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Cholesterol, abundantly present in distinct plasma membrane pools, is a critical modulator of ion channel function, including hyperpolarization-activated cyclic nucleotide-gated (HCN) channels that regulate the excitability of dorsal root ganglion (DRG) nociceptor neurons. Depletion of membrane cholesterol potentiated HCN channel opening and accelerated activation kinetics, whereas cholesterol supplementation reduced channel opening and slowed activation kinetics. However, the relative contributions of cholesterol that organizes ordered membrane domains (OMDs) versus freely accessible cholesterol pools to HCN channel modulation remain unknown. Using fluorescence lifetime imaging microscopy, FRET and fluorescence anisotropy techniques, we examined how supplementing cholesterol alters plasma membrane properties and HCN gating in nociceptor DRG neurons. We uncovered a process of sequential, stepwise membrane remodeling: an initial phase with OMD expansion and a rapid rise in free cholesterol, followed by continued accumulation of free cholesterol without further OMD expansion. Notably, the slope factor of the HCN G-V relationship is sensitive to OMD expansion but remains unaffected by changes in free cholesterol. Other gating parameters, including open probability and activation kinetics, were affected by elevating free cholesterol. In a rat model of nerve injury, where DRG neurons exhibit reduced free cholesterol levels and smaller OMDs, HCN channel modulation by cholesterol involves contributions from both OMD expansion and free cholesterol accumulation. In contrast, in naïve DRG neurons—characterized by high cholesterol and large OMDs—modulation occurs mostly via increased free cholesterol. These findings provide mechanistic insights into cholesterol-dependent modulation of ion channels and its role in neuropathic pain.

Cholesterol is a fundamental component of the eukaryotic plasma membrane (PM), accounting for about 30–50 mol% of total lipids in mammalian cells and exerting profound effects on membrane structure and function (Veatch and Keller, 2002; Simons and Ehehalt, 2002; Liu et al., 2017). Its rigid sterol ring structure embeds between the acyl chains of membrane lipids, reducing their motional freedom and promoting lipid packing, thereby increasing membrane order and thickness while decreasing permeability to small polar molecules (Corvera et al., 1992; Subczynski et al., 2017). Beyond these physical effects, cholesterol contributes to the lateral heterogeneity of the membrane by driving the formation of lipid-ordered membrane domains (OMDs), which serve as organizing platforms for proteins and signaling assemblies (Simons and Ehehalt, 2002; Lingwood and Simons, 2010; Levental and Lyman, 2023). The asymmetric distribution of cholesterol between the inner and outer leaflets, as well as its dynamic exchange between membrane pools, adds further complexity to its regulatory functions (Das et al., 2014; Liu et al., 2017). Given its central role in shaping membrane architecture and influencing protein–lipid interactions, cholesterol has emerged as a key regulator of cellular excitability and signal transduction (Kinnebrew et al., 2019; Wang et al., 2021; Handlin et al., 2024; Robinson et al., 2019).

Cholesterol-mediated modulation of ion channel function remains an area of intense investigation, with longstanding debates about whether its effects arise from direct molecular interactions or from alterations in membrane organization (Levitan et al., 2014; Beverley and Levitan, 2024; Furst and D’Avanzo, 2015; Veatch and Keller, 2002). Emerging evidence suggests that cholesterol-rich, lipid-ordered membrane compartments—also known as OMDs—play a crucial role in organizing membrane proteins and signaling complexes, thereby influencing the functional properties of ion channels (Lingwood and Simons, 2010; Levental and Lyman, 2023; Hilgemann et al., 2018; Handlin et al., 2024; Veatch and Keller, 2002). Among these, hyperpolarization-activated cyclic nucleotide-gated (HCN) channels regulate neuronal excitability through generating “Ih current,” which is mostly sodium inward current in physiological conditions that promotes membrane depolarization (DiFrancesco, 1986; Saponaro et al., 2021a; Zagotta et al., 2003; Craven and Zagotta, 2006). For somatosensory neurons, small-diameter nociceptor dorsal root ganglion (DRG) neurons predominantly express the HCN2 isoform and exhibit relatively slow HCN currents that are highly sensitive to cAMP (Momin et al., 2008; Emery et al., 2011; Handlin et al., 2024; Saponaro et al., 2021b). In contrast, larger DRG neurons display faster HCN currents and primarily express the HCN1 isoform, which shows limited sensitivity to cAMP (Momin et al., 2008; Emery et al., 2011). Aberrant upregulation or altered gating of HCN channels in sensory neurons has been linked to increased excitability and spontaneous firing, hallmarks of chronic pain states (Emery et al., 2011; Chaplan et al., 2003; Young et al., 2014). Furthermore, HCN2 and HCN4 isoforms are thought to reside in OMDs, whereas HCN1 is predominantly localized to disordered membrane regions (Handlin and Dai, 2023; Handlin et al., 2024). Thus, the OMD-mediated modulation of HCN channels, particularly HCN2 channels in small nociceptor DRG neurons, has emerged as a mechanistic mechanism underlying the pathophysiology of neuropathic pain (Emery et al., 2011; Emery et al., 2012; Lainez et al., 2019; Furst and D’Avanzo, 2015; Handlin and Dai, 2023; Handlin et al., 2024).

The voltage sensor activity and function of HCN channels are modulated by their localization within OMDs, suggesting a lipid-dependent mechanism of regulation (Handlin and Dai, 2023; Handlin et al., 2024). We recently uncovered that disruption of OMDs through cholesterol extraction dramatically alters native HCN currents, pointing to OMDs as key modulators of HCN channel activity in the context of neuropathic pain (Handlin et al., 2024). Cholesterol extraction and supplementation modulate action potential firing in small nociceptor DRG neurons, in part by altering OMD size and consequently affecting HCN channel gating (Handlin et al., 2024). Understanding how cholesterol and OMDs regulate HCN channels could reveal novel therapeutic strategies for targeting pathological hyperexcitability in neuropathic pain.

This study provides evidence that cholesterol dynamically regulates HCN channel gating through a dual mechanism: by modifying OMDs and by altering free, accessible cholesterol levels in the inner leaflet of the PM. By integrating fluorescence lifetime imaging (FLIM), FRET, genetically encoded cholesterol sensors, and homo-FRET–based anisotropy imaging, we reveal a sequential response to cholesterol enrichment at the PM: an initial OMD expansion, followed by a sustained increase in inner and outer leaflet cholesterol. This distinction allows us to temporally separate the impact of OMDs from that of cholesterol accumulation, addressing a persistent challenge in membrane biophysics. Our findings have direct implications for the pathophysiology of neuropathic pain. In a nerve injury model, we show that DRG neurons exhibit smaller OMDs and reduced inner leaflet cholesterol. In vivo, cholesterol depletion induces mechanical hypersensitivity in naïve rats, while cholesterol supplementation alleviates mechanical hypersensitivity in a model of chronic neuropathic pain. These changes correlate with altered HCN channel gating, providing a mechanistic link between lipid remodeling and hyperexcitability in chronic pain states. By elucidating how cholesterol dynamically regulates membrane properties, this study opens new avenues for investigating cholesterol-mediated modulation of ion channels in excitable cells.

Cell culture and molecular reagents

The tsA-201 cell line (RRID: CVCL_2737), a derivative of human embryonic kidney (HEK293) cells, was obtained from Sigma-Aldrich (catalog #96121229). The identity of the cell line was authenticated by Sigma using short tandem repeat profiling. Cells were maintained in Dulbecco's Modified Eagle's Medium (DMEM; Gibco) supplemented with 10% FBS (Gibco) and 1% penicillin-streptomycin (Gibco) under humidified conditions at 37°C with 5% CO2 in tissue culture dishes (CELLTREAT). Transfections were performed at 70–90% confluency using the Lipofectamine 3000 Kit (#L3000008; Invitrogen) following the manufacturer’s protocol. Mycoplasma testing was performed using the MycoFluor Mycoplasma Detection Kit (Invitrogen) and tested negative. The tsA-201 cell line was selected because, similar to HEK293T cells, it exhibits high transfection efficiency and robust heterologous expression of proteins. Importantly, tsA-201 cells maintain cholesterol and membrane lipid composition representative of mammalian cells. These properties make tsA-201 cells an ideal heterologous system for examining how changes in membrane cholesterol and OMDs regulate membrane function.

Cholera toxin subunit B (CTxB) conjugated to Alexa Fluor 488 and 647 was obtained from Thermo Fisher Scientific and applied to cultured cells at a concentration of 20 nM for ∼5–10 min before imaging. CTxB binds to GM1-enriched OMDs with a picomolar affinity. The eGFP-GRAM-W plasmid was obtained from Addgene (#211701). The C-terminal mCherry-tagged ostreolysin A (OlyA) was synthesized and purified by GenScript and was applied to cultured cells at a concentration of 1 μM for ∼1 h. Before imaging, OlyA-treated cells were incubated in regular DMEM medium for 30 min to wash away unbound OlyA.

β-cyclodextrin (β-CD), methyl-βCD (mβCD), α-cyclodextrin, and water-soluble cholesterol (WSC) were purchased from Sigma-Aldrich. For same-cell fluorescence and electrophysiology experiments performing cholesterol enrichment, an equal volume of 1 mg/ml WSC in the same external solution was pipetted into the recording chamber, resulting in a final cholesterol concentration of 0.5 mg/ml. For cholesterol-extraction related electrophysiological recordings of HCN currents, an equal volume of 10 mM mβCD in an external solution was pipetted into the recording chamber, generating a final concentration of 5 mM. For fluorescence experiments on tsA cells, 5 mM β-CD was applied using the same method, generating a final concentration of 2.5 mM.

FLIM-FRET and fluorescence anisotropy

Fluorescence microscopy and FLIM experiments were performed like previous research (Handlin et al., 2024). A laser scanning confocal system with a FastFLIM data acquisition module (ISS, Inc.) and two hybrid PMT detectors (Hamamatsu) was used for frequency-domain FLIM imaging. A supercontinuum laser (YSL Photonics) provided excitation at specific wavelengths for CFP, GFP, Alexa Fluor 488 (AF-488), and mCherry with consistent laser intensity across samples. Emission was detected using dichroic cubes and filters optimized for CFP/YFP and AF-488/AF-555 FRET pairs. Confocal images (256 × 256 pixels) were acquired using a 100-µm pinhole and pixel dwell times of 0.1–0.4 ms. Image acquisition and processing were performed with VistaVision software (ISS, Inc.), enabling phasor plotting and FLIM analysis (Digman et al., 2008; Handlin et al., 2024; Malacrida et al., 2021; Ranjit et al., 2018). A smoothing filter and intensity-threshold filter were applied to isolate membrane-localized lifetime signals. The phasor FLIM approach distinguished membrane fluorescence from cytosolic and background signals, allowing separation of endocytosed and membrane-localized CTxB. Phase delays (φ) and modulation ratios (m) were determined using Fourier transforms, accounting for the instrument response function calibrated with fluorophores of known lifetimes (Atto 425, rhodamine 110, and rhodamine B) (Malacrida et al., 2021). FLIM-FRET analysis was conducted with the VistaVision FRET trajectory function, optimizing background and donor contributions for accuracy and maintaining background levels below 5% to minimize interference.

Fluorescence anisotropy was used to assess the membrane localization and dynamics of eGFP-glucosyltransferases, Rab-like GTPase activators, and myotubularins (GRAM)-W and mCherry-tagged OlyA proteins. Anisotropy measurements were performed using a polarization module integrated with a confocal microscope, enabling simultaneous acquisition. The system included a half-wave plate and a linear polarizer assembly at the laser entrance, both of which were rotatable with 1° precision over 360° to define the excitation polarization state. Emission fluorescence was separated into parallel (I) and perpendicular (I) components relative to the excitation polarization using a polarization beam splitter assembly, allowing for precise anisotropy measurements. Cells labeled with membrane-localized GFP- or mCherry-tagged constructs were cultured on glass-bottom petri dishes and maintained in imaging buffer to preserve physiological conditions. Anisotropy was determined using a software package in VistaVision that acquired fluorescence intensity in the two detection channels, with intensity-based background subtraction applied to correct for autofluorescence and cytosolic fluorescence. The fluorescence anisotropy (r) at the PM was calculated using the equation: r = (I − I)/( + 2*I) (Dai et al., 2018; Joshi et al., 2024).

The homo-FRET efficiency of GRAM-W was estimated using fluorescence anisotropy measurements at the PM and in the cytoplasmic region following β-CD treatment. After 5 min of cholesterol extraction with β-CD, GRAM-W exhibited near-complete translocation to the cytosol, where the measured anisotropy of 0.375 was assumed to represent a state minimally affected by homo-FRET and was designated as r’. This assumption is based on the typical cytosolic concentration of constructs following overexpression, which ranges from 1 to 10 µM, corresponding to average intermolecular distances of ∼118 nm (for 1 µM) to 55 nm (for 10 µM) in a 3-D space. Given that the Förster distance (R0) for homo-FRET between GFP molecules is ∼5 nm, these large intermolecular distances in the cytosol are expected to preclude significant homo-FRET interactions. The homo-FRET efficiency was then calculated using the equation Ehomo-FRET = 1 – r/r’, where r is the measured anisotropy at the PM and r’ is the cytosolic anisotropy (0.375), serving as the reference value in the absence of homo-FRET (Joshi et al., 2024; van Zanten et al., 2023). The homo-FRET efficiency of OlyA-mCherry was estimated using a similar approach. The anisotropy of OlyA-mCherry in the absence of homo-FRET was measured to be 0.251 using purified OlyA-mCherry dissolved (5 µM) in dPBS.

Poisson statistics in calculating the probability of CTxB occupancy in response to OMD expansion

We consider the binding affinity EC50 of CTxB to the membrane to be 2 nM, and we use C = 20 nM CTxB extracellularly. The percentage of GM1 sites occupied would be f = C/(C + EC50) = 0.91, based on the Langmuir isotherm. If we assume the membrane lipid density as 1.54/nm2, we can estimate using an example of 30800 GM1 per square micrometer (μm2) or 2 mol% of all lipids within OMD (Fig. 2, B and C; also see 0.5 mol% and 1 mol% of GM1 in the Fig. S1). The stoichiometry between GM1 and CTxB is 5:1.

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Figure S1
Poisson statistics–based simulations illustrating the increased probability of CTxB binding as OMD size increases. (A–D) Relative to simulations using 2 mol% GM1 (Fig. 2), simulations shown here assume lower GM1 densities within OMDs: 0.5 mol% (A and B) and 1 mol% (C and D). Within a given cell type, GM1 density within OMDs is assumed to remain constant. Refer to the image caption for details. Graph A shows the individual probability (n equals k) for 0 to 4 C T x B molecules. As the O M D diameter increases from 0 to 100 nanometer, the probability for k equals 0 (black) drops sharply, while k equals 1 (red), k equals 2 (cyan), k equals 3 (green), and k equals 4 (purple) show successive peaks at approximately 30 nanometer, 45 nanometer, 55 nanometer, and 70 nanometer, respectively. Graph B displays the cumulative probability (k greater than or equal to 2) of multiple C T x B molecules occupying a single O M D. The probability follows a sigmoid curve, starting near 0 at 10 nanometers and reaching a plateau of 1.0 (certainty) at approximately 80 nanometers. Graph C shows similar occupancy peaks as Graph A, but the higher G M 1 density causes the shift toward multiple occupancy to occur at smaller O M D diameters. For example, the peak for k equals 1 (red) occurs earlier, at roughly 20 nanometers. Graph D shows the cumulative probability (k greater than or equal to 2) for 1 percent G M 1 density, which also follows a sigmoid curve but reaches its 1.0 plateau faster than the 0.5 percent density, at approximately 60 nanometers. All values are approximate.

Poisson statistics–based simulations illustrating the increased probability of CTxB binding as OMD size increases. (A–D) Relative to simulations using 2 mol% GM1 (Fig. 2), simulations shown here assume lower GM1 densities within OMDs: 0.5 mol% (A and B) and 1 mol% (C and D). Within a given cell type, GM1 density within OMDs is assumed to remain constant.

Figure S1.
Four time course plots showing the probability of C T x B binding as O M D size increases with different G M 1 densities. Graph A shows the individual probability (n equals k) for 0 to 4 C T x B molecules. As the O M D diameter increases from 0 to 100 nanometer, the probability for k equals 0 (black) drops sharply, while k equals 1 (red), k equals 2 (cyan), k equals 3 (green), and k equals 4 (purple) show successive peaks at approximately 30 nanometer, 45 nanometer, 55 nanometer, and 70 nanometer, respectively. Graph B displays the cumulative probability (k greater than or equal to 2) of multiple C T x B molecules occupying a single O M D. The probability follows a sigmoid curve, starting near 0 at 10 nanometers and reaching a plateau of 1.0 (certainty) at approximately 80 nanometers. Graph C shows similar occupancy peaks as Graph A, but the higher G M 1 density causes the shift toward multiple occupancy to occur at smaller O M D diameters. For example, the peak for k equals 1 (red) occurs earlier, at roughly 20 nanometers. Graph D shows the cumulative probability (k greater than or equal to 2) for 1 percent G M 1 density, which also follows a sigmoid curve but reaches its 1.0 plateau faster than the 0.5 percent density, at approximately 60 nanometers. All values are approximate.

Poisson statistics–based simulations illustrating the increased probability of CTxB binding as OMD size increases. (A–D) Relative to simulations using 2 mol% GM1 (Fig. 2), simulations shown here assume lower GM1 densities within OMDs: 0.5 mol% (A and B) and 1 mol% (C and D). Within a given cell type, GM1 density within OMDs is assumed to remain constant.

Close modal
The mean individual OMD area is calculated using AOMD = π(d/2)2, where d is the diameter of OMD, simplified as a circular area. Thus, the mean CTxB occupancy per OMD would be
Using Poisson statistics, the probability of a particular number (k) of CTxB per OMD is calculated using the formula
The probability of more than one CTxB per OMD is calculated as

Furthermore, the mean CTxB–CTxB spacing defined by the GM1-imposed surface density is a constant, as it is set by the GM1–CTxB-binding stoichiometry and the GM1 density within OMDs. Consequently, the increase in FRET observed with increasing OMD size arises primarily from the higher probability that two or more CTxB molecules occupy the same OMD, rather than from a change in the local intermolecular spacing of CTxB within OMDs.

Rat studies and primary DRG neurons

Pathogen-free adult and naïve Sprague-Dawley rats (RRID: RGD_70508; 100–250 g, Envigo) were maintained in a controlled environment with a 12-h light/dark cycle (lights on at 07:00 h) and a regulated temperature of 23 ± 3°C. Food and water were provided ad libitum. All experimental procedures were conducted in accordance with National Institutes of Health guidelines and were approved by the Institutional Animal Care and Use Committee of Saint Louis University (protocol number: 3014). Behavioral testing was performed by researchers blinded to experimental conditions.

DRG from the ipsilateral side of nerve injuries were isolated from adult Sprague-Dawley rats. The dissection involved removing dorsal skin and muscle layers, followed by precise cutting of the vertebral bone processes to expose the DRGs. The excised DRGs were trimmed at their roots and enzymatically digested in 3 ml sterile, bicarbonate-free, serum-free DMEM (Catalog# 11965; Thermo Fisher Scientific) supplemented with neutral protease (3.125 mg/ml, Catalog# LS02104; Worthington) and collagenase Type I (5 mg/ml, Catalog# LS004194; Worthington). The tissue was incubated for 45 min at 37°C with gentle agitation. After digestion, the dissociated DRG neurons (∼1.5 × 106 cells) were collected by centrifugation, washed with DRG culture medium (DMEM supplemented with 1% penicillin-streptomycin sulfate from a 10,000 µg/ml stock, 30 ng/ml nerve growth factor, and 10% FBS), and plated onto 12-mm coverslips coated with poly-D-lysine and laminin.

Spared nerve injury surgery and von Frey test

Animals were anesthetized with isoflurane (5%) and placed on a heated blanket to preserve body temperature. Anesthesia was maintained (2.5%) throughout the surgery. Areflexia was confirmed before starting the surgery. Chlorhexidine was applied twice on the right leg, and a small incision (2–3 cm) was performed on the thigh. The biceps femoris muscle was bluntly dissected to expose the three terminal branches of the sciatic nerve. The common peroneal and tibial branches were tightly ligated with 4–0 silk and axotomized, leaving the sural branch intact. The muscle was sutured with 5–0 absorbable suture, and the skin was autoclipped. Antibiotic ointment was applied on the skin. Animals were allowed to recover for 7 days before any testing.

Mechanical allodynia was measured by assessing the withdrawal threshold of the paw in response to probing with a series of calibrated fine (von Frey) filaments. Animals were placed in Plexiglas boxes on an elevated mesh screen and were given 15 min to acclimate. Filaments were applied on the plantar surface of both hind paws in ascending forces until a withdrawal reflex or until the cutoff filament of 15 g. The withdrawal threshold was determined by sequentially increasing and decreasing the stimulus strength (the “up and down” method), and data were analyzed with the nonparametric method of Dixon (Chaplan et al., 1994) and expressed as the mean withdrawal threshold.

Patch-clamp electrophysiology

Whole-cell patch-clamp recordings were conducted using an EPC10 amplifier in conjunction with PATCHMASTER (RRID:SCR_000034) software (HEKA), employing a 5 kHz sampling rate. Borosilicate glass pipettes were fabricated with a P1000 micropipette puller (Sutter Instrument), yielding an initial resistance of 2.5–4 MΩ. A Sutter MP-225A motorized micromanipulator was utilized for precise electrode positioning. Experiments were carried out at room temperature.

To measure HCN currents in DRG neurons, the internal pipette solution was composed of (in mM): 10 NaCl, 137 KCl, 4 Mg-ATP, 10 HEPES, 1 EGTA, and adjusted to pH 7.3 with KOH. The 4 mM Mg-ATP is sufficient to prevent PI(4,5)P2 hydrolysis-mediated current rundown during the whole-cell patch-clamp experiments (Dai et al., 2016; Pian et al., 2007). The extracellular solution consisted of (in mM): 154 NaCl, 5.6 KCl, 1 MgCl2, 1 CaCl2, 8 HEPES, and 10 D-glucose, with pH set to 7.4 using NaOH. Series resistance was consistently maintained below 10 MΩ, with compensation adjusted between 40 and 70%. The G-V relationship of endogenous HCN currents was derived from instantaneous tail currents measured at −60 mV following test pulses ranging from −40 to −140 mV. Leak-subtracted tail currents at −60 mV were normalized to the maximum tail current amplitude to determine relative conductance (G/Gmax). These values were plotted as a function of the test pulse voltage and fitted to the Boltzmann equation: G/Gmax = 1/{1 + exp[(V − V1/2)/VS]}, where V represents membrane potential, V1/2 denotes the voltage for half-maximal activation, and Vs is the slope factor. The slope factor was defined as Vs = RT/zF, where R is the gas constant, T is the absolute temperature (297 K), F is the Faraday constant, and z represents the estimated gating charge per channel required for activation. Action potentials were recorded in PATCHMASTER using current-clamp mode rather than voltage clamp (Handlin et al., 2024). Resting membrane potential was set with zero current injection. Absolute current injections were then applied to induce action potentials. DRG neurons showed current-dependent adaptation, with firing rates decreasing as injected current increased.

For whole-cell Na+ channel current recordings, we used a reduced extracellular sodium concentration, as established in previous studies, to decrease the electrochemical driving force and enable more effective voltage clamping of fast Na+ currents (Zhang et al., 2017). The extracellular solution consisted of (in mM): 35 NaCl, 65 choline-Cl, 30 TEA-Cl, 0.1 CaCl2, 5 MgCl2, 0.1 CdCl2, 10 HEPES, and 10 glucose; pH was adjusted to 7.4. The internal pipette solution contained (in mM): 100 cesium methanesulfonate, 40 TEA-Cl, 5 NaCl, 1 CaCl2, 11 EGTA, 10 HEPES, 2 Mg-ATP, and 1 GTP, pH was adjusted to 7.4. A p/−4 leak subtraction method was used to cancel passive capacitive transients. The peak current amplitude at each voltage step was used to construct the G-V relationship for channel activation after correcting for the voltage-dependent driving force. To estimate the driving force at each membrane potential, we determined the reversal potential by linearly extrapolating peak current amplitudes recorded at depolarized voltages to the voltage at which the net current was zero. Steady-state inactivation was assessed using a voltage protocol consisting of pre-pulse steps from −70 to 0 mV, followed by a main test pulse at 0 mV. Peak current amplitudes during the main pulse were normalized to the maximal response and used to estimate postinactivation conductance.

Statistics and reproducibility

Data parameters are expressed as mean ± SEM from independent cells or patches. All successful single-cell imaging and patch-clamp recordings were included in the analysis; no successful datasets were excluded. Sample size was based on previously published results using patch-clamp recordings of cell lines and primary cells, rat behavior tests, or applying ensemble FRET that generated sufficient statistical power. All experiments were conducted randomly and confirmed to be reproducible. Key experiments were conducted with at least two independent cell transfections or surgical preparations from animals. The specific number of independent replicates is provided in the figure legends. For single-cell imaging or patch-clamp experiments, statistical significance was assessed using a paired t test for comparisons between before and after treatments. For behavior experiments, two-way ANOVA or Mann–Whitney tests were used. Statistical thresholds were set at *P < 0.05 and **P < 0.01, respectively.

Online supplemental material

Fig. S1 shows Poisson statistics–based simulations illustrating the increased probability of CTxB binding as OMD size increases. Fig. S2 shows confocal imaging showing the effects of cholesterol extraction or supplementation on the membrane localization of GRAM-W-eGFP. Fig. S3 shows CTxB-based FLIM-FRET responses to cholesterol enrichment in naïve and spared nerve injury (SNI) nociceptor DRG neurons. Fig. S4 shows that WSC treatment does not change the fluorescence lifetime of eGFP-GRAM-W. Fig. S5 shows an increase in current amplitude and acceleration of the HCN channel activation by cholesterol depletion in the presence of a saturating concentration of cAMP. Fig. S6 shows control experiments examining HCN channel gating in naïve DRG nociceptors without WSC treatment, in comparison with conditions with WSC treatment. Fig. S7 shows the effects of cholesterol extraction on the gating of endogenous sodium currents of naïve nociceptor DRG neurons. Table S1 shows the effects on HCN gating parameters by cholesterol supplementation.

Cholesterol levels modulate membrane excitability and mechanical pain sensitivity

Cholesterol enrichment reduced the hyperexcitability of SNI nociceptor DRG neurons in vitro, consistent with a suppressive effect on HCN channel activity in our experiments (Handlin et al., 2024). We observed considerable effects in the same patch experiment, consistent with our previous findings using β-CD or WSC pretreatments on DRG neurons (Handlin et al., 2024). In non-spontaneously firing naïve DRG neurons, cholesterol extraction induced spontaneous firing (Fig. 1 A), whereas in spontaneously firing neurons, it increased firing frequency (Fig. 1 B). In the same-patch experiment, WSC treatment markedly suppressed action potential firing, as demonstrated by current-clamp recordings with incremental current injections (Fig. 1, C and D). These same-patch treatment data highlight the critical role of cholesterol in regulating the membrane excitability of sensory neurons.

Figure 1.
Multiple graphs depict the effects of cholesterol on membrane excitability and mechanical hypersensitivity in rats. Panels A and B: Electrophysiological traces showing that beta-cyclodextrin treatment (cholesterol extraction) converts non-spontaneous neurons to firing states and increases the frequency of spontaneously firing naive D R G neurons. Panels C and D: Representative traces and a summary graph showing that cholesterol enrichment via Water-Soluble Cholesterol (W S C) significantly reduces the number of action potentials (A P s) elicited by injected currents (0 to 100 p A) compared to control conditions. Panels E & F: Behavioral data in naive rats. Panel E shows a significant drop in the paw withdrawal threshold (mechanical hypersensitivity) following beta-cyclodextrin injection compared to alpha-cyclodextrin. In panel F, a bar graph quantifies this effect as the integrated area under the curve. Panels G and H: Data from a Spared Nerve Injury (S N I) model. Panel G shows that intraplantar injection of cholesterol (W S C) increases the paw withdrawal threshold on the injured side, effectively reversing mechanical hypersensitivity. Panel H confirms this increase through a bar graph of the integrated area. All data are approximate.

Cholesterol regulates membrane excitability and mechanical hypersensitivity in naïve and neuropathic pain rats. (A–C) Representative action potential firing of non-spontaneously (A) and spontaneously (B) firing naïve DRG neurons before and after β-CD treatment from the same-patch experiments. (C) Representative action potential firing of a naïve DRG neuron before and after the WSC treatment from the same-patch experiment. (D) Summary graph showing the effect of WSC on current injection-elicited action potential firing in naïve DRG neurons (n = 11, mean ± SEM). The P values are 0.04, 0.006, 0.005, 0.006, and 0.005 at 20, 40, 60, 80, and 100 pA current injections, respectively. (E and F) Naïve rats were injected intraplantarly with β-CD or its ineffective analog, α-cyclodextrin (α-CD) (20 mM each in 50 μl), and paw withdrawal threshold (PWT) was measured. In E, the graph shows the hind-paw withdrawal threshold of naïve rats injected as indicated. The threshold for the injected paw versus the uninjected paw for each group is shown. β-CD, but not α-CD, reduced the threshold in the injected paw compared with the control paw and α-CD–injected groups. The P values highlighted are 0.18, 0.06, 0.06, 0.004, and 0.004 at time points of 1, 2, 3, 5, and 24 h, comparing β-CD and α-CD conditions. In F, a bar graph with scatter plots shows the integrated area under the curves corresponding to the marked lines in panel E (from 0 to 48 h), demonstrating a significant reduction in the PWT in the β-CD–injected paw group (n = 6 rats per group), P = 0.002 compared with the control, Mann–Whitney test. (G and H) Following the SNI surgery, rats developed chronic neuropathic pain. Rats then received an intraplantar injection of WSC (∼1 mg/ml, 50 μl). In G, a graph shows the PWT of rats with SNI injected as indicated. For each rat, both the injured and noninjured paws were injected, and withdrawal thresholds were measured. WSC injection significantly increased the PWT and reversed mechanical hypersensitivity on the injured side of SNI rats while having no effect on the control noninjured side. The P values highlighted are 0.02, 0.004, 2e−4, 0.03, 0.4, and 0.14 at time points of 1, 2, 3, 4, 5, and 24 h, comparing saline and cholesterol conditions. In H, a bar graph with scatter plots shows the integrated area of the data (lines with markers) in panel G (from 0 to 24 h), demonstrating a significant anti-hypersensitivity effect of cholesterol compared with saline-treated SNI rats (n = 10–11 rats per group), P = 0.007 compared with the control, Mann–Whitney test. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01.

Figure 1.
Multiple graphs depict the effects of cholesterol on membrane excitability and mechanical hypersensitivity in rats. Panels A and B: Electrophysiological traces showing that beta-cyclodextrin treatment (cholesterol extraction) converts non-spontaneous neurons to firing states and increases the frequency of spontaneously firing naive D R G neurons. Panels C and D: Representative traces and a summary graph showing that cholesterol enrichment via Water-Soluble Cholesterol (W S C) significantly reduces the number of action potentials (A P s) elicited by injected currents (0 to 100 p A) compared to control conditions. Panels E & F: Behavioral data in naive rats. Panel E shows a significant drop in the paw withdrawal threshold (mechanical hypersensitivity) following beta-cyclodextrin injection compared to alpha-cyclodextrin. In panel F, a bar graph quantifies this effect as the integrated area under the curve. Panels G and H: Data from a Spared Nerve Injury (S N I) model. Panel G shows that intraplantar injection of cholesterol (W S C) increases the paw withdrawal threshold on the injured side, effectively reversing mechanical hypersensitivity. Panel H confirms this increase through a bar graph of the integrated area. All data are approximate.

Cholesterol regulates membrane excitability and mechanical hypersensitivity in naïve and neuropathic pain rats. (A–C) Representative action potential firing of non-spontaneously (A) and spontaneously (B) firing naïve DRG neurons before and after β-CD treatment from the same-patch experiments. (C) Representative action potential firing of a naïve DRG neuron before and after the WSC treatment from the same-patch experiment. (D) Summary graph showing the effect of WSC on current injection-elicited action potential firing in naïve DRG neurons (n = 11, mean ± SEM). The P values are 0.04, 0.006, 0.005, 0.006, and 0.005 at 20, 40, 60, 80, and 100 pA current injections, respectively. (E and F) Naïve rats were injected intraplantarly with β-CD or its ineffective analog, α-cyclodextrin (α-CD) (20 mM each in 50 μl), and paw withdrawal threshold (PWT) was measured. In E, the graph shows the hind-paw withdrawal threshold of naïve rats injected as indicated. The threshold for the injected paw versus the uninjected paw for each group is shown. β-CD, but not α-CD, reduced the threshold in the injected paw compared with the control paw and α-CD–injected groups. The P values highlighted are 0.18, 0.06, 0.06, 0.004, and 0.004 at time points of 1, 2, 3, 5, and 24 h, comparing β-CD and α-CD conditions. In F, a bar graph with scatter plots shows the integrated area under the curves corresponding to the marked lines in panel E (from 0 to 48 h), demonstrating a significant reduction in the PWT in the β-CD–injected paw group (n = 6 rats per group), P = 0.002 compared with the control, Mann–Whitney test. (G and H) Following the SNI surgery, rats developed chronic neuropathic pain. Rats then received an intraplantar injection of WSC (∼1 mg/ml, 50 μl). In G, a graph shows the PWT of rats with SNI injected as indicated. For each rat, both the injured and noninjured paws were injected, and withdrawal thresholds were measured. WSC injection significantly increased the PWT and reversed mechanical hypersensitivity on the injured side of SNI rats while having no effect on the control noninjured side. The P values highlighted are 0.02, 0.004, 2e−4, 0.03, 0.4, and 0.14 at time points of 1, 2, 3, 4, 5, and 24 h, comparing saline and cholesterol conditions. In H, a bar graph with scatter plots shows the integrated area of the data (lines with markers) in panel G (from 0 to 24 h), demonstrating a significant anti-hypersensitivity effect of cholesterol compared with saline-treated SNI rats (n = 10–11 rats per group), P = 0.007 compared with the control, Mann–Whitney test. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01.

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To examine whether cholesterol manipulation influences pain behaviors in vivo and to assess its physiological impact, we tested if a local administration of cholesterol-depleting or cholesterol-supplementing agents in naïve or SNI neuropathic pain rats resulted in changes in mechanical hypersensitivity. Intraplantar injection of β-CD, but not its inactive analog α-cyclodextrin, induced significant mechanical hypersensitivity in naïve rats, as evidenced by a time-dependent reduction in paw withdrawal threshold on the injected paw compared with the contralateral control paw and α-cyclodextrin–injected animals (Fig. 1 E). This effect persisted for 24 h and was quantitatively confirmed (Fig. 1 F), highlighting a pronociceptive effect of acute cholesterol chelation in naïve animals. We next examined whether cholesterol supplementation could alleviate established mechanical hypersensitivity in rats with SNI, a well-characterized model of neuropathic pain (Decosterd and Woolf, 2000; Moutal et al., 2017). Intraplantar injection of WSC partially reversed mechanical hypersensitivity in the injured paw while having no effect on the noninjured contralateral paw (Fig. 1, G and H). The anti-hypersensitivity effect was sustained for 4 h. Together, these findings demonstrate that cholesterol homeostasis plays a critical role in regulating nociceptive thresholds under both physiological and neuropathic pain conditions. Moreover, considering the significant expression of HCN channels in sensory nerve fibers (Doan et al., 2004; Acosta et al., 2012), these findings provide in vivo evidence supporting the therapeutic potential of cholesterol enrichment and are consistent with our observations in cultured nociceptor DRG neurons (Handlin et al., 2024). Cholesterol depletion enhances pain sensitivity, whereas cholesterol supplementation reverses mechanical hypersensitivity, supporting a model in which membrane cholesterol acts as a potent modulator of pain signaling.

Temporally resolved steps of membrane remodeling during cholesterol enrichment

To define how cholesterol modulates membrane functions that could contribute to pain sensation in neurons, we first examined changes in PM properties following cholesterol enrichment. Because cholesterol is an inherent component of OMDs, distinguishing its specific effects from those of OMDs on membrane proteins remains challenging. Altering one without affecting the other was not feasible. To quantify the OMD size, we used FRET pairs based on CTxB, specifically AF-488 CTxB conjugates as FRET donors and Alexa Fluor 647 (AF-647) CTxB conjugates as FRET acceptors (Fig. 2 A). As previously demonstrated, CTxB binds to the GM1 lipids in OMDs with high affinity (Matsubara et al., 2021; Sachl et al., 2015), and the FRET efficiency between CTxB-AF-488/CTxB-AF-647 can report the size of OMDs in cultured cells (Handlin et al., 2024). An increase in FRET efficiency reflects a higher probability that FRET donor- and acceptor-labeled CTxB molecules colocalize within the same OMD and undergo energy transfer in ensemble measurements. This increase in FRET primarily arises from the elevated likelihood that multiple CTxB molecules occupy a single OMD as OMD size expands. In contrast, small OMDs can accommodate at most one CTxB molecule, resulting in minimal FRET. A Poisson statistics–based simulation summarizes these defining features of the CTxB-based FRET approach (Fig. 2, B and C; and Fig. S1; and see Materials and methods).

Figure 2.
A multi-part diagram with graphs shows C T x B occupancy in O M D s and F L I M-F R E T efficiency in t s A-201 cells. Panel A shows a schematic illustration depicting Förster Resonance Energy Transfer (F R E T) between C T x B A F-488 (donor) and C T x B A F-647 (acceptor) occurring in large Outer Membrane Domains (O M D s) but not in small O M D s. Panels B and C: Graphs modeling C T x B occupancy (n equals k) within O M D s using Poisson statistics. Panel B shows probability curves for 0 to 4 C T x B molecules, while Panel C shows the cumulative probability for k greater than or equal to 2 C T x B per O M D as a function of mean O M D diameter (nanometer). Panels D and E: Representative phasor plots (S versus G) of membrane-localized fluorescence in t s A-201 cells. The F R E T efficiency (E) increases from 0.05 before W S C treatment to 0.09 after W S C treatment. Insets provide magnified views of the data clusters. Panel F: A time course graph (0 to 7 minutes) showing normalized fluorescence (green) and F L I M-F R E T (blue) post-W S C application. Both metrics show a sharp increase within the first two minutes, indicating rapid membrane reorganization following cholesterol enrichment. All values are approximate.

Combining the CTxB-based FRET approach and a cholesterol sensor in assessing the modulation of PM properties by cholesterol enrichment. (A) Cartoon showing the FRET between CTxB AF-488 and CTxB AF-647 under conditions of small OMDs and large OMDs. Only one fluorophore is shown for the CTxB pentamer for simplicity. (B and C) CTxB occupancy within OMDs was modeled using Poisson statistics with a nonlinear dependence on OMD diameter (B) to interpret CTxB-based FLIM-FRET responses to OMD expansion. The increased FRET with larger OMDs reflects a higher probability of multiple CTxB molecules occupying the same OMD (C). (D and E) Representative phasor plots of membrane-localized fluorescence of tsA201 cells from donor alone (CTxB AF-488 only) or with the acceptor CTxB AF-647 before (D) and after (E) the WSC treatment. The FRET efficiency was calculated using the FRET trajectory (in red). The insets show amplified views of the phasor plots. A confocal image of membrane-localized fluorescence of a tsA cell labeled with CTxB is also shown. (F) Time course of the change in normalized fluorescence intensity at the PM and the CTxB-based FLIM-FRET efficiency after 0.5 mg/ml WSC application in tsA201 cells. Data shown are mean + SEM; WSC was added to the culture medium at the start of time-lapse imaging, which was performed at intervals of ∼27 s for FRET (n = 4) and ∼20 s for GRAM-W (n = 3). Time zero refers to the steady state prior to WSC addition. The purple bar denotes the duration of WSC pipetting into the recording chamber.

Figure 2.
A multi-part diagram with graphs shows C T x B occupancy in O M D s and F L I M-F R E T efficiency in t s A-201 cells. Panel A shows a schematic illustration depicting Förster Resonance Energy Transfer (F R E T) between C T x B A F-488 (donor) and C T x B A F-647 (acceptor) occurring in large Outer Membrane Domains (O M D s) but not in small O M D s. Panels B and C: Graphs modeling C T x B occupancy (n equals k) within O M D s using Poisson statistics. Panel B shows probability curves for 0 to 4 C T x B molecules, while Panel C shows the cumulative probability for k greater than or equal to 2 C T x B per O M D as a function of mean O M D diameter (nanometer). Panels D and E: Representative phasor plots (S versus G) of membrane-localized fluorescence in t s A-201 cells. The F R E T efficiency (E) increases from 0.05 before W S C treatment to 0.09 after W S C treatment. Insets provide magnified views of the data clusters. Panel F: A time course graph (0 to 7 minutes) showing normalized fluorescence (green) and F L I M-F R E T (blue) post-W S C application. Both metrics show a sharp increase within the first two minutes, indicating rapid membrane reorganization following cholesterol enrichment. All values are approximate.

Combining the CTxB-based FRET approach and a cholesterol sensor in assessing the modulation of PM properties by cholesterol enrichment. (A) Cartoon showing the FRET between CTxB AF-488 and CTxB AF-647 under conditions of small OMDs and large OMDs. Only one fluorophore is shown for the CTxB pentamer for simplicity. (B and C) CTxB occupancy within OMDs was modeled using Poisson statistics with a nonlinear dependence on OMD diameter (B) to interpret CTxB-based FLIM-FRET responses to OMD expansion. The increased FRET with larger OMDs reflects a higher probability of multiple CTxB molecules occupying the same OMD (C). (D and E) Representative phasor plots of membrane-localized fluorescence of tsA201 cells from donor alone (CTxB AF-488 only) or with the acceptor CTxB AF-647 before (D) and after (E) the WSC treatment. The FRET efficiency was calculated using the FRET trajectory (in red). The insets show amplified views of the phasor plots. A confocal image of membrane-localized fluorescence of a tsA cell labeled with CTxB is also shown. (F) Time course of the change in normalized fluorescence intensity at the PM and the CTxB-based FLIM-FRET efficiency after 0.5 mg/ml WSC application in tsA201 cells. Data shown are mean + SEM; WSC was added to the culture medium at the start of time-lapse imaging, which was performed at intervals of ∼27 s for FRET (n = 4) and ∼20 s for GRAM-W (n = 3). Time zero refers to the steady state prior to WSC addition. The purple bar denotes the duration of WSC pipetting into the recording chamber.

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To understand the roles of cholesterol itself versus the OMDs, in combination with the OMD probes, we used a genetically encoded cholesterol sensor eGFP-GRAM-W that labels the inner leaflet accessible cholesterols (Koh et al., 2023). The GRAM-W sensor is derived from the GRAM cholesterol-binding domain of the cholesterol transport protein GRAMD1b, with a glycine mutated to tryptophan (G187W) (Koh et al., 2023; Ercan et al., 2021; Naito et al., 2019). This mutation enhances its localization to the PM. Compared with traditional cholesterol sensors, such as those derived from perfringolysin O (PFO-D4) or anthrolysin O (ALO-D4), which often bind to cytosolic cholesterol, GRAM-W offers improved PM targeting and specificity (Koh et al., 2023). This makes GRAM-W a more reliable tool for studying cholesterol dynamics at the PM.

Live-cell FLIM-FRET imaging using CTxB-conjugated FRET pairs was performed after applying CTxB AF-488 (FRET donor) and AF-647 (FRET acceptor) to label PM OMDs in tsA-201 cells—a HEK293-derived cell line commonly used for electrophysiological studies of ion channels. Fluorescence lifetimes were analyzed using phasor plots (Handlin et al., 2024), which map each pixel’s lifetime and allow identification of FRET-induced shifts, reflecting an increase in the OMD size (Fig. 2, D and E). FLIM-FRET efficiency was calculated along a phasor plot-based FRET trajectory, with phasor points farther from the donor-alone position indicating higher FRET (Handlin et al., 2024). We found that the FLIM-FRET increased rapidly following the addition of WSC (0.5 mg/ml cholesterol pre-complexed with mβCD) to the culture medium, reaching saturation within 2 min (Fig. 2, E and F). Although changes in GM1 density could, in principle, alter the probability of CTxB binding and thereby reduce FRET (Fig. S1), the net effect observed was an increase in FRET efficiency. These results suggest that any changes in GM1 density associated with OMD expansion are minimal and do not substantially contribute to the WSC-induced FRET changes. Instead, OMD size plays the dominant role in driving the FRET increase.

In parallel, membrane-localized fluorescence intensity of eGFP-GRAM-W also increased after WSC treatment, but with significantly slower and double-exponential kinetics (Fig. 2 F and Fig. S2). This difference suggests that OMD expansion occurs rapidly and reaches a plateau soon after cholesterol enrichment, whereas the accumulation of free cholesterol in the inner leaflet proceeds more gradually, reflecting a biphasic effect of cholesterol enrichment on PM properties and distinguishing OMD changes from those of free cholesterol. This distinction is likely due to the limited availability of other lipid species, such as sphingolipids, for establishing OMDs, and it enables us to use this approach to functionally isolate the contributions of OMDs and free cholesterol to the PM in cultured cells.

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Figure S2
Confocal imaging showing the effects of cholesterol extraction or supplementation on membrane localization of GRAM-W-eGFP. (A) tsA cells overexpressing GRAM-W-eGFP, before and after 5 min of treatment with 2.5 mM β-CD. Line scans of an area such as that indicated by white dashed lines are plotted to highlight the increase in cytosolic GFP fluorescence after β-CD. (B) tsA cells overexpressing GRAM-W-eGFP, before and after 15 min of treatment with 0.5 mg/ml WSC, highlighting the increase in membrane-localized GFP fluorescence after cholesterol supplementation. Refer to the image caption for details. Confocal imaging shows the effects of cholesterol extraction or supplementation on membrane localization of G R A M-W-e G F P. In panel A, t s A cells overexpressing G R A M-W-e G F P are shown before and after 5 minutes of treatment with 2.5 millimeters beta-cyclodextrin (beta-C D). Line scans of an area indicated by white dashed lines highlight the increase in cytosolic green fluorescent protein (G F P) fluorescence after beta-C D treatment. In panel B, t s A cells overexpressing G R A M-W-e G F P are shown before and after 15 minutes of treatment with 0.5 milligrams per milliliter water-soluble cholesterol (W S C), highlighting the increase in membrane-localized G F P fluorescence after cholesterol supplementation. The horizontal axis of the graphs represents distance in micrometers, and the vertical axis represents fluorescence in arbitrary units. All values are approximate.

Confocal imaging showing the effects of cholesterol extraction or supplementation on membrane localization of GRAM-W-eGFP. (A) tsA cells overexpressing GRAM-W-eGFP, before and after 5 min of treatment with 2.5 mM β-CD. Line scans of an area such as that indicated by white dashed lines are plotted to highlight the increase in cytosolic GFP fluorescence after β-CD. (B) tsA cells overexpressing GRAM-W-eGFP, before and after 15 min of treatment with 0.5 mg/ml WSC, highlighting the increase in membrane-localized GFP fluorescence after cholesterol supplementation.

Figure S2.
Confocal imaging shows effects of cholesterol extraction on membrane localization of G R A M-W-e G F P in t s A cells. Confocal imaging shows the effects of cholesterol extraction or supplementation on membrane localization of G R A M-W-e G F P. In panel A, t s A cells overexpressing G R A M-W-e G F P are shown before and after 5 minutes of treatment with 2.5 millimeters beta-cyclodextrin (beta-C D). Line scans of an area indicated by white dashed lines highlight the increase in cytosolic green fluorescent protein (G F P) fluorescence after beta-C D treatment. In panel B, t s A cells overexpressing G R A M-W-e G F P are shown before and after 15 minutes of treatment with 0.5 milligrams per milliliter water-soluble cholesterol (W S C), highlighting the increase in membrane-localized G F P fluorescence after cholesterol supplementation. The horizontal axis of the graphs represents distance in micrometers, and the vertical axis represents fluorescence in arbitrary units. All values are approximate.

Confocal imaging showing the effects of cholesterol extraction or supplementation on membrane localization of GRAM-W-eGFP. (A) tsA cells overexpressing GRAM-W-eGFP, before and after 5 min of treatment with 2.5 mM β-CD. Line scans of an area such as that indicated by white dashed lines are plotted to highlight the increase in cytosolic GFP fluorescence after β-CD. (B) tsA cells overexpressing GRAM-W-eGFP, before and after 15 min of treatment with 0.5 mg/ml WSC, highlighting the increase in membrane-localized GFP fluorescence after cholesterol supplementation.

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To further demonstrate the two phases of PM modulation following cholesterol enrichment, an mCherry-tagged OlyA was used to report levels of outer leaflet cholesterol/sphingomyelin (SM) complexes (Endapally et al., 2019; Skocaj et al., 2014) (Fig. 3 A). Cholesterols sequestered by SM cannot be probed by conventional cholesterol sensors like PFO-D4 (Das et al., 2014). In addition, we employed a previously established FRET-based OMD probe to report OMD size, using a peptide (Lck 10 or L10)-based FRET pair (Sachl et al., 2015; Myeong et al., 2021; Handlin and Dai, 2023; Dai, 2022) and the CTxB-conjugated probes as described above (Handlin et al., 2024). Applying all four types of probes individually and overlaying their time courses following the same WSC treatment in tsA-201 cells consolidated the two-step effect of cholesterol enrichment on PM properties (Fig. 3 B). Similar to Fig. 2 F, CTxB- and L10-based FRET changes saturated within the first 5 min, whereas the fluorescence intensity of OlyA and GRAM-W continued to increase. Here, imaging was performed at 5-min intervals to focus on distinguishing changes in OMD-associated versus free cholesterol, rather than tracking the precise kinetics of the FRET change caused by in vitro membrane enrichment with a high cholesterol concentration. This approach particularly minimized photobleaching, which could otherwise obscure intensity-based fluorescence measurements. Consistently, we observed an initial increase in FRET between CTxB-AF-488/CTxB-AF-647 and a decrease in FRET between L10-CFP/L10-YFP. For the AF-488/AF-647 pair, the FRET efficiency increased from 9 to 11.8% (P = 0.02), whereas for the L10 FRET pair, the FRET efficiency decreased from 8.3 to 4.5% (P = 0.039) (Fig. 3 B). As previously demonstrated, these opposing FRET changes both indicate OMD expansion (Handlin et al., 2024) (Fig. 3 B). The FRET changes plateaued within 5 min, as we have shown using the higher frequency imaging in Fig. 2 F. In contrast, GRAM-W and OlyA fluorescence at the PM continued to increase beyond the first 2–5 min, extending throughout the 15–20-min timeframe (Koh et al., 2023). These results suggest that the initial phase of cholesterol enrichment involves OMD expansion along with increases in inner leaflet cholesterol and outer leaflet cholesterol/SM complexes. The second phase primarily reflects a continued accumulation of cholesterol, either in free form or bound to SM, in tsA-201 cells. Since the second phase does not involve OMD expansion, any functional effects likely arise from the free cholesterols. The limiting factor for the OMD expansion could be the amount of SM available. Collectively, this methodology provides a potential strategy to temporally distinguish the effects of OMD expansion from cholesterol itself on ion channel gating in DRG neurons.

Figure 3.
Multiple phasor plots, showing fluorescence intensity and F R E T efficiency in cells after cholesterol supplementation. The image contains phasor plots illustrating the changes in normalized fluorescence intensity and F R E T efficiency at the plasma membrane (P M) post cholesterol supplementation using W S C in t s A 201 cells and rat D R G neurons. The plots are divided into two main sections: (A) and (B). Section (A) shows data for naive D R G neurons at different time points before and after W S C application, with F R E T efficiency values of 0.17, 0.18, 0.18, and 0.18 at respective times. Section (B) shows data for S N I D R G neurons with F R E T efficiency values of 0.05, 0.13, 0.14, and 0.16. Each plot includes axes labeled G and S, with time points marked in nanoseconds. The data points are color-coded and clustered around specific regions, indicating changes in P M properties over time. The plots also include regression lines and reference points for better visualization of trends. All values are approximated.

Distinct modes of PM modulation by cholesterol enrichment. (A) Strategies implemented to report the PM properties after WSC-mediated cholesterol supplementation. An mCherry-labeled OlyA was used to recognize outer leaflet cholesterol/SM complexes, whereas GRAM-W-eGFP was used to label free cholesterol levels in the inner leaflet of the PM. The OMD size was probed using FRET-based reporters, either CTxB-conjugated or peptide (L10)-based FRET pairs. (B) Time course of the change in normalized fluorescence intensity and the FLIM-FRET efficiency at the PM after 0.5 mg/ml WSC application in tsA201 cells, using four different probes as illustrated in panel A. Data were collected every 5 min to minimize photobleaching and shown as mean ± SEM, n = 4–10 cells. (C and D) Summary time course of the change in normalized GRAM-W fluorescence intensity at the PM and the FLIM efficiency of CTxB-AF488/AF647 FRET after 0.5 mg/ml WSC application for naïve rat DRG neurons (C) and for nociceptor rat DRG neurons of the SNI model (D). Data shown are mean ± SEM, n = 4–6 cells. The CTxB-based FRET level showed a significant increase after WSC for SNI DRG neurons (*P = 0.02, 0.02, and 0.03 at 5, 10, and 15 min time points using a two-sided paired t test) but no change for naïve neurons (n.s., no statistical significance).

Figure 3.
Multiple phasor plots, showing fluorescence intensity and F R E T efficiency in cells after cholesterol supplementation. The image contains phasor plots illustrating the changes in normalized fluorescence intensity and F R E T efficiency at the plasma membrane (P M) post cholesterol supplementation using W S C in t s A 201 cells and rat D R G neurons. The plots are divided into two main sections: (A) and (B). Section (A) shows data for naive D R G neurons at different time points before and after W S C application, with F R E T efficiency values of 0.17, 0.18, 0.18, and 0.18 at respective times. Section (B) shows data for S N I D R G neurons with F R E T efficiency values of 0.05, 0.13, 0.14, and 0.16. Each plot includes axes labeled G and S, with time points marked in nanoseconds. The data points are color-coded and clustered around specific regions, indicating changes in P M properties over time. The plots also include regression lines and reference points for better visualization of trends. All values are approximated.

Distinct modes of PM modulation by cholesterol enrichment. (A) Strategies implemented to report the PM properties after WSC-mediated cholesterol supplementation. An mCherry-labeled OlyA was used to recognize outer leaflet cholesterol/SM complexes, whereas GRAM-W-eGFP was used to label free cholesterol levels in the inner leaflet of the PM. The OMD size was probed using FRET-based reporters, either CTxB-conjugated or peptide (L10)-based FRET pairs. (B) Time course of the change in normalized fluorescence intensity and the FLIM-FRET efficiency at the PM after 0.5 mg/ml WSC application in tsA201 cells, using four different probes as illustrated in panel A. Data were collected every 5 min to minimize photobleaching and shown as mean ± SEM, n = 4–10 cells. (C and D) Summary time course of the change in normalized GRAM-W fluorescence intensity at the PM and the FLIM efficiency of CTxB-AF488/AF647 FRET after 0.5 mg/ml WSC application for naïve rat DRG neurons (C) and for nociceptor rat DRG neurons of the SNI model (D). Data shown are mean ± SEM, n = 4–6 cells. The CTxB-based FRET level showed a significant increase after WSC for SNI DRG neurons (*P = 0.02, 0.02, and 0.03 at 5, 10, and 15 min time points using a two-sided paired t test) but no change for naïve neurons (n.s., no statistical significance).

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We observed distinct effects of WSC supplementation on OMD size and free cholesterol levels in small-diameter nociceptor DRG neurons, depending on their physiological state. Specifically, neurons from naïve rats showed different patterns compared with neurons from rats subjected to the SNI model of neuropathic pain (Decosterd and Woolf, 2000), suggesting that nerve injury alters how cholesterol modulates membrane organization in these hyperexcitable sensory neurons. As we previously demonstrated, nociceptor DRG neurons in the SNI model exhibit significantly smaller OMDs compared with the large OMDs observed in naïve nociceptor DRG neurons (Handlin et al., 2024). In both conditions, membrane-localized fluorescence intensity of the GRAM-W sensor showed a sustained increase over the 15-min WSC treatment (Fig. 3, C and D). However, the CTxB-based FRET reporter of OMD size exhibited minimal changes in FLIM-FRET efficiency for naïve DRG neurons, whereas SNI DRG neurons showed a substantial increase within 5 min (Fig. 2, C and D; and Fig. S3). The initial FLIM-FRET efficiency measured using CTxB-based probes was significantly lower in SNI DRG neurons (6.3%) than in naïve neurons (15.3%) and slightly lower than in tsA-201 cells (9%). Notably, following WSC supplementation, the OMD changes detected by CTxB-based FRET in SNI DRG neurons closely mirrored those observed in tsA-201 cells, reaching an increase to 12.8%.

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Figure S3
CTxB-based FLIM-FRET responses to cholesterol enrichment in naïve and SNI nociceptor DRG neurons. (A and B) Representative phasor plots showing membrane-localized fluorescence in naïve (A) and SNI (B) nociceptor DRG neurons labeled with CTxB AF-488 and CTxB AF-647, recorded before and at 5, 10, and 15 min after WSC treatment. Refer to the image caption for details. Representative phasor plots A and B track data points recorded before and at 5, 10, and 15 minutes after water-soluble cholesterol (W S C) treatment. The horizontal axis represents the G factor, and the vertical axis represents the S factor, with each subplot displaying the fluorescence response through color-coded and differently shaped data points clustered along a universal semicircle. Section A focuses on Naive D R G neurons, showing a baseline E (F R E T) of 0.17 that remains stable at 0.18 throughout the treatment, while Section B shows S N I D R G (injured) neurons starting at a lower baseline of 0.05 and rising significantly to 0.13, 0.14, and 0.16 over the 15-minute interval. These annotated E (F R E T) values highlight changes in energy transfer over time, demonstrating that while naive neurons maintain stable molecular clustering, cholesterol enrichment restores the impaired membrane domain density in injured neurons. All values are approximated.

CTxB-based FLIM-FRET responses to cholesterol enrichment in naïve and SNI nociceptor DRG neurons. (A and B) Representative phasor plots showing membrane-localized fluorescence in naïve (A) and SNI (B) nociceptor DRG neurons labeled with CTxB AF-488 and CTxB AF-647, recorded before and at 5, 10, and 15 min after WSC treatment.

Figure S3.
Phasor plots showing membrane-localized fluorescence in naive and S N I nociceptor D R G neurons labeled with C T x B A F-488 and C T x B A F-647. Representative phasor plots A and B track data points recorded before and at 5, 10, and 15 minutes after water-soluble cholesterol (W S C) treatment. The horizontal axis represents the G factor, and the vertical axis represents the S factor, with each subplot displaying the fluorescence response through color-coded and differently shaped data points clustered along a universal semicircle. Section A focuses on Naive D R G neurons, showing a baseline E (F R E T) of 0.17 that remains stable at 0.18 throughout the treatment, while Section B shows S N I D R G (injured) neurons starting at a lower baseline of 0.05 and rising significantly to 0.13, 0.14, and 0.16 over the 15-minute interval. These annotated E (F R E T) values highlight changes in energy transfer over time, demonstrating that while naive neurons maintain stable molecular clustering, cholesterol enrichment restores the impaired membrane domain density in injured neurons. All values are approximated.

CTxB-based FLIM-FRET responses to cholesterol enrichment in naïve and SNI nociceptor DRG neurons. (A and B) Representative phasor plots showing membrane-localized fluorescence in naïve (A) and SNI (B) nociceptor DRG neurons labeled with CTxB AF-488 and CTxB AF-647, recorded before and at 5, 10, and 15 min after WSC treatment.

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Homo-FRET–based fluorescence anisotropy measurement of membrane cholesterol levels

We performed homo-FRET–based live-cell anisotropy for imaging membrane-localized GRAM-W fluorescence (Fig. 4) (Bader et al., 2011). Fluorescence anisotropy measures the polarization of emitted light by comparing perpendicular and parallel emission components, enabling the quantification of homo-FRET by detecting depolarization resulting from energy transfer between nearby fluorophores (Fig. 4, A and B). A decrease in anisotropy reflects an increase in homo-FRET efficiency, indicating closer proximity or clustering between the probes (Bader et al., 2011). Homo-FRET–based anisotropy is sensitive to the organization and density of fluorophores while being less influenced by factors such as photobleaching of fluorophores (Joshi et al., 2024). This sensitivity enables a more accurate quantification of inner leaflet cholesterol density, which would be challenging to resolve using intensity-based fluorescence alone. The lifetime of GRAM-W remained unchanged during WSC supplementation, indicating that the decrease in anisotropy was not caused by hetero-FRET or collisional quenching but is consistent with a homo-FRET mechanism (Fig. S4). Following WSC supplementation, we observed a continued decrease in GRAM-W fluorescence anisotropy, accompanied by an increase in homo-FRET efficiency (Fig. 4, C–E). Notably, the initial homo-FRET efficiency was highest in naïve DRG neurons but lower in tsA-201 cells and DRG neurons of the SNI model. These results suggest that free, accessible cholesterol in the inner leaflet is also reduced after nerve injury, adding to the previously reported decrease in OMD size observed in neuropathic pain (Handlin et al., 2024).

Figure 4.
Three phasor plots showing fluorescence anisotropy before and after W S C treatment in G R A M-W-e G F P. Part A displays a phasor plot where data points cluster on a universal semicircle with a phase lifetime (tau(phi)) of 2.57 ns before W S C treatment, including an inset of a circular fluorescent cell membrane. Part B shows the same phasor plot and inset five minutes after the application of water-soluble cholesterol (W S C), with the phase lifetime remaining constant at 2.57 n s. Part C presents a time-course graph tracking the lifetime of G R A M-W-e G F P in nanoseconds over 15 minutes, with green square data points remaining stable near 2.6 n s. Statistical significance is noted as n.s. (not significant) for all time points, confirming that cholesterol enrichment does not statistically alter the fluorescence lifetime of the G R A M-W-e G F P probe. All values are approximated.

Fluorescence anisotropy reports homo-FRET between cholesterol sensors. (A) Representative confocal images showing membrane-localized eGFP-GRAW–W fluorescence emission in a naïve DRG neuron, acquired in perpendicular and parallel directions. (B) Corresponding anisotropy-based heatmaps derived from the images in A, shown for both pre- and post-WSC conditions, illustrating a reduction in anisotropy after WSC treatment. (C–E) Summary time course of the changes in GRAM-W fluorescence anisotropy and estimated homo-FRET efficiency for tsA cells (C, n = 10, P = 5e−4, 5e−3, and 2e−3 at 5, 10, and 15 min time points), naïve DRG neurons (D, n = 6, P = 0.03 for all time points), and DRG neurons of SNI model animals (E, n = 5, P = 3e−3, 0.01, and 0.03 at 5, 10, and 15 min time points). Since the homo-FRET data are derived from the measured anisotropy, the statistical significance is only shown for the anisotropy and remains the same for the homo-FRET. (F–H) Summary time course of changes in the OlyA fluorescence anisotropy and estimated homo-FRET efficiency for tsA cells (F, n = 4, P = 0.11, 0.08, and 0.04 at 5, 10, and 15 min time points), naïve DRG neurons (G, n = 6, P = 0.12, 0.2, and 0.12 at 5, 10, and 15 min time points), and DRG neurons of SNI model animals (H, n = 4, P = 0.08, 0.032, and 0.049 at 5, 10, and 15 min time points). Data shown are mean ± SEM, *P < 0.05, **P < 0.01 using a one-sided paired t test, justified by the directional hypothesis that increased sensor crowding leads to higher homo-FRET.

Figure 4.
Three phasor plots showing fluorescence anisotropy before and after W S C treatment in G R A M-W-e G F P. Part A displays a phasor plot where data points cluster on a universal semicircle with a phase lifetime (tau(phi)) of 2.57 ns before W S C treatment, including an inset of a circular fluorescent cell membrane. Part B shows the same phasor plot and inset five minutes after the application of water-soluble cholesterol (W S C), with the phase lifetime remaining constant at 2.57 n s. Part C presents a time-course graph tracking the lifetime of G R A M-W-e G F P in nanoseconds over 15 minutes, with green square data points remaining stable near 2.6 n s. Statistical significance is noted as n.s. (not significant) for all time points, confirming that cholesterol enrichment does not statistically alter the fluorescence lifetime of the G R A M-W-e G F P probe. All values are approximated.

Fluorescence anisotropy reports homo-FRET between cholesterol sensors. (A) Representative confocal images showing membrane-localized eGFP-GRAW–W fluorescence emission in a naïve DRG neuron, acquired in perpendicular and parallel directions. (B) Corresponding anisotropy-based heatmaps derived from the images in A, shown for both pre- and post-WSC conditions, illustrating a reduction in anisotropy after WSC treatment. (C–E) Summary time course of the changes in GRAM-W fluorescence anisotropy and estimated homo-FRET efficiency for tsA cells (C, n = 10, P = 5e−4, 5e−3, and 2e−3 at 5, 10, and 15 min time points), naïve DRG neurons (D, n = 6, P = 0.03 for all time points), and DRG neurons of SNI model animals (E, n = 5, P = 3e−3, 0.01, and 0.03 at 5, 10, and 15 min time points). Since the homo-FRET data are derived from the measured anisotropy, the statistical significance is only shown for the anisotropy and remains the same for the homo-FRET. (F–H) Summary time course of changes in the OlyA fluorescence anisotropy and estimated homo-FRET efficiency for tsA cells (F, n = 4, P = 0.11, 0.08, and 0.04 at 5, 10, and 15 min time points), naïve DRG neurons (G, n = 6, P = 0.12, 0.2, and 0.12 at 5, 10, and 15 min time points), and DRG neurons of SNI model animals (H, n = 4, P = 0.08, 0.032, and 0.049 at 5, 10, and 15 min time points). Data shown are mean ± SEM, *P < 0.05, **P < 0.01 using a one-sided paired t test, justified by the directional hypothesis that increased sensor crowding leads to higher homo-FRET.

Close modal
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Figure S4
WSC treatment does not change the fluorescence lifetime of eGFP-GRAM-W. (A and B) Phasor analysis of eGFP-GRAM-W at the PM of tsA cells before and 5 min after WSC treatment. Plots depict fluorescence distribution and the corresponding apparent phase lifetime (τφ). (C) Time course of the mean phase lifetime (τφ) shows no change over 15 min of WSC treatment (mean ± SEM, n = 5 cells; n.s., not significant using a paired t test). During this period, eGFP-GRAM-W exhibited a decrease in fluorescence anisotropy and an increase in intensity, consistent with sensor clustering and increased local density. In contrast, restriction of GFP mobility due to aggregation would be expected to increase anisotropy. Moreover, the stability of the fluorescence lifetime under these conditions rules out a change in rotational mobility as the cause of the anisotropy decrease. Instead, these data are indicative of fluorescence depolarization via an increase in homo-FRET efficiency. Refer to the image caption for details. Part A displays a phasor plot where data points cluster on a universal semicircle with a phase lifetime (tau(phi)) of 2.57 ns before W S C treatment, including an inset of a circular fluorescent cell membrane. Part B shows the same phasor plot and inset five minutes after the application of water-soluble cholesterol (W S C), with the phase lifetime remaining constant at 2.57 n s. Part C presents a time-course graph tracking the lifetime of G R A M-W-e G F P in nanoseconds over 15 minutes, with green square data points remaining stable near 2.6 n s. Statistical significance is noted as n.s. (not significant) for all time points, confirming that cholesterol enrichment does not statistically alter the fluorescence lifetime of the G R A M-W-e G F P probe. All values are approximated.

WSC treatment does not change the fluorescence lifetime of eGFP-GRAM-W. (A and B) Phasor analysis of eGFP-GRAM-W at the PM of tsA cells before and 5 min after WSC treatment. Plots depict fluorescence distribution and the corresponding apparent phase lifetime (τφ). (C) Time course of the mean phase lifetime (τφ) shows no change over 15 min of WSC treatment (mean ± SEM, n = 5 cells; n.s., not significant using a paired t test). During this period, eGFP-GRAM-W exhibited a decrease in fluorescence anisotropy and an increase in intensity, consistent with sensor clustering and increased local density. In contrast, restriction of GFP mobility due to aggregation would be expected to increase anisotropy. Moreover, the stability of the fluorescence lifetime under these conditions rules out a change in rotational mobility as the cause of the anisotropy decrease. Instead, these data are indicative of fluorescence depolarization via an increase in homo-FRET efficiency.

Figure S4.
Phasor plots illustrate the effect of cholesterol enrichment on the fluorescence lifetime of G R A M-W-e G F P. Part A displays a phasor plot where data points cluster on a universal semicircle with a phase lifetime (tau(phi)) of 2.57 ns before W S C treatment, including an inset of a circular fluorescent cell membrane. Part B shows the same phasor plot and inset five minutes after the application of water-soluble cholesterol (W S C), with the phase lifetime remaining constant at 2.57 n s. Part C presents a time-course graph tracking the lifetime of G R A M-W-e G F P in nanoseconds over 15 minutes, with green square data points remaining stable near 2.6 n s. Statistical significance is noted as n.s. (not significant) for all time points, confirming that cholesterol enrichment does not statistically alter the fluorescence lifetime of the G R A M-W-e G F P probe. All values are approximated.

WSC treatment does not change the fluorescence lifetime of eGFP-GRAM-W. (A and B) Phasor analysis of eGFP-GRAM-W at the PM of tsA cells before and 5 min after WSC treatment. Plots depict fluorescence distribution and the corresponding apparent phase lifetime (τφ). (C) Time course of the mean phase lifetime (τφ) shows no change over 15 min of WSC treatment (mean ± SEM, n = 5 cells; n.s., not significant using a paired t test). During this period, eGFP-GRAM-W exhibited a decrease in fluorescence anisotropy and an increase in intensity, consistent with sensor clustering and increased local density. In contrast, restriction of GFP mobility due to aggregation would be expected to increase anisotropy. Moreover, the stability of the fluorescence lifetime under these conditions rules out a change in rotational mobility as the cause of the anisotropy decrease. Instead, these data are indicative of fluorescence depolarization via an increase in homo-FRET efficiency.

Close modal

We also performed anisotropy experiments using OlyA-mCherry and observed distinct differences in homo-FRET responses to WSC treatment across tsA-201 cells, naïve DRG neurons, and SNI DRG neurons (Fig. 4, F–H). In tsA cells, anisotropy and homo-FRET revealed small but significant changes, aligning with the modest increase in outer leaflet cholesterol/SM complexes as concluded from the intensity-based measurements. In naïve DRG neurons, anisotropy and homo-FRET values remained unchanged after WSC treatment, in contrast to the noticeable decrease in anisotropy and corresponding increase in homo-FRET observed in SNI DRG neurons. Notably, baseline homo-FRET values were highest in naïve DRG neurons and reduced in SNI DRG neurons, consistent with a decrease in OMD size following nerve injury. Given that OlyA binds to cholesterol/SM complexes enriched in OMDs, the high baseline homo-FRET and lack of response to cholesterol supplementation in naïve DRG neurons suggest that these cells already contain high or saturated levels of cholesterol/SM complexes that cannot be further increased by adding free cholesterol. This again implies that the availability of SM, rather than cholesterol, may be the limiting factor for the OMD expansion in naïve nociceptor DRG neurons.

Inhibitory effects of cholesterol on HCN channel gating in nociceptor DRG neurons

Previously, we modulated cholesterol levels in DRG neurons for electrophysiological measurements using mβCD for extraction or WSC for supplementation, achieved by preloaded mβCD–cholesterol complexes (Handlin et al., 2024; Mahammad and Parmryd, 2015; Christian et al., 1997). These treatments were brief (30 s to 1 min) and applied prior to whole-cell patch-clamp recordings on separate control and treated cells. Here, we applied these reagents directly to the same patch during whole-cell recordings and compared hyperpolarization-activated HCN currents in nociceptor DRG neurons before and after a more prolonged treatment (Fig. 5). We found that 0.5 mg/ml WSC supplementation significantly inhibited HCN current, reducing the amplitude of currents elicited by a maximal hyperpolarizing voltage, suggesting a decrease in channel open probability (Fig. 5, A and B), and shifting the half-maximal activation voltage leftward for the G-V relationship (ΔV1/2 = 8.4 mV after 10 min of WSC treatment) (Fig. 5, D and E). These effects on the G-V relationship and current amplitude persisted in the presence of additional cAMP at a supersaturating concentration of 0.5 mM in the pipette solution, with a ΔV1/2 of ∼ 6 mV and a ∼25% reduction in current amplitude following 10 min of WSC treatment. The use of a supersaturating 0.5 mM concentration of cAMP (well above the ∼1 μM EC50 for HCN channels) ensures rapid diffusion into the cytosol and a saturating effect on HCN channel activity (Kusch et al., 2010). In contrast, cholesterol extraction (5 mM mβCD) produced nearly opposite effects, increasing current amplitude (Fig. 5 C), though it had minimal impact on V1/2, with or without the additional 0.5 mM cAMP (Handlin et al., 2024). Instead, OMD disruption by cholesterol extraction increased the slope factor (Vs) of the HCN current G-V relationship in naïve nociceptor neurons (Handlin et al., 2024), whereas WSC treatment caused only a negligible change in Vs in naïve neurons, both with or without 0.5 mM cAMP (Fig. 5 F). Since the Vs reflects voltage sensor movement and is influenced by the OMD localization of HCN channels, it could serve as a reporter of OMD dimensions of DRG neurons (Handlin et al., 2024; Handlin and Dai, 2023). We propose that these effects arise from the naturally high cholesterol content and large OMDs in naïve DRG neurons. In this context, further increases in cholesterol levels may primarily elevate free accessible cholesterol, leading to a shift in V1/2 and a decrease in open probability without affecting the Vs. Our findings lead to a model in which cholesterol modulates HCN channels through a dual mechanism: by altering OMD size and potentially interacting directly with the channels at the inner leaflet of the membrane. Moreover, this substantial modulation of HCN current amplitude (and open probability) is physiologically significant and was validated through the same patch-clamp experiments. Compared with changes in the slope factor, alterations in current amplitude may have a greater impact on action potential firing and may contribute more directly to neuronal excitability.

Figure 5.
A multi-part image showing the effects of manipulating cholesterol on H C N channel gating in nociceptor D R G neurons. The image consists of two panels labeled A and B. Panel A shows current traces of H C N channels before and after treatment with 0.5 millimolar cyclic adenosine monophosphate (c A M P) and methyl-beta-cyclodextrin (m beta C D). The traces are color-coded: black for before treatment and blue for after treatment. The time constant (Tau 1) decreases from 105 milliseconds to 57 milliseconds after m beta C D treatment. Panel B presents a graph comparing the activation time constant (Tau activation) of H C N channels at different voltages before and after treatment. The horizontal axis represents voltage in millivolts (m V), ranging from minus100 to minus 130 m V, and the vertical axis represents the activation time constant in milliseconds (m s). The graph shows two data series: one in red for before treatment and one in blue for after treatment, indicating a decrease in activation time constant after treatment. All data are approximate.

Effects of manipulating cholesterol on the equilibrium and kinetic properties of HCN channel gating in nociceptor DRG neurons. (A) Application of WSC decreased the current amplitude of HCN currents in the same-patch experiment. Double-exponential fittings (in red) of the current traces at −140 mV are highlighted. (B) Amplitude of HCN currents elicited by a saturating hyperpolarizing voltage was used for the graph comparing the before and after treatments. Data shown are mean + SEM, n = 10 patches, *P = 0.01, two-sided paired t test. (C) Effects of the acute mβCD treatment on current amplitude of HCN currents, recorded from the same patch, showing opposite directional changes as in panel B. Data shown are mean ± SEM, n = 5 patches, **P = 0.005, two-sided paired t test. (D) Representative G-V relationship of HCN channel activation recorded from same-patch experiments before and after 5 min of 0.5 mg/ml WSC application, in the presence or absence of 0.5 mM additional cAMP. (E and F) Summary of the parameters derived from Boltzmann fitting of the G-V relationship of HCN channel activation before and after the WSC treatment: V1/2 in panel E (P = 2e−5 without cAMP, P = 0.01 with cAMP) and slope factors (Vs) in panel F; n.s., no statistical significance. n = 7 cells without added cAMP and n = 5 with added 0.5 mM cAMP, two-sided paired t test. (G and I) HCN channel currents elicited by different hyperpolarizing voltages were shown with double-exponential fits to highlight the acceleration of channel activation by mβCD (G) and the slowdown of channel activation by WSC (I). (H and J) Summary graph illustrating the effects of mβCD (H, n = 5, P = 3e−3, 6e−5, 4e−5, 1e−3, and 1e−4 for 100 mV, −110 mV, −120 mV, −130 mV, and −140 mV) and WSC (J, n = 8, P = 0.02, 0.02, 0.016, 0.18, and 1e−3 for 100 mV, −110 mV, −120 mV, −130 mV, and −140 mV) on the τ1 of channel activation at different voltages. Data shown are mean ± SEM, *P < 0.05, **P < 0.01, two-sided paired t test.

Figure 5.
A multi-part image showing the effects of manipulating cholesterol on H C N channel gating in nociceptor D R G neurons. The image consists of two panels labeled A and B. Panel A shows current traces of H C N channels before and after treatment with 0.5 millimolar cyclic adenosine monophosphate (c A M P) and methyl-beta-cyclodextrin (m beta C D). The traces are color-coded: black for before treatment and blue for after treatment. The time constant (Tau 1) decreases from 105 milliseconds to 57 milliseconds after m beta C D treatment. Panel B presents a graph comparing the activation time constant (Tau activation) of H C N channels at different voltages before and after treatment. The horizontal axis represents voltage in millivolts (m V), ranging from minus100 to minus 130 m V, and the vertical axis represents the activation time constant in milliseconds (m s). The graph shows two data series: one in red for before treatment and one in blue for after treatment, indicating a decrease in activation time constant after treatment. All data are approximate.

Effects of manipulating cholesterol on the equilibrium and kinetic properties of HCN channel gating in nociceptor DRG neurons. (A) Application of WSC decreased the current amplitude of HCN currents in the same-patch experiment. Double-exponential fittings (in red) of the current traces at −140 mV are highlighted. (B) Amplitude of HCN currents elicited by a saturating hyperpolarizing voltage was used for the graph comparing the before and after treatments. Data shown are mean + SEM, n = 10 patches, *P = 0.01, two-sided paired t test. (C) Effects of the acute mβCD treatment on current amplitude of HCN currents, recorded from the same patch, showing opposite directional changes as in panel B. Data shown are mean ± SEM, n = 5 patches, **P = 0.005, two-sided paired t test. (D) Representative G-V relationship of HCN channel activation recorded from same-patch experiments before and after 5 min of 0.5 mg/ml WSC application, in the presence or absence of 0.5 mM additional cAMP. (E and F) Summary of the parameters derived from Boltzmann fitting of the G-V relationship of HCN channel activation before and after the WSC treatment: V1/2 in panel E (P = 2e−5 without cAMP, P = 0.01 with cAMP) and slope factors (Vs) in panel F; n.s., no statistical significance. n = 7 cells without added cAMP and n = 5 with added 0.5 mM cAMP, two-sided paired t test. (G and I) HCN channel currents elicited by different hyperpolarizing voltages were shown with double-exponential fits to highlight the acceleration of channel activation by mβCD (G) and the slowdown of channel activation by WSC (I). (H and J) Summary graph illustrating the effects of mβCD (H, n = 5, P = 3e−3, 6e−5, 4e−5, 1e−3, and 1e−4 for 100 mV, −110 mV, −120 mV, −130 mV, and −140 mV) and WSC (J, n = 8, P = 0.02, 0.02, 0.016, 0.18, and 1e−3 for 100 mV, −110 mV, −120 mV, −130 mV, and −140 mV) on the τ1 of channel activation at different voltages. Data shown are mean ± SEM, *P < 0.05, **P < 0.01, two-sided paired t test.

Close modal

Beyond the equilibrium parameters of HCN gating, we found that the activation kinetics of HCN channels in nociceptor DRG neurons were modulated by cholesterol in the same patch-clamp experiments. The most prominent effect was a significant acceleration of channel activation following treatment with 5 mM mβCD, which shortened the primary time constant (τ1) of channel activation from an average of 80 ± 4.3 ms to 52 ± 2.9 ms, at the saturating hyperpolarizing voltage of −140 mV (Fig. 5 G). This effect was also present at other hyperpolarizing voltages (Fig. 5 H). In contrast, cholesterol enrichment with 0.5 mg/ml WSC for 5 min slowed channel activation, increasing τ1 from an average of 72 ± 9.6 ms to 88 ± 8.7 ms at −140 mV, although this effect was less pronounced than that of mβCD (Fig. 5, I and J). The mβCD-induced acceleration of activation persisted in the presence of 0.5 mM cAMP in the pipette solution (Fig. S5). However, under the same cAMP condition, the effect of WSC treatment on τ1 was no longer significant (τ1 from an average of 59 ± 4.5 ms to 65.3 ± 13.5 ms, n = 4), likely because the cAMP potentiation of channel activation is predominant, and there is likely a convergent effect between cAMP and cholesterol. Together, these findings suggest that HCN channel activation is highly sensitive to cholesterol levels. In addition, our recent findings on cholesterol-mediated modulation of current amplitude and activation kinetics (Handlin et al., 2024) were further substantiated in this study, offering new insights into the mechanisms by which HCN channels influence neuronal excitability.

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Figure S5
Increase in current amplitude and acceleration of the HCN channel activation by cholesterol depletion in the presence of a saturating concentration of cAMP. (A) Representative whole-cell HCN current traces recorded from naïve nociceptor DRG neurons in the presence of the added 0.5 mM cAMP in the patch-clamp pipette solution. Current amplitude increased, and the kinetics of channel activation were faster. (B) Measured primary time constant of channel activation at different hyperpolarizing voltages from the same patch in the panel A. Refer to the image caption for details. Part A shows representative whole-cell H C N current traces recorded from a D R G neuron in the presence of 0.5 millimolar c A M P. The black traces (left) show the Before state with a tau 1 equals105 milliseconds, while the blue traces (right) show the state After m beta C D with a faster tau 1 equals 57 milliseconds. The traces indicate a visible acceleration in the rate of channel activation following cholesterol depletion. Part B presents a graph measuring the primary time constant of channel activation (tau 1) at hyperpolarizing voltages from minus 100 millivolts to minus 130 millivolts. The vertical axis represents tau 1 activation in milliseconds, ranging from 0 to 350. Two data lines are shown: red (Before) and blue (After m beta C D). The blue line sits consistently below the red line, illustrating that cholesterol depletion significantly decreases the time constant, thereby speeding up channel activation across all tested voltages. All values are approximate.

Increase in current amplitude and acceleration of the HCN channel activation by cholesterol depletion in the presence of a saturating concentration of cAMP. (A) Representative whole-cell HCN current traces recorded from naïve nociceptor DRG neurons in the presence of the added 0.5 mM cAMP in the patch-clamp pipette solution. Current amplitude increased, and the kinetics of channel activation were faster. (B) Measured primary time constant of channel activation at different hyperpolarizing voltages from the same patch in the panel A.

Figure S5.
A graph and electrophysiological traces demonstrating that cholesterol depletion accelerates the activation kinetics of H C N channels. Part A shows representative whole-cell H C N current traces recorded from a D R G neuron in the presence of 0.5 millimolar c A M P. The black traces (left) show the Before state with a tau 1 equals105 milliseconds, while the blue traces (right) show the state After m beta C D with a faster tau 1 equals 57 milliseconds. The traces indicate a visible acceleration in the rate of channel activation following cholesterol depletion. Part B presents a graph measuring the primary time constant of channel activation (tau 1) at hyperpolarizing voltages from minus 100 millivolts to minus 130 millivolts. The vertical axis represents tau 1 activation in milliseconds, ranging from 0 to 350. Two data lines are shown: red (Before) and blue (After m beta C D). The blue line sits consistently below the red line, illustrating that cholesterol depletion significantly decreases the time constant, thereby speeding up channel activation across all tested voltages. All values are approximate.

Increase in current amplitude and acceleration of the HCN channel activation by cholesterol depletion in the presence of a saturating concentration of cAMP. (A) Representative whole-cell HCN current traces recorded from naïve nociceptor DRG neurons in the presence of the added 0.5 mM cAMP in the patch-clamp pipette solution. Current amplitude increased, and the kinetics of channel activation were faster. (B) Measured primary time constant of channel activation at different hyperpolarizing voltages from the same patch in the panel A.

Close modal

Sequential modulation of HCN channel gating by cholesterol enrichment in DRG neurons

Based on our FLIM-FRET and anisotropy experiments, indicating that the effects of cholesterol enrichment can be temporally distinguished using the WSC (0.5 mg/ml) supplementation protocol, we applied this approach to examine whether cholesterol-mediated modulation of membrane excitability following HCN activation could exhibit a biphasic feature, using a protocol in which the HCN activation in small DRG neurons was assessed from the recovery in membrane potential after a hyperpolarizing current pulse. A −90 pA current injection induced pronounced membrane hyperpolarization, activating endogenous HCN channels, which then depolarized the membrane and restored the potential over a few hundred milliseconds to a steady state (Fig. 6 A). The percentage of voltage recovery at steady state primarily reflects the extent of HCN channel opening. We found that the percentage of voltage recovery decreased after the same-patch WSC treatment, reaching a maximal effect within ∼5 min with an exponential time constant of 127 s (Fig. 6 B). No decrease was observed in the control experiments without WSC treatment (Fig. 6 B). Furthermore, similar results were observed in SNI nociceptor DRG neurons (Fig. 6 C); however, compared with naïve DRG neurons, the WSC-induced reduction showed an initial delay with a slower time constant of 184 s, consistent with a sequential cholesterol-mediated modulation of PM properties, first expanding OMDs. Presumably, in SNI neurons, voltage recovery after hyperpolarization was relatively resistant to WSC treatment during the first 200 s, likely because a substantial portion of cholesterol was initially allocated to restoring OMDs. This could result in a smaller apparent increase in the free cholesterol pool (see Fig. 3, C and D) that plays a substantial role in maintaining HCN channel opening.

Figure 6.
Multiple time course graphs depict effects of cholesterol enrichment on H C N channel function in D R G neurons from naive and S N I animals. The image contains multiple graphs depicting the effects of cholesterol enrichment via water-soluble cholesterol (W S C) on H C N channel function in dorsal root ganglion (D R G) neurons from naive and S N I (spared nerve injury) animals. Graph A shows representative membrane potential recordings using hyperpolarizing current injection; the ratio of the recovered potential (V rec) relative to the total hyperpolarization (V peak) reflects the percent recovery mediated by H C N activation, which decreases after W S C treatment. Graph B illustrates the time course of decreased percent recovery in naive D R G neurons after W S C treatment (tau equals 127 s) compared to untreated controls, while graph C shows a similar time course for S N I D R G neurons (tau equals 186 s). Graph D presents the time course of changes in the half-maximal activation voltage (V 1/2) and slope factor for naive DRG neurons, showing a significant hyperpolarizing shift in V 1/2. Graphs E and F show a decrease in normalized maximal current and an increase in the time constant (tau 1) of channel activation, respectively, for naive neurons following W S C application. Graph G summarizes the significant changes in V 1/2 and slope factor for S N I D R G neurons. Finally, the two graphs labeled H show the decrease in normalized maximal current and the increase in tau 1 activation for S N I D R G neurons over 15 minutes. Data are shown as mean plus or minus s.e.m., with statistical significance indicated by asterisks and n.s. for non-significant results. All values are approximate.

Effects of cholesterol enrichment on HCN channel function in nociceptor DRG neurons from naïve and SNI animals. (A) Representative protocol and membrane potential recordings using hyperpolarizing current injection (−90 pA) to activate HCN channels, leading to membrane depolarization. The ratio of the recovered potential (Vrec.) relative to the total hyperpolarization (Vpeak) reflects the percent of recovery in membrane potential mediated by HCN activation. (B) Time course of changes in the percent recovery (Vrec./Vpeak) after WSC treatment for naïve nociceptor DRG neurons (n = 5 patches), compared with untreated controls (n = 6 patches), mean ± SEM; red trace shows a single-exponential fit. (C) Time course of the change in the percent recovery for ipsilateral SNI DRG neurons (n = 4 patches with WSC treatment, mean ± SEM) using the same protocol as in panels A and B, compared with the no-treatment controls using ipsilateral neurons (n = 4 patches). (D–F) Time course of the change in the V1/2 and slope factor (Vs) derived from the G-V relationship (D, P = 2e−5, 4e−4, and 0.02 at 5, 10, and 15 min time points for V1/2), the current amplitude (E, P = 6e−4, 2e−4, and 7e−4 at 5, 10, and 15 min time points), and τ1 of channel activation (F, P = 6e−4, 1e−3, and 0.01 at 5, 10, and 15 min time points) after 0.5 mg/ml WSC application for naïve small DRG neurons; n.s., no statistical significance for the slope factor over time after WSC treatments, n = 7–10 patches. (G–I) Summary time course of the change in the V1/2 and slope factor (Vs) (G, P = 1e−4, 9e−4, and 4e−3 at 5, 10, and 15 min time points for V1/2, P = 0.004, 9e−5, and 0.014 at 5, 10, and 15 min time points for the slope), the current amplitude (H, P = 1e−4, 4e−5, and 1e−4 at 5, 10, and 15 min time points), and τ1 of channel activation (I, P = 0.03, 0.0017, and 0.026 at 5, 10, and 15 min time points) after 0.5 mg/ml WSC application for SNI small DRG neurons. Compared with naïve neurons (D), the slope factor in panel G showed significant changes in SNI neurons following WSC treatment. Data shown are mean ± SEM, n = 4–7 patches, *P < 0.05, **P < 0.01, two-sided paired t test.

Figure 6.
Multiple time course graphs depict effects of cholesterol enrichment on H C N channel function in D R G neurons from naive and S N I animals. The image contains multiple graphs depicting the effects of cholesterol enrichment via water-soluble cholesterol (W S C) on H C N channel function in dorsal root ganglion (D R G) neurons from naive and S N I (spared nerve injury) animals. Graph A shows representative membrane potential recordings using hyperpolarizing current injection; the ratio of the recovered potential (V rec) relative to the total hyperpolarization (V peak) reflects the percent recovery mediated by H C N activation, which decreases after W S C treatment. Graph B illustrates the time course of decreased percent recovery in naive D R G neurons after W S C treatment (tau equals 127 s) compared to untreated controls, while graph C shows a similar time course for S N I D R G neurons (tau equals 186 s). Graph D presents the time course of changes in the half-maximal activation voltage (V 1/2) and slope factor for naive DRG neurons, showing a significant hyperpolarizing shift in V 1/2. Graphs E and F show a decrease in normalized maximal current and an increase in the time constant (tau 1) of channel activation, respectively, for naive neurons following W S C application. Graph G summarizes the significant changes in V 1/2 and slope factor for S N I D R G neurons. Finally, the two graphs labeled H show the decrease in normalized maximal current and the increase in tau 1 activation for S N I D R G neurons over 15 minutes. Data are shown as mean plus or minus s.e.m., with statistical significance indicated by asterisks and n.s. for non-significant results. All values are approximate.

Effects of cholesterol enrichment on HCN channel function in nociceptor DRG neurons from naïve and SNI animals. (A) Representative protocol and membrane potential recordings using hyperpolarizing current injection (−90 pA) to activate HCN channels, leading to membrane depolarization. The ratio of the recovered potential (Vrec.) relative to the total hyperpolarization (Vpeak) reflects the percent of recovery in membrane potential mediated by HCN activation. (B) Time course of changes in the percent recovery (Vrec./Vpeak) after WSC treatment for naïve nociceptor DRG neurons (n = 5 patches), compared with untreated controls (n = 6 patches), mean ± SEM; red trace shows a single-exponential fit. (C) Time course of the change in the percent recovery for ipsilateral SNI DRG neurons (n = 4 patches with WSC treatment, mean ± SEM) using the same protocol as in panels A and B, compared with the no-treatment controls using ipsilateral neurons (n = 4 patches). (D–F) Time course of the change in the V1/2 and slope factor (Vs) derived from the G-V relationship (D, P = 2e−5, 4e−4, and 0.02 at 5, 10, and 15 min time points for V1/2), the current amplitude (E, P = 6e−4, 2e−4, and 7e−4 at 5, 10, and 15 min time points), and τ1 of channel activation (F, P = 6e−4, 1e−3, and 0.01 at 5, 10, and 15 min time points) after 0.5 mg/ml WSC application for naïve small DRG neurons; n.s., no statistical significance for the slope factor over time after WSC treatments, n = 7–10 patches. (G–I) Summary time course of the change in the V1/2 and slope factor (Vs) (G, P = 1e−4, 9e−4, and 4e−3 at 5, 10, and 15 min time points for V1/2, P = 0.004, 9e−5, and 0.014 at 5, 10, and 15 min time points for the slope), the current amplitude (H, P = 1e−4, 4e−5, and 1e−4 at 5, 10, and 15 min time points), and τ1 of channel activation (I, P = 0.03, 0.0017, and 0.026 at 5, 10, and 15 min time points) after 0.5 mg/ml WSC application for SNI small DRG neurons. Compared with naïve neurons (D), the slope factor in panel G showed significant changes in SNI neurons following WSC treatment. Data shown are mean ± SEM, n = 4–7 patches, *P < 0.05, **P < 0.01, two-sided paired t test.

Close modal

Next, to examine in greater detail how cholesterol supplementation modulates HCN channel gating and to test whether this modulation occurs sequentially, we performed same-patch time course experiments. We quantified the effects of WSC (0.5 mg/ml) supplementation on HCN channel gating parameters by recording native HCN currents and plotting the G-V relationships from both naïve DRG neurons and DRG neurons of the SNI model (Fig. 6, D–I). These HCN function measurements were performed every 5 min after WSC treatment, as each voltage protocol series requires 2–3 min to complete. In naïve DRG neurons, the slope factor Vs remained unchanged (Fig. 6 D). In contrast, the V1/2 (ΔV1/2 = ∼10 mV), current amplitude, and the primary time-constant τ1 of activation exhibited significant alterations throughout the ∼15 min of WSC treatment, with the most pronounced effects observed within the first 5 min (Fig. 6, D–I). Control experiments without WSC treatment showed only minor changes, likely due to gradual dilution of endogenous cytosolic cAMP (ΔV1/2 = ∼3 mV and little to no change in slope factor, current amplitude, and τ1 of activation, Fig. S6). Moreover, control experiments with WSC treatment, in the presence of supersaturating 0.5 mM added cAMP, showed a ΔV1/2 = ∼7 mV and no change in the slope factor, after WSC treatment. Results from these control experiments indicate that the observed effects were specifically mediated by cholesterol enrichment.

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Figure S6
Control experiments examining HCN channel gating in naïve DRG nociceptors without WSC treatment, in comparison with conditions with WSC treatment. (A–C) Summary time course of the change in the V1/2 and slope factor (Vs) (A), the current amplitude (B), and τ1 of channel activation (C) after 0.5 mg/ml WSC application for naïve DRG neurons. Data shown are mean ± SEM, n = 7 patches. **P = 0.004 in panel A using two-sided paired t test. (D) Summary of the change in V1/2 (ΔV1/2) 5 min after with or without WSC treatment for naïve and SNI DRG neurons. Added 0.5 mM cAMP in the pipette solution was also included as a comparison, showing no difference from the condition without the added cAMP, suggesting the effect was mediated by WSC. Data shown are mean ± SEM, n = 5–7 patches, one-way ANOVA, **P = 1e−4 (naïve: WSC versus no treatment); **P = 0.007 (naïve versus SNI, with WSC). Refer to the image caption for details. Panel A is a time course graph depicting the time course of changes in the half-activation voltage (V 1/2) and slope factor (V s) over 15 minutes after applying W S C. The horizontal axis represents time in minutes, and the vertical axis represents V 1/2 in millivolts (left) and slope factor in millivolts (right). Panel B is a time course graph showing the normalized current amplitude over time, indicating a slight decrease, with the vertical axis representing normalized current amplitude from 0.0 to 1.0. Panel C is a time course showing the time constant of activation (tau 1) over time, with the vertical axis representing tau 1 activation in milliseconds. Panel D is a scatter plot summarizing the change in V 1/2 (Delta V 1/2) five minutes after treatment across four conditions: Naive with W S C, Naive no treatment, Naive c A M P with W S C, and S N I with W S C. The y-axis represents the change in V 1/2 in millivolts, ranging from 0 to minus 14. Individual data points are shown as dots, with horizontal bars indicating mean p m s.e.m. Significant differences compared to the Naive with W S C group are marked with double asterisks. All values are approximate.

Control experiments examining HCN channel gating in naïve DRG nociceptors without WSC treatment, in comparison with conditions with WSC treatment. (A–C) Summary time course of the change in the V1/2 and slope factor (Vs) (A), the current amplitude (B), and τ1 of channel activation (C) after 0.5 mg/ml WSC application for naïve DRG neurons. Data shown are mean ± SEM, n = 7 patches. **P = 0.004 in panel A using two-sided paired t test. (D) Summary of the change in V1/2 (ΔV1/2) 5 min after with or without WSC treatment for naïve and SNI DRG neurons. Added 0.5 mM cAMP in the pipette solution was also included as a comparison, showing no difference from the condition without the added cAMP, suggesting the effect was mediated by WSC. Data shown are mean ± SEM, n = 5–7 patches, one-way ANOVA, **P = 1e−4 (naïve: WSC versus no treatment); **P = 0.007 (naïve versus SNI, with WSC).

Figure S6.
Three time course graphs and a scatter plot illustrating the time-dependent effects of W S C treatment on H C N channel activation. Panel A is a time course graph depicting the time course of changes in the half-activation voltage (V 1/2) and slope factor (V s) over 15 minutes after applying W S C. The horizontal axis represents time in minutes, and the vertical axis represents V 1/2 in millivolts (left) and slope factor in millivolts (right). Panel B is a time course graph showing the normalized current amplitude over time, indicating a slight decrease, with the vertical axis representing normalized current amplitude from 0.0 to 1.0. Panel C is a time course showing the time constant of activation (tau 1) over time, with the vertical axis representing tau 1 activation in milliseconds. Panel D is a scatter plot summarizing the change in V 1/2 (Delta V 1/2) five minutes after treatment across four conditions: Naive with W S C, Naive no treatment, Naive c A M P with W S C, and S N I with W S C. The y-axis represents the change in V 1/2 in millivolts, ranging from 0 to minus 14. Individual data points are shown as dots, with horizontal bars indicating mean p m s.e.m. Significant differences compared to the Naive with W S C group are marked with double asterisks. All values are approximate.

Control experiments examining HCN channel gating in naïve DRG nociceptors without WSC treatment, in comparison with conditions with WSC treatment. (A–C) Summary time course of the change in the V1/2 and slope factor (Vs) (A), the current amplitude (B), and τ1 of channel activation (C) after 0.5 mg/ml WSC application for naïve DRG neurons. Data shown are mean ± SEM, n = 7 patches. **P = 0.004 in panel A using two-sided paired t test. (D) Summary of the change in V1/2 (ΔV1/2) 5 min after with or without WSC treatment for naïve and SNI DRG neurons. Added 0.5 mM cAMP in the pipette solution was also included as a comparison, showing no difference from the condition without the added cAMP, suggesting the effect was mediated by WSC. Data shown are mean ± SEM, n = 5–7 patches, one-way ANOVA, **P = 1e−4 (naïve: WSC versus no treatment); **P = 0.007 (naïve versus SNI, with WSC).

Close modal

DRG neurons from the SNI model displayed changes in all gating parameters over the course of WSC exposure (Fig. 6, G–I). The key difference compared with naïve neurons was the significant change in the Vs, which occurred within the first 5 min (Fig. 6 G). Additionally, the change in the V1/2 for SNI neurons (ΔV1/2 = ∼6 mV) was less pronounced compared with that in naïve neurons (Fig. 6, D and G; and Fig. S6), which partially explains why the WSC-induced reduction in the recovery of membrane potential in Fig 6 C was slower in SNI neurons. These findings suggest that the reduction in the slope factor primarily reflects OMD expansion, whereas the changes in V1/2, current amplitude, and τ1 for activation likely result from both OMD expansion and an increased accumulation of accessible cholesterols in the PM. Similarly, all gating parameters changed more markedly within the first 5 min than between 5 and 15 min (Fig. 6, D–I). Cholesterols could exert direct binding effects on HCN channels in DRG neurons, as suggested by a putative cholesterol binding site of HCN3 channels (Yu et al., 2024), which is conserved across all HCN isoforms.

We previously demonstrated that the voltage sensor S4 helix of the HCN channel is sensitive to changes in OMD size in DRG neurons (Handlin and Dai, 2023; Handlin et al., 2024). Notably, the unusually long S4 segment in HCN channels (Lee and MacKinnon, 2017; Lee and MacKinnon, 2019; Handlin and Dai, 2023) may underlie their unique susceptibility to dual modulation by freely accessible cholesterol and OMDs, a feature not commonly observed in other voltage-gated ion channels. To assess whether this mechanism extends to other key ion channels involved in DRG neuron excitability, we recorded sodium currents from small nociceptive DRG neurons following cholesterol depletion (Fig. S7). Sodium channels in DRG neurons play important roles in controlling action potential firing and pain sensation (Alsaloum et al., 2025; Catterall, 2014). Similar to previous findings (Albani et al., 2024; Amsalem et al., 2018), mβCD treatment caused a slight hyperpolarizing shift in the activation curve (ΔV1/2 = ∼5 mV), without affecting the slope factor of activation or steady-state parameters of the fast inactivation. In contrast, as we emphasized earlier, cholesterol depletion increases the slope factor of the G-V relationship for HCN channels in nociceptor DRG neurons, suggesting a decrease in the effective gating charge movement associated with channel activation (Handlin et al., 2024). Sodium channels may not preferentially localize to OMDs, or their shorter S4 segments may lack sensitivity to changes in membrane domain compartmentalization (Wisedchaisri et al., 2019). These findings suggest that the dual modulatory effect of cholesterol on HCN channels may represent a channel-specific mechanism not shared by voltage-gated sodium channels.

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Figure S7
Effects of cholesterol extraction on the gating of endogenous sodium currents of naïve nociceptor DRG neurons. (A and B) Representative currents caused by sodium channel activation (A) and inactivation (B) in naïve nociceptor DRG neurons, before and after acute 2.5 mM mβCD treatment. (C) Averaged G-V relationships showing the activation (triangle maker) and inactivation (diamond shape) profiles of endogenous sodium channels before and after acute 2.5 mM mβCD treatment. (D and E) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel activation. (F and G) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel inactivation. Data shown are mean ± SEM, n = 5 patches, *P = 0.01 using two-sided paired t test. Refer to the image caption for details. Panels A and B show representative current traces for channel Activation and Inactivation, respectively. Each panel includes a voltage pulse protocol, black Control traces, and cyan M beta C D traces, with a scale bar indicating 1 n A and 5 m s. Panel C is a line graph showing the averaged G/G max relationships. The horizontal axis represents Voltage (millivolt) ranging from minus 70 to plus 10. Activation is plotted with triangle markers (ascending curves) and inactivation with diamond markers (descending curves). M beta C D (cyan) shows a visible leftward shift in activation compared to Control (black). Panels D and E are summary scatter plots for activation. Panel D shows Activation V 1/2 (millivolt), where M beta C D treatment significantly shifts the value (P = 0.01). Panel E shows Activation V s (millivolt) (P equals 0.16). Panels F and G are summary scatter plots for inactivation. Panel F shows Inactivation V 1/2 (millivolt) (P equals 0.18), and Panel G shows Inactivation V s (millivolt) (P equals 0.49). Individual data points are shown as dots, with horizontal lines representing the mean p m s.e.m. All values are approximate.

Effects of cholesterol extraction on the gating of endogenous sodium currents of naïve nociceptor DRG neurons. (A and B) Representative currents caused by sodium channel activation (A) and inactivation (B) in naïve nociceptor DRG neurons, before and after acute 2.5 mM mβCD treatment. (C) Averaged G-V relationships showing the activation (triangle maker) and inactivation (diamond shape) profiles of endogenous sodium channels before and after acute 2.5 mM mβCD treatment. (D and E) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel activation. (F and G) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel inactivation. Data shown are mean ± SEM, n = 5 patches, *P = 0.01 using two-sided paired t test.

Figure S7.
Electrophysiological traces and conductance-voltage curves showing that cholesterol extraction via M beta C D. Panels A and B show representative current traces for channel Activation and Inactivation, respectively. Each panel includes a voltage pulse protocol, black Control traces, and cyan M beta C D traces, with a scale bar indicating 1 n A and 5 m s. Panel C is a line graph showing the averaged G/G max relationships. The horizontal axis represents Voltage (millivolt) ranging from minus 70 to plus 10. Activation is plotted with triangle markers (ascending curves) and inactivation with diamond markers (descending curves). M beta C D (cyan) shows a visible leftward shift in activation compared to Control (black). Panels D and E are summary scatter plots for activation. Panel D shows Activation V 1/2 (millivolt), where M beta C D treatment significantly shifts the value (P = 0.01). Panel E shows Activation V s (millivolt) (P equals 0.16). Panels F and G are summary scatter plots for inactivation. Panel F shows Inactivation V 1/2 (millivolt) (P equals 0.18), and Panel G shows Inactivation V s (millivolt) (P equals 0.49). Individual data points are shown as dots, with horizontal lines representing the mean p m s.e.m. All values are approximate.

Effects of cholesterol extraction on the gating of endogenous sodium currents of naïve nociceptor DRG neurons. (A and B) Representative currents caused by sodium channel activation (A) and inactivation (B) in naïve nociceptor DRG neurons, before and after acute 2.5 mM mβCD treatment. (C) Averaged G-V relationships showing the activation (triangle maker) and inactivation (diamond shape) profiles of endogenous sodium channels before and after acute 2.5 mM mβCD treatment. (D and E) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel activation. (F and G) Summary data showing the V1/2 and the slope factor (Vs) for sodium channel inactivation. Data shown are mean ± SEM, n = 5 patches, *P = 0.01 using two-sided paired t test.

Close modal

Our approach investigates the effects of cholesterol on ion channels and membrane properties. By combining FLIM-FRET–based imaging of OMDs, cholesterol sensors, and homo-FRET–based anisotropy imaging, we have developed a strategy to temporally distinguish the contributions of OMDs from those of free, accessible cholesterol in the PM. This approach can be broadly applied to study other membrane proteins regulated by lipid microenvironments, such as voltage-gated potassium channels, G-protein–coupled receptors, and mechanosensitive ion channels. Many of these proteins localize to or interact with OMDs, yet their regulation by cholesterol remains poorly understood. By dissecting dynamic changes in compartmentalized nanodomains and cholesterol distribution, our methodology enables future studies to explore how cholesterol modulates ion channels and impinges on neuronal excitability.

In neuropathic pain, upregulation of HCN channels and shifts in their voltage dependence contribute to spontaneous firing and heightened pain sensitivity (Emery et al., 2011; Tsantoulas et al., 2017; Young et al., 2014). By identifying a dual mechanism by which cholesterol regulates HCN channels—via both OMD expansion and increased inner leaflet cholesterol—we provide a mechanism for understanding how membrane lipid composition alters excitability in disease states. HCN channel hyperactivity is a well-established facilitator of neuronal firing; its inhibition—such as through cholesterol-mediated modulation—can effectively dampen the pathological hyperexcitability. However, the role of HCN is highly context dependent: when activated near resting potential, opening HCN channels can often shunt excitability by increasing membrane conductance, effectively suppressing depolarizing currents (Poolos et al., 2002; Hu and Bean, 2018; Ko et al., 2016; Tsantoulas et al., 2017; Young et al., 2014; Vasylyev et al., 2023; George et al., 2009). This suggests that cholesterol may not uniformly mitigate excitability in all neurons; its effect likely depends on the specific cellular context, including the resting membrane potential, HCN isoform expression, and concurrent activation of other voltage-gated channels. This context dependence determines whether the dominant effect of HCN opening is excitatory or inhibitory for membrane excitability. Specifically, our results demonstrate that a decrease in free cholesterol levels at the membrane of nociceptor DRG neurons following nerve injury may be functionally linked to pain behaviors. We demonstrate that cholesterol depletion sensitizes naïve animals to mechanical stimuli, whereas cholesterol supplementation attenuates mechanical hypersensitivity in a neuropathic pain model, consistent with an inhibitory role of cholesterol. These pain-related phenotypes are accompanied by reduced homo-FRET between cholesterol sensors and distinct alterations in HCN channel gating, including shifts in voltage sensitivity and activation kinetics. The ability to temporally separate the effects of OMD expansion from those of free cholesterol accumulation using biophysical and imaging tools allowed us to link specific gating changes to different stages of membrane remodeling. Notably, changes in slope factor (Vs) were more closely associated with OMD expansion, while shifts in half-maximal activation voltage (V1/2) and time constants were more sensitive to increased cholesterol content in the inner leaflet.

This dual mechanism of HCN channel modulation likely arises from their distinctive structural features. The long S4 voltage-sensing helix in HCN channels, which spans a considerable portion of the membrane electric field, is particularly responsive to changes in membrane order and lipid packing (Lee and MacKinnon, 2017; Lee and MacKinnon, 2019; Handlin and Dai, 2023). Furthermore, the presence of putative cholesterol-binding motifs in HCN channel subtypes raises the possibility of direct cholesterol–channel interactions that modulate gating. In addition, cholesterols could regulate other membrane lipids and indirectly modulate channel activities (Kwarteng et al., 2025; Delgado-Ramirez et al., 2024; Taglieri et al., 2012; Pike and Miller, 1998), which remains an area of future investigation. These features make HCN channels highly susceptible to lipid-mediated modulation, offering a mechanistic insight into their dynamic behavior in sensory neurons under inflammation or injury. From a translational perspective, these findings raise the possibility that manipulating membrane cholesterol—either pharmacologically or genetically—could serve as a strategy for tuning HCN channel function and alleviating chronic pain. While current therapies targeting HCN channels have largely focused on pharmacological pore blockers, our work suggests that modulating the HCN voltage sensor/OMD interactions or the lipid-bilayer nano-environment could achieve similar outcomes.

In summary, this study provides insights into the biophysical mechanisms by which free cholesterol and OMD-associated cholesterol pools cooperatively regulate ion channel activity, with relevance for HCN channel function in nociceptors. By integrating fluorescence imaging, electrophysiology, and in vivo behavior, we present a view of how sequential cholesterol-driven membrane lipid remodeling contributes to neuronal hyperexcitability and pain. This integrative paradigm offers new insights for understanding and treating neuropathic pain by targeting the membrane environment.

All source data in Figs. 1, 2, 3, 4, 5, and 6 are provided as a Source Data file in figshare.com as https://doi.org/10.6084/m9.figshare.29983183, and additional data are in the online supplemental material.

Crina M. Nimigean served as editor.

Cartoons in figures were created using BioRender.

This research is supported by the National Institute of General Medical Sciences R35GM154778 grant (to G. Dai) and by the Doisy Fund (to G. Dai and L.J. Handlin) of the Edward A. Doisy Department of Biochemistry and Molecular Biology at Saint Louis University School of Medicine. The Moutal lab is supported by startup funds from the Department of Pharmacology and Physiology, Saint Louis University; SLU Institute for Drug and Biotherapeutic Innovation seed grant; National Institute of Neurological Disorders and Stroke R01NS119263 grant; and the Department of Defense Chronic Pain Management Research Program #CP220080P1 grant.

Author contributions: Lucas J. Handlin: data curation, formal analysis, investigation, methodology, project administration, validation, visualization, and writing—review and editing. Clémence Gieré: investigation. Nicolas L.A. Dumaire: investigation. Lyuba Salih: investigation and methodology. Aubin Moutal: formal analysis, investigation, resources, and writing—original draft, review, and editing. Gucan Dai: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, and writing—original draft, review, and editing.

Acosta
,
C.
,
S.
Mcmullan
,
L.
Djouhri
,
L.
Gao
,
R.
Watkins
,
C.
Berry
,
K.
Dempsey
, and
S.N.
Lawson
.
2012
.
HCN1 and HCN2 in Rat DRG neurons: Levels in nociceptors and non-nociceptors, NT3-dependence and influence of CFA-induced skin inflammation on HCN2 and NT3 expression
.
PLoS One
.
7
:e50442.
Albani
,
S.
,
V.S.B.
Eswaran
,
A.
Piergentili
,
P.C.T.
de Souza
,
A.
Lampert
, and
G.
Rossetti
.
2024
.
Depletion of membrane cholesterol modifies structure, dynamic and activation of Na(v)1.7
.
Int. J. Biol. Macromol.
278
:
134219
.
Alsaloum
,
M.
,
S.D.
Dib-Hajj
,
D.A.
Page
,
P.C.
Ruben
,
A.R.
Krainer
, and
S.G.
Waxman
.
2025
.
Voltage-gated sodium channels in excitable cells as drug targets
.
Nat. Rev. Drug Discov.
24
:
358
378
.
Amsalem
,
M.
,
C.
Poilbout
,
G.
Ferracci
,
P.
Delmas
, and
F.
Padilla
.
2018
.
Membrane cholesterol depletion as a trigger of Nav1.9 channel-mediated inflammatory pain
.
EMBO J.
37
:e97349.
Bader
,
A.N.
,
S.
Hoetzl
,
E.G.
Hofman
,
J.
Voortman
,
P.M.
van Bergen en Henegouwen
,
G.
van Meer
, and
H.C.
Gerritsen
.
2011
.
Homo-FRET imaging as a tool to quantify protein and lipid clustering
.
Chemphyschem
.
12
:
475
483
.
Beverley
,
K.M.
, and
I.
Levitan
.
2024
.
Cholesterol regulation of mechanosensitive ion channels
.
Front. Cell Dev. Biol.
12
:
1352259
.
Catterall
,
W.A.
2014
.
Structure and function of voltage-gated sodium channels at atomic resolution
.
Exp. Physiol.
99
:
35
51
.
Chaplan
,
S.R.
,
F.W.
Bach
,
J.W.
Pogrel
,
J.M.
Chung
, and
T.L.
Yaksh
.
1994
.
Quantitative assessment of tactile allodynia in the rat paw
.
J. Neurosci. Methods
.
53
:
55
63
.
Chaplan
,
S.R.
,
H.Q.
Guo
,
D.H.
Lee
,
L.
Luo
,
C.
Liu
,
C.
Kuei
,
A.A.
Velumian
,
M.P.
Butler
,
S.M.
Brown
, and
A.E.
Dubin
.
2003
.
Neuronal hyperpolarization-activated pacemaker channels drive neuropathic pain
.
J. Neurosci.
23
:
1169
1178
.
Christian
,
A.E.
,
M.P.
Haynes
,
M.C.
Phillips
, and
G.H.
Rothblat
.
1997
.
Use of cyclodextrins for manipulating cellular cholesterol content
.
J. Lipid Res.
38
:
2264
2272
.
Corvera
,
E.
,
O.G.
Mouritsen
,
M.A.
Singer
, and
M.J.
Zuckermann
.
1992
.
The permeability and the effect of acyl-chain length for phospholipid bilayers containing cholesterol: Theory and experiment
.
Biochim. Biophys. Acta
.
1107
:
261
270
.
Craven
,
K.B.
, and
W.N.
Zagotta
.
2006
.
CNG and HCN channels: Two peas, one pod
.
Annu. Rev. Physiol.
68
:
375
401
.
Dai
,
G.
2022
.
Neuronal KCNQ2/3 channels are recruited to lipid raft microdomains by palmitoylation of BACE1
.
J. Gen. Physiol.
154
:e202112888.
Dai
,
G.
,
Z.M.
James
, and
W.N.
Zagotta
.
2018
.
Dynamic rearrangement of the intrinsic ligand regulates KCNH potassium channels
.
J. Gen. Physiol.
150
:
625
635
.
Dai
,
G.
,
H.
Yu
,
M.
Kruse
,
A.
Traynor-Kaplan
, and
B.
Hille
.
2016
.
Osmoregulatory inositol transporter SMIT1 modulates electrical activity by adjusting PI(4,5)P2 levels
.
Proc. Natl. Acad. Sci. USA
.
113
:
E3290
E3299
.
Das
,
A.
,
M.S.
Brown
,
D.D.
Anderson
,
J.L.
Goldstein
, and
A.
Radhakrishnan
.
2014
.
Three pools of plasma membrane cholesterol and their relation to cholesterol homeostasis
.
Elife
.
3
:e02882.
Decosterd
,
I.
, and
C.J.
Woolf
.
2000
.
Spared nerve injury: An animal model of persistent peripheral neuropathic pain
.
Pain
.
87
:
149
158
.
Delgado-Ramirez
,
M.
,
A.L.
Lopez-Serrano
,
S.
Sanchez-Armass
,
U.
Meza
, and
A.A.
Rodriguez-Menchaca
.
2024
.
Crosstalk between cholesterol and PIP2 in the regulation of Kv7.2/Kv7.3 channels
.
Biol. Chem.
405
:
161
165
.
Difrancesco
,
D.
1986
.
Characterization of single pacemaker channels in cardiac sino-atrial node cells
.
Nature
.
324
:
470
473
.
Digman
,
M.A.
,
V.R.
Caiolfa
,
M.
Zamai
, and
E.
Gratton
.
2008
.
The phasor approach to fluorescence lifetime imaging analysis
.
Biophys. J.
94
:
L14
L16
.
Doan
,
T.N.
,
K.
Stephans
,
A.N.
Ramirez
,
P.A.
Glazebrook
,
M.C.
Andresen
, and
D.L.
Kunze
.
2004
.
Differential distribution and function of hyperpolarization-activated channels in sensory neurons and mechanosensitive fibers
.
J. Neurosci.
24
:
3335
3343
.
Emery
,
E.C.
,
G.T.
Young
,
E.M.
Berrocoso
,
L.
Chen
, and
P.A.
Mcnaughton
.
2011
.
HCN2 ion channels play a central role in inflammatory and neuropathic pain
.
Science
.
333
:
1462
1466
.
Emery
,
E.C.
,
G.T.
Young
, and
P.A.
Mcnaughton
.
2012
.
HCN2 ion channels: An emerging role as the pacemakers of pain
.
Trends Pharmacol. Sci.
33
:
456
463
.
Endapally
,
S.
,
D.
Frias
,
M.
Grzemska
,
A.
Gay
,
D.R.
Tomchick
, and
A.
Radhakrishnan
.
2019
.
Molecular discrimination between two conformations of sphingomyelin in plasma membranes
.
Cell
.
176
:
1040
1053.e17
.
Ercan
,
B.
,
T.
Naito
,
D.H.Z.
Koh
,
D.
Dharmawan
, and
Y.
Saheki
.
2021
.
Molecular basis of accessible plasma membrane cholesterol recognition by the GRAM domain of GRAMD1b
.
EMBO J.
40
:e106524.
Furst
,
O.
, and
N.
D’Avanzo
.
2015
.
Isoform dependent regulation of human HCN channels by cholesterol
.
Sci. Rep.
5
:
14270
.
George
,
M.S.
,
L.F.
Abbott
, and
S.A.
Siegelbaum
.
2009
.
HCN hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K+ channels
.
Nat. Neurosci.
12
:
577
584
.
Handlin
,
L.J.
, and
G.
Dai
.
2023
.
Direct regulation of the voltage sensor of HCN channels by membrane lipid compartmentalization
.
Nat. Commun.
14
:
6595
.
Handlin
,
L.J.
,
N.L.
Macchi
,
N.L.A.
Dumaire
,
L.
Salih
,
E.N.
Lessie
,
K.S.
Mccommis
,
A.
Moutal
, and
G.
Dai
.
2024
.
Membrane lipid nanodomains modulate HCN pacemaker channels in nociceptor DRG neurons
.
Nat. Commun.
15
:
9898
.
Hilgemann
,
D.W.
,
G.
Dai
,
A.
Collins
,
V.
Lariccia
,
S.
Magi
,
C.
Deisl
, and
M.
Fine
.
2018
.
Lipid signaling to membrane proteins: From second messengers to membrane domains and adapter-free endocytosis
.
J. Gen. Physiol.
150
:
211
224
.
Hu
,
W.
, and
B.P.
Bean
.
2018
.
Differential control of axonal and somatic resting potential by voltage-dependent conductances in cortical layer 5 pyramidal neurons
.
Neuron
.
97
:
1315
1326.e3
.
Joshi
,
A.
,
A.
Walimbe
,
S.
Sarkar
,
L.
Arora
,
G.
Kaur
,
P.
Jhandai
,
D.
Chatterjee
,
I.
Banerjee
, and
S.
Mukhopadhyay
.
2024
.
Intermolecular energy migration via homoFRET captures the modulation in the material property of phase-separated biomolecular condensates
.
Nat. Commun.
15
:
9215
.
Kinnebrew
,
M.
,
E.J.
Iverson
,
B.B.
Patel
,
G.V.
Pusapati
,
J.H.
Kong
,
K.A.
Johnson
,
G.
Luchetti
,
K.M.
Eckert
,
J.G.
Mcdonald
,
D.F.
Covey
, et al
.
2019
.
Cholesterol accessibility at the ciliary membrane controls hedgehog signaling
.
Elife
.
8
:e50051.
Ko
,
K.W.
,
M.N.
Rasband
,
V.
Meseguer
,
R.H.
Kramer
, and
N.L.
Golding
.
2016
.
Serotonin modulates spike probability in the axon initial segment through HCN channels
.
Nat. Neurosci.
19
:
826
834
.
Koh
,
D.H.Z.
,
T.
Naito
,
M.
Na
,
Y.J.
Yeap
,
P.
Rozario
,
F.L.
Zhong
,
K.L.
Lim
, and
Y.
Saheki
.
2023
.
Visualization of accessible cholesterol using a GRAM domain-based biosensor
.
Nat. Commun.
14
:
6773
.
Kusch
,
J.
,
C.
Biskup
,
S.
Thon
,
E.
Schulz
,
V.
Nache
,
T.
Zimmer
,
F.
Schwede
, and
K.
Benndorf
.
2010
.
Interdependence of receptor activation and ligand binding in HCN2 pacemaker channels
.
Neuron
.
67
:
75
85
.
Kwarteng
,
D.O.
,
A.
Wolf
,
M.
Langdon
,
N.
Kassas
,
N.
Vitale
, and
E.E.
Kooijman
.
2025
.
Cholesterol affects the binding of proteins to phosphatidic acid without influencing its ionization properties
.
J. Lipid Res.
66
:
100749
.
Lainez
,
S.
,
C.
Tsantoulas
,
M.
Biel
, and
P.A.
Mcnaughton
.
2019
.
HCN3 ion channels: Roles in sensory neuronal excitability and pain
.
J. Physiol.
597
:
4661
4675
.
Lee
,
C.H.
, and
R.
Mackinnon
.
2017
.
Structures of the human HCN1 hyperpolarization-activated channel
.
Cell
.
168
:
111
120.e11
.
Lee
,
C.H.
, and
R.
Mackinnon
.
2019
.
Voltage sensor movements during hyperpolarization in the HCN channel
.
Cell
.
179
:
1582
1589.e7
.
Levental
,
I.
, and
E.
Lyman
.
2023
.
Regulation of membrane protein structure and function by their lipid nano-environment
.
Nat. Rev. Mol. Cell Biol.
24
:
107
122
.
Levitan
,
I.
,
D.K.
Singh
, and
A.
Rosenhouse-Dantsker
.
2014
.
Cholesterol binding to ion channels
.
Front. Physiol.
5
:
65
.
Lingwood
,
D.
, and
K.
Simons
.
2010
.
Lipid rafts as a membrane-organizing principle
.
Science
.
327
:
46
50
.
Liu
,
S.L.
,
R.
Sheng
,
J.H.
Jung
,
L.
Wang
,
E.
Stec
,
M.J.
O’Connor
,
S.
Song
,
R.K.
Bikkavilli
,
R.A.
Winn
,
D.
Lee
, et al
.
2017
.
Orthogonal lipid sensors identify transbilayer asymmetry of plasma membrane cholesterol
.
Nat. Chem. Biol.
13
:
268
274
.
Mahammad
,
S.
, and
I.
Parmryd
.
2015
.
Cholesterol depletion using methyl-β-cyclodextrin
.
Methods Mol. Biol.
1232
:
91
102
.
Malacrida
,
L.
,
S.
Ranjit
,
D.M.
Jameson
, and
E.
Gratton
.
2021
.
The phasor plot: A universal circle to advance fluorescence lifetime analysis and interpretation
.
Annu. Rev. Biophys.
50
:
575
593
.
Matsubara
,
T.
,
I.I.
K
,
T.
Kojima
,
M.
Hirai
,
E.
Miyamoto
, and
T.
Sato
.
2021
.
Heterogeneous ganglioside-enriched nanoclusters with different densities in membrane rafts detected by a peptidyl molecular probe
.
Langmuir
.
37
:
646
654
.
Momin
,
A.
,
H.
Cadiou
,
A.
Mason
, and
P.A.
Mcnaughton
.
2008
.
Role of the hyperpolarization-activated current Ih in somatosensory neurons
.
J. Physiol.
586
:
5911
5929
.
Moutal
,
A.
,
X.
Yang
,
W.
Li
,
K.B.
Gilbraith
,
S.
Luo
,
S.
Cai
,
L.
Francois-Moutal
,
L.A.
Chew
,
S.K.
Yeon
,
S.S.
Bellampalli
, et al
.
2017
.
CRISPR/Cas9 editing of Nf1 gene identifies CRMP2 as a therapeutic target in neurofibromatosis type 1-related pain that is reversed by (S)-Lacosamide
.
Pain
.
158
:
2301
2319
.
Myeong
,
J.
,
C.G.
Park
,
B.C.
Suh
, and
B.
Hille
.
2021
.
Compartmentalization of phosphatidylinositol 4,5-bisphosphate metabolism into plasma membrane liquid-ordered/raft domains
.
Proc. Natl. Acad. Sci. USA
.
118
:e2025343118.
Naito
,
T.
,
B.
Ercan
,
L.
Krshnan
,
A.
Triebl
,
D.H.Z.
Koh
,
F.Y.
Wei
,
K.
Tomizawa
,
F.T.
Torta
,
M.R.
Wenk
, and
Y.
Saheki
.
2019
.
Movement of accessible plasma membrane cholesterol by the GRAMD1 lipid transfer protein complex
.
Elife
.
8
:e51401.
Pian
,
P.
,
A.
Bucchi
,
A.
Decostanzo
,
R.B.
Robinson
, and
S.A.
Siegelbaum
.
2007
.
Modulation of cyclic nucleotide-regulated HCN channels by PIP2 and receptors coupled to phospholipase C
.
Pflugers Arch.
455
:
125
145
.
Pike
,
L.J.
, and
J.M.
Miller
.
1998
.
Cholesterol depletion delocalizes phosphatidylinositol bisphosphate and inhibits hormone-stimulated phosphatidylinositol turnover
.
J. Biol. Chem.
273
:
22298
22304
.
Poolos
,
N.P.
,
M.
Migliore
, and
D.
Johnston
.
2002
.
Pharmacological upregulation of h-channels reduces the excitability of pyramidal neuron dendrites
.
Nat. Neurosci.
5
:
767
774
.
Ranjit
,
S.
,
L.
Malacrida
,
D.M.
Jameson
, and
E.
Gratton
.
2018
.
Fit-free analysis of fluorescence lifetime imaging data using the phasor approach
.
Nat. Protoc.
13
:
1979
2004
.
Robinson
,
C.V.
,
T.
Rohacs
, and
S.B.
Hansen
.
2019
.
Tools for understanding nanoscale lipid regulation of ion channels
.
Trends Biochem. Sci.
44
:
795
806
.
Sachl
,
R.
,
M.
Amaro
,
G.
Aydogan
,
A.
Koukalova
,
I.I.
Mikhalyov
,
I.A.
Boldyrev
,
J.
Humpolickova
, and
M.
Hof
.
2015
.
On multivalent receptor activity of GM1 in cholesterol containing membranes
.
Biochim. Biophys. Acta
.
1853
:
850
857
.
Saponaro
,
A.
,
D.
Bauer
,
M.H.
Giese
,
P.
Swuec
,
A.
Porro
,
F.
Gasparri
,
A.S.
Sharifzadeh
,
A.
Chaves-Sanjuan
,
L.
Alberio
,
G.
Parisi
, et al
.
2021a
.
Gating movements and ion permeation in HCN4 pacemaker channels
.
Mol. Cell
.
81
:
2929
2943.e6
.
Saponaro
,
A.
,
G.
Thiel
, and
A.
Moroni
.
2021b
.
Structural and functional approaches to studying cAMP regulation of HCN channels
.
Biochem. Soc. Trans.
49
:
2573
2579
.
Simons
,
K.
, and
R.
Ehehalt
.
2002
.
Cholesterol, lipid rafts, and disease
.
J. Clin. Invest.
110
:
597
603
.
Skocaj
,
M.
,
N.
Resnik
,
M.
Grundner
,
K.
Ota
,
N.
Rojko
,
V.
Hodnik
,
G.
Anderluh
,
A.
Sobota
,
P.
Macek
,
P.
Veranic
, and
K.
Sepcic
.
2014
.
Tracking cholesterol/sphingomyelin-rich membrane domains with the ostreolysin A-mCherry protein
.
PLoS One
.
9
:e92783.
Subczynski
,
W.K.
,
M.
Pasenkiewicz-Gierula
,
J.
Widomska
,
L.
Mainali
, and
M.
Raguz
.
2017
.
High cholesterol/low cholesterol: Effects in biological membranes: A review
.
Cell Biochem. Biophys.
75
:
369
385
.
Taglieri
,
D.M.
,
D.A.
Delfin
, and
M.M.
Monasky
.
2012
.
Cholesterol regulation of PIP(2): Why cell type is so important
.
Front. Physiol.
3
:
492
.
Tsantoulas
,
C.
,
S.
Lainez
,
S.
Wong
,
I.
Mehta
,
B.
Vilar
, and
P.A.
Mcnaughton
.
2017
.
Hyperpolarization-activated cyclic nucleotide-gated 2 (HCN2) ion channels drive pain in mouse models of diabetic neuropathy
.
Sci. Transl. Med.
9
:eaam6072.
van Zanten
,
T.S.
,
G.P.
S
, and
S.
Mayor
.
2023
.
Quantitative fluorescence emission anisotropy microscopy for implementing homo-fluorescence resonance energy transfer measurements in living cells
.
Mol. Biol. Cell
.
34
:
tp1
.
Vasylyev
,
D.V.
,
S.
Liu
, and
S.G.
Waxman
.
2023
.
Ih current stabilizes excitability in rodent DRG neurons and reverses hyperexcitability in a nociceptive neuron model of inherited neuropathic pain
.
J. Physiol.
601
:
5341
5366
.
Veatch
,
S.L.
, and
S.L.
Keller
.
2002
.
Organization in lipid membranes containing cholesterol
.
Phys. Rev. Lett.
89
:
268101
.
Wang
,
H.
,
J.A.
Kulas
,
C.
Wang
,
D.M.
Holtzman
,
H.A.
Ferris
, and
S.B.
Hansen
.
2021
.
Regulation of β-amyloid production in neurons by astrocyte-derived cholesterol
.
Proc. Natl. Acad. Sci. USA
.
118
:
118
.
Wisedchaisri
,
G.
,
L.
Tonggu
,
E.
Mccord
,
T.M.
Gamal El-Din
,
L.
Wang
,
N.
Zheng
, and
W.A.
Catterall
.
2019
.
Resting-state structure and gating mechanism of a voltage-gated sodium channel
.
Cell
.
178
:
993
1003.e12
.
Young
,
G.T.
,
E.C.
Emery
,
E.R.
Mooney
,
C.
Tsantoulas
, and
P.A.
Mcnaughton
.
2014
.
Inflammatory and neuropathic pain are rapidly suppressed by peripheral block of hyperpolarisation-activated cyclic nucleotide-gated ion channels
.
Pain
.
155
:
1708
1719
.
Yu
,
B.
,
Q.
Lu
,
J.
Li
,
X.
Cheng
,
H.
Hu
,
Y.
Li
,
T.
Che
,
Y.
Hua
,
H.
Jiang
,
Y.
Zhang
, et al
.
2024
.
Cryo-EM structure of human HCN3 channel and its regulation by cAMP
.
J. Biol. Chem.
300
:
107288
.
Zagotta
,
W.N.
,
N.B.
Olivier
,
K.D.
Black
,
E.C.
Young
,
R.
Olson
, and
E.
Gouaux
.
2003
.
Structural basis for modulation and agonist specificity of HCN pacemaker channels
.
Nature
.
425
:
200
205
.
Zhang
,
X.
,
B.T.
Priest
,
I.
Belfer
, and
M.S.
Gold
.
2017
.
Voltage-gated Na+ currents in human dorsal root ganglion neurons
.
Elife
.
6
:e23235.

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Disclosures: The authors declare no competing interests exist.

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