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Scala et al. (https://doi.org/10.1085/jgp.202613986) use combined genetic and pharmacological approaches to demonstrate that Kir6.2/SUR2-containg KATP potassium ion channels are the functionally relevant isoform that modulate contractile behavior of fast-twitch muscle during fatigue.

When Noma reported in 1983 that potassium channels in cardiac muscle are closed by intracellular ATP (Noma, 1983), he was providing direct evidence for the first time for a beautifully simple idea: a potassium channel opens as the cell becomes metabolically stressed and limits further activity. It was also soon demonstrated that this current was sensitive to glibenclamide and active in pancreatic β-cells, providing a molecular explanation for the action of sulfonylurea drugs, which had been used since the late 1950s to stimulate insulin secretion (Cook and Hales, 1984). The KATP current was soon identified widely, including in all muscle types as well as in neurones (Spruce et al., 1985; Flagg et al., 2010). Patch-clamp recordings from frog skeletal muscle showed that the surface membrane carried these channels in remarkable abundance; by some estimates, they were the most densely expressed K+ channel of the sarcolemma (Spruce et al., 1985). Yet skeletal muscle promptly delivered a paradox that has shadowed the field ever since. Free [ATP] in working muscle is buffered by phosphocreatine to several millimolar—well above the IC50 of the channel measured in excised patches—and therefore even during punishing exercise it falls by only about 20% (human data [Greenhaff et al., 1994]). From a simple bulk-ATP concentration perspective on paper, the sarcolemmal KATP channel should barely open. A succession of biophysical studies through the 1990s argued that the resolution lay in cofactors (e.g., acidification [Davies, 1990], adenosine, Mg-ADP, etc., reviewed by Flagg et al. [2010]) that modulate ATP sensitivity rather than simply [ATP] itself, but it has remained far from clear what physiological role the channel really had on skeletal muscle contractile behavior. Subtle changes in fatigue development were suggested to involve KATP, but without conclusive demonstration of the underlying molecular identity (Matar et al., 2000).

Part of the difficulty was that the KATP complex is itself, well, complex. The KATP channel family comprises a group of metabolically responsive proteins. Structurally, these channels are hetero-octameric complexes formed by four inwardly rectifying pore-forming subunits, Kir6.1 (encoded by Kcnj8) or Kir6.2 (encoded by Kcnj11), and four regulatory sulfonylurea receptor (SUR) subunits (part of the ATP-binding cassette protein family), which can be SUR1 (encoded by Abcc8) or SUR2 (encoded by Abcc9) with splice variants, SUR2A and SUR2B (Babenko et al., 1998).

Genetically, one might expect SUR1 and Kir6.2 to pair together since they both reside on chromosome 7 in mouse (Ensembl, 2026), and SUR2 to pair with Kir6.1 since these are both on chromosome 6 in mouse (Ensembl, 2026). All subunit types have been detected in skeletal muscle, with transcript profiles varying by species, fiber type, age, and pathological state, and patch-clamp work argues for tissue-specific hybrid assemblies in fast-twitch versus slow-twitch fibers (Tricarico et al., 2006). Correlation analysis of our own transcriptomic work with mouse skeletal muscle (Staunton et al., 2022) shows Kir6.1 correlates significantly with SUR2, the pairing described as “canonical” by Scala et al. (2026), but so too does the more abundantly transcribed Kir6.2 (Fig. 1). Perhaps in terms of muscle Kir6.2 pairings, the Kir6.2/SUR2 could be referred to as “functionally canonical” despite being trans-chromosomal. Furthermore, whilst direct evidence for the in vivo existence of channels containing heteromultimeric pore-forming or regulatory subunits remains limited, experimental observations support additional complexity. For example, overexpression systems have revealed channels with intermediate single-channel conductances between those reported for Kir6.1 (∼40 pS) and Kir6.2 (∼80 pS) (Cui et al., 2001).

Figure 1.
A heat map showing the correlation of SUR and Kir subunits in mouse skeletal muscle. The heat map is a grid layout with four rows and four columns, each representing different subunits: SUR2, SUR1, Kir6.2, and Kir6.1. The axes are labeled with the same subunit names. The color scale ranges from blue to red, indicating the correlation values from low to high. Darker red colors represent higher correlation values, while lighter blue colors represent lower correlation values. The values range from 0.38 to 1.0. Notable high correlation values include 0.91 between SUR2 and Kir6.1, 0.89 between SUR2 and Kir6.2, and 0.85 between Kir6.2 and Kir6.1. The diagonal of the heat map shows values of 1, indicating perfect correlation of each subunit with itself. The dataset comprises transcriptomic profiles derived from mouse skeletal muscle tissue, encompassing 10 RNA sequencing samples collected from healthy young and aged mice.

Correlation of SUR and Kir in mouse AT muscle. Data from Staunton et al. (2022) analysis here Barrett-Jolley (2026). Includes healthy young and old mice; 10 RNA sequence samples in total. Note that this figure does not indicate absolute expression levels, in relative transcript abundance terms, there was 4× more Kir6.2 than Kir6.1 in young AT tissue and >10× more SUR2 than SUR1. Pearson correlation on log2(TPM+1) transcript abundance; *P < 0.05; **P < 0.01; ***P < 0.001.

Figure 1.
A heat map showing the correlation of SUR and Kir subunits in mouse skeletal muscle. The heat map is a grid layout with four rows and four columns, each representing different subunits: SUR2, SUR1, Kir6.2, and Kir6.1. The axes are labeled with the same subunit names. The color scale ranges from blue to red, indicating the correlation values from low to high. Darker red colors represent higher correlation values, while lighter blue colors represent lower correlation values. The values range from 0.38 to 1.0. Notable high correlation values include 0.91 between SUR2 and Kir6.1, 0.89 between SUR2 and Kir6.2, and 0.85 between Kir6.2 and Kir6.1. The diagonal of the heat map shows values of 1, indicating perfect correlation of each subunit with itself. The dataset comprises transcriptomic profiles derived from mouse skeletal muscle tissue, encompassing 10 RNA sequencing samples collected from healthy young and aged mice.

Correlation of SUR and Kir in mouse AT muscle. Data from Staunton et al. (2022) analysis here Barrett-Jolley (2026). Includes healthy young and old mice; 10 RNA sequence samples in total. Note that this figure does not indicate absolute expression levels, in relative transcript abundance terms, there was 4× more Kir6.2 than Kir6.1 in young AT tissue and >10× more SUR2 than SUR1. Pearson correlation on log2(TPM+1) transcript abundance; *P < 0.05; **P < 0.01; ***P < 0.001.

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Reconstituted Kir6.2/SUR2A channels, clearly the main cardiac/skeletal type, have a notably lower nucleotide sensitivity than other isoforms (Babenko et al., 1998), a property since attributed to SUR2A-specific structural features that disfavor activation by Mg-nucleotide (Masia et al., 2005). So perhaps the physiologically dominant isoform in skeletal muscle could simply be the KATP variant least in conflict with millimolar [ATP]?

This is the gap that Scala et al. (2026) now close. Using a panel of mice individually lacking selected subunit genes (Kir6.2, SUR1, or SUR2), they assess isolated extensor digitorum longus contractility under a high-frequency tetanic fatigue protocol supplemented by pharmacological intervention. Single twitch and single tetanus parameters are unchanged across all genotypes, consistent with KATP channels not being engaged at rest. In WT muscle, pharmacological inhibition with the pan-KATP channel blocker, glibenclamide, had little effect on single contractions and produced, at most, a modest “nonsignificant trend” toward delayed fatigue onset, but more strikingly it significantly increased resting force between contractions.

Now here is where it gets interesting; during repeated high-frequency tetanic stimulation (225 Hz for 300 ms, delivered every 2 s), a progressive decline in force was observed, serving as an index of fatigue. This decline was modestly delayed by glibenclamide treatment. In addition, an increase in basal, unstimulated force was evident between contractions, which the authors attribute to the loss of hyperpolarizing current mediated by Kir6.2/SUR2A channels. And the transgenic results? Under repeated tetanic stimulation, Kir6.2−/− and SUR2−/− muscles produce a similar phenotype to glibenclamide treatment: slowed loss of stimulated force, attenuated intra-tetanic fade, and progressive development of substantial unstimulated baseline force. SUR1−/− muscles were indistinguishable from wild type by every measure; furthermore, glibenclamide produces no further change in Kir6.2−/− muscles, where it should, of course, if any glibenclamide-sensitive Kir6.1-containing channels were participating.

Not entirely, and Scala et al. (2026) are clear on this point. They establish that Kir6.2/SUR2 channel is functionally engaged during a tetanic fatigue protocol. What remains unresolved is the immediate local metabolic or signalling trigger. The 1990s candidates, protons, Mg-ADP, and adenosine are all still on the table, with no decisive consensus (Flagg et al., 2010); the difference is that the molecular receiver of those signals is no longer ambiguous. There could also be a small contribution from Kir6.1 since whilst Kir6.1 knockout is not embryonically lethal, it is associated with significant cardiovascular pathology, including spontaneous coronary vasospasm resembling Prinzmetal angina, often leading to premature death (Miki et al., 2002). As a result, and as the authors note, these animals rarely survive to ages comparable with those studied here, complicating direct functional comparisons.

Across three different muscle tissues, the full picture is now emerging. In cardiac ventricular sarcolemma (also Kir6.2/SUR2A), KATP opening during ischemia abbreviates the action potential and limits Ca2+ loading (Lederer et al., 1989; Lascano et al., 2002; Nichols, 2016). In vascular smooth muscle, the prevailing assembly is Kir6.1/SUR2B, and the function is regulation of basal tone via integration of kinase signalling (Quayle et al., 1997), with conditional knockout work confirming a major role in blood pressure control (Aziz et al., 2014). Fast-twitch skeletal muscle now joins the comparison cleanly, a Kir6.2/SUR2A assembly serving as a fatigue brake, with the cost of brake release being abnormal baseline tension and impaired relaxation between contractions (Scala et al., 2026). One channel family; three muscle types, three physiological logics (Table 1).

Table 1.

Functional roles of KATP complex isoforms across muscle types

Cardiac muscleSmooth muscleSkeletal muscle (e.g., fast twitch)
Kir6.2/SUR2A AP duration (ventricular), during ischemia
(Zhu et al., 2011
Not shown Fatigue Brake (SUR2)
(Scala et al., 2026
Kir 6.1/SUR2B Not shown Basal vascular tone and blood pressure
(Aziz et al, 2014; Dart, 2014
Not shown 
Kir 6.1 AP fine-tuning, SUR isoform unknown
(Brennan et al., 2024)
Heart rate modulation via SAN, SUR isoform unknown
(Aziz et al., 2018
Combined with SUR1? Possible
(Teramoto, 2006
Not shown 

So, to date, available evidence, in both cardiac and now skeletal muscle, points to a fascinating evolutionary quirk where the Kir6.2 and SUR2 pair together despite originating from their disparate chromosomes. Further investigation will be required to determine whether Kir6.1 plays any measurable role in skeletal muscle physiology, and whether its contribution is functionally distinct from that of Kir6.2-containing channel complexes. Finally, what is the clever mechanism that allows KATP to open against a background of high [ATP], or is it simply that local microdomain [ATP] is sufficiently low?

Eduardo Ríos served as editor.

Author contributions: Richard D. Rainbow: writing—original draft, review, and editing. Richard Barrett-Jolley: conceptualization, formal analysis, software, visualization, and writing—original draft, review, and editing.

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This work is part of a special issue on Emerging Research on Ion Channels in Health and Disease.

Author notes

Disclosures: The authors declare no competing interests exist.

This article is distributed under the terms as described at https://rupress.org/pages/terms102024/.

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