CTLA-4 is a critical immune checkpoint that maintains self-tolerance by regulating immune activation. Here, we describe the first case of homozygous CTLA-4 deficiency (CTLA4S172P/S172P), presenting with early-onset autoimmunity, lymphoproliferation, and growth failure. Immunological profiling revealed profound T- and B-cell dysregulation, characterized by T-cell hyperproliferation, a TH1-skewed helper T-cell phenotype, and expansion of activated and atypical B-cell subsets. The identified variant led to impaired CTLA-4 protein stability and enhanced lysosomal degradation, resulting in significantly reduced but still detectable total and surface expression and defective CD80 transendocytosis. Abatacept (CTLA-4-Ig) therapy effectively restored immune regulation and controlled disease activity. These findings expand the clinical and mechanistic spectrum of CTLA-4–related disorders, linking residual CTLA-4 function with the severity of immune dysregulation and emphasizing the therapeutic potential of targeted CTLA-4 modulation.
Introduction
Cytotoxic T lymphocyte–associated antigen 4 (CTLA-4; CD152) is a critical inhibitory receptor of the immunoglobulin superfamily, encoded by four exons, including a leader peptide sequence, ligand-binding domain, transmembrane region, and cytoplasmic tail, and composed of 223 amino acids (1, 2). CTLA-4 is transiently upregulated on activated effector T cells and constitutively expressed on regulatory T cells (Tregs), where it is indispensable for maintaining peripheral tolerance and preventing autoimmunity (3, 4, 5, 6). Functionally, CTLA-4 competes with the costimulatory receptor CD28 for binding to the shared ligands CD80 and CD86 on antigen-presenting cells (APCs) (7). While CD28 engagement delivers positive costimulatory signals that promote T cell proliferation and cytokine production, CTLA-4 engagement transduces inhibitory signals that restrain these responses (8, 9). Notably, CTLA-4 binds CD80 and CD86 with higher affinity than CD28 (7), and it can remove these ligands from the APC surface via transendocytosis, thereby attenuating CD28-mediated costimulation (10). Internalized CTLA-4 is subsequently recycled to the plasma membrane through clathrin-dependent endocytosis, ensuring sustained immune regulation (11). Consistent with these mechanistic insights, homozygous Ctla4-deficient mice exhibit severe lymphoproliferation and early lethality, whereas heterozygous animals are predominantly phenotypically normal (12, 13, 14). In humans, heterozygous CTLA4 variants result in CTLA-4 insufficiency, an autosomal dominant disorder identified in 2014, which contrasts with the heterozygous asymptomatic condition observed in mice (15, 16).
Clinically affected individuals present with a spectrum of immune dysregulation, including lymphoproliferation, hypogammaglobulinemia, autoimmune cytopenias, enteropathy, and recurrent respiratory and gastrointestinal infections (15, 16, 17, 18, 19, 20). Immunological analyses demonstrate both numerical abnormalities and impaired suppressive capacity of Tregs, which is associated with expansion of memory T cells and autoreactive B cells (15, 16). Treatment with abatacept, a CTLA-4-Ig fusion protein, restores these cellular and clinical phenotypes and reverses dysregulated transcriptional and proteomic signatures, highlighting the potential of targeted costimulatory blockade in managing CTLA-4 insufficiency (17, 19, 20, 21).
While CTLA-4–related immune dysregulation is classically driven by heterozygous loss-of-function (LoF) alleles that result in haploinsufficiency, molecular disease mechanisms caused by missense mutations are far more diverse. Although some missense changes primarily destabilize protein folding, leading to classical LoF, others exert their effects via alternative mechanisms (22, 23). Because CTLA-4 functions as a homodimer and clusters at the immune synapse, specific missense alleles may impair ligand binding and/or dimerization, thereby exerting dominant-negative effects (16, 17). As observed in other disorders, distinct missense variants can produce hypomorphic alleles; these result in partial LoF that is clinically tolerated in heterozygous carriers but drives severe immune dysregulation when inherited in a homozygous biallelic manner (22, 23).
To our knowledge, although heterozygous CTLA4 variants are well described, homozygous variants have not been reported in humans. Here, we present the first report providing a comprehensive mechanistic, cellular, and clinical characterization of homozygous CTLA-4 deficiency in humans. Additionally, we demonstrate that treatment with abatacept restores the immunological and clinical symptoms associated with this condition.
Results
A patient with early-onset immune dysregulation
The patient is a 9-year-old boy, born full-term via cesarean section to consanguineous parents, weighing 4,100 g at birth, with an unremarkable neonatal course. Family history was notable for transient early-childhood diarrhea in his mother that resolved spontaneously by 3 years of age and the death of an older brother at 7 mo of age due to severe diarrhea of unknown etiology. His father and paternal uncle had congenital blindness, and genetic evaluation of the father revealed a homozygous retinal degeration 3 (RD3) variant (c.112C>T, p.Arg38*) consistent with Leber congenital amaurosis. The patient’s clinical history is shown in Fig. 1 A. His first symptom was nonbloody, nonmucoid diarrhea that began when he was introduced to complementary feeding at 6 mo of age. He experiences severe growth failure due to inadequate weight gain, linked to chronic diarrhea. Serological tests show positive anti-tissue transglutaminase IgA (185 U/ml) and anti-gliadin IgA levels (>200 U/ml), indicating celiac disease. As a result, he was started on a gluten-free diet. However, gastrointestinal symptoms and linear growth failure persisted and even worsened. An upper and lower gastrointestinal endoscopy was conducted at 15 mo of age, revealing persistent villous atrophy despite strict adherence to the gluten-free diet. The physical examination at 17 mo of age demonstrated significant growth failure, with length, weight, and head circumference all below the third percentile relative to standardized age-normal values.
Panel A shows a clinical timeline chart summarizing symptoms, treatments, diagnoses, and hematological parameter changes. Panel B shows histopathology micrographs demonstrating villous atrophy, inflammatory infiltrates, and immune-marker staining patterns. Panel C shows a pedigree diagram illustrating familial inheritance, carrier status, and affected homozygous offspring. Panel D shows Sanger sequencing chromatograms confirming the CTLA4 variant genotype in family members. Panel E shows a protein topology diagram highlighting transmembrane localization of the S172P variant. Panel F shows a three-dimensional protein model mapping evolutionary conservation around the affected residue. Panel G shows structural molecular models comparing wild-type and mutant proteins, revealing conformational perturbations.
Identification and structural characterization of the homozygous CTLA4 S172P/S172P variant associated with immune dysregulation. (A) Clinical timeline illustrating patient presentation, treatment interventions, and key laboratory findings. The colored shading represents the normal reference range for the respective parameter. (B) Histopathology of duodenal biopsy. (Panel a) Hematoxylin and eosin staining showing increased intraepithelial lymphocytes, mononuclear inflammatory cell infiltration in the lamina propria, irregular crypt architecture, and flattened/atrophic villi (20×), (Panel b) CD3 immunohistochemistry demonstrating dense T lymphocyte infiltration of the lamina propria and surface epithelium (20×), (Panel c) scattered and rare CD20-positive B lymphocytes in the lamina propria (20×), (Panel d) CD8 immunostaining highlighting cytotoxic T lymphocytes (20×), (Panel e) scattered and rare BCL6-positive B lymphocytes in the lamina propria (20×), (Panel f) PD-L1 immunostaining showing predominantly subsurface/near-luminal inflammatory cells, including lymphocytes and dendritic cells (20×). (C) Pedigree of the family showing inheritance pattern. (D) Sanger sequencing chromatograms of the proband, parents, and HC confirming the homozygous CTLA4: c.514T>C (p.S172P) variant. (E) Predicted structure of the CTLA-4 transmembrane domain obtained from the mCSM-membrane database, with the S172P mutant residue highlighted in red. (F) ConSurf-derived evolutionary conservation analysis mapped onto the AlphaFold-predicted CTLA-4 3D structure, indicating highly conserved residues in the vicinity of the S172P variant. (G) Structural comparison of WT and S172P mutant CTLA-4 generated in ChimeraX v1.10.1. Hydrogen bonds are colored light blue, hydrophobic contacts are purple, and steric clashes are depicted in pink, illustrating local conformational perturbations induced by the pathogenic variant. WT, wild-type; mut, mutant; PLT, platelet; Hb, hemoglabin; WBC, white blood cell; NEU, neutrophil; LYM, lymphocyte.
Panel A shows a clinical timeline chart summarizing symptoms, treatments, diagnoses, and hematological parameter changes. Panel B shows histopathology micrographs demonstrating villous atrophy, inflammatory infiltrates, and immune-marker staining patterns. Panel C shows a pedigree diagram illustrating familial inheritance, carrier status, and affected homozygous offspring. Panel D shows Sanger sequencing chromatograms confirming the CTLA4 variant genotype in family members. Panel E shows a protein topology diagram highlighting transmembrane localization of the S172P variant. Panel F shows a three-dimensional protein model mapping evolutionary conservation around the affected residue. Panel G shows structural molecular models comparing wild-type and mutant proteins, revealing conformational perturbations.
Identification and structural characterization of the homozygous CTLA4 S172P/S172P variant associated with immune dysregulation. (A) Clinical timeline illustrating patient presentation, treatment interventions, and key laboratory findings. The colored shading represents the normal reference range for the respective parameter. (B) Histopathology of duodenal biopsy. (Panel a) Hematoxylin and eosin staining showing increased intraepithelial lymphocytes, mononuclear inflammatory cell infiltration in the lamina propria, irregular crypt architecture, and flattened/atrophic villi (20×), (Panel b) CD3 immunohistochemistry demonstrating dense T lymphocyte infiltration of the lamina propria and surface epithelium (20×), (Panel c) scattered and rare CD20-positive B lymphocytes in the lamina propria (20×), (Panel d) CD8 immunostaining highlighting cytotoxic T lymphocytes (20×), (Panel e) scattered and rare BCL6-positive B lymphocytes in the lamina propria (20×), (Panel f) PD-L1 immunostaining showing predominantly subsurface/near-luminal inflammatory cells, including lymphocytes and dendritic cells (20×). (C) Pedigree of the family showing inheritance pattern. (D) Sanger sequencing chromatograms of the proband, parents, and HC confirming the homozygous CTLA4: c.514T>C (p.S172P) variant. (E) Predicted structure of the CTLA-4 transmembrane domain obtained from the mCSM-membrane database, with the S172P mutant residue highlighted in red. (F) ConSurf-derived evolutionary conservation analysis mapped onto the AlphaFold-predicted CTLA-4 3D structure, indicating highly conserved residues in the vicinity of the S172P variant. (G) Structural comparison of WT and S172P mutant CTLA-4 generated in ChimeraX v1.10.1. Hydrogen bonds are colored light blue, hydrophobic contacts are purple, and steric clashes are depicted in pink, illustrating local conformational perturbations induced by the pathogenic variant. WT, wild-type; mut, mutant; PLT, platelet; Hb, hemoglabin; WBC, white blood cell; NEU, neutrophil; LYM, lymphocyte.
An endoscopy was performed once more, and allergen testing was also performed because the symptoms continued. As a result of this evaluation, no specific food allergen was identified. Histopathological assessment of the duodenal biopsy demonstrated findings consistent with autoimmune gastropathy and celiac-like enteropathy associated with immune dysregulation. The biopsy showed significant intraepithelial lymphocytosis, mononuclear inflammatory cell infiltration in the lamina propria, irregular crypts, and flattened, atrophic villi. Immunohistochemical analysis revealed prominent CD3+ and CD8+ T cell infiltration in both the lamina propria and surface epithelium, while CD20+ and BCL6+ B cells were rare. PD-L1+ inflammatory cells, mainly lymphocytes and dendritic cells, were concentrated near the luminal surface (Fig. 1 B). Given the persistence of gastrointestinal symptoms despite strict adherence to a gluten-free diet, these findings were compatible with autoimmune, celiac-like enteropathy, supporting the initiation of immunosuppressive therapy. Therefore, at 21 mo of age, immunosuppressive therapy with methylprednisolone (1.5 mg/kg/day) and azathioprine (2 mg/kg/day) was initiated. Quantitative plasma PCR was performed at that time to determine the EBV DNA copy number, which was 2,495 IU/ml. Following the immunosuppressive therapy, there was a notable improvement in clinical symptoms. Due to the positive response, this treatment was continued for ∼1 year before being discontinued. The patient remained asymptomatic until 5 years of age, at which time he developed spontaneous ecchymoses, recurrent epistaxis, and gingival bleeding. Laboratory evaluation revealed thrombocytopenia and concurrent hepatosplenomegaly. He was diagnosed with immune thrombocytopenic purpura and treated with intravenous immunoglobulin (IVIG, 1 g/kg/dose). After six courses of IVIG without a meaningful hematologic response, two courses of pulse methylprednisolone (30 mg/kg/dose) were administered. Methylprednisolone was then continued at a maintenance dose of 2 mg/kg/day, and eltrombopag therapy (25 mg/day) was added, leading to a transient improvement in platelet counts over 2 mo. However, thrombocytopenia recurred while the patient was on corticosteroid therapy, and hepatosplenomegaly reappeared. Bone marrow examination demonstrated normocellular hematopoiesis with no evidence of malignancy or marrow failure. The thrombocytopenia was considered refractory to both IVIG and corticosteroids. At 6.5 years of age, the patient was reevaluated due to ongoing, treatment-refractory episodes of thrombocytopenia. It was noted that he had been receiving continuous methylprednisolone therapy for approximately 1 year, including intermittent pulse infusions. On physical examination, his height and weight were at the 25th percentile; however, he exhibited a prominent cushingoid appearance. The liver was palpable 5 cm below the right midclavicular line. Following discontinuation of eltrombopag and tapering of methylprednisolone, the patient experienced a severe relapse of thrombocytopenia at the age of 7 years. Two courses of pulse methylprednisolone therapy (30 mg/kg/day) and two courses of IVIG (1 g/kg) were administered, but no meaningful hematologic response was observed. While on maintenance methylprednisolone (2 mg/kg/day), the patient remained refractory to conventional immunosuppressive and supportive therapies. As part of the diagnostic workup, immune dysregulation was suspected. He exhibited low IgG levels; however, his IgA levels were elevated, and his IgM levels remained within the normal range before the IVIG replacement therapy. The detailed immunological, laboratory parameters, and vaccine response profiles are summarized in Table 1 and Fig. 1 A.
Immunological evaluation of the CTLA4S172P/S172P patient
| Parameters | Before abatacept (Age: 7 years) | On abatacept (At 9 mo of therapy) | Reference values (5–10 years) |
|---|---|---|---|
| Leukocyte count (/μl) | 3,100 (↓) | 9,000 | 4,000–10,000 |
| Absolute lymphocyte count (/μl) | 1,200 (↓) | 4,300 | 1,803–5,636 |
| Absolute neutrophil count (/μl) | 1,100 (↓) | 4,000 | 2,000–7,000 |
| Absolute eosinophil count (/μl) | 110 | 210 | 20–500 |
| Hemoglobin (g/dl) | 11.2 | 14 | 11–16 |
| Platelet (x103/μl) | 6 (↓) | 315 | 150–450 |
| IgG (mg/dl) | 677 (↓) | On IgRT | 764–2,134 |
| IgA (mg/dl) | 146 | 89 | 78–383 |
| IgM (mg/dl) | 74 | 42 (↓) | 69–387 |
| IgE (IU/ml) | 3 | 7 | <200 |
| Specific antibody titers | | | |
| Anti-HBs IgG (mIU/ml) | <0.2 (−) | On IgRT | <10 negative |
| >= 10 positive | |||
| Anti-measles IgG (IU/L) | 0.82 (−) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Anti-mumps IgG (U/ml) | 1.51 (+) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Anti-varicella zoster IgG (S/CO) | 0.57 (−) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Lymphocyte subsets | | | |
| CD3+ T cells (%) | 77 | 66 | 55–86 |
| CD3+ count (/mm3) | 925 (↓) | 2,824 | 971–3,685 |
| CD3+ CD4+ (%) | 40 | 39 | 23–49 |
| CD3+ CD4+ count (/mm3) | 480 | 1,670 | 445–1,918 |
| CD3+ CD8+ (%) | 28 | 20 | 17–46 |
| CD3+ CD8+ count (/mm3) | 336 (↓) | 856 | 379–2,084 |
| CD19+ B cells (%) | 16 | 27 (↑) | 7–20 |
| CD19+ count (/mm3) | 192 | 1,155 (↑) | 122–755 |
| CD16 + 56+ NK cells (%) | 3 (↓) | 5 | 4–29 |
| CD16 + 56+ NK cell count (/mm3) | 38 (↓) | 201 | 105–1,107 |
| CD19+CD27−IgD+ B cells (%) | 89.1 (↑) | 88 (↑) | 45–85 |
| CD19+CD27+IgD+ B cells (%) | 2.8 (↓) | 2.5 (↓) | 4–24 |
| CD19+CD27+IgD− B cells (%) | 1.1 (↓) | 2.6 (↓) | 7–31 |
| CD21lowCD38low activated B (%) | 30.3 (↑) | 9.8 | 2–14 |
| CD3+ TCRα/β cells (%) | 77 | 85 | 68–96 |
| CD3+ TCRγ/δ cells (%) | 12 | 11 | 5–30 |
| CD4+CD45RA+CD31+ T cells (%) | 27.8 (↓) | 53.6 | 39–66 |
| CD4+CD45RA+CCR7+ T cells (%) | 26.6 (↓) | 57.6 | 38–75 |
| CD4+CD45RA−CCR7+ T cells (%) | 27.1 | 35.1 | 14–49 |
| CD4+CD45RA−CCR7− T cells (%) | 38.4 (↑) | 6.1 | 2–16 |
| CD4+CD45RA+CCR7− T cells (%) | 7.7 | 1.2 | 0–44 |
| CD8+CD45RA+CCR7+ T cells (%) | 28.1 | 77.9 (↑) | 17–62 |
| CD8+CD45RA−CCR7+ T cells (%) | 5.3 | 10.5 (↑) | 0–8 |
| CD8+CD45RA−CCR7− T cells (%) | 37 (↑) | 5.5 | 2–33 |
| CD8+CD45RA+CCR7− T cells (%) | 29.6 | 6.1 | 14–61 |
| Parameters | Before abatacept (Age: 7 years) | On abatacept (At 9 mo of therapy) | Reference values (5–10 years) |
|---|---|---|---|
| Leukocyte count (/μl) | 3,100 (↓) | 9,000 | 4,000–10,000 |
| Absolute lymphocyte count (/μl) | 1,200 (↓) | 4,300 | 1,803–5,636 |
| Absolute neutrophil count (/μl) | 1,100 (↓) | 4,000 | 2,000–7,000 |
| Absolute eosinophil count (/μl) | 110 | 210 | 20–500 |
| Hemoglobin (g/dl) | 11.2 | 14 | 11–16 |
| Platelet (x103/μl) | 6 (↓) | 315 | 150–450 |
| IgG (mg/dl) | 677 (↓) | On IgRT | 764–2,134 |
| IgA (mg/dl) | 146 | 89 | 78–383 |
| IgM (mg/dl) | 74 | 42 (↓) | 69–387 |
| IgE (IU/ml) | 3 | 7 | <200 |
| Specific antibody titers | | | |
| Anti-HBs IgG (mIU/ml) | <0.2 (−) | On IgRT | <10 negative |
| >= 10 positive | |||
| Anti-measles IgG (IU/L) | 0.82 (−) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Anti-mumps IgG (U/ml) | 1.51 (+) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Anti-varicella zoster IgG (S/CO) | 0.57 (−) | On IgRT | <0.9 negative |
| 0.9–1.1 borderline | |||
| >1.1 positive | |||
| Lymphocyte subsets | | | |
| CD3+ T cells (%) | 77 | 66 | 55–86 |
| CD3+ count (/mm3) | 925 (↓) | 2,824 | 971–3,685 |
| CD3+ CD4+ (%) | 40 | 39 | 23–49 |
| CD3+ CD4+ count (/mm3) | 480 | 1,670 | 445–1,918 |
| CD3+ CD8+ (%) | 28 | 20 | 17–46 |
| CD3+ CD8+ count (/mm3) | 336 (↓) | 856 | 379–2,084 |
| CD19+ B cells (%) | 16 | 27 (↑) | 7–20 |
| CD19+ count (/mm3) | 192 | 1,155 (↑) | 122–755 |
| CD16 + 56+ NK cells (%) | 3 (↓) | 5 | 4–29 |
| CD16 + 56+ NK cell count (/mm3) | 38 (↓) | 201 | 105–1,107 |
| CD19+CD27−IgD+ B cells (%) | 89.1 (↑) | 88 (↑) | 45–85 |
| CD19+CD27+IgD+ B cells (%) | 2.8 (↓) | 2.5 (↓) | 4–24 |
| CD19+CD27+IgD− B cells (%) | 1.1 (↓) | 2.6 (↓) | 7–31 |
| CD21lowCD38low activated B (%) | 30.3 (↑) | 9.8 | 2–14 |
| CD3+ TCRα/β cells (%) | 77 | 85 | 68–96 |
| CD3+ TCRγ/δ cells (%) | 12 | 11 | 5–30 |
| CD4+CD45RA+CD31+ T cells (%) | 27.8 (↓) | 53.6 | 39–66 |
| CD4+CD45RA+CCR7+ T cells (%) | 26.6 (↓) | 57.6 | 38–75 |
| CD4+CD45RA−CCR7+ T cells (%) | 27.1 | 35.1 | 14–49 |
| CD4+CD45RA−CCR7− T cells (%) | 38.4 (↑) | 6.1 | 2–16 |
| CD4+CD45RA+CCR7− T cells (%) | 7.7 | 1.2 | 0–44 |
| CD8+CD45RA+CCR7+ T cells (%) | 28.1 | 77.9 (↑) | 17–62 |
| CD8+CD45RA−CCR7+ T cells (%) | 5.3 | 10.5 (↑) | 0–8 |
| CD8+CD45RA−CCR7− T cells (%) | 37 (↑) | 5.5 | 2–33 |
| CD8+CD45RA+CCR7− T cells (%) | 29.6 | 6.1 | 14–61 |
IgRT, immunoglobulin replacement therapy; CD19+CD27−IgD+, naïve mature B cells; CD19+CD21lowCD38low, autoreactive B cells; CD19+CD27+IgD+, non–class-switched memory B cells; CD19+CD27+IgD−, class-switched memory B cells; CD4+CD45RA+CCR7+, CD4+ naïve T cells; CD8+CD45RA+CCR7+, CD8+ naïve T cells; CD4+CD45RA+CD31+, recent thymic emigrants; CD4+CD45RA−CCR7+, central memory CD4+ T cells; CD4+CD45RA−CCR7−, effector memory CD4+ T cells; CD4+CD45RA+CCR7−, terminally differentiated effector memory CD4+ T cells; CD8+CD45RA−CCR7+, central memory CD8+ T cells; CD8+CD45RA−CCR7−, effector memory CD8+ T cells; CD8+CD45RA+CCR7–, terminally differentiated effector memory CD8+ T cells. Abnormal values are indicated boldly with upward (↑) or downward (↓) arrows in parentheses.
Identification of a novel homozygous CTLA4S172P/S172P variant
Whole-genome sequencing (WGS) performed on the patient and both parents (trio analysis) revealed a novel homozygous missense substitution in exon 3 of CTLA4 (c.514T>C, p.S172P; NM_005214.5) (Fig. S1). Filtered candidate variants are listed in Table S1. Apart from CTLA4, none of the variants could explain the patient’s clinical manifestations, nor were they associated with immune system–related functions. This homozygous CTLA4 variant, located on the predicted transmembrane domain, was confirmed by Sanger sequencing (Fig. 1, C–E). Variant segregation within the extended family is shown in Fig. S2. Clinical evaluation of the family revealed that all heterozygous carriers of the variant were completely asymptomatic, with no clinical signs of immune dysregulation. The ConSurf algorithm (using 144 homologous species sequences) and multiple sequence alignment by ClustalW demonstrated that the localization of this variant is a highly conserved region (Fig. 1 F). These results suggest a functional relevance of the variant region. Notably, the variant is absent from major population databases, including gnomAD, ExAC, and the 1000 Genomes Project, supporting its rarity and likely pathogenicity. The CADD score is 23.6, which is high and strongly supports a deleterious effect. The in silico pathogenicity predictors, including AlphaMissense (score 0.79, deleterious), MutationTaster (1.0, disease-causing), DANN (0.99, deleterious), and GenoCanyon (1.0, deleterious), consistently indicate that the variant is functionally damaging. Furthermore, the mutation Cutoff Scanning Matrix (mCSM)-membrane algorithm (24) predicts a destabilizing effect on protein stability (ΔΔG = −0.674 kcal/mol), reinforcing the pathogenic potential of the p.S172P substitution. Structurally, the wild-type (WT) Ser172 residue forms stabilizing hydrogen bonds with Ala168 and Phe176 and maintains additional contacts with Phe175, Phe176, Ala168, and Ala169 (Fig. 1 G). Substitution with proline disrupts the critical hydrogen bond with Ala168 and introduces steric clashes with Ala168 and Ser171, while partially preserving contacts with Phe175 and Phe176, collectively compromising local structural integrity (Fig. 1 G). Considering the functional findings consistent with CTLA-4 deficiency, treatment with intravenous abatacept was initiated at a dose of 10 mg/kg, administered as 3 loading doses at 2-wk intervals, followed by maintenance therapy every 4 wk. The patient exhibited a dramatic and sustained improvement in platelet counts following treatment with abatacept. During follow-up, immunoglobulin replacement therapy (0.5 g/kg/month) and cotrimoxazole prophylaxis were initiated to prevent infections. At the time of reporting, the patient was in the 20th mo of abatacept therapy and had not experienced any episodes of thrombocytopenia during this period.
The diagram shows the CTLA4 mutation in the patient, parents, and paternal grandfather. The patient has a homozygous variant, indicated by a consistent sequence of C's. The mother and father each carry a heterozygous variant, shown by a mix of T's and C's. The paternal grandfather has a homozygous T/T variant. The sequence data is aligned horizontally, with each individual's data displayed in separate rows. The mutation site is highlighted with different colors to indicate the variants.
WGS data viewed in IGV showing the CTLA4 mutation in the patient, parents, and grandfather. The homozygous variant is present in the patient, whereas the parents carry the heterozygous variant. IGV, Integrative Genomics Viewer.
The diagram shows the CTLA4 mutation in the patient, parents, and paternal grandfather. The patient has a homozygous variant, indicated by a consistent sequence of C's. The mother and father each carry a heterozygous variant, shown by a mix of T's and C's. The paternal grandfather has a homozygous T/T variant. The sequence data is aligned horizontally, with each individual's data displayed in separate rows. The mutation site is highlighted with different colors to indicate the variants.
WGS data viewed in IGV showing the CTLA4 mutation in the patient, parents, and grandfather. The homozygous variant is present in the patient, whereas the parents carry the heterozygous variant. IGV, Integrative Genomics Viewer.
The chromatograms display the DNA sequences of various family members, including the patient, maternal aunt, maternal grandfather, maternal grandmother, paternal grandmother, mother, sister, maternal uncle, paternal uncle, and an unrelated healthy donor. Each chromatogram is labeled with the genotype of the individual at a specific position in the CTLA4 gene. The patient is shown to have a homozygous C/C genotype, while other family members exhibit either T/T or T/C genotypes. The chromatograms use different colors to represent the four DNA bases: adenine (A), thymine (T), cytosine (C), and guanine (G). The sequences are aligned vertically to highlight the differences in the genotypes among the family members.
Sanger sequencing chromatograms showing the CTLA4 variant in the extended family. The homozygous variant is confirmed in the patient, demonstrating segregation from the heterozygous parents.
The chromatograms display the DNA sequences of various family members, including the patient, maternal aunt, maternal grandfather, maternal grandmother, paternal grandmother, mother, sister, maternal uncle, paternal uncle, and an unrelated healthy donor. Each chromatogram is labeled with the genotype of the individual at a specific position in the CTLA4 gene. The patient is shown to have a homozygous C/C genotype, while other family members exhibit either T/T or T/C genotypes. The chromatograms use different colors to represent the four DNA bases: adenine (A), thymine (T), cytosine (C), and guanine (G). The sequences are aligned vertically to highlight the differences in the genotypes among the family members.
Sanger sequencing chromatograms showing the CTLA4 variant in the extended family. The homozygous variant is confirmed in the patient, demonstrating segregation from the heterozygous parents.
CTLA4S172P/S172P confers hypomorphic CTLA-4 expression and T cell hyperactivation
CTLA-4 is a key molecule required for the suppressive capacity of Tregs; therefore, we evaluated the frequencies of Tregs and their canonical markers, including CD25, CTLA-4, Helios, and CD39. Interestingly, in contrast to previously reported CTLA4-haploinsufficient patients (21, 25), the CTLA4S172P/S172P patient displayed an overall increase in CD4+FOXP3+ Treg frequencies, just as observed in homozygous Ctla4-deficient mice (Fig. 2, A and B) (26). However, CD25 expression was modestly reduced compared with healthy controls (HCs), while FOXP3 expression remained within the normal range (Fig. 2, C–E). Notably, the proportion of CD4+FOXP3+CD39+ Tregs was slightly elevated, whereas CD4+FOXP3+Helios+ Tregs were unaltered (Fig. 2, F and G). Following abatacept therapy, frequencies of CD4+FOXP3+ Tregs, CD4+FOXP3+CD39+ Tregs, and CD4+FOXP3+Helios+ Tregs declined (Fig. 2, A–G). Also, CD25 expression on CD4+FOXP3+ Tregs was reduced following abatacept therapy (Fig. 2, C–E). These changes result from the CD28 blockade by the CTLA-4-Ig (27).
Panel A shows flow cytometry plots comparing frequencies of CD4-positive FOXP3-positive regulatory T cells across groups. Panel B shows a bar graph quantifying percentages of CD4-positive FOXP3-positive regulatory T cells examined. Panel C shows histogram overlays comparing CD25 and FOXP3 expression levels within regulatory T cells. Panel D shows bar graphs summarizing mean fluorescence intensities of CD25 and FOXP3 markers. Panel E shows stacked bar charts depicting proportions of CD25-positive and CD25-negative regulatory cells. Panel F shows flow cytometry plots illustrating CD39 expression within CD4-positive FOXP3-positive regulatory T cells. Panel G shows bar graphs quantifying CD39-positive and Helios-positive regulatory T-cell subpopulation frequencies. Panel H shows histograms and bar graphs comparing unstimulated CTLA-4 expression among study groups. Panel I shows histograms and bar graphs evaluating CTLA-4 expression following cellular stimulation. Panel J shows histograms and bar graphs assessing CTLA-4 recycling under unstimulated and stimulated conditions. Panel K shows a bar graph comparing CTLA-4 expression in wild-type and mutant-transfected HEK293T cells.
CTLA4 S172P/S172P variant disrupts CTLA-4 expression in CD4 + FOXP3 + Tregs. (A) Representative flow cytometry plot showing the frequency of CD4+FOXP3+ Tregs. (B) Bar graph depicting the percentages of CD4+FOXP3+ Tregs. (C) Representative histograms illustrating CD25 and FOXP3 expression levels within CD4+FOXP3+ Tregs. Indicated: gray, HC; blue, patient before abatacept (abt); purple, patient after abatacept (12 mo). (D) Bar graphs showing MFI of CD25 and FOXP3 in CD4+FOXP3+ Tregs. (E) Bar graph representing the proportion of CD25+ and CD25− cells within the CD4+FOXP3+ Treg compartment. Indicated: black, CD25+; gray, CD25−. (F) Representative flow cytometry plot of CD39 expression within CD4+FOXP3+ Tregs. (G) Bar graphs showing the percentages of CD4+FOXP3+CD39+ and CD4+FOXP3+Helios+ Treg subsets. (H) Representative histograms of CTLA-4 expression in unstimulated CD4+FOXP3+ Tregs, with corresponding bar graphs of relative CTLA-4 expression normalized to HC. Black, HC; red, mother; blue, CTLA4S172P/S172P patient; purple, CTLA-4–insufficient patients. (I) Representative histograms and normalized bar graphs showing CTLA-4 expression in stimulated CD4+FOXP3+ Tregs. Black, HC; red, mother; blue, CTLA4S172P/S172P patient. (J) Representative histograms and relative bar graphs of recycling CTLA-4 expression in CD4+FOXP3+ Tregs, normalized to HC. Black, HC; red, mother; blue, CTLA4S172P/S172P patient. Open histograms indicate US conditions, whereas filled histograms indicate stimulated conditions. (K) CTLA-4 levels in HEK293T cells overexpressing WT or the S172P mutant CTLA-4. Data are from three independent experiments, normalized to WT. Statistical significance was determined by the Wilcoxon signed-rank test. ns = nonsignificant, *P < 0.05, **P < 0.01, ***P < 0.001 and ****P < 0.0001. MFI, mean fluorescence intensity; US, unstimulated; WT, wild-type; HC, healthy contol.
Panel A shows flow cytometry plots comparing frequencies of CD4-positive FOXP3-positive regulatory T cells across groups. Panel B shows a bar graph quantifying percentages of CD4-positive FOXP3-positive regulatory T cells examined. Panel C shows histogram overlays comparing CD25 and FOXP3 expression levels within regulatory T cells. Panel D shows bar graphs summarizing mean fluorescence intensities of CD25 and FOXP3 markers. Panel E shows stacked bar charts depicting proportions of CD25-positive and CD25-negative regulatory cells. Panel F shows flow cytometry plots illustrating CD39 expression within CD4-positive FOXP3-positive regulatory T cells. Panel G shows bar graphs quantifying CD39-positive and Helios-positive regulatory T-cell subpopulation frequencies. Panel H shows histograms and bar graphs comparing unstimulated CTLA-4 expression among study groups. Panel I shows histograms and bar graphs evaluating CTLA-4 expression following cellular stimulation. Panel J shows histograms and bar graphs assessing CTLA-4 recycling under unstimulated and stimulated conditions. Panel K shows a bar graph comparing CTLA-4 expression in wild-type and mutant-transfected HEK293T cells.
CTLA4 S172P/S172P variant disrupts CTLA-4 expression in CD4 + FOXP3 + Tregs. (A) Representative flow cytometry plot showing the frequency of CD4+FOXP3+ Tregs. (B) Bar graph depicting the percentages of CD4+FOXP3+ Tregs. (C) Representative histograms illustrating CD25 and FOXP3 expression levels within CD4+FOXP3+ Tregs. Indicated: gray, HC; blue, patient before abatacept (abt); purple, patient after abatacept (12 mo). (D) Bar graphs showing MFI of CD25 and FOXP3 in CD4+FOXP3+ Tregs. (E) Bar graph representing the proportion of CD25+ and CD25− cells within the CD4+FOXP3+ Treg compartment. Indicated: black, CD25+; gray, CD25−. (F) Representative flow cytometry plot of CD39 expression within CD4+FOXP3+ Tregs. (G) Bar graphs showing the percentages of CD4+FOXP3+CD39+ and CD4+FOXP3+Helios+ Treg subsets. (H) Representative histograms of CTLA-4 expression in unstimulated CD4+FOXP3+ Tregs, with corresponding bar graphs of relative CTLA-4 expression normalized to HC. Black, HC; red, mother; blue, CTLA4S172P/S172P patient; purple, CTLA-4–insufficient patients. (I) Representative histograms and normalized bar graphs showing CTLA-4 expression in stimulated CD4+FOXP3+ Tregs. Black, HC; red, mother; blue, CTLA4S172P/S172P patient. (J) Representative histograms and relative bar graphs of recycling CTLA-4 expression in CD4+FOXP3+ Tregs, normalized to HC. Black, HC; red, mother; blue, CTLA4S172P/S172P patient. Open histograms indicate US conditions, whereas filled histograms indicate stimulated conditions. (K) CTLA-4 levels in HEK293T cells overexpressing WT or the S172P mutant CTLA-4. Data are from three independent experiments, normalized to WT. Statistical significance was determined by the Wilcoxon signed-rank test. ns = nonsignificant, *P < 0.05, **P < 0.01, ***P < 0.001 and ****P < 0.0001. MFI, mean fluorescence intensity; US, unstimulated; WT, wild-type; HC, healthy contol.
We further assessed CTLA-4 expression on CD4+FOXP3+ Tregs to confirm the pathogenic impact of the homozygous S172P variant. The CTLA4S172P/S172P patient had dramatically diminished, but residual, total CTLA-4 expression under unstimulated conditions compared with the HC and the heterozygous mother (Fig. 2 H). Interestingly, CTLA-4 expression in CTLA-4–haploinsufficient (CTLA4+/−) patients was not significantly different from that of the homozygous S172P patient, albeit S172P expression tended to be slightly lower.
Upon T cell activation with αCD2/CD3/CD28-coated beads in the presence of IL-2 for 5 days, inducible CTLA-4 upregulation remained markedly impaired in the homozygous patient (Fig. 2 I), whereas the heterozygous mother upregulated CTLA-4 to levels comparable to HCs, potentially explaining the absence of clinical disease in heterozygotes. Cycling CTLA-4 expression was similarly reduced in patient Tregs (Fig. 2 J), indicating defective intracellular trafficking and/or protein stability.
To rule out the possibility that the p.S172P substitution merely affected the antibody binding affinity that we used for staining, we also orthogonally validated the diminished CTLA-4 expression via western blot. Analysis of whole-cell lysates from peripheral blood mononuclear cells (PBMCs) stimulated with anti-CD3/CD28 for 4 days showed a marked reduction in total CTLA-4 protein in the patient compared with healthy donors (Fig. S3 A). Together, flow cytometry and immunoblot analyses establish that the S172P variant results in a severe quantitative defect in CTLA-4 expression while retaining residual protein, consistent with a hypomorphic allele rather than a null one.
Panel A shows western blot images comparing LRBA, CTLA-4, and actin protein expression in activated peripheral blood mononuclear cell samples from healthy controls, mother, and patient. Panel B shows representative flow cytometry histograms demonstrating intracellular LRBA expression in whole blood samples. The histograms compare expression levels among a healthy control (HC), a patient with known LRBA deficiency, and the patient. The x-axis represents LRBA expression levels, and the y-axis represents the percentage of events of maximum. The isotype control histogram shows a peak at a low LRBA expression level. The HC histogram shows a peak at a high LRBA expression level. The LRBA-deficient patient histogram shows a peak at a low LRBA expression level, closer to the isotype control. The homozygous CTLA-4 S172P patient's histogram shows a peak with high LRBA expression, similar to the HC.Analysis of CTLA-4 and LRBA protein expression. (A) Western blot analysis of CTLA-4 and LRBA protein levels in PBMCs activated with anti-CD3/CD28 for 4 days. Protein extracts from HCs, the heterozygous mother, and the patient were evaluated. (B) Representative flow cytometry histograms demonstrating intracellular LRBA expression in whole blood samples. Expression levels are compared among an HC, a patient with known LRBA deficiency, and the patient. HC, healthy control. Source data are available for this figure: SourceData FS3.
Panel A shows western blot images comparing LRBA, CTLA-4, and actin protein expression in activated peripheral blood mononuclear cell samples from healthy controls, mother, and patient. Panel B shows representative flow cytometry histograms demonstrating intracellular LRBA expression in whole blood samples. The histograms compare expression levels among a healthy control (HC), a patient with known LRBA deficiency, and the patient. The x-axis represents LRBA expression levels, and the y-axis represents the percentage of events of maximum. The isotype control histogram shows a peak at a low LRBA expression level. The HC histogram shows a peak at a high LRBA expression level. The LRBA-deficient patient histogram shows a peak at a low LRBA expression level, closer to the isotype control. The homozygous CTLA-4 S172P patient's histogram shows a peak with high LRBA expression, similar to the HC.Analysis of CTLA-4 and LRBA protein expression. (A) Western blot analysis of CTLA-4 and LRBA protein levels in PBMCs activated with anti-CD3/CD28 for 4 days. Protein extracts from HCs, the heterozygous mother, and the patient were evaluated. (B) Representative flow cytometry histograms demonstrating intracellular LRBA expression in whole blood samples. Expression levels are compared among an HC, a patient with known LRBA deficiency, and the patient. HC, healthy control. Source data are available for this figure: SourceData FS3.
Given that profound defects in CTLA-4 expression can arise secondarily from autosomal recessive LRBA mutations, particularly in consanguineous pedigrees, we sought to definitively exclude an underlying LRBA defect. Western blot analysis revealed that LRBA protein expression in the patient was intact and comparable to both the heterozygous mother and healthy donors (Fig. S3 A). To further corroborate this finding, we evaluated intracellular LRBA expression via flow cytometry. The patient exhibited normal LRBA levels, comparable to HCs and markedly higher than a confirmed LRBA-deficient patient (Fig. S3 B). Collectively, these results confirm that the diminished CTLA-4 expression is a primary consequence of the homozygous CTLA4 variant rather than a secondary defect resulting from LRBA loss.
To further assess the impact of the S172P variant on CTLA4 protein expression, we cloned the variant and overexpressed both WT and the S172P mutant CTLA4 in HEK293T cells. Our analysis revealed that the S172P mutant is expressed but at reduced levels compared with WT CTLA4 (Fig. 2 K). These findings also confirm that the S172P variant is hypomorphic, retaining partial protein expression.
To evaluate the functional consequences of the variant on the extrinsic regulatory capacity of CTLA-4, we assessed its ability to capture and internalize CD80 via transendocytosis. The experimental workflow and principle of this assay are depicted in Fig. 3 A. Briefly, isolated CD4+ T cells were cocultured for 16 h with a Chinese hamster ovary (CHO) cell line stably expressing a CD80-mScarlet fusion protein and continuously stimulated with anti-CD2/CD3/CD28-coated beads. Following co-incubation, the intracellular accumulation of CD80-mScarlet was quantified specifically within the memory Treg compartment using flow cytometry. Consistent with diminished protein expression, patient memory Tregs exhibited a profound impairment in transendocytosis compared with the robust CD80 acquisition observed in HCs, demonstrating a dramatic and statistically significant reduction in internalized CD80-mScarlet levels (Fig. 3, B and C). These findings functionally confirm that the homozygous variant severely abrogates the suppressive capability of Tregs.
Panel A shows a schematic workflow illustrating the in vitro CD80 transendocytosis assay and lysosomal inhibition strategy. Panel B shows flow cytometry plots comparing CD80 internalization and CTLA-4-associated transendocytosis between healthy control and patient cells. Panel C shows bar graphs quantifying CD80 transendocytosis percentages and mean fluorescence intensity of internalized CD80. Panel D shows proliferation histograms comparing stimulated CD4-positive T-cell responses in healthy control and patient samples. Panel E shows bar graphs depicting percentages of proliferating CD4-positive T cells under different culture conditions. Panel F shows histograms comparing CD25 expression levels on stimulated and unstimulated CD4-positive T cells. Panel G shows bar graphs summarizing mean fluorescence intensity values of CD25 expression across experimental conditions.
CTLA4 S172P/S172P variant severely impairs CD80 transendocytosis and drives CD4 + T cell hyperproliferation. (A) Schematic representation depicting the principle of the in vitro CD80 transendocytosis assay. (B) Representative flow cytometry plots showing CD80 internalization in cells from a HC versus the patient. (C) Quantitative bar graphs showing the percentages of CD80 transendocytosis and the MFI of CD80 uptake. (D) Representative histograms showing proliferation of CD4+ T cells isolated from HC and patient after 4-day coculture with mitomycin C–treated APC-Raji cells. (E) Bar graph depicting the percentages of proliferating CD4+ T cells. (F) Representative histograms of CD25 expression on CD4+ T cells after stimulation. (G) Bar graphs showing the mean MFI of CD25 expression on CD4+ T cells. In panel C, an unpaired t test was used to analyze significance. **P < 0.01. MFI, mean fluorescence intensity; APC, antigen-presenting cells; HC, healthy control, US, unstimulated; S, stimulated; CHO, chinese hamster ovary.
Panel A shows a schematic workflow illustrating the in vitro CD80 transendocytosis assay and lysosomal inhibition strategy. Panel B shows flow cytometry plots comparing CD80 internalization and CTLA-4-associated transendocytosis between healthy control and patient cells. Panel C shows bar graphs quantifying CD80 transendocytosis percentages and mean fluorescence intensity of internalized CD80. Panel D shows proliferation histograms comparing stimulated CD4-positive T-cell responses in healthy control and patient samples. Panel E shows bar graphs depicting percentages of proliferating CD4-positive T cells under different culture conditions. Panel F shows histograms comparing CD25 expression levels on stimulated and unstimulated CD4-positive T cells. Panel G shows bar graphs summarizing mean fluorescence intensity values of CD25 expression across experimental conditions.
CTLA4 S172P/S172P variant severely impairs CD80 transendocytosis and drives CD4 + T cell hyperproliferation. (A) Schematic representation depicting the principle of the in vitro CD80 transendocytosis assay. (B) Representative flow cytometry plots showing CD80 internalization in cells from a HC versus the patient. (C) Quantitative bar graphs showing the percentages of CD80 transendocytosis and the MFI of CD80 uptake. (D) Representative histograms showing proliferation of CD4+ T cells isolated from HC and patient after 4-day coculture with mitomycin C–treated APC-Raji cells. (E) Bar graph depicting the percentages of proliferating CD4+ T cells. (F) Representative histograms of CD25 expression on CD4+ T cells after stimulation. (G) Bar graphs showing the mean MFI of CD25 expression on CD4+ T cells. In panel C, an unpaired t test was used to analyze significance. **P < 0.01. MFI, mean fluorescence intensity; APC, antigen-presenting cells; HC, healthy control, US, unstimulated; S, stimulated; CHO, chinese hamster ovary.
To assess T cell activation driven by CTLA-4 deficiency, CD4+ T cells were isolated using a magnetic bead separation method and subsequently cocultured with mitomycin C–treated APC/Raji B cells (J159A; Promega). In this setting, the patient’s CD4+ T cells exhibited increased proliferation and CD25 expression compared with those of HCs (Fig. 3, D–G). The addition of abatacept to the coculture led to a pronounced reduction of both proliferative responses and CD25 upregulation, indicating effective inhibition of excessive costimulatory signaling (Fig. 3, D–G). These results suggest that the loss of CTLA-4 expression underlies the hyperproliferative phenotype observed in the patient.
Enhanced CTLA-4 degradation caused by the CTLA4S172P/S172P variant was reversed upon lysosomal degradation inhibition
We investigated the mechanism underlying CTLA-4 reduction by assessing CTLA-4 protein stability. To determine the protein’s half-life, a cycloheximide (CHX) chase assay was performed. PBMCs from the CTLA4S172P/S172P patient and HCs were expanded with αCD2/CD3/CD28-coated beads in the presence of IL-2 for 5 days. Following activation, cells were treated with CHX (30 µg/ml) and subsequently fixed, permeabilized, and stained for CD3, CD4, FOXP3, and CTLA-4 at 0, 2, 4, and 6 h.
CTLA-4 degradation kinetics revealed a significantly accelerated loss of CTLA-4 in the patient’s Tregs compared with both HC and the heterozygous mother (Fig. 4 A), indicating reduced protein stability associated with the S172P variant.
Panel A shows a line graph tracking relative CTLA-4 degradation across multiple experimental time points. Panel B shows bar graphs comparing relative CTLA-4 expression after inhibitor treatments under different conditions. Panel C shows histograms illustrating CTLA-4 expression changes following chloroquine treatment in peripheral blood mononuclear cells. Panel D shows bar graphs quantifying CTLA-4 expression levels after chloroquine treatment relative controls. Panel E shows a bar graph depicting CTLA-4 fold-change following chloroquine treatment across conditions. Panel F shows bar graphs comparing CTLA-4 fold-change after inhibitor treatments and experimental manipulations. Panel G shows immunoblot images assessing endoplasmic reticulum stress marker expression in transfected cells.CTLA4S172P/S172Pvariant accelerates the lysosomal degradation of CTLA-4. (A) PBMCs were treated with 30 μg/ml CHX for up to 4 h at 37°C and stained for total CTLA-4. The graph shows total CTLA-4 expression relative to 0 h, indicating relative CTLA-4 degradation. (B) Relative CTLA-4 expression after 6 h of CHX treatment with or without chloroquine and MG-132, normalized to HCs. (C) Representative histograms showing CTLA-4 expression in PBMCs treated with chloroquine for 6 h compared with untreated conditions. (D) Bar graphs illustrating CTLA-4 expression after 6 h of chloroquine treatment, normalized to HC. (E) Fold change in CTLA-4 expression after 6 h of chloroquine treatment, normalized to untreated conditions. (F) Bar graphs showing CTLA-4 fold change following 6 h of CHX treatment with or without chloroquine or MG-132, normalized to untreated conditions. (G) Immunoblot analysis of the ER stress marker BiP in cells transfected with WT CTLA-4 and two independent S172P mutant clones. GAPDH was used as a loading control. Statistical significance was assessed using two-way ANOVA with Tukey’s post hoc test for Panels (A, B, and D). In panel F, one-way ANOVA with Tukey’s post hoc test was used to analyze significance. ns = nonsignificant, *P < 0.05, **P < 0.01, ***P < 0.001, **** P < 0.0001. ER, endoplasmic reticulum; HC, healthy control; WT, wild-type; Mut, mutant; col, colony; CHX, cycloheximide; CQ, chloroquine. Source data are available for this figure: SourceData F4.
Panel A shows a line graph tracking relative CTLA-4 degradation across multiple experimental time points. Panel B shows bar graphs comparing relative CTLA-4 expression after inhibitor treatments under different conditions. Panel C shows histograms illustrating CTLA-4 expression changes following chloroquine treatment in peripheral blood mononuclear cells. Panel D shows bar graphs quantifying CTLA-4 expression levels after chloroquine treatment relative controls. Panel E shows a bar graph depicting CTLA-4 fold-change following chloroquine treatment across conditions. Panel F shows bar graphs comparing CTLA-4 fold-change after inhibitor treatments and experimental manipulations. Panel G shows immunoblot images assessing endoplasmic reticulum stress marker expression in transfected cells.CTLA4S172P/S172Pvariant accelerates the lysosomal degradation of CTLA-4. (A) PBMCs were treated with 30 μg/ml CHX for up to 4 h at 37°C and stained for total CTLA-4. The graph shows total CTLA-4 expression relative to 0 h, indicating relative CTLA-4 degradation. (B) Relative CTLA-4 expression after 6 h of CHX treatment with or without chloroquine and MG-132, normalized to HCs. (C) Representative histograms showing CTLA-4 expression in PBMCs treated with chloroquine for 6 h compared with untreated conditions. (D) Bar graphs illustrating CTLA-4 expression after 6 h of chloroquine treatment, normalized to HC. (E) Fold change in CTLA-4 expression after 6 h of chloroquine treatment, normalized to untreated conditions. (F) Bar graphs showing CTLA-4 fold change following 6 h of CHX treatment with or without chloroquine or MG-132, normalized to untreated conditions. (G) Immunoblot analysis of the ER stress marker BiP in cells transfected with WT CTLA-4 and two independent S172P mutant clones. GAPDH was used as a loading control. Statistical significance was assessed using two-way ANOVA with Tukey’s post hoc test for Panels (A, B, and D). In panel F, one-way ANOVA with Tukey’s post hoc test was used to analyze significance. ns = nonsignificant, *P < 0.05, **P < 0.01, ***P < 0.001, **** P < 0.0001. ER, endoplasmic reticulum; HC, healthy control; WT, wild-type; Mut, mutant; col, colony; CHX, cycloheximide; CQ, chloroquine. Source data are available for this figure: SourceData F4.
To delineate the degradation pathway, activated T cells were treated with the lysosomal inhibitor chloroquine (50 µM) or the proteasomal inhibitor MG-132 (10 µM) for 6 h, in the presence or absence of CHX. MG-132 had no significant effect on CTLA-4 expression, whereas chloroquine treatment resulted in a marked increase in CTLA-4 levels in the patient’s Tregs (Fig. 4, B–F), indicating preferential lysosomal degradation.
Notably, while chloroquine substantially restored CTLA-4 expression in the patient’s cells, it had minimal impact on cells from the heterozygous mother and HC. This suggests that in the heterozygous state, CTLA-4 is not subject to enhanced lysosomal degradation, consistent with preserved protein stability.
We next sought to define the upstream cellular pathways that route mutant CTLA-4 to the lysosome. Hypothesizing that the p.S172P variant induces structural misfolding, we evaluated markers of endoplasmic reticulum stress. Indeed, ectopic expression of the S172P mutant induced higher levels of the chaperone protein BiP compared with WT CTLA-4. These findings, robustly confirmed across three separate transfections utilizing two independently derived mutant clones, suggest that the misfolded mutant protein activates the unfolded protein response, leading to its subsequent lysosomal degradation (Fig. 4 G).
Abatacept treatment corrects T follicular helper cells, and memory T and B cell dysregulation driven by the CTLA4S172P/S172P variant
PBMCs from a CTLA4S172P/S172P patient were analyzed to assess immune cell phenotypes at baseline and 12 mo following abatacept therapy. We have previously reported that CTLA4+/− patients exhibit an increased frequency of circulating T follicular helper (cTFH) cells with elevated PD-1 expression, indicative of aberrant activation (21, 25). Consistent with these findings, the CTLA4S172P/S172P patient demonstrated markedly expanded cTFH cells with high PD-1 expression, which progressively normalized under abatacept treatment (Fig. 5, A–C). Phenotypic profiling further revealed that these dysregulated cTFH cells were skewed toward a T helper (TH) 1–like (CXCR3+CCR6−) phenotype, while TH2-like (CXCR3−CCR6−) and TH17-like (CXCR3−CCR6+) subsets were diminished (Fig. 5, D and E). Notably, abatacept treatment gradually corrected this imbalance, with the most pronounced recovery observed in the TH17-like compartment (Fig. 5, D and E).
Panel A shows flow cytometry plots comparing CXCR5-positive PD-1-positive circulating follicular helper T-cell frequencies across study groups. Panel B shows a bar graph quantifying frequencies of CXCR5-positive PD-1-positive circulating follicular helper T cells. Panel C shows histograms and bar graphs comparing PD-1 expression levels on circulating follicular helper T cells. Panel D shows flow cytometry plots illustrating circulating follicular helper T-cell subset distributions based on chemokine receptors. Panel E shows bar graphs quantifying type 1, type 2, and type 17 circulating follicular helper subsets. Panel F shows flow cytometry plots depicting naïve, central memory, effector memory, and EMRA T-cell compartments. Panel G shows bar graphs summarizing memory and naïve T-cell subset distributions within CD4-positive and CD8-positive populations. Panel H shows bar graphs comparing frequencies of recent thymic emigrants within conventional and regulatory T-cell populations. Panel I shows flow cytometry plots illustrating CD39 expression within CD4-positive FOXP3-negative conventional T cells. Panel J shows flow cytometry plots comparing Helios expression within CD4-positive FOXP3-negative conventional T cells. Panel K shows bar graphs quantifying frequencies of CD39-positive and Helios-positive conventional T-cell populations. Panel L shows flow cytometry plots illustrating interferon-gamma-producing CD4-positive T-cell frequencies across study groups. Panel M shows bar graphs comparing frequencies of cytokine-producing CD4-positive and CD8-positive T-cell populations.
Abatacept restores T cell homeostasis disrupted by the CTLA4 S172P/S172P variant. (A) Representative flow cytometry plots of CXCR5+PD-1+ cTFH cells comparing HCs, mother, and patient before and after abatacept treatment (12 mo). (B) Percentages of CXCR5+PD-1+ cTFH cell frequencies across HC, mother, and patient before and after abatacept (12 mo). (C) Representative histograms showing PD-1 MFI on CXCR5+ cTFH cells, with bar graphs summarizing MFI values in HC, mother, and patient before and after abatacept (abt) (12 mo). (D) Representative plots depicting cTFH subset distribution based on TH1 (CXCR3+CCR6−), TH2 (CXCR3−CCR6−), and TH17 (CXCR3−CCR6+) phenotypes in all donors. (E) Bar graphs showing the percentages of TH1, TH2, and TH17 cTFH subsets in HC, mother, and patient before and after abatacept therapy. (F) Representative plots illustrating CD4+FOXP3− Tcon cell differentiation into naïve (CD45RA+CCR7+), central memory (CD45RA−CCR7+), effector memory (CD45RA−CCR7−), and EMRA (CD45RA+CCR7−) compartments across the donors. (G) Bar graphs depicting the percentages of naïve, central memory, effector memory, and EMRA CD4+FOXP3− Tcon and CD8+ T cells in HC, mother, and patient before and after abatacept. (H) Frequencies of recent thymic emigrants (CD3+CD45RA+CD31+) within CD4+FOXP3− Tcon and CD4+FOXP3+ Tregs across all donors. (I) Representative plots of CD39 expression within CD4+FOXP3− Tcon cells in HC, mother, and patient before and after treatment. (J) Representative plots showing Helios expression in CD4+FOXP3− Tcon cells across donors and treatment conditions. (K) Bar graphs showing the percentages of CD39+ and Helios+ Tcon cells in HC, mother, and patient before and after abatacept. (L) Representative flow cytometry plots of IFN-γ+ CD4+ T cells across HC, mother, and patient before and after abatacept. (M) Bar graphs showing the proportions of cytokine-producing T cells (CD4+IFN-γ+, CD4+IL-10+, CD4+IL-4+, CD4+IL-17A+, and CD8+IFN-γ+) in HC, mother, and patient before and after abatacept. HC, healthy control, MFI, mean fluorescence intensity.
Panel A shows flow cytometry plots comparing CXCR5-positive PD-1-positive circulating follicular helper T-cell frequencies across study groups. Panel B shows a bar graph quantifying frequencies of CXCR5-positive PD-1-positive circulating follicular helper T cells. Panel C shows histograms and bar graphs comparing PD-1 expression levels on circulating follicular helper T cells. Panel D shows flow cytometry plots illustrating circulating follicular helper T-cell subset distributions based on chemokine receptors. Panel E shows bar graphs quantifying type 1, type 2, and type 17 circulating follicular helper subsets. Panel F shows flow cytometry plots depicting naïve, central memory, effector memory, and EMRA T-cell compartments. Panel G shows bar graphs summarizing memory and naïve T-cell subset distributions within CD4-positive and CD8-positive populations. Panel H shows bar graphs comparing frequencies of recent thymic emigrants within conventional and regulatory T-cell populations. Panel I shows flow cytometry plots illustrating CD39 expression within CD4-positive FOXP3-negative conventional T cells. Panel J shows flow cytometry plots comparing Helios expression within CD4-positive FOXP3-negative conventional T cells. Panel K shows bar graphs quantifying frequencies of CD39-positive and Helios-positive conventional T-cell populations. Panel L shows flow cytometry plots illustrating interferon-gamma-producing CD4-positive T-cell frequencies across study groups. Panel M shows bar graphs comparing frequencies of cytokine-producing CD4-positive and CD8-positive T-cell populations.
Abatacept restores T cell homeostasis disrupted by the CTLA4 S172P/S172P variant. (A) Representative flow cytometry plots of CXCR5+PD-1+ cTFH cells comparing HCs, mother, and patient before and after abatacept treatment (12 mo). (B) Percentages of CXCR5+PD-1+ cTFH cell frequencies across HC, mother, and patient before and after abatacept (12 mo). (C) Representative histograms showing PD-1 MFI on CXCR5+ cTFH cells, with bar graphs summarizing MFI values in HC, mother, and patient before and after abatacept (abt) (12 mo). (D) Representative plots depicting cTFH subset distribution based on TH1 (CXCR3+CCR6−), TH2 (CXCR3−CCR6−), and TH17 (CXCR3−CCR6+) phenotypes in all donors. (E) Bar graphs showing the percentages of TH1, TH2, and TH17 cTFH subsets in HC, mother, and patient before and after abatacept therapy. (F) Representative plots illustrating CD4+FOXP3− Tcon cell differentiation into naïve (CD45RA+CCR7+), central memory (CD45RA−CCR7+), effector memory (CD45RA−CCR7−), and EMRA (CD45RA+CCR7−) compartments across the donors. (G) Bar graphs depicting the percentages of naïve, central memory, effector memory, and EMRA CD4+FOXP3− Tcon and CD8+ T cells in HC, mother, and patient before and after abatacept. (H) Frequencies of recent thymic emigrants (CD3+CD45RA+CD31+) within CD4+FOXP3− Tcon and CD4+FOXP3+ Tregs across all donors. (I) Representative plots of CD39 expression within CD4+FOXP3− Tcon cells in HC, mother, and patient before and after treatment. (J) Representative plots showing Helios expression in CD4+FOXP3− Tcon cells across donors and treatment conditions. (K) Bar graphs showing the percentages of CD39+ and Helios+ Tcon cells in HC, mother, and patient before and after abatacept. (L) Representative flow cytometry plots of IFN-γ+ CD4+ T cells across HC, mother, and patient before and after abatacept. (M) Bar graphs showing the proportions of cytokine-producing T cells (CD4+IFN-γ+, CD4+IL-10+, CD4+IL-4+, CD4+IL-17A+, and CD8+IFN-γ+) in HC, mother, and patient before and after abatacept. HC, healthy control, MFI, mean fluorescence intensity.
At baseline, the CTLA4S172P/S172P patient exhibited elevated frequencies of effector memory (EM; CD45RA−CCR7−) and effector memory RA (EMRA; CD45RA+CCR7−) T cells, along with a marked reduction in the naïve T cell pool, across conventional CD4+ T helper (Tcon), Treg, and CD8+ T cell subsets (Fig. 5, F and G; and Fig. S4 A). These cell types also displayed a decreased proportion of CD31+ recent thymic emigrants, suggesting impaired thymic output or homeostatic imbalance (Fig. 5 H and Fig. S4 B). Significantly, these aberrant phenotypes were progressively normalized following abatacept therapy (Fig. 5, F–H; and Fig. S4, A and B). Additionally, we examined the expression of CD39 and Helios on Tcon cells. We found that the CTLA4S172P/S172P patient had a markedly elevated frequency of CD39 and Helios, and this phenotype was profoundly normalized following treatment (Fig. 5, I–K).
Panel A shows four bar graphs. The x-axis represents different groups: HC, Mother, Baseline, and Post abatacept. The y-axis represents the percentage of each T-cell subset. Panel B shows one bar graph depicting the proportion of CD31-positive CD45RA-positive naïve CD4-positive T cells. The x-axis represents different groups: HC, Mother, Baseline, and Post abatacept. The y-axis represents the percentage of CD31-positive CD45RA-positive naïve CD4-positive T cells. The graphs show changes in T-cell populations before and after abatacept treatment.
Changes in T cell population with abatacept treatment. (A) Frequencies of Treg subsets, including naïve (CD4+FOXP3+CD45RA+CCR7+), central memory (CD4+FOXP3+CD45RA−CCR7+), effector memory (CD4+FOXP3+CD45RA−CCR7−), and effector memory RA (CD4+FOXP3+CD45RA+CCR7−) populations, are shown for HC, mother, and the patient before and after treatment. (B) Proportion of CD8+CD45RA+CD31+ T cells in HC, mother, and the patient before and after treatment. HC, healthy control.
Panel A shows four bar graphs. The x-axis represents different groups: HC, Mother, Baseline, and Post abatacept. The y-axis represents the percentage of each T-cell subset. Panel B shows one bar graph depicting the proportion of CD31-positive CD45RA-positive naïve CD4-positive T cells. The x-axis represents different groups: HC, Mother, Baseline, and Post abatacept. The y-axis represents the percentage of CD31-positive CD45RA-positive naïve CD4-positive T cells. The graphs show changes in T-cell populations before and after abatacept treatment.
Changes in T cell population with abatacept treatment. (A) Frequencies of Treg subsets, including naïve (CD4+FOXP3+CD45RA+CCR7+), central memory (CD4+FOXP3+CD45RA−CCR7+), effector memory (CD4+FOXP3+CD45RA−CCR7−), and effector memory RA (CD4+FOXP3+CD45RA+CCR7−) populations, are shown for HC, mother, and the patient before and after treatment. (B) Proportion of CD8+CD45RA+CD31+ T cells in HC, mother, and the patient before and after treatment. HC, healthy control.
Additionally, we evaluated intracellular cytokine production in the patient’s CD4+ and CD8+ T cells. Our previous study demonstrated that CTLA4+/− patients exhibit elevated production of IFN-γ and IL-10 by CD4+ T cells, both of which were markedly reduced following abatacept therapy (21). Consistently, in the CTLA4S172P/S172P patient, a similar cytokine pattern was observed, with increased IFN-γ and IL-10 production by CD4+ T cells that declined upon treatment (Fig. 5, L and M). Moreover, IL-4 and IL-17A production by CD4+ T cells was initially within the normal range but was likewise reduced after therapy, reflecting a comparable immunomodulatory response to CTLA4-Ig–mediated costimulatory blockade (Fig. 5 M). Furthermore, IFN-γ production of CD8+ T cells was elevated at baseline; however, abatacept therapy restored this aberrant cytokine response (Fig. 5 M). These results indicate that abatacept effectively corrects dysregulated cytokine responses in the patient.
Furthermore, we performed detailed immunophenotyping of B cells, and the gating strategy is presented in Fig. S5. CTLA4S172P/S172P patient revealed an expansion of naïve B cell (CD19+CD27−IgD+) frequency accompanied by a reduction in class-switched (CD19+CD27+IgD−) and unswitched memory (CD19+CD27+IgD+) B cell frequency with a slight decrease in plasmablasts (CD19+CD10−CD24lowCD38high) (Fig. 6, A and B). Abatacept therapy had no significant effect on the distribution of these major B cell subtypes (Fig. 6, A and B). Detailed phenotypic analysis of naïve B cells showed that activated naïve B cells (CD19+CD10−IgD+CD27−CD21−CD11c+) were increased, while resting naïve B cells (CD19+CD10−IgD+CD27−CD21+CD11c−) were decreased (Fig. 6, C and D). Similarly, within the memory B cell compartment, atypical (CD19+CD10−CD38lowIgM-IgD-CD21−CD27−) and activated memory B (CD19+CD10−CD27+CD21−CD11c+) cells were notably elevated, while resting memory B cells (CD19+CD10−CD27+CD21+CD11c−) were diminished, and intermediate memory B cells (CD19+CD10−CD38lowIgM−IgD−CD21+CD27−) remained comparable to HCs (Fig. 6 D). Moreover, CD21lowCD38low B and CD21lowCD11c+ cells were elevated before the abatacept therapy (Fig. 6, E and F). CD21lowCD38low B cells correlate positively with TH1-like cTFH cells (Fig. 6 G). However, these dysregulated B cell phenotypes were restored by the abatacept therapy (Fig. 6, A–F). Furthermore, abatacept treatment corrected the reduction in double-negative (DN) 1 B cells (CD19+CD10-IgD−CD27−CD21+CD11c−) and normalized the expansion of DN2 B cells (CD19+CD10−IgD−CD27−CD21−CD11c+), whereas DN3 B cells (CD19+CD10−IgD−CD27−CD21−CD11c−) persisted at elevated frequencies despite therapy (Fig. 6 H).
A scatter plot shows singlets with forward scatter height (FSC-H) on the horizontal axis and forward scatter area (FSC-A) on the vertical axis. A scatter plot shows live cells with side scatter area (SSC-A) on the vertical axis and a viability dye (FVD) on the horizontal axis. A scatter plot shows CD19-positive B cells with side scatter area (SSC-A) on the vertical axis and CD19 on the horizontal axis. A scatter plot shows naïve, unswitched memory (USM), and class-switched memory (CSM) B cells with immunoglobulin D (IgD) on the vertical axis and CD27 on the horizontal axis. A scatter plot shows memory B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive CD10-negative B cells with immunoglobulin D (IgD) on the vertical axis and CD27 on the horizontal axis. A scatter plot shows CD19-positive B cells with CD10 on the vertical axis and forward scatter height (FSC-H) on the horizontal axis. A scatter plot shows CD19-positive B cells with CD38 on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive B cells with CD38 on the vertical axis and CD21 on the horizontal axis. A scatter plot shows double-negative (DN) B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows naïve B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive CD10-negative B cells with CD38 on the vertical axis and CD24 on the horizontal axis. A scatter plot shows non-plasmablasts (Non-PB) and plasmablasts (PB) with CD38 on the vertical axis and CD24 on the horizontal axis. A scatter plot shows class-switched (CS) B cells with immunoglobulin M (IgM) on the vertical axis and immunoglobulin D (IgD) on the horizontal axis. A scatter plot shows class-switched (CS) B cells with CD27 on the vertical axis and CD21 on the horizontal axis.
Gating strategy for B cell immunophenotyping by flow cytometry. USM, unswitched memory; CSM, class-switched memory; CS, class-switched; PB, plasmablast; DN, double-negative; FVD, fixable viability dye.
A scatter plot shows singlets with forward scatter height (FSC-H) on the horizontal axis and forward scatter area (FSC-A) on the vertical axis. A scatter plot shows live cells with side scatter area (SSC-A) on the vertical axis and a viability dye (FVD) on the horizontal axis. A scatter plot shows CD19-positive B cells with side scatter area (SSC-A) on the vertical axis and CD19 on the horizontal axis. A scatter plot shows naïve, unswitched memory (USM), and class-switched memory (CSM) B cells with immunoglobulin D (IgD) on the vertical axis and CD27 on the horizontal axis. A scatter plot shows memory B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive CD10-negative B cells with immunoglobulin D (IgD) on the vertical axis and CD27 on the horizontal axis. A scatter plot shows CD19-positive B cells with CD10 on the vertical axis and forward scatter height (FSC-H) on the horizontal axis. A scatter plot shows CD19-positive B cells with CD38 on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive B cells with CD38 on the vertical axis and CD21 on the horizontal axis. A scatter plot shows double-negative (DN) B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows naïve B cells with CD11c on the vertical axis and CD21 on the horizontal axis. A scatter plot shows CD19-positive CD10-negative B cells with CD38 on the vertical axis and CD24 on the horizontal axis. A scatter plot shows non-plasmablasts (Non-PB) and plasmablasts (PB) with CD38 on the vertical axis and CD24 on the horizontal axis. A scatter plot shows class-switched (CS) B cells with immunoglobulin M (IgM) on the vertical axis and immunoglobulin D (IgD) on the horizontal axis. A scatter plot shows class-switched (CS) B cells with CD27 on the vertical axis and CD21 on the horizontal axis.
Gating strategy for B cell immunophenotyping by flow cytometry. USM, unswitched memory; CSM, class-switched memory; CS, class-switched; PB, plasmablast; DN, double-negative; FVD, fixable viability dye.
Panel A shows scatter plots of B-cell subsets gated on CD19-positive B cells, with axes labeled immunoglobulin D (IgD) and CD27, comparing healthy controls (HC), mothers, and patients before and after abatacept treatment. Panel B presents bar graphs displaying the percentages of naïve, class-switched memory, unswitched memory B cells, and plasmablasts among HC, mothers, and patients pre- and post-treatment. Panel C includes scatter plots of activated naïve B cells and resting naïve B cells, with axes labeled CD21 and CD11c, comparing HC, mothers, and patients before and after abatacept treatment. Panel D shows bar graphs depicting the proportions of various B-cell subsets among donors. Panel E presents scatter plots of CD19-positive CD21-low CD38-low B cells, with axes labeled CD21 and CD38, comparing HC, mothers, and patients before and after abatacept treatment. Panel F includes bar charts showing percentages (percentages) of CD21-low CD38-low B cells and CD21-low CD11c-positive B cells among HC, mothers, and patients before and after abatacept treatment. Panel G shows a scatter plot for correlation analysis between type 1-like circulating follicular helper T cells and CD21-low CD38-low B-cell frequencies, with axes labeled type 1-like circulating follicular helper T cells (percentages) and CD21-low CD38-low B cells (percentages). Panel H presents bar graphs analyzing the distribution of DN1, DN2, and DN3 B-cell subsets across all donors before and after abatacept treatment.
Abatacept partially normalizes B cell phenotype and reduces activated cell subsets in the CTLA4 S172P/S172P patient. (A) Representative plots illustrate naïve B cells (IgD+CD27−), class-switched memory B cells (IgD−CD27+), and unswitched memory B cells (IgD+CD27+) across HCs, mothers, and patients before and after abatacept treatment (12 mo). (B) Bar charts display the percentages of naïve, class-switched memory, unswitched memory B cells, and plasmablasts in HC, mothers, and patients before and after treatment. (C) Representative plots show activated naïve B cells (CD19+CD10−IgD+CD27−CD21−CD11c+) and resting naïve B cells (CD19+CD10−IgD+CD27−CD21+CD11c−). (D) Bar graphs depict the proportions of activated naïve, resting naïve, activated memory, resting memory, atypical memory, and intermediate memory B cells among donors. (E) Representative plots illustrate CD19+CD21lowCD38low B cells. (F) Bar charts show percentages of CD21lowCD38low B cells and CD21lowCD11c+ B cells in HC, mothers, and patients before and after abatacept. (G) Correlation analysis between TH1-like cTFH cells and CD21lowCD38low B cell frequencies was performed using Spearman’s correlation. The color codes are blue for patient before abatacept, purple for patient after abatacept, red for mother, and black for HC. (H) Distribution of DN1, DN2, and DN3 B cell subsets across all donors is analyzed before and after abatacept treatment.
Panel A shows scatter plots of B-cell subsets gated on CD19-positive B cells, with axes labeled immunoglobulin D (IgD) and CD27, comparing healthy controls (HC), mothers, and patients before and after abatacept treatment. Panel B presents bar graphs displaying the percentages of naïve, class-switched memory, unswitched memory B cells, and plasmablasts among HC, mothers, and patients pre- and post-treatment. Panel C includes scatter plots of activated naïve B cells and resting naïve B cells, with axes labeled CD21 and CD11c, comparing HC, mothers, and patients before and after abatacept treatment. Panel D shows bar graphs depicting the proportions of various B-cell subsets among donors. Panel E presents scatter plots of CD19-positive CD21-low CD38-low B cells, with axes labeled CD21 and CD38, comparing HC, mothers, and patients before and after abatacept treatment. Panel F includes bar charts showing percentages (percentages) of CD21-low CD38-low B cells and CD21-low CD11c-positive B cells among HC, mothers, and patients before and after abatacept treatment. Panel G shows a scatter plot for correlation analysis between type 1-like circulating follicular helper T cells and CD21-low CD38-low B-cell frequencies, with axes labeled type 1-like circulating follicular helper T cells (percentages) and CD21-low CD38-low B cells (percentages). Panel H presents bar graphs analyzing the distribution of DN1, DN2, and DN3 B-cell subsets across all donors before and after abatacept treatment.
Abatacept partially normalizes B cell phenotype and reduces activated cell subsets in the CTLA4 S172P/S172P patient. (A) Representative plots illustrate naïve B cells (IgD+CD27−), class-switched memory B cells (IgD−CD27+), and unswitched memory B cells (IgD+CD27+) across HCs, mothers, and patients before and after abatacept treatment (12 mo). (B) Bar charts display the percentages of naïve, class-switched memory, unswitched memory B cells, and plasmablasts in HC, mothers, and patients before and after treatment. (C) Representative plots show activated naïve B cells (CD19+CD10−IgD+CD27−CD21−CD11c+) and resting naïve B cells (CD19+CD10−IgD+CD27−CD21+CD11c−). (D) Bar graphs depict the proportions of activated naïve, resting naïve, activated memory, resting memory, atypical memory, and intermediate memory B cells among donors. (E) Representative plots illustrate CD19+CD21lowCD38low B cells. (F) Bar charts show percentages of CD21lowCD38low B cells and CD21lowCD11c+ B cells in HC, mothers, and patients before and after abatacept. (G) Correlation analysis between TH1-like cTFH cells and CD21lowCD38low B cell frequencies was performed using Spearman’s correlation. The color codes are blue for patient before abatacept, purple for patient after abatacept, red for mother, and black for HC. (H) Distribution of DN1, DN2, and DN3 B cell subsets across all donors is analyzed before and after abatacept treatment.
Discussion
CTLA-4 is a critical inhibitory receptor that regulates T cell activation and maintains immune homeostasis. Heterozygous LoF mutations in CTLA4 cause CTLA-4 insufficiency, leading to variably penetrant immune dysregulation; however, biallelic CTLA-4 deficiency has not previously been documented in humans. Human CTLA-4 insufficiency was first described in 2014, and since then, several heterozygous variants have been reported. In 2026, approximately a decade later, we report one of the first known cases of a homozygous CTLA4 variant. Notably, the p.S172P substitution is hypomorphic rather than null, as it allows partial CTLA-4 expression. These findings also imply that complete homozygous loss of CTLA4 function is likely incompatible with life in humans. In our patient, the homozygous S172P variant resulted in immune dysregulation characterized by hyperactivation of T and B cells and dysregulated cytokine production. Remarkably, abatacept therapy effectively restored immunological balance, emphasizing the indispensable role of CTLA-4 signaling in maintaining human immune tolerance.
Our patient exhibits a phenotype that is markedly distinct from that observed in homozygous Ctla4-deficient mouse models. While Ctla4 knockout mice develop fatal lymphoproliferation characterized by extensive T cell infiltration and multi-organ tissue destruction within weeks of birth (12, 13, 14), our patient presented with a comparatively attenuated, nonlethal phenotype. This discrepancy likely reflects minimal residual CTLA-4 expression, which may still maintain partial immune homeostasis. Despite a homozygous genotype, clinical and immunological manifestations closely resemble those observed in individuals with heterozygous CTLA-4 insufficiency (15, 16, 17), thereby suggesting that CTLA-4 dosage critically influences the threshold between survival and immune dysregulation.
Patients possessing a homozygous CTLA4 variant should be monitored in a manner consistent with that employed for individuals with LRBA deficiency and CTLA-4 insufficiency. Although the underlying molecular mechanisms differ, both conditions ultimately impair CTLA-4–mediated inhibitory signaling and lead to immune dysregulation (15, 16, 28). Consequently, clinical management should incorporate a multidisciplinary approach that encompasses immunological, rheumatological, and gastroenterological follow-up. Furthermore, biomarkers such as elevated cTFH and TH1 responses, which decrease following abatacept therapy (21, 25, 28, 29, 30), may function as shared indicators for disease activity and therapeutic efficacy across these disorders.
The homozygous missense variant (S172P) disrupts CTLA-4 protein stability, resulting in enhanced lysosomal degradation. Treatment with the lysosomal inhibitors restored CTLA-4 expression, indicating that the variant accelerates lysosomal turnover rather than impairing synthesis. Mechanistically, this degradation pattern resembles the defective trafficking observed in LRBA-deficient cells (28, 31), suggesting that impaired protection of CTLA-4 from lysosomal degradation may represent a shared pathogenic mechanism.
Elevated expression of Helios and CD39 was observed in both Tcon and Tregs in the patient, accompanied by increased Treg frequency and enhanced IL-10 production. Helios is a crucial protein for the stability and functional capacity of Tregs (32, 33). These findings suggest the activation of a compensatory immunoregulatory mechanism in response to decreased CTLA-4 expression, which may contribute to the relatively mild clinical phenotype observed. A similar phenotype has been documented in adult mice with Treg-specific deletion of CTLA-4, in which both FOXP3+ and FOXP3- T cells exhibited elevated levels of IL-10 expression (34). Notably, the increased expression of Helios and CD39 in Tcon cells may also reflect chronic T cell activation, consistent with reports indicating that CD39 is upregulated in exhausted T cells (35, 36).
In our patient, B cells exhibited a dysregulated phenotype characterized by an expansion of activated and atypical memory B cells, alongside a reduction in resting memory B cells. There was a significant increase in CD21low CD38low B cells, aligning with chronic immune activation and a shift toward extrafollicular and exhausted B cell phenotypes, as documented in systemic autoimmunity (37, 38, 39, 40, 41, 42, 43). The proliferation of DN2 B cells, which display extrafollicular characteristics, differentiate into plasma cells, and are closely related to activated naïve B cells, is observed in patients with systemic lupus erythematosus (43, 44). This profile suggests ongoing antigenic stimulation and compromised regulatory control over B cell activation. The simultaneous elevation of TH1-like TFH cells indicates a skewed helper phenotype that correlates positively with the expansion of CD21low B cells (45) but does not promote B cell survival or class switching (46). Overall, these findings imply that a pro-inflammatory environment fosters the expansion of atypical/exhausted B cells while depleting resting memory and naïve B cell populations, thereby contributing to immune dysregulation characteristic of chronic autoimmune states. Notably, abatacept treatment appeared to control chronic immune activation, accompanied by partial normalization of the B cell compartment, suggesting that restoring CTLA-4–mediated inhibition can help resolve persistent immune dysregulation.
In conclusion, the characterization of homozygous CTLA-4 deficiency provides the first comprehensive overview of its clinical and immunological spectrum. The condition presents as T cell hyperactivation combined with significant B cell dysregulation. These alterations indicate ongoing immune activation and disrupted regulatory control over adaptive immunity. Notably, treatment with abatacept effectively restored immune balance, normalizing both T and B cell phenotypes, and highlights the potential of targeted immunomodulatory therapy in managing CTLA-4–related immune dysregulation.
Materials and methods
Study design
A boy with a homozygous CTLA4 variant was enrolled in this study. Ethical approval was obtained from Marmara University, and written informed consent was obtained from all participants. Baseline demographic, clinical, and immunological data were collected prospectively. Immunological assessments encompassed lymphocyte subset profiling, B and T cell subset analysis, cTFH enumeration, intracellular cytokine analysis, recycling and intracellular CTLA-4 staining, CTLA-4 degradation assay with CHX, CTLA-4 rescue assay with MG132, and chloroquine treatment. To precisely capture the immunological impact of the treatment, changes in lymphocyte subsets (including Tregs, cTFH cells, and B cell subtypes) and cytokine levels were evaluated at two strictly defined time points. Baseline evaluation was performed in the absence of systemic corticosteroids and immunomodulatory agents. The follow-up assessment was conducted after 12 mo of abatacept therapy, at which stage the patient was on abatacept monotherapy (supplemented only by supportive IVIG and antimicrobial prophylaxis).
Antibodies and flow cytometry
Comprehensive multiparametric flow cytometry was performed to characterize lymphocyte populations, including T and B cell subsets, Tregs, and cTFH cells. Detailed phenotypic profiling of CD4+ and CD8+ T cells was conducted to define TH1, TH2, and TH17 lineages, as well as naïve, central memory, effector memory, and terminally differentiated effector populations, and to evaluate CD31 expression. Intracellular cytokine staining was performed following in vitro stimulation to assess functional responses. The fluorochrome-conjugated monoclonal antibodies used for surface and intracellular staining are listed in Table S2. Peripheral blood lymphocyte subset analyses were performed by flow cytometry as described previously (25, 30). For lymphocyte subset analysis, 100 μl of whole blood or 5 × 105 PBMCs were incubated with mAbs against surface markers for 20 min in the dark at room temperature. For whole-blood staining, red cells were lysed and washed before acquisition. For intracellular markers such as Helios, CTLA-4, and FOXP3, cells were fixed and permeabilized using eBioscience Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific), then stained with fluorochrome-conjugated specific antibodies for 1 h. For intracellular LRBA staining, heparinized whole blood was fixed and permeabilized using IntraPrep Permeabilization Reagent (Beckman Coulter). The samples were then incubated with a rabbit anti-human LRBA polyclonal primary antibody (1:100 dilution; Sigma-Aldrich) for 30 min at 4°C. Subsequently, the cells were stained with a secondary FITC-conjugated anti-rabbit IgG antibody (1:500 dilution; Thermo Fisher Scientific) for an additional 30 min at 4°C. For intracellular cytokine detection (IL-4, IL-17A, IL-10, and IFN-γ), cell suspensions (1 × 106 cells) were stimulated with PMA (50 ng/ml) and ionomycin (1 μg/ml) in the presence of a protein transport inhibitor containing monensin and brefeldin A (BD Biosciences) for 5 h. After stimulation, cells were washed twice and stained for surface markers (CD4, CD8, and CD45RO). Fixed cell pellets were then permeabilized in a saponin-containing buffer (Thermo Fisher Scientific) and incubated with fluorochrome-conjugated, cytokine-specific antibodies for 45 min. All stained samples were acquired using a Navios EX flow cytometer (Beckman Coulter) and analyzed with FlowJo software (TreeStar).
CD4+ T cell isolation, proliferation, and transendocytosis assay
CD4+ T cells were isolated from PBMCs using MojoSort Human CD4+ T Cell Isolation Kit (BioLegend) according to the manufacturer’s instructions. APC-Raji B cells (J159A; Promega) were resuspended in complete RPMI and treated with 20 µg/ml mitomycin C (BML-GR311; Enzo Life Sciences) at 37°C for 30 min. For the T cell proliferation assay, isolated CD4+ T cells were labeled with CellTrace Violet (Thermo Fisher Scientific). CD4+ T cells (2 × 105) were cocultured with mitomycin C–treated APC-Raji B cells at a 2:1 ratio for 4 days. Following stimulation, cells were stained with APC-A700 CD4 (13B8.2, BC) and PC5.5 CD25 (B1.49.9, BC) and acquired on a Navios EX flow cytometer (Beckman Coulter).
To evaluate the transendocytosis capacity of CTLA-4, we utilized a CHO cell line stably expressing a CD80-mScarlet fusion protein. These CHO cells have previously been published (47) and were kindly provided by Prof. Bodo Grimbacher from Center for Chronic Immunodeficiency, University of Freiburg, Germany. Briefly, isolated CD4+ T cells were cocultured with the CD80-mScarlet–expressing CHO cells for 16 h under continuous stimulation with anti-CD2/CD3/CD28-coated beads (T Cell Activation/Expansion Kit, Miltenyi Biotec) in the presence of 30 µM chloroquine to prevent the lysosomal degradation of internalized CD80. Following co-incubation, the cells were harvested and surface-stained with APC-A700 anti-CD4 (clone 13B8.2; Beckman Coulter) and APC-A750 anti-CD45RA (clone 2H4; Beckman Coulter). The cells were then fixed and permeabilized using eBioscience Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific) according to the manufacturer’s protocol. Intracellular staining was subsequently performed using APC anti-CTLA-4 (clone BNI3; BioLegend) and eFluor 450 anti-FOXP3 (clone PCH101; Thermo Fisher Scientific) antibodies. Finally, the intracellular acquisition of CD80-mScarlet, along with the phenotypic markers, was acquired and quantified utilizing a CytoFLEX flow cytometer (Beckman Coulter).
Cycling and intracellular CTLA-4 staining
PBMCs were stimulated with anti-CD3/anti-CD28 (1 μg/ml each) in 96-well plates for 3 days. Cells (2 × 105) were stained with APC-A700 CD4 (13B8.2, BC) antibody and incubated for 1 h at 37°C and 5% CO2. For cycling staining, PE CTLA4 (BNI3, BC) was also added. After incubation, cells were fixed and permeabilized with eBioscience Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific). Alexa Fluor 647 FOXP3 (259D; BD Biosciences) and PE CTLA4 (BNI3, BC) were used for intracellular staining and incubated for 45 min. All stained cells were acquired using a Navios EX cytometer (Beckman Coulter) and analyzed by FlowJo software (TreeStar).
CTLA-4 degradation and rescue assay
PBMCs were stimulated with anti-CD3 and anti-CD28 antibodies (each at 1 μg/ml) for 5 days, with 50 U/ml IL-2 added on day 3. To assess CTLA-4 protein degradation and estimate its half-life, cells were cultured at 37°C in 5% CO2 with CHX (30 μg/ml) (Sigma-Aldrich) for time points of 0, 2, and 4 h. For rescue experiments, cells were treated with chloroquine (50 μM) (Sigma-Aldrich) in the presence or absence of CHX, and with MG-132 (10 μM) (Sigma-Aldrich) in combination with CHX only, for 6 h. After treatment, cells were stained with Fixable Viability Dye eFluor 506 (Thermo Fisher Scientific) and APC-A700 CD4 (13B8.2, BC), followed by fixation and permeabilization using eBioscience Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific). Intracellular staining was conducted with Alexa Fluor 647 FOXP3 (259D; BD Biosciences) and PE CTLA-4 (BNI3, BC) for 45 min. CTLA-4 protein levels were measured in CD4+FOXP3+ cells using a Navios EX flow cytometer (Beckman Coulter).
Immunoblot analysis
To assess LRBA and CTLA-4 expression in activated T cells, PBMCs activated with anti-CD3/CD28 for 4 days were lysed in an optimized buffer for 30 min on ice and cleared by centrifugation (15,000 rpm, 10 min, 4°C). Lysates were separated on a 4–15% Tris-glycine gradient gel and transferred to 0.45-µm polyvinylidene difluoride (PVDF) membranes. Membranes were blocked with 5% nonfat milk in phosphate-buffered saline with Tween 20 (PBS-T) and probed overnight at 4°C with rabbit anti-human LRBA (1:1,000; HPA023597; Sigma-Aldrich) and anti-CTLA-4 (clone F-8; Santa Cruz Biotechnology) primary antibodies. Following washes, blots were incubated with secondary antibodies for 1 h at room temperature and visualized using enhanced chemiluminescence.
To assess CTLA-4 effect on BiP expression, HEK293T cells overexpressing WT or S172P CTLA-4 were lysed, separated on 4–15% Tris-glycine gels, and transferred to PVDF membranes. Blots were probed with rabbit anti-DsRed (GTX59862; GeneTex) and rabbit anti-BiP (3177; Cell Signaling) antibodies.
Generation of the CTLA4-DsRed-N1-S172P mutant construct
The c.514T>C mutation was introduced to the CTLA4-DsRed-N1 expression vector, kindly provided by Prof. Michael Lenardo (National Institutes of Health, Bethesda, MD, USA) (15) using the QuikChange Lightning Site–Directed Mutagenesis Kit (#210518; Agilent) following the manufacturer’s protocol. The following primer pair was used to introduce the mutation:
5′-AAAACAACCCCGGACTAACTGCTGCAAGGATCCAGA-3′.
5′- TCTGGATCCTTGCAGCAGTTAGTCCGGGGTTGTTTT-3′.
Colonies positive for the mutation were confirmed by Sanger sequencing using the following primers:
F1: 5′-CATCCCTGTCTTCTGCAAAGC-3′.
R1: 5′-GCTTTGCAGAAGACAGGGATG-3′.
F2: 5′- CCAACAGAGCCAGAATGTG-3′.
R2: 5′-CCATCATGTAGGTTGCCG-3′.
Two independently generated site-directed mutagenesis clones, each carrying the identical mutation, were used to perform overexpression experiments.
CTLA-4 overexpression experiment
HEK239T cells (ATCC) were cultured in DMEM supplemented with 10% FBS and 100 U/ml penicillin/100 μg/ml streptomycin. TurboFect Transfection Reagent (#R0531; Thermo Fisher Scientific) was used to transiently transfect cells with 1 μg of CTLA4-DsRed-N1 or CTLA4-DsRed-N1-S172P. 48 h after transfection, cells were washed and surface CTLA4 was stained using APC-conjugated anti-CTLA4 antibody (#555855; BD Pharmingen). LIVE/DEAD Fixable Aqua Dead Cell Stain Kit was used to stain dead cells (#L34957; Thermo Fisher Scientific). Cells were then collected and run on ACEA NovoCyte (model 2010050) flow cytometer to assess DsRed expression and APC staining intensity. APC MFI was assessed on DsRed-positive cells and normalized to the levels from WT transfected cells in each independent experiment.
WGS analysis
Genomic DNAs from patient and family members were whole genome–sequenced using the Illumina sequencing platform to an average depth of 30 reads per base in the Integrated Genomics Services Core Facility at Sidra Medicine. Reads were mapped to the human genome reference version hg19 using the Burrows–Wheeler Aligner. The Genome Analysis Toolkit (GATK) HaplotypeCaller was used for variant calling of single-nucleotide variants and indels. GATK Variant Quality Score Recalibration was used for variant quality filtering, and annotation was performed using SnpEff/SnpSift. Variants were prioritized based on quality scores, mode of inheritance, allele frequency below 0.01 in gnomAD, in silico deleteriousness predictions (CADD, SIFT, PolyPhen, MutationTaster), and relevance to the patient phenotype.
Sanger sequencing
DNeasy Blood and Tissue Kit (#69504; Qiagen) was used to extract gDNA from PBMCs following the manufacturer’s instructions. Sanger sequencing was performed using the primer pair: 5′-GGCTACCCATGCAATTTAGG-3′ and 5′-AACTCAACATCATCTTTTGGCC-3′. Sequences were analyzed using Unipro UGENE software.
Structural evolutionary analysis
The structural and evolutionary analysis of the identified variant was performed using a combination of sequence- and structure-based tools. The corresponding protein sequence was first analyzed by BLAST against the NCBI Reference Sequence protein database to identify homologous sequences. The resulting sequences were exported in FASTA format and aligned using Clustal Omega v1.2.4 (48, 49, 50). The multiple sequence alignment was visualized with ConSurf (51) to assess residue conservation. The predicted three-dimensional structure of the protein was obtained from the AlphaFold Protein Structure Database (52, 53). Structural visualization and analyses were performed using UCSF ChimeraX v1.10.1 (54).
Statistical analysis
Data were expressed as the mean ± SD or median (minimum–maximum) based on distribution characteristics. One-way or two-way ANOVA with Tukey’s post hoc analysis and unpaired t tests were used for between-group comparisons, as appropriate. Statistical analyses were conducted using GraphPad Prism 10 (GraphPad Software Inc.).
Online supplemental material
The provided supplemental materials present a comprehensive molecular and immunological characterization of the patient’s CTLA4 variant, alongside their therapeutic response to abatacept. Genomic analyses, encompassing the WGS and Sanger sequencing data shown in Fig. S1 and Fig. S2, validate the familial segregation of the homozygous CTLA4 variant in the index patient and heterozygous carriage in the parents. Additionally, Table S1 details other candidate variants identified via WGS. The functional consequences of this variant are demonstrated in Fig. S3 through comparative evaluations of CTLA-4 and LRBA protein expression levels among the patient, the heterozygous mother, and HCs. Clinically, Fig. S4 longitudinally maps the immunomodulatory efficacy of abatacept treatment by illustrating the pre- and posttreatment frequencies of Treg and naïve T cell subpopulations. Finally, the methodological framework underpinning these cellular analyses is established through the B cell immunophenotyping gating strategy outlined in Fig. S5 and the comprehensive inventory of utilized flow cytometry antibodies provided in Table S2.
Ethical disclosure
The study protocol was approved by the local ethics committee of Marmara University, and written informed consent was obtained from all patients according to Good Clinical Practice guidelines.
Data availability
The data generated during the study are included in this published article and its supplementary files.
Acknowledgments
The authors gratefully acknowledge the Integrated Genomics Services Core Facility at Sidra Medicine for providing WGS and bioinformatics services. We thank Prof. Bodo Grimbacher (University Hospital Freiburg, Germany) for kindly providing the CHO-mScarlet-CD80 cell line under Material Transfer Agreement (TMT250063). Additionally, we extend our appreciation to Jona Dioso for her excellent technical assistance.
This work was supported by a grant from the Marmara University Scientific Research Project Coordination Unit (ADT-2022-10661), Scientific and Technological Research Council of Turkey (325N113), and the Jeffrey Modell Foundation to S. Baris and by Sidra Medicine (IRF 2022) and the Path towards Precision Medicine Grant No. PPM 05–0419-210008 from the Qatar National Research Fund and Qatar Genome Program (a member of The Qatar Foundation) to B. Lo. The findings herein reflects the work, and are solely the responsibility of the authors.
Author contributions: Mehmet Cihangir Catak: conceptualization, data curation, formal analysis, investigation, methodology, validation, visualization, and writing—original draft, review, and editing. Salim Can: resources and writing—original draft. Satanay Hubrack: investigation and methodology. Feyza Bayram Catak: investigation and methodology. Asha Elmi: investigation and methodology. Royala Babayeva: resources. Razin Amirov: resources. Melek Yorgun Altunbas: resources. Sevgi Bilgic Eltan: resources. Deniz Ertem: resources. Baris Yilmaz: resources. Ahmet Koc: resources. Batu Erman: investigation and methodology. Emine Bozkurtlar: methodology and resources. Elif Karakoc-Aydiner: resources. Ahmet Ozen: resources. Bernice Lo: conceptualization, funding acquisition, investigation, methodology, supervision, and writing—original draft, review, and editing. Safa Baris: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, visualization, and writing—original draft, review, and editing.
References
Author notes
B. Lo and S. Baris contributed equally to this paper.
Disclosures: The authors declare no competing interests exist.

