Abstract
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Immunologic and Genetic Contributors to CD46-Dependent Immune Dysregulation
Abstract
Mutations in CD46 predispose to atypical hemolytic uremic syndrome (aHUS) with low penetrance. Factors driving immune-dysregulatory disease in individual mutation carriers have remained ill-understood. In addition to its role as a negative regulator of the complement system, CD46 modifies T cell-intrinsic metabolic adaptation and cytokine production. Comparative immunologic analysis of diseased vs. healthy CD46 mutation carriers has not been performed in detail yet. In this study, we comprehensively analyzed clinical, molecular, immune-phenotypic, cytokine secretion, immune-metabolic, and genetic profiles in healthy vs. diseased individuals carrying a rare, heterozygous CD46 mutation identified within a large single family. Five out of six studied individuals carried a CD46 gene splice-site mutation causing an in-frame deletion of 21 base pairs. One child suffered from aHUS and his paternal uncle manifested with adult-onset systemic lupus erythematosus (SLE). Three mutation carriers had no clinical evidence of CD46-related disease to date. CD4+ T cell-intrinsic CD46 expression was uniformly 50%-reduced but was comparable in diseased vs. healthy mutation carriers. Reconstitution experiments defined the 21-base pair-deleted CD46 variant as intracellularly—but not surface-expressed and haploinsufficient. Both healthy and diseased mutation carriers displayed reduced CD46-dependent T cell mitochondrial adaptation. Diseased mutation carriers had lower peripheral regulatory T cell (Treg) frequencies and carried potentially epistatic, private rare variants in other inborn errors of immunity (IEI)-associated proinflammatory genes, not found in healthy mutation carriers. In conclusion, low Treg and rare non-CD46 immune-gene variants may contribute to clinically manifest CD46 haploinsufficiency-associated immune-dysregulation.
Supplementary Information
The online version contains supplementary material available at 10.1007/s10875-023-01547-y.
Introduction
CD46 (membrane cofactor protein, MCP) is a type I transmembrane protein expressed on nearly all human nucleated cells and capable of binding specifically to the complement activation fragments C3b and C4b [1]. The CD46 gene is located within a cluster of complement regulatory genes at chromosome 1q3.2 [2]. CD46 and other complement regulatory proteins contain multiple repeats of a complement control protein domain (CCP) that contains binding sites for complement C3b, C4b, and/or factor I [3]. CD46 possesses cofactor activity in that it binds factor I, a plasma serine protease that proteolytically inactivates CD46-bound C3b and C4b. In addition to its co-factor activity, CD46 has important immune-modulatory activity. CD46 co-stimulation not only enforces IFN-γ production of CD4+ T helper cells and T helper type 1 (Th1) cell differentiation, but also mediates the Th1 contraction program, driving induced-Treg (iTreg) differentiation [4, 5]. The latter is enforced by the T cell activation-induced recruitment of CD46 to the immune synapse requiring its serine- threonine- and proline-rich STD region [6]. The initial Th1 induction by CD46 is controlled by an interaction with the Notch-1 ligand Jagged-1 [7]. CD46 has also important CD8+ T cell intrinsic functions guaranteeing normal IFN-γ secretion and cytotoxicity [8]. CD46, engaged by autocrine C3b, controls immune-metabolic adaptations during T cell activation, such as induction of the amino acid transporter LAT1, the glucose transporter GLUT1 and LAMTOR5 which assembles the amino acid sensing Ragulator-Rag-mTORC1 complex [9]. There is no expression of CD46 in somatic tissues of rodents, including mice [10], precluding the analysis of in vivo consequences of human CD46 mutations in the murine system.
aHUS is a life-threatening, acute disease characterized by flares of thrombotic microangiopathy (TMA) in the kidney and other organs related to the uncontrolled activation of the alternative complement pathway [11–18]. Rare germline mutations in several complement proteins including regulatory factors predispose to aHUS via loss- or gain-of function mechanisms (Table (Table11).
Table 1
Gene | Inheritance | Functional consequnce of mutation | Proportion among atypical HUS patients |
---|---|---|---|
CFHR1/CFHR4 deletion | AR | Autoantibodies inactivating CFH | 26.5% |
CFH | AD | LOF | 20% |
CD46 | AD | LOF | 10% |
CFI | AD | LOF | 6% |
C3 | AD | GOF | 5% |
CFH/CFHR1 hybrid allele | AD | LOF | 3–5% |
THBD | AD | LOF | 2–5% |
CFB | AD | GOF | 2% |
Proportions are derived from a recently updated gene review [14]
Heterozygous loss-of-function human CD46 mutations have been demonstrated to account for 5–20% of all aHUS cases with high rates of recurrence after the first flare [19]. The complement C5-inhibiting monoclonal antibody (mAb) eculizumab is effective in treatment of aHUS underpinning that complement activation is mediating the disease [20]. However, not all CD46 mutations linked to aHUS were located in its extracellular domain, implying that the intracellular signaling cascade regulating the metabolism of T (and possibly other) cells might be involved in aHUS disease [3]. The clinical penetrance in carriers of disease-associated CD46 mutations is 30–50% [3, 21], the reason for this being insufficiently understood. Known triggers inducing aHUS flares in individuals carrying predisposing mutations are inflammation (infections or vaccinations), medication (e.g., cyclosporine), malignancy, pregnancy and transplantation [22]. CD46 mutations have also been—albeit less consistently—linked to other immune-dysregulatory diseases, such as systemic lupus erythematosus (SLE) [3], common variable immunodeficiency (CVID)-like antibody deficiency [7] as well as pregnancy-related preeclampsia [3].
To date, no in-depth immunologic analysis including CD46 gene/protein regulation in mutation carriers within one family has been performed, which we aimed for in the present study.
Methods
Study of Human Subjects
The work was carried out in accordance with the Declaration of Helsinki for experiments involving human subjects. All tested individuals were following informed consent enrolled into our prospective cohort study of the functional and genetic architecture of primary immunodeficiencies, which has been approved by the ethical committee of northwestern and central Switzerland (EKNZ 2015-187).
Diagnostic Immunophenotyping and Serum Complement Activity Assays
Serum immunoglobulin levels and lymphocyte subpopulations were assessed as previously described [23]. Functional assessment of specific complement pathways in serum was performed using a well validated ELISA-based format [24].
Genomic DNA Isolation and cDNA Synthesis from RNA
Genomic DNA was isolated from cultured PHA T cell blasts using the QIAmp DNA blood Mini Kit. RNA was isolated from peripheral blood mononuclear cells (PBMCs) using Trizol (Thermo Fisher Scientific) for cell lysis. Chloroform (Sigma-Aldrich) was added and lysates were centrifuged for 15 min at 4°C 14’000 g according to the manufacturer’s protocol. RNA was purified with the QIAamp RNA Blood Mini Kit (Qiagen). RNA concentration was determined using the NanoDrop 2000c (Thermo Fisher Scientific). DNA was digested with DNase I (Promega). 100 ng/μl–1 μg/μl of RNA were used for cDNA synthesis. Random primers (Promega) were annealed at 70°C for 5 min. cDNA synthesis was performed according to the Qiagen’s GoScript Reverse Transcription System protocol in a TProfessional TRIO PCR Thermocycler (Core Life Sciences, Laguna Niquel, CA, USA).
End-Point PCR
Endpoint PCR was performed in a TProfessional TRIO PCR Thermocycler using the GoTaq G2 Polymerase (Promega) with a primer concentration of 0.5 μM and using DNA input template of 50–100 ng / 50 μl PCR reaction. PCR products were separated on a 1.5% agarose gel for the genomic DNA PCR or on a 2.8% agarose gel for the cDNA PCR. PCR bands were cut and DNA was isolated using the Quiaquick Gel Extraction Kit (Qiagen). Sanger sequencing was performed by Microsynth (St.Gallen, Switzerland). In CD46 mutation carriers, there was a 21-nucleotide deletion (GTAAGCCCCCAATATGTGAAA) detected skipping part of exon four.
Real-Time PCR
Real time PCR was performed using the syber green-based GoTag qPCR Master Mix (promega) on an Applied Biosystem ViiA 7 real time PCR machine with 0.5 μM primer concentration. Gene expression was normalized to ACTB/GAPDH using the calculation method designed by Michael W. Pfaffl [25].
PCR Primers
All primers were designed using the NCBI primer blast web tool (https://www.ncbi.nlm.nih.gov/tools/primer-blast/) and ordered as DNA oligos from Microsynth. The forward primer of the wild type (WT) and mutant CD46 real-time primer pair was set into the deleted part of exon 4.
Genomic DNA PCR detecting CD46 mutation:
- Fw
- AAGAAACCACCCCCTCAAACTA
- Rev
- CTCGGTGCTAGTTAAGAAATCCT
cDNA PCR detecting CD46 deletion:
- Fw
- GGAGCCACCAACATTTGAAGC
- Rev
- CAGACAATTGTGTCGCTGCC
Primers for real-time PCR:
Wild type CD46:
- Fw
- AGCGGTAAGCCCCCAATATG
- Rev
- TCCAGGTGCAGGATCACAAC
Mutant CD46:
- Fw
- AGTAGCAATTTGGAGCGAGG
- Rev
- TCCAGGTGCAGGATCACAAC
ACTB:
- Fw
- CGA GCA CAG AGC CTC GCC TT
- Rev
- CAT CAT CCA TGG TGA GCT GGC G
GAPDH:
- WT
- CCATGAGAAGTATGACAACAGCC
- Rev
- GGGTGCTAAGCAGTTGGTG
Antibodies and Reagents
Antibodies to CD3 (OKT-3) and CD46 (TRA-2-10) for CD4+ T cell in vitro stimulation were kindly provided by Claudia Kemper (NHLBI/NIH). Agonistic anti-human CD28 (CD28.2) for co-stimulation was purchased from BD (Franklin Lakes, NJ, USA). Anti-human antibodies for flow cytometry are listed in the corresponding section. Mitotracker red/green/deep red dyes were purchased from Thermo Fisher (Waltham, MA, USA). Compounds for mitochondrial perturbation (oligomycin, FCCP and rotenone) were obtained from Sigma Aldrich (St. Louis, MO, USA).
CD4+ T Cell Purification and In Vitro Activation
PBMCs were isolated from freshly-drawn blood by centrifugation on after layering onto Lymphoprep separation medium (Corning, Vienna, VA). CD4+ T cells were then enriched by MACS separation using the MACS human CD4+ Positive T cell Isolation Kit (Miltenyi Biotech, Bergisch Gladbach, Germany) according to the manufacturer’s instructions. Purity of isolated CD4+ T lymphocytes was typically > 97%. Purified CD4+ T cells were either analyzed directly after isolation (ex vivo) or activated for 36 h in 48-well culture plates (Greiner, Monroe, NC) at a density of 2.5–5.0 × 105 cells/well in media containing 50 U/ml recombinant human IL-2 at 37oC and 5% CO2. 2 μg/ml stimulating antibodies (anti-CD3, anti-CD28 or anti-CD46 in the depicted combinations) were immobilized overnight at 4oC on culture plates before CD4+ T cell plating.
Flow Cytometry
Freshly purified or stimulated CD4+ T cells were washed twice with FACS buffer, stained with a PE-conjugated anti-CD46 antibody (8E2, 1:50) (eBioscience/Thermo Fisher, San Diego, CA, USA) for 15 min at room temperature and washed twice with FACS buffer. For binding specificity mapping, PBMCs were stained similarly with anti-CD46-PE [TRA-2-10 (Biolegend, San Diego, CA, USA), E4.3 (BD), 8E2 (eBioscience), 1:100], anti-CD46-FITC (MEM-258, Biolegend, 1:100) or via a two-step stain of anti-CD46 GB24 mAb (10 μg/ml, kindly provided by Claudia Kemper) and rat anti-mouse IgG1-FITC (RMG1-1, 1:100, Biolegend). Mouse IgG1 isotype-PE (3.6.2.8.1, eBioscience; MOPC-21, Biolegend) and mouse IgG2a-PE (clone G155-178, BD) were used for isotype control staining. For ex vivo activation marker analysis, cells were laid in culture for 36 h and surface-stained with anti-CD3-Brilliant Violet 510 (UCHT1), anti-CD4-APC (SK3), anti-CD8-Brilliant Violet 421 (SK1), anti-4-1BB-PE-Cy7 (4B4-1) (from Biolegend), Fixable Viability Dye eFluor 780 and anti-OX40-PE (ACT-235) (from eBioscience).
Intracellular FoxP3 staining was performed on PBMCs with eBioscience FoxP3/transcription factor staining kit (eBioscience/Thermo Fisher) with anti-human FoxP3-PE (PCH-101) and rat IgG2a isotype control-PE (eBR2a) (from eBioscience), with prior surface co-staining of anti-CD127-APC (A019D5), anti-CD25-FITC (BC96), anti-CD8-Brilliant Violet 421 (SK1), anti-CD4-PE-Cy7 (SK3) and anti-CD3-Brilliant Violet 510 (UCHT1) (from Biolegend).
For mitotracker staining, freshly purified or stimulated CD4+ T cells were resuspended in 100 μl pre-warmed FACS buffer and 100 μl warm staining solution was added (FACS buffer containing mitotracker red or green and mitotracker deep red stain (100nM each) [23]. Cells were stained for 20 min at 37oC, then washed 2 × with complete medium and 1 × with FACS buffer.
Samples were subsequently resuspended in FACS buffer and analyzed on the Accuri C6 cytometer (BD) or Cytoflex LX (Beckman Coulter, Brea, CA, USA). Data analysis was conducted using the FlowJo 10.0.8 software (FlowJo).
CD46 Protein Structure Prediction
A brouser-adapted Alphafold2 (ColabFold v1.5.2) [26] -based structure prediction of del21bp CD46-translated product was performed on 30 March 2023 with NP_758861.1 membrane cofactor protein isoform 3 precursor [Homo sapiens] utilized as the WT CD46 query.
Cytokine Measurements
Accumulated cytokine levels in the supernatant of purified CD4+ T cells stimulated for 36 h were assessed using the LEGENDplex human Th1 panel (Biolegend) according to the manufacturer’s instructions and analyzed on the Accuri C6 cytometer (BD). Data analysis was conducted using the FlowJo 10.0.8 software (FlowJo).
CD46 Reconstitution Assay
A transient CD46 overexpression of 21 base pair-deleted (del21bp) vs. WT CD46 GFP reporter/CMV-promotor pRP[Exp]-EGFP/Puro-CAG>hCD46[NM_172359.2] vectors (VectorBuilder, Chicago, IL, USA) was performed on a CD46-knocked out human myeloid HAP-1 cell line (Horizon Discovery, Cambridge, UK). Cells were maintained in Iscove's Modified Dulbecco's Medium (IMDM) (Gibco/Thermo Fisher) supplemented with 10% fetal bovine serum (FBS) (Cytiva, Marlborough, MA, USA) and 1% penicillin/streptomycin (Gibco/Thermo Fisher). To obtain the del21bp CD46 vector, the WT plasmid was subjected to KOD-plus-mediated site-directed mutagenesis (Toyobo, Osaka, Japan) and isolated for single colonies with the following primers:
- Fw
- 5'-CAGTAGCAATTTGGAGCGAGGTTTTGTGTACACCAC-3'
- Rev
- 5'-GTGGTGTACACAAAACCTCGCTCCAAATTGCTACTG-3'
The designed mutant plasmid was purified with Endofree Maxi plasmid purification kit (Qiagen, Hilden, Germany) and Sanger-sequenced for the full CD46 region to confirm correct mutagenesis. 1.0 × 105 of CD46-knocked out HAP-1 cells were transfected with WT and/or del21bp CD46 vectors using Lipofectamine 3000 (Thermo Fisher) in 24-well flat-bottomed plates (Falcon/Corning) for 24 hours, and subsequently stained with anti-human CD46-PE (clone E4.3) for surface and intracellular expression analysis. Intracellular staining was performed with Cytofix/Cytoperm kit (BD). Samples were analyzed on FACS Lyric cytometer (BD) and data were analyzed with FlowJo 10.0.8 software (BD/FlowJo).
Measurement of Oxygen Consumption Rate (OCR) and Extracellular Acidification Rate (ECAR)
Stimulated CD4+ T cells were resuspended in serum-free unbuffered RPMI-1640 medium (Sigma Aldrich) and were plated onto Cell-Tak-coated (Corning, Reinach, Switzerland) XF96 Seahorse plates (Seahorse Bioscience, North Billerica, MA, USA) in triplicates at a density of 2.5x105 viable cells per well. The Seahorse cartridge injection ports were loaded with oligomycin (1 μM), Carbonyl cyanide-4-(trifluoromethoxy) phenylhydrazone (FCCP, 2 μM) or rotenone (1 μM—all from Sigma Aldrich), respectively, and metabolic profiles were measured on a Seahorse XF96 Extracellular Flux analyzer (Seahorse Bioscience).
Metabolic parameters were calculated as follows:
basal OCR (total OCR, mitochondrial and non-mitochondrial) = OCR before mitochondrial perturbation
basal respiration = basal/total OCR – OCR after rotenone injection
Non-mitochondrial respiration = OCR after rotenone injection
ATP coupled respiration = basal/total OCR – OCR after oligomycine injection
Leak respiration = OCR after oligomycine injection – OCR after rotenone injection
maximal respiratory capacity = OCR peak after FCCP injection – OCR after rotenone injection
basal ECAR = initial ECAR before mitochondrial perturbation
maximal ECAR = ECAR peak after mitochondrial perturbation
Whole Exome Sequencing
Whole exome sequencing has been performed as recently described [23]. Rare immunodeficiency associated mutations were screened using the list of primary immunodeficiencies that has been recently reported [27]. All reported variants have been confirmed by genome viewer. Immunodeficiency-related gene variants were listed when the CADD Score was >15 and the minor allele frequency listed in gnomad (https://gnomad.broadinstitute.org) was <0.01. All listed variants had a sequencing coverage >25 with the exception of the TNFRSF4 and STXBP2 variants, where the coverage was <20 but the heterozygous variants were confirmed by integrated genome viewer (IGV).
NIHR BioResource Rare Diseases Project Database Analysis
The NIHR Bioresource Rare Disease project has provided whole genome sequencing data for more than 10’000 individuals with rare diseases [28]. We selected the rare exonic variants in the whole genome sequencing (WGS) data set of 13’037 individuals in a pre-defined set of PID/IEI genes [29], which were present in participants carrying rare CD46 variants, defining rare as absent from gnomAD at frequencies above 1/1,000 in all major populations, and selecting only variants having a CADD Phred score of at least 15. The listed CD46 variants have been linked to CD46 dependent human disease [15].
Statistical Analyses
Two-tailed unpaired t tests and one-way analysis of variance (ANOVA) were performed on Prism 8.4.3 (San Diego, CA, USA) with a significance value of p < 0.05.
Results
Heterozygous CD46 c.475+1G>A Splice-Site Variant in a Large Family with aHUS and SLE-Diseased Individuals
Whole exome sequencing (WES) analysis identified five individuals from a large family that carried a rare heterozygous CD46 variant c.475+1G>A (rs753486842) (Figs. (Figs.11 and and2).2). Two of the mutation carriers had a clinical history of a CD46-associated immune dysregulation, while the other three mutation carriers did not develop CD46-associated disease as of today (clinical history, Supplemental Table 1). The pediatric patient, family member Nr.6 (Fig. (Fig.1a),1a), had been diagnosed with aHUS at our institution in 2006 at the age of 4 years. The clinical and laboratory characteristics upon admission and of four additional flares of aHUS, all with complete remission, are displayed in Supplemental Figure 1 and Supplemental Table 2. The time interval between aHUS flares was generally increasing, while duration of hospitalization and need of peritoneal dialysis was shortening with each flare (Supplemental Figure 1). A paternal uncle, family member Nr.5 (Fig. (Fig.1a),1a), was treated in the adult immunology clinic of our University Hospital due to adult-onset SLE. The main clinical SLE manifestation was an angiopathic ulceration of the left toe associated with elevated anti-phospholipid autoantibodies (Supplemental Figure 2). Other SLE-associated abnormalities were low platelet counts, complement consumption, elevated anti-nuclear autoantibodies and elevated anti-double strand DNA (ds-DNA) autoantibodies (Supplemental Figure 2, Supplemental Table 3). Serum IgM was slightly and polyclonally elevated (Supplemental Figure 2). The SLE patient is one of nine siblings from the same parents. In total, six family members were available for further testing (individuals labeled 1–6, Fig. Fig.1a).1a). The parents and four of their children were not available for the study.
The CD46 mutation was confirmed by Sanger sequencing in all five family members who carried the mutation based on the WES analysis (Fig. (Fig.2a–c).2a–c). The allele frequency of this mutation at gnomAD (https://gnomad.broadinstitute.org) is 0.000004046 with a CADD score of 23.7—predicting functional relevance. This mutation has been previously reported in a pediatric aHUS patient from Italy [30], without further immunologic or molecular work-up. The mutation leads to alternative splicing on cDNA level with a partial 21 nucleotide deletion of exon 4 (Figs. (Figs.1b1b and and2b+c),2b+c), which encodes for the CCP2 domain. This mutation-associated partial exon 4 deletion (del21bp) was present at cDNA level in all five mutation carriers (Figs. (Figs.11 and and2b+c).2b+c). Real-time PCR analysis of PBMC-derived cDNA revealed that all five mutation carriers expressed approximately 50%-less CD46 wild-type mRNA compared to examined healthy controls and the family member that did not carry the mutation (Fig. (Fig.2d,2d, top). Mutation carriers exclusively expressed the del21bp CD46 mRNA (Fig. (Fig.2d,2d, bottom).
CD46 del21bp Mutation Is Loss-of Surface Expression and Lacks Dominant Negativity Regarding Surface Expression of WT CD46
We next addressed variant CD46 protein encoded by the del21bp CD46 mutation. The del21bp CD46 mutation results in a deletion of 6+1 amino acid residues at positions 152-157 and 159 (Gly-Lys-Pro-Pro-Ile-Cys- and Lys), flanking glutamic acid (Glu) residue 158 (Fig. (Fig.3a,3a, top). This results in a loss of two conserved prolines at positions 154-155 (PP motif) [31] and, importantly, a β sheet including one of the four universally CCP-conserved cysteines at position 157 building a disulfide bond with cysteine 127 [32–34] (Fig. (Fig.3a,3a, bottom). Flow-cytometric analysis showed that both diseased and healthy mutation carriers expressed lower CD4+ T cell-intrinsic cell surface CD46 levels compared to healthy controls ex vivo (Fig. (Fig.3b+c).3b+c). A comprehensive CD46-specific antibody surface binding mapping on peripheral CD4+ T cells with a set of epitope-mapped [35], commercially available and non-available (GB24) [36] anti-CD46 mAbs in the mutation-carrying SLE patient revealed approximately 50% reduced surface expression (Fig. (Fig.3d).3d). This was independent of N-terminal vs. C-terminal mAb binding specificity, arguing against intact surface expression of the mutant CD46 protein.
We then performed transient protein overexpression of the del21bp CD46 variant compared to WT CD46 in a CD46-knocked out human myeloid HAP1 cell line. WT CD46 reconstitution resulted in CD46 surface expression which was absent in the parental cell line (Fig. (Fig.3e,3e, columns 1–3 top). In contrast, reconstitution of del21bp CD46 resulted in a near-complete loss of surface CD46 expression (Fig. (Fig.3e,3e, column 4 top), defining the original intronic mutation as a loss-of-expression (Fig. (Fig.3f,3f, left). However, intracellular levels of the del21bp CD46 variant were comparable with WT CD46 (Fig. (Fig.3e+f).3e+f). Thus, the del21bp CD46 variant is expressed as a protein but does not reach the cell surface. This protein trajectory was analogous to a CCP cysteine-to-arginine/glycine substitution described in a case of human complement factor H deficiency [37, 38]. A browser-adapted AlphaFold2-based structure prediction of del21bp CD46-translated product suggested an inter-CCP bending, existing only between CCP3/CCP4 in WT [34] (Fig. (Fig.3g,3g, left, black wedge), to newly arise between CCP2/CCP3 (Fig. (Fig.3g,3g, right, green wedge), losing their near-linear alignment with CCP1 (Fig. (Fig.3g,3g, left, dotted box). Co-transfection of WT and del21bp CD46 at a 1:1 ratio resulted in 50% surface expression compared with WT-only, whereas intracellular expression level was comparable. Thus, the del21bp variant-encoded CD46 protein does not confer dominant negativity regarding surface expression of WT CD46 (Fig. (Fig.33h).
Immune Phenotyping of Diseased vs. Healthy CD46 Mutation Carriers
Next, we performed a detailed phenotypic analysis of lymphocytes, T and B cell subpopulations in all family members using a clinically validated protocol allowing us to link the results to normal in-house reference ranges [23]. Lymphocyte subpopulations were within normal reference ranges for all tested individuals with the exception of the patient with aHUS who showed low-normal CD4+ T cells in peripheral blood. Absolute B cells were normal (Supplemental Figure 3). B cell subpopulations were unremarkable with the exception of the patient with SLE who demonstrated high memory and low naïve B cells (Supplemental Figure 3). Four out of five mutation carriers had low naïve CD4+ T cells and low recent thymic emigrant (CD45RA+CD31hi) CD4+ T cells (Fig. (Fig.4a).4a). The only mutation carrier with normal naïve CD4+ T cell frequencies was the patient with aHUS, which plausibly could demonstrate higher naïve CD4+ T cells due to the pediatric age at analysis [39] (Fig. (Fig.4a).4a). Within the CD8+ T cells, five out of five mutation carriers had elevated central memory (CD45RO+CD27+) subpopulations (Fig. (Fig.4a).4a). Intriguingly, while healthy mutation carriers had regulatory CD4+CD25hiCD127low CD4+ T cells (Treg) frequencies within normal reference ranges, both diseased mutation carriers had low Treg (Fig. (Fig.4a).4a). CD127lowCD25hi (surface-defined Tregs) vs. CD127hiCD25low CD4+ T cell populations in mutation carrier 5 (SLE) segregated with intracellular FoxP3 positivity, non-discrepant with two unrelated healthy donors (Fig. (Fig.4b),4b), in keeping with literature on Treg surface phenotyping [40, 41]. As tested in the SLE patient, all T-cell subpopulation frequencies were recapitulated when reassessed several years after initial testing, arguing for stable traits (Supplemental Figure 3c). With the exception of slightly elevated IgM in the SLE patient, none of the mutation carriers had dysregulated serum IgG, IgM, or IgA levels (Supplemental Figure 3d). The two main complement pathways were functionally assessed in sera of all tested family members (Supplemental Figure 3e) [24]. The classical complement pathway was functionally unaffected in all family members. Sera from four out of five mutation carriers had activities of the alternative pathway above the reference range, a finding requiring further scrutiny.
Cytokine Secretion and Immune-Metabolic Profiling of CD4+ T Cells of Diseased vs. Healthy CD46 Mutation Carriers
Normal CD46 abundance and activity is required for Th1 and CTL effector activity induction [8, 42]. We thus next measured cytokine production by purified CD4+ T cells in all family members plus 4-8 non-related healthy blood donors following T cell receptor ligation alone or in combination with agonistic anti-CD28 or anti-CD46 antibody co-stimulation. T cells of mutation carriers showed a trend to produce equal or more pro-inflammatory cytokines (IL-6, IFN-γ, TNF-α) following T cell receptor ligation plus CD28 co-stimulation compared to controls (Supplemental Figure 4), although these data did not reach statistical significance. This difference was normalized or reversed following CD46 co-stimulation, in keeping with impaired functional CD46 co-stimulation in mutation carriers. IL-10 secretion in CD46 co-stimulated mutation carrier-derived cells was approximately 50%-decreased (p = 0.0657) (Supplemental Figure 4), implicating certain involvement in the described immune-dysregulation linked with CD46 haploinsufficiency [5].
A major activity of CD46 during T cell activation is the induction of increased nutrient influx and T cell metabolic adaptation [9], including the support of glycolysis and oxidative phosphorylation (OXPHOS). To assess this, we first approximated mitochondrial mass and membrane potential in resting and stimulated conditions in T cells of all family members. As observed ex vivo, CD46 surface expression was lower in mutation carriers following in vitro CD3-only or CD3+CD28 CD4+ T cell stimulation (Fig. (Fig.5a).5a). No differences were found in mitochondrial parameters directly ex vivo in mutation carriers vs. controls (data not shown). However, 36 h following CD4+ T cell activation in vitro, the mean fluorescence intensity (MFI) of mitotracker deep red (indicating mitochondrial potential) was significantly lower upon CD46 co-stimulation in mutation carriers, likely reflecting decreased surface CD46 expression (Fig. (Fig.5b).5b). Next, the extracellular acidification rate (ECAR), as a surrogate of cellular lactate production (glycolysis), and the oxygen consumption rate (OCR) (OXPHOS) were measured in real-time by metabolic flux analysis in T cells from all family members and controls in the absence or following in-machine T cell activation for 36 h. There was no difference in mutation carriers vs. controls in basal or maximal ECAR induced by mitochondrial perturbation (data not shown). In contrast, basal and ATP-coupled respiration (Fig. (Fig.5c)5c) were reduced specifically following CD46 co-stimulation in activated T cells of CD46-mutated family members (Fig. (Fig.5d+e).5d+e). Maximal respiratory capacity and spare respiratory capacity were not affected by CD46 mutation status, not even following CD46 co-stimulation (data not shown). In conclusion, the identified CD46 loss-of-expression mutation was directly linked with altered T cell-intrinsic metabolic adaptation following CD46 co-stimulation.
Private Non-CD46 Rare Germline Variants as Possible Modifiers of Clinical Phenotype and Penetrance in CD46 Mutation Carriers
Penetrance of CD46-dependent aHUS is modified by inflammatory events such as infections or even vaccinations [22, 43, 44], which themselves are shaped in extent by rare variants in genes encoding immune system proteins [45]. To search for possible genetic contributors to penetrance and/or clinical manifestations beyond the CD46 variant, we filtered WES data for rare variants in immune system genes that had been previously linked to IEI [29] (Supplemental Table 4). The aHUS patient carries a heterozygous E148Q variant in the MEFV gene, which has been associated with the autoinflammatory Familial Mediterranean Fever [46] and was recently molecularly demonstrated to be gain-of-function regarding inflammasome activation [47]. In addition, the aHUS patient carries a frameshift mutation (CADD Score: 35) in the NOD2 gene, known to be positively associated with Crohn’s disease [48], another autoinflammatory syndrome (Table (Table2).2). This variant is loss-of-function for NOD2 signaling but pro-inflammatory partly due to insufficient NOD2 dependent up-regulation of the NF-kappa B inhibitor A20 (TNFAIP3) [49] and inhibits IL-10 transcription further promoting inflammation [50]. None of these two proinflammatory variants were detected in the other four CD46 mutation carriers (Table (Table2).2). The patient with SLE carried a rare heterozygous missense variant in the TNF receptor superfamily co-stimulator TNFRSF4/OX40, substituting a signaling peptide residue in the hydrophobic region relatively conserved in mammals (p.R10C) with a CADD score of 22 predicting functional consequences (Supplemental Figure 5 a+b). This variant was not present in the aHUS patient, while being also present in one currently healthy CD46 mutation carrier (Table (Table2).2). CD46 co-stimulation facilitated OX40 expression on CD4+ T cells (Supplemental Figure 5c), and ex vivo OX40 expression was increased in CD4+ T cells of the SLE patient compared to healthy controls (Supplemental Figure 5d).
Table 2
Chr | rsID | Zygo-sity | Gene | cDNA | Amino Acid | Allele Frequency | CADD |
---|---|---|---|---|---|---|---|
Family Member 1 (male, carrier) | |||||||
1 | rs35012521 | het | NCF2 | c.A1121T | p.N374I | 0.005429 | 28.4 |
15 | rs1352520577 | het | BLM | c.A3334C | p.N1112H | 0.0000088 | 26.5 |
Family Member 2 (female, carrier) | |||||||
1 | rs35304565 | het | TNFRSF4 | c.C28T | p.R10C | 0.008007 | 22 |
8 | rs12721593 | het | NBN | c.C278T | p.S93L | 0.000581 | 24.2 |
15 | rs1352520577 | het | BLM | c.A3334C | p.N1112H | 0.0000088 | 26.5 |
16 | rs11548656 | het | PLCG2 | c.A731G | p.H244R | 0.02566 | 16.45 |
19 | rs370053399 | het | STXBP2 | c.C601T | p.R201C | 0.0004820 | 24.4 |
22 | rs7264953 | het | TBX1 | c.G297A | p.A99A | 0.02236 | 15.64 |
X | rs141756032 | het | CYBB | c.G1090C | p.G364R | 0.003974 | 23 |
Family Member 3 (female) | |||||||
1 | rs202077872 | het | CR2 | c.G1117A | p.D373N | 0.0005808 | 22.1 |
15 | rs1352520577 | het | BLM | c.A3334C | p.N1112H | 0.0000088 | 26.5 |
16 | rs11548656 | het | PLCG2 | c.A731G | p.H244R | 0.02566 | 16.45 |
19 | rs370053399 | het | STXBP2 | c.C601T | p.R201C | 0.0004820 | 24.4 |
X | rs141756032 | het | CYBB | c.G1090C | p.G364R | 0.003974 | 23 |
Family Member 4 (male, carrier) | |||||||
15 | rs1352520577 | het | BLM | c.A3334C | p.N1112H | 0.0000088 | 26.5 |
16 | rs11548656 | het | PLCG2 | c.A731G | p.H244R | 0.02566 | 16.45 |
19 | rs370053399 | het | STXBP2 | c.C601T | p.R201C | 0.0004820 | 24.4 |
22 | rs7264953 | het | TBX1 | c.G297A | p.A99A | 0.02236 | 15.64 |
Family Member 5 (male, SLE) | |||||||
1 | rs35304565 | het | TNFRSF4 | c.C28T | p.R10C | 0.008007 | 22 |
8 | rs12721593 | het | NBN | c.C278T | p.S93L | 0.000581 | 24.2 |
Family Member 6 (male, aHUS) | |||||||
2 | rs2066518 | het | SMARCAL1 | c.G1129C | p.E377Q | 0.01031 | 24.9 |
7 | rs3735131 | het | CARD11 | c.G2244C | p.T748T | 0.02254 | 15.16 |
12 | rs5745068 | het | POLE | c.G6494A | p.R2165H | 0.003786 | 33 |
16 | rs3743930 | het | MEFV | c.G442C | p.E148Q | 0.01353 | 23.3 |
16 | rs2066847 | het | NOD2 | c.3016_3017insC | p.A1007FS | 0.015 | 35 |
16 | rs11548656 | het | PLCG2 | c.A731G | p.H244R | 0.02566 | 16.45 |
19 | rs370053399 | het | STXBP2 | c.C601T | p.R201C | 0.0004820 | 24.4 |
22 | rs12484684 | het | IL17RA | c.C1685A | p.P562Q | 0.006 | 25.8 |
In an attempt to generalize our findings of the co-existence of additional non-CD46 rare predicted functional relevant IEI-gene variants in CD46 mutation carriers, we filtered the NIHR BioResource Rare Diseases project database for individuals carrying rare CD46 variants and co-analyzed functionally likely relevant (CADD Score >15) rare non-CD46 IEI-gene variants (Supplemental Table 4). With this approach we identified seven individuals carrying rare CD46 variants already demonstrated to be associated with CD46 related disease [15]. In each of these individuals we identified up to ten additional rare, potentially functionally relevant variants in other IEI-related genes. These IEI-related non-CD46 genes included genes linked to autoinflammation such as ADA2 or PLCG2 (Supplemental Table 4) [29]. Rare variants in complement system genes such as C4A, C4B or C6 were also detected (Supplemental Table 4). In addition, four of the seven individuals carrying rare CD46 missense variants also carried rare variants in STAT5B, of which gain of function mutations have been associated with autoinflammatory features [51].
Discussion
The pediatric patient with aHUS has been followed at our institution for the last 17 years. Since his last flare in 2019 he is in good clinical condition without any medication. Renal function is normal without proteinuria. Due to the rarity of flares, there is currently no indication for prophylactic Eculizumab-mediated complement inhibition. The patient with CD46-associated SLE reported here has been followed at our clinic for more than 10 years. Clinically, the SLE initially manifested with toe ulceration due to anti-phospholipid syndrome, while other clinical manifestations, especially nephritis, did not (yet) develop. He has currently minor arthritis of the hands under hydroxychloroquine treatment. There is no current clinical manifestation of the anti-phospholipid syndrome under Aspirin treatment. To our knowledge, this is the first report that demonstrates association of a rare CD46 mutation with both aHUS and SLE in different individuals of the same family. The association of CD46 mutations with SLE in the literature has not been studied in detail, neither at the clinical nor at the molecular level. SLE-associated CD46 mutations have mostly not been functionally assessed [3].
In addition to its complement regulating function, CD46 has been recognized as a co-stimulator of T helper cells favoring Th1 induction [7, 10]. CD46 has also been demonstrated to be involved in T cell contraction via the timely co-induction of immune-regulative IL-10 secretion in successfully expanded Th1 cells [42]. So far, a more detailed analysis of the circulating T cell subpopulations in patients with CD46 mutations has not been performed. Here, we demonstrate that most CD46 mutation carriers, including healthy carriers, have low or low-normal naïve CD4+ T cell frequencies in peripheral blood. While complete lack of CD46 is accompanied by almost absent Th1 responses [7], our data here indicate that haploinsufficient CD46 expression may result in hyperactive T cells with less naïve and more memory T cells maintained/generated. Specifically, our finding that diseased CD46 mutation carriers had reduced Treg frequencies may then skew the overall T cell activity towards being pathologically pro-inflammatory. Although we did not observe significant differences in cytokine production by carrier-derived T cells when activated in bulk, it should be noted that we were unable (due to limited sample volume) to carefully dissect the cytokine production of separate T cell subpopulations (for example TCM, TEM etc.). We did not find consistent differences in T cell intrinsic CD46 expression in healthy vs. diseased mutation carriers, although we have not further defined the exact CD46 isoform expression profile. We have recently identified the C3–CD46 axis as a key characteristic of CD4+ and CD8+ T cells and macrophages in tissues [52]. It may therefore be interesting to assess tissue T cell activity in CD46-insufficient patients in the future. CD46-dependent metabolic adaptation following T cell activation was disturbed in both diseased and healthy mutation carriers with most prominent dysregulation in mitochondrial function, proportionate with decreased CD46 surface expression. We have recently demonstrated that genetically-determined mitochondrial dysfunction may indeed underlie chronic human immune-dysregulation [23].
None of the CD46 mutation carriers displayed an overt antibody deficiency in circulation although it has been reported that individuals with homozygous CD46 mutations have common variable immunodeficiency (CVID)-like immunodeficiency [3]. We have, however, not measured antigen-specific B cell activation responses in this study.
Incomplete penetrance is commonly observed in IEI, even those that are highly mortal [53]. Several co-factors explaining incomplete penetrance in human inherited disease have been demonstrated: these include exogenous factors such as infections/vaccinations as well as genetic modifiers such as mutations in modifier genes [53, 54]. For CD46-associated disease, low clinical penetrance (at least in childhood) has even been described in patients with homozygous loss-of-expression CD46 mutations [55]. This would be in keeping with the hypothesis of non-CD46 rare immune gene alleles impacting on disease penetrance. Indeed, in-depth analysis of our diseased CD46 mutation carriers assessed here showed that they carry private, rare and potentially functionally relevant (high CADD scores) variants in non-CD46 IEI-related genes. The proinflammatory effects of the MEFV and NOD2 variants found in the aHUS patient have been discussed above.
Polymorphisms in OX40/OX40L associated with enhanced protein expression have been described to be associated with SLE [56, 57] and human monosomy 1q36 evidences activated CD4+ T-cell sustainment via OX40 [58]. Like CD46, OX40 is a T cell co-stimulatory protein regulating T cell survival and is, similar to CD46, acting as an Akt-mTOR activator. It needs to be addressed in subsequent studies whether the Treg dysfunction described in CD46 mutated individuals [5] might be influenced by TNFRSF4 variants. Effectively, Treg and follicular T helper cells have been demonstrated to be abnormal in human SLE in an OX40/OX40L-dependent manner [59, 60]. We do not demonstrate the p.R10C OX40 mutation to be gain-of-function. We however provide experimental evidence that CD4+ T cell-intrinsic OX40 expression is up-regulated by CD46 co-stimulation and that the SLE patient had augmented OX40 expression on CD4+ T cells ex vivo.
Epistasis has been described as the synergistic interaction of genetic loci potentially modifying disease phenotypes and severity. Epistatic interactions have been described for cystic fibrosis (CFTR) and DCNT4 [61] or craniosynostosis (SMAD6) and BMP2 amongst others [54, 62]. Within IEI, epistasis has been described for TNFRSF13B and TCF3 [63, 64]. It is increasingly acknowledged that clinical phenotypes of IEI with low penetrance are impacted by pathogenic mutations in other genes [53]. We extend this concept also beyond the familial CD46 mutation carriers experimentally assessed here and show that individuals carrying rare, disease-causing CD46 missense mutations may co-carry up to ten rare, likely functionally relevant mutations in other IEI genes, including genes driving autoinflammation or complement dysfunction [29]. Although these findings remain correlative, it is intriguing that some of the additional IEI-gene mutations found in our wider screen of patients with CD46 mutations have previously been connected with CD46 activity: for example, C4 (encoded by the C4A gene) provides C4b as an (extrinsic or intrinsic) ligand for CD46 and CD46 is a strong STAT5 inducer in T cells [42, 65].
In summary, this is to our knowledge, the first study that correlates immune-phenotypic, immune-functional (including immune-metabolic) and genetic factors with clinical manifestations in carriers of a disease-associated CD46 loss-of-expression mutation. This study suggests that assessment of peripheral T cell phenotype and activity as well as the search for rare genetic immune variants in immune-genes other than CD46 may help to personalize the prognosis and treatment in patients carrying CD46 and possibly other aHUS-related mutations.
Supplementary Information
Supplemental Figure 1: a) Time of hospitalization, requirement of intensive care and duration of peritoneal dialysis during the five flares of aHUS. b) Laboratory parameters during the five flares of aHUS in family member number 6 (aHUS patient). Supplemental Figure 2: (Top) Clinical and laboratory manifestations of SLE in family member 5. X indicates presence of the criteria (Middle) Serum immunoglobulins in the SLE patient. (Bottom) Quantification of different anti-phospholipid autoantibodies Values in red are above the reference range. Supplemental Figure 3: a+b) The indicated lymphocyte and B cell subpopulations of all tested family members were assessed by flow-cytometry. c) The indicated T cell subpopulations in the SLE patient were repeated 6 years following the initial assessment. CM: central memory; EM: effector memory; TEMRA: terminally differentiated effector memory; RTE: recent thymic emigrants; fTh: follicular T helper; Treg: regulatory T cells; MHCII+: activated T cells. d) Quantification of the indicated serum immunoglobulins. e) Functional assessment of the indicated complement pathways using serum of the individual family members. The blue and green dots represent the aHUS and SLE patient, respectively. Closed symbols represent mutation carriers while the open symbol represents the family member lacking the mutated allele. The lines mark normal reference values. Supplemental Figure 4: Purified CD4+ T cells were left non-activated (NA) or stimulated with immobilized agonistic antibodies against CD3, CD3 + CD28 or CD3 + CD46. Supernatants were harvested 36 hours post stimulation and analyzed by cytometric bead array (CBA). Secretion of the indicated cytokines were normalized to anti-CD3-stimulated cells which was set to 1. All bars indicate means ± SD. The ratio of IFN-γ concentration divided by the IL-10 level in supernatants serves as a marker of proinflammatory CD4+ T cell function and is depicted in a separate graph. All bars indicate means ± SD. Analyzed by unpaired t-tests. Supplemental Figure 5: a) Multiple sequence alignment of human TNFRSF4/OX40 and its orthologues. The Arg10 residue of OX40 in humans and other species are colored in pink. b) Functional region prediction of TNFRSF4/OX40 via SignalP-6.0 (https://services.healthtech.dtu.dk/services/SignalP-6.0/). c) Representative TNFRSF4/OX40 expression profiles from one donor and quantification of five individual donors. CD4+ cells from healthy human donors were stimulated for 36h with the indicated antibody combinations. TNFRSF4/OX40 expression was measured on viable cells using anti-human CD134 (OX40) APC-conjugated mAb (ACT35). d) Ex vivo expression of OX40 (X axis) and 4-1BB (Y axis) on PBMC-derived viable CD4+ T cells of CD46 mutation carrier 5 aligned with three healthy controls after 36-hour culture. Supplemental Table 1: Clinical history, as assessed with a standardized case report form, of all studied family members. Supplemental Table 2: a) Clinical manifestations of CD46 mutation carrier 6 during the aHUS flares. b) Complement-related diagnostic-lab analysis during the aHUS flares. Supplemental Table 3: a) Autoantibody profiles of CD46 mutation carrier 5 (SLE patient). b) Complement-related lab analysis in the SLE patient over time. Values in red are above the reference range, values in blue are below the reference range. Supplemental Table 4: The British NIHR BioResource Rare Diseases project database was filtered for individuals carrying rare (allele frequency <1/1000), likely functionally relevant (CADD Score >15) variants in CD46 which have already been described in patients with CD46 dependent disease. In such individuals, we searched for rare (allele frequency <1/1000), likely functionally relevant (CADD Score >15) variants in other IEI-related genes (defined as being included in the 2019 update on the IEI-classification from the International Union of Immunological Societies expert committee [29]. IEI genes were attributed to different clinical categories as proposed by the International Union of Immunological Societies (IUIS) [29]. Genes linked to autoinflammatory diseases are marked in green, genes linked to the function of the complement system are marked in blue. Mutations in STAT5B are marked in orange. (DOCX 766 kb)
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Acknowledgements
We thank the patients and their relatives for participating in this study.
We thank NIHR BioResource volunteers for their participation, and gratefully acknowledge NIHR BioResource centres, NHS Trusts and staff for their contribution. The NIHR BioResource – Rare Disease Study is a multi-center whole-genome sequencing (WGS) study of approximately 10’000 patients [28]. Members of the NIHR BioResource consortium provided clinical and genetic data and assisted with interpretation of results. We thank the National Institute for Health Research, NHS Blood and Transplant, and Health Data Research UK as part of the Digital Innovation Hub Program. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Abbreviations
IEI | inborn errors of immunity |
PID | primary immunodeficiency |
SLE | systemic lupus erythematosus |
aHUS | atypical hemolytic uremic syndrome |
TMA | thrombotic microangiopathy |
PBMC | peripheral blood mononuclear cells |
WES | whole exome sequencing |
OCR | oxygen consumption rate |
ECAR | extracellular acidification rate |
Author Contribution
MR and CH planned and supervised the study, wrote the manuscript and performed initial experiments. HY co-supervised revision, performed ex vivo analysis, designed and performed CD46 reconstitution experiments and co-drafted the manuscript. CR diagnosed and treated the aHUS and contributed to the writing of the manuscript and co-initiated the study. CK provided materials and helped writing the manuscript. BM performed most experiments. NK performed CD46 expression and immune-metabolism studies. SS designed and performed CD46 reconstitution experiments. RHi and AG performed bioinformatic analyses of next generation sequencing data of the family. RHu performed CD46 expression analysis. AB, JRH, AJ, AVB, JL were involved in T cell isolation and performed phenotypic experiments. CTB helped analyzing data and helped writing the manuscript. MA, TD and MS diagnosed and treated the SLE patient and helped writing the manuscript. MD monitored the aHUS patient after transition into adult healthcare and contributed to the writing of the manuscript. IH provided immunophenotyping of family members. AN co-initiated the prospective immune-dysregulation cohort and initiated the next generation sequencing analysis.
Funding Information
Open access funding provided by University of Basel This study was funded by the Swiss National Science Foundation to MR (grant numbers: PP00P3_181038, 310030_192652 and to MR) and partially funded by the Japan Agency for Medical Research and Development (AMED) (grant number JP22wm0325006) and Takeda Science Foundation to HY and Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan (JSPS) (grant number 22K15480) to SS. CK and NK are funded by the Intramural Research Program of the National Institutes of Health, National Heart, Lung, and Blood Institute (ZIA/hl006223).
Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
This study has been approved by the ethical committee of northwestern and central Switzerland (EKNZ 2015-187).
Informed consent was obtained from all individual participants included in the study.
A statement confirming consent to publish has been received from all participants.
The authors declare no competing interests.
Footnotes
The original online version of this article was revised: The labels above the panel Figure 2B got duplicate data.
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Benedikt J Meyer, Natalia Kunz, and Sayuri Seki contributed equally.
Hiroyuki Yamamoto, Claudia Kemper, Christoph Hess, and Mike Recher contributed equally.
Change history
8/12/2023
A Correction to this paper has been published: 10.1007/s10875-023-01563-y
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SNPs (Showing 15 of 15)
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- (1 citation) dbSNP - rs3735131
- (1 citation) dbSNP - rs3743930
- (1 citation) dbSNP - rs35012521
- (1 citation) dbSNP - rs5745068
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- (1 citation) dbSNP - rs12484684
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Funding
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Grant ID: ZIA/hl006223
Intramural NIH HHS (1)
Grant ID: ZIA HL006223
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Grant ID: JP22wm0325006
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Grant ID: PP00P3_181038
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