Evidence map›Paper›PMID 36622793›Full record

ArticleClinical and experimental immunology2023

CTLA4, SH2B3, and CLEC16A diversely affect the progression of early islet autoimmunity in relatives of Type 1 diabetes patients.

Julie Vandewalle, Aster K Desouter, Bart J Van der Auwera, Sylvie Tenoutasse, Pieter Gillard, Christophe De Block, Bart Keymeulen, Frans K Gorus, Mark Van de Casteele, Belgian Diabetes Registry

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Julie VandewalleDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0002-6419-9448
Aster K DesouterDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0001-9070-3882
Bart J Van der AuweraDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0003-4133-2565
Sylvie TenoutasseDepartment of Diabetology, Hôpital Universitaire des Enfants Reine Fabiola, HUDERF, Université Libre De Bruxelles, Brussels, Belgium.ORCID 0000-0002-3100-6048
Pieter GillardDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0001-9111-4561
Christophe De BlockDepartment of Endocrinology, Diabetology and Metabolism, Universitair Ziekenhuis Antwerpen, Edegem, Belgium.ORCID 0000-0002-0679-3203
Bart KeymeulenDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0002-8671-4527
Frans K GorusDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0002-9007-6177
Mark Van de CasteeleDepartment of Diabetes Pathology and Therapy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0002-8594-9260
Belgian Diabetes Registry
Vrije Universiteit Brussel · BEAntwerp University Hospital · BEQueen Fabiola Children's University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HLA region is the major genetic risk determinant of Type 1 diabetes. How non-HLA loci contribute to the genetic risk is incompletely understood, but there are indications that at least some impact progression of asymptomatic autoimmunity. We examined whether SNPs in 7 susceptibility loci (INS, SH2B3, PTPN2, PTPN22, CTLA4, CLEC16A, and IL2RA) could improve prediction of the progression from single to multiple autoantibody positivity, and from there on to diagnosis. SNPs were genotyped in persistently autoantibody positive relatives by allelic discrimination qPCR and disease progression was studied by multivariate Cox regression analysis. In our cohort, only the CTLA4 GA genotype (rs3087243, P = 0.002) and the CLEC16A AA genotype (rs12708716, P = 0.021) were associated with accelerated progression from single to multiple autoantibody positivity, but their effects were restricted to presence of HLA-DQ2/DQ8, and IAA as first autoantibody, respectively. The interaction of CTLA4 and HLA-DQ2/DQ8 overruled the effect of DQ2/DQ8 alone. The HLA-DQ2/DQ8-mediated risk of progression to multiple autoantibodies nearly entirely depended on heterozygosity for CTLA4. The SH2B3 TT genotype (rs3184504) was protective for HLA-DQ8 positive subjects (P = 0.003). At the stage of multiple autoantibodies, only the CTLA4 GA genotype was a minor independent risk factor for progression towards clinical diabetes (P = 0.034). Our study shows that non-HLA polymorphisms impact progression of islet autoimmunity in a subgroup-, stage- and SNP-specific way, suggesting distinct mechanisms. If confirmed, these findings may help refine risk assessment, follow-up, and prevention trials in risk groups.

Indexed as

Diabetes Mellitus, Type 1Adaptor Proteins, Signal TransducingAutoantibodiesAutoimmunityCTLA-4 AntigenGenetic Predisposition to DiseaseGenotypeHumansLectins, C-TypeMonosaccharide Transport ProteinsPolymorphism, Single NucleotideProtein Tyrosine Phosphatase, Non-Receptor Type 22Adaptor Proteins, Signal TransducingAutoantibodiesCLEC16A protein, humanCTLA-4 AntigenCTLA4 protein, humanLectins, C-TypeMonosaccharide Transport ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 22PTPN22 protein, humanSH2B3 protein, humanautoimmunityCLEC16ACTLA4predictionSH2B3Type 1 diabetes

Identifiers

PMID36622793
PMCPMC10038324
OpenAlexW4313830509

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.