ArticleNature communications2022
Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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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.
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Who cites it
5 citing papers in PubMed, 3 citations in OpenAlex.
- Using Synthetic Glycans to Investigate Anti-Glycan Antibodies and Explore Their Medical Potential.Angewandte Chemie (International ed. in English) · 2026Review
- Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications.European cytokine network · 2026Review
- Defining the Specificity of Blood-Group-Binding Lectins Through Microarray Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Serum antibody screening using glycan arrays.Chemical Society reviews · 2024Review
- The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool.Frontiers in microbiology · 2022Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
Type 1 diabetes (T1D) is an autoimmune disease, characterized by the presence of autoantibodies to protein and non-protein antigens. Here we report the identification of specific anti-carbohydrate antibodies (ACAs) that are associated with pathogenesis and progression to T1D. We compare circulatory levels of ACAs against 202 glycans in a cross-sectional cohort of T1D patients (n = 278) and healthy controls (n = 298), as well as in a longitudinal cohort (n = 112). We identify 11 clusters of ACAs associated with glycan function class. Clusters enriched for aminoglycosides, blood group A and B antigens, glycolipids, ganglio-series, and O-linked glycans are associated with progression to T1D. ACAs against gentamicin and its related structures, G418 and sisomicin, are also associated with islet autoimmunity. ACAs improve discrimination of T1D status of individuals over a model with only clinical variables and are potential biomarkers for T1D.
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Registered trials
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 OpenQuestion graph.