Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes

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...

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Autores principales: Tran, Paul M. H., Dong, Fran, Kim, Eileen, Richardson, Katherine P., Tran, Lynn K. H., Waugh, Kathleen, Hopkins, Diane, Cummings, Richard D., Wang, Peng George, Rewers, Marian J., She, Jin-Xiong, Purohit, Sharad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622713/
https://www.ncbi.nlm.nih.gov/pubmed/36316364
http://dx.doi.org/10.1038/s41467-022-34341-2
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author Tran, Paul M. H.
Dong, Fran
Kim, Eileen
Richardson, Katherine P.
Tran, Lynn K. H.
Waugh, Kathleen
Hopkins, Diane
Cummings, Richard D.
Wang, Peng George
Rewers, Marian J.
She, Jin-Xiong
Purohit, Sharad
author_facet Tran, Paul M. H.
Dong, Fran
Kim, Eileen
Richardson, Katherine P.
Tran, Lynn K. H.
Waugh, Kathleen
Hopkins, Diane
Cummings, Richard D.
Wang, Peng George
Rewers, Marian J.
She, Jin-Xiong
Purohit, Sharad
author_sort Tran, Paul M. H.
collection PubMed
description 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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spelling pubmed-96227132022-11-02 Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes Tran, Paul M. H. Dong, Fran Kim, Eileen Richardson, Katherine P. Tran, Lynn K. H. Waugh, Kathleen Hopkins, Diane Cummings, Richard D. Wang, Peng George Rewers, Marian J. She, Jin-Xiong Purohit, Sharad Nat Commun Article 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. Nature Publishing Group UK 2022-11-01 /pmc/articles/PMC9622713/ /pubmed/36316364 http://dx.doi.org/10.1038/s41467-022-34341-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tran, Paul M. H.
Dong, Fran
Kim, Eileen
Richardson, Katherine P.
Tran, Lynn K. H.
Waugh, Kathleen
Hopkins, Diane
Cummings, Richard D.
Wang, Peng George
Rewers, Marian J.
She, Jin-Xiong
Purohit, Sharad
Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title_full Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title_fullStr Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title_full_unstemmed Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title_short Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
title_sort use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622713/
https://www.ncbi.nlm.nih.gov/pubmed/36316364
http://dx.doi.org/10.1038/s41467-022-34341-2
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