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Transcriptional networks in at-risk individuals identify signatures of type 1 diabetes progression

Xhonneux, Louis-Pascal (author)
University of Cambridge
Knight, Oliver (author)
University of Cambridge
Lernmark, Åke (author)
Lund University,Lunds universitet,Celiaki och diabetes,Forskargrupper vid Lunds universitet,Celiac Disease and Diabetes Unit,Lund University Research Groups,Skåne University Hospital
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Bonifacio, Ezio (author)
Dresden University of Technology
Hagopian, William A (author)
Pacific Northwest Research Institute
Rewers, Marian J (author)
University of Colorado
She, Jin-Xiong (author)
Medical College of Georgia
Toppari, Jorma (author)
Turku University Hospital
Parikh, Hemang (author)
University of South Florida
Smith, Kenneth G C (author)
University of Cambridge
Ziegler, Anette-G (author)
University of South Florida
Akolkar, Beena (author)
National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix
Krischer, Jeffrey P (author)
University of South Florida
McKinney, Eoin F (author)
University of Cambridge
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 (creator_code:org_t)
American Association for the Advancement of Science (AAAS), 2021
2021
English.
In: Science Translational Medicine. - : American Association for the Advancement of Science (AAAS). - 1946-6242 .- 1946-6234. ; 13:587
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Type 1 diabetes (T1D) is a disease of insulin deficiency that results from autoimmune destruction of pancreatic islet β cells. The exact cause of T1D remains unknown, although asymptomatic islet autoimmunity lasting from weeks to years before diagnosis raises the possibility of intervention before the onset of clinical disease. The number, type, and titer of islet autoantibodies are associated with long-term disease risk but do not cause disease, and robust early predictors of individual progression to T1D onset remain elusive. The Environmental Determinants of Diabetes in the Young (TEDDY) consortium is a prospective cohort study aiming to determine genetic and environmental interactions causing T1D. Here, we analyzed longitudinal blood transcriptomes of 2013 samples from 400 individuals in the TEDDY study before both T1D and islet autoimmunity. We identified and interpreted age-associated gene expression changes in healthy infancy and age-independent changes tracking with progression to both T1D and islet autoimmunity, beginning before other evidence of islet autoimmunity was present. We combined multivariate longitudinal data in a Bayesian joint model to predict individual risk of T1D onset and validated the association of a natural killer cell signature with progression and the model's predictive performance on an additional 356 samples from 56 individuals in the independent Type 1 Diabetes Prediction and Prevention study. Together, our results indicate that T1D is characterized by early and longitudinal changes in gene expression, informing the immunopathology of disease progression and facilitating prediction of its course.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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