PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Xhonneux, L.P.* ; Knight, O.* ; Lernmark, Å.* ; Bonifacio, E.* ; Hagopian, W.A.* ; Rewers, M.J.* ; She, J.X.* ; Toppari, J.* ; Parikh, H.* ; Smith, K.G.C.* ; Ziegler, A.-G. ; Akolkar, B.* ; Krischer, J.P.* ; McKinney, E.F.*

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

Sci. Transl. Med. 13:eabd5666 (2021)
Verlagsversion Postprint DOI PMC
Open Access Green
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.
Impact Factor
Scopus SNIP
Scopus
Cited By
Altmetric
17.956
3.342
12
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1946-6234
e-ISSN 1946-6242
Zeitschrift Science Translational Medicine
Quellenangaben Band: 13, Heft: 587, Seiten: , Artikelnummer: eabd5666 Supplement: ,
Verlag American Association for the Advancement of Science (AAAS)
Verlagsort 1200 New York Ave, Nw, Washington, Dc 20005 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research (IDF)
POF Topic(s) 30201 - Metabolic Health
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502100-001
Förderungen Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
National Institute of Allergy and Infectious Diseases (NIAID)
National Institute of Diabetes and Digestive and Kidney diseases (NIDDK)
Wellcome Trust
National Institutes for Health Research Biomedical Research Centre (Cambridge)
Beit Foundation
Wellcome Trust Senior Investigator award
NIH/NCATS
JDRF
Centers for Disease Control and Prevention (CDC)
National Institute of Environmental Health Sciences (NIEHS)
DOI 10.1126/scitranslmed.abd5666
WOS ID WOS:000636266700005
Scopus ID 85103743649
PubMed ID 33790023
Erfassungsdatum 2021-05-27
[➜Korrektur melden]