PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Reitmeier, S.* ; Kiessling, S.* ; Clavel, T.* ; List, M.* ; Almeida, E.L.* ; Ghosh, T.S.* ; Neuhaus, K.* ; Grallert, H. ; Linseisen, J. ; Skurk, T.* ; Brandl, B.* ; Breuninger, T. ; Troll, M. ; Rathmann, W.* ; Linkohr, B. ; Hauner, H.* ; Laudes, M.* ; Franke, A.* ; Le Roy, C.I.* ; Bell, J.T.* ; Spector, T.* ; Baumbach, J.* ; O'Toole, P.W.* ; Peters, A. ; Haller, D.*

Arrhythmic gut microbiome signatures predict risk of type 2 diabetes.

Cell Host Microbe 28, 258-272.e6 (2020)
Publ. Version/Full Text DOI
Closed
Open Access Green as soon as Postprint is submitted to ZB.
Lifestyle, obesity, and the gut microbiome are important risk factors for metabolic disorders. We demonstrate in 1,976 subjects of a German population cohort (KORA) that specific microbiota members show 24-h oscillations in their relative abundance and identified 13 taxa with disrupted rhythmicity in type 2 diabetes (T2D). Cross-validated prediction models based on this signature similarly classified T2D. In an independent cohort (FoCus), disruption of microbial oscillation and the model for T2D classification was confirmed in 1,363 subjects. This arrhythmic risk signature was able to predict T2D in 699 KORA subjects 5 years after initial sampling, being most effective in combination with BMI, Shotgun metagenomic analysis functionally linked 26 metabolic pathways to the diurnal oscillation of gut bacteria. Thus, a cohort-specific risk pattern of arrhythmic taxa enables classification and prediction of T2D, suggesting a functional link between circadian rhythms and the microbiome in metabolic diseases.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
15.923
3.022
38
94
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Amplicon Sequencing ; Circadian Rhythms ; Diurnal Oscillations ; Human Intestinal Microbiota ; Machine Learning ; Metagenomics ; Obesity ; Population-based Cohorts ; Prediction ; Type 2 Diabetes; Intestinal Microbiota; Circadian Clock; Rhythms; Metagenome; Sequences; Dynamics; Mellitus; Database; Diet
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1931-3128
e-ISSN 1934-6069
Journal Cell Host & Microbe
Quellenangaben Volume: 28, Issue: 2, Pages: 258-272.e6 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place 50 Hampshire St, Floor 5, Cambridge, Ma 02139 Usa
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
Independent Research Group Clinical Epidemiology (KEPI)
POF-Topic(s) 30202 - Environmental Health
90000 - German Center for Diabetes Research
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504091-002
G-502900-001
G-504000-006
G-504000-010
G-501900-401
G-504090-001
DOI 10.1016/j.chom.2020.06.004
WOS ID WOS:000560392200014
Scopus ID 85087971140
Erfassungsdatum 2020-09-16
[➜Report correction]