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)
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
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Scopus
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
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
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2020
Prepublished im Jahr
HGF-Berichtsjahr
2020
ISSN (print) / ISBN
1931-3128
e-ISSN
1934-6069
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 28,
Heft: 2,
Seiten: 258-272.e6
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
50 Hampshire St, Floor 5, Cambridge, Ma 02139 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
90000 - German Center for Diabetes Research
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504091-002
G-502900-001
G-504000-006
G-504000-010
G-501900-401
G-504090-001
Förderungen
Copyright
Erfassungsdatum
2020-09-16