Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes

Sandra Reitmeier; Silke Kiessling; Thomas Clavel; Markus List; Eduardo L. Almeida; Tarini S. Ghosh; Klaus Neuhaus; Harald Grallert; Jakob Linseisen; Thomas Skurk; Beate Brandl; Taylor A. Breuninger; Martina Troll; Wolfgang Rathmann; Birgit Linkohr; Hans Hauner; Matthias Laudes; Andre Franke; Caroline I. Le Roy; Jordana T. Bell; Tim Spector; Jan Baumbach; Paul W. O'Toole; Annette Peters; Dirk Haller

doi:10.1016/j.chom.2020.06.004

Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes

Sandra Reitmeier
, Silke Kiessling
, Thomas Clavel
, Markus List
, Eduardo L. Almeida
, Tarini S. Ghosh
, Klaus Neuhaus
, Harald Grallert
, Jakob Linseisen
, Thomas Skurk
, Beate Brandl
, Taylor A. Breuninger
, Martina Troll
, Wolfgang Rathmann
, Birgit Linkohr
, Hans Hauner
, Matthias Laudes
, Andre Franke
, Caroline I. Le Roy
, Jordana T. Bell

Tim Spector, Jan Baumbach, Paul W. O'Toole, Annette Peters, Dirk Haller

Research output: Contribution to journal › Article › peer-review

216 Scopus citations

Abstract

Reitmeier et al. show that specific gut microbes exhibit rhythmic oscillations in relative abundance and identified taxa with disrupted rhythmicity in individuals with type 2 diabetes (T2D). This arrhythmic signature contributed to the classification and prediction of T2D, suggesting functional links between circadian rhythmicity and the microbiome in metabolic diseases.

Original language	English
Pages (from-to)	258-272.e6
Journal	Cell Host and Microbe
Volume	28
Issue number	2
DOIs	https://doi.org/10.1016/j.chom.2020.06.004
State	Published - 12 Aug 2020

Keywords

amplicon sequencing
circadian rhythms
diurnal oscillations
human intestinal microbiota
machine learning
metagenomics
obesity
population-based cohorts
prediction
type 2 diabetes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.chom.2020.06.004

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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. A., Troll, M., Rathmann, W., Linkohr, B., Hauner, H., Laudes, M., Franke, A., Le Roy, C. I., ... Haller, D. (2020). Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes. Cell Host and Microbe, 28(2), 258-272.e6. https://doi.org/10.1016/j.chom.2020.06.004

@article{0149ff9292214007b8608dab05c97faf,

title = "Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes",

abstract = "Reitmeier et al. show that specific gut microbes exhibit rhythmic oscillations in relative abundance and identified taxa with disrupted rhythmicity in individuals with type 2 diabetes (T2D). This arrhythmic signature contributed to the classification and prediction of T2D, suggesting functional links between circadian rhythmicity and the microbiome in metabolic diseases.",

keywords = "amplicon sequencing, circadian rhythms, diurnal oscillations, human intestinal microbiota, machine learning, metagenomics, obesity, population-based cohorts, prediction, type 2 diabetes",

author = "Sandra Reitmeier and Silke Kiessling and Thomas Clavel and Markus List and Almeida, \{Eduardo L.\} and Ghosh, \{Tarini S.\} and Klaus Neuhaus and Harald Grallert and Jakob Linseisen and Thomas Skurk and Beate Brandl and Breuninger, \{Taylor A.\} and Martina Troll and Wolfgang Rathmann and Birgit Linkohr and Hans Hauner and Matthias Laudes and Andre Franke and \{Le Roy\}, \{Caroline I.\} and Bell, \{Jordana T.\} and Tim Spector and Jan Baumbach and O'Toole, \{Paul W.\} and Annette Peters and Dirk Haller",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Inc.",

year = "2020",

month = aug,

day = "12",

doi = "10.1016/j.chom.2020.06.004",

language = "English",

volume = "28",

pages = "258--272.e6",

journal = "Cell Host and Microbe",

issn = "1931-3128",

publisher = "Cell Press",

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Reitmeier, S, Kiessling, S, Clavel, T, List, M, Almeida, EL, Ghosh, TS, Neuhaus, K, Grallert, H, Linseisen, J, Skurk, T, Brandl, B, Breuninger, TA, Troll, M, Rathmann, W, Linkohr, B, Hauner, H, Laudes, M, Franke, A, Le Roy, CI, Bell, JT, Spector, T, Baumbach, J, O'Toole, PW, Peters, A & Haller, D 2020, 'Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes', Cell Host and Microbe, vol. 28, no. 2, pp. 258-272.e6. https://doi.org/10.1016/j.chom.2020.06.004

TY - JOUR

T1 - Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes

AU - Reitmeier, Sandra

AU - Kiessling, Silke

AU - Clavel, Thomas

AU - List, Markus

AU - Almeida, Eduardo L.

AU - Ghosh, Tarini S.

AU - Neuhaus, Klaus

AU - Grallert, Harald

AU - Linseisen, Jakob

AU - Skurk, Thomas

AU - Brandl, Beate

AU - Breuninger, Taylor A.

AU - Troll, Martina

AU - Rathmann, Wolfgang

AU - Linkohr, Birgit

AU - Hauner, Hans

AU - Laudes, Matthias

AU - Franke, Andre

AU - Le Roy, Caroline I.

AU - Bell, Jordana T.

AU - Spector, Tim

AU - Baumbach, Jan

AU - O'Toole, Paul W.

AU - Peters, Annette

AU - Haller, Dirk

PY - 2020/8/12

Y1 - 2020/8/12

N2 - Reitmeier et al. show that specific gut microbes exhibit rhythmic oscillations in relative abundance and identified taxa with disrupted rhythmicity in individuals with type 2 diabetes (T2D). This arrhythmic signature contributed to the classification and prediction of T2D, suggesting functional links between circadian rhythmicity and the microbiome in metabolic diseases.

AB - Reitmeier et al. show that specific gut microbes exhibit rhythmic oscillations in relative abundance and identified taxa with disrupted rhythmicity in individuals with type 2 diabetes (T2D). This arrhythmic signature contributed to the classification and prediction of T2D, suggesting functional links between circadian rhythmicity and the microbiome in metabolic diseases.

KW - amplicon sequencing

KW - circadian rhythms

KW - diurnal oscillations

KW - human intestinal microbiota

KW - machine learning

KW - metagenomics

KW - obesity

KW - population-based cohorts

KW - prediction

KW - type 2 diabetes

UR - https://www.scopus.com/pages/publications/85087971140

U2 - 10.1016/j.chom.2020.06.004

DO - 10.1016/j.chom.2020.06.004

M3 - Article

C2 - 32619440

AN - SCOPUS:85087971140

SN - 1931-3128

VL - 28

SP - 258-272.e6

JO - Cell Host and Microbe

JF - Cell Host and Microbe

IS - 2

ER -

Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes

Abstract

Keywords

UN SDGs

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