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

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
Publication status	Published - 12 Aug 2020

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

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

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10.1016/j.chom.2020.06.004

Cite this

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{ebff30629e824ac4be4f337075c3322f,

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",

number = "2",

}

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

UN SDGs

Keywords

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