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Gut metagenome in European women with normal, impaired and diabetic glucose control

Fredrik H. Karlsson (Institutionen för kemi- och bioteknik, Systembiologi) ; Valentina Tremaroli ; Intawat Nookaew (Institutionen för kemi- och bioteknik, Systembiologi) ; Göran Bergström ; Carl Johan Behre ; Björn Fagerberg ; Jens B. Nielsen (Institutionen för kemi- och bioteknik, Systembiologi) ; Fredrik Bäckhed
Nature (0028-0836). Vol. 498 (2013), 7452, p. 99-103.
[Artikel, refereegranskad vetenskaplig]

Type 2 diabetes (T2D) is a result of complex gene-environment interactions, and several risk factors have been identified, including age, family history, diet, sedentary lifestyle and obesity. Statistical models that combine known risk factors for T2D can partly identify individuals at high risk of developing the disease. However, these studies have so far indicated that human genetics contributes little to the models, whereas socio-demographic and environmental factors have greater influence(1). Recent evidence suggests the importance of the gut microbiota as an environmental factor, and an altered gut microbiota has been linked to metabolic diseases including obesity(2,3), diabetes(4) and cardiovascular disease(5). Here we use shotgun sequencing to characterize the faecal metagenome of 145 European women with normal, impaired or diabetic glucose control. We observe compositional and functional alterations in the metagenomes of women with T2D, and develop a mathematical model based on metagenomic profiles that identified T2D with high accuracy. We applied this model to women with impaired glucose tolerance, and show that it can identify women who have a diabetes-like metabolism. Furthermore, glucose control and medication were unlikely to have major confounding effects. We also applied our model to a recently described Chinese cohort(4) and show that the discriminant metagenomicmarkers for T2D differ between the European and Chinese cohorts. Therefore, metagenomic predictive tools for T2D should be specific for the age and geographical location of the populations studied.



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Denna post skapades 2013-07-04. Senast ändrad 2015-11-24.
CPL Pubid: 179798

 

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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)
Institutionen för medicin, avdelningen för molekylär och klinisk medicin (GU)
Wallenberglaboratoriet (GU)

Ämnesområden

Informations- och kommunikationsteknik
Livsvetenskaper
Klinisk medicin

Chalmers infrastruktur

C3SE/SNIC (Chalmers Centre for Computational Science and Engineering)

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Denna publikation ingår i:


Systems Biology of the Gut Microbiome in Metabolic Diseases