Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention

Study information

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-19

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

28628112

DOI Digital object identifier for electronic documents.

10.1038/nm.4358

URI

Authors

Liu R, Hong J, Xu X, Feng Q, Zhang D, Gu Y, Shi J, Zhao S, Liu W, Wang X, Xia H, Liu Z, Cui B, Liang P, Xi L, Jin J, Ying X, Wang X, Zhao X, Li W, Jia H, Lan Z, Li F, Wang R, Sun Y, Yang M, Shen Y, Jie Z, Li J, Chen X, Zhong H, Xie H, Zhang Y, Gu W, Deng X, Shen B, Xu X, Yang H, Xu G, Bi Y, Lai S, Wang J, Qi L, Madsen L, Wang J, Ning G, Kristiansen K, Wang W

Journal

Nature medicine

Year

2017

Emerging evidence has linked the gut microbiome to human obesity. We performed a metagenome-wide association study and serum metabolomics profiling in a cohort of lean and obese, young, Chinese individuals. We identified obesity-associated gut microbial species linked to changes in circulating metabolites. The abundance of Bacteroides thetaiotaomicron, a glutamate-fermenting commensal, was markedly decreased in obese individuals and was inversely correlated with serum glutamate concentration. Consistently, gavage with B. thetaiotaomicron reduced plasma glutamate concentration and alleviated diet-induced body-weight gain and adiposity in mice. Furthermore, weight-loss intervention by bariatric surgery partially reversed obesity-associated microbial and metabolic alterations in obese individuals, including the decreased abundance of B. thetaiotaomicron and the elevated serum glutamate concentration. Our findings identify previously unknown links between intestinal microbiota alterations, circulating amino acids and obesity, suggesting that it may be possible to intervene in obesity by targeting the gut microbiota.

Experiment 1

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-19

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, ChiomaBlessing

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Obesity Adiposis,Adiposity,Obese,Obese (finding),obesity,Obesity (disorder),Obesity [Ambiguous],obesity disease,obesity disorder,Obesity NOS,Obesity, unspecified,Overweight and obesity,Obesity

Group 0 name Corresponds to the control (unexposed) group for case-control studies: controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: obese

Group 0 sample size Number of subjects in the control (unexposed) group: 79

Group 1 sample size Number of subjects in the case (exposed) group: 72

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 1 month

Lab analysis

Sequencing type: WMS

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: Mann-Whitney (Wilcoxon)

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

Matched on Factors on which subjects have been matched on in a case-control study: age, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: decreased

Signature 1

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Reviewed Marked as Reviewed by Fatima on 2021/08/10

Curated date: 2021/01/10

Curator: Marianthi Thomatos

Revision editor(s): Fatima, WikiWorks

Source: Figure 1

Description: Gut microbiome alterations in obesity among cohort of lean vs obese Chinese

Abundance in Group 1: increased abundance in obese

NCBI	Quality Control	Links
Blautia obeum
Collinsella aerofaciens
Coprococcus comes
Dorea formicigenerans
Dorea longicatena
Fusobacterium ulcerans
Fusobacterium varium
Lachnospiraceae
Megasphaera elsdenii
Mediterraneibacter gnavus
[Ruminococcus] torques
Anaerobutyricum hallii

Revision editor(s): Fatima, WikiWorks

Signature 2

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-19

Curated date: 2021/01/10

Curator: Marianthi Thomatos

Revision editor(s): WikiWorks

Source: Figure 1

Description: Gut microbiome alterations in obesity among cohort of lean vs obese Chinese

Abundance in Group 1: decreased abundance in obese

NCBI	Quality Control	Links
Bacteroides ovatus
Bacteroides xylanisolvens
Bacteroides uniformis
Bacteroides thetaiotaomicron
Bacteroides intestinalis
Alistipes shahii
Akkermansia muciniphila
Alistipes putredinis
Odoribacter splanchnicus
Bacteroides eggerthii
Klebsiella pneumoniae
Klebsiella oxytoca
Haemophilus parainfluenzae
Faecalibacterium prausnitzii
Bacteroides
Alistipes

Revision editor(s): WikiWorks