The aging mouse microbiome has obesogenic characteristics

Study information

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study design

laboratory experiment

Citation

PMID PubMed identifier for scientific articles.

33046129

DOI Digital object identifier for electronic documents.

10.1186/s13073-020-00784-9

URI

Authors

Binyamin D, Werbner N, Nuriel-Ohayon M, Uzan A, Mor H, Abbas A, Ziv O, Teperino R, Gutman R, Koren O

Journal

Genome medicine

Year

2020

Keywords:

Aging, Fecal microbiota transplantation, Metabolism, Microbiome

BACKGROUND: During aging, there is a physiological decline, an increase of morbidity and mortality, and a natural change in the gut microbiome. In this study, we investigated the influence of the gut microbiome on different metabolic parameters in adult and aged mice. METHODS: Fecal and blood samples from adult (n = 42, 100-300 days) and aging (n = 32, 550-750 days) mice were collected. Microbiome analysis was done using QIIME2. Mouse weight and body composition were measured using NMR, and insulin and leptin levels in the blood were measured with Mouse Adipokine Magnetic Bead Panel kit. Fecal microbiota transplantation experiments from adult and aged mice into young germ-free mice were carried out in order to examine the effect of the gut microbiome of adult and aging mice on weight, body composition, insulin, and leptin. RESULTS: We demonstrate that the microbiomes from adult and aged mice are distinguishable. We also report changes in metabolic parameters as we observed significantly higher weight and fat mass and low lean mass in aged compared to adult mice along with high insulin and leptin levels in the blood. The transplanted gut microbiome from aged mice transferred part of the phenotypes seen in aged mice. Fat body mass and insulin levels were higher in the mice who received feces from aged mice than mice receiving feces from adult mice. In addition, they consumed more food and had a higher respiratory quotient compared to mice receiving adult feces. CONCLUSIONS: We conclude that aged mice have a gut microbiota with obesogenic characteristics. In addition, the gut bacterial population itself is sufficient to induce some of the manifestations of obesity.

Experiment 1

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Curated date: 2023/10/18

Curator: Greatman

Revision editor(s): Greatman, LGeistlinger

Subjects

Location of subjects: Israel

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

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

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: body weight weight,body weight

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

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

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Higher weight adult and aged mice

Group 0 sample size Number of subjects in the control (unexposed) group: 32

Group 1 sample size Number of subjects in the case (exposed) group: 13

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 12 hours

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4

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: Spearman Correlation

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)?: No

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: unchanged

Chao1 Abundance-based estimator of species richness: increased

Simpson Estimator of species richness and species evenness: more weight on species evenness: increased

Richness Number of species: increased

Signature 1

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Reviewed Marked as Reviewed by LGeistlinger on 2023-11-11

Curated date: 2023/10/18

Curator: Greatman

Revision editor(s): Greatman, LGeistlinger

Source: Figure 5a

Description: Bacteria that are associated with higher body weight in both adult and aged mice

Abundance in Group 1: increased abundance in higher weight

NCBI	Quality Control	Links
Bifidobacterium
Clostridium
Sutterella

Revision editor(s): Greatman, LGeistlinger

Experiment 2

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Curated date: 2023/11/11

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Differences from previous experiment shown

Subjects

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: body fat percentage body fat percentage

Group 0 name Corresponds to the control (unexposed) group for case-control studies: low body fat percentage

Group 1 name Corresponds to the case (exposed) group for case-control studies: high body fat percentage

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: High body fat adult and aged mice

Lab analysis

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: Not specified