Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
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
Reviewed Marked as Reviewed by Peace Sandy on 2024-2-20
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 , Blood vessel 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,Region of vascular tree organ,Vas sanguineum,Vascular element,Vascular tree organ region,Blood vessel,blood vessel
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Body weight weight,Body weight,body weight
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Adult
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Aging
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Aging Mice
- Group 0 sample size Number of subjects in the control (unexposed) group
- 42
- Group 1 sample size Number of subjects in the case (exposed) group
- 32
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- NIL
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
- PERMANOVA
- 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
Alpha Diversity
- Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
- increased
Signature 1
Reviewed Marked as Reviewed by LGeistlinger on 2023-11-11
Source: Figure 3
Description: Genera that differed significantly between adult and aged mice. Analysis of microbiome composition (ANCOM) revealed 6 genera a Dehalobacterium, b unspecified Peptococcaceae, c Sutterella, d unspecified Desulfovibrionaceae, and e Bilophila, with significantly different relative abundance in adult versus aged mice
Abundance in Group 1: increased abundance in Aging
| NCBI | Quality Control | Links |
|---|---|---|
| Dehalobacterium | ||
| Peptococcaceae | ||
| Sutterella | ||
| Desulfovibrionaceae | ||
| Bilophila |
Revision editor(s): Greatman, LGeistlinger, Peace Sandy
Experiment 2
Reviewed Marked as Reviewed by Peace Sandy on 2024-2-20
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Body fat percentage 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
- 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
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by LGeistlinger on 2023-11-11
Source: Figure 5b
Description: Bacteria that are associated with fat/lean percent mass in both adult and aged mice
Abundance in Group 1: increased abundance in high body fat percentage
| NCBI | Quality Control | Links |
|---|---|---|
| Turicibacter |
Revision editor(s): LGeistlinger
Experiment 3
Reviewed Marked as Reviewed by Peace Sandy on 2024-2-20
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Body weight weight,Body 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
- Mice with Higher Body Weight
- Group 0 sample size Number of subjects in the control (unexposed) group
- 13
- Group 1 sample size Number of subjects in the case (exposed) group
- 32
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by Peace Sandy on 2024-2-20
Source: Fig. 5
Description: Bacteria that are associated with weight and fat/lean percent mass in both adult and aged mice. Taxa abundance is represented by color scale. a Three genera Bifidobacterium, Clostridium, and Sutterella were significantly correlated with weight.
Abundance in Group 1: decreased abundance in Higher weight
| NCBI | Quality Control | Links |
|---|---|---|
| Bifidobacterium | ||
| Clostridium | ||
| Sutterella |
Revision editor(s): Peace Sandy
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