Gut microbiota is associated with differential metabolic characteristics: A study on a defined cohort of Africans and Chinese
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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
Nizigiyimana P, Xu B, Liu L, Luo L, Liu T, Jiang M, Liu Z, Li C, Luo X, Lei M
Journal
Frontiers in endocrinology
Year
2022
Keywords:
16S rRNA gene sequencing, Africans, Chinese, bacterial communities, gut microbiota, healthy
OBJECTIVE: This study intended to determine the associations between gut microbiota and glucose response in healthy individuals and analyze the connection between the gut microbiome and glucose-metabolism-related parameters. METHODS: Fecal bacterial composition and anthropometric, body composition, body fat distribution, and biochemical measures were analyzed. A 75-g oral glucose tolerance test (OGTT) was given to each participant to investigate changes in glucagon-like peptide 1 (GLP-1), insulin, and glucose. The whole body fat and the regions of interest of local body composition were analyzed using dual-energy X-ray absorptiometry (DEXA), and gut microbiota composition was assessed through variable regions (V3-V4) of the bacterial 16s ribosomal RNA gene using high-throughput sequencing techniques. Spearman correlation analysis was used to evaluate the association between gut microbiota and clinical and metabolic changes. RESULTS: The number of operational taxonomic units (OTUs) demonstrated a reduction in the diversity and composition of gut microbiota associated with enhanced adiposity, dyslipidemia, insulin resistance, and hyperglycemia. The alpha diversity revealed that microbiota diversity, richness, and composition were higher in the African group and lower in the Chinese group. Principal coordinates analysis (PCoA) plots of beta diversity showed significant variability in gut microbial community structure between the two groups (p = 0.0009). LEfSe analysis showed that phylum Bacteroidetes was significantly more abundant in the Chinese group, and this group also harbored members of the order Bacteroidales, family Bacteroidaceae, and genus Bacteroides. In contrast, the phylum Verrucomicrobia was significantly more prevalent in the African group (all p < 0.05). Concerning species, metastats analysis revealed 8 species in the Chinese group and 18 species in the African group that were significantly abundant. Spearman's correlation analysis demonstrated that gut microbiota correlated with the factors that related to glucose metabolism. CONCLUSION: Our data suggest that there is an interaction between gut microbiota, host physiology, and glucometabolic pathways, and this could contribute to adiposity and pathophysiology of hyperlipidemia, insulin resistance, and hyperglycemia. These findings provide an important basis for determining the relation between the gut microbiota and the pathogenesis of various metabolic disorders.
Experiment 1
Reviewed Marked as Reviewed by Folakunmi on 2024-10-15
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
- Glucose metabolism measurement Glucose metabolism measurement,glucose metabolism measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Han-Chinese citizens
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- African citizens
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- African citizens born in Africa with no known recent non-African ancestry.
- Group 0 sample size Number of subjects in the control (unexposed) group
- 27
- Group 1 sample size Number of subjects in the case (exposed) group
- 29
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3-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
- LEfSe
- 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
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 3.8
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Chao1 Abundance-based estimator of species richness
- increased
- Richness Number of species
- increased
Signature 1
Reviewed Marked as Reviewed by Folakunmi on 2024-10-15
Source: Figure 3C
Description: Lefse cladogram generated to depict the key and most differentially abundant taxa associated with ethnicity in Chinese and Africans.
Abundance in Group 1: increased abundance in African citizens
| NCBI | Quality Control | Links |
|---|---|---|
| Verrucomicrobiota |
Revision editor(s): Balogun adekemi, Folakunmi
Signature 2
Reviewed Marked as Reviewed by Folakunmi on 2024-10-15
Source: Figure 3C
Description: Lefse cladogram generated to depict the key and most differentially abundant taxa associated with ethnicity in Chinese and Africans.
Abundance in Group 1: decreased abundance in African citizens
| NCBI | Quality Control | Links |
|---|---|---|
| Bacteroidaceae | ||
| Bacteroidales | ||
| Bacteroides | ||
| Bacteroidia |
Revision editor(s): Balogun adekemi, Folakunmi
Experiment 2
Reviewed Marked as Reviewed by Folakunmi on 2024-10-22
Differences from previous experiment shown
Subjects
Lab analysis
Statistical Analysis
- Statistical test
- Metastats
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Chao1 Abundance-based estimator of species richness
- increased
- Richness Number of species
- increased
Signature 1
Reviewed Marked as Reviewed by Folakunmi on 2024-10-22
Source: Figure 3A
Description: Metastats analysis showing the significantly different taxa in the gut microbiota of Chinese and African citizens
Abundance in Group 1: decreased abundance in African citizens
Revision editor(s): Balogun adekemi, Folakunmi
Signature 2
Reviewed Marked as Reviewed by Folakunmi on 2024-10-22
Source: Figure 3A
Description: Metastats analysis showing the significantly different taxa in the gut microbiota of Chinese and African citizens
Abundance in Group 1: increased abundance in African citizens
Revision editor(s): Balogun adekemi, Folakunmi
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