The relationship between menopausal syndrome and gut microbes
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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 Uniform resource identifier for web resources.
Authors
Liu Y, Zhou Y, Mao T, Huang Y, Liang J, Zhu M, Yao P, Zong Y, Lang J, Zhang Y
Journal
BMC women's health
Year
2022
Keywords:
16S ribosomal RNA gene sequencing, Functional prediction, Gut microbes, Gut microbiota dysbiosis, Menopausal syndrome
BACKGROUND: Gut microbes were closely related to women's health. Previous studies reported that the gut microbes of premenopausal women were different from those of postmenopausal women. However, little was known about the relationship between gut microbiota dysbiosis and menopausal syndrome (MPS). The aim of this study was to explore the relationship between MPS and gut microbes. METHODS: Patients with MPS (P group, n = 77) and healthy women (H group, n = 24) at menopause were recruited in this study. The stool specimen and clinical parameters (demographic data, follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), et al) of participants' were collected. We evaluated the differences in gut microbes by 16S ribosomal RNA gene sequencing. We used LEfSe to identify gut microbes with varying abundances in different groups. The Spearman correlation coefficients of clinical parameters and gut microbes were calculated. PICRUSt was used to predict the potential KEGG Ortholog functional profiles of microbial communities. RESULTS: The abundance of 14 species differed substantially between the MPS and menopausal healthy women (LDA significance threshold > 2.0) according to LEfSe analysis. Using Spearman's correlation analysis, it was discovered that E2 had a positive correlation with Aggregatibacter segnis, Bifidobacterium animalis, Acinetobacter guillouiae (p < 0.05, these three species were enriched in menopausal healthy women), while FSH and LH had a negative correlation with them (p < 0.05). KEGG level3 metabolic pathways relevant to cardiovascular disease and carbohydrate metabolism were enriched in the MPS (p < 0.05), according to functional prediction by PICRUST and analyzed by Dunn test. CONCLUSION: There was gut microbiota dysbiosis in MPS, which is reflected in the deficiency of the abundance of Aggregatibacter segnis, Bifidobacterium animalis and Acinetobacter guillouiae related to the level of sex hormones. In MPS individuals, species with altered abundances and unique functional pathways were found.
Experiment 1
Needs review
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
- Menopausal or post-menopausal disease menopausal or post-menopausal disorder,Menopausal or post-menopausal disease,menopausal or post-menopausal disease
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Healthy women
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Menopausal Syndrome (MPS)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients with Menopausal Syndrome (MPS)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 24
- Group 1 sample size Number of subjects in the case (exposed) group
- 77
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 2 weeks
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
- 2.0
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
- Chao1 Abundance-based estimator of species richness
- unchanged
Signature 1
Needs review
Source: Figure 2D
Description: Taxa enriched in the case group indicated with a positive LDA score (red) and negative LDA score (green).
Abundance in Group 1: increased abundance in Menopausal Syndrome (MPS)
Revision editor(s): Aleru Divine
Signature 2
Needs review
Source: Figure 2D
Description: Taxa enriched in the case group indicated with a positive LDA score (red) and negative LDA score (green).
Abundance in Group 1: decreased abundance in Menopausal Syndrome (MPS)
Revision editor(s): Aleru Divine
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