Correlation Between Fecal Metabolomics and Gut Microbiota in Obesity and Polycystic Ovary Syndrome

From BugSigDB
Reviewed Marked as Reviewed by Peace Sandy on 2024-1-10
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Zhou L, Ni Z, Yu J, Cheng W, Cai Z, Yu C
Journal
Frontiers in endocrinology
Year
2020
Keywords:
biomarkers, gut microbiota, obesity, polycystic ovary syndrome, untargeted metabolomics
Objective: This study aimed to explore the relationship between the fecal metabolites and gut microbiota in obese patients with PCOS and provide a new strategy to elucidate the pathological mechanism of obesity and PCOS. Methods: The fecal samples of obese patients with PCOS (n = 18) and obese women without PCOS (n = 15) were analyzed by 16S rRNA gene sequencing and untargeted metabolomics. The peripheral venous blood of all subjects was collected to detect serum sex hormones. The association among fecal metabolites, gut microbiota, and serum sex hormones was analyzed with the R language. Results: A total of 122 named differential fecal metabolites and 18 enrichment KEGG pathways were obtained between the groups. Seven fecal metabolites can be used as characteristic metabolites, including DHEA sulfate. The richness and diversity of gut microbiota in the obese PCOS group were lower than those in the control group. Lachnoclostridium, Fusobacterium, Coprococcus_2, and Tyzzerela 4 were the characteristic genera of the obese patients with PCOS. Serum T level significantly and positively correlated with the abundance of fecal DHEA sulfate (p < 0.05), and serum DHEAS level significantly and negatively correlated with the abundance of fecal teasterone (p < 0.05). Conclusion: Specific fecal metabolites may be used as characteristic metabolites for obese patients with PCOS. The closely relationship among gut microbiota, fecal metabolites, and serum sex hormones may play a role in the related changes caused by hyperandrogenemia.

Experiment 1


Reviewed Marked as Reviewed by Peace Sandy on 2024-1-10

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Victoria

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
Polycystic ovary syndrome Cystic disease of ovaries,hyperandrogenemia,Multicystic ovaries,multicystic ovaries,Ovarian Degeneration, Sclerocystic,Ovarian Syndrome, Polycystic,Ovarian Syndromes, Polycystic,Ovaries, Sclerocystic,Ovary Syndrome, Polycystic,Ovary, Sclerocystic,PCO - Polycystic ovaries,Pco1,PCOD - Polycystic ovarian disease,PCOS,Pcos,PCOS - Polycystic ovarian syndrome,PCOS1,Polycystic ovarian disease,polycystic ovarian disease,Polycystic ovarian syndrome,Polycystic ovaries,polycystic ovaries,Polycystic ovaries (disorder),polycystic ovary,polycystic ovary syndrome,polycystic ovary syndrome 1,Sclerocystic Ovarian Degeneration,Sclerocystic Ovaries,Sclerocystic Ovary,Sclerocystic Ovary Syndrome,Stein Leventhal Syndrome,Stein-Leventhal synd.,Stein-Leventhal Syndrome,Stein-Leventhal syndrome,Syndrome, Polycystic Ovary,Syndrome, Stein-Leventhal,Polycystic ovary syndrome
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Obese women without PCOS
Group 1 name Corresponds to the case (exposed) group for case-control studies
Obese women with PCOS
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Obese women with PCOS
Group 0 sample size Number of subjects in the control (unexposed) group
15
Group 1 sample size Number of subjects in the case (exposed) group
18
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
3 months.

Lab analysis

Sequencing type
16S
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).
raw counts
Statistical test
Linear Regression
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, body mass index

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Richness Number of species
unchanged
Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
unchanged

Signature 1

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-10

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Peace Sandy

Source: Figure 3(G)

Description: LDA chart. The score was obtained by LDA analysis (linear regression analysis). The greater the LDA score, the greater the impact of the representative species abundance on the differences between groups. *p < 0.05; **p < 0.01.

Abundance in Group 1: increased abundance in Obese women with PCOS

NCBI Quality ControlLinks
Coprococcus
Fusobacterium
Lachnoclostridium
Tyzzerella

Revision editor(s): Atrayees, Peace Sandy

Signature 2

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-10

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Peace Sandy

Source: Figure 3(G)

Description: LDA chart. The score was obtained by LDA analysis (linear regression analysis). The greater the LDA score, the greater the impact of the representative species abundance on the differences between groups. *p < 0.05; **p < 0.01.

Abundance in Group 1: decreased abundance in Obese women with PCOS

NCBI Quality ControlLinks
Alistipes
Bacteroidales
Butyricimonas
Christensenellaceae
Comamonas
Coprococcus
Defluviitaleaceae
Eubacteriales
Harryflintia
Holdemania
Lachnospiraceae
Mollicutes
Mycoplasmatota
Odoribacter
Oscillospiraceae
Peptococcaceae
Ruminiclostridium
Ruminococcaceae bacterium UCG-005
Solobacterium
Subdoligranulum
unclassified Bacteroidales

Revision editor(s): Atrayees, Peace Sandy