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

Study information

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

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

33013704

DOI Digital object identifier for electronic documents.

10.3389/fendo.2020.00628

URI Uniform resource identifier for web resources.

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

Edit History Delete

Flag for review

Your review change was submittedDuplicate this Experiment Add a new Signature

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

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Victoria, WikiWorks

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

Edit History Delete

Flag for review

Your review change was submitted

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

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Peace Sandy, WikiWorks

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 Control	Links
Coprococcus
Fusobacterium
Lachnoclostridium
Tyzzerella

Revision editor(s): Atrayees, Peace Sandy, WikiWorks

Signature 2

Edit History Delete

Flag for review

Your review change was submitted

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

Curated date: 2023/07/06

Curator: Atrayees

Revision editor(s): Atrayees, Peace Sandy, WikiWorks

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 Control	Links
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, WikiWorks