Gut microbiome in PCOS associates to serum metabolomics: a cross-sectional study

Study information

Reviewed Marked as Reviewed by Svetlana up on 2025-2-4

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

36564416

DOI Digital object identifier for electronic documents.

10.1038/s41598-022-25041-4

URI

Authors

Yu Z, Qin E, Cheng S, Yang H, Liu R, Xu T, Liu Y, Yuan J, Yu S, Yang J, Liang F

Journal

Scientific reports

Year

2022

The association between gut microbiome and chronic metabolic disease including polycystic ovary syndrome (PCOS), is well documented, however, the relationship between the gut microbiota and serum metabolites remains unknown. In this study, untargeted metabolomics together with a 16S rRNA gene sequencing tool was used to detect small molecule serum metabolites and the gut microbiome. We identified 15 differential metabolites between PCOS patients and the healthy control. Lysophosphatidylcholine (LPC) (18:2, 20:3, 18:1, P-16:0, 17:0, 15:0, 18:3, 20:4), phosphatidylcholine(PC), ganglioside GA2 (d18:1/16:0) and 1-linoleoylglycerophosphocholine were increased in the PCOS group, and the concentrations of phosphoniodidous acid, bilirubin, nicotinate beta-D-ribonucleotide and citric acid were decreased in the PCOS group, suggesting a lipid metabolism and energy metabolism disorder in the PCOS patients. The diversity of gut microbiota in PCOS group was lower than that in healthy controls. Escherichia/Shigella, Alistipes and an unnamed strain 0319_6G20 belonging to Proteobacteria were important distinguishing genera (LDA > 3.5) in PCOS. Prevotella_9 was positively correlated with phosphoniodidous acid, nicotinate beta-D-ribonucleotide and citric acid concentrations, and negatively correlated with the concentration of LPC (20:3) and 1-linoleoylglycerophosphocholine; Roseburia was negatively correlated with LPC concentration (20:4), while the characteristic genus 0319_6G20 of PCOS was positively correlated with LPC concentration (20:3) (COR > 0.45). SF-36 in the PCOS group was significantly lower than that in the healthy control (HC) group, which was associated with the presence of Escherichia-Shigella and Alistipes. Our finding demonstrated the correlation between the gut microbiota and serum metabolites in PCOS, and therefore characteristic gut microbiota and metabolites may play an important role in the insulin resistance and the mood changes of PCOS patients.

Experiment 1

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Reviewed Marked as Reviewed by Svetlana up on 2025-2-4

Curated date: 2024/12/31

Curator: Joiejoie

Revision editor(s): WikiWorks, Svetlana up, Joiejoie, Taofeecoh

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: healthy controls (HC)

Group 1 name Corresponds to the case (exposed) group for case-control studies: Polycystic Ovary Syndrome (PCOS)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: This group consists of women diagnosed with Polycystic Ovary Syndrome (PCOS), based on the Rotterdam criteria, requiring at least two of the following: clinical and/or biochemical hyperandrogenism, oligo- and/or anovulation, and polycystic ovaries.

Group 0 sample size Number of subjects in the control (unexposed) group: 20

Group 1 sample size Number of subjects in the case (exposed) group: 20

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: 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

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 3.5

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: geographic area

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: decreased

Chao1 Abundance-based estimator of species richness: decreased

Signature 1

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Curated date: 2025/01/27

Curator: Joiejoie

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Source: Figure 3D

Description: Differential abundance of microbial taxa in relation to PCOS (Polycystic Ovary Syndrome).

Abundance in Group 1: increased abundance in Polycystic Ovary Syndrome (PCOS)

NCBI	Quality Control	Links
Acidimicrobiia
Alistipes
Alphaproteobacteria
Enterobacterales
Enterobacteriaceae
Escherichia/Shigella sp.
Gammaproteobacteria
Pseudomonadota
Rikenellaceae
g_0319_6G20g_0319_6G20
f_0319_6G20f_0319_6G20

Revision editor(s): Joiejoie, WikiWorks

Signature 2

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Mark reviewed

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Curated date: 2025/01/29

Curator: Joiejoie

Revision editor(s): WikiWorks, Svetlana up, Joiejoie, Taofeecoh

Source: Figure 3D

Description: Differential abundance of microbial taxa in relation to PCOS (Polycystic Ovary Syndrome).

Abundance in Group 1: decreased abundance in Polycystic Ovary Syndrome (PCOS)

NCBI	Quality Control	Links
Christensenellaceae
Clostridia
Eubacteriales
Oscillospiraceae
Sarcina
Subdoligranulum
g_CAG_352g_CAG_352
g_Christensenellaceae_R_7_groupg_Christensenellaceae_R_7_group
Faecalibacterium

Revision editor(s): WikiWorks, Svetlana up, Joiejoie, Taofeecoh