Metagenomic analysis revealed the association between gut microbiota and different ovary responses to controlled ovarian stimulation

From BugSigDB
Reviewed Marked as Reviewed by KateRasheed on 2025-5-3
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Fo X, Pei ML, Liu PJ, Zhu F, Zhang Y, Mu X
Journal
Scientific reports
Year
2024
Keywords:
Controlled ovarian stimulation, FOI, Gut microbiome, Metagenomic analysis, Ovary responses
The aim of this study was to assess the correlation between gut microbial taxonomy and various ovarian responses to controlled ovarian stimulation. A total of 22 IVF cycles with a follicle-to-oocyte index (FOI) < 0.5 and 25 IVF cycles with FOI ≥ 0.5 were included in this study. Baseline demographic characteristics were compared between the two groups. Metagenomic sequencing was performed to analyze fecal microbial community profiles. Mice were used to evaluate the effect of Bifidobacterium_longum on ovarian response to stimulation. Compared with FOI < 0.5 group, women in group with FOI ≥ 0.5 had significant more oocytes retrieved (p < 0.01). Prevotella_copri, Bateroides_vulgatus, Escherichia_coli and Bateroides_stercoris were more abundant in FOI < 0.5 group while Bifidobacterium_longum, Faecalibacterium_prausnitzii, Ruminococcus_gnavus and Bifidobacterium_pseudocatenula were more abundant in FOI ≥ 0.5 group. After adjusting for women's age and BMI, Pearson correlation analysis indicated alteration of gut microbiome was related with serum E2, FSH, number of oocytes retrieved and clinical pregnancy rate. Animal study showed ovarian response will be improved after Bifidobacterium_longum applied. An increased abundance of Bacteroidetes and Prevotella copri, as well as a decreased abundance of Bifidobacterium longum, have been found to be associated with poor ovarian responsiveness. Changes in gut microbiomes have been observed to be correlated with certain clinical characteristics. The potential enhancement of ovarian response may be facilitated by the integration of Bifidobacterium longum.

Experiment 1


Reviewed Marked as Reviewed by KateRasheed on 2025-5-3

Curated date: 2025/04/17

Curator: Nithya

Revision editor(s): Nithya, Svetlana up

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
Hormone replacement therapy HORMONE REPLACE THER,Hormone Replacement Therapies,Hormone Replacement Therapy,REPLACE THER HORMONE,Replacement Therapies, Hormone,Replacement Therapy, Hormone,THER HORMONE REPLACE,Therapies, Hormone Replacement,Therapy, Hormone Replacement,Hormone replacement therapy,hormone replacement therapy
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Follicle to Oocyte Index (FOI) >=0.5
Group 1 name Corresponds to the case (exposed) group for case-control studies
Low Ovarian Sensitivity Follicle to Oocyte Index(FOI)<0.5
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients who were hypo responsive with follicle-to-oocyte index <0.5.
Group 0 sample size Number of subjects in the control (unexposed) group
25
Group 1 sample size Number of subjects in the case (exposed) group
22
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
1 month

Lab analysis

Sequencing type
WMS
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

Statistical test
Mann-Whitney (Wilcoxon)
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

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
unchanged

Signature 1

Reviewed Marked as Reviewed by KateRasheed on 2025-5-3

Curated date: 2025/04/17

Curator: Nithya

Revision editor(s): Nithya

Source: Figure 3

Description: Significantly different microbiomes between two groups at species level

Abundance in Group 1: increased abundance in Low Ovarian Sensitivity Follicle to Oocyte Index(FOI)<0.5

NCBI Quality ControlLinks
Alistipes putredinis
Bacteroides caccae
Bacteroides salyersiae
Barnesiella intestinihominis
Clostridium sp. CAG:58
Coprococcus eutactus
Corynebacterium durum
Proteus mirabilis

Revision editor(s): Nithya

Signature 2

Reviewed Marked as Reviewed by KateRasheed on 2025-5-3

Curated date: 2025/04/21

Curator: Nithya

Revision editor(s): Nithya

Source: Figure 3

Description: Significantly different microbiomes between two groups at species level

Abundance in Group 1: decreased abundance in Low Ovarian Sensitivity Follicle to Oocyte Index(FOI)<0.5

NCBI Quality ControlLinks
Bifidobacterium longum
Actinomyces graevenitzii
Actinomyces johnsonii
Actinomyces oris

Revision editor(s): Nithya