Characteristics of the Gut Microbiota in Japanese Patients with Premenstrual Syndrome

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Okuma K, Kono K, Otaka M, Ebara A, Odachi A, Tokuno H, Masuyama H
Journal
International journal of women's health
Year
2022
Keywords:
16S rRNA, Collinsella, gut microbiota, premenstrual syndrome
PURPOSE: The present study aimed to characterize the gut microbiota of individuals with premenstrual syndrome. PATIENTS AND METHODS: The gut microbiota of 24 Japanese women with PMS (PMS group) and 144 healthy Japanese women (control group) were compared. Analysis of the α- and β-diversities and the gut microbial composition at the genus level were performed using 16S rRNA gene sequence data obtained from stool samples. RESULTS: A significant difference in age was observed between the PMS and control groups; however, no significant difference was observed in BMI. The α-diversity measured using the Simpson index was significantly higher in the PMS group than the control group. Visualization of the β-diversity using non-metric multidimensional scaling and permutational multivariate analysis of variance (PERMANOVA) showed that the distance of the gut microbiota between the PMS and control groups is significantly different. Furthermore, a significant difference in the composition of the gut microbiota was observed between the PMS and control groups. At the genus level, the abundances of Collinsella, Bifidobacterium, and Blautia were significantly higher in the PMS group than in the control group. In particular, the abundance of Collinsella in the PMS group was approximately 4.5 times higher than that in the control group. To rule out the confounding effect of age in the abundances of Bifidobacterium, Blautia, and Collinsella, the gut microbiota of the PMS and control groups were compared by age group. Results showed that Collinsella had the highest effect size in participants of 30-40 years of age (mean age: 36.39 ± 4.68 years). CONCLUSION: These results suggest that the PMS group possesses a characteristic gut microbiota. In particular, Collinsella was strongly associated with PMS. Since Collinsella has been reported to be associated with diet, dietary interventions such as prebiotics targeting Collinsella may be effective in preventing, improving, and alleviating PMS.

Experiment 1


Needs review

Curated date: 2025/05/13

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Subjects

Location of subjects
Japan
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
Menstrual disorder Menstrual disorder,menstrual disorder
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Control group
Group 1 name Corresponds to the case (exposed) group for case-control studies
Premenstrual syndrome (PMS) group
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants who passed the criteria for premenstrual syndrome (PMS),
Group 0 sample size Number of subjects in the control (unexposed) group
144
Group 1 sample size Number of subjects in the case (exposed) group
24
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
1 week

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V1-V3
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).
centered log-ratio
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)?
No
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age

Alpha Diversity

Pielou Quantifies how equal the community is numerically
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased
Richness Number of species
increased

Signature 1

Needs review

Curated date: 2025/05/13

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Figure 4

Description: Significant differences in the gut microbial abundance at the genus level between the PMS and control groups.

Abundance in Group 1: increased abundance in Premenstrual syndrome (PMS) group

NCBI Quality ControlLinks
Collinsella
Blautia
Bifidobacterium
Enterocloster
Sellimonas
Thomasclavelia
Flavonifractor
Eggerthella
Phocaeicola
Dysosmobacter
Faecalimonas
Ruminococcus
Massilimicrobiota
Holdemania
Streptococcus

Revision editor(s): Aleru Divine

Signature 2

Needs review

Curated date: 2025/05/13

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Figure 4

Description: Significant differences in the gut microbial abundance at the genus level between the PMS and control groups.

Abundance in Group 1: decreased abundance in Premenstrual syndrome (PMS) group

NCBI Quality ControlLinks
Dialister
Oscillibacter

Revision editor(s): Aleru Divine