Evidence map›Paper›PMID 35622782›Full record

ArticlePloS one2022

Characteristics of the gut microbiota in women with premenstrual symptoms: A cross-sectional study.

Takashi Takeda, Kana Yoshimi, Sayaka Kai, Genki Ozawa, Keiko Yamada, Keizo Hiramatsu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Physical, Psychological, and Behavioral Symptoms of Premenstrual Syndrome in Relation to Body Size and Shape.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  7. Bacteraemia due toClinical case reports · 2025
    Article
  8. Gut bacteriome and mood disorders in women with PCOS.Human reproduction (Oxford, England) · 2024
    Article
  9. Emerging Perspectives on the Impact of Diabetes Mellitus and Anti-Diabetic Drugs on Premenstrual Syndrome. A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Takashi TakedaDivision of Women's Health, Research Institute of Traditional Asian Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.ORCID 0000-0003-2428-1946
Kana YoshimiDivision of Women's Health, Research Institute of Traditional Asian Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Sayaka KaiDivision of Women's Health, Research Institute of Traditional Asian Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Genki OzawaTechnoSuruga Laboratory Co. Ltd., Shizuoka, Japan.
Keiko YamadaDepartment of Anesthesiology and Pain Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-4378-3290
Keizo HiramatsuHiramatsu Women's Clinic, Fujiidera, Osaka, Japan.
Kindai University · JPFuji Women's University · JPJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePremenstrual symptoms can negatively impact the quality of life of women through a range of mood, behavioral, and physical symptoms. The association between the microbiota and brain function has been extensively studied. Here, we examined the characteristics of the microbiota in women with premenstrual disorders (PMDs) and the association between premenstrual symptoms and the microbiota. MATERIALS AND

methodsIn this single center cross-sectional pilot study, we recruited 27 women reporting premenstrual symptoms and 29 women with no serious premenstrual symptoms. Among them, we further selected 21 women experiencing premenstrual symptoms resulting in interference to their social life (PMDs group) and 22 women with no serious premenstrual symptoms and thereby no interference to their social life (control group). The severity of symptoms was evaluated by a premenstrual symptoms questionnaire (PSQ). Inflammatory markers were analyzed in blood samples, including C reactive protein, soluble CD14, and lipopolysaccharide binding protein. Sequencing of 16S ribosomal ribonucleic acid genes was performed on stool samples.

resultsInflammatory markers in blood samples did not differ significantly between the PMDs and control groups. A difference in beta, but not alpha diversity, was detected for the gut microbiotas of the PMDs and control groups. The relative abundance of the Bacteroidetes phylum was lower in the PMDs group. At the genus level, the prevalence was decreased for Butyricicoccus, Extibacter, Megasphaera, and Parabacteroides and increased for Anaerotaenia in the PMDs group, but after false discovery rate correction, these differences were no longer significant. Linear discriminant effect size analysis revealed a decrease in Extibacter, Butyricicoccus, Megasphaera, and Parabacteroides and an increase in Anaerotaenia in the PMDs group. The PSQ total score correlated with Anaerotaenia, Extibacter, and Parabacteroides. Multiple regression analysis showed that Parabacteroides and Megasphaera negatively predicted the PSQ total score.

conclusionThe properties of the gut microbiota are associated with premenstrual symptoms.

Indexed as

Gastrointestinal MicrobiomePremenstrual SyndromeBacteroidetesClostridiaceaeCross-Sectional StudiesEubacterialesFemaleHumansPilot ProjectsQuality of Life

Identifiers

PMID35622782
PMCPMC9140228
OpenAlexW4281836236

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.