Evidence mapPaperPMID 41377049Full record

ReviewFrontiers in microbiology2025

Gut microbiota dysbiosis in polycystic ovary syndrome: focus on diet, probiotics, and traditional Chinese medicine.

Shuangquan Zhu, Hao Chen, Bing He, Yi Zhang, Ping Li, Jilin Kuang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
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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.

Shuangquan ZhuGynecology Department, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Hao ChenThe First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Bing HeGynecology Department, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Yi ZhangGynecology Department, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Ping LiGynecology Department, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Jilin KuangGynecology Department, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, primarily characterized by symptoms such as ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology. In recent years, research has revealed that gut microbiota dysbiosis plays a crucial role in the pathogenesis of PCOS. Diet, as an essential factor in regulating gut microbiota, significantly impacts the clinical presentation and metabolic status of PCOS patients. Although substantial research has explored the relationship between PCOS and gut microbiota, many controversies and gaps remain, including the unclear mechanisms by which dietary structure and nutritional interventions specifically influence PCOS. This review aims to summarize the interaction between PCOS and gut microbiota, explore the role of diet in modulating gut microbiota and improving the pathological state of PCOS, and evaluate the potential therapeutic effects of probiotics, high-fat diets, and ketogenic diets on PCOS. Ultimately, it looks forward to personalized nutritional treatment strategies based on gut microbiota and future research directions, providing new insights into the treatment of PCOS.

Indexed as

gut microbiotahigh-fat dietsketogenic dietspolycystic ovary syndrometraditional Chinese medicine

Identifiers

PMID41377049
PMCPMC12685912

What Socratic holds

Textmetadata
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 Socratic graph.