Evidence map›Paper›PMID 41497889›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Characteristic Gut Microbiota in PCOS-IR Patients and Its Association with Endocrine Features.

Wenyi Liang, Yanning Yao, Xinyang Ren, Anran Xue, Mengcheng Cai, Jin Yu, Chaoqin Yu, Ling Zhou, DongXia Zhai

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Wenyi Liang *School of Pharmacy, Naval Medical University, Shanghai, People's Republic of China.
Yanning Yao *Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Xinyang RenShanghai Pinghe School, Shanghai, People's Republic of China.
Anran XueSchool of Clinical Medicine, Southwest Medical University, Lu Zhou, Sichuan, People's Republic of China.
Mengcheng CaiDepartment of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Jin YuDepartment of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Chaoqin YuDepartment of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Ling ZhouDepartment of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
DongXia ZhaiDepartment of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study is to explore the changes of gut microbiota, the metabolic characteristics and sex hormones in polycystic ovary syndrome with insulin resistance (PCOS-IR), and to clarify the role of gut microbiota in the occurrence of this condition. Methods: We established a rat model of PCOS-IR using dehydroepiandrosterone (DHEA) combined with a high-fat diet, and recruited patients who met the clinical diagnostic criteria for PCOS-IR. We measured metabolic parameters and sex hormone profiles, and analyzed gut microbiota characteristics via high-throughput 16S rRNA sequencing. We also conducted microbial transplantation experiments to verify the causal relationship between gut microbiota and PCOS-IR. Results: In PCOS-IR rats, we observed significant endocrine-metabolic disturbances and alterations in gut microbiota β-diversity, characterized by an enrichment of Conclusion: Our findings show that gut microbiota disturbance leads to endocrine and metabolic features resembling PCOS-IR. The gut microbiota, particularly

Indexed as

gut microbiotainsulin resistancemetabolismpolycystic ovary syndrome

Identifiers

PMID41497889
PMCPMC12765708

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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.