Evidence map›Paper›PMID 41971328›Full record

ArticleFrontiers in microbiology2026

The gut microbiota-metabolite axis in polycystic ovary syndrome: differential characteristics between infertile and conceived populations.

Shen Lin, Shi-Yi Qi, Dan-Ting Ma, Juan Yang, Xue-Li Chen, Tong Lin, Huan-Huan Gao, Hui-Yu Chen, Yu-Nan He, Jie Lin and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Shen Lin *Department of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Shi-Yi Qi *School of Acupuncture-Moxibustion and Tuina, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Dan-Ting Ma *Department of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Juan YangDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Xue-Li ChenDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Tong LinDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Huan-Huan GaoDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Hui-Yu ChenDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Yu-Nan HeSchool of Acupuncture-Moxibustion and Tuina, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Jie LinDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Jia-Hui QiuDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Di LiuComputational Virology Group, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Jin-Bang XuDepartment of Traditional Chinese Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infertility affects 70-80% of women with polycystic ovary syndrome (PCOS). However, the clinical, microbial, and metabolic factors that distinguish infertile PCOS patients from those who conceive remain poorly defined. Methods: This cross-sectional study enrolled 80 PCOS patients (35 with prior spontaneous conception [PCOS-Control] and 45 infertile [PCOS-Infertile]). Clinical characteristics, reproductive hormones, and metabolic parameters were assessed. Gut microbiota composition was analyzed by 16S rRNA sequencing, and serum metabolomic profiling was performed using UPLC-QTOF-MS. Multi-omics integration and machine learning were applied to identify discriminative features. Results: Infertile patients exhibited significantly higher testosterone levels and LH/FSH ratios. While overall gut microbial diversity was similar, taxon-specific analysis revealed enrichment of Conclusion: Infertility in PCOS is associated with distinct gut microbiota and serum metabolite signatures, characterized by specific microbial taxa shifts and metabolic dysregulation. These findings provide potential biomarkers for clinical stratification and offer insights into the microbiota-metabolite-fertility axis in PCOS.

Indexed as

biomarkersgut microbiotainfertilitymetabolomicspolycystic ovary syndrome

Identifiers

PMID41971328
PMCPMC13067366

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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.