Evidence map›Paper›PMID 40192074›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Gut Microbiota Modulation by Inulin Improves Metabolism and Ovarian Function in Polycystic Ovary Syndrome.

Lulu Geng, Xin Yang, Jiani Sun, Ximing Ran, Dan Zhou, Mingming Ye, Li Wen, Ruirui Wang, Miaoxin Chen

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

9 authors.

Lulu GengCentre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.ORCID https://orcid.org/0000-0003-4655-3228
Xin YangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.ORCID https://orcid.org/0000-0001-7799-7425
Jiani SunCentre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Ximing RanDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
Dan ZhouCentre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Mingming YeCentre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Li WenSection of Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, 06520, USA.
Ruirui WangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.ORCID https://orcid.org/0000-0002-2766-9420
Miaoxin ChenCentre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.ORCID https://orcid.org/0000-0001-6625-209X

Funding

National Natural Science Foundation of China 81671468National Natural Science Foundation of China 81871213Science and Technology Commission of Shanghai Municipality 23Y11909600Shanghai Collaborative Innovation Center for Chronic Disease Prevention and Health Services 2021ScienceandTechnology02-37Shanghai Municipal Hospital Development Center SHDC2020CR4080Talent reservoir program of Shanghai First Maternity and Infant Hospital 1365
6 · The paper itself

Abstract

The management of metabolic disorder associated with polycystic ovary syndrome (PCOS) has been suggested as an effective approach to improve PCOS which is highly involved with gut microbiota, while the underlying mechanism is unclear. Here, we investigated the role of inulin, a gut microbiota regulator, in the alleviation of PCOS. Our findings showed that inulin treatment significantly improved hyperandrogenism and glucolipid metabolism in both PCOS cohort and mice. Consistent with the cohort, inulin increased the abundance of microbial co-abundance group (CAG) 12 in PCOS mice, including Bifidobacterium species and other short-chain fatty acids (SCFAs)-producers. We further verified the enhancement of SCFAs biosynthesis capacity and fecal SCFAs content by inulin. Moreover, inulin decreased lipopolysaccharide-binding protein (LBP) and ameliorated ovarian inflammation in PCOS mice, whereas intraperitoneal lipopolysaccharide (LPS) administration reversed the protective effects of inulin. Furthermore, fecal microbiota transplantation (FMT) from inulin-treated patients with PCOS enhanced insulin sensitivity, improved lipid accumulation and thermogenesis, reduced hyperandrogenism and ovarian inflammatory response in antibiotic-treated mice. Collectively, these findings revealed that gut microbiota mediates the beneficial effects of inulin on metabolic disorder and ovarian dysfunction in PCOS. Therefore, modulating gut microbiota represents a promising therapeutic strategy for PCOS.

Indexed as

Gastrointestinal MicrobiomeInulinOvaryPolycystic Ovary SyndromeAnimalsDisease Models, AnimalFatty Acids, VolatileFecal Microbiota TransplantationFemaleHumansMiceFatty Acids, VolatileInulinfecal microbiota transplantationgut microbiotainulinpolycystic ovary syndromeshort‐chain fatty acids

Identifiers

PMID40192074
PMCPMC12120758

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.