Evidence map›Paper›PMID 36338055›Full record

ArticleFrontiers in microbiology2022

Multi-omics analyses reveal the specific changes in gut metagenome and serum metabolome of patients with polycystic ovary syndrome.

Zhandong Yang, Huijiao Fu, Huihui Su, Xuzi Cai, Yan Wang, Yanjun Hong, Jing Hu, Zhiyong Xie, Xuefeng Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 7 pooled it
6.8field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 7 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Zhandong YangDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Huijiao FuDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Huihui SuInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, China.
Xuzi CaiDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Yan WangDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Yanjun HongSchool of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou, China.
Jing HuDepartment of Obstetrics and Gynecology, Jianli Fourth People's Hospital, Jingzhou, China.
Zhiyong XieSchool of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou, China.
Xuefeng WangDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Third Affiliated Hospital of Southern Medical University · CNSun Yat-sen University · CNFirst People's Hospital of Jingzhou · CNGuangdong Academy of Sciences · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study was to investigate the specific alterations in gut microbiome and serum metabolome and their interactions in patients with polycystic ovary syndrome (PCOS). Methods: The stool samples from 32 PCOS patients and 18 healthy controls underwent the intestinal microbiome analysis using shotgun metagenomics sequencing approach. Serum metabolome was analyzed by ultrahigh performance liquid chromatography quadrupole time-of-flight mass spectrometry. An integrative network by combining metagenomics and metabolomics datasets was constructed to explore the possible interactions between gut microbiota and circulating metabolites in PCOS, which was further assessed by fecal microbiota transplantation (FMT) in a rat trial. Results: Fecal metagenomics identified 64 microbial strains significantly differing between PCOS and healthy subjects, half of which were enriched in patients. These changed species showed an ability to perturb host metabolic homeostasis (including insulin resistance and fatty acid metabolism) and inflammatory levels (such as PI3K/Akt/mTOR signaling pathways) by expressing sterol regulatory element-binding transcription factor-1, serine/threonine-protein kinase mTOR, and 3-oxoacyl-[acyl-cattier-protein] synthase III, possibly suggesting the potential mechanisms of gut microbiota underlying PCOS. By integrating multi-omics datasets, the panel comprising seven strains ( Conclusion: Our findings revealed key microbial and metabolite features and their interactions underlying PCOS by integrating multi-omics approaches, which may provide novel insights into discovering clinical diagnostic biomarkers and developing efficient therapeutic strategies for PCOS.

Indexed as

fecal microbiota transplantationgut microbiotapolycystic ovary syndromeserum metabolomeshotgun metagenomicsuntargeted metabolomics

Identifiers

PMID36338055
PMCPMC9627625
OpenAlexW4306775982

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.