Evidence map›Paper›PMID 39399434›Full record

ArticlePeerJ2024

The vaginal metabolomics profile with features of polycystic ovary syndrome: a pilot investigation in China.

Yan Xuan, Xiang Hong, Xu Zhou, Tao Yan, Pengfei Qin, Danhong Peng, Bei Wang

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Targeted metabolomics and fatty acid profiling in lean and obese polycystic ovarian syndrome patients: A pilot study.European journal of obstetrics & gynecology and reproductive biology: X · 2026
    Article
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

7 authors.

Yan XuanDepartment of Epidemiology and Health Statistics, Southeast University, Nanjing, Jiangsu, China.
Xiang HongDepartment of Epidemiology and Health Statistics, Southeast University, Nanjing, Jiangsu, China.
Xu ZhouDepartment of Epidemiology and Health Statistics, Southeast University, Nanjing, Jiangsu, China.
Tao YanDepartment of Epidemiology and Health Statistics, Southeast University, Nanjing, Jiangsu, China.
Pengfei QinNanjing Women and Children's Healthcare Hospital, The Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Danhong PengDepartment of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Bei WangDepartment of Epidemiology and Health Statistics, Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is the most common metabolic disorder and reproductive endocrine disease, posing an elevated risk to women of reproductive age. Although metabolism differences in serum, amniotic fluid and urine have been documented in PCOS, there remains a paucity of evidence for vaginal fluid. This study aimed to identify the metabolic characteristics and potential biomarkers of PCOS in Chinese women of reproductive age. Methods: We involved ten newly diagnosed PCOS women who attended gynecology at Zhongda Hospital and matched them with ten healthy controls who conducted health check-up programs at Gulou Maternal and Child Health Center in Nanjing, China from January 1st, 2019 to July 31st, 2020. Non-targeted metabolomics based on ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) was applied to differentially screen vaginal metabolites between PCOS group and healthy controls. Principal component analysis (PCA), orthogonal partial least-squares discriminant analysis (OPLS-DA) and enrichment analysis were used to observe differences, search for potential biomarkers and enrich related pathways. Results: Among the 20 participants, a total of 195 different metabolites were detected between PCOS group and healthy control group. PCOS and control groups were effectively separated by vaginal fluid. Lipids and lipid-like molecules constituted the majority of differential metabolites. Notably, dopamine exhibited an increased trend in PCOS group and emerged as the most significant differential metabolite, suggesting its potential as a biomarker for identifying PCOS. The application of UHPLC-MS/MS based vaginal metabolomics methods showed significant differences between PCOS and non-PCOS healthy control groups, especially linoleic acid metabolism disorder. Most differential metabolites were enriched in pathways associated with linoleic acid metabolism, phenylalanine metabolism, tyrosine metabolism, nicotinate and nicotinamide metabolism or arachidonic acid metabolism. Conclusions: In this pilot investigation, significant metabolomics differences could be obtained between PCOS and healthy control groups. For PCOS women of reproductive age, vaginal metabolism is a more economical, convenient and harmless alternative to provide careful personalized health diagnosis and potential targets for therapeutic intervention.

Indexed as

BiomarkersMetabolomicsPolycystic Ovary SyndromeVaginaAdultCase-Control StudiesChinaChromatography, High Pressure LiquidFemaleHumansMetabolomePilot ProjectsTandem Mass SpectrometryYoung AdultBiomarkersLiquid chromatography–mass spectrometryMetabolomicsPilot investigationPolycystic ovary syndromeVaginal fluid

Identifiers

PMID39399434
PMCPMC11468964

What Socratic holds

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LicenceCC BY
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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.