Evidence map›Paper›PMID 34416878›Full record

ArticleBMC medical genomics2021

Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome.

Ying Yu, Panli Tan, Zhenchao Zhuang, Zhejiong Wang, Linchao Zhu, Ruyi Qiu, Huaxi Xu

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  11. Polycystic Ovarian Syndrome: A Review of Multi-omics Analyses.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
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  19. Modulation of Caecal Microbiota and Metabolome Profile inInternational journal of molecular sciences · 2023
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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

7 authors at 1 institution in 1 country.

Ying YuInstitute of Laboratory Medicine, Jiangsu Key Laboratory of Laboratory Medicine, Jiangsu University, Zhenjiang, 210013, Jiangsu, People's Republic of China.
Panli TanDepartment of Laboratory Medicine, Chinese Medicine Hospital of Zhejiang, Hangzhou, 310006, Zhejiang, People's Republic of China.
Zhenchao ZhuangDepartment of Laboratory Medicine, Chinese Medicine Hospital of Zhejiang, Hangzhou, 310006, Zhejiang, People's Republic of China.
Zhejiong WangDepartment of Laboratory Medicine, Chinese Medicine Hospital of Zhejiang, Hangzhou, 310006, Zhejiang, People's Republic of China.
Linchao ZhuDepartment of Laboratory Medicine, Chinese Medicine Hospital of Zhejiang, Hangzhou, 310006, Zhejiang, People's Republic of China.
Ruyi QiuDepartment of Laboratory Medicine, Chinese Medicine Hospital of Zhejiang, Hangzhou, 310006, Zhejiang, People's Republic of China.
Huaxi XuInstitute of Laboratory Medicine, Jiangsu Key Laboratory of Laboratory Medicine, Jiangsu University, Zhenjiang, 210013, Jiangsu, People's Republic of China. xu_huaxi@163.com.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is not only a kind of common endocrine syndrome but also a metabolic disorder, which harms the reproductive system and the whole body metabolism of the PCOS patients worldwide. In this study, we aimed to investigate the differences in serum metabolic profiles of the patients with PCOS compared to the healthy controls. MATERIAL AND

methods31 PCOS patients and 31 matched healthy female controls were recruited in this study, the clinical characteristics data were recorded, the laboratory biochemical data were detected. Then, we utilized the metabolomics approach by UPLC-HRMS technology to study the serum metabolic changes between PCOS and controls.

resultsThe metabolomics analysis showed that there were 68 downregulated and 78 upregulated metabolites in PCOS patients serum compared to those in the controls. These metabolites mainly belong to triacylglycerols, glycerophosphocholines, acylcarnitines, diacylglycerols, peptides, amino acids, glycerophosphoethanolamines and fatty acid. Pathway analysis showed that these metabolites were enriched in pathways including glycerophospholipid metabolism, fatty acid degradation, fatty acid biosynthesis, ether lipid metabolism, etc. Diagnosis value assessed by ROC analysis showed that the changed metabolites, including Leu-Ala/Ile-Ala, 3-(4-Hydroxyphenyl) propionic acid, Ile-Val/Leu-Val, Gly-Val/Val-Gly, aspartic acid, DG(34:2)_DG(16:0/18:2), DG(34:1)_DG(16:0/18:1), Phe-Trp, DG(36:1)_DG(18:0/18:1), Leu-Leu/Leu-Ile, had higher AUC values, indicated a significant role in PCOS.

conclusionThe present study characterized the difference of serum metabolites and related pathway profiles in PCOS patients, this finding hopes to provide potential metabolic markers for the prognosis and diagnosis of this disease.

Indexed as

MetabolomicsPolycystic Ovary SyndromeAdultBiomarkersCase-Control StudiesFemaleHumansMetabolomeYoung AdultBiomarkersMetabonomics analysisPolycystic ovary syndromeSerum metabolitesUPLC-HRMS

Identifiers

PMID34416878
PMCPMC8379735
OpenAlexW3122981388

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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.