Evidence map›Paper›PMID 34149613›Full record

ArticleFrontiers in endocrinology2021

How to Screen and Prevent Metabolic Syndrome in Patients of PCOS Early: Implications From Metabolomics.

Xiaoxuan Zhao, Xiaoling Feng, Xinjie Zhao, Yuepeng Jiang, Xianna Li, Jingyun Niu, Xiaoyu Meng, Jing Wu, Guowang Xu, Lihui Hou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

11 authors at 6 institutions in 1 country.

Xiaoxuan ZhaoDepartment of First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Xiaoling FengDepartment of Gynecology, the First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xinjie ZhaoKey Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Yuepeng JiangSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Xianna LiCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin, China.
Jingyun NiuCentre for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoyu MengDepartment of Gynecology, the First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Jing WuDepartment of First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Guowang XuKey Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Lihui HouDepartment of Gynecology, the First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Ying WangDepartment of Gynecology, the First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
First Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNHeilongjiang University of Chinese Medicine · CNChinese Academy of Sciences · CNDalian Institute of Chemical Physics · CNFirst Affiliated Hospital of Zhengzhou University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a complex reproductive endocrine disorder. And metabolic syndrome (MS) is an important bridge for PCOS patients to develop other diseases, such as diabetes and coronary heart disease. Our aim was to study the potential metabolic characteristics of PCOS-MS and identify sensitive biomarkers so as to provide targets for clinical screening, diagnosis, and treatment. Methods: In this study, 44 PCOS patients with MS, 34 PCOS patients without MS, and 32 healthy controls were studied. Plasma samples of subjects were tested by ultraperformance liquid chromatography (UPLC) system combined with LTQ-orbi-trap mass spectrometry. The changes of metabolic characteristics from PCOS to PCOS-MS were systematically analyzed. Correlations between differential metabolites and clinical characteristics of PCOS-MS were assessed. Differential metabolites with high correlation were further evaluated by the receiver operating characteristic (ROC) curve to identify their sensitivity as screening indicators. Results: There were significant differences in general characteristics, reproductive hormone, and metabolic parameters in the PCOS-MS group when compared with the PCOS group and healthy controls. We found 40 differential metabolites which were involved in 23 pathways when compared with the PCOS group. The metabolic network further reflected the metabolic environment, including the interaction between metabolic pathways, modules, enzymes, reactions, and metabolites. In the correlation analysis, there were 11 differential metabolites whose correlation coefficient with clinical parameters was greater than 0.4, which were expected to be taken as biomarkers for clinical diagnosis. Besides, these 11 differential metabolites were assessed by ROC, and the areas under curve (AUCs) were all greater than 0.7, with a good sensitivity. Furthermore, combinational metabolic biomarkers, such as glutamic acid + leucine + phenylalanine and carnitine C 4: 0 + carnitine C18:1 + carnitine C5:0 were expected to be sensitive combinational biomarkers in clinical practice. Conclusion: Our study provides a new insight to understand the pathogenesis mechanism, and the discriminating metabolites may help screen high-risk of MS in patients with PCOS and provide sensitive biomarkers for clinical diagnosis.

Indexed as

AdolescentAdultBiomarkersCarnitineFemaleGlutamic AcidHumansLeucineMetabolic SyndromeMetabolomicsPolycystic Ovary SyndromeROC CurveYoung AdultBiomarkersCarnitineGlutamic AcidLeucinebiomarkersmetabolic syndromemetabolomicspolycystic ovary syndromepreventive medicine

Identifiers

PMID34149613
PMCPMC8207510
OpenAlexW3132091415

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.