Evidence map›Paper›PMID 36176459›Full record

ArticleFrontiers in endocrinology2022

Follicular fluid lipidomic profiling reveals potential biomarkers of polycystic ovary syndrome: A pilot study.

Ying Ding, Yihong Jiang, Mingjiang Zhu, Qinling Zhu, Yaqiong He, Yao Lu, Yuan Wang, Jia Qi, Yifan Feng, Rong Huang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
5.5field-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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  6. The Plasma Glycome Differences Between Women with PCOS and Healthy Controls.International journal of molecular sciences · 2026
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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

13 authors at 3 institutions in 1 country.

Ying DingCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yihong JiangDepartment of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mingjiang ZhuCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China.
Qinling ZhuCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaqiong HeCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao LuCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuan WangCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jia QiCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yifan FengDepartment of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rong HuangDepartment of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huiyong YinCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China.
Shengxian LiDepartment of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yun SunCenter for Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNRenji Hospital · CNShanghai Institute of Nutrition and Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with multiple metabolic conditions including obesity, insulin resistance, and dyslipidemia. PCOS is the most common cause of anovulatory infertility; however, the molecular diversity of the ovarian follicle microenvironment is not fully understood. This study aimed to investigate the follicular fluid (FF) lipidomic profiles in different phenotypes of PCOS and to explore novel lipid biomarkers. Methods: A total of 25 women with PCOS and 12 women without PCOS who underwent Results: In total, 19 lipids were identified in ovarian FF. Of these, the concentrations of ceramide (Cer) and free fatty acids (FFA) in FF were significantly increased, whereas those of lysophosphatidylglycerol (LPG) were reduced in women with PCOS compared to controls, especially in obese and insulin-resistant groups. In addition, six subclasses of ceramide, FFA, and LPG were correlated with oocyte quality. Twenty-three lipid subclasses were identified as potential biomarkers of PCOS, and ROC analysis indicated the prognostic value of Cer,36:1;2, FFA C14:1, and LPG,18:0 on HQER in patients with PCOS. Conclusions: Our study showed the unique lipidomic profiles in FF from women with PCOS. Moreover, it provided metabolic signatures as well as candidate biomarkers that help to better understand the pathogenesis of PCOS.

Indexed as

InsulinsPolycystic Ovary SyndromeBiomarkersCeramidesFatty Acids, NonesterifiedFemaleFollicular FluidHumansLipidomicsPilot ProjectsTumor MicroenvironmentBiomarkersCeramidesFatty Acids, NonesterifiedInsulinsfollicular fluidlipidomicsliquid chromatography-tandem mass spectrometryoocyte qualitypolycystic ovary syndrome

Identifiers

PMID36176459
PMCPMC9513192
OpenAlexW4295539665

What OpenQuestion holds

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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 OpenQuestion graph.