Evidence map›Paper›PMID 37065734›Full record

ArticleFrontiers in endocrinology2023

Serum fatty acid profiles associated with metabolic risk in women with polycystic ovary syndrome.

Ye Tian, Jingjing Zhang, Mingyue Li, Jie Shang, Xiaohong Bai, Huijuan Zhang, Yanxia Wang, Haitao Chen, Xueru Song

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  4. 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
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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 2 institutions in 1 country.

Ye TianDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Jingjing ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Mingyue LiDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Jie ShangDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Xiaohong BaiDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Huijuan ZhangDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Yanxia WangDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Haitao ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Xueru SongDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University General Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dyslipidemia is a feature of polycystic ovary syndrome (PCOS) that may augment metabolic disturbances. Serum fatty acids are important biomedical indicators of dyslipidemia. The aim of this study was to determine the distinct serum fatty acids in various PCOS subtypes and their association with metabolic risk in women with PCOS. Methods: Fatty acids in the serum of 202 women with PCOS were measured using gas chromatography-mass spectrometry. Fatty acids were compared between PCOS subtypes and correlated with glycemic parameters, adipokines, homocysteine, sex hormones, and sex hormone-binding globulin (SHBG). Results: The levels of total monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs) in the reproductive subtype of PCOS were lower than those in the metabolic subtype. Docosahexaenoic acid, a PUFA, was associated with higher SHBG after correction for multiple comparisons. Eighteen species of fatty acids emerged as potential biomarkers associated with the metabolic risk factors measured, independent of body mass index (BMI). Among them, myristic acid (C14:0), palmitoleic acid (C16:1), oleic acid (C18:1n-9C), cis-vaccenic acid (C18:1n-7), and homo-gamma-linolenic acid (C20:3n-6) were the strongest lipid species that were consistently associated with metabolic risk factors, particularly insulin-related parameters in women with PCOS. As for adipokines, 16 fatty acids were positively associated with serum leptin. Among them, C16:1 and C20:3n-6were significantly associated with leptin levels. Conclusion: Our data demonstrated that a distinct fatty acid profile comprising high C14:0, C16:1, C18:1n-9C, C18:1n-7, and C20:3n-6levels is associated with metabolic risk in women with PCOS, independent of BMI.

Indexed as

Fatty AcidsPolycystic Ovary SyndromeFatty Acids, UnsaturatedFemaleHumansInsulinLeptinFatty AcidsFatty Acids, UnsaturatedInsulinLeptinfatty acidGC-MSmetabolic riskpcosPUFA

Identifiers

PMID37065734
PMCPMC10102484
OpenAlexW4361267699

What Socratic holds

Textmetadata
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 Socratic graph.