Evidence map›Paper›PMID 39880380›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Metabolic Profiles of Pregnancy With Polycystic Ovary Syndrome: Insights into Maternal-Fetal Metabolic Communication.

Huisheng Ge, Dongni Huang, Lunbo Tan, Dan Luo, Liu Zhou, Hong Liu, Yilan Zhang, Dandan Liu, Xixi Wu, Lulu Wang and 5 more

Erratum issuedAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Huisheng GeDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing 401147, China.
Dongni HuangDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing 401147, China.
Lunbo TanDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing 401147, China.
Dan LuoDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Liu ZhouDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Hong LiuDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Yilan ZhangDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Dandan LiuDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Xixi WuDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Lulu WangDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Liling XiongDepartment of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610015, China.
Yang YangDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Ting-Li HanDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.ORCID 0000-0001-6011-7508
Chengjin HeDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-3776-0487
Hongbo QiDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing 401147, China.ORCID 0000-0002-4911-7942

Funding

National Key Research and Development Program of China 2022YFC2704702National Natural Science Foundation of China 82101776Natural Science Foundation of Chongqing, China CSTB2022NSCQ-MSX0114
6 · The paper itself

Abstract

contextPolycystic ovary syndrome (PCOS) pregnancies are linked to metabolic disorders affecting maternal and fetal outcomes, with maternal metabolites differing from those in normal pregnancies.

objectiveTo investigate the metabolic communication at the maternal-fetal interface in PCOS pregnancies.

designPlacenta and umbilical cord serum were analyzed using gas chromatography-mass spectrometry. In-depth analysis was performed with clinical characteristics.

settingPlacenta and umbilical cord serum were analyzed using gas chromatography-mass spectrometry, alongside clinical characteristics.

participantsForty-five uncomplicated PCOS pregnancies and 50 normal pregnancies. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The metabolic characteristics at the maternal-fetal interface in PCOS pregnancies and the underlying mechanisms.

resultsA total of 79 metabolites in the placenta and 25 in umbilical cord serum showed significant differences between PCOS and normal pregnancies. The 10 most significant placental metabolites were identified through receiver operating characteristic analysis, 9 of which correlated significantly with maternal serum testosterone levels. Lasso regression analysis identified 4 key placental metabolite combinations: gamma-aminobutyric acid, proline, glycine, and isoleucine, achieving an area under the curve of 93.24%. In umbilical cord serum, 6 metabolites differed significantly between PCOS and normal pregnancies, with the highest area under the curve reaching 76.07%; 5 of these metabolites showed significant correlations with maternal serum testosterone levels. Nine differential metabolites were shared between the placenta and umbilical cord serum, which also shared metabolic pathways, including ABC transporters and aminoacyl-tRNA biosynthesis, potentially influencing maternal-fetal interactions.

conclusionThis study identifies the metabolomic profile and key pathways in maternal-fetal communication during PCOS pregnancies.

Indexed as

Fetal BloodMaternal-Fetal ExchangeMetabolomePlacentaPolycystic Ovary SyndromePregnancy ComplicationsAdultCase-Control StudiesFemaleGas Chromatography-Mass SpectrometryHumansPregnancyYoung Adultmetabolic communicationplacentapolycystic ovary syndromeumbilical cord serum

Identifiers

PMID39880380
PMCPMC12086418

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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.