Evidence map›Paper›PMID 40089727›Full record

ArticleBMC pregnancy and childbirth2025

Circulating miR-486-3p as a potential biomarker for the diagnosis of gestational diabetes mellitus and the prediction of adverse pregnancy outcomes.

Yaqin Hu, Yukai Zeng, Xiaoshuang Du, Qi Li, Yumei Cao, Huihui Song, Zhenlan Wu, Yingxuan Huang

Abstract read
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yaqin Hu *Department of Endocrinology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China.
Yukai Zeng *School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China.
Xiaoshuang DuShandong Second Medical University, Weifang, 261000, China.
Qi LiCenter of Reproductive Medicine, Qingdao Women and Children's Hospital, Qingdao, 266000, China.
Yumei CaoObstetrics and Gynecology Center, Weifang People's Hospital, Weifang, 261000, China.
Huihui SongObstetrics and Gynecology Center, Weifang People's Hospital, Weifang, 261000, China.
Zhenlan WuObstetrics and Gynecology Center, Weifang People's Hospital, Weifang, 261000, China.
Yingxuan HuangKey Laboratory of Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases of Baise, Baise, 533000, China. gxhuangyx@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGestational diabetes mellitus (GDM) seriously endangers the health of pregnant women and their offspring. Early prediction and diagnosis allow timely treatment of GDM, preventing adverse pregnancy outcomes and related diseases. This research aims to explore the predictive significance of miR-486-3p expression levels in diagnosing GDM in early pregnancy.

methodsA retrospective study was conducted by enrolling 103 subjects with GDM and 98 healthy subjects. qRT-PCR was used to analyze the expression level of miR-486-3p. The chi-square test and t-test were used to evaluate the differences in miR-486-3p expression levels between the GDM and control groups. The predictive value of miR-486-3p in early diagnosis of GDM was analyzed by receiver operating characteristic (ROC). Potential indicators that may lead to adverse pregnancy outcomes in patients with GDM were predicted by multivariate logistic regression analysis.

resultsDownregulation of miR-486-3p expression level was observed in the GDM group compared with healthy individuals. The predictive value of miR-486-3p for early diagnosis of GDM was indicated by the ROC curve. The expression level of miR-486-3p in the GDM group was negatively correlated with glycated hemoglobin (HbA1c), fasting blood glucose (FBG), homeostasis model-insulin resistance index (HOMA-IR), and leptin (LEP). Multivariate logistic regression analysis suggested that miR-486-3p, HbA1c, HOMA-IR, and FBG could be regarded as adverse pregnancy outcome risk factors in GDM subjects.

conclusionmiR-486-3p showed a clinical predictive value for GDM in early pregnancy. miR-486-3p, HbA1c, HOMA-IR, and FBG indicators can be considered adverse pregnancy outcome risk factors in GDM patients.

Indexed as

Diabetes, GestationalMicroRNAsAdultBiomarkersBlood GlucoseCase-Control StudiesEarly DiagnosisFemaleGlycated HemoglobinHumansPredictive Value of TestsPregnancyPregnancy OutcomeRetrospective StudiesROC CurveBiomarkersBlood GlucoseGlycated HemoglobinMicroRNAsMIRN486 microRNA, humanBiomarkerDiagnosisGDMmiR-486-3p

Identifiers

PMID40089727
PMCPMC11910836

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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.