Evidence map›Paper›PMID 41392932›Full record

ArticleEndocrine connections2026

Tissue-specific HGF and soluble c-MET levels in gestational diabetes mellitus: insights into maternal-endocrine crosstalk and fetal metabolic adaptation.

Ye Won Jung, Mina Lee, Young Bok Ko, Soo Youn Song, Heon Jong Yoo, Yea Eun Kang, Ok Soon Kim, Byung Hun Kang, Hyun Jin Kim

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Article in Endocrine connections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Ye Won JungDepartment of Obstetrics and Gynecology, Chungnam National University Sejong Hospital, Sejong, Korea.
Mina LeeChungnam National University School of Medicine, Daejeon, Korea.
Young Bok KoChungnam National University School of Medicine, Daejeon, Korea.
Soo Youn SongDepartment of Obstetrics and Gynecology, Chungnam National University Sejong Hospital, Sejong, Korea.
Heon Jong YooDepartment of Obstetrics and Gynecology, Chungnam National University Sejong Hospital, Sejong, Korea.
Yea Eun KangChungnam National University School of Medicine, Daejeon, Korea.
Ok Soon KimResearch Center for Endocrine and Metabolic Diseases, Chungnam National University School of Medicine, Daejeon, Korea.
Byung Hun KangChungnam National University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0001-5037-3225
Hyun Jin KimChungnam National University School of Medicine, Daejeon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hepatocyte growth factor (HGF)/c-MET signaling regulates glucose metabolism and tissue remodeling, but its role in gestational diabetes mellitus (GDM) remains unclear. We aimed to investigate maternal serum HGF and soluble c-MET (sc-MET) levels, their tissue expression in placenta and maternal visceral adipose tissue, and their associations with obstetric and perinatal outcomes in GDM. Methods: In this retrospective observational, cross-sectional study, 76 pregnant women (32 GDM, 44 normal glucose tolerance) were enrolled. Serum HGF and sc-MET were measured by ELISA; placental and visceral-fat HGF/c-MET expression was analyzed by RT-PCR and western blot. Clinical variables, including umbilical-cord blood gas and glucose values, were evaluated. Results: Maternal sc-MET levels were significantly higher, and cord-blood HGF levels significantly lower, in the GDM group. HGF protein expression was increased in maternal visceral fat but unchanged in placenta. Maternal HGF correlated negatively with cord base excess and positively with lactic acid levels, while cord HGF correlated positively with neonatal glucose. Conclusions: These findings indicate tissue-specific dysregulation of HGF/c-MET signaling in GDM, potentially linking maternal insulin resistance with fetal metabolic stress through visceral-fat-derived HGF. The associations between maternal HGF and neonatal lactic acid levels suggest an endocrine interaction influencing fetal adaptation. Further studies are needed to clarify underlying mechanisms across heterogeneous GDM phenotypes. Plain language summary: GDM is a condition that develops during pregnancy and affects how the body regulates sugar. This study explored how two proteins, HGF and its receptor c-MET, may influence metabolism in mothers with GDM and their babies. Blood, placenta, and visceral fat samples were analyzed from women with and without GDM. Mothers with GDM had higher blood levels of soluble c-MET and lower HGF levels in cord blood. HGF activity was increased in visceral fat, suggesting altered fat metabolism may contribute to insulin resistance. These changes were linked to higher lactic acid levels in newborns, a sign of metabolic stress. The findings suggest that HGF/c-MET signaling helps coordinate hormonal communication between mother and fetus during pregnancy and could serve as a potential biomarker for maternal insulin resistance and fetal metabolic health in GDM.

Indexed as

blood gas analysisgestational diabetes mellitushepatocyte growth factorMET receptor tyrosine kinasevisceral fat

Identifiers

PMID41392932
PMCPMC12766565

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