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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Inflammation

Mitochondrial dysfunction and immune microenvironment in gestational diabetes mellitus: Insights from bioinformatics analysis and experimental validation

Provisionally accepted
  • 1The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
  • 2Jinan maternal and child Health Care Hospital, Jinan, China
  • 3Jining Medical University, Jining, China
  • 4Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

The final, formatted version of the article will be published soon.

Background: Gestational diabetes mellitus (GDM) is a pregnancy‑related disorder characterized by inflammatory dysregulation that disrupts maternal–fetal immune homeostasis, yet the contribution of mitochondrial dysfunction to this pro‑inflammatory state remains incompletely understood. Methods: This study combined transcriptomic data obtained from the GEO repository and mitochondrial gene lists from MitoCarta3.0 to pinpoint mitochondrial-related genes (Mito-RGs) exhibiting differential expression in GDM. Machine learning algorithms, including the least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (XGBoost), were applied to identify hub Mito-RGs. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were performed to identify enriched pathways in various cell types. A predictive nomogram for GDM was developed based on Mito-RGs scores. Experimental validation was conducted in human placental tissues and a GDM mouse model to confirm hub gene expression. Results: DHRS2, STX17, and TIMM44 were identified as hub Mito-RGs involved in GDM. Scores based on these genes formed the basis of a nomogram with strong predictive performance for GDM. Single-cell RNA sequencing data indicated that GDM placental tissues exhibited higher proportions of epithelial cells, macrophages, and NK cells, alongside a significant reduction in tissue stem cells. Glycolysis and hypoxia-related pathways were enriched in epithelial and stem cells, whereas inflammatory and immune‑activation pathways were predominantly enriched in macrophages, indicating pro‑inflammatory remodeling of the placental immune microenvironment. Immunohistochemistry confirmed significantly elevated DHRS2 protein levels in placentas from GDM patients and GDM mouse models. Conclusions: These findings emphasize the critical impact of mitochondrial dysfunction on the pro‑inflammatory reprogramming of the placental immune microenvironment in GDM, providing potential targets for anti‑inflammatory and immunometabolic interventions.

Keywords: Bioinformatics analysis, gestational diabetes mellitus, Immune infiltration, Inflammation, Mitochondrial dysfunction, Placenta

Received: 19 Dec 2025; Accepted: 11 Feb 2026.

Copyright: © 2026 Zhao, Chai, Gao and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Aimin Jiang

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