What question did this study set out to answer?

March 26, 2026Open Access

Disruption of Mitophagy‐Related Gene Expression in Gestational Diabetes Mellitus: A Transcriptomic and Machine Learning Approach

Key Points

This research aims to investigate the role of mitophagy-related gene expression in gestational diabetes mellitus (GDM) and identify potential biomarkers.
Conducted transcriptomic analysis of placental and cord blood tissues.
Used machine learning to analyze gene expression patterns.
Examined the expression of mitophagy-related genes such as MUL1, PINK1, TOMM7, and ATF4.
Identified dysregulation of mitophagy-related gene expression in GDM.
Found MUL1, PINK1, TOMM7, and ATF4 as potential biomarkers and therapeutic targets.
Observed that these genes were not significantly altered in plasma, emphasizing tissue context.

Abstract

These findings suggest that mitophagy dysregulation is an early and persistent defect in GDM, with MUL1, PINK1, TOMM7, and ATF4 emerging as potential biomarkers and therapeutic targets. The results support the hypothesis that mitochondrial quality control failure contributes to the pathogenesis of GDM with similar patterns shown in both placental and cord blood tissues. However, these genes were not significantly altered in plasma, highlighting tissue context as a critical factor in detecting mitophagy-related dysregulation.

Read Full Paperexternally

KI fragen

Bookmark

View Full Paper