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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Pediatr. Dec 9, 2025; 14(4): 109476
Published online Dec 9, 2025. doi: 10.5409/wjcp.v14.i4.109476
Published online Dec 9, 2025. doi: 10.5409/wjcp.v14.i4.109476
Emerging biomarkers for gestational diabetes mellitus and related pediatric outcomes
Tanu Gautam, Amreen Shamsad, Monisha Banerjee, Molecular and Human Genetics Laboratory, Department of Zoology, University of Lucknow, Lucknow 226007, Uttar Pradesh, India
Renu Singh, Department of Obstetrics and Gynecology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
Co-first authors: Tanu Gautam and Amreen Shamsad.
Author contributions: Gautam T contributed to writing original draft and visualization; Gautam T and Shamsad A contributed to conceptualization; Banerjee M contributed to supervision; Gautam T, Shamsad A, Singh R, and Banerjee M contributed to writing review and editing; all authors read and approved the final manuscript.
Supported by DBT-BUILDER-University of Lucknow Interdisciplinary Life Science Programme for Advance Research and Education (Level II), No. TG BT/INF/22/SP47623/2022; and Maulana Azad National Fellowship, University Grants Commission, New Delhi, Department of Biotechnology, New Delhi, No. F. 82-27/2019 (SA III).
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Monisha Banerjee, PhD, Professor, Molecular and Human Genetics Laboratory, Department of Zoology, University of Lucknow, University Road, Lucknow 226007, Uttar Pradesh, India. monishabanerjee30@gmail.com
Received: May 13, 2025
Revised: June 3, 2025
Accepted: August 26, 2025
Published online: December 9, 2025
Processing time: 172 Days and 6.9 Hours
Revised: June 3, 2025
Accepted: August 26, 2025
Published online: December 9, 2025
Processing time: 172 Days and 6.9 Hours
Core Tip
Core Tip: Gestational diabetes mellitus (GDM) is a prevalent metabolic condition caused by chronic insulin resistance during pregnancy, affecting millions of women worldwide. It leads to poor maternal and neonatal outcomes. Traditional diagnostic and predictive biomarkers have limitations. Recent research has identified novel biomarkers, such as microRNAs, cell-free DNA, exosomes, glycolytic intermediates, inflammatory and metabolic biomarkers, amino acids, lipids, and gut microbiota metabolites, which offer promising alternatives for early diagnosis and prediction. These biomarkers may pave the way for personalized medicine, improving the prediction of GDM and related pediatric outcomes.