Letter to the Editor: Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk

doi:10.4239/wjd.118110

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Diabetes. Aug 15, 2026; 17(8): 118110
Published online Aug 15, 2026. doi: 10.4239/wjd.118110

Letter to the Editor: Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk

Sachin Bhavthankar, Ajay M Gavkare, Basavraj S Nagoba

Sachin Bhavthankar, Department of Biochemistry, Maharashtra Institute of Medical Sciences and Research, Latur 413512, Maharashtra, India

Ajay M Gavkare, Department of Physiology, Government Medical College, Buldhana 443001, Maharashtra, India

Basavraj S Nagoba, Department of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India

Author contributions: Bhavthankar S and Gavkare AM drafted the primary manuscript; Nagoba BS provided conceptual guidance, performed critical revisions, and edited the text; all the authors participated in the final drafting and have reviewed and approved the submitted version.

Conflict-of-interest statement: All the authors have no conflict of interest related to the manuscript.

Corresponding author: Basavraj S Nagoba, PhD, Professor, Department of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Vishwanathpuram, Ambajogai Road, Latur 413531, Maharashtra, India. dr_bsnagoba@yahoo.com

Received: December 24, 2025
Revised: February 12, 2026
Accepted: March 10, 2026
Published online: August 15, 2026
Processing time: 224 Days and 18.8 Hours

Core Tip

Core Tip: Current risk assessment for gestational diabetes mellitus frequently overlooks the distinction between different fat compartments. While fat mass percentage is a vital marker, its predictive power is maximized when combined with visceral fat area and dynamic metabolic indicators. Establishing a comprehensive evaluation framework that includes lifestyle factors and longitudinal weight tracking will bridge existing gaps in prenatal care, allowing for more accurate identification of high-risk individuals and earlier clinical intervention.