Publication Name	World Journal of Diabetes
Manuscript ID	118110
Country	India

Category	Biochemical Research Methods
Manuscript Type	Letter to the Editor
Article Title	Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk
Manuscript Source	Invited Manuscript
All Author List	Sachin Bhavthankar, Ajay M Gavkare and Basavraj S Nagoba
Funding Agency and Grant Number
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
Key Words	Gestational diabetes mellitus; Body composition; Adipokines; Fat mass percentage; Visceral fat area; Dynamic gestational weight gain; Lifestyle factors; Risk prediction
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.
Citation	Bhavthankar S, Gavkare AM, Nagoba BS. Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk. World J Diabetes 2026; In press

Received	2025-12-24 02:23
Peer-Review Started	2025-12-24 09:14
First Decision by Editorial Office Director	2026-02-10 09:18
Return for Revision	2026-02-10 09:18
Revised	2026-02-12 06:44
Publication Fee Transferred
Second Decision by Editor	2026-03-10 02:50
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-03-10 09:39
Articles in Press	2026-03-10 09:39
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9358 (online)
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