©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Nov 15, 2025; 16(11): 113457
Published online Nov 15, 2025. doi: 10.4239/wjd.v16.i11.113457
Published online Nov 15, 2025. doi: 10.4239/wjd.v16.i11.113457
Potentially novel surrogate biomarker for diagnosing insulin resistance in type 2 diabetes
Helen Jiang, Department of Medicine, Northern Health, Melbourne 3076, Victoria, Australia
David Henley, Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth 6009, Australia
David Henley, Medical School, The University of Western Australia, Perth 6009, Australia
Fang-Xu Jiang, School of Biomedical Sciences, The University of Western Australia, Perth 6009, Australia
Author contributions: Jiang H, Henley D and Jiang FX reviewed and edited this manuscript; Jiang H wrote the original draft; Jiang FX created the original figure; and all authors have read and approved the final manuscript.
Conflict-of-interest statement: All authors declare no relevant conflict-of-interest for this article.
Corresponding author: Fang-Xu Jiang, PhD, Adjunct Associate Professor, School of Biomedical Sciences, The University of Western Australia, 35 Stirling Hwy, Crawley, Perth 6009, Australia. fang-xu.jiang@perkins.uwa.edu.au
Received: August 26, 2025
Revised: September 16, 2025
Accepted: October 23, 2025
Published online: November 15, 2025
Processing time: 80 Days and 17.7 Hours
Revised: September 16, 2025
Accepted: October 23, 2025
Published online: November 15, 2025
Processing time: 80 Days and 17.7 Hours
Core Tip
Core Tip: Hou et al presents a potential novel surrogate biomarker for diagnosing insulin resistance (IR) in type 2 diabetes mellitus. Their study demonstrates magnetic resonance imaging-derived multiparametric biomarkers for IR at the L4-L5 paravertebral muscles. If validated, this represents an accessible and non-invasive tool for early diagnosis of IR with potential clinical diagnostic applications.
