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World J Diabetes. Apr 15, 2026; 17(4): 115275
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.115275
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.115275
Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal
Ling-Ling Xie, Yue Zou, Jing Sun, Ying-Xue Xiao, Tong Li, You-Jin Hao, Bo Li, College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
Shu-Wen Li, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China
Dan Qin, Department of Biochemical and Cellular Pharmacology, Genentech Inc., San Francisco, CA 94080, United States
Co-corresponding authors: You-Jin Hao and Bo Li.
Author contributions: Li B, Xie LL, and Hao YJ were responsible for conceptualization and data curation; Xie LL drafted the original manuscript; Li SW, Zou Y, and Qin D provided the critical review and editorial input; Xie LL, Sun J and Xiao YX handled resources and visualization; Li B and Hao YJ supervised this project and secured funding; all authors reviewed and approved the final version of this manuscript.
Supported by the Chongqing Natural Science Foundation, No. CSTB2025NSCQ-GPX1031.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Corresponding author: Bo Li, PhD, Associate Professor, College of Life Sciences, Chongqing Normal University, No. 37 University City Middle Road, Shapingba District, Chongqing 401331, China. libcell@cqnu.edu.cn
Received: October 13, 2025
Revised: December 15, 2025
Accepted: February 4, 2026
Published online: April 15, 2026
Processing time: 183 Days and 6.3 Hours
Revised: December 15, 2025
Accepted: February 4, 2026
Published online: April 15, 2026
Processing time: 183 Days and 6.3 Hours
Core Tip
Core Tip: Gestational diabetes mellitus (GDM) affects up to 14% of pregnancies and poses significant risks to both mothers and offspring. This mini-review summarizes publicly available transcriptomic datasets related to GDM across tissues, data types, and platforms, highlighting critical gaps such as the underrepresentation of pancreatic islets and adipose tissue. It also outlines opportunities for integrative, multi-omics, and cell-type resolved approaches. By consolidating current resources, this review provides a roadmap for advancing biomarker discovery, therapeutic development, and mechanistic understanding of GDM pathogenesis.