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Publication Name World Journal of Diabetes
Manuscript ID 115275
Country China
Category Medical Informatics
Manuscript Type Minireviews
Article Title Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal
Manuscript Source Invited Manuscript
All Author List Ling-Ling Xie, Shu-Wen Li, Yue Zou, Dan Qin, Jing Sun, Ying-Xue Xiao, Tong Li, You-Jin Hao and Bo Li
Funding Agency and Grant Number
Funding Agency Grant Number
Chongqing Natural Science Foundation No. CSTB2025NSCQ-GPX1031
Corresponding Author Bo Li, Associate Professor, PhD, Principal Investigator, College of Life Sciences, Chongqing Normal University, No. 37 University City Middle Road, Shapingba District, Chongqing 401331, China. libcell@cqnu.edu.cn
Key Words Gestational diabetes mellitus; Gene expression; RNA-sequencing; DNA microarray; Molecular mechanism
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.
Citation Xie LL, Li SW, Zou Y, Qin D, Sun J, Xiao YX, Li T, Hao YJ, Li B. Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal. World J Diabetes 2026; In press
Received
2025-10-13 06:31
Peer-Review Started
2025-10-13 07:17
First Decision by Editorial Office Director
2025-12-02 07:39
Return for Revision
2025-12-02 07:39
Revised
2025-12-15 16:38
Publication Fee Transferred
Second Decision by Editor
2026-01-28 02:44
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-04 11:12
Articles in Press
2026-02-04 11:12
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-9358 (online)
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/
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