Wang QY, You LH, Xiang LL, Zhu YT, Zeng Y. Current progress in metabolomics of gestational diabetes mellitus. World J Diabetes 2021; 12(8): 1164-1186 [PMID: 34512885 DOI: 10.4239/wjd.v12.i8.1164]
Corresponding Author of This Article
Yu Zeng, PhD, Professor, Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), No. 123 Tianfei Lane, Mochou Road, Qinhuan District, Nanjing 21000, Jiangsu Province, China. zengyu@njmu.edu.cn
Research Domain of This Article
Obstetrics & Gynecology
Article-Type of This Article
Review
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
Qian-Yi Wang, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 21000, Jiangsu Province, China
Liang-Hui You, Nanjing Maternity and Child Health Care Institute, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
Lan-Lan Xiang, Yi-Tian Zhu, Yu Zeng, Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
Author contributions: Wang QY drafted the initial manuscript and prepared the figure; You LH and Xiang LL searched the literature and provided further editing and comments; Zhu YT participated in the discussion and provided further editing and comments; Zeng Y revised the manuscript and approved the final version of the manuscript.
Supported bythe National Natural Science Foundation of China, No. 81870546; and the Nanjing Medical Science and Technique Development Foundation, No. YKK17177.
Conflict-of-interest statement: The authors declare no conflicts of interest for this manuscript.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yu Zeng, PhD, Professor, Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), No. 123 Tianfei Lane, Mochou Road, Qinhuan District, Nanjing 21000, Jiangsu Province, China. zengyu@njmu.edu.cn
Received: February 8, 2021 Peer-review started: February 8, 2021 First decision: April 20, 2021 Revised: May 20, 2021 Accepted: July 7, 2021 Article in press: July 7, 2021 Published online: August 15, 2021 Processing time: 182 Days and 1.3 Hours
Abstract
Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders of pregnancy and can cause short- and long-term adverse effects in both pregnant women and their offspring. However, the etiology and pathogenesis of GDM are still unclear. As a metabolic disease, GDM is well suited to metabolomics study, which can monitor the changes in small molecular metabolites induced by maternal stimuli or perturbations in real time. The application of metabolomics in GDM can be used to discover diagnostic biomarkers, evaluate the prognosis of the disease, guide the application of diet or drugs, evaluate the curative effect, and explore the mechanism. This review provides comprehensive documentation of metabolomics research methods and techniques as well as the current progress in GDM research. We anticipate that the review will contribute to identifying gaps in the current knowledge or metabolomics technology, provide evidence-based information, and inform future research directions in GDM.
Core Tip: Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders of pregnancy. As a metabolic disease, GDM is well suited to metabolomics study, which can monitor the changes in small molecular metabolites induced by maternal stimuli or perturbation in real time. This review provides comprehensive documentation of metabolomics research methods and techniques as well as the current progress in GDM research. We anticipate that the review will contribute to identifying gaps in the current knowledge or metabolomics technology, provide evidence-based information, and inform future research directions in GDM.
