Wu L, Wang XP, Zhu YX, Tan YP, Li CM. Proteomics for early prenatal screening of gestational diabetes mellitus. World J Clin Cases 2024; 12(26): 5850-5853 [PMID: 39286373 DOI: 10.12998/wjcc.v12.i26.5850]
Corresponding Author of This Article
Chun-Ming Li, PhD, Associate Chief Physician, Department of Dermatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang 330006, Jiangxi Province, China. chunminglincu@163.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Editorial
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/
World J Clin Cases. Sep 16, 2024; 12(26): 5850-5853 Published online Sep 16, 2024. doi: 10.12998/wjcc.v12.i26.5850
Proteomics for early prenatal screening of gestational diabetes mellitus
Liang Wu, Xiu-Ping Wang, Yun-Xia Zhu, Yan-Ping Tan, Chun-Ming Li
Liang Wu, Xiu-Ping Wang, Yun-Xia Zhu, Chun-Ming Li, Department of Dermatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China
Yan-Ping Tan, Department of Dermatology, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang 330000, Jiangxi Province, China
Co-corresponding authors: Yan-Ping Tan and Chun-Ming Li.
Author contributions: Wu L contributed to data collection and manuscript writing; Zhu YX and Wang XP contributed to data analysis; Tan YP contributed to conceptualization and supervision; Li CM contributed to manuscript polishing and editing; all authors have read and approved the final manuscript. Both Tan YP and Li CM have played important and indispensable roles in the writing and editing of the manuscript and review of the literature as the co-corresponding authors. Tan YP conceptualized and supervised the whole process of the project. She searched the literature, and revised and submitted the early version of the manuscript. Li CM was instrumental and responsible for polishing, editing, and submission of the current version of the manuscript.
Conflict-of-interest statement: All the authors declare that they have no conflict of interest to disclose.
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/
Corresponding author: Chun-Ming Li, PhD, Associate Chief Physician, Department of Dermatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang 330006, Jiangxi Province, China. chunminglincu@163.com
Received: March 20, 2024 Revised: May 12, 2024 Accepted: June 4, 2024 Published online: September 16, 2024 Processing time: 124 Days and 17.6 Hours
Abstract
In this editorial, we comment on the article by Cao et al. Through applying isobaric tags for relative and absolute quantification technology coupled with liquid chromatography-tandem mass spectrometry, the researchers observed significant differential expression of 47 proteins when comparing serum samples from pregnant women with gestational diabetes mellitus (GDM) to the healthy ones. GDM symptoms may involve abnormalities in inflammatory response, complement system, coagulation cascade activation, and lipid metabolism. Retinol binding protein 4 and angiopoietin like 8 are potential early indicators of GDM. GDM stands out as one of the most prevalent metabolic complications during pregnancy and is linked to severe maternal and fetal outcomes like pre-eclampsia and stillbirth. Nevertheless, none of the biomarkers discovered so far have demonstrated effectiveness in predicting GDM. Our topic was designed to foster insights into advances in the application of proteomics for early prenatal screening of GDM.
Core Tip: In this editorial, we comment on the article by Cao et al. Our topic was designed to foster insights into advances in the application of proteomics for early prenatal screening of gestational diabetes mellitus.
