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Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus
Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnant women. The early detection of GDM provides an opportunity for the effective treatment of hyperglycemia in pregnancy, thus decreasing the risk of adverse perinatal outcomes for mothers and newborns. Metabolo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554488/ https://www.ncbi.nlm.nih.gov/pubmed/36246890 http://dx.doi.org/10.3389/fendo.2022.967191 |
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author | Zhang, Muqiu Yang, Huixia |
author_facet | Zhang, Muqiu Yang, Huixia |
author_sort | Zhang, Muqiu |
collection | PubMed |
description | Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnant women. The early detection of GDM provides an opportunity for the effective treatment of hyperglycemia in pregnancy, thus decreasing the risk of adverse perinatal outcomes for mothers and newborns. Metabolomics, an emerging technique, offers a novel point of view in understanding the onset and development of diseases and has been repeatedly used in various gestational periods in recent studies of GDM. Moreover, metabolomics provides varied opportunities in the different diagnoses of GDM from prediabetes or predisposition to diabetes, the diagnosis of GDM at a gestational age several weeks earlier than that used in the traditional method, and the assessment of prognosis considering the physiologic subtypes of GDM and clinical indexes. Longitudinal metabolomics truly facilitates the dynamic monitoring of metabolic alterations over the course of pregnancy. Herein, we review recent advancements in metabolomics and summarize evidence from studies on the application of metabolomics in GDM, highlighting the aspects of the diagnosis and differential diagnoses of GDM in an early stage. We also discuss future study directions concerning the physiologic subtypes, prognosis, and limitations of metabolomics. |
format | Online Article Text |
id | pubmed-9554488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95544882022-10-13 Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus Zhang, Muqiu Yang, Huixia Front Endocrinol (Lausanne) Endocrinology Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnant women. The early detection of GDM provides an opportunity for the effective treatment of hyperglycemia in pregnancy, thus decreasing the risk of adverse perinatal outcomes for mothers and newborns. Metabolomics, an emerging technique, offers a novel point of view in understanding the onset and development of diseases and has been repeatedly used in various gestational periods in recent studies of GDM. Moreover, metabolomics provides varied opportunities in the different diagnoses of GDM from prediabetes or predisposition to diabetes, the diagnosis of GDM at a gestational age several weeks earlier than that used in the traditional method, and the assessment of prognosis considering the physiologic subtypes of GDM and clinical indexes. Longitudinal metabolomics truly facilitates the dynamic monitoring of metabolic alterations over the course of pregnancy. Herein, we review recent advancements in metabolomics and summarize evidence from studies on the application of metabolomics in GDM, highlighting the aspects of the diagnosis and differential diagnoses of GDM in an early stage. We also discuss future study directions concerning the physiologic subtypes, prognosis, and limitations of metabolomics. Frontiers Media S.A. 2022-09-28 /pmc/articles/PMC9554488/ /pubmed/36246890 http://dx.doi.org/10.3389/fendo.2022.967191 Text en Copyright © 2022 Zhang and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Zhang, Muqiu Yang, Huixia Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title | Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title_full | Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title_fullStr | Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title_full_unstemmed | Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title_short | Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
title_sort | perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554488/ https://www.ncbi.nlm.nih.gov/pubmed/36246890 http://dx.doi.org/10.3389/fendo.2022.967191 |
work_keys_str_mv | AT zhangmuqiu perspectivesfrommetabolomicsintheearlydiagnosisandprognosisofgestationaldiabetesmellitus AT yanghuixia perspectivesfrommetabolomicsintheearlydiagnosisandprognosisofgestationaldiabetesmellitus |