AI Article Synopsis
- Gestational diabetes mellitus (GDM) is a common pregnancy-related metabolic disorder that can have harmful effects on both mothers and their babies, but its causes and mechanisms are not fully understood.
- Metabolomics, the study of small molecular metabolites, can help track changes in metabolism during pregnancy, aiding in the identification of diagnostic biomarkers and the evaluation of treatment effectiveness.
- This review discusses the methods and advancements in metabolomics research related to GDM, aiming to highlight knowledge gaps and guide future studies in the field.
Article 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.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394228 | PMC |
| http://dx.doi.org/10.4239/wjd.v12.i8.1164 | DOI Listing |
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