| Autor: |
Jiewen, Xie, Ling, Li, Haoyue, Xing |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Clinica Chimica Acta. 539:134-143 |
| ISSN: |
0009-8981 |
| DOI: |
10.1016/j.cca.2022.12.005 |
| Popis: |
Gestational diabetes mellitus (GDM), a common complication of pregnancy, is a type of diabetes that is first detected and diagnosed during pregnancy. The incidence of GDM is increasing annually and is associated with many adverse pregnancy outcomes. Early prediction of the risk of GDM and intervention are thus important to reduce adverse pregnancy outcomes. Studies have revealed a correlation between the levels of amino acids, fatty acids, triglycerides, and other metabolites in early pregnancy and the occurrence of GDM. The development of high-throughput technologies used in metabolomics has enabled the detection of changes in the levels of small-molecule metabolites during early pregnancy, which can help reflect the overall physiological and pathological status of the body and explore the underlying mechanisms of the development of GDM. This review sought to summarize current research in this field and provide data for the development of strategies to manage GDM. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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Full Text from ScienceDirect