Sidnei Moura, Ru Angelie Edrada-Ebel, Ariane Schiavenin, Letícia Bergoza
Journal: Diabetes research and clinical practice 2025;226():112380
PMID: 40701390
By 2045, it is estimated that approximately 783 million, will be living with diabetes. The incidence of diabetes as well other types of is increasing annually and is associated with many adverse outcomes. Early prediction of the risk of hyperglycaemia and intervention are thus important to reduce adverse outcomes. Studies have revealed a correlation between the levels of amino acids, fatty acids, triglycerides, and other metabolites and the occurrence of diabetes. The development of high-throughput technologies used in metabolomics has enabled the detection of changes in the levels of small-molecule metabolites, which can help reflect the overall physiological and pathological status of the body and explore the underlying mechanisms of the development of diabetes. Thus, this review aims to explore the role of metabolomics as promising alternative for hyperglycaemia diagnoses using NMR, as a guide for researchers, as well as for routine method diagnostic users and to provide data for the development of strategies to manage diabetes.
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