4.6 Review

Exploring Metabolomic Patterns in Type 2 Diabetes Mellitus and Response to Glucose-Lowering Medications-Review

Journal

GENES
Volume 14, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/genes14071464

Keywords

type 2 diabetes mellitus; metabolomics; metabolites; medications; glucose-lowering medications

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The spectrum of information related to precision medicine in diabetes includes clinical data, genetics, and omics-based biomarkers that can guide personalized decisions on diabetes care. Metabolomics, an emerging molecular approach, helps understand disease etiology and identify novel biomarkers for complex diseases. Metabolomics can investigate targeted or untargeted metabolites extracted from cells, biofluids, or tissues using high-throughput platforms like NMR and MS techniques. It is proposed as a valuable tool in precision diabetes medicine for discovering biomarkers for diagnosis, prognosis, and management of diabetes through personalized phenotyping and individualized drug-response monitoring.
The spectrum of information related to precision medicine in diabetes generally includes clinical data, genetics, and omics-based biomarkers that can guide personalized decisions on diabetes care. Given the remarkable progress in patient risk characterization, there is particular interest in using molecular biomarkers to guide diabetes management. Metabolomics is an emerging molecular approach that helps better understand the etiology and promises the identification of novel biomarkers for complex diseases. Both targeted or untargeted metabolites extracted from cells, biofluids, or tissues can be investigated by established high-throughput platforms, like nuclear magnetic resonance (NMR) and mass spectrometry (MS) techniques. Metabolomics is proposed as a valuable tool in precision diabetes medicine to discover biomarkers for diagnosis, prognosis, and management of the progress of diabetes through personalized phenotyping and individualized drug-response monitoring. This review offers an overview of metabolomics knowledge as potential biomarkers in type 2 diabetes mellitus (T2D) diagnosis and the response to glucose-lowering medications.

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