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Detalle de: Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis

Title Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis
Abstract

Metabolomics has come to the fore as an efficient tool in the search for biomarkers that are critical for precision health approaches and improved diagnostics. This review will outline recent advances in biomarker discovery based on metabolomics, focusing on metabolomics biomarkers reported in cancer, neurodegenerative disorders, cardiovascular diseases, and metabolic health. In cancer, metabolomics provides evidence for unique oncometabolites that are important for early disease detection and monitoring of treatment responses. Metabolite profiling for conditions such as neurodegenerative and mental health disorders can offer early diagnosis and mechanisms into the disease especially in Alzheimer’s and Parkinson’s diseases. In addition to these, lipid biomarkers and other metabolites relating to cardiovascular and metabolic disorders are promising for patient stratification and personalized treatment. The gut microbiome and environmental exposure also feature among the influential factors in biomarker discovery because they sculpt individual metabolic profiles, impacting overall health. Further, we discuss technological advances in metabolomics, current clinical applications, and the challenges faced by metabolomics biomarker validation toward precision medicine. Finally, this review discusses future opportunities regarding the integration of metabolomics into routine healthcare to enable preventive and personalized approaches.

Apa Reference Vo, D. & Trinh, K.T.L. (2024). Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis. International Journal of Molecular Sciences, 25(23), 13190. 10.3390/ijms252313190
Doi 10.3390/ijms252313190
Publication Date 8 Dec 2024
Publication Type Article
Researcher Vu Phong Dinh
Ontology Personal medicine, Metabolomics, Metabolome profiling, Microbial communities, Metabolite Biomarker Identification, Medicine, Toxicogenomics
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