Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Enantioselectivity Effects in Clinical Metabolomics and Lipidomics

Texto completo
Autor(es):
Oliveira, Regina V. [1] ; Simionato, Ana Valeria C. [2, 3] ; Cass, Quezia B. [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Fed Sao Carlos, Dept Chem, SEPARARE Nucleo Pesquisa Cromatog, Rod Washington Luiz, Km 235, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Estadual Campinas, Inst Chem, Dept Analyt Chem, BR-13083970 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Natl Inst Sci & Technol Bioanalyt, Inst Chem, BR-13083970 Campinas, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo de Revisão
Fonte: Molecules; v. 26, n. 17 SEP 2021.
Citações Web of Science: 0
Resumo

Metabolomics and lipidomics have demonstrated increasing importance in underlying biochemical mechanisms involved in the pathogenesis of diseases to identify novel drug targets and/or biomarkers for establishing therapeutic approaches for human health. Particularly, bioactive metabolites and lipids have biological activity and have been implicated in various biological processes in physiological conditions. Thus, comprehensive metabolites, and lipids profiling are required to obtain further advances in understanding pathophysiological changes that occur in cells and tissues. Chirality is one of the most important phenomena in living organisms and has attracted long-term interest in medical and natural science. Enantioselective separation plays a pivotal role in understanding the distribution and physiological function of a diversity of chiral bioactive molecules. In this context, it has been the goal of method development for targeted and untargeted metabolomics and lipidomic assays. Herein we will highlight the benefits and challenges involved in these stereoselective analyses for clinical samples. (AU)

Processo FAPESP: 20/05965-8 - Estratégias metabolômicas baseadas em LC-HRMS para investigação de potenciais biomarcadores para diagnóstico clínico - Fase I
Beneficiário:Regina Vincenzi Oliveira
Modalidade de apoio: Auxílio à Pesquisa - Regular