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Maximizing Analytical Performance in Biomolecular Discovery with LC-MS: Focus on Psychiatric Disorders

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Autor(es):
Smith, Bradley J. ; Guest, Paul C. ; Martins-de-Souza, Daniel
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: ANNUAL REVIEW OF ANALYTICAL CHEMISTRY; v. 17, p. 22-pg., 2024-01-01.
Resumo

In this review, we discuss the cutting-edge developments in mass spectrometry proteomics and metabolomics that have brought improvements for the identification of new disease-based biomarkers. A special focus is placed on psychiatric disorders, for example, schizophrenia, because they are considered to be not a single disease entity but rather a spectrum of disorders with many overlapping symptoms. This review includes descriptions of various types of commonly used mass spectrometry platforms for biomarker research, as well as complementary techniques to maximize data coverage, reduce sample heterogeneity, and work around potentially confounding factors. Finally, we summarize the different statistical methods that can be used for improving data quality to aid in reliability and interpretation of proteomics findings, as well as to enhance their translatability into clinical use and generalizability to new data sets. (AU)

Processo FAPESP: 19/00098-7 - EMU concedido no processo 2017/25588-1: cromatógrafo Acquity UPLC I-Class
Beneficiário:Daniel Martins-de-Souza
Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários
Processo FAPESP: 19/25957-2 - Caracterização da função das vesículas sinápticas e liberação de neurotransmissores durante o neurodesenvolvimento na Esquizofrenia
Beneficiário:Daniel Martins-de-Souza
Modalidade de apoio: Auxílio à Pesquisa - Regular