Patterns of Membrane Protein Clustering in Peripheral Lymphocytes as Predictors of Therapeutic Outcomes in Major Depressive Disorder

There is an utmost necessity of developing novel biomarkers of depression that result in a more efficacious use of current antidepressant drugs. The present report reviews and discusses a recent series of experiments that focused on analysis of membrane protein clustering in peripheral lymphocytes a...

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Detalhes bibliográficos
Autores: Caruncho, Hector J., Rivera Baltanas, Tania, Romay-Tallon, Raquel, Kalynchuk, Lisa E., Olivares Diez, José Manuel
Tipo de documento: artigo
Data de publicação:2019
País:España
Recursos:Servizo Galego de Saúde (SERGAS)
Repositório:RUNA. Repositorio da Consellería de Sanidade e Sergas
OAI Identifier:oai:runa.sergas.gal:20.500.11940/12022
Acesso em linha:https://www.ncbi.nlm.nih.gov/pubmed/?term=30930773
http://hdl.handle.net/20.500.11940/12022
Access Level:Acceso aberto
Palavra-chave:Antidepressive Agents
Membrane Proteins
Depressive Disorder, Major
proteínas de membranas
trastorno depresivo mayor
antidepresivos
Depresión
Biomarcadores
Descrição
Resumo:There is an utmost necessity of developing novel biomarkers of depression that result in a more efficacious use of current antidepressant drugs. The present report reviews and discusses a recent series of experiments that focused on analysis of membrane protein clustering in peripheral lymphocytes as putative biomarkers of therapeutic efficacy for major depressive disorder. This review recapitulates how the ideas were originated, and the main findings demonstrated that analysis of serotonin transporter and serotonin 2 A receptor clustering in peripheral lymphocytes of naïve depression patients resulted in a discrimination of two subpopulations of depressed patients that showed a differential response upon 8 weeks of antidepressant treatment. The paper also reviews the usefulness of animal models of depression for an initial evaluation of membrane protein clustering in lymphocytes, which provides a screening tool to determine additional proteins to be further evaluated in depression patients. Finally, the present review provides a brief discussion of the general field of biomarkers of depression in relation to therapeutic outcomes and suggests additional ideas to provide extra value to the reviewed studies.