Journal article

Potential biomarkers of major depression diagnosis and chronicity

Ana Cecilia de Menezes Galvao, Raissa Nobrega Almeida, Geovan Menezes de Sousa Junior, Mario Andre Leocadio-Miguel, Fernanda Palhano-Fontes, Draulio Barros de Araujo, Bruno Lobao-Soares, Joao Paulo Maia-de-Oliveira, Emerson Arcoverde Nunes, Jaime Eduardo Cecilio Hallak, Jerome Sarris, Nicole Leite Galvao-Coelho

PLOS ONE | PUBLIC LIBRARY SCIENCE | Published : 2021

Abstract

BACKGROUND: Molecular biomarkers are promising tools to be routinely used in clinical psychiatry. Among psychiatric diseases, major depression disorder (MDD) has gotten attention due to its growing prevalence and morbidity. METHODS: We tested some peripheral molecular parameters such as serum mature Brain-Derived Neurotrophic Factor (mBDNF), plasma C-Reactive Protein (CRP), serum cortisol (SC), and the salivary Cortisol Awakening Response (CAR), as well as the Pittsburgh sleep quality inventory (PSQI), as part of a multibiomarker panel for potential use in MDD diagnosis and evaluation of disease's chronicity using regression models, and ROC curve. RESULTS: For diagnosis model, two groups wer..

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University of Melbourne Researchers

Grants

Awarded by Brazilian National Council for Scientific and Technological Development (CNPq)


Awarded by Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)


Awarded by CAPES


Awarded by National Science and Technology Institute for Translational Medicine


Awarded by CNPq


Awarded by NHMRC Clinical Research Fellowship


Funding Acknowledgements

This study was funded by the Brazilian National Council for Scientific and Technological Development (CNPq, grants #466760/2014 & #479466/2013), and by Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) (grants #1677/2012 & #1577/2013) from the Ministry of Science, Technology, Innovations and Communications, and Brazilian Ministry of Education, respectively. ACMG is supported by CAPES (Research Fellowship 88882.344060/201901). NLGC is supported by CAPES (Finance Code 001, Research Fellowship 88887.466701/2019-00) and National Science and Technology Institute for Translational Medicine (INCT-TM Fapesp 2014/50891-1; CNPq 465458/2014-9). JS is supported by an NHMRC Clinical Research Fellowship (APP1125000).