Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/100219
Title: Systematic Review and Meta-Analysis on MS-Based Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Bipolar Disorder
Authors: Rodrigues, Joao E.
Martinho, Ana
Santos, Vítor
Santa, Cátia 
Madeira, Nuno
Martins, Maria J.
Pato, Carlos N. 
Macedo, António 
Manadas, Bruno 
Keywords: biomarkers; bipolar disorder; human peripheral fluids; mass spectrometry; proteomics
Issue Date: 2022
Publisher: MDPI
Project: POCI-01-0145- FEDER-016428 
POCI-01-0145-FEDER-016795 
POCI-01-0145-FEDER-30943 
PTDC/MEC-PSQ/30943/2017 
info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC/NEU-SCC/7051/2014/PT/Schizophrenia diagnosis and prognosis: finding the way to a personalized medicine 
info:eu-repo/grantAgreement/FCT/9471 - RIDTI/SAICTPAC/0010/2015/PT 
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/04539/2020/PT 
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP/04539/2020/PT 
info:eu-repo/grantAgreement/FCT/FARH/SFRH/BD/88419/2012/PT/ANALYSIS OF THE HIPPOCAMPAL AND CORTEX PROTEOME OF MICE EXPOSED TO PSYCHOTROPIC MEDICATION 
Serial title, monograph or event: International Journal of Molecular Sciences
Volume: 23
Issue: 10
Place of publication or event: Basel, Switzerland
Abstract: Bipolar disorder (BD) is a clinically heterogeneous condition, presenting a complex underlying etiopathogenesis that is not sufficiently characterized. Without molecular biomarkers being used in the clinical environment, several large screen proteomics studies have been conducted to provide valuable molecular information. Mass spectrometry (MS)-based techniques can be a powerful tool for the identification of disease biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids to assess BD biomarkers and identify relevant networks of biological pathways. Following PRISMA guidelines, we searched for studies using MS proteomics to identify proteomic differences between BD patients and healthy controls (PROSPERO database: CRD42021264955). Fourteen articles fulfilled the inclusion criteria, allowing the identification of 266 differentially expressed proteins. Gene ontology analysis identified complement and coagulation cascades, lipid and cholesterol metabolism, and focal adhesion as the main enriched biological pathways. A meta-analysis was performed for apolipoproteins (A-I, C-III, and E); however, no significant differences were found. Although the proven ability of MS proteomics to characterize BD, there are several confounding factors contributing to the heterogeneity of the findings. In the future, we encourage the scientific community to use broader samples and validation cohorts, integrating omics with bioinformatics tools towards providing a comprehensive understanding of proteome alterations, seeking biomarkers of BD, and contributing to individualized prognosis and stratification strategies, besides aiding in the differential diagnosis. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
URI: http://hdl.handle.net/10316/100219
ISSN: 1422-0067
DOI: 10.3390/ijms23105460
Rights: openAccess
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais
I&D CIBB - Artigos em Revistas Internacionais

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