Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia
Mass spectrometry (MS)-based techniques can be a powerful tool to identify neuropsychiatric disorder biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids of schizophrenia (SCZ) patients to identify disease biomarke...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/23/9/4917 |
| _version_ | 1797504474874380288 |
|---|---|
| author | João E. Rodrigues Ana Martinho Catia Santa Nuno Madeira Manuel Coroa Vítor Santos Maria J. Martins Carlos N. Pato Antonio Macedo Bruno Manadas |
| author_facet | João E. Rodrigues Ana Martinho Catia Santa Nuno Madeira Manuel Coroa Vítor Santos Maria J. Martins Carlos N. Pato Antonio Macedo Bruno Manadas |
| author_sort | João E. Rodrigues |
| collection | DOAJ |
| description | Mass spectrometry (MS)-based techniques can be a powerful tool to identify neuropsychiatric disorder biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids of schizophrenia (SCZ) patients to identify disease biomarkers and relevant networks of biological pathways. Following PRISMA guidelines, a search was performed for studies that used MS proteomics approaches to identify proteomic differences between SCZ patients and healthy control groups (PROSPERO database: CRD42021274183). Nineteen articles fulfilled the inclusion criteria, allowing the identification of 217 differentially expressed proteins. Gene ontology analysis identified lipid metabolism, complement and coagulation cascades, and immune response as the main enriched biological pathways. Meta-analysis results suggest the upregulation of FCN3 and downregulation of APO1, APOA2, APOC1, and APOC3 in SCZ patients. Despite the proven ability of MS proteomics to characterize SCZ, several confounding factors contribute to the heterogeneity of the findings. In the future, we encourage the scientific community to perform studies with more extensive sampling and validation cohorts, integrating omics with bioinformatics tools to provide additional comprehension of differentially expressed proteins. The produced information could harbor potential proteomic biomarkers of SCZ, contributing to individualized prognosis and stratification strategies, besides aiding in the differential diagnosis. |
| first_indexed | 2024-03-10T04:05:06Z |
| format | Article |
| id | doaj.art-2e6fa54c4fe24d2a9574b4dfa05465f8 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T04:05:06Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-2e6fa54c4fe24d2a9574b4dfa05465f82023-11-23T08:24:10ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-04-01239491710.3390/ijms23094917Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of SchizophreniaJoão E. Rodrigues0Ana Martinho1Catia Santa2Nuno Madeira3Manuel Coroa4Vítor Santos5Maria J. Martins6Carlos N. Pato7Antonio Macedo8Bruno Manadas9CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, PortugalCNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, PortugalCNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, PortugalFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, PortugalCIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, PortugalCIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, PortugalCNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, PortugalDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USAFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, PortugalCNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, PortugalMass spectrometry (MS)-based techniques can be a powerful tool to identify neuropsychiatric disorder biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids of schizophrenia (SCZ) patients to identify disease biomarkers and relevant networks of biological pathways. Following PRISMA guidelines, a search was performed for studies that used MS proteomics approaches to identify proteomic differences between SCZ patients and healthy control groups (PROSPERO database: CRD42021274183). Nineteen articles fulfilled the inclusion criteria, allowing the identification of 217 differentially expressed proteins. Gene ontology analysis identified lipid metabolism, complement and coagulation cascades, and immune response as the main enriched biological pathways. Meta-analysis results suggest the upregulation of FCN3 and downregulation of APO1, APOA2, APOC1, and APOC3 in SCZ patients. Despite the proven ability of MS proteomics to characterize SCZ, several confounding factors contribute to the heterogeneity of the findings. In the future, we encourage the scientific community to perform studies with more extensive sampling and validation cohorts, integrating omics with bioinformatics tools to provide additional comprehension of differentially expressed proteins. The produced information could harbor potential proteomic biomarkers of SCZ, contributing to individualized prognosis and stratification strategies, besides aiding in the differential diagnosis.https://www.mdpi.com/1422-0067/23/9/4917proteomicsmass spectrometryschizophreniabiomarkershuman peripheral fluids |
| spellingShingle | João E. Rodrigues Ana Martinho Catia Santa Nuno Madeira Manuel Coroa Vítor Santos Maria J. Martins Carlos N. Pato Antonio Macedo Bruno Manadas Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia International Journal of Molecular Sciences proteomics mass spectrometry schizophrenia biomarkers human peripheral fluids |
| title | Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia |
| title_full | Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia |
| title_fullStr | Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia |
| title_full_unstemmed | Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia |
| title_short | Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia |
| title_sort | systematic review and meta analysis of mass spectrometry proteomics applied to human peripheral fluids to assess potential biomarkers of schizophrenia |
| topic | proteomics mass spectrometry schizophrenia biomarkers human peripheral fluids |
| url | https://www.mdpi.com/1422-0067/23/9/4917 |
| work_keys_str_mv | AT joaoerodrigues systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT anamartinho systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT catiasanta systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT nunomadeira systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT manuelcoroa systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT vitorsantos systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT mariajmartins systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT carlosnpato systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT antoniomacedo systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia AT brunomanadas systematicreviewandmetaanalysisofmassspectrometryproteomicsappliedtohumanperipheralfluidstoassesspotentialbiomarkersofschizophrenia |