Evidence mapPaperPMID 35563307Full record

SynthesisInternational journal of molecular sciences2022

Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia.

João E Rodrigues, Ana Martinho, Catia Santa, Nuno Madeira, Manuel Coroa, Vítor Santos, Maria J Martins, Carlos N Pato, Antonio Macedo, Bruno Manadas

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Apolipoprotein D as a Potential Biomarker in Neuropsychiatric Disorders.International journal of molecular sciences · 2023
    Review
  7. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

João E RodriguesCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0002-8621-5410
Ana MartinhoCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0001-5248-1588
Catia SantaCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.
Nuno MadeiraFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0001-5009-8841
Manuel CoroaCIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0001-6591-686X
Vítor SantosCIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal.
Maria J MartinsCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0001-5339-1269
Carlos N PatoDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.
Antonio MacedoFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0003-2180-2718
Bruno ManadasCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0002-2087-4042
University of Coimbra · PTHospitais da Universidade de Coimbra · PTSUNY Downstate Health Sciences University · US

Funding

Fundação para a Ciência e Tecnologia POCI-01-0145-FEDER-30943 (ref.: PTDC/MEC-PSQ/30943/2017), POCI-01-0145-FEDER-016428 (ref.: SAICTPAC/0010/2015), POCI-01-0145-FEDER-016795 (ref.: PTDC/NEU-SCC/7051/2014) - and UIDB/04539/2020 and UIDP/04539/2020. CS was supported by Ph.D. fellowship SFRH/B
6 · The paper itself

Abstract

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.

Indexed as

ProteomicsSchizophreniaBiomarkersComputational BiologyHumansMass SpectrometryBiomarkersbiomarkershuman peripheral fluidsmass spectrometryproteomicsschizophrenia

Identifiers

PMID35563307
PMCPMC9105255
OpenAlexW4225136054

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.