Evidence map›Paper›PMID 36615518›Full record

ReviewMolecules (Basel, Switzerland)2022

Experiences and Perspectives of GC-MS Application for the Search of Low Molecular Weight Discriminants of Schizophrenia.

Natalia Porozova, Elena Danilova, Igor Senshinov, Andreas Tsakalof, Alexander Nosyrev

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 2 countries.

Natalia PorozovaLaboratory of Analytical Toxicology and Immunochemistry, Department of Biomedical Problems, National Research Center on Addictions, Branch of Serbsky Institute for General and Forensic Psychiatry, 119839 Moscow, Russia.ORCID 0000-0003-0253-5968
Elena DanilovaLaboratory of Analytical Toxicology and Immunochemistry, Department of Biomedical Problems, National Research Center on Addictions, Branch of Serbsky Institute for General and Forensic Psychiatry, 119839 Moscow, Russia.ORCID 0000-0001-9079-872X
Igor SenshinovLaboratory of Analytical Toxicology and Immunochemistry, Department of Biomedical Problems, National Research Center on Addictions, Branch of Serbsky Institute for General and Forensic Psychiatry, 119839 Moscow, Russia.
Andreas TsakalofLaboratory of Biochemistry, Faculty of Health Sciences, School of Medicine, University of Thessaly, Biopolis, 41111 Larissa, Greece.ORCID 0000-0003-4702-0394
Alexander NosyrevLaboratory of Analytical Toxicology and Immunochemistry, Department of Biomedical Problems, National Research Center on Addictions, Branch of Serbsky Institute for General and Forensic Psychiatry, 119839 Moscow, Russia.
Sechenov University · RUFederal Medical Research Centre for Psychiatry and Narcology · RULomonosov Moscow State University · RUUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is one of the most severe chronic mental disorders that is currently diagnosed and categorized through subjective clinical assessment of complex symptoms. At present, there is a recognized need for an objective, unbiased clinical test for schizophrenia diagnosis at an early stage and categorization of the disease. This can be achieved by assaying low-molecular-weight biomarkers of the disease. Here we give an overview of previously conducted research on the discovery of biomarkers of schizophrenia and focus on the studies implemented with the use of GC-MS and the least invasiveness of biological samples acquisition. The presented data demonstrate that GC-MS is a powerful instrumental platform for investigating dysregulated biochemical pathways implicated in schizophrenia pathogenesis. With this platform, different research groups suggested a number of low molecular weight biomarkers of schizophrenia. However, we recognize an inconsistency between the biomarkers or biomarkers patterns revealed by different groups even in the same matrix. Moreover, despite the importance of the problem, the number of relevant studies is limited. The intensification of the research, as well as the harmonization of the analytical procedures to overcome the observed inconsistencies, can be indicated as future directions in the schizophrenia bio-markers quest.

Indexed as

SchizophreniaBiomarkersForecastingGas Chromatography-Mass SpectrometryHumansMolecular WeightBiomarkersbiomarkersGC-MSpsychiatric disordersschizophreniaschizophrenia diagnosis

Identifiers

PMID36615518
PMCPMC9822242
OpenAlexW4313471595

What OpenQuestion 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 OpenQuestion graph.