Evidence map›Paper›PMID 39640846›Full record

ArticleFrontiers in molecular biosciences2024

Extended range proteomic analysis of blood plasma from schizophrenia patients.

Denis V Petrovskiy, Tatiana V Butkova, Kirill S Nikolsky, Arthur T Kopylov, Valeriya I Nakhod, Liudmila I Kulikova, Kristina A Malsagova, Nikolai D Kibrik, Vladimir R Rudnev, Alexander A Izotov and 1 more

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Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Denis V PetrovskiyLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Tatiana V ButkovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Kirill S NikolskyLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Arthur T KopylovLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Valeriya I NakhodLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Liudmila I KulikovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Kristina A MalsagovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Nikolai D KibrikMoscow Research Institute of Psychiatry - Branch of the V. Serbsky National Medical Research Centre of Psy-chiatry and Narcology of the Ministry of Health of the Russian Federation, Department of Sexology, Moscow, Russia.
Vladimir R RudnevLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Alexander A IzotovLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Anna L KayshevaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The high prevalence of schizophrenia worldwide makes it necessary to proceed from subjective assessment of patient's clinical symptoms in diagnosis making to searching for circulating blood biomarkers. On the one hand, searching for molecular markers and targets for therapeutics will make it possible to refine and detail the molecular mechanisms of pathology development, while on the other hand, it will offer new opportunities for elaborating novel approaches to disease diagnosis and enhance efficacy and timeliness of drug therapy. Methods: In this study, we performed an extended-range proteomic analysis of plasma samples collected from 48 study subjects with confirmed diagnosis of schizophrenia and 50 healthy volunteers. The high-resolution tandem mass spectra recorded in the data-dependent acquisition mode were analyzed using the MaxQuant algorithm for the library of known protein sequences and the PowerNovo algorithm for Results: It was demonstrated that both strategies show similar results for high-abundance proteins (≥1 μg/mL). For mid-abundance (10 ng/mL - 1 μg/mL) and low-abundance (<10 ng/mL) proteins, the results obtained by the two search strategies complement each other. Discussion: Group-specific proteins for the samples of schizophrenia patients were identified, presumably being involved in synaptic plasticity, angiogenesis, transcriptional regulation, protein stabilization and degradation.

Indexed as

DDA-MSde novo identificationpost-translational modificationsPowerNovoproteinsschizophreniaserum

Identifiers

PMID39640846
PMCPMC11617367

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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.