From periphery immunity to central domain through clinical interview as a new insight on schizophrenia.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
08 Mar 2024
08 Mar 2024
Historique:
received:
18
11
2023
accepted:
05
03
2024
medline:
9
3
2024
pubmed:
9
3
2024
entrez:
8
3
2024
Statut:
epublish
Résumé
Identifying disease predictors through advanced statistical models enables the discovery of treatment targets for schizophrenia. In this study, a multifaceted clinical and laboratory analysis was conducted, incorporating magnetic resonance spectroscopy with immunology markers, psychiatric scores, and biochemical data, on a cohort of 45 patients diagnosed with schizophrenia and 51 healthy controls. The aim was to delineate predictive markers for diagnosing schizophrenia. A logistic regression model was used, as utilized to analyze the impact of multivariate variables on the prevalence of schizophrenia. Utilization of a stepwise algorithm yielded a final model, optimized using Akaike's information criterion and a logit link function, which incorporated eight predictors (White Blood Cells, Reactive Lymphocytes, Red Blood Cells, Glucose, Insulin, Beck Depression score, Brain Taurine, Creatine and Phosphocreatine concentration). No single factor can reliably differentiate between healthy patients and those with schizophrenia. Therefore, it is valuable to simultaneously consider the values of multiple factors and classify patients using a multivariate model.
Identifiants
pubmed: 38459093
doi: 10.1038/s41598-024-56344-3
pii: 10.1038/s41598-024-56344-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5755Subventions
Organisme : Priority Research Area BioS under the program Excellence Initiative-Research University at the Jagiellonian University in Krakow
ID : U1C/P03/NO/03.36
Organisme : Jagiellonian University Medical College Research, Poland
ID : N42/DBS/000340
Organisme : Jagiellonian University Medical College Research, Poland
ID : N41/DBS/000808
Informations de copyright
© 2024. The Author(s).
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