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The links between neuroinflammation, brain structure and depressive disorder: A cross-sectional study protocol.

Authors :
Egle Milasauskiene
Julius Burkauskas
Simonas Jesmanas
Rymante Gleizniene
Vilmante Borutaite
Kristina Skemiene
Paulina Vaitkiene
Virginija Adomaitiene
Saulius Lukosevicius
Brigita Gradauskiene
Guy Brown
Vesta Steibliene
Source :
PLoS ONE, Vol 19, Iss 11, p e0311218 (2024)
Publication Year :
2024
Publisher :
Public Library of Science (PLoS), 2024.

Abstract

IntroductionIt is known that symptoms of major depressive disorder (MDD) are associated with neurodegeneration, that lipopolysaccharide (LPS) can induce symptoms of MDD, and that blood LPS levels are elevated in neurodegeneration. However, it is not known whether blood LPS and cytokine levels correlate with MDD, cognition and brain structure, and this is tested in this study.Methods and analysisThis cross-sectional study includes individuals with MDD (n = 100) and a control group of individuals with no one-year history of a mental disorder (n = 50). A comprehensive evaluation is performed, including the collection of basic sociodemographic information, data on smoking status, body mass index, course of MDD, past treatment, comorbid diseases, and current use of medications. Diagnosis of MDD is performed according to the WHO's [2019] International Classification of Diseases and related health problems by psychiatrist and severity of MDD is evaluated using the Montgomery-Åsberg Depression Scale. The Cambridge Neuropsychological Test Automated Battery is used to evaluate cognitive functioning. Venous blood samples are taken to measure genetic and inflammatory markers, and multiparametric brain magnetic resonance imaging is performed to evaluate for blood-brain barrier permeability, structural and neurometabolic brain changes. Descriptive and inferential statistics, including linear and logistic regression, will be used to analyse relationships between blood plasma LPS and inflammatory cytokine concentrations in MDD patients and controls. The proposed sample sizes are suitable for identifying significant differences between the groups, according to a power analysis.Administrative informationTrial registration: Clinicaltrials.gov NCT06203015.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
19
Issue :
11
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.08f59827518f4edcbd987120dd579a39
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0311218