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The links between neuroinflammation, brain structure and depressive disorder: A cross-sectional study protocol
It 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...
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Published in: | PloS one 2024-11, Vol.19 (11), p.e0311218 |
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creator | Milasauskiene, Egle Burkauskas, Julius Jesmanas, Simonas Gleizniene, Rymante Borutaite, Vilmante Skemiene, Kristina Vaitkiene, Paulina Adomaitiene, Virginija Lukosevicius, Saulius Gradauskiene, Brigita Brown, Guy Steibliene, Vesta |
description | It 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.
This 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.
Trial registration: Clinicaltrials.gov NCT06203015. |
doi_str_mv | 10.1371/journal.pone.0311218 |
format | article |
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This 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.
Trial registration: Clinicaltrials.gov NCT06203015.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311218</identifier><identifier>PMID: 39565757</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Antidepressants ; Biology and Life Sciences ; Blood levels ; Blood plasma ; Blood-brain barrier ; Body mass index ; Body size ; Brain ; Brain - diagnostic imaging ; Brain - metabolism ; Brain - pathology ; Brain research ; Cognition ; Cognitive ability ; Cross-Sectional Studies ; Cytokines ; Cytokines - blood ; Depressive Disorder, Major - blood ; Depressive Disorder, Major - pathology ; Diagnosis ; Disease ; Evaluation ; Female ; Genes ; Health problems ; Humans ; Hypotheses ; Immune system ; Inflammation ; Kinases ; Lipopolysaccharides ; Lipopolysaccharides - blood ; Magnetic permeability ; Magnetic resonance ; Magnetic Resonance Imaging ; Major depressive disorder ; Male ; Medicine and Health Sciences ; Membrane permeability ; Mental depression ; Mental disorders ; Middle Aged ; Nervous system ; Neurodegeneration ; Neurogenesis ; Neuroimaging ; Neuroinflammatory Diseases - blood ; Neuroinflammatory Diseases - pathology ; Neuropsychological Tests ; Permeability ; Plasma ; Remission (Medicine) ; Research and Analysis Methods ; Risk factors ; Serotonin ; Signs and symptoms ; Social Sciences ; Statistical analysis ; Structure ; Study Protocol</subject><ispartof>PloS one, 2024-11, Vol.19 (11), p.e0311218</ispartof><rights>Copyright: © 2024 Milasauskiene et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Milasauskiene et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Milasauskiene et al 2024 Milasauskiene et al</rights><rights>2024 Milasauskiene et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-f9e614075235334813899830677fbf0a230e4ea726847a213faf6e4bd21c2b553</cites><orcidid>0009-0006-3136-9064</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3131344460/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3131344460?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39565757$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ginsberg, Stephen D.</contributor><creatorcontrib>Milasauskiene, Egle</creatorcontrib><creatorcontrib>Burkauskas, Julius</creatorcontrib><creatorcontrib>Jesmanas, Simonas</creatorcontrib><creatorcontrib>Gleizniene, Rymante</creatorcontrib><creatorcontrib>Borutaite, Vilmante</creatorcontrib><creatorcontrib>Skemiene, Kristina</creatorcontrib><creatorcontrib>Vaitkiene, Paulina</creatorcontrib><creatorcontrib>Adomaitiene, Virginija</creatorcontrib><creatorcontrib>Lukosevicius, Saulius</creatorcontrib><creatorcontrib>Gradauskiene, Brigita</creatorcontrib><creatorcontrib>Brown, Guy</creatorcontrib><creatorcontrib>Steibliene, Vesta</creatorcontrib><title>The links between neuroinflammation, brain structure and depressive disorder: A cross-sectional study protocol</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>It 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.
This 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.
Trial registration: Clinicaltrials.gov NCT06203015.</description><subject>Adult</subject><subject>Antidepressants</subject><subject>Biology and Life Sciences</subject><subject>Blood levels</subject><subject>Blood plasma</subject><subject>Blood-brain barrier</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Brain - pathology</subject><subject>Brain research</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Cross-Sectional Studies</subject><subject>Cytokines</subject><subject>Cytokines - blood</subject><subject>Depressive Disorder, Major - blood</subject><subject>Depressive Disorder, Major - pathology</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Evaluation</subject><subject>Female</subject><subject>Genes</subject><subject>Health problems</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Immune system</subject><subject>Inflammation</subject><subject>Kinases</subject><subject>Lipopolysaccharides</subject><subject>Lipopolysaccharides - blood</subject><subject>Magnetic permeability</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging</subject><subject>Major depressive disorder</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Membrane permeability</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Nervous system</subject><subject>Neurodegeneration</subject><subject>Neurogenesis</subject><subject>Neuroimaging</subject><subject>Neuroinflammatory Diseases - blood</subject><subject>Neuroinflammatory Diseases - pathology</subject><subject>Neuropsychological Tests</subject><subject>Permeability</subject><subject>Plasma</subject><subject>Remission 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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.
This 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.
Trial registration: Clinicaltrials.gov NCT06203015.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39565757</pmid><doi>10.1371/journal.pone.0311218</doi><tpages>e0311218</tpages><orcidid>https://orcid.org/0009-0006-3136-9064</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-11, Vol.19 (11), p.e0311218 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3131344460 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central; Coronavirus Research Database |
subjects | Adult Antidepressants Biology and Life Sciences Blood levels Blood plasma Blood-brain barrier Body mass index Body size Brain Brain - diagnostic imaging Brain - metabolism Brain - pathology Brain research Cognition Cognitive ability Cross-Sectional Studies Cytokines Cytokines - blood Depressive Disorder, Major - blood Depressive Disorder, Major - pathology Diagnosis Disease Evaluation Female Genes Health problems Humans Hypotheses Immune system Inflammation Kinases Lipopolysaccharides Lipopolysaccharides - blood Magnetic permeability Magnetic resonance Magnetic Resonance Imaging Major depressive disorder Male Medicine and Health Sciences Membrane permeability Mental depression Mental disorders Middle Aged Nervous system Neurodegeneration Neurogenesis Neuroimaging Neuroinflammatory Diseases - blood Neuroinflammatory Diseases - pathology Neuropsychological Tests Permeability Plasma Remission (Medicine) Research and Analysis Methods Risk factors Serotonin Signs and symptoms Social Sciences Statistical analysis Structure Study Protocol |
title | The links between neuroinflammation, brain structure and depressive disorder: A cross-sectional study protocol |
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