Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders
Cardiometabolic disorders have known inflammatory implications, and peripheral measures of inflammation and cardiometabolic disorders are common in persons with psychotic disorders. Inflammatory signatures are also related to neurobiological and behavioral changes in psychosis. Relationships between...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | Brain, Behavior, & Immunity - Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666354622000497 |
| _version_ | 1811255763199328256 |
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| author | Lusi Zhang Paulo Lizano Bin Guo Yanxun Xu Leah H. Rubin S. Kristian Hill Ney Alliey-Rodriguez Adam M. Lee Baolin Wu Sarah K. Keedy Carol A. Tamminga Godfrey D. Pearlson Brett A. Clementz Matcheri S. Keshavan Elliot S. Gershon John A. Sweeney Jeffrey R. Bishop |
| author_facet | Lusi Zhang Paulo Lizano Bin Guo Yanxun Xu Leah H. Rubin S. Kristian Hill Ney Alliey-Rodriguez Adam M. Lee Baolin Wu Sarah K. Keedy Carol A. Tamminga Godfrey D. Pearlson Brett A. Clementz Matcheri S. Keshavan Elliot S. Gershon John A. Sweeney Jeffrey R. Bishop |
| author_sort | Lusi Zhang |
| collection | DOAJ |
| description | Cardiometabolic disorders have known inflammatory implications, and peripheral measures of inflammation and cardiometabolic disorders are common in persons with psychotic disorders. Inflammatory signatures are also related to neurobiological and behavioral changes in psychosis. Relationships between systemic inflammation and cardiometabolic genetic risk in persons with psychosis have not been examined. Thirteen peripheral inflammatory markers and genome-wide genotyping were assessed in 122 participants (n = 86 psychosis, n = 36 healthy controls) of European ancestry. Cluster analyses of inflammatory markers classified higher and lower inflammation subgroups. Single-trait genetic risk scores (GRS) were constructed for each participant using previously reported GWAS summary statistics for the following traits: schizophrenia, bipolar disorder, major depressive disorder, coronary artery disease, type-2 diabetes, low-density lipoprotein, high-density lipoprotein, triglycerides, and waist-to-hip ratio. Genetic correlations across traits were quantified. Principal component (PC) analysis of the cardiometabolic GRSs generated six PC loadings used in regression models to examine associations with inflammation markers. Functional module discovery explored biological mechanisms of the inflammation association of cardiometabolic GRS genes. A subgroup of 38% persons with psychotic disorders was characterized with higher inflammation status. These higher inflammation individuals had lower BACS scores (p = 0.038) compared to those with lower inflammation. The first PC of the cardiometabolic GRS matrix was related to higher inflammation status in persons with psychotic disorders (OR = 2.037, p = 0.001). Two of eight modules within the functional interaction network of cardiometabolic GRS genes were enriched for immune processes. Cardiometabolic genetic risk may predispose some individuals with psychosis to elevated inflammation which adversely impacts cognition associated with illness. |
| first_indexed | 2024-04-12T17:29:48Z |
| format | Article |
| id | doaj.art-1a23080d1f804048b2ed18f0baa52996 |
| institution | Directory Open Access Journal |
| issn | 2666-3546 |
| language | English |
| last_indexed | 2024-04-12T17:29:48Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain, Behavior, & Immunity - Health |
| spelling | doaj.art-1a23080d1f804048b2ed18f0baa529962022-12-22T03:23:10ZengElsevierBrain, Behavior, & Immunity - Health2666-35462022-07-0122100459Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disordersLusi Zhang0Paulo Lizano1Bin Guo2Yanxun Xu3Leah H. Rubin4S. Kristian Hill5Ney Alliey-Rodriguez6Adam M. Lee7Baolin Wu8Sarah K. Keedy9Carol A. Tamminga10Godfrey D. Pearlson11Brett A. Clementz12Matcheri S. Keshavan13Elliot S. Gershon14John A. Sweeney15Jeffrey R. Bishop16Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USADepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USADivision of Biostatistics, School of Public Health, University of Minnesota, MN, USADepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USADepartment of Neurology, Psychiatry, and Epidemiology, Johns Hopkins University, Baltimore, MD, USADepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USADepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USADepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USADivision of Biostatistics, School of Public Health, University of Minnesota, MN, USADepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USADepartment of Psychiatry, Southwestern Medical Center, University of Texas, Dallas, TX, USADepartment of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA; Department of Neurobiology, School of Medicine, Yale University, New Haven, CT, USADepartment of Psychology and Neuroscience, University of Georgia, Athens, GA, USADepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USADepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USADepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USADepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA; Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA; Corresponding author. University of Minnesota College of Pharmacy, 308 Harvard St SE, Minneapolis, MN, 55455, USA.Cardiometabolic disorders have known inflammatory implications, and peripheral measures of inflammation and cardiometabolic disorders are common in persons with psychotic disorders. Inflammatory signatures are also related to neurobiological and behavioral changes in psychosis. Relationships between systemic inflammation and cardiometabolic genetic risk in persons with psychosis have not been examined. Thirteen peripheral inflammatory markers and genome-wide genotyping were assessed in 122 participants (n = 86 psychosis, n = 36 healthy controls) of European ancestry. Cluster analyses of inflammatory markers classified higher and lower inflammation subgroups. Single-trait genetic risk scores (GRS) were constructed for each participant using previously reported GWAS summary statistics for the following traits: schizophrenia, bipolar disorder, major depressive disorder, coronary artery disease, type-2 diabetes, low-density lipoprotein, high-density lipoprotein, triglycerides, and waist-to-hip ratio. Genetic correlations across traits were quantified. Principal component (PC) analysis of the cardiometabolic GRSs generated six PC loadings used in regression models to examine associations with inflammation markers. Functional module discovery explored biological mechanisms of the inflammation association of cardiometabolic GRS genes. A subgroup of 38% persons with psychotic disorders was characterized with higher inflammation status. These higher inflammation individuals had lower BACS scores (p = 0.038) compared to those with lower inflammation. The first PC of the cardiometabolic GRS matrix was related to higher inflammation status in persons with psychotic disorders (OR = 2.037, p = 0.001). Two of eight modules within the functional interaction network of cardiometabolic GRS genes were enriched for immune processes. Cardiometabolic genetic risk may predispose some individuals with psychosis to elevated inflammation which adversely impacts cognition associated with illness.http://www.sciencedirect.com/science/article/pii/S2666354622000497Cardiometabolic syndromeGenetic risk scorePeripheral inflammationPsychotic disorders |
| spellingShingle | Lusi Zhang Paulo Lizano Bin Guo Yanxun Xu Leah H. Rubin S. Kristian Hill Ney Alliey-Rodriguez Adam M. Lee Baolin Wu Sarah K. Keedy Carol A. Tamminga Godfrey D. Pearlson Brett A. Clementz Matcheri S. Keshavan Elliot S. Gershon John A. Sweeney Jeffrey R. Bishop Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders Brain, Behavior, & Immunity - Health Cardiometabolic syndrome Genetic risk score Peripheral inflammation Psychotic disorders |
| title | Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| title_full | Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| title_fullStr | Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| title_full_unstemmed | Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| title_short | Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| title_sort | inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders |
| topic | Cardiometabolic syndrome Genetic risk score Peripheral inflammation Psychotic disorders |
| url | http://www.sciencedirect.com/science/article/pii/S2666354622000497 |
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