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Wang X, Chen X, Guan X, Li Z. The neutrophil-to-Lymphocyte ratio is associated with clinical symptoms in first-episode medication-naïve patients with schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:13. [PMID: 38310098 PMCID: PMC10851699 DOI: 10.1038/s41537-024-00437-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/08/2024] [Indexed: 02/05/2024]
Abstract
Innate immunity has been shown to be associated with schizophrenia (Sch). This study explored the relationship between symptoms and neutrophil-to-lymphocyte ratio (NLR) (a marker of innate immunity) in patients with Sch. Ninety-seven first-episode medication-naïve (FEMN) patients with Sch and 65 healthy controls were recruited in this study. We measured the complete blood count and assessed the clinical symptoms using the PANSS scales. We found higher NEU counts and NLR in patients with Sch compared with control subjects. Male patients showed a higher NEU count than female patients. In addition, FEMN patients with higher NLR and NEU values showed higher PANSS-p, PANSS-g, and PANSS-total scores (all p < 0.05). Regression analysis revealed that NLR was a predictor for PANSS total scores in patients with Sch. Higher NLR value was observed in patients with Sch and the significant associations between NLR and psychotic symptoms indicate that an imbalance in inflammation and innate immune system may be involved in the pathophysiology of Sch.
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Affiliation(s)
- Xuan Wang
- Hebei Province Veterans Hospital, Baoding, China
| | - Xiaofang Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Xiaoni Guan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Zezhi Li
- Department of Nutritional and Metabolic Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
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2
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Wang Q, Li Y, Ren H, Huang Q, Wang X, Zhou Y, Wu Q, Liu Y, Li M, Wang Y, Liu T, Zhang X. Metabolic characteristics, prevalence of anxiety and its influencing factors in first-episode and drug-naïve major depressive disorder patients with impaired fasting glucose. J Affect Disord 2023; 324:341-348. [PMID: 36586596 DOI: 10.1016/j.jad.2022.12.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 11/19/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Both major depressive disorder (MDD) and impaired fasting glucose (IFG) are associated with metabolic abnormalities and anxiety, but few studies have investigated the relationship between abnormal metabolism and anxiety in first-episode and drug-naïve (FEDN) MDD patients with IFG. This study investigated the psychological status, metabolic properties, the prevalence and influencing factors of anxiety symptoms in the FEDN MDD patients with IFG. METHODS A total of 1718 FEDN MDD outpatients were recruited. Sociodemographic and suicide data were collected for each participant. The Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD), and Hamilton Anxiety Rating Scale (HAMA) were used to assess patients' clinical symptoms. Fasting blood glucose, lipids, body mass index (BMI), and thyroid function-related indicators were also measured. RESULTS FEDN MDD patients with IFG (IFG group) had higher psychotic symptoms, suicide attempts, HAMD score, and HAMA score than FEDN MDD patients without IFG (NIFG group). There were also significant differences in blood lipids, BMI, and thyroid function indicators between the two groups. The prevalence of anxiety symptoms in the IFG group was 20.9 %, which was significantly higher than that in the NIFG group (10.4 %). Furthermore, anxiety symptoms were significantly associated with female, marital status, psychotic symptoms, suicide attempts, and low high-density lipoprotein (HDL-C). CONCLUSION FEDN MDD patients with anxiety who have IFG are more likely to have problems with thyroid function, lipid metabolism, psychotic symptoms and suicide attempts, especially in female patients. Prevention of these problems should be enhanced when treating such patients.
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Affiliation(s)
- Qianjin Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Yifan Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Honghong Ren
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qiuping Huang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Xuyi Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Yanan Zhou
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Qiuxia Wu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Yueheng Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Manyun Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Yunfei Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Tieqiao Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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3
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Karanikas E. The immune-stress/endocrine-redox-metabolic nature of psychosis' etiopathology; focus on the intersystemic pathways interactions. Neurosci Lett 2023; 794:137011. [PMID: 36513162 DOI: 10.1016/j.neulet.2022.137011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/26/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
The evidence supporting the involvement of a number of systems in the neurobiological etiopathology of psychosis has recently grown exponentially. Indeed, the focus of research has changed from measuring solely neurotransmitters to estimating parameters from fields like immunity, stress/endocrine, redox, and metabolism. Yet, little is known regarding the exact role of each one of these fields on the formation of not only the brain neuropathological substrate in psychosis but also the associated general systemic pathology, in terms of causality directions. Research has shown deviations in the levels and/or function of basic effector molecules of the aforementioned fields namely cytokines, pro-/anti- oxidants, glucocorticoids, catecholamines, glucose, and lipids metabolites as well as kynurenines, in psychosis. Yet the evidence regarding their impact on neurotransmitters is minimal and the findings concerning these systems' interactions in the psychotic context are even more dispersed. The present review aims to draw holistically the frame of the hitherto known "players" in the field of psychosis' cellular pathobiology, with a particular focus on their in-between interactions.
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Affiliation(s)
- Evangelos Karanikas
- Department of Psychiatry, 424 General Military Hospital, Thessaloniki, Greece.
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4
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Garrido-Torres N, Ruiz-Veguilla M, Alameda L, Canal-Rivero M, Ruiz MJ, Gómez-Revuelta M, Ayesa-Arriola R, Rubio-García A, Crespo-Facorro B, Vázquez-Bourgon J. Prevalence of metabolic syndrome and related factors in a large sample of antipsychotic naïve patients with first-episode psychosis: Baseline results from the PAFIP cohort. Schizophr Res 2022; 246:277-285. [PMID: 35878542 DOI: 10.1016/j.schres.2022.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 06/03/2022] [Accepted: 07/10/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND Few investigations have been carried out on metabolic syndrome in antipsychotic- naïve patients with schizophrenia. METHODS Our primary objective was to compare the prevalence of Metabolic Syndrome (MetS), as defined by the National Cholesterol Education Program, Adult Treatment Panel III in 2001 (NCEP-ATP III), between a Spanish cohort of 303 drug-naïve patients with a first episode of psychosis (FEP) without any previous cardiovascular condition, and 153 healthy individuals. RESULTS Participants included 303 patients with FEP (M:F 53:46) and 153 control subjects (M:F 56:43). The mean and standard deviation ages were 31(9.38) and 29 (7.57) years in the study and control groups respectively (F = 4.09; p = 0.93). We found that the prevalence of MetS in drug-naïve patients with FEP (5.6 %) was similar to the prevalence of MetS in age-sex matched controls (5.12 %). However, 60.7 % of patients with FEP met at least one of the five MetS components, while among the control subjects only 36.5 % met at least one component. Additionally, we found that other factors not included among the operational definition of MetS, but still important in cardiovascular risk, were also altered. CONCLUSION FEP patients have a greater risk of presenting at least one altered MetS component than healthy controls which could indicate the need of development of screening methods detecting cardiovascular risk. Likewise, gender differences in metabolic components such as waist circumference, which is a predictor of cardiovascular events have been found. Similarly, research should focus on metabolic risk predictors that include not only MetS, but also specific parameters for the early psychosis population.
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Affiliation(s)
- Nathalia Garrido-Torres
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University of Seville, Seville, Spain
| | - Miguel Ruiz-Veguilla
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University of Seville, Seville, Spain
| | - Luis Alameda
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University of Seville, Seville, Spain; Service of General Psychiatry, Lausanne University Hospital (CHUV), Lausanne 1008, Switzerland; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Manuel Canal-Rivero
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University of Seville, Seville, Spain
| | - María Juncal Ruiz
- Department of Psychiatry, Sierrallana Hospital-Instituto de Investigación Marqués de Valdecilla (IDIVAL), Torrelavega, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Marcos Gómez-Revuelta
- Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain; Department of Psychiatry, University Hospital Marqués de Valdecilla-Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain
| | - Rosa Ayesa-Arriola
- Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University Hospital Marqués de Valdecilla-Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain
| | - Ana Rubio-García
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain
| | - Benedicto Crespo-Facorro
- Mental Health Unit, Virgen del Rocio University Hospital, Seville, Spain; Translational Psychiatry Group, Seville Biomedical Research Institute (IBiS), Seville, Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Psychiatry, University of Seville, Seville, Spain.
| | - Javier Vázquez-Bourgon
- Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Madrid, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain; Department of Psychiatry, University Hospital Marqués de Valdecilla-Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain
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5
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Zhang L, Lizano P, Guo B, Xu Y, Rubin LH, Hill SK, Alliey-Rodriguez N, Lee AM, Wu B, Keedy SK, Tamminga CA, Pearlson GD, Clementz BA, Keshavan MS, Gershon ES, Sweeney JA, Bishop JR. Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders. Brain Behav Immun Health 2022; 22:100459. [PMID: 35496776 PMCID: PMC9046804 DOI: 10.1016/j.bbih.2022.100459] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 03/31/2022] [Indexed: 02/07/2023] Open
Abstract
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.
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Affiliation(s)
- Lusi Zhang
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Bin Guo
- Division of Biostatistics, School of Public Health, University of Minnesota, MN, USA
| | - Yanxun Xu
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
| | - Leah H. Rubin
- Department of Neurology, Psychiatry, and Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - S. Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Ney Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Adam M. Lee
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Baolin Wu
- Division of Biostatistics, School of Public Health, University of Minnesota, MN, USA
| | - Sarah K. Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Carol A. Tamminga
- Department of Psychiatry, Southwestern Medical Center, University of Texas, Dallas, TX, USA
| | - Godfrey D. Pearlson
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Department of Neurobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Brett A. Clementz
- Department of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Elliot S. Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Jeffrey R. Bishop
- Department 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
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6
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Coentre R, Levy P, Góis C, Figueira ML. Metabolic syndrome following a first episode of psychosis: results of a 1-year longitudinal study conducted in metropolitan Lisbon, Portugal. J Int Med Res 2022; 50:3000605221106703. [PMID: 35726606 PMCID: PMC9218473 DOI: 10.1177/03000605221106703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective We aimed to assess the prevalence and course of metabolic syndrome (MetS) and the associated metabolic parameters during the year following a first episode pf psychosis (FEP). Methods We performed a 1-year longitudinal observation of 60 patients who experienced FEP. MetS was defined using the modified definition of the National Cholesterol Education Program Adult Treatment Panel III. We assessed the metabolic parameters and socio-demographic and psychopathological data for the participants. Results The mean age of the participants was 27.1 years, and 33.3% of them were women. There was an increase in the prevalence of MetS from 6.7% to 11.7% during the year following the baseline assessment during the year following the baseline assessment (p = 0.250). There were also significant increases in the prevalences of abnormal triglyceride concentration, waist circumference, and high-density lipoprotein (HDL)-cholesterol concentration during this period. In addition, there was a considerable worsening of the metabolic profile of the participants. No baseline parameters were identified to be predictors of MetS over the 1-year follow-up period. Conclusions We can conclude that metabolic abnormalities are common in patients with FEP and that these rapidly worsen during the first year following the diagnosis of FEP. Studies on interventions are needed to reduce metabolic risk to cardiovascular diseases following the FEP.
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Affiliation(s)
- Ricardo Coentre
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.,Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Pedro Levy
- Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Carlos Góis
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.,Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
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7
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Ustohal L, Mayerova M, Horska K, Obdrzalkova M, Crhova H, Prikrylova Kucerova H, Ceskova E, Kasparek T. Hemodynamic and white blood cells parameters in patients with first-episode psychosis: a pilot longitudinal study. Int J Psychiatry Clin Pract 2022; 26:213-216. [PMID: 34375167 DOI: 10.1080/13651501.2021.1962357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Patients with schizophrenia are at higher risk of cardiovascular (CVS) related mortality. Close attention is being paid to the clinical utility of readily available CVS markers. METHODS A pilot one-year longitudinal study in inpatients with first-episode psychosis (FEP) was carried out to determine markers of inflammation and endothelial dysfunction (monocyte- and neutrophil-to-lymphocyte ratios) and basal blood pressure, pulse, and derived hemodynamic parameters (PP: pulse pressure; RPP: rate pressure product; and MAP: mean arterial pressure). RESULTS After one year, PP and RPP increased, as did systolic blood pressure and heart rate. Systolic blood pressure, PP, total white blood cells, and neutrophils correlated with weight gain. After one year, correlations between monocyte-to-lymphocyte ratio and RPP and MAP were observed. CONCLUSION Our study indicates worsening CVS health over the first year of treatment and emphasises the importance of early monitoring of CVS status using easily accessible parameters to prevent CVS-related mortality.Key pointsPatients with schizophrenia are at higher risk of cardiovascular mortality.The CVS risk could be evaluated using affordable, routinely available CVS markers such as monocyte- and neutrophil-to-lymphocyte ratios, blood pressure, and pulse together with the derived parameters.Our pilot study in first-episode psychosis patients indicates worsening of CVS health based on these parameters during the first year of treatment, the early monitoring of CVS status is highly relevant in clinical practice.
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Affiliation(s)
- Libor Ustohal
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic.,Department of Pharmacology and Toxicology, Faculty of Pharmacy, Masaryk University, Brno, Czech Republic
| | - Michaela Mayerova
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic
| | - Katerina Horska
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic.,Department of Pharmacology and Toxicology, Faculty of Pharmacy, Masaryk University, Brno, Czech Republic.,Department of Clinical Pharmacy, University Hospital Brno, Brno, Czech Republic
| | - Marie Obdrzalkova
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic
| | - Hana Crhova
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic
| | | | - Eva Ceskova
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic
| | - Tomas Kasparek
- Department of Psychiatry, University Hospital Brno and Faculty of Medicine Masaryk University, Brno, Czech Republic
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8
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Metabolic polygenic risk scores effect on antipsychotic-induced metabolic dysregulation: A longitudinal study in a first episode psychosis cohort. Schizophr Res 2022; 244:101-110. [PMID: 35659654 DOI: 10.1016/j.schres.2022.05.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 03/18/2022] [Accepted: 05/21/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Metabolic syndrome is a health-threatening condition suffered by approximately one third of schizophrenia patients and largely attributed to antipsychotic medication. Previous evidence reports a common genetic background of psychotic and metabolic disorders. In this study, we aimed to assess the role of polygenic risk scores (PRSs) on the progression of the metabolic profile in a first-episode psychosis (FEP) cohort. METHOD Of the 231 FEP individuals included in the study, 192-220 participants were included in basal analysis and 118-179 in longitudinal 6-month models. Eleven psychopathologic and metabolic PRSs were constructed. Basal and longitudinal PRSs association with metabolic measurements was assessed by statistical analyses. RESULTS No major association of psychopathological PRSs with the metabolic progression was found. However, high risk individuals for depression and cholesterol-related PRSs reported a higher increase of cholesterol levels during the follow-up (FDR ≤ 0.023 for all analyses). Their effect was comparable to other well-established pharmacological and environmental risk factors (explaining at least 1.2% of total variance). CONCLUSION Our findings provide new evidence of the effects of metabolic genetic risk on the development of metabolic dysregulation. The future establishment of genetic profiling tools in clinical procedures could enable practitioners to better personalize antipsychotic treatment selection and dosage.
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9
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Garrido-Torres N, Rocha-Gonzalez I, Alameda L, Rodriguez-Gangoso A, Vilches A, Canal-Rivero M, Crespo-Facorro B, Ruiz-Veguilla M. Metabolic syndrome in antipsychotic-naïve patients with first-episode psychosis: a systematic review and meta-analysis. Psychol Med 2021; 51:2307-2320. [PMID: 34493353 DOI: 10.1017/s0033291721002853] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND It is unclear what the prevalence of metabolic syndrome (MetS) in drug-naïve first-episode of psychosis (FEP) is, as previous meta-analyses were conducted in minimally exposed or drug-naïve FEP patients with psychotic disorder at any stage of the disease; thus, a meta-analysis examining MetS in naïve FEP compared with the general population is needed. METHODS Studies on individuals with FEP defined as drug-naïve (0 days exposure to antipsychotics) were included to conduct a systematic review. A meta-analysis of proportions for the prevalence of MetS in antipsychotic-naïve patients was performed. Prevalence estimates and 95% CI were calculated using a random-effect model. Subgroup analyses and meta-regressions to identify sources and the amount of heterogeneity were also conducted. RESULTS The search yielded 4143 articles. After the removal of duplicates, 2473 abstracts and titles were screened. At the full-text stage, 112 were screened, 18 articles were included in a systematic review and 13 articles in the main statistical analysis. The prevalence of MetS in naïve (0 days) FEP is 13.2% (95% CI 8.7-19.0). Ethnicity accounted for 3% of the heterogeneity between studies, and diagnostic criteria used for MetS accounted for 7%. When compared with controls matched by sex and age, the odds ratio is 2.52 (95% CI 1.29-5.07; p = 0.007). CONCLUSIONS Our findings of increased rates of MetS in naïve FEP patients suggest that we are underestimating cardiovascular risk in this population, especially in those of non-Caucasian origin. Our findings support that altered metabolic parameters in FEPs are not exclusively due to antipsychotic treatments.
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Affiliation(s)
- Nathalia Garrido-Torres
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Idalino Rocha-Gonzalez
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), CH-1008Lausanne, Switzerland
| | | | - Ana Vilches
- University Hospital Virgen del Rocio, Sevilla, Spain
| | - Manuel Canal-Rivero
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, School of Medicine, University Hospital Virgen del Rocio, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Miguel Ruiz-Veguilla
- Department of Psychiatry, School of Medicine, University Hospital Virgen del Rocio, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
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10
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Linnaranta O, Trontti KT, Honkanen J, Hovatta I, Keinänen J, Suvisaari J. Peripheral metabolic state and immune system in first-episode psychosis - A gene expression study with a prospective one-year follow-up. J Psychiatr Res 2021; 137:383-392. [PMID: 33765450 DOI: 10.1016/j.jpsychires.2021.03.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 12/19/2022]
Abstract
he excess availability of glucose and lipids can also have an impact on the dynamics of activation and regulation of peripheral immune cellsWe aimed at understanding the correlations between peripheral metabolic state and immune system during the first year in first-episode psychosis (FEP). Patients with FEP (n = 67) and matched controls (n = 38), aged 18-40 years, were met at baseline, 2 and 12 months. Fasting peripheral blood samples were collected. We applied the NanoString nCounter in-solution hybridization technology to determine gene expression levels of 178 candidate genes reflecting activation of the immune system. Serum triglycerides, high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and insulin and plasma glucose (fP-Gluc) were measured. We applied Ingenuity Pathway Analysis (IPA) to visualize enrichment of genes to functional classes. Strength of positive or negative regulation of the disease and functional pathways was deduced from IPA activation Z-score at the three evaluation points. We correlated gene expression with plasma glucose, triglycerids and HDL and LDL, and used hierarchical clustering of the pairwise correlations to identify groups of genes with similar correlation patterns with metabolic markers. In patients, initially, genes associated with the innate immune system response pathways were upregulated, which decreased by 12 months. Furthermore, genes associated with apoptosis and T cell death were downregulated, and genes associated with lipid metabolism were increasingly downregulated by 12 months. The immune activation was thus an acute phase during illness onset. At baseline, after controlling for multiple testing, 31/178 genes correlated positively with fasting glucose levels, and 54/178 genes negatively with triglycerides in patients only. The gene clusters showed patterns of correlations with metabolic markers over time. The results suggest a functional link between peripheral immune system and metabolic state in FEP. Metabolic factors may have had an influence on the initial activation of the innate immune system. Future work is necessary to understand the role of metabolic state in the regulation of immune response in the early phases of psychosis.
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Affiliation(s)
- Outi Linnaranta
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Centre for Sleep and Biological Rhythms, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, H4H 1R3, Montreal, QC, Canada; Department of Public Health Solutions, Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271, Helsinki, Finland.
| | - Kalevi T Trontti
- Sleep Well Research Program, Faculty of Medicine, P.O. Box 21, FI-00014, University of Helsinki, Finland; Neuroscience Center, Helsinki Institute of Life Science HiLIFE, P.O. Box 21, FI-00014, University of Helsinki, Finland
| | - Jarno Honkanen
- Research Program for Clinical and Molecular Metabolism, P.O. Box 63, FI-00014, University of Helsinki, Helsinki, Finland
| | - Iiris Hovatta
- Sleep Well Research Program, Faculty of Medicine, P.O. Box 21, FI-00014, University of Helsinki, Finland; Neuroscience Center, Helsinki Institute of Life Science HiLIFE, P.O. Box 21, FI-00014, University of Helsinki, Finland; Department of Psychology and Logopedics, Medicum, P.O. Box 21, FI-00014, University of Helsinki, Finland
| | - Jaakko Keinänen
- Department of Public Health Solutions, Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271, Helsinki, Finland; Department of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 590, FI-00029, Helsinki, Finland
| | - Jaana Suvisaari
- Department of Public Health Solutions, Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271, Helsinki, Finland
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11
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Arnaiz JA, Rodrigues-Silva C, Mezquida G, Amoretti S, Cuesta MJ, Fraguas D, Lobo A, González-Pinto A, Díaz-Caneja MC, Corripio I, Vieta E, Baeza I, Mané A, García-Rizo C, Bioque M, Saiz J, Bernardo M, Mas S. The usefulness of Olanzapine plasma concentrations in monitoring treatment efficacy and metabolic disturbances in first-episode psychosis. Psychopharmacology (Berl) 2021; 238:665-676. [PMID: 33230696 DOI: 10.1007/s00213-020-05715-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 11/10/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The role of Olanzapine therapeutic drug monitoring is controversial. The present study explores the associations of Olanzapine plasma concentrations with clinical response and metabolic side effects in first episode psychosis (FEP) after 2 months of treatment. METHODS Forty-seven patients were included. Improvement in clinical symptomatology was assessed using the PANSS. Metabolic assessment included weight, blood pressure, waist circumference, blood glucose, total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglycerides. RESULTS The Olanzapine plasma concentrations after 2 months of treatment were positively correlated with weight gain (r = 0.49, p = 0.003), and a concentration > 23.28 ng/mL was identified as a positive predictor of weight gain (≥ 7%). The Olanzapine concentration to dose (C/D) ratio was positively correlated with the percentage of improvement in the total PANSS (r = 0.46, p = 0.004), and a C/D ratio > 2.12 was identified as a positive predictor of a good response (percentage of improvement > 30%) after 2 months of treatment. We also identified several factors that could alter Olanzapine pharmacokinetics: gender (p = 0.03), diagnosis (p = 0.05), smoking habit (p = 0.05), and co-medications such as valproic acid (p = 0.05) and anxiolytics (p = 0.01). DISCUSSION In conclusion, our results suggest that therapeutic drug monitoring of Olanzapine could be helpful to evaluate therapeutic efficacy and metabolic dysfunction in FEP patients treated with Olanzapine.
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Affiliation(s)
- J A Arnaiz
- Phase I Unit, Clinical Pharmacology Department, Hospital Clinic de Barcelona (HCB), Barcelona, Spain.,Department of Basic Clinical Practice, University of Barcelona (UB), Casanova 143, E-08036, Barcelona, Spain
| | - C Rodrigues-Silva
- Department of Pharmacology, Institute of Biological Sciences, Federal University of Goiás, Goiânia, GO, Brazil
| | - G Mezquida
- Department of Basic Clinical Practice, University of Barcelona (UB), Casanova 143, E-08036, Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, HCB, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - S Amoretti
- Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, HCB, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - M J Cuesta
- Departmentof Psychiatry, Complejo Hospitalario de Navarra, Instituto de Investigaciones Sanitarias de Navarra (IdiSNa), Pamplona, Spain
| | - D Fraguas
- Institute of Psychiatry and Mental Health, Hospital Clínico San Carlos, IdISSC, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - A Lobo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Medicine and Psychiatry, Zaragoza University, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - A González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Hospital Universitario Araba, Servicio de Psiquiatria, UPV/EHU, Bioaraba, Spain
| | - M C Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - I Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau; Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - E Vieta
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - I Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - A Mané
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Autonomous university of Barcelona (UAB), Barcelona, Spain
| | - C García-Rizo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain.,Department of Medicine, Barcelona, UB, Spain
| | - M Bioque
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain.,Department of Medicine, Barcelona, UB, Spain
| | - J Saiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - M Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain.,Department of Medicine, Barcelona, UB, Spain
| | - S Mas
- Department of Basic Clinical Practice, University of Barcelona (UB), Casanova 143, E-08036, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain. .,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.
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12
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Petruzzelli MG, Marzulli L, Giannico OV, Furente F, Margari M, Matera E, Margari F. Glucose Metabolism, Thyroid Function, and Prolactin Level in Adolescent Patients With First Episode of Schizophrenia and Affective Disorders. Front Psychiatry 2020; 11:775. [PMID: 32848941 PMCID: PMC7422423 DOI: 10.3389/fpsyt.2020.00775] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 07/21/2020] [Indexed: 12/15/2022] Open
Abstract
Schizophrenia and affective spectrum disorders (ASD) typically begin in adolescence or early adulthood. The pathophysiological mechanisms underlying these disorders are still not fully understood, and recent studies have suggested an involvement of dysfunctions in cardiometabolic and neuroendocrine systems at the onset of both disorders. In this context, we aimed to assess thyroid function, prolactin level, glucose metabolism, and lipid profile in drug naive adolescents, comparing patients with first episode of schizophrenia spectrum disorders (SSD) and patients with ASD. We performed a retrospective chart review from inpatients aged from ten to eighteen years, referred to Child and Adolescent Psychiatric Unit of University of Bari "Aldo Moro" over a period of 4 years, with diagnosis of SSD (n=30) or ASD (n=22), according to Diagnostic and Statistical Manual for Mental Disorders-fifth edition (DSM-5) criteria. Data on serum prolactin, glucose, insulin, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglycerides, thyroid stimulating hormone, free triiodothyronin, and free thyroxin were collected, and the insulin resistance (IR) indexes "HOMA1-IR" and "HOMA2-IR" were calculated. The multivariable linear regression models, adjusting for potential confounding factors (age, sex, and BMI), showed HOMA1-IR (p=0.001), HOMA2-IR (p=0.002), glucose (p=0.004), insulin (p=0.004) and free thyroxin (p<0.001) values higher in the SSD group than in ASD. No others significant differences were found. Our findings suggest the need for a metabolic and endocrine screening at the onset of SSD and ASD, particularly for indexes of IR, that is a testable and treatable risk factor for cardiometabolic diseases. Further studies are required to better understand the role of endocrinological and metabolic dysfunctions at the onset of severe mental illness also considering influencing factors as age, gender, and BMI.
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Affiliation(s)
- Maria Giuseppina Petruzzelli
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | - Lucia Marzulli
- Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Bari, Italy
| | - Orazio Valerio Giannico
- Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Bari, Italy
| | - Flora Furente
- Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Bari, Italy
| | - Mariella Margari
- Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Bari, Italy
| | - Emilia Matera
- Child Neuropsychiatry Unit, Azienda Ospedaliero-Universitaria Policlinico di Bari, Bari, Italy
| | - Francesco Margari
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
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13
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García-Rizo C, Bioque M, Mezquida G, Amoretti S, Cuesta MJ, Díaz-Caneja CM, Mas S, Lobo A, González-Pinto A, Fraguas D, Corripio I, Vieta E, Baeza I, Bergé D, Fernandez-Egea E, Garriga M, Bernardo M. Birth weight and antipsychotic induced weight gain: A prenatal programming approach in the PEPs study. Schizophr Res 2020; 218:292-294. [PMID: 32001078 DOI: 10.1016/j.schres.2019.12.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/21/2019] [Accepted: 12/21/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Clemente García-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain.
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Navarre Hospital Complex, IdiSNA, Navarre Institute for Health Research, Pamplona, Spain
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Sergi Mas
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, University of Zaragoza, CIBERSAM, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Department of Psychiatry, Hospital Universitario de Alava-Santiago, BIOARABA, CIBERSAM, University of the Basque Country, Vitoria-Gasteiz, Spain
| | - David Fraguas
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau; CIBERSAM, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Eduard Vieta
- Bipolar and Depressives Disorder Unit, Hospital Clinic de Barcelona, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute of Neurosciences, CIBERSAM, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Daniel Bergé
- Hospital del Mar Medical Research Institute (IMIM), Department of psychiatry, Neuroscience group, Autonomous University of Barcelona, CIBERSAM, Barcelona, Spain
| | - Emilio Fernandez-Egea
- Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, CB2 0QQ Cambridge, Cambridge shire and Peterborough NHS Foundation Trust, Huntingdon PE29 3RJ, CIBERSAM, UK
| | - Marina Garriga
- Bipolar and Depressives Disorder Unit, Hospital Clinic de Barcelona, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
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14
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Ferns G. Cause, consequence or coincidence: The relationship between psychiatric disease and metabolic syndrome. TRANSLATIONAL METABOLIC SYNDROME RESEARCH 2018. [DOI: 10.1016/j.tmsr.2018.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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15
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Petruzzelli MG, Margari M, Peschechera A, de Giambattista C, De Giacomo A, Matera E, Margari F. Hyperprolactinemia and insulin resistance in drug naive patients with early onset first episode psychosis. BMC Psychiatry 2018; 18:246. [PMID: 30068291 PMCID: PMC6090964 DOI: 10.1186/s12888-018-1827-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 07/24/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Hyperprolactinemia and glucose and lipid metabolism abnormalities are often found in patients with schizophrenia and are generally considered secondary to the use of antipsychotic drugs. More recent studies have shown these same neuroendocrine and metabolic abnormalities in antipsychotic naïve patients with first episode psychosis (FEP), rising the hypothesis that schizophrenia itself may be related to an abnormal regulation of prolactin secretion and to impaired glucose tolerance. The aim of this study was to compare prolactin levels, glycometabolism parameters and lipid profile between a sample of 31 drug-naive adolescents in the acute phase of FEP and a control group of 23 subjects at clinical high risk (CHR) of developing psychosis. METHODS The assessment involved anthropometric data (weight, height, BMI index, pubertal stage) and blood tests (levels of glucose, glycated hemoglobin, serum insulin, triglycerides, total and fractionated cholesterol, prolactin). Insulin resistance (IR) was calculated through the homeostatic model of assessment (HOMA-IR), assuming a cut-off point of 3.16 for adolescent population. FEP patients and CHR controls were compared by using Student's t-distribution (t-test) for parametric data. P < 0.05 was considered significant. RESULTS Significant higher level of prolactin was found in FEP group than in CHR group (mean = 28.93 ± 27.16 vs 14.29 ± 7.86, P = 0.009), suggesting a condition of hyperprolactinemia (HPRL). Patients with FEP were more insulin resistant compared to patients at CHR, as assessed by HOMA-IR (mean = 3.07 ± 1.76 vs 2.11 ± 1.11, P = 0.043). Differences of fasting glucose (FEP = 4.82 ± 0.71, CHR = 4.35 ± 0.62, P = 0.016) and HbA1c (FEP = 25.86 ± 13.31, CHR = 33.00 ± 2.95, P = 0.013), were not clinically significant as the mean values were within normal range for both groups. No significant differences were found for lipid profile. A BMI value within the range of normal weight was found for both groups, with no significant differences. CONCLUSION We suggested that HPRL, increase in HOMA-IR, and psychotic symptoms may be considered different manifestations of the acute onset of schizophrenia spectrum psychosis, with a common neurobiological vulnerability emerging since adolescence. The influence of age and gender on clinical manifestations of psychotic onset should be considered for early prevention and treatment of both schizophrenia spectrum psychosis and neuroendocrine-metabolic dysfunctions.
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Affiliation(s)
- Maria Giuseppina Petruzzelli
- Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.
| | - Mariella Margari
- 0000 0001 0120 3326grid.7644.1Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Antonia Peschechera
- 0000 0001 0120 3326grid.7644.1Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Concetta de Giambattista
- 0000 0001 0120 3326grid.7644.1Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Andrea De Giacomo
- 0000 0001 0120 3326grid.7644.1Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Emilia Matera
- 0000 0001 0120 3326grid.7644.1Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Francesco Margari
- 0000 0001 0120 3326grid.7644.1Psychiatry Unit , Department of Basic Medical Sciences, Neuroscience and Sense Organ, University of Bari “Aldo Moro”, Azienda Ospedaliero-Universitaria Policlinico di Bari, Piazza Giulio Cesare 11, 70124 Bari, Italy
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16
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Bocchio-Chiavetto L, Zanardini R, Tosato S, Ventriglia M, Ferrari C, Bonetto C, Lasalvia A, Giubilini F, Fioritti A, Pileggi F, Pratelli M, Pavanati M, Favaro A, De Girolamo G, Frisoni GB, Ruggeri M, Gennarelli M. Immune and metabolic alterations in first episode psychosis (FEP) patients. Brain Behav Immun 2018; 70:315-324. [PMID: 29548996 DOI: 10.1016/j.bbi.2018.03.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 03/09/2018] [Accepted: 03/11/2018] [Indexed: 12/14/2022] Open
Abstract
The molecular underpinnings associated to first episode psychosis (FEP) remains to be elucidated, but compelling evidence supported an association of FEP with blood alterations in biomarkers related to immune system, growth factors and metabolism regulators. Many of these studies have not been already confirmed in larger samples or have not considered the FEP diagnostic subgroups. In order to identify biochemical signatures of FEP, the serum levels of the growth factors BDNF and VEGF, the immune regulators IL-1RA, IL-6, IL-10 and IL-17, RANTES/CCL5, MIP-1b/CCL4, IL-8 and the metabolic regulators C-peptide, ghrelin, GIP, GLP-1, glucagon, insulin, leptin, PAI-1, resistin and visfatin were analysed in 260 subjects collected in the GET UP project. The results indicated an increase of MIP-1b/CCL4, VEGF, IL-6 and PAI-1, while IL-17, ghrelin, glucagon and GLP-1 were decreased in the whole sample of FEP patients (p < 0.01 for all markers except for PAI-1 p < 0.05). No differences were evidenced for these markers among the diagnostic groups that constitute the FEP sample, whereas IL-8 is increased only in patients with a diagnosis of affective psychosis. The principal component analysis (PCA) and variable importance analysis (VIA) indicated that MIP-1b/CCL4, ghrelin, glucagon, VEGF and GLP-1 were the variables mostly altered in FEP patients. On the contrary, none of the analysed markers nor a combination of them can discriminate between FEP diagnostic subgroups. These data evidence a profile of immune and metabolic alterations in FEP patients, providing new information on the molecular mechanism associated to the psychosis onset for the development of preventive strategies and innovative treatment targets.
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Affiliation(s)
- Luisella Bocchio-Chiavetto
- IRCCS Centro S. Giovanni di Dio, Fatebenefratelli, Brescia, Italy; Faculty of Psychology, eCampus University, Novedrate (Como), Italy.
| | | | - Sarah Tosato
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mariacarla Ventriglia
- Fatebenefratelli Foundation, AFaR Division, Fatebenefratelli Hospital, Isola Tiberina, Rome, Italy
| | - Clarissa Ferrari
- IRCCS Centro S. Giovanni di Dio, Fatebenefratelli, Brescia, Italy
| | - Chiara Bonetto
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Antonio Lasalvia
- Unit of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy
| | | | | | | | | | - Michele Pavanati
- Department of Medical Sciences of Communication and Behavior, Section of Psychiatry, The Consultation-Liaison Psychiatric Service and Psychiatric Unit, University of Ferrara, Italy
| | - Angela Favaro
- Department of Neurosciences, University of Padua and Azienda Ospedaliera, Padua, Italy
| | | | - Giovanni Battista Frisoni
- IRCCS Centro S. Giovanni di Dio, Fatebenefratelli, Brescia, Italy; Geneva University Hospital and University of Geneva, Switzerland
| | - Mirella Ruggeri
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimo Gennarelli
- IRCCS Centro S. Giovanni di Dio, Fatebenefratelli, Brescia, Italy; Dept. of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, Italy
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17
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Evolution of metabolic risk factors over a two-year period in a cohort of first episodes of psychosis. Schizophr Res 2018; 193:188-196. [PMID: 28663026 DOI: 10.1016/j.schres.2017.06.032] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 06/16/2017] [Accepted: 06/18/2017] [Indexed: 02/04/2023]
Abstract
Patients with a first episode of psychosis (FEP) display a broad range of metabolic risk factors related to the development of diverse medical comorbidities. Initial stages of these disorders are essential in understanding the increased vulnerability of developing cardiometabolic disturbances, associated with a reduced life expectancy. This study aimed to evaluate the metabolic profile of a cohort of patients with a FEP and its evolution during a two year follow-up, as well as the factors that influence the changes in their metabolic status. 16 participating centers from the PEPs Project recruited 335 subjects with a FEP and 253 matched healthy controls, aged 9-35years. We investigated a set of anthropometric measures, vital signs and laboratory data obtained from each participant over two years in a prospective, naturalistic study. From the beginning of the study the FEP group showed differences in the metabolic profile compared to the control group, together with a progressive worsening in the major part of the analyzed variables during the follow-up period, with higher rates of obesity and metabolic syndrome. Certain risk factors were related to determinate clinical variables such as male gender, the presence of affective symptoms or an early onset or to treatment variables such as the use of antipsychotic polypharmacy, antidepressants or mood stabilizers. Our results highlight the extremely high risk of patients at early phases of schizophrenia and other psychotic disorders of developing cardiovascular comorbidity and the fast worsening of the metabolic profile during the first two years.
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Barcones MF, MacDowell KS, García-Bueno B, Bioque M, Gutiérrez-Galve L, González-Pinto A, Parellada MJ, Bobes J, Bernardo M, Lobo A, Leza JC. Cardiovascular Risk in Early Psychosis: Relationship with Inflammation and Clinical Features 6 Months after Diagnosis. Int J Neuropsychopharmacol 2017; 21:410-422. [PMID: 29228174 PMCID: PMC5932475 DOI: 10.1093/ijnp/pyx110] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 11/18/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND We aimed to investigate the state of cardiovascular risk/protection factors in early psychosis patients. METHODS A total 119 subjects were recruited during the first year after their first episode of psychosis. Eighty-five of these subjects were followed during the next 6 months. Cardiovascular risk/protection factors were measured in plasma and co-variated by sociodemographic/clinical characteristics. Multiple linear regression models detected the change of each biological marker from baseline to follow-up in relation to clinical scales, antipsychotic medication, and pro-/antiinflammatory mediators. RESULTS Glycosylated hemoglobin is a state biomarker in first episode of psychosis follow-up patients and inversely correlated to the Global Assessment of Functioning scale. We found opposite alterations in the levels of VCAM-1 and E-selectin in first episode of psychosis baseline conditions compared with control that were absent in the first episode of psychosis follow-up group. Adiponectin levels decreased in a continuum in both pathological time points studied. E-Selectin plasma levels were inversely related to total antipsychotic equivalents and adiponectin levels inversely co-related to the Global Assessment of Functioning scale. Finally, adiponectin levels were directly related to antiinflammatory nuclear receptor PPARγ expression in first episode of psychosis baseline conditions and to proinflammatory nuclear factor nuclear factor κB activity in follow-up conditions, respectively. CONCLUSIONS Our results support the need for integrating cardiovascular healthcare very early after the first episode of psychosis.
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Affiliation(s)
| | - Karina Soledad MacDowell
- Department of Pharmacology, Faculty of Medicine, Complutense University, Instituto de Investigación Sanitaria Hospital, IUINQ, Madrid, Spain
| | - Borja García-Bueno
- FLAMM-PEPs* study, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain and Hospital Universitario Miguel Servet, Unidad de Medicina Familiar y Comunitaria, Department of Medicine and Psychiatry, University of Zaragoza Instituto de Investigación Sanitaria, Aragón, Spain,Department of Pharmacology, Faculty of Medicine, Complutense University, Instituto de Investigación Sanitaria Hospital, IUINQ, Madrid, Spain,Correspondence: Borja García Bueno, PhD, Department of Pharmacology, Faculty of Medicine, University Complutense, Av. Complutense s/n 28040, Madrid, Spain ()
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Leticia Gutiérrez-Galve
- FLAMM-PEPs* study, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain and Hospital Universitario Miguel Servet, Unidad de Medicina Familiar y Comunitaria, Department of Medicine and Psychiatry, University of Zaragoza Instituto de Investigación Sanitaria, Aragón, Spain
| | | | - Maria José Parellada
- Child and Adolescent Psychiatry Department, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Julio Bobes
- Department of Psychiatry, Faculty of Medicine, University of Oviedo, Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain,Universitat de Barcelona, Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, University of Zaragoza, Instituto de Investigación Sanitaria, Aragón, Spain
| | - Juan Carlos Leza
- Department of Pharmacology, Faculty of Medicine, Complutense University, Instituto de Investigación Sanitaria Hospital, IUINQ, Madrid, Spain
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Kriisa K, Leppik L, Balõtšev R, Ottas A, Soomets U, Koido K, Volke V, Innos J, Haring L, Vasar E, Zilmer M. Profiling of Acylcarnitines in First Episode Psychosis before and after Antipsychotic Treatment. J Proteome Res 2017; 16:3558-3566. [PMID: 28786289 DOI: 10.1021/acs.jproteome.7b00279] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Acylcarnitines (ACs) have been shown to have a potential to activate pro-inflammatory signaling pathways and to foster the development of insulin resistance. The first task of the current study was to study the full list of ACs (from C2 to C18) in first episode psychosis (FEP) patients before and after antipsychotic treatment. The second task was to relate ACs to inflammatory and metabolic biomarkers established in the same patient cohort as in our previous studies. Serum levels of ACs were determined with the AbsoluteIDQ p180 kit (BIOCRATES Life Sciences AG, Innsbruck, Austria) using the flow injection analysis tandem mass spectrometry ([FIA]-MS/MS) as well as liquid chromatography ([LC]-MS/MS) technique. Identification and quantification of the metabolites was achieved using multiple reactions monitoring along with internal standards. The comparison of ACs in antipsychotic-naïve first-episode psychosis (FEP) patients (N = 38) and control subjects (CSs, N = 37) revealed significantly increased levels of long-chain ACs (LCACs) C14:1 (p = 0.0001), C16 (p = 0.00002), and C18:1 (p = 0.000001) in the patient group. These changes of LCACs were associated with augmented levels of CARN palmitoyltransferase 1 (CPT-1) (p = 0.006). By contrast, the level of short-chain AC (SCAC) C3 was significantly reduced (p = 0.00003) in FEP patients. Seven months of antipsychotic drug treatment ameliorated clinical symptoms in patients (N = 36) but increased significantly their body mass index (BMI, p = 0.001). These changes were accompanied by significantly reduced levels of C18:1 (p = 0.00003) and C18:2 (p = 0.0008) as well as increased level of C3 (p = 0.01). General linear model revealed the relation of LCACs (C16, C16:1, and C18:1) to the inflammatory markers (epidermal growth factor, IL-2, IL-4, IL-6), whereas SCAC C3 was linked to the metabolic markers (leptin, C-peptide) and BMI. FEP was associated with an imbalance of ACs in patients because the levels of several LCACs were significantly higher and the levels of several SCACs were significantly reduced compared with CSs. This imbalance was modified by 7 months of antipsychotic drug treatment, reversing the levels of both LCACs and SCACs to that established for CSs. This study supports the view that ACs have an impact on both inflammatory and metabolic alterations inherent for FEP.
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Affiliation(s)
- Kärt Kriisa
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Liisa Leppik
- Psychiatry Clinic of Tartu University Hospital , 31 Raja Street, Tartu 50417, Estonia
| | - Roman Balõtšev
- Psychiatry Clinic of Tartu University Hospital , 31 Raja Street, Tartu 50417, Estonia
| | - Aigar Ottas
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Ursel Soomets
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Kati Koido
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Vallo Volke
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Jürgen Innos
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Liina Haring
- Psychiatry Clinic of Tartu University Hospital , 31 Raja Street, Tartu 50417, Estonia
| | - Eero Vasar
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
| | - Mihkel Zilmer
- Institute of Biomedicine and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu , 19 Ravila Street, Tartu 50411, Estonia
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