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Dong Y, Zhu M, Li Y, Liu N, Wang X, Yang B, Li S, Li Z. Association of cytokines levels, psychopathology and cognition among CR-TRS patients with metabolic syndrome. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:47. [PMID: 38627438 PMCID: PMC11021544 DOI: 10.1038/s41537-024-00469-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024]
Abstract
Clozapine-resistant treatment-refractory schizophrenia (CR-TRS) patients face significant clinical challenges. While links between metabolic syndrome (MetS) and inflammatory cytokines in schizophrenia have been established, the relationship between MetS and cytokine levels in CR-TRS patients remains unexplored. This study aimed to investigate the relationship between cytokines levels, clinical symptoms and cognitive impairments in CR-TRS patients, both with and without MetS. The study included 69 CR-TRS patients (31with MetS and 38 without MetS) and 84 healthy controls. The levels of IL-2, IL-6, TNF-α and routine biochemical parameters were measured. Psychopathological symptoms and cognitive function were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), respectively. We found that CR-TRS patients with MetS displayed lower cognitive function scores compared to those without MetS, even when accounting for potential confounders. TNF-α levels were significantly higher in CRTRS patients with MetS compared to those without MetS, demonstrating substantial pathophysiological potential for CR-TRS patients with MetS via receiver operating characteristic curve (ROC). In CR-TRS patients without MetS, IL-2 independently contributed to the total score and general psychopathology subscore of PANSS. Additionally, IL-6 exhibited an independent contribution to the positive subscore of PANSS. In terms of cognition function, IL-6 independently contributed to the delayed memory of RBANS in CR-TRS patients without MetS. TNF-α could potentially serve as a predictive marker for distinguishing between CR-TRS patients with/without MetS, while IL-2 and IL-6 could independently contribute to psychopathological symptoms or cognitive function in CRTRS patients without MetS. Our study provided insights into the potential interplay between cytokines, clinical symptoms and cognitive impairments in CR-TRS patients with/without MetS.
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Affiliation(s)
- Yeqing Dong
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
- Psychoneuromodulation Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
| | - Minghuan Zhu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Yanzhe Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
- Psychoneuromodulation Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
| | - Nannan Liu
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
- Psychoneuromodulation Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
| | - Xinxu Wang
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
- Psychoneuromodulation Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
| | - Bing Yang
- Department of Cell Biology, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shen Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
- Psychoneuromodulation Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
| | - Zezhi Li
- Department of Nutritional and Metabolic Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, 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.
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China.
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Mahmood A, Haider H, Samad S, Kumar D, Perwaiz A, Mushtaq R, Ali A, Farooq MZ, Farhat H. Association of white blood cell parameters with metabolic syndrome: A systematic review and meta-analysis of 168,000 patients. Medicine (Baltimore) 2024; 103:e37331. [PMID: 38457562 PMCID: PMC10919507 DOI: 10.1097/md.0000000000037331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/26/2024] [Accepted: 01/31/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Leukocyte parameters are predicted to be affected in patients with metabolic syndrome (MetS). We conducted a systematic review and meta-analysis to study the association between white blood cell parameters (WBC) in people with and without MetS. METHODS PubMed, EMBASE, Scopus and Cochrane Library databases were searched according to the study protocol. The standardized mean difference (SMD) and 95% confidence intervals (CI) of leukocyte markers between individuals with and without MetS were pooled using an inverse variance model. Additionally, a subgroup analysis by sex was performed where possible. Methodological quality assessment was conducted using the Newcastle-Ottawa scale (NOS) for observational studies and the Cochrane Risk of Bias tool 2.0 for Randomized Controlled Trials (RCTs). RESULTS Of 6068 articles identified, 63 were eligible for the study. Compared to controls, individuals with MetS showed significantly higher concentrations of total leukocyte count (SMD [95% CI]: 0.60 [0.55-0.65]; P < .00001; I2 = 100%), neutrophil counts (0.32 [0.28-0.37]; P < .00001; I2 = 99%), lymphocyte counts (0.15 [0.07-0.23]; P = .0004; I2 = 100%), basophil counts (0.01 [0.00-0.02]; P = .02; I2 = 98%), monocyte counts (0.05 [0.02-0.09]; P = .003; I2 = 99%), and neutrophil-to-lymphocyte ratio (0.24 [0.15-0.33]; P < .00001; I2 = 98%). There were no significant differences in the eosinophil count (0.02 [-0.01 to 0.05]; P = .19; I2 = 96%) and monocyte-to-lymphocyte ratio (0.06 [-0.05 to 0.17]; P = .27; I2 = 100%) between patients with and without MetS, however, the lymphocyte-to-monocyte ratio (0.52 [-0.81 to -0.23]; P = .0005; I2 = 52%) tended to be significantly lower in patients with MetS. CONCLUSION Biomarkers such as total leukocyte count, neutrophil count, lymphocyte count, basophil count, monocyte count and neutrophil-to-lymphocyte ratio are associated with higher levels in patients in MetS and thus can potentially be used for early detection of MetS.
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Affiliation(s)
- Aysal Mahmood
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Hoorain Haider
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Saba Samad
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Danisha Kumar
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Aimen Perwaiz
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Rabeea Mushtaq
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Abraish Ali
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | | | - Hadi Farhat
- Faculty of Medicine, Lebanese University, Beirut, Lebanon
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Godin O, Olié E, Fond G, Aouizerate B, Aubin V, Bellivier F, Belzeaux R, Courtet P, Dubertret C, Haffen E, Lefrere A, Llorca PM, Polosan M, Roux P, Samalin L, Schwan R, Leboyer M, Etain B. Incidence and predictors of metabolic syndrome onset in individuals with bipolar disorders: A longitudinal study from the FACE-BD cohort. Acta Psychiatr Scand 2024; 149:207-218. [PMID: 38268142 DOI: 10.1111/acps.13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/05/2023] [Accepted: 12/29/2023] [Indexed: 01/26/2024]
Abstract
INTRODUCTION Metabolic syndrome (MetS) is a cluster of components including abdominal obesity, hyperglycemia, hypertension, and dyslipidemia. MetS is highly prevalent in individuals with bipolar disorders (BD) with an estimated global rate of 32.6%. Longitudinal data on incident MetS in BD are scarce and based on small sample size. The objectives of this study were to estimate the incidence of MetS in a large longitudinal cohort of 1521 individuals with BD and to identify clinical and biological predictors of incident MetS. METHODS Participants were recruited from the FondaMental Advanced Center of Expertise for Bipolar Disorder (FACE-BD) cohort and followed-up for 3 years. MetS was defined according to the International Diabetes Federation criteria. Individuals without MetS at baseline but with MetS during follow-up were considered as having incident MetS. A logistic regression model was performed to estimate the adjusted odds ratio and its corresponding 95% confidence interval (CI) for an association between each factor and incident MetS during follow-up. We applied inverse probability-of-censoring weighting method to minimize selection bias due to loss during follow-up. RESULTS Among individuals without MetS at baseline (n = 1521), 19.3% developed MetS during follow-up. Multivariable analyses showed that incident MetS during follow-up was significantly associated with male sex (OR = 2.2, 95% CI = 1.7-3.0, p < 0.0001), older age (OR = 2.14, 95% CI = 1.40-3.25, p = 0.0004), presence of a mood recurrence during follow-up (OR = 1.91, 95% CI = 1.22-3.00, p = 0.0049), prolonged exposure to second-generation antipsychotics (OR = 1.56, 95% CI = 0.99, 2.45, p = 0.0534), smoking status at baseline (OR = 1.30, 95% CI = 1.00-1.68), lifetime alcohol use disorders (OR = 1.33, 95% CI = 0.98-1.79), and baseline sleep disturbances (OR = 1.04, 95% CI = 1.00-1.08), independently of the associations observed for baseline MetS components. CONCLUSION We observed a high incidence of MetS during a 3 years follow-up (19.3%) in individuals with BD. Identification of predictive factors should help the development of early interventions to prevent or treat early MetS.
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Affiliation(s)
- O Godin
- Fondation FondaMental, Créteil, France
- INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, Université Paris Est Créteil, Créteil, France
| | - E Olié
- Fondation FondaMental, Créteil, France
- Department of Emergency Psychiatry and Acute Care, IGF, University of Montpellier, CNRS, INSERM, CHU Montpellier, Montpellier, France
| | - G Fond
- Fondation FondaMental, Créteil, France
- AP-HM, Academic Department of Psychiatry, Resistant Depression Expert Center (FondaMental Foundation), CHU La Conception, Aix-Marseille University, Marseille, France
| | - B Aouizerate
- Fondation FondaMental, Créteil, France
- Centre Hospitalier Charles Perrens, Pôle de Psychiatrie Générale et Universitaire, Laboratoire NutriNeuro (UMR INRAE 1286), Université de Bordeaux, Bordeaux, France
| | - V Aubin
- Fondation FondaMental, Créteil, France
- Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco, France
| | - F Bellivier
- Fondation FondaMental, Créteil, France
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Université Paris Cité, Paris, France
- Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Paris, France
| | - R Belzeaux
- Fondation FondaMental, Créteil, France
- University of Montpellier & Department of Psychiatry, CHU de Montpellier, Montpellier, France
| | - P Courtet
- Fondation FondaMental, Créteil, France
- Department of Emergency Psychiatry and Acute Care, IGF, University of Montpellier, CNRS, INSERM, CHU Montpellier, Montpellier, France
| | - C Dubertret
- Fondation FondaMental, Créteil, France
- AHPH, Departement de Psychiatrie, Hopital Louis Mourier, Colombes, France
| | - E Haffen
- Fondation FondaMental, Créteil, France
- UR 481 LINC, Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, Université de Franche-Comté, Besançon, France
| | - A Lefrere
- Fondation FondaMental, Créteil, France
- Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - P M Llorca
- Fondation FondaMental, Créteil, France
- Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal (UMR 6602), Clermont-Ferrand, France
| | - M Polosan
- Fondation FondaMental, Créteil, France
- University of Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - P Roux
- Fondation FondaMental, Créteil, France
- Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'Adulte et d'Addictologie, Le Chesnay, France
- Université Paris-Saclay, Université de Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, Villejuif, France
| | - L Samalin
- Fondation FondaMental, Créteil, France
- Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal (UMR 6602), Clermont-Ferrand, France
| | - R Schwan
- Fondation FondaMental, Créteil, France
- Centre Psychothérapique de Nancy, Inserm U1254, Université de Lorraine, Nancy, France
| | - M Leboyer
- Fondation FondaMental, Créteil, France
- INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, Université Paris Est Créteil, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMUIMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - B Etain
- Fondation FondaMental, Créteil, France
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Université Paris Cité, Paris, France
- Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Paris, France
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Zhang Y, Tao S, Coid J, Wei W, Wang Q, Yue W, Yan H, Tan L, Chen Q, Yang G, Lu T, Wang L, Zhang F, Yang J, Li K, Lv L, Tan Q, Zhang H, Ma X, Yang F, Li L, Wang C, Zhao L, Deng W, Guo W, Ma X, Zhang D, Li T. The Role of Total White Blood Cell Count in Antipsychotic Treatment for Patients with Schizophrenia. Curr Neuropharmacol 2024; 22:159-167. [PMID: 36600620 PMCID: PMC10716888 DOI: 10.2174/1570159x21666230104090046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 10/15/2022] [Accepted: 11/11/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Total white blood cell count (TWBCc), an index of chronic and low-grade inflammation, is associated with clinical symptoms and metabolic alterations in patients with schizophrenia. The effect of antipsychotics on TWBCc, predictive values of TWBCc for drug response, and role of metabolic alterations require further study. METHODS Patients with schizophrenia were randomized to monotherapy with risperidone, olanzapine, quetiapine, aripiprazole, ziprasidone, perphenazine or haloperidol in a 6-week pharmacological trial. We repeatedly measured clinical symptoms, TWBCc, and metabolic measures (body mass index, blood pressure, waist circumference, fasting blood lipids and glucose). We used mixed-effect linear regression models to test whether TWBCc can predict drug response. Mediation analysis to investigate metabolic alteration effects on drug response. RESULTS At baseline, TWBCc was higher among patients previously medicated. After treatment with risperidone, olanzapine, quetiapine, perphenazine, and haloperidol, TWBCc decreased significantly (p < 0.05). Lower baseline TWBCc predicted greater reductions in Positive and Negative Syndrome Scale (PANSS) total and negative scores over time (p < 0.05). We found significant mediation of TWBCc for effects of waist circumference, fasting low-density lipoprotein cholesterol, and glucose on reductions in PANSS total scores and PANSS negative subscale scores (p < 0.05). CONCLUSION TWBCc is affected by certain antipsychotics among patients with schizophrenia, with decreases observed following short-term, but increases following long-term treatment. TWBCc is predictive of drug response, with lower TWBCc predicting better responses to antipsychotics. It also mediates the effects of certain metabolic measures on improvement of negative symptoms. This indicates that the metabolic state may affect clinical manifestations through inflammation.
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Affiliation(s)
- Yamin Zhang
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
| | - Shiwan Tao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jeremy Coid
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Wei
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Weihua Yue
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Hao Yan
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Liwen Tan
- Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qi Chen
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Guigang Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Tianlan Lu
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Lifang Wang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Fuquan Zhang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangshu, China
| | - Jianli Yang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, China
- Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, China
| | - Keqing Li
- Hebei Mental Health Center, Baoding, Hebei, China
| | - Luxian Lv
- Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, China
| | - Hongyan Zhang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Xin Ma
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Lingjiang Li
- Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
| | - Wanjun Guo
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Dai Zhang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Tao Li
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
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Shi L, Ju P, Meng X, Wang Z, Yao L, Zheng M, Cheng X, Li J, Yu T, Xia Q, Yan J, Zhu C, Zhang X. Intricate role of intestinal microbe and metabolite in schizophrenia. BMC Psychiatry 2023; 23:856. [PMID: 37978477 PMCID: PMC10657011 DOI: 10.1186/s12888-023-05329-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND The brain-gut axis has gained increasing attention due to its contribution to the etiology of various central nervous system disorders. This study aims to elucidate the hypothesis that schizophrenia is associated with disturbances in intestinal microflora and imbalance in intestinal metabolites. By exploring the intricate relationship between the gut and the brain, with the goal of offering fresh perspectives and valuable insights into the potential contribution of intestinal microbial and metabolites dysbiosis to the etiology of schizophrenia. METHODS In this study, we used a 16S ribosomal RNA (16S rRNA) gene sequence-based approach and an untargeted liquid chromatography-mass spectrometry-based metabolic profiling approach to measure the gut microbiome and microbial metabolites from 44 healthy controls, 41 acute patients, and 39 remission patients, to evaluate whether microbial dysbiosis and microbial metabolite biomarkers were linked with the severity of schizophrenic symptoms. RESULTS Here, we identified 20 dominant disturbances in the gut microbial composition of patients compared with healthy controls, with 3 orders, 4 families, 9 genera, and 4 species. Several unique bacterial taxa associated with schizophrenia severity. Compared with healthy controls, 145 unusual microflora metabolites were detected in the acute and remission groups, which were mainly involved in environmental information processing, metabolism, organismal systems, and human diseases in the Kyoto encyclopedia of genes and genomes pathway. The Sankey diagram showed that 4 abnormal intestinal and 4 anomalous intestinal microbial metabolites were associated with psychiatric clinical symptoms. CONCLUSIONS These findings suggest a possible interactive influence of the gut microbiota and their metabolites on the pathophysiology of schizophrenia.
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Affiliation(s)
- Li Shi
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Peijun Ju
- Shanghai Mental Health Center, Shanghai key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, 201108, China
| | - Xiaojing Meng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | | | - Lihui Yao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Mingming Zheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Xialong Cheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Jingwei Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Tao Yu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Qingrong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Junwei Yan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Cuizhen Zhu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China.
- Anhui Mental Health Center, Hefei, 230000, China.
| | - Xulai Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China.
- Anhui Mental Health Center, Hefei, 230000, China.
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Lestra V, Romeo B, Martelli C, Benyamina A, Hamdani N. Could CRP be a differential biomarker of illness stages in schizophrenia? A systematic review and meta-analysis. Schizophr Res 2022; 246:175-186. [PMID: 35785580 DOI: 10.1016/j.schres.2022.06.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 05/13/2022] [Accepted: 06/22/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Patients with schizophrenia display peripheral inflammation but the impact of illness phase is not clear. Our meta-analysis investigated the difference in CRP levels between patients with schizophrenia and controls according to their illness phase. METHODS After a systematic search, all studies measuring CRP in patients with schizophrenia and controls were included. Standardized mean differences were calculated between patients and controls according to illness phase. The influence of sociodemographic and clinical variables on our results was investigated using a meta-regression analysis. RESULTS Fifty studies were included in this meta-analysis. Patients with schizophrenia had higher CRP levels than controls in the acute (p < 0.00001) and stable (p < 0.00001) stage of their disease. Patients with acute exacerbation of schizophrenia had higher CRP levels than stable patients (p = 0.02) but this difference did not persist when considering antipsychotic-medicated patients in both phases. Meta-regressions found that the increase of CRP in acutely ill patients as compared to controls was influenced by age (p < 0.01), BMI (p = 0.01) and first episode (p = 0.02), whereas the increase in CRP levels of stable patients as compared to controls was moderated by BMI (p = 0.004). CONCLUSIONS In conclusion, this meta-analysis provides strong evidence that patients with schizophrenia have higher CRP levels than controls, but also show an increase in inflammatory response in the acute stage of the disease as compared to the stable stage. CRP could thus be considered as a state marker and a trait marker of the disease.
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Affiliation(s)
- V Lestra
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800 Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions, PSYCOMADD 4872, Université Paris-Sud - AP-HP, Université Paris Saclay, France
| | - B Romeo
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800 Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions, PSYCOMADD 4872, Université Paris-Sud - AP-HP, Université Paris Saclay, France.
| | - C Martelli
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800 Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions, PSYCOMADD 4872, Université Paris-Sud - AP-HP, Université Paris Saclay, France; Institut National de la Santé et de la Recherche Médicale U1299, Research unit, NeuroImaging and Psychiatry, Paris Sud University, Paris Saclay University, Paris Descartes University, Digiteo Labs, Bâtiment 660, Gif-sur-Yvette, France
| | - A Benyamina
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800 Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions, PSYCOMADD 4872, Université Paris-Sud - AP-HP, Université Paris Saclay, France
| | - N Hamdani
- Unité Psychiatrie-Comorbidités-Addictions, PSYCOMADD 4872, Université Paris-Sud - AP-HP, Université Paris Saclay, France; Cédiapsy, 87 rue d'Assas, 75006 Paris, France
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7
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Alonso Y, Miralles C, Algora MJ, Valiente-Pallejà A, Sánchez-Gistau V, Muntané G, Labad J, Vilella E, Martorell L. Risk factors for metabolic syndrome in individuals with recent-onset psychosis at disease onset and after 1-year follow-up. Sci Rep 2022; 12:11386. [PMID: 35794221 PMCID: PMC9259625 DOI: 10.1038/s41598-022-15479-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/24/2022] [Indexed: 11/19/2022] Open
Abstract
Metabolic syndrome (MetS) is a cluster of parameters encompassing the most dangerous heart attack risk factors, associated with increased morbidity and mortality. It is highly prevalent in recent-onset psychosis (ROP) patients. In this pilot study, we evaluated MetS parameters (fasting glucose, high-density lipoprotein (HDL) cholesterol (HDL-c), fasting triglycerides, waist circumference, and systolic and diastolic blood pressure), clinical symptoms, pharmacological treatment, lifestyle, and inflammatory markers in 69 patients with ROP and 61 healthy controls (HCs). At baseline, waist circumference (p = 0.005) and fasting triglycerides (p = 0.007) were higher in patients with ROP than in HCs. At the 1-year follow-up, patients showed clinical improvement, with a reduction in the positive and negative syndrome scale (PANSS) score (p < 0.001), dietary intake (p = 0.001), and antipsychotic medication dose (p < 0.001); however, fasting glucose (p = 0.011), HDL-c (p = 0.013) and waist circumference worsened (p < 0.001). We identified sex, age, BMI, dietary intake, physical activity, daily tobacco use, daily cannabis use, and antipsychotic doses as risk factors contributing to baseline MetS parameters. After 1-year follow-up, those factors plus the PANSS and Calgary Depression Scale for Schizophrenia (CDSS) scores were associated with MetS parameters. Further studies are needed to understand the contributions of the studied risk factors in patients with ROP at onset and during disease progression.
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8
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Foiselle M, Barbosa S, Godin O, Wu CL, Boukouaci W, Andre M, Aouizerate B, Berna F, Barau C, Capdevielle D, Vidailhet P, Chereau I, Davidovic L, Dorey JM, Dubertret C, Dubreucq J, Faget C, Fond G, Leigner S, Llorca PM, Mallet J, Misdrahi D, Martinuzzi E, Passerieux C, Rey R, Pignon B, Urbach M, Schürhoff F, Glaichenhaus N, Leboyer M, Tamouza R. Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort. Brain Behav Immun Health 2022; 22:100436. [PMID: 35469211 PMCID: PMC9034311 DOI: 10.1016/j.bbih.2022.100436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.
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Affiliation(s)
- Marianne Foiselle
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Susana Barbosa
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Ophélia Godin
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Ching-Lien Wu
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Wahid Boukouaci
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Myrtille Andre
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, France
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, F-33076, France
- INRAE, NutriNeuro, University of Bordeaux, U1286, Bordeaux, F-33076, France
| | - Fabrice Berna
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Caroline Barau
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Delphine Capdevielle
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Pierre Vidailhet
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Isabelle Chereau
- Fondation FondaMental, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Laetitia Davidovic
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Jean-Michel Dorey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Caroline Dubertret
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - Julien Dubreucq
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Catherine Faget
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Guillaume Fond
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Sylvain Leigner
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, France
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Jasmina Mallet
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - David Misdrahi
- Fondation FondaMental, France
- Department of Adult Psychiatry, Charles Perrens Hospital, Bordeaux, France
- University of Bordeaux, CNRS UMR 5287-INCIA « Neuroimagerie et cognition humaine », France
| | - Emanuela Martinuzzi
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Christine Passerieux
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Romain Rey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Baptiste Pignon
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Mathieu Urbach
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Franck Schürhoff
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Nicolas Glaichenhaus
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - Ryad Tamouza
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - the FACE-SZ (FondaMental Academic Centers of Expertise for Schizophrenia) GroupsBernaF.sHaffenE.sLeboyerM.sLlorcaP.M.sSchürhoffF.sBarteauV.tBensalemS.tGodinO.tLaouamriH.tSouryisK.tLeboyerM.uvOfferlin-MeyerI.uvPignonB.uvSchürhoffF.uvSzökeA.uvAouizerateB.wxDelogeA.wyMisdrahiD.wyVilàE.wyBlancO.zChéreauI.zDenizotH.zHonciucR.M.zLacelleD.zLlorcaP.M.zPiresS.zDubertretC.aaMalletJ.aaPortalierC.aaDubreucqJ.abFluttazC.abGabayetF.abRomanC.abChesnoy-ServaninG.acD'AmatoT.acDoreyJ.M.acReyR.acVehierA.acLançonC.adFagetC.adMetairieE.adPeriP.adVaillantF.adBoyerL.aeafFondG.aeafBernaF.agVidailhetP.agZinetti-BertschyA.agCapdevielleD.ahYazbekH.ahEsselinS.aiajakJarroirM.aiajakPasserieuxC.aiajakUrbachM.aiajakFACE-SZ Clinical Coordinating Center (Fondation FondaMental), FranceFACE-SZ Data Coordinating Center (Fondation FondaMental), FranceFACE-SZ Clinical Sites and Principal Collaborators in France, FranceAP-HP, INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d’Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94000, Créteil, FranceDepartment of Adult Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, FranceLaboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, FranceUniversity of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, FranceCHU Clermont-Ferrand, Department of Psychiatry (service de psychatrie B), University of Clermont Auvergne, Clermont-Ferrand, FranceAP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm UMR1266, Institute of Psychiatry and Neurosciences of Paris, University Paris Descartes, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, FrancePsychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, FranceUniversity Claude Bernard Lyon 1, Le Vinatier Hospital Pole Est BP 300 39, 95 bd Pinel, 69678, Bron Cedex, FranceDepartment of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, FranceAP-HM, la Conception Hospital, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279, FranceCEReSS - Health Service Research, FranceStrasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, FranceUniversity Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, FranceDepartment of Adult Psychiatry, Versailles Hospital, Le Chesnay, FranceHandiRESP and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, FranceFrance Laboratory, EA4047, UFR Health Sciences Simone Veil, Université de Versailles Saint-Quentin-En-Yvelines, Montigny-le-Bretonneux, France
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9
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Dash S, Syed YA, Khan MR. Understanding the Role of the Gut Microbiome in Brain Development and Its Association With Neurodevelopmental Psychiatric Disorders. Front Cell Dev Biol 2022; 10:880544. [PMID: 35493075 PMCID: PMC9048050 DOI: 10.3389/fcell.2022.880544] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
The gut microbiome has a tremendous influence on human physiology, including the nervous system. During fetal development, the initial colonization of the microbiome coincides with the development of the nervous system in a timely, coordinated manner. Emerging studies suggest an active involvement of the microbiome and its metabolic by-products in regulating early brain development. However, any disruption during this early developmental process can negatively impact brain functionality, leading to a range of neurodevelopment and neuropsychiatric disorders (NPD). In this review, we summarize recent evidence as to how the gut microbiome can influence the process of early human brain development and its association with major neurodevelopmental psychiatric disorders such as autism spectrum disorders, attention-deficit hyperactivity disorder, and schizophrenia. Further, we discuss how gut microbiome alterations can also play a role in inducing drug resistance in the affected individuals. We propose a model that establishes a direct link of microbiome dysbiosis with the exacerbated inflammatory state, leading to functional brain deficits associated with NPD. Based on the existing research, we discuss a framework whereby early diet intervention can boost mental wellness in the affected subjects and call for further research for a better understanding of mechanisms that govern the gut-brain axis may lead to novel approaches to the study of the pathophysiology and treatment of neuropsychiatric disorders.
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Affiliation(s)
- Somarani Dash
- Life Sciences Division, Institute of Advanced Study in Science and Technology (IASST), Guwahati, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Yasir Ahmed Syed
- School of Biosciences and Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cardiff, United Kingdom
| | - Mojibur R. Khan
- Life Sciences Division, Institute of Advanced Study in Science and Technology (IASST), Guwahati, India
- *Correspondence: Mojibur R. Khan,
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10
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Yan J, Chen Y, Ju P, Gao J, Zhang L, Li J, Wang K, Zhang J, Li C, Xia Q, Zhu C, Zhang X. Network Association of Biochemical and Inflammatory Abnormalities With Psychiatric Symptoms in First-Episode Schizophrenia Patients. Front Psychiatry 2022; 13:834539. [PMID: 35273531 PMCID: PMC8901486 DOI: 10.3389/fpsyt.2022.834539] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 01/25/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) risk factors such as dyslipidemia and systemic aberrant inflammatory processes may occur in patients with psychotic disorders, which may cause increased mortality. The interplay between immune and metabolic markers and its contribution to the clinical symptoms of schizophrenia (SCZ) remain unclear. This study aimed to examine the association of a series of inflammatory factors, plasma biochemical indicators, and SCZ clinical symptomatology with the severity of SCZ symptoms. METHODS A total of 115 participants, including 79 first-episode drug-naïve patients with SCZ and 36 healthy controls, were enrolled in this study. Semi-structured interviews were used to collect sociodemographic data, family history of SCZ, and medical and psychiatric history. The Brief Psychiatric Rating Scale (BPRS) and the Positive and Negative Syndrome Scale (PANSS) were administered by a clinical psychiatrist to evaluate the symptom severity of patients with SCZ. Plasma inflammatory cytokines were measured by a fully automated electrochemiluminescent immunoassay (Meso Scale Discovery). RESULTS Blood routine, biochemical, and inflammation cytokine test results showed that the levels of white blood cell count, neutrophil count, natrium, CRP, IL-8, IL-6, IL-13, and IL-16 significantly increased in the case group than in the healthy controls (p < 0.05), whereas levels of red blood cell count, hemoglobin concentration, mean corpuscular hemoglobin concentration, total protein, albumin, total bile acid, high-density lipoprotein (HDL), apolipoprotein A1, blood urea nitrogen, kalium and IL-15 were lower than in the healthy controls (p < 0.05). Correlation network analysis results shown that the natrium, HDL and red blood cell count were the top 3 factors closely to with BPRS and PANSS related clinical symptoms among of correlation network (degree = 4). ROC curve analysis explored the IL-16, IL-8, IL-13, IL-15, natrium, and HDL had highly sensitivity and specificity to the predictive validity and effectiveness for SCZ symptoms. CONCLUSION Our study revealed a complex interactive network correlation among the cardiovascular risk factors, biological immunity profiles, and psychotic symptoms in first-episode patients. Abnormal inflammatory factors and CVD risk factors had high sensitivity and specificity for predicting SCZ symptoms. Generally, our study provided novel information on the immune-related mechanisms involved in early CVD risk in patients with psychotic disorders.
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Affiliation(s)
- Junwei Yan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Yuanyuan Chen
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Peijun Ju
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Jianliang Gao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Loufeng Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Jingwei Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Keming Wang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Jie Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Chao Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Qingrong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Cuizhen Zhu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
| | - Xulai Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Department of Medical Education and Research, Hefei Fourth People's Hospital, Hefei, China.,Department of Medical Education and Research, Anhui Mental Health Center, Hefei, China.,Department of Medical Education and Research, Anhui Clinical Center for Mental and Psychological Diseases, Hefei, China
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11
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Liu Z, Zhang Y, Wang J, Xia L, Yang Y, Sun L, Zhang D, Li W, Yao X, Yang R, Liu Y, Liu H. Association of higher plasma leptin levels with HOMA-IR index, high sensitivity C-reactive protein and glycolipid metabolism in patients with chronic schizophrenia: A multi-center cross-sectional study. Front Psychiatry 2022; 13:992988. [PMID: 36090349 PMCID: PMC9453303 DOI: 10.3389/fpsyt.2022.992988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/09/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Previous research has revealed that plasma leptin levels were closely related to glycolipid metabolism in schizophrenic patients. Insulin resistance (IR) and high sensitivity C-reactive protein (hs-CRP) were involved in glucolipid metabolism disorders. This study explored the correlation between plasma higher leptin levels, homeostasis model assessment of insulin resistance (HOMA-IR) index, hs-CRP and glycolipid metabolism in patients with chronic schizophrenia (CS). METHODS 322 subjects were enrolled, and the psychopathological symptoms of each patient were assessed by a 30-item Positive and Negative Syndrome Scale (PANSS-30). Patients' plasma leptin levels were measured by enzyme-linked immunosorbent assay (ELISA). Fasting blood glucose (FBG) levels were determined by oxidase method. Insulin levels were tested by electrochemiluminescence, and hs-CRP levels were tested by immunoturbidimetry. IBM SPSS 22.0 was used for data analysis. RESULTS Compared to the lower leptin group, patients in the higher leptin group had significantly higher body mass index (BMI), total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), insulin, HOMA-IR and hs-CRP levels; and lower negative factor scores, cognitive factor scores, and PANSS total scores (P < 0.05). Plasma leptin levels in CS patients were positively correlated with BMI, TC, TG, LDL-C, insulin, HOMA-IR and hs-CRP levels, and were negatively correlated with gender (male = 1, Female = 2), positive factor scores, negative factor scores, cognitive factor scores and PANSS total scores. Multiple linear regression analysis revealed that gender, BMI, positive factor scores, PANSS total scores, FBG, LDL-C, insulin, HOMA-IR and hs-CRP levels were independent influencing factors of leptin levels in CS patients (P < 0.05). CONCLUSION Gender, BMI, positive factor scores, PANSS total scores, FBG, LDL-C, insulin, HOMA-IR and hs-CRP levels were independent influencing factors of plasma leptin levels in CS patients. Plasma leptin, HOMA-IR and hs-CRP levels should be measured regularly in CS patients to prevent or treat the disorders of glucose and lipid metabolism comorbidity with schizophrenia patients in clinical diagnosis and treatment.
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Affiliation(s)
- Zhiwei Liu
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Yulong Zhang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Chaohu, China.,Anhui Psychiatric Center, Anhui Medical University, Chaohu, China
| | - Juan Wang
- Department of Psychiatry, Chengdu Fourth People's Hospital, Chengdu, China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Chaohu, China.,Anhui Psychiatric Center, Anhui Medical University, Chaohu, China
| | - Yating Yang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Chaohu, China.,Anhui Psychiatric Center, Anhui Medical University, Chaohu, China
| | - Liang Sun
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Dapeng Zhang
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Wenzheng Li
- Department of Psychiatry, Hefei Fourth People's Hospital, Hefei, China
| | - Xianhu Yao
- Department of Psychiatry, Maanshan Fourth People's Hospital, Maanshan, China
| | - Rongchun Yang
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Yun Liu
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Chaohu, China.,Anhui Psychiatric Center, Anhui Medical University, Chaohu, China
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12
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Miller BJ, McCall WV, McEvoy JP, Lu XY. Insomnia and inflammation in phase 1 of the clinical antipsychotic trials of intervention effectiveness study. Psychiatry Res 2021; 305:114195. [PMID: 34481199 DOI: 10.1016/j.psychres.2021.114195] [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: 04/16/2021] [Revised: 07/23/2021] [Accepted: 08/28/2021] [Indexed: 11/24/2022]
Abstract
Insomnia and inflammation are both common in schizophrenia. In the general population, insomnia is associated with inflammation. In n=519 subjects from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial, terminal insomnia was investigated as an indicator of inflammation using non-parametric ANCOVA. After controlling for potential confounders, insomnia was significantly associated with higher blood IL-6 (F=4.12, p=0.007) and leptin (F=9.67, p<0.001) with large effect sizes (d=1.03 and d=0.79, respectively). Findings suggest that the assessment of insomnia is relevant to studies of inflammation in schizophrenia, and germane to trials of adjunctive hypnotics and anti-inflammatory agents in these patients.
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Affiliation(s)
- Brian J Miller
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA, United States.
| | - William V McCall
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA, United States
| | - Joseph P McEvoy
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA, United States
| | - Xin-Yun Lu
- Department of Neuroscience and Regenerative Medicine, Augusta University, Augusta, GA, United States
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13
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Miller BJ, Herzig KH, Jokelainen J, Karhu T, Keinänen-Kiukaanniemi S, Järvelin MR, Veijola J, Viinamäki H, Päivikki Tanskanen, Jääskeläinen E, Isohanni M, Timonen M. Inflammation, hippocampal volume, and cognition in schizophrenia: results from the Northern Finland Birth Cohort 1966. Eur Arch Psychiatry Clin Neurosci 2021; 271:609-622. [PMID: 32382794 DOI: 10.1007/s00406-020-01134-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 04/27/2020] [Indexed: 02/08/2023]
Abstract
Increased blood interleukin-6 (IL-6) levels are a replicated abnormality in schizophrenia, and may be associated with smaller hippocampal volumes and greater cognitive impairment. These findings have not been investigated in a population-based birth cohort. The general population Northern Finland Birth Cohort 1966 was followed until age 43. Subjects with schizophrenia were identified through the national Finnish Care Register. Blood IL-6 levels were measured in n = 82 subjects with schizophrenia and n = 5373 controls at age 31. Additionally, 31 patients with schizophrenia and 63 healthy controls underwent brain structural MRI at age 34, and cognitive testing at ages 34 and 43. Patients with schizophrenia had significantly higher median (interquartile range) blood IL-6 levels than controls (5.31, 0.85-17.20, versus 2.42, 0.54-9.36, p = 0.02) after controlling for potential confounding factors. In both schizophrenia and controls, higher blood IL-6 levels were predictors of smaller hippocampal volumes, but not cognitive performance at age 34. We found evidence for increased IL-6 levels in patients with midlife schizophrenia from a population-based birth cohort, and replicated associations between IL-6 levels and hippocampal volumes. Our results complement and extend the previous findings, providing additional evidence that IL-6 may play a role in the pathophysiology of schizophrenia and associated brain alterations.
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Affiliation(s)
- Brian J Miller
- Department of Psychiatry and Health Behavior, Augusta University, 997 Saint Sebastian Way, Augusta, GA, 30912, USA.
| | - Karl-Heinz Herzig
- Research Unit of Biomedicine, University of Oulu, Oulu, Finland.,Medical Research Center (MRC) and Oulu University Hospital, Oulu, Finland.,Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
| | - Jari Jokelainen
- Medical Research Center (MRC) and Oulu University Hospital, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Toni Karhu
- Research Unit of Biomedicine, University of Oulu, Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Medical Research Center (MRC) and Oulu University Hospital, Oulu, Finland.,Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Marjo-Riitta Järvelin
- Medical Research Center (MRC) and Oulu University Hospital, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Juha Veijola
- Medical Research Center (MRC) and Oulu University Hospital, Oulu, Finland.,Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Heimo Viinamäki
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Psychiatry, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Erika Jääskeläinen
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Matti Isohanni
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
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14
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Boiko AS, Mednova IA, Kornetova EG, Gerasimova VI, Kornetov AN, Loonen AJM, Bokhan NA, Ivanova SA. Cytokine Level Changes in Schizophrenia Patients with and without Metabolic Syndrome Treated with Atypical Antipsychotics. Pharmaceuticals (Basel) 2021; 14:ph14050446. [PMID: 34065135 PMCID: PMC8150759 DOI: 10.3390/ph14050446] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 02/06/2023] Open
Abstract
The present study aims at comparing the change in cytokine levels in schizophrenia patients treated with atypical antipsychotics, with or without metabolic syndrome (MetS). The study included 101 patients with schizophrenia, 38 with and 63 without MetS, who received risperidone, quetiapine, olanzapine or aripiprazole for six weeks. We analyzed the concentration of 21 cytokines in the serum patients. The treatment with atypical antipsychotics changed some proinflammatory cytokine levels. It led to increased IFN-α2 (p = 0.010), IL-1α (p = 0.024) and IL-7 (p = 0.017) levels in patients with MetS, whereas the same treatment led to decreased levels of IFN-γ (p = 0.011), IL-1β (p = 0.035), IL-12р40 (p = 0.011), IL-17A (p = 0.031), IL-6 (p = 0.043) and TNF-α (p = 0.012) in individuals without MetS. Our results demonstrated the effects of atypical antipsychotics on the immune–inflammatory parameters, depending on the metabolic disturbances in schizophrenia patients.
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Affiliation(s)
- Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
| | - Irina A. Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
- University Hospital, Siberian State Medical University, Moskovsky Trakt, 2, 634050 Tomsk, Russia
- Correspondence:
| | - Valeria I. Gerasimova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
| | - Alexander N. Kornetov
- Fundamental Psychology and Behavioral Medicine Department, Siberian State Medical University, Moskovsky Trakt, 2, 634050 Tomsk, Russia;
| | - Anton J. M. Loonen
- PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713AV Groningen, The Netherlands;
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
- Psychiatry, Addictology and Psychotherapy Department, Siberian State Medical University, Moskovsky Trakt, 2, 634050 Tomsk, Russia
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str., 4, 634014 Tomsk, Russia; (A.S.B.); (I.A.M.); (V.I.G.); (N.A.B.); (S.A.I.)
- Psychiatry, Addictology and Psychotherapy Department, Siberian State Medical University, Moskovsky Trakt, 2, 634050 Tomsk, Russia
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15
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Feng T, McEvoy JP, Miller BJ. Longitudinal study of inflammatory markers and psychopathology in schizophrenia. Schizophr Res 2020; 224:58-66. [PMID: 33289658 DOI: 10.1016/j.schres.2020.10.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 09/17/2020] [Accepted: 10/06/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Schizophrenia is associated with abnormal levels of blood inflammatory markers, which may be correlated with levels of psychopathology. Few previous studies have explored whether baseline inflammatory marker levels predict longitudinal changes in psychopathology. In the present study, we explored this association in a cohort of patients with schizophrenia. METHOD We investigated inflammatory markers and psychopathology after 3, 6, and 12 months of antipsychotic treatment for subjects with baseline and follow-up data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial. Linear regression models, controlling for multiple potential confounding factors, were used to investigate these associations. RESULTS There was a significant decrease in monocyte, ICAM, and adiponectin levels between baseline and 12 months. Higher baseline blood interleukin-6 (IL-6) predicted greater reduction in PANSS total and general subscale scores at 3 and 6 months, and PANSS negative subscale scores at 3 months (β = -0.10 to -0.16, p < 0.05 for each). Higher baseline blood leptin levels predicted greater reduction in PANSS total, negative and general subscale scores at 6 months (β = -0.09 to -0.11, p < 0.05 for each). In post-hoc analyses, associations between baseline IL-6 levels and symptom reduction were strongest in patients treated with either ziprasidone or quetiapine. Changes in blood inflammatory markers were generally not associated with changes in psychopathology. CONCLUSIONS Our findings provide additional support that measuring blood inflammatory markers may be relevant to the clinical care of patients with schizophrenia. Specifically, these markers may help guide selection of antipsychotic treatment towards more personalized medicine approaches for patients with schizophrenia.
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Affiliation(s)
- Tami Feng
- Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Joseph P McEvoy
- Department of Psychiatry, Augusta University, Augusta, GA, United States
| | - Brian J Miller
- Department of Psychiatry, Augusta University, Augusta, GA, United States.
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