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Karachaliou M, Espinosa A, Farré X, Blay N, Castaño-Vinyals G, Iraola-Guzmán S, Rubio R, Vidal M, Jiménez A, Bañuls M, Aguilar R, Garcia-Aymerich J, Dobaño C, Kogevinas M, Moncunill G, de Cid R. Mental illness and antibody responses after COVID-19 vaccination in a prospective population-based study in Catalonia. Vaccine 2024; 45:126591. [PMID: 39671776 DOI: 10.1016/j.vaccine.2024.126591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 10/22/2024] [Accepted: 12/03/2024] [Indexed: 12/15/2024]
Abstract
Background Mental illnesses have been overlooked as a potential factor influencing antibody responses to COVID-19 vaccine. Associations between mental disorders and antibody response might vary by specific disorders, depend on the long-term course of the illness and relate to psychotropic treatment. METHODS The association between mental illness diagnoses (mood affective disorders, anxiety disorders, other) over ten years and psychotropic drug prescription based on electronic health records with antibody levels (IgG and IgA) post COVID-19 vaccination was assessed in 939 vaccinated adults from Catalonia, Spain. We employed linear regression models to assess associations between specific mental illnesses and psychotropic drugs with antibody levels, correcting for demographics, comorbidities and lifestyle factors. In a genotyped subset (n = 247) we assessed the effect of polygenic risk scores (PRS) for mental illnesses and performed a two-sample mendelian randomization (MR) analysis to examine causality between mental illness and antibody responses. RESULTS Mood affective disorders were associated with lower IgG to receptor binding domain (RBD) [percentage change = -26.37 (95 % CI, -42.00, -6.54)]. Diagnosis of anxiety disorders was not associated with the outcome. The group of other diagnoses (mainly including insomnia and nicotine dependence) were associated with lower IgG RBD levels [percentage change: -21.53 (95 % CI, -35.38, -4.71)] and recent onset cases (≤5 years ago) showed greater decline in antibody levels. Participants on second-generation antipsychotics and multiple classes of psychotropic drugs in the last 6 months exhibited lower antibody levels. In the genotyped population, higher genetic liability (higher PRS) to schizophrenia was associated with lower IgG RBD levels [percentage change = -35.49 (95 % CI, -56.55, -4.23)]. MR analysis revealed a causal relationship between major depression genetic instrumental variables and lower IgG RBD and S levels. CONCLUSIONS These findings raise concerns about the efficacy of COVID-19 vaccines and potentially of other vaccines as well, in individuals with mood affective disorders, current/recent insomnia and nicotine dependence and people on multiple psychotropic drugs. Whether these associations are translated into increased risk for breakthrough infections and immune mediated long-term sequels of the SARS-CoV-2 infection warrants further investigation.
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Affiliation(s)
| | - Ana Espinosa
- ISGlobal, Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Xavier Farré
- Genomes for Life-GCAT lab. Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Natalia Blay
- Genomes for Life-GCAT lab. Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Gemma Castaño-Vinyals
- ISGlobal, Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Susana Iraola-Guzmán
- Genomes for Life-GCAT lab. Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | | | | | | | | | - Ruth Aguilar
- ISGlobal, Barcelona, Spain; CIBER Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Carlota Dobaño
- ISGlobal, Barcelona, Spain; CIBER Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Gemma Moncunill
- ISGlobal, Barcelona, Spain; CIBER Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Rafael de Cid
- Genomes for Life-GCAT lab. Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
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Qiu J, Yu C, Kuang Y, Hu Y, Zhu T, Qin K, Zhang W. Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study. Front Psychiatry 2024; 15:1481006. [PMID: 39717378 PMCID: PMC11663843 DOI: 10.3389/fpsyt.2024.1481006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 11/15/2024] [Indexed: 12/25/2024] Open
Abstract
Background Psychiatric illness is thought to be a brain somatic crosstalk disorder. However, the existing phenomenology-based Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic framework overlooks various dimensions other than symptoms. In this study, we investigated the associations between peripheral blood test indexes with various symptom levels of major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) to explore the availability of peripheral blood test indexes. Methods We extracted cases diagnosed with MDD, BD, and SCZ at West China Hospital from 2009 to 2021, translated their main complaints into Research Domain Criteria (RDoC) symptom severity scores using nature language processing (NLP), and collected their detailed psychiatric symptoms and peripheral blood test results. Then, generalized linear models were performed between seven types of peripheral blood test values with their transformed RDoC scores and detailed symptom information adjusted for age, gender, smoking, and alcohol history. Results Several inflammatory-related indexes were strongly associated with the negative valence system (NVS) domain (basophil percentage adjusted β = 0.275, lymphocyte percentage adjusted β = 0.271, monocyte percentage adjusted β = 0.223, neutrophil percentage adjusted β = -0.310, neutrophil count adjusted β = -0.301, glucose adjusted β = -0.287, leukocyte count adjusted β = -0.244, NLR adjusted β = -0.229, and total protein adjusted β = -0.170), the positive valence system (PVS) domain (monocyte percentage adjusted β = 0.228, basophil count adjusted β = 0.176, and glutamyl transpeptidase adjusted β = 0.171), and a wide range of mood, reward, and psychomotor symptoms. In addition, glucose, urea, urate, cystatin C, and albumin showed considerable associations with multiple symptoms. In addition, based on the direction of associations and the similarity of symptoms in terms of RDoC thinking, it is suggested that "positive" mood symptoms like mania and irritability and "negative" mood symptoms like depression and anxiety might be on a continuum considering their opposite relationships with similar blood indexes. Limitations The cross-sectional design, limited symptoms record, and high proportion of missing values in some other peripheral blood indexes limited our findings. Conclusion The proportion of high inflammatory indexes in SCZ was relatively high, but in terms of mean values, SCZ, BD, and MDD did not differ significantly. Inflammatory response showed a strong correlation with NVS, PVS, and a range of psychiatric symptoms especially mood symptoms, psychomotor symptoms, and cognitive abilities.
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Affiliation(s)
- Jianqing Qiu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Cheng Yu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yalan Kuang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yao Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Zhu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Medical Big Data Center, Sichuan University, Chengdu, China
| | - Ke Qin
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Medical Big Data Center, Sichuan University, Chengdu, China
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
- Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
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3
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Shen J, Jiang C. Unraveling the heart-brain axis: shared genetic mechanisms in cardiovascular diseases and Schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:113. [PMID: 39609470 PMCID: PMC11605010 DOI: 10.1038/s41537-024-00533-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Accepted: 11/15/2024] [Indexed: 11/30/2024]
Abstract
The comorbidity between cardiovascular diseases (CVD) and schizophrenia (SCZ) has attracted widespread attention from researchers, with shared genetic causes potentially providing important insights into their association. This study conducted a comprehensive analysis of genetic data from 17 types of CVD and SCZ using genome-wide multi-trait association studies (GWAS), employing statistical methods such as LDSC, MTAG, LAVA, and bidirectional Mendelian randomization to explore global and local genetic correlations and identify pleiotropic single nucleotide variants (SNVs). The analysis revealed a significant genetic correlation between CVD and SCZ, identifying 842 potential pleiotropic single nucleotide variants (SNVs) and multiple associated biological pathways. Notably, genes such as TRIM27, CENPM, and MYH7B played critical roles in the shared genetic variations of both types of diseases. This study reveals the complex genetic relationship between CVD and SCZ, highlighting potential shared biological mechanisms involving immune responses, metabolic factors, and neurodevelopmental processes, thereby providing new directions for future interventions and treatments.
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Affiliation(s)
- Jing Shen
- The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Chuang Jiang
- The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
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Llorca-Bofí V, Petersen LV, Mortensen PB, Benros ME. White blood cell counts, ratios, and C-reactive protein among individuals with schizophrenia spectrum disorder and associations with long-term outcomes: a population-based study. Brain Behav Immun 2024; 122:18-26. [PMID: 39097201 DOI: 10.1016/j.bbi.2024.07.041] [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: 01/30/2024] [Revised: 07/07/2024] [Accepted: 07/28/2024] [Indexed: 08/05/2024] Open
Abstract
BACKGROUND Immune mechanisms are associated with adverse outcomes in schizophrenia; however, the predictive value of various peripheral immune biomarkers has not been collectively investigated in a large cohort before. OBJECTIVE To investigate how white blood cell (WBC) counts, ratios, and C-Reactive Protein (CRP) levels influence the long-term outcomes of individuals with schizophrenia spectrum disorder (SSD). METHODS We identified all adults in the Central Denmark Region during 1994-2013 with a measurement of WBC counts and/or CRP at first diagnosis of SSD. WBC ratios were calculated, and both WBC counts and ratios were quartile-categorized (Q4 upper quartile). We followed these individuals from first diagnosis until outcome of interest (death, treatment resistance and psychiatric readmissions), emigration or December 31, 2016, using Cox regression analysis to estimate adjusted hazard ratios (aHRs). RESULTS Among 6,845 participants, 375 (5.5 %) died, 477 (6.9 %) exhibited treatment resistance, and 1470 (21.5 %) were readmitted during follow-up. Elevated baseline levels of leukocytes, neutrophils, monocytes, LLR, NLR, MLR, and CRP increased the risk of death, whereas higher levels of lymphocytes, platelets, and PLR were associated with lower risk. ROC analysis identified CRP as the strongest predictor for mortality (AUC=0.84). Moreover, elevated levels of leukocytes, neutrophils, monocytes, LLR, NLR and MLR were associated with treatment resistance. Lastly, higher platelet counts decreased the risk of psychiatric readmissions, while elevated LLR increased this risk. CONCLUSIONS Elevated levels of WBC counts, ratios, and CRP at the initial diagnosis of SSD are associated with mortality, with CRP demonstrating the highest predictive value. Additionally, certain WBC counts and ratios are associated with treatment resistance and psychiatric readmissions.
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Affiliation(s)
- Vicent Llorca-Bofí
- Department of Medicine, University of Barcelona, Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain; Department of Psychiatry, Santa Maria University Hospital Lleida, Lleida, Spain; Copenhagen Research Center for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15, 4th floor, Hellerup DK-2900, Denmark
| | | | - Preben Bo Mortensen
- National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus 8210, Denmark
| | - Michael E Benros
- Copenhagen Research Center for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15, 4th floor, Hellerup DK-2900, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Sæther LS, Ueland T, Haatveit B, Vaskinn A, Bärthel Flaaten C, Mohn C, E.G. Ormerod MB, Aukrust P, Melle I, Steen NE, Andreassen OA, Ueland T. Longitudinal course of inflammatory-cognitive subgroups across first treatment severe mental illness and healthy controls. Psychol Med 2024; 54:1-11. [PMID: 39354711 PMCID: PMC11496234 DOI: 10.1017/s003329172400206x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/17/2024] [Accepted: 06/28/2024] [Indexed: 10/03/2024]
Abstract
BACKGROUND While inflammation is associated with cognitive impairment in severe mental illnesses (SMI), there is substantial heterogeneity and evidence of transdiagnostic subgroups across schizophrenia (SZ) and bipolar (BD) spectrum disorders. There is however, limited knowledge about the longitudinal course of this relationship. METHODS Systemic inflammation (C-Reactive Protein, CRP) and cognition (nine cognitive domains) was measured from baseline to 1 year follow-up in first treatment SZ and BD (n = 221), and healthy controls (HC, n = 220). Linear mixed models were used to evaluate longitudinal changes separately in CRP and cognitive domains specific to diagnostic status (SZ, BD, HC). Hierarchical clustering was applied on the entire sample to investigate the longitudinal course of transdiagnostic inflammatory-cognitive subgroups. RESULTS There were no case-control differences or change in CRP from baseline to follow-up. We confirm previous observations of case-control differences in cognition at both time-points and domain specific stability/improvement over time regardless of diagnostic status. We identified transdiagnostic inflammatory-cognitive subgroups at baseline with differing demographics and clinical severity. Despite improvement in cognition, symptoms and functioning, the higher inflammation - lower cognition subgroup (75% SZ; 48% BD; 38% HC) had sustained inflammation and lower cognition, more symptoms, and lower functioning (SMI only) at follow-up. This was in comparison to a lower inflammation - higher cognition subgroup (25% SZ, 52% BD, 62% HC), where SMI participants showed cognitive functioning at HC level with a positive clinical course. CONCLUSIONS Our findings support heterogenous and transdiagnostic inflammatory-cognitive subgroups that are stable over time, and may benefit from targeted interventions.
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Affiliation(s)
- Linn Sofie Sæther
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Faculty of Medicine, University of Oslo, Norway
- Thrombosis Research Center (TREC), Division of internal medicine, University hospital of North Norway, Tromsø Norway
| | - Beathe Haatveit
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anja Vaskinn
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Camilla Bärthel Flaaten
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Christine Mohn
- National Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Monica B. E.G. Ormerod
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo Norway
| | - Pål Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Faculty of Medicine, University of Oslo, Norway
- Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Ingrid Melle
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo Norway
| | - Nils Eiel Steen
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Ole A. Andreassen
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Section for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Norway
| | - Torill Ueland
- Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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Chen S, Tan Y, Tian L. Immunophenotypes in psychosis: is it a premature inflamm-aging disorder? Mol Psychiatry 2024; 29:2834-2848. [PMID: 38532012 PMCID: PMC11420084 DOI: 10.1038/s41380-024-02539-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/15/2024] [Accepted: 03/18/2024] [Indexed: 03/28/2024]
Abstract
Immunopsychiatric field has rapidly accumulated evidence demonstrating the involvement of both innate and adaptive immune components in psychotic disorders such as schizophrenia. Nevertheless, researchers are facing dilemmas of discrepant findings of immunophenotypes both outside and inside the brains of psychotic patients, as discovered by recent meta-analyses. These discrepancies make interpretations and interrogations on their roles in psychosis remain vague and even controversial, regarding whether certain immune cells are more activated or less so, and whether they are causal or consequential, or beneficial or harmful for psychosis. Addressing these issues for psychosis is not at all trivial, as immune cells either outside or inside the brain are an enormously heterogeneous and plastic cell population, falling into a vast range of lineages and subgroups, and functioning differently and malleably in context-dependent manners. This review aims to overview the currently known immunophenotypes of patients with psychosis, and provocatively suggest the premature immune "burnout" or inflamm-aging initiated since organ development as a potential primary mechanism behind these immunophenotypes and the pathogenesis of psychotic disorders.
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Affiliation(s)
- Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, PR China
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, PR China
| | - Li Tian
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
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Llorca-Bofí V, Bioque M, Madero S, Mallorquí A, Oliveira C, Garriga M, Parellada E, García-Rizo C. Blood Cell Count Ratios at Baseline are Associated with Initial Clinical Response to Clozapine in Treatment-Resistant, Clozapine-Naïve, Schizophrenia-Spectrum Disorder. PHARMACOPSYCHIATRY 2024; 57:173-179. [PMID: 38621701 DOI: 10.1055/a-2290-6386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
BACKGROUND Clozapine is the recommended treatment for managing treatment-resistant schizophrenia (TRS), and immunological mechanisms may be involved in its unique antipsychotic efficacy. This study investigated whether baseline immune abnormalities measured with blood cell count ratios can predict the clinical response after initiating treatment with clozapine in patients with clozapine naïve TRS. METHODS A longitudinal design was developed, involving 32 patients diagnosed with treatment-resistant, clozapine-naïve schizophrenia-spectrum disorder. Patients were evaluated at baseline before clozapine starting and 8 weeks of follow-up. Psychopathological status and immune abnormalities (blood cell count ratios: neutrophil-lymphocyte ratio [NLR], monocyte-lymphocyte ratio [MLR], platelet-lymphocyte ratio [PLR] and basophil-lymphocyte ratio [BLR]) were evaluated in each visit. RESULTS Baseline NLR (b=- 0.364; p=0.041) and MLR (b =- 0.400; p=0.023) predicted the change in positive symptoms over the 8-week period. Patients who exhibited a clinical response showed higher baseline NLR (2.38±0.96 vs. 1.75±0.83; p=0.040) and MLR (0.21±0.06 vs. 0.17±0.02; p=0.044) compared to non-responders. In the ROC analysis, the threshold points to distinguish between responders and non-responders were approximately 1.62 for NLR and 0.144 for MLR, yielding AUC values of 0.714 and 0.712, respectively. No statistically significant differences were observed in the blood cell count ratios from baseline to the 8-week follow-up. CONCLUSION Our study emphasizes the potential clinical significance of baseline NLR and MLR levels as predictors of initial clozapine treatment response in patients with TRS. Future studies with larger sample sizes and longer follow-up periods should replicate our findings.
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Affiliation(s)
- Vicent Llorca-Bofí
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miquel Bioque
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Santiago Madero
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Andrea Mallorquí
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | | | - Marina Garriga
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bipolar and Depressive Disorders Unit, Neurosciences Institute, Hospital Clínic Barcelona, Barcelona, Spain
| | - Eduard Parellada
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clemente García-Rizo
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- University of Coimbra, Coimbra, Portugal
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Llorca-Bofí V, Madero S, Amoretti S, Cuesta MJ, Moreno C, González-Pinto A, Bergé D, Rodriguez-Jimenez R, Roldán A, García-León MÁ, Ibáñez A, Usall J, Contreras F, Mezquida G, García-Rizo C, Berrocoso E, Bernardo M, Bioque M. Inflammatory blood cells and ratios at remission for psychosis relapse prediction: A three-year follow-up of a cohort of first episodes of schizophrenia. Schizophr Res 2024; 267:24-31. [PMID: 38513331 DOI: 10.1016/j.schres.2024.03.011] [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: 03/15/2023] [Revised: 02/19/2024] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND The clinical course following a first episode of schizophrenia (FES) is often characterized by recurrent relapses, resulting in unfavorable clinical and functional outcomes. Inflammatory dysregulation has been implicated in relapse risk; however, the predictive value of inflammatory blood cells in clinically remitted patients after a FES has not been previously explored. METHODS In this study, we closely monitored 111 patients in remission after a FES until relapse or a three-year follow-up endpoint. The participants were recruited from the multicenter 2EPS Project. Data on inflammatory blood cells and ratios were collected at baseline and at the time of relapse or after three years of follow-up. RESULTS Monocyte counts (OR = 1.91; 95 % CI = 1.07-3.18; p = 0.009) and basophil counts (OR = 1.09; 95 % CI = 1.01-1.12; p = 0.005) at baseline were associated with an increased risk of relapse, while the platelet-lymphocyte ratio (OR = 0.98; 95 % CI = 0.97-0.99; p = 0.019) was identified as a protective factor. However, after adjusting for cannabis and tobacco use during the follow-up, only monocyte counts (OR = 1.73; 95 % CI = 1.03-2.29; p = 0.027) and basophil counts (OR = 1.08; 95 % CI = 1.01-1.14; p = 0.008) remained statistically significant. ROC curve analysis indicated that the optimal cut-off values for discriminating relapsers were 0.52 × 10^9/L (AUC: 0.66) for monocytes and 0.025 × 10^9/L (AUC: 0.75) for basophils. When considering baseline inflammatory levels, no significant differences were observed in the inflammatory biomarkers at the endpoint between relapsers and non-relapsers. CONCLUSION This study provides evidence that higher monocyte and basophil counts measured at remission after a FES are associated with an increased risk of relapse during a three-year follow-up period.
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Affiliation(s)
- Vicent Llorca-Bofí
- Department of Medicine, University of Barcelona, Barcelona, Spain; Department of Psychiatry, Santa Maria University Hospital Lleida, Lleida, Spain; Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Santiago Madero
- Department of Medicine, University of Barcelona, Barcelona, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain.
| | - Silvia Amoretti
- Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Spain; Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III, Spain; Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Spain; University of Barcelona, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain.
| | - Ana González-Pinto
- Bioaraba, Alava University Hospital, UPV/EHU, Vitoria, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain.
| | - Dani Bergé
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Hospital del Mar Medical Research Institute, Universitat Pompeu Fabra, Barcelona, Spain.
| | - Roberto Rodriguez-Jimenez
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Alexandra Roldán
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, IIB-SANT PAU, Barcelona, Spain; CIBERSAM, ISCIII, Spain.
| | - María Ángeles García-León
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
| | - Angela Ibáñez
- Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain; Centro de Investigación Biomédica en red en salud Mental (CIBERSAM), ISCIII, Madrid, Spain
| | - Judith Usall
- Research Institute Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.
| | - Fernando Contreras
- Psychiatric Service, Bellvitge Universitari Hospital, IDIBELL, CIBERSAM, Spain.
| | - Gisela Mezquida
- University of Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clínic of Barcelona, Neuroscience Institute, Spain; Institut d'Investigacions Biomèdiques, August Pi i Sunyer, Centre for Biomedical Research in the Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Spain.
| | - Clemente García-Rizo
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain.
| | - Esther Berrocoso
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), CIBERSAM, ISCIII, Barcelona, Spain.
| | - Miquel Bioque
- Department of Medicine, University of Barcelona, Barcelona, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en red en salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Spain.
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9
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Pisanu C, Congiu D, Meloni A, Paribello P, Patrinos GP, Severino G, Ardau R, Chillotti C, Manchia M, Squassina A. Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets. Neuropsychopharmacology 2024; 49:1033-1041. [PMID: 38402365 PMCID: PMC11039620 DOI: 10.1038/s41386-024-01822-5] [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: 11/22/2023] [Revised: 01/17/2024] [Accepted: 02/04/2024] [Indexed: 02/26/2024]
Abstract
Patients with severe mental disorders such as bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) show a substantial reduction in life expectancy, increased incidence of comorbid medical conditions commonly observed with advanced age and alterations of aging hallmarks. While severe mental disorders are heritable, the extent to which genetic predisposition might contribute to accelerated cellular aging is not known. We used bivariate causal mixture models to quantify the trait-specific and shared architecture of mental disorders and 2 aging hallmarks (leukocyte telomere length [LTL] and mitochondrial DNA copy number), and the conjunctional false discovery rate method to detect shared genetic loci. We integrated gene expression data from brain regions from GTEx and used different tools to functionally annotate identified loci and investigate their druggability. Aging hallmarks showed low polygenicity compared with severe mental disorders. We observed a significant negative global genetic correlation between MDD and LTL (rg = -0.14, p = 6.5E-10), and no significant results for other severe mental disorders or for mtDNA-cn. However, conditional QQ plots and bivariate causal mixture models pointed to significant pleiotropy among all severe mental disorders and aging hallmarks. We identified genetic variants significantly shared between LTL and BD (n = 17), SCZ (n = 55) or MDD (n = 19), or mtDNA-cn and BD (n = 4), SCZ (n = 12) or MDD (n = 1), with mixed direction of effects. The exonic rs7909129 variant in the SORCS3 gene, encoding a member of the retromer complex involved in protein trafficking and intracellular/intercellular signaling, was associated with shorter LTL and increased predisposition to all severe mental disorders. Genetic variants underlying risk of SCZ or MDD and shorter LTL modulate expression of several druggable genes in different brain regions. Genistein, a phytoestrogen with anti-inflammatory and antioxidant effects, was an upstream regulator of 2 genes modulated by variants associated with risk of MDD and shorter LTL. While our results suggest that shared heritability might play a limited role in contributing to accelerated cellular aging in severe mental disorders, we identified shared genetic determinants and prioritized different druggable targets and compounds.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, School of Health Sciences, Department of Pharmacy, University of Patras, Patras, Greece
- College of Medicine and Health Sciences, Department of Genetics and Genomics, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
- Zayed Center for Health Sciences, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
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10
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Chaves C, Dursun SM, Tusconi M, Hallak JEC. Neuroinflammation and schizophrenia - is there a link? Front Psychiatry 2024; 15:1356975. [PMID: 38389990 PMCID: PMC10881867 DOI: 10.3389/fpsyt.2024.1356975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024] Open
Affiliation(s)
- Cristiano Chaves
- NeuroMood Lab, School of Medicine and Kingston Health Sciences Center (KHSC), Department of Psychiatry, Queen's University, Kingston, ON, Canada
- Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
- National Institute for Translational Medicine (INCT-TM), CNPq, São Paulo, Brazil
| | - Serdar M Dursun
- National Institute for Translational Medicine (INCT-TM), CNPq, São Paulo, Brazil
- Department of Psychiatry (Neurochemical Research Unit) and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Massimo Tusconi
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Jaime E C Hallak
- Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
- National Institute for Translational Medicine (INCT-TM), CNPq, São Paulo, Brazil
- Department of Psychiatry (Neurochemical Research Unit) and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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11
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Yang C, Tian Y, Yang X, Liu L, Ling C, Xia L, Liu H. Hematological and inflammatory markers in Han Chinese patients with drug-free schizophrenia: relationship with symptom severity. Front Immunol 2024; 15:1337103. [PMID: 38352871 PMCID: PMC10861680 DOI: 10.3389/fimmu.2024.1337103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Background There is a growing amount of evidence suggesting that immunity and inflammation play an important role in the pathophysiology of schizophrenia. In this study, we aimed to examine the relationship between hematological and inflammatory markers with symptom severity in Han Chinese patients with drug-free schizophrenia. Methods This retrospective study was conducted at Chaohu Hospital of Anhui Medical University and data were extracted from the electronic medical record system over a 5-year period (May 2017 to April 2022), including participants' general and clinical information as well as Brief Psychiatric Rating Scale (BPRS) scores and hematological parameters. Results A total of 2,899 patients with schizophrenia were identified through the initial search. After screening, 91 patients and 141 healthy controls (HCs) were included. The patients had a higher value of neutrophils/lymphocytes ratio (NLR), monocyte/lymphocyte ratio (MLR), and platelet/lymphocyte ratio (PLR) than HCs (all P < 0.001). MLR was positively correlated with BPRS total score (r = 0.337, P = 0.001) and resistance subscale score (r = 0.350, P = 0.001). Binary logistic regression analyses revealed that severely ill was significantly associated with being male and a higher value of MLR (Natural Logaruthm, Ln) (all P < 0.05), and the receiver operating characteristic (ROC) analysis showed good performance of a regression model with an area under the curve (AUC) value of 0.787. Conclusion Patients with drug-free schizophrenia have an unbalanced distribution of peripheral blood granulocytes, and elevated NLR, MLR and PLR. Patients with higher value of MLR tend to have more psychotic symptoms, especially those symptoms of hostility, uncooperativeness, and suspiciousness. Our study gives a preliminary indication that MLR is a potential predictor of disease severity in patients with drug-free schizophrenia.
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Affiliation(s)
- Cheng Yang
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Yinghan Tian
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Xiaoxue Yang
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Lewei Liu
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Chen Ling
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, China
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12
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Zhou L, Ma X, Wang W. Immune dysregulation is associated with symptom dimensions and cognitive deficits in schizophrenia: accessible evidence from complete blood count. BMC Psychiatry 2024; 24:48. [PMID: 38216897 PMCID: PMC10785466 DOI: 10.1186/s12888-023-05430-3] [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: 08/02/2023] [Accepted: 12/01/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a psychotic disorder with an unknown pathogenesis accompanied by varying degrees of cognitive deficits. Recent studies have shown that immune dysregulation plays an important role in developing symptoms and cognitive deficits in SCZ. This study aimed to determine the complete blood count (CBC), including white blood cells, neutrophils, monocytes, lymphocytes, platelets, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), in patients with SCZ and explore their correlations with SCZ symptom dimensions and cognitive function. METHODS Seventy-four patients with SCZ and 57 age- and sex-matched healthy controls with available demographic and clinical information were recruited for this study. Blood samples were collected, and symptom dimensions and cognitive function were evaluated using the Positive and Negative Syndrome Scale (PANSS) and MATRICS Consensus Cognitive Battery (MCCB) separately. RESULTS Our results demonstrate that SCZ patients showed higher monocyte counts, PLR, MLR, and worse performance in the total MCCB than healthy controls. Neutrophil and lymphocyte counts and NLR were positively related to symptom severity and negatively related to depressive symptoms. White blood cell (WBC) count, monocyte count, and MLR were positively correlated with cognitive performance in patients with SCZ. CONCLUSION In summary, this study suggests that cognitive deficits and symptom severity in patients were associated with dysregulation of immunity. Moreover, we found that WBC could be used as a marker for symptom severity and cognitive deficits in SCZ and that neutrophils are more closely related to the former and monocytes to the latter. We hope that clinicians will pay more attention to dysregulated immunity in patients with SCZ in the future.
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Affiliation(s)
- Lina Zhou
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, P.R. China
| | - Xiancang Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, P.R. China
| | - Wei Wang
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, P.R. China.
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