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Wu F, Yi Y, Lian Y, Chen Q, Luo L, Yang H, Li H, Feng Y, Feng S, Zhou S, Huang Y, Li Z, Zhang X. Sex differences in the association between suicidal ideation and neurocognitive function in Chinese patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024; 274:1355-1363. [PMID: 37184751 DOI: 10.1007/s00406-023-01616-8] [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: 10/10/2022] [Accepted: 04/26/2023] [Indexed: 05/16/2023]
Abstract
There is increasing evidence that sex differences exist in many clinical manifestations of patients with schizophrenia, including suicidal ideation (SI) and neurocognitive function. The present study was performed to explore the sex differences in the association between SI and neurocognitive function in Chinese patients with schizophrenia. A total of 1188 inpatients with schizophrenia were recruited from multicenter psychiatric hospitals. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was utilized to evaluate the neurocognitive function of all patients. The Positive and Negative Syndrome Scale (PANSS) was utilized to assess the psychopathology of patients. The Beck Scale for Suicide Ideation (BSSI) was used to assess the severity of SI. In male patients, the suicide risk score was significantly associated with PANSS negative symptoms (r = 0.167, p = 0.043), visuospatial subscale (r = - 0.261, p = 0.001), and RBANS total scores (r = - 0.172, p = 0.037). Furthermore, multivariate linear regression analysis showed that the visuospatial subscale (β = - 0.490, t = - 3.273, p = 0.001) was independently associated with the suicide risk score in male patients. In female patients, the suicide risk score was significantly correlated with PANSS positive symptoms (r = 0.249, p = 0.021), negative symptoms (r = 0.394, p < 0.001), general psychopathology (r = 0.276, p = 0.01) and PANSS total score (r = 0.365, p = 0.001). Multivariate linear regression analysis showed that PANSS negative symptoms (β = 1.849, t = 3.933, p = 0.001) were significantly associated with suicide risk scores in female patients. Our findings indicate that there are sex differences in the association between SI and neurocognitive function in patients with schizophrenia. Based on the findings of our study, gender-specific prevention and intervention strategies may make a difference in reducing SI in Chinese schizophrenia patients.
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Affiliation(s)
- Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, 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
| | - Yun Yi
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Yunling Lian
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, China
| | - Qiang Chen
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Lanfang Luo
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Hanlun Yang
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Yangdong Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Shixuan Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Sumiao Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
| | - Xiangyang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China.
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
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Lin C, Zhang S, Yang P, Zhang B, Guo W, Wu R, Liu Y, Wang J, Wu H, Cai H. Combination of UGT1A1 polymorphism and baseline plasma bilirubin levels in predicting the risk of antipsychotic-induced dyslipidemia in schizophrenia patients. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:52. [PMID: 38760414 PMCID: PMC11101411 DOI: 10.1038/s41537-024-00473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
The prolonged usage of atypical antipsychotic drugs (AAPD) among individuals with schizophrenia often leads to metabolic side effects such as dyslipidemia. These effects not only limit one's selection of AAPD but also significantly reduce compliance and quality of life of patients. Recent studies suggest that bilirubin plays a crucial role in maintaining lipid homeostasis and may be a potential pre-treatment biomarker for individuals with dyslipidemia. The present study included 644 schizophrenia patients from two centers. Demographic and clinical characteristics were collected at baseline and 4 weeks after admission to investigate the correlation between metabolites, episodes, usage of AAPDs, and occurrence of dyslipidemia. Besides, we explored the combined predictive value of genotypes and baseline bilirubin for dyslipidemia by employing multiple PCR targeted capture techniques to sequence two pathways: bilirubin metabolism-related genes and lipid metabolism-related genes. Our results indicated that there existed a negative correlation between the changes in bilirubin levels and triglyceride (TG) levels in patients with schizophrenia. Among three types of bilirubin, direct bilirubin in the baseline (DBIL-bl) proved to be the most effective in predicting dyslipidemia in the ROC analysis (AUC = 0.627, p < 0.001). Furthermore, the odds ratio from multinomial logistic regression analysis showed that UGT1A1*6 was a protective factor for dyslipidemia (ß = -12.868, p < 0.001). The combination of baseline DBIL and UGT1A1*6 significantly improved the performance in predicting dyslipidemia (AUC = 0.939, p < 0.001). Schizophrenia patients with UGT1A1*6 mutation and a certain level of baseline bilirubin may be more resistant to dyslipidemia and have more selections for AAPD than other patients.
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Affiliation(s)
- Chenquan Lin
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Shuangyang Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ping Yang
- Department of Psychiatry, Hunan Brain Hospital, Changsha, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yong Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jianjian Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Haishan Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.
- Institute of Clinical Pharmacy, Central South University, Changsha, China.
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China.
- National Clinical Research Center on Mental Disorders, Changsha, China.
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Deng F, Ma J. Gender Differences in Prevalence and Associated Factors of Dyslipidemia in Initial-Treatment and Drug-Naïve Schizophrenia Patients. Neuropsychiatr Dis Treat 2024; 20:957-966. [PMID: 38737771 PMCID: PMC11088862 DOI: 10.2147/ndt.s457631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/23/2024] [Indexed: 05/14/2024] Open
Abstract
Background Dyslipidemia is frequently comorbid with schizophrenia (SCZ), and both conditions often demonstrate significant gender differences in their clinical features. This study specifically focuses on investigating the prevalence of dyslipidemia and the factors that contribute to it in initial-treatment and drug-naïve (ITDN) SCZ patients, specifically focusing on gender differences. Methods A total of 224 male ITDN SCZ patients and 424 female ITDN SCZ patients were included in this study. Socio-demographic and general clinical data of the patients were collected, and routine biochemical parameters, such as lipid levels, fasting blood glucose, thyroid function, renal function, and blood cell counts, were measured. Patients were also assessed for psychopathology and disease severity using the Positive and Negative Syndrome Scale (PANSS) and the Clinical Global Impression Scale - Severity of Illness (CGI-SI), respectively. In addition, a lipids score was calculated for assessing the severity of dyslipidemia. Results The study revealed that the prevalence of dyslipidemia in male patients was 34.02% (83/224), whereas 33.25% (141/424) in females, indicating no statistically significant difference (χ2 = 0.04, p = 0.841). For males, the risk factors for dyslipidemia were high education levels and diastolic blood pressure (DBP), while red blood cell count (RBC) as a protective factor. Additionally, DBP was identified as a risk factor for dyslipidemia score. In females, systolic blood pressure (SBP) was identified as a risk factor for dyslipidemia, while being married and creatinine (CRE) levels were found to be protective factors. Moreover, SBP was revealed as a risk factor for dyslipidemia score. Conclusion No significant gender differences were observed in the prevalence of dyslipidemia among the ITDN SCZ patients. However, notable gender differences were identified in the factors influencing dyslipidemia and its severity within this group. These findings suggest the necessity of implementing gender-specific interventions to address the potential risk factors associated with dyslipidemia.
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Affiliation(s)
- Fang Deng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei, People’s Republic of China
| | - Jun Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China
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Li S, Liu W, Huang Z, Lin H, Ning Y, Li Z. Sex-specific associations between sex hormones and clinical symptoms in late-life schizophrenia. Schizophr Res 2024; 267:1-7. [PMID: 38492529 DOI: 10.1016/j.schres.2024.03.002] [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: 07/25/2023] [Revised: 02/14/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
The prevalence of late-life schizophrenia is increasing with high burden. It is well-documented that schizophrenia affects men and women differently in terms of symptoms. Sex hormones, which play a role in the pathology and symptoms of schizophrenia, are greatly affected by aging. To the best of our knowledge, this is a study to examine the sex differences in psychiatric symptoms and their correlation with sex hormones in participants with late-life schizophrenia. Positive and Negative Syndrome Scale (PANSS) factors were evaluated. Testosterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol, progesterone, and prolactin were measured. Male participants with late-life schizophrenia had more severe negative symptoms than female participants (z = -2.56, P = 0.010), while female participants had more severe anxiety/depression compared to male participants (z = 2.64, P = 0.008). Testosterone levels in male participants were positively associated with negative symptoms (β = 0.23, t = 2.27, P = 0.025), while there was no significant association between sex hormones and symptoms in female participants. In conclusion, higher testosterone levels were associated with more severe negative symptoms in male participants with late-life schizophrenia, suggesting that attention should be paid to the sex differences in late-life schizophrenia in clinical practice.
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Affiliation(s)
- Shuyun Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province, Ministry of Education of China, Guangzhou Medical University, Guangzhou, China
| | - Weijian Liu
- Peking University Sixth Hospital, Peking University, Beijing, China
| | - Zebin Huang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hong Lin
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province, Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
| | - Zezhi Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province, Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
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5
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Zeng K, Wang S, Zhang L, Zhang Y, Ma J. Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients. Ann Gen Psychiatry 2023; 22:25. [PMID: 37381041 DOI: 10.1186/s12991-023-00455-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Metabolic syndromes (MetS) are clinical syndromes involving multiple pathological states with distinct gender-specific clinical patterns. As a serious disorder associated with psychiatric conditions, the prevalence of MetS is significantly higher in the population with schizophrenia (Sch). The aim of this paper is to report gender differences in the prevalence, associated factors and severity-related factors of MetS in first-treatment and drug-naïve (FTDN) patients with Sch. METHODS A total of 668 patients with FTDN Sch were included in this study. We collected socio-demographic and general clinical information on the target population, measured and evaluated common metabolic parameters and routine biochemical indicators, and assessed the severity of psychiatric symptoms using Positive and Negative Symptom Scale (PANSS). RESULTS In the target group, the prevalence of MetS was significantly higher in women (13.44%, 57/424) than in men (6.56%, 16/244). In the males, waist circumference (WC), fasting blood glucose (FBG), diastolic blood pressure (DBP), and triglycerides (TG) were risk factors for MetS, while systolic blood pressure (SBP), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and platelet (PLT) were risk factors for the females. More importantly, for the females, we found that age, LDL-C, PANSS scores and blood creatinine (CRE) were risk factors for higher MetS scores, while onset age and hemoglobin (HGB) were protective factors. CONCLUSION There are significant gender differences in the prevalence of MetS and its factors among patients with FTDN Sch. The prevalence of MetS is higher and the factors that influence MetS are more numerous and extensive in females. The mechanisms of this difference need further research and clinical intervention strategies should be formulated with gender differences.
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Affiliation(s)
- Kuan Zeng
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Shuo Wang
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Lin Zhang
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Yanting Zhang
- Department of Psychiatry, Suzhou Guangji Hospital, No. 11, Guangqian Road, Suzhou, Jiangsu, China.
| | - Jun Ma
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China.
- Wuhan Hospital for Psychotherapy, Wuhan, China.
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, China.
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Shen H, Zhang L, Li Y, Zheng D, Du L, Xu F, Xu C, Liu Y, Shen J, Li Z, Cui D. Mindfulness-based intervention improves residual negative symptoms and cognitive impairment in schizophrenia: a randomized controlled follow-up study. Psychol Med 2023; 53:1390-1399. [PMID: 36468948 PMCID: PMC10009398 DOI: 10.1017/s0033291721002944] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/22/2021] [Accepted: 07/03/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Residual negative symptoms and cognitive impairment are common for chronic schizophrenia patients. The aim of this study was to investigate the efficacy of a mindfulness-based intervention (MBI) on negative and cognitive symptoms of schizophrenia patients with residual negative symptoms. METHODS In this 6-week, randomized, single-blind, controlled study, a total of 100 schizophrenia patients with residual negative symptoms were randomly assigned to the MBI or control group. The 6-week MBI group and the control group with general rehabilitation programs maintained their original antipsychotic treatments. The scores for the Positive and Negative Syndrome Scale (PANSS), the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), and the Symptom Checklist 90 (SCL-90) were recorded at baseline and week 6 to assess psychotic symptoms, cognitive performance, and emotional state, respectively. RESULTS Compared with general rehabilitation programs, MBI alleviated the PANSS-negative subscore, general psychopathology subscore, and PANSS total score in schizophrenia patients with residual negative symptoms (F = 33.77, pBonferroni < 0.001; F = 42.01, pBonferroni < 0.001; F = 52.41, pBonferroni < 0.001, respectively). Furthermore, MBI improved RBANS total score and immediate memory subscore (F = 8.80, pBonferroni = 0.024; F = 11.37, pBonferroni = 0.006), as well as SCL-90 total score in schizophrenia patients with residual negative symptoms (F = 18.39, pBonferroni < 0.001). CONCLUSIONS Our results demonstrate that MBI helps schizophrenia patients with residual negative symptoms improve clinical symptoms including negative symptom, general psychopathology symptom, and cognitive impairment. TRIAL REGISTRATION ChiCTR2100043803.
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Affiliation(s)
- Hui Shen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhuan Li
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Denise Zheng
- McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Lizhao Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Feikang Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chuchen Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Shen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Donghong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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Xing M, Sheng J, Cui M, Su Y, Zhang C, Chen X, Fang Y, Cui D, Li Z. Differing Prevalence and Correlates of Metabolic Syndromes Between Chlorpromazine and Clozapine: A 10-year Retrospective Study of a Male Chinese Cohort. Curr Neuropharmacol 2022; 20:1969-1977. [PMID: 35236263 PMCID: PMC9886797 DOI: 10.2174/1570159x20666220302153123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/06/2022] [Accepted: 02/28/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Antipsychotics are known to be associated with metabolic syndromes (MetS). Chlorpromazine (CPZ) and Clozapine (CLZ) are currently the most commonly used antipsychotics in low-income districts of China. However, potential differences in the long-term effects of CPZ and CLZ on MetS in schizophrenia inpatients are not well understood. Here, we aimed to identify any MetS profile differences between long-term schizophrenia patients who were prescribed either CPZ or CLZ at a primary psychiatric hospital. METHODS We recruited a total of 204 male schizophrenia patients who received either CPZ or CLZ. We measured their weight, height, body mass index (BMI), waist circumference (WC), diastolic blood pressure (DBP), and systolic blood pressure (SBP), as well as their biochemical indicators, including fasting blood glucose (FBS), triglycerides (TG), cholesterol (TC), high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c). RESULTS The MetS prevalence in the CPZ and CLZ groups was 31% and 37.5%, respectively. The CLZ group had significantly higher DBP levels and a higher incidence of dyslipidemia (HDL-c) but lower HDL-c and TC levels than the CPZ group. We also determined that smoking history, BMI, and duration of hospitalisation were risk factors for the development of MetS. Moreover, we found that CPZ and CLZ were correlated with the same risk for developing MetS and that BMI was a vital risk factor of MetS for both the CPZ and CLZ groups. CONCLUSION Long-term CPZ and CLZ prescriptions were associated with similar profiles for developing MetS of schizophrenia patients.
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Affiliation(s)
| | | | | | | | | | | | | | - Donghong Cui
- Address correspondence to these authors at the Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Tel: 86-135-6464-8631; E-mail: , Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai 200030, China; Tel: 86-21-52219033; E-mail:
| | - Zezhi Li
- Address correspondence to these authors at the Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Tel: 86-135-6464-8631; E-mail: , Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai 200030, China; Tel: 86-21-52219033; E-mail:
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Aoki R, Saito T, Ninomiya K, Shimasaki A, Ashizawa T, Ito K, Ikeda M, Iwata N. Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets. Psychiatry Clin Neurosci 2022; 76:361-366. [PMID: 35536160 PMCID: PMC9546074 DOI: 10.1111/pcn.13372] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/24/2022] [Accepted: 04/21/2022] [Indexed: 11/30/2022]
Abstract
AIM The genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets. METHODS We used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome-wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regression analysis was utilized with further meta-analysis for each result from EAS and EUR samples to obtain robust evidence. Subsequent mendelian randomization analysis was also included to examine the causal effect. RESULTS A significant genetic correlation between SCZ and several metabolic syndrome (MetS) traits was detected in the combined samples (meta-analysis between EAS and EUR data) (body mass index [rg = -0.10, q-value = 1.0 × 10-9 ], high-density-lipoprotein cholesterol [rg = 0.072, q-value = 2.9 × 10-3 ], blood sugar [rg = -0.068, q-value = 1.4 × 10-2 ], triglycerides [rg = -0.052, q-value = 2.4 × 10-2 ], systolic blood pressure [rg = -0.054, q-value = 3.5 × 10-2 ], and C-reactive protein [rg = -0.076, q-value = 7.8 × 10-5 ]. However, no causal relationship on SCZ susceptibility was detected for these traits based on the mendelian randomization analysis. CONCLUSION Our results indicate shared genetic components between SCZ and MetS traits and C-reactive protein. Specifically, we found it interesting that the correlation between MetS traits and SCZ was the opposite of that expected from clinical studies: this genetic study suggests that SCZ susceptibility was associated with reduced MetS. This implied that MetS in patients with SCZ was not associated with genetic components but with environmental factors, including antipsychotics, lifestyle changes, poor diet, lack of exercise, and living conditions.
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Affiliation(s)
- Rei Aoki
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Takeo Saito
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kohei Ninomiya
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Ayu Shimasaki
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Takuma Ashizawa
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kenta Ito
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
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Schizophrenia Outside the Brain. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1400:53-63. [DOI: 10.1007/978-3-030-97182-3_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Çevik Durmaz Y, Menekli T, Ersoy Özcan B. The Effects of Hopelessness and Some Variables on Metabolic Syndrome in Schizophrenia Patients. Clin Nurs Res 2021; 31:194-201. [PMID: 34930066 DOI: 10.1177/10547738211057237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This is a descriptive study conducted to determine the prevalence of Metabolic Syndrome (MetS) in Schizophrenia patients and identify the effects of hopelessness and some variables on MetS. The study was conducted at the Psychiatry Clinic of a university hospital in Turkey between May and August 2020 with 105 schizophrenia patients receiving treatment as inpatients. The data of the study were collected by a Personal Information Form, a Physiological Measurements Form and (BHS). The data were analyzed by using SPSS 25. The mean age of the patients was 35.31 ± 9.07, their mean duration of disease was 11.35 ± 9.07 years, and 60.0% of the patients were using atypical antipsychotics as their latest drug treatment. 42.9% of the patients had MetS, while the mean hopelessness level of those with MetS was 10.84 ± 3.81. It was determined that hopelessness levels and some sociodemographic (age) and clinical variables significantly predicted the MetS status in the schizophrenia patients.
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Zhuo C, Xu Y, Wang H, Zhou C, Liu J, Yu X, Shao H, Tian H, Fang T, Li Q, Chen J, Xu S, Ma X, Yang W, Yao C, Li B, Yang A, Chen Y, Huang G, Lin C. Clozapine induces metformin-resistant prediabetes/diabetes that is associated with poor clinical efficacy in patients with early treatment-resistant schizophrenia. J Affect Disord 2021; 295:163-172. [PMID: 34464878 DOI: 10.1016/j.jad.2021.08.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/10/2021] [Accepted: 08/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Two distinct subtypes of treatment-resistant schizophrenia (TRS) have been recently reported, including early-treatment resistance (E-TR) and late-treatment resistance (L-TR). This study was to assess clozapine-induced metformin-resistant prediabetes/diabetes and its correlation with clinical efficacy in schizophrenia E-TR subtype. METHODS This prospective cohort study enrolled 230 patients with schizophrenia E-TR subtype and they were treated with adequate doses of clozapine for 16 weeks, during which patients with prediabetes/diabetes were assigned to receive add-on metformin. The main outcomes and measures included incidence of clozapine-induced prediabetes/diabetes and metformin-resistant prediabetes/diabetes, and the efficacy of clozapine as assessed by the Positive and Negative Syndrome Scale (PANSS) score. RESULTS Clozapine-induced prediabetes/diabetes occurred in 76.52% of patients (170 prediabetes and 6 diabetes), of which the blood sugar of 43 (24.43%) patients was controlled with metformin. Despite add-on metformin, 47.06% (74/170) of prediabetes patients progressed to diabetes. In total, the incidence of clozapine-induced metformin-resistant prediabetes/diabetes was 75.57% (133/176). On completion of 16-week clozapine treatment, 16.52% (38/230) patients showed clinical improvement with PANSS scores of ≥50% declining. Furthermore, clozapine-induced prediabetes/diabetes was significantly correlated with the poor clinical efficacy of clozapine for schizophrenia E-TR subtype. CONCLUSIONS The incidence of clozapine-induced metformin-resistant prediabetes/diabetes was considerably high in the schizophrenia E-TR subtype. Clozapine-induced metformin-resistant prediabetes/diabetes represents an independent risk factor that adversely affects the clinical efficacy of clozapine for the schizophrenia E-TR subtype. This study provided new evidence for re-evaluating the use of clozapine for TRS, especially E-TR subtype, and the use of metformin for the glycemic control of clozapine-induced prediabetes/diabetes.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China.
| | - Yong Xu
- Department of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, 100191, China
| | - Chunhua Zhou
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jian Liu
- Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaocui Yu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Hailin Shao
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Tao Fang
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Qianchen Li
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jiayue Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Shuli Xu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaoyan Ma
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Weiliang Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Cong Yao
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Bo Li
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Anqu Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Yuhui Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Guoyong Huang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
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12
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Lang X, Liu Q, Fang H, Zhou Y, Forster MT, Li Z, Zhang X. The prevalence and clinical correlates of metabolic syndrome and cardiometabolic alterations in 430 drug-naive patients in their first episode of schizophrenia. Psychopharmacology (Berl) 2021; 238:3643-3652. [PMID: 34586464 DOI: 10.1007/s00213-021-05983-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 09/15/2021] [Indexed: 11/26/2022]
Abstract
RATIONALE Although metabolic abnormalities and metabolic syndrome (MetS) have been extensively investigated in schizophrenia, few studies have examined them in first-episode drug-naive (FEDN) patients. OBJECTIVES This study aimed to investigate the prevalence and clinical correlates of metabolic abnormalities in FEDN schizophrenia patients. METHODS A total of 430 FEDN schizophrenia patients and 453 controls were recruited. Various parameters were measured including BMI, waist circumference, blood pressure, lipid profiles, blood glucose, glycosylated hemoglobin (HbA1c), insulin, and homeostatic model assessment for insulin resistance (HOMA-IR). RESULTS Patients had a higher prevalence of MetS, hypertension, hypertriglyceridemia, hypo-HDL-C, elevated HAb1c, and elevated insulin than controls (19.1% vs. 6.6%, OR = 2.52; 33.3% vs. 12.1%, OR = 3.05; 30.5% vs. 16.1%, OR = 2.25; 43.1% vs. 24.0%, OR = 2.21; 25.6% vs. 10.8%, OR = 2.62; 9.1% vs. 0.9%, OR = 10.29; all pBonferroni < 0.001). Waist circumference was associated with PANSS general psychopathology and total score (correlation coefficient r = 0.17, pBonferroni < 0.001; correlation coefficient r = 0.16, pBonferroni = 0.004). Fasting glucose was associated with PANSS negative, general psychopathology, and total score (correlation coefficient r = 0.13, pBonferroni = 0.03; correlation coefficient r = 0.19, pBonferroni < 0.001; correlation coefficient r = 0.20, pBonferroni < 0.001). BMI (OR = 1.37), smoking (OR = 3.39), and HOMA-IR (OR = 5.60) were associated with MetS in FEDN schizophrenia (all p < 0.001). CONCLUSIONS Our results demonstrate that MetS and metabolic abnormalities co-existed in the early stages of schizophrenia without antipsychotics. Waist circumference and glucose were associated with psychopathological symptoms, while BMI, smoking, and HOMA-IR were associated with MetS in FEDN schizophrenia.
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Affiliation(s)
- Xiaoe Lang
- Department of Psychiatry, The First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Qinqin Liu
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Hanliu Fang
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Yongjie Zhou
- Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
| | - Mattew T Forster
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, 510370, China.
| | - Xiangyang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, 510370, China.
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, 100101, Beijing, China.
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13
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Lang X, Zhou Y, Zhao L, Gu Y, Wu X, Zhao Y, Li Z, Zhang X. Differences in patterns of metabolic abnormality and metabolic syndrome between early-onset and adult-onset first-episode drug-naive schizophrenia patients. Psychoneuroendocrinology 2021; 132:105344. [PMID: 34274733 DOI: 10.1016/j.psyneuen.2021.105344] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 06/19/2021] [Accepted: 06/24/2021] [Indexed: 12/18/2022]
Abstract
Although metabolic abnormalities and metabolic syndrome (MetS) often occur in schizophrenia, few studies have investigated them in early-onset schizophrenia (EOS) patients. To our knowledge, this was the first to compare clinical correlates of metabolic abnormalities between first-episode drug-naïve (FEDN) EOS and adult-onset schizophrenia (AOS) patients. A total of 489 Chinese FEDN schizophrenia patients (116 EOS and 373 AOS) and 451 healthy controls were recruited in this cross-sectional study. Blood pressure, waist circumference (WC), Body mass index (BMI), total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), glucose, hemoglobin A1c (HbA1c), insulin and insulin resistance were measured. The Positive and Negative Syndrome Scale (PANSS) was applied to evaluate the clinical symptoms of schizophrenia patients, and higher scores on PANSS indicate increased severity. EOS patients had lower rates of: MetS, elevated WC, hypertriglyceridemia, hypercholesterolemia, and hyper-LDLC than EOS patients (all p < 0.05). In EOS patients, WC was positively associated with PANSS general psychopathology score (p = 0.04). In AOS patients, WC (p = 0.01; p = 0.02) and glucose (p < 0.001; p < 0.001) were positively associated with PANSS general psychopathology and total score. HOMA-IR was positively associated with PANSS total score (p = 0.04). Systolic BP, triglycerides and HDLC were main contributors to MetS in AOS (all p < 0.05), but not in EOS. BMI was a risk factor of MetS in EOS, while BMI and HOMA-IR were risk factors of MetS in AOS (all p < 0.05). Our results indicate differences in metabolic abnormalities patterns, risk factors and their association with clinical characteristics between Chinese EOS and AOS patients. DATA AVAILABILITY STATEMENT: The datasets that support the findings of this study are not publically available due to ongoing analyses for further publications, but are available from the corresponding author X.Z. upon reasonable request.
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Affiliation(s)
- Xiaoe Lang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yang Zhou
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Lei Zhao
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Yinjun Gu
- Shanghai Jinshan Mental Health Center, Shanghai, China
| | - Xi Wu
- Department of Neurosurgery, Shanghai Changhai Hospital, Shanghai, China
| | - Yuefeng Zhao
- University of Shanghai For Science and Technology, Shanghai, China
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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14
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Seeman MV, González-Rodríguez A. Stratification by Sex and Hormone Level When Contrasting Men and Women in Schizophrenia Trials Will Improve Personalized Treatment. J Pers Med 2021; 11:929. [PMID: 34575706 PMCID: PMC8471344 DOI: 10.3390/jpm11090929] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Sex and gender differences have been reported in the prevalence, expression, treatment response, and outcome of schizophrenia, but most reports are based on relatively small samples that have not been stratified for the impact of sex hormone levels. This literature review aims to show how women's hormone levels can impact the results of male/female comparisons. METHODS This is a narrative review of data from publications of the last decade. RESULTS Epidemiologic evidence, reports of the impact of hormones on cognition, results of sexually dimorphic responses to treatment, and male/female trajectories of illness over time all suggest that female hormone fluctuations exert major effects on male/female differences in schizophrenia. CONCLUSIONS Information on hormonal status in women participants is rarely available in clinical studies in schizophrenia, which makes male/female comparisons largely uninterpretable. These are the current challenges. Opportunities for individualized treatment are growing, however, and will undoubtedly result in improved outcomes for both women and men in the future.
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Affiliation(s)
- Mary V. Seeman
- Department of Psychiatry, University of Toronto, #605 260 Heath St. W., Toronto, ON M5P 3L6, Canada
| | - Alexandre González-Rodríguez
- Department of Mental Health, Mutua Terrassa University Hospital, University of Barcelona, 08221 Terrassa, Barcelona, Spain;
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Zhu M, Liu Z, Guo Y, Sultana MS, Wu K, Lang X, Lv Q, Huang X, Yi Z, Li Z. Sex difference in the interrelationship between TNF-α and oxidative stress status in first-episode drug-naïve schizophrenia. J Neuroinflammation 2021; 18:202. [PMID: 34526062 PMCID: PMC8444364 DOI: 10.1186/s12974-021-02261-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 08/30/2021] [Indexed: 12/13/2022] Open
Abstract
Background Increasing evidence indicates that dysregulated TNF-α and oxidative stress (OxS) contribute to the pathophysiology of schizophrenia. Additionally, previous evidence has demonstrated sex differences in many aspects of schizophrenia including clinical characteristics, cytokines, and OxS markers. However, to the best of our knowledge, there is no study investigating sex differences in the association between TNF-α, the OxS system, and their interaction with clinical symptoms in schizophrenia patients, especially in first-episode drug-naïve (FEDN) patients. Methods A total of 119 FEDN schizophrenia patients and 135 healthy controls were recruited for this study. Serum TNF-α, superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), catalase (CAT), and malondialdehyde (MDA) were measured. The Positive and Negative Syndrome Scale (PANSS) was applied to evaluate psychotic symptoms. Two-way ANOVA, partial correlation analysis, and multivariate regression analysis were performed. Results A sex difference in MDA levels was demonstrated only in healthy controls (F = 7.06, pBonferroni = 0.045) and not seen in patients. Furthermore, only male patients had higher MDA levels than male controls (F = 8.19, pBonferroni = 0.03). Additionally, sex differences were observed in the association of TNF-α and MDA levels with psychotic symptoms (all pBonferroni < 0.05). The interaction of TNF-α and MDA was only associated with general psychopathology symptom in male patients (B = − 0.07, p = 0.02). Conclusion Our results demonstrate the sex difference in the relationship between TNF-α, MDA, and their interaction with psychopathological symptoms of patients with schizophrenia.
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Affiliation(s)
- Minghuan Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, China.,Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
| | - Zhenjing Liu
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Yanhong Guo
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Mst Sadia Sultana
- Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh
| | - Kang Wu
- Department of Laboratory Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Xiaoe Lang
- Department of Psychiatry, The First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Qinyu Lv
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, China
| | - Xiao Huang
- Department of Psychological Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
| | - Zhenghui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, China.
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, 510370, China.
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16
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Li Z, Wang S, Chen Y, Wu X, Gu Y, Lang X, Wu F, Zhang XY. Smoking Affects the Patterns of Metabolic Disorders and Metabolic Syndrome in Patients With First-Episode Drug-Naive Schizophrenia: A Large Sample Study Based on the Chinese Han Population. Int J Neuropsychopharmacol 2021; 24:798-807. [PMID: 34153098 PMCID: PMC8538889 DOI: 10.1093/ijnp/pyab038] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/22/2021] [Accepted: 06/18/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Although metabolic disorders and smoking are common in schizophrenia, few studies have investigated the effects of smoking on metabolic disorders or metabolic syndrome (MetS) in schizophrenia patients, especially in first-episode drug-naïve (FEDN) patients. We sought to investigate the differences in metabolic disorders and MetS between smoking and nonsmoking FEDN schizophrenia patients. METHODS A total of 428 FEDN schizophrenia patients and 435 controls were recruited. Blood pressure, waist circumference, body mass index (BMI), lipid profiles, and glucose metabolism were measured. The psychopathology was evaluated by Positive and Negative Syndrome Scale. RESULTS FEDN schizophrenia patients had a higher smoking rate than controls (23.8% vs 14.0%, P < .001). After adjusting for confounding variables, the prevalence of MetS, overweight, hypertension, hypertriglyceridemia, elevated insulin, and insulin resistance in smoking patients was higher than those in nonsmoking patients, while overweight and hypertension were higher in the smoking controls than in nonsmoking controls (all P < .05). In smoking patients, triglyceridemia, high-density lipoprotein cholesterol, and fasting blood glucose were the main contributing components to MetS, while in nonsmoking patients, waist circumference, systolic blood pressure, triglyceridemia, high-density lipoprotein cholesterol, and fasting blood glucose were the main contributing components to MetS. In smoking patients, BMI and homeostatic model assessment for insulin resistance were associated factors of MetS (both P < .05). In nonsmoking patients, sex, BMI, insulin, and homeostatic model assessment for insulin resistance were associated factors of MetS (all P < .05). CONCLUSIONS Our study indicates that smoking schizophrenia patients have a higher prevalence of MetS and metabolic disorders than nonsmoking patients. Moreover, smoking and nonsmoking patients have different contributing components and associated factors for MetS.
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Affiliation(s)
- Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuning Wang
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Yuping Chen
- Department of Neurosurgery, Shanghai Changhai Hospital, Shanghai, China
| | - Xi Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinjun Gu
- Jinshan Mental Health Center, Shanghai, China
| | - Xiaoe Lang
- Department of Psychiatry, The First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Fengchun Wu
- Department of Neurosurgery, Shanghai Changhai Hospital, Shanghai, China
- Correspondence: Fengchun Wu, Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China ()
| | - Xiang Yang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Xiang Yang Zhang, Institute of Psychology, Chinese Academy of Sciences, Beijing, China ()
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17
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Liu H, Zhu Y, Wu X, He K, Wang X, Sun P, Zhao J, Yao Y, Ren J, Mao R, Yang T, Yang L, Sun X, Jiang P, Zhang C, Fang Y. Comorbidity and Treatment in Older Psychiatric In-patients-A Retrospective Study in a Chinese Psychiatric Hospital. Front Psychiatry 2021; 12:722329. [PMID: 34764894 PMCID: PMC8575732 DOI: 10.3389/fpsyt.2021.722329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 09/07/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Comorbid somatic diseases increase the death risk and affect the condition, treatment, and prognosis of older psychiatric patients. We investigated the comorbidity and drug treatment in older patients with psychosis. Methods: This retrospective study used data from 3,115 older psychiatric in-patients hospitalized at the Shanghai Mental Health Center Affiliated to Shanghai Jiaotong University School of Medicine, China discharged from 2005 to 2015. Descriptive analyses of patients' age, sex, treatment drugs, diagnoses (based on ICD-10), and time trend were performed. Results: Patients' median age was 56 (range, 50-98) years; 1,824 (58.6%) were female. The top five first-level diagnoses were schizophrenia (F20) (n = 1,818, 58.3%), depressive episode (F32) (n = 457, 14.6%), bipolar affective disorder (F31) (n = 151, 4.8%), manic episode (F30), (n = 143, 4.6%), and vascular dementia (F01) (n = 136, 4.4%). Mental (99.9%), central nervous system (85.2%), digestive system (83.5%), cardiovascular system (72.5%), and anti-infective (59.6%) drugs had the highest prescription rates. The combined use of antidepressants, anti-anxiety, anti-arrhythmic, hormones and endocrine system drugs were significantly higher in female than in male patients, while mood stabilizers and genitourinary system drugs significantly more frequent in men. With increasing age, the F20-F29 patients decreased, while F00-F09 patients increased, with the corresponding changes to prescription in those patients. In comparison to that in 2005-2010, the combined prescriptions for genitourinary and cardiovascular drugs increased between 2011 and 2015, and F00-F09 and F40-F48 older patients doubled, accordingly anti-Alzheimer's disease drugs and antidepressants more than doubled. F30-F39 patients increased by 49.1%, and anti-anxiety drugs, mood stabilizers, etc. increased by ≥50%; F20-F29 older patients decreased by 26.7%, while antipsychotics only increased by 4.4%. Conclusions: This study found the combined drug treatment of somatic diseases, particularly for central nervous, digestive, cardiovascular, respiratory and genitourinary drugs were extremely common among older psychiatric in-patients in China. With increasing age, the F20-F29 patients decreased, while F00-F09 patients increased; the antipsychotics prescriptions decreased, and almost all comorbidity drugs increased. Compared with that in 2005-2010, the older patients with all diagnosis except F20-F29 increased in 2011-2015, and the prescriptions for psychotropic, genitourinary, and cardiovascular drugs increased.
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Affiliation(s)
- Hongmei Liu
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Laboratory of Biochemistry and Pharmacology, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuncheng Zhu
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, China
| | - Xiaohui Wu
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Kan He
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoxiao Wang
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Ping Sun
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Jie Zhao
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yamin Yao
- Department of Anatomy and Histology and Embryology, Kunming Medical University, Kunming, China
| | - Juanjuan Ren
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Laboratory of Biochemistry and Pharmacology, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Mao
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Tao Yang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lu Yang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Xiujia Sun
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Laboratory of Biochemistry and Pharmacology, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Laboratory of Biochemistry and Pharmacology, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Zhang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Laboratory of Biochemistry and Pharmacology, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiru Fang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Center for Excellence in Brain Science and Intelligence Technology, Academy of Sciences of China, Shanghai, China
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Zhang Q, He H, Bai X, Jiang L, Chen W, Zeng X, Li Y, Teixeira AL, Dai J. Unveiling the Metabolic Profile of First-Episode Drug-Naïve Schizophrenia Patients: Baseline Characteristics of a Longitudinal Study Among Han Chinese. Front Psychiatry 2021; 12:702720. [PMID: 34305687 PMCID: PMC8298856 DOI: 10.3389/fpsyt.2021.702720] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/15/2021] [Indexed: 11/24/2022] Open
Abstract
Objective: Metabolic and other medical conditions are frequently comorbid with schizophrenia. As they might be the side-effects of antipsychotic treatment, studying first-episode drug-naïve schizophrenia (FDSZ) provides a unique opportunity to investigate a direct pathogenic link between metabolic changes and schizophrenia. Here, we presented the methods and baseline unique metabolic profile of FDSZ patients without medical comorbidities unveiling subthreshold indices of metabolic disturbances. Method: Drug-naïve individuals diagnosed with schizophrenia but without any previous medical conditions were invited to participate in the study. Participants were submitted to structured psychiatric and cognitive assessments, laboratory and neuroimaging tests. Subjects will be followed after antipsychotic treatment at 6, 24 and 48 weeks. Results: During an 8-month-period, out of 103 patients presenting with first episode psychosis, 67 subjects (43.3% men, 56.7% women) were enrolled in the study. They had a mean ± SD age of 32.1 ± 8.7 years, with a mean BMI of 21.1 kg/m2 and 11.3 ± 3.6 years of schooling. Less than 1/3 reported a family history of mental illness. Upon laboratory assessment, 10.4%, 7.5%, and 11.9% of patients were identified with hyperhomocysteinemia, hypertriglyceridemia and hyperprolactinemia, respectively, with percentages of women relatively higher than men except for hypertriglyceridemia. Conclusions: First episode schizophrenia patients, especially women, present subclinical metabolic abnormalities, independent of antipsychotic treatment.
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Affiliation(s)
- Qi Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Hui He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Xia Bai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Liping Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Wei Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Xiaoying Zeng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China.,Neuropsychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yanjia Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China.,Neuropsychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | | | - Jing Dai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
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