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Zhu ZH, Yin XY, Cai Y, Jia NN, Wang PJ, Qi Q, Hou WL, Man LJ, Hui L. Association between the HHEX polymorphism and delayed memory in first-episode schizophrenic patients. Schizophr Res Cogn 2024; 36:100304. [PMID: 38444400 PMCID: PMC10912683 DOI: 10.1016/j.scog.2024.100304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/23/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
The hematopoietically-expressed homeobox gene (HHEX) played a critical role in regulating the immune system that the abnormality of which was involved in the psychopathology and cognitive deficits of psychiatric disorders. The aim of this study was to investigate the effect of HHEX rs1111875 polymorphism on the susceptibility and cognitive deficits of first-episode schizophrenic patients (FSP). We assessed cognitive function in 239 first-episode patients meeting DSM-IV for schizophrenia, and 368 healthy controls using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The HHEX rs1111875 polymorphism was genotyped. Our results showed that the allelic and genotypic frequencies of HHEX rs1111875 polymorphism didn't differ between FSP and healthy controls (both p > 0.05) after adjusting for sex and age. Cognitive test scores in FSP were significantly lower than those in healthy controls on all scales (all p < 0.001) except for the visuospatial/constructional score (p > 0.05) after adjusting for covariates. There was a significant genotype (p < 0.05) rather than genotype × diagnosis (p > 0.05) effect on the delayed memory score after adjusting for covariates. The HHEX rs1111875 polymorphism was significantly associated with the delayed memory score in FSP (p < 0.05), but not in healthy controls (p > 0.05) after adjusting for covariates. Our findings supported that the HHEX rs1111875 polymorphism did not contribute to the susceptibility to FSP. However, this polymorphism might influence the delayed memory in FSP. Moreover, FSP had poorer cognitive function than healthy controls except for the visuospatial/constructional domain.
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Affiliation(s)
| | | | | | - Ning Ning Jia
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Pei Jie Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Qi Qi
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Wen Long Hou
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Li Juan Man
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Li Hui
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu, PR China
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Cao HL, Meng YJ, Zhang YM, Deng W, Guo WJ, Li ML, Li T. The volume of gray matter mediates the relationship between glucolipid metabolism and neurocognition in first-episode, drug-naïve patients with schizophrenia. J Psychiatr Res 2024; 172:402-410. [PMID: 38458112 DOI: 10.1016/j.jpsychires.2024.02.055] [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: 10/31/2023] [Revised: 02/17/2024] [Accepted: 02/24/2024] [Indexed: 03/10/2024]
Abstract
We aimed to examine the hypotheses that glucolipid metabolism is linked to neurocognition and gray matter volume (GMV) and that GMV mediates the association of glucolipid metabolism with neurocognition in first-episode, drug-naïve (FEDN) patients with schizophrenia. Parameters of glucolipid metabolism, neurocognition, and magnetic resonance imaging were assessed in 63 patients and 31 controls. Compared to controls, patients exhibited higher levels of fasting glucose, triglyceride, and insulin resistance index, lower levels of cholesterol and high-density lipoprotein cholesterol, poorer neurocognitive functions, and decreased GMV in the bilateral insula, left middle occipital gyrus, and left postcentral gyrus. In the patient group, triglyceride levels and the insulin resistance index exhibited a negative correlation with Rapid Visual Information Processing (RVP) mean latency, a measure of attention within the Cambridge Neurocognitive Test Automated Battery (CANTAB), while showing a positive association with GMV in the right insula. The mediation model revealed that triglyceride and insulin resistance index had a significant positive indirect (mediated) influence on RVP mean latency through GMV in the right insula. Glucolipid metabolism was linked to both neurocognitive functions and GMV in FEDN patients with schizophrenia, with the effect pattern differing from that observed in chronic schizophrenia or schizophrenia comorbid with metabolic syndrome. Moreover, glucolipid metabolism might indirectly contribute to neurocognitive deficits through the mediating role of GMV in these patients.
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Affiliation(s)
- Hai-Ling Cao
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ya-Jing Meng
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ya-Min Zhang
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Deng
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wan-Jun Guo
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ming-Li Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, Hangzhou, 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China.
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3
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Cai B, Zhu Y, Liu D, Li Y, Bueber M, Yang X, Luo G, Su Y, Grivel MM, Yang LH, Qian M, Stone WS, Phillips MR. Use of the Chinese version of the MATRICS Consensus Cognitive Battery to assess cognitive functioning in individuals with high risk for psychosis, first-episode schizophrenia and chronic schizophrenia: a systematic review and meta-analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 45:101016. [PMID: 38699289 PMCID: PMC11064724 DOI: 10.1016/j.lanwpc.2024.101016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/18/2023] [Accepted: 01/10/2024] [Indexed: 05/05/2024]
Abstract
More than one hundred studies have used the mainland Chinese version of the MATRICS Consensus Cognitive Battery (MCCB) to assess cognition in schizophrenia, but the results of these studies, the quality of the reports, and the strength of the evidence provided in the reports have not been systematically assessed. We identified 114 studies from English-language and Chinese-language databases that used the Chinese MCCB to assess cognition in combined samples of 7394 healthy controls (HC), 392 individuals with clinical high risk for psychosis (CHR-P), 4922 with first-episode schizophrenia (FES), 1549 with chronic schizophrenia (CS), and 2925 with schizophrenia of unspecified duration. The mean difference (MD) of the composite MCCB T-score (-13.72) and T-scores of each of the seven cognitive domains assessed by MCCB (-14.27 to -7.92) were significantly lower in individuals with schizophrenia than in controls. Meta-analysis identified significantly greater cognitive impairment in FES and CS than in CHR-P in six of the seven domains and significantly greater impairment in CS than FES in the reasoning and problem-solving domain (i.e., executive functioning). The only significant covariate of overall cognitive functioning in individuals with schizophrenia was a negative association with the severity of psychotic symptoms. These results confirm the construct validity of the mainland Chinese version of MCCB. However, there were significant limitations in the strength of the evidence provided about CHR-P (small pooled sample sizes) and the social cognition domain (inconsistency of results across studies), and the quality of many reports (particularly those published in Chinese) was rated 'poor' due to failure to report sample size calculations, matching procedures or methods of handling missing data. Moreover, almost all studies were cross-sectional studies limited to persons under 60 with at least nine years of education, so longitudinal studies of under-educated, older individuals with schizophrenia are needed.
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Affiliation(s)
- Bing Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yikang Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dongyang Liu
- School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Yaxi Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Marlys Bueber
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuezhi Yang
- The Fifth People's Hospital, Nanning, Guangxi, China
| | - Guoshuai Luo
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Ying Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Margaux M. Grivel
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA
| | - Lawrence H. Yang
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Min Qian
- Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - William S. Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Michael R. Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
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Kwak PP, Ibarra C, Hernandez A, Carrasco J, Sears DD, Jeste D, Marquine MJ, Lee EE. Differences in metabolic biomarkers in people with schizophrenia who are of Mexican descent compared to non-Hispanic whites. Psychiatry Res 2024; 334:115788. [PMID: 38401486 DOI: 10.1016/j.psychres.2024.115788] [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: 06/27/2023] [Revised: 02/08/2024] [Accepted: 02/11/2024] [Indexed: 02/26/2024]
Abstract
Metabolic dysfunction is highly prevalent and contributes to premature mortality among people with schizophrenia (PwS), especially in Hispanic/Latino/a/x/e PwS, compared to non-Hispanic White (NHW) PwS. This study evaluated the relative contributions of Mexican descent and schizophrenia diagnosis to metabolic biomarker levels. This cross-sectional study included 115 PwS and 102 non-psychiatric comparison (NC) participants - English-speakers aged 26-66 years, 27% Mexican descent, and 52% women across both groups. Assessments included evaluations of BMI, psychopathology, and fasting metabolic biomarkers. We used ANOVA analyses to compare metabolic outcomes between diagnostic and ethnic subgroups, linear regression models to examine associations between Mexican descent and metabolic outcomes, and Spearman's correlations to examine relationships between metabolic outcomes and illness-related variables in PwS. Mexican PwS had higher hemoglobin A1c levels, insulin resistance, and body mass index than NHW PwS. Mexican descent was associated with higher hemoglobin A1c levels, insulin resistance, body mass index, and leptin levels, controlling for age, sex, depression, education, and smoking. Among Mexican PwS, worse negative symptoms were associated with greater insulin resistance. These findings support the possibility of ethnicity-based differences in metabolic dysregulation, though further investigation is warranted to create targeted health interventions for Hispanic PwS.
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Affiliation(s)
- Paulyn P Kwak
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Sam and Rose Stein Institute for Research on Aging, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Cynthia Ibarra
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Sam and Rose Stein Institute for Research on Aging, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Alexa Hernandez
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Sam and Rose Stein Institute for Research on Aging, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Jessica Carrasco
- Desert-Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA 92161, USA
| | - Dorothy D Sears
- Department of Medicine, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Department of Family Medicine, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; College of Health Solutions, Arizona State University, 550N 3rd St, Phoenix, AZ 85004, USA
| | - Dilip Jeste
- Sam and Rose Stein Institute for Research on Aging, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - María J Marquine
- Department of Medicine Geriatrics Division, Duke Center for the Study of Aging and Human Development, Duke University, 201 Trent Dr, Durham, NC 27710, USA; Department of Psychiatry and Behavioral Sciences, Duke Center for the Study of Aging and Human Development, Duke University, 201 Trent Dr, Durham, NC 27710, USA
| | - Ellen E Lee
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Sam and Rose Stein Institute for Research on Aging, 9500 Gilman Dr., La Jolla, CA 92093, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA 92161, USA.
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5
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Huang TY, Chen LC, Li XP, Li WH, Xu SX, Nagy C, Ibrahim P, Nie ZW, Yang NY, Zeng L, Huang HW, Turecki G, Xie XH. Elevated triglycerides and low triiodothyronine: Key risk factors for coronary artery calcification in patients with schizophrenia. Schizophr Res 2024; 264:113-121. [PMID: 38128342 DOI: 10.1016/j.schres.2023.12.007] [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: 04/29/2023] [Revised: 11/04/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE Coronary artery calcification (CAC) is a well-established independent predictor of coronary heart disease, and patients with schizophrenia have significantly higher rates compared to the general population. We performed this study to examine the population-specific risk factors associated with CAC in patients with schizophrenia. METHODS In this cross-sectional study, patients with schizophrenia who underwent low-dose chest CT scans between January 2020 and December 2021 were analyzed. Ordinary CAC scores and results of routine blood tests were obtained. Logistic regression was used to calculate the odds ratio (OR) for potential risk factors in patients with and without CAC, while the negative binomial additive model was used to explore the dose-response relationship between risk factors and CAC score. RESULTS Of the 916 patients, 233 (25.4 %) had CAC, while 683 (74.6 %) did not. After adjusting for confounding factors, higher triglyceride levels (OR = 1.20, 95 % confidence interval (CI): 1.04 to 1.38, p = 0.013) and low triiodothyronine levels (OR = 0.50, 95 % CI: 0.29 to 0.84; p = 0.010) were identified as risk factors for CAC. Both triglycerides (p = 0.021) and triiodothyronine (p = 0.010) were also found to have significant dose-response relationships with CAC scores according to the negative binomial additive model in the exploratory analysis. CONCLUSIONS This study highlights elevated serum triglycerides and decreased triiodothyronine levels as population-specific risk factors for CAC in patients with schizophrenia, suggest the need for close monitoring of CAC in patients with schizophrenia and further prospective trials to provide additional evidence on this topic.
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Affiliation(s)
- Tan-Yu Huang
- Department of Radiology, Second People's Hospital of Huizhou, Huizhou, China
| | - Li-Chang Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Ping Li
- Department of Psychiatry, Second People's Hospital of Huizhou, Huizhou, China
| | - Wu-Hao Li
- Department of Radiology, Second People's Hospital of Huizhou, Huizhou, China
| | - Shu-Xian Xu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Corina Nagy
- Department of Psychiatry, McGill University, Montreal, QC, Canada; McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Pascal Ibrahim
- Department of Psychiatry, McGill University, Montreal, QC, Canada; McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Zhao-Wen Nie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Nai-Yan Yang
- Department of Psychiatry, Second People's Hospital of Huizhou, Huizhou, China
| | - Lun Zeng
- Department of Psychiatry, Second People's Hospital of Huizhou, Huizhou, China
| | - Hua-Wei Huang
- Department of Psychiatry, Second People's Hospital of Huizhou, Huizhou, China
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, QC, Canada; McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Xin-Hui Xie
- Brain Function and Psychosomatic Medicine Institute, Second People's Hospital of Huizhou, Huizhou, China; Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
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6
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Lee J, Xue X, Au E, McIntyre WB, Asgariroozbehani R, Panganiban K, Tseng GC, Papoulias M, Smith E, Monteiro J, Shah D, Maksyutynska K, Cavalier S, Radoncic E, Prasad F, Agarwal SM, Mccullumsmith R, Freyberg Z, Logan RW, Hahn MK. Glucose dysregulation in antipsychotic-naive first-episode psychosis: in silico exploration of gene expression signatures. Transl Psychiatry 2024; 14:19. [PMID: 38199991 PMCID: PMC10781725 DOI: 10.1038/s41398-023-02716-8] [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: 11/23/2022] [Revised: 12/10/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
Antipsychotic (AP)-naive first-episode psychosis (FEP) patients display early dysglycemia, including insulin resistance and prediabetes. Metabolic dysregulation may therefore be intrinsic to psychosis spectrum disorders (PSDs), independent of the metabolic effects of APs. However, the potential biological pathways that overlap between PSDs and dysglycemic states remain to be identified. Using meta-analytic approaches of transcriptomic datasets, we investigated whether AP-naive FEP patients share overlapping gene expression signatures with non-psychiatrically ill early dysglycemia individuals. We meta-analyzed peripheral transcriptomic datasets of AP-naive FEP patients and non-psychiatrically ill early dysglycemia subjects to identify common gene expression signatures. Common signatures underwent pathway enrichment analysis and were then used to identify potential new pharmacological compounds via Integrative Library of Integrated Network-Based Cellular Signatures (iLINCS). Our search results yielded 5 AP-naive FEP studies and 4 early dysglycemia studies which met inclusion criteria. We discovered that AP-naive FEP and non-psychiatrically ill subjects exhibiting early dysglycemia shared 221 common signatures, which were enriched for pathways related to endoplasmic reticulum stress and abnormal brain energetics. Nine FDA-approved drugs were identified as potential drug treatments, of which the antidiabetic metformin, the first-line treatment for type 2 diabetes, has evidence to attenuate metabolic dysfunction in PSDs. Taken together, our findings support shared gene expression changes and biological pathways associating PSDs with dysglycemic disorders. These data suggest that the pathobiology of PSDs overlaps and potentially contributes to dysglycemia. Finally, we find that metformin may be a potential treatment for early metabolic dysfunction intrinsic to PSDs.
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Grants
- R01 DK124219 NIDDK NIH HHS
- R01 HL150432 NHLBI NIH HHS
- R01 MH107487 NIMH NIH HHS
- R01 MH121102 NIMH NIH HHS
- Holds the Meighen Family Chair in Psychosis Prevention, the Cardy Schizophrenia Research Chair, a Danish Diabetes Academy Professorship, a Steno Diabetes Center Fellowship, and a U of T Academic Scholar Award, and is funded by operating grants from the Canadian Institutes of Health Research (CIHR), the Banting and Best Diabetes Center, the Miners Lamp U of T award, CIHR and Canadian Psychiatric Association Glenda MacQueen Memorial Award, and the PSI Foundation.
- Hilda and William Courtney Clayton Paediatric Research Fund and Dr. LG Rao/Industrial Partners Graduate Student Award from the University of Toronto, and Meighen Family Chair in Psychosis Prevention
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- UofT | Banting and Best Diabetes Centre, University of Toronto (BBDC)
- Canadian Institutes of Health Research (CIHR) Canada Graduate Scholarship-Master’s program
- Cleghorn Award
- University of Toronto (UofT)
- Centre for Addiction and Mental Health (Centre de Toxicomanie et de Santé Mentale)
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases)
- U.S. Department of Defense (United States Department of Defense)
- Commonwealth of Pennsylvania Formula Fund, The Pittsburgh Foundation
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Affiliation(s)
- Jiwon Lee
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Xiangning Xue
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emily Au
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - William B McIntyre
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Roshanak Asgariroozbehani
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Kristoffer Panganiban
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - George C Tseng
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Emily Smith
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Divia Shah
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kateryna Maksyutynska
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Samantha Cavalier
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emril Radoncic
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Femin Prasad
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert Mccullumsmith
- Department of Neurosciences, University of Toledo, Toledo, OH, USA
- ProMedica, Toledo, OH, USA
| | - Zachary Freyberg
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ryan W Logan
- Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, USA
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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7
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John AP, Mya T, Haywood D. Cognitive deficits among people with schizophrenia and prediabetes or diabetes. Acta Psychiatr Scand 2024; 149:65-76. [PMID: 37950362 DOI: 10.1111/acps.13627] [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: 08/10/2023] [Revised: 10/02/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Both type 2 diabetes mellitus (T2DM) and schizophrenia are known to be associated with cognitive deficits. The impact of the comorbidities of T2DM or prediabetes (PD) on cognition among people with schizophrenia has been poorly researched. We evaluated the cognitive functioning of patients with schizophrenia and PD or T2DM and compared them to patients with schizophrenia with normal blood sugar. METHODS We retrospectively collated data on cognition, fasting blood glucose (FBG), lipids and other selected demographic and clinical variables of 171 patients with schizophrenia and 16 patients with schizoaffective disorder who were admitted to an inpatient rehabilitation facility in Western Australia from 2011 to 2018. The Brief Assessment of Cognition in Schizophrenia (BACS) was used to evaluate cognitive functioning. Parametric and non-parametric analyses were used to examine the study's aims. RESULTS Sixty-six percent of the patients had normal blood sugar, 25% had PD and 9% had T2DM. The BACS composite score revealed an increasing gradient of cognitive deficits, ranging from mild to severe, between the normal, PD and T2DM groups, respectively. The T2DM group had a significantly lower composite score compared with the PD (p = 0.026) and normal groups (p < 0.001). On the BACS subtests, the scores of T2DM and PD patients were similar except for the token motor task, in which the T2DM group had significantly lower scores (p < 0.001). The T2DM group also had lower scores on the subtests of BACS, except memory tests, compared with those with normal blood sugar. There was no significant difference in the composite and subtest cognitive scores between the PD and normal groups. CONCLUSIONS Our study revealed more pronounced cognitive deficits among patients with schizophrenia and dysglycaemia, particularly those with T2DM, compared with those with schizophrenia with normal blood sugar.
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Affiliation(s)
| | - Thynn Mya
- University of Western Australia, Perth, Australia
| | - Darren Haywood
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Department of Mental Health, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, New South Wales, Australia
- Department of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
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8
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Lee J, Xue X, Au E, McIntyre WB, Asgariroozbehani R, Tseng GC, Papoulias M, Panganiban K, Agarwal SM, Mccullumsmith R, Freyberg Z, Logan RW, Hahn MK. Central insulin dysregulation in antipsychotic-naïve first-episode psychosis: In silico exploration of gene expression signatures. Psychiatry Res 2024; 331:115636. [PMID: 38104424 PMCID: PMC10984627 DOI: 10.1016/j.psychres.2023.115636] [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: 08/24/2023] [Revised: 10/18/2023] [Accepted: 11/25/2023] [Indexed: 12/19/2023]
Abstract
Antipsychotic drug (AP)-naïve first-episode psychosis (FEP) patients display premorbid cognitive dysfunctions and dysglycemia. Brain insulin resistance may link metabolic and cognitive disorders in humans. This suggests that central insulin dysregulation represents a component of the pathophysiology of psychosis spectrum disorders (PSDs). Nonetheless, the links between central insulin dysregulation, dysglycemia, and cognitive deficits in PSDs are poorly understood. We investigated whether AP-naïve FEP patients share overlapping brain gene expression signatures with central insulin perturbation (CIP) in rodent models. We systematically compiled and meta-analyzed peripheral transcriptomic datasets of AP-naïve FEP patients along with hypothalamic and hippocampal datasets of CIP rodent models to identify common transcriptomic signatures. The common signatures were used for pathway analysis and to identify potential drug treatments with discordant (reverse) signatures. AP-naïve FEP and CIP (hypothalamus and hippocampus) shared 111 and 346 common signatures respectively, which were associated with pathways related to inflammation, endoplasmic reticulum stress, and neuroplasticity. Twenty-two potential drug treatments were identified, including antidiabetic agents. The pathobiology of PSDs may include central insulin dysregulation, which contribute to dysglycemia and cognitive dysfunction independently of AP treatment. The identified treatments may be tested in early psychosis patients to determine if dysglycemia and cognitive deficits can be mitigated.
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Affiliation(s)
- Jiwon Lee
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Xiangning Xue
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
| | - Emily Au
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.
| | - William B McIntyre
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
| | - Roshanak Asgariroozbehani
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - George C Tseng
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
| | - Maria Papoulias
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Kristoffer Panganiban
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
| | - Robert Mccullumsmith
- Department of Neurosciences, University of Toledo, Toledo, Ohio, United States; ProMedica, Toledo, Ohio, United States.
| | - Zachary Freyberg
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, United States; Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
| | - Ryan W Logan
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States; Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States.
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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9
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Wang D, Xia L, Zhang Z, Guo J, Tian Y, Zhou H, Xiu M, Chen D, Zhang XY. Association of P50 with social function, but not with cognition in patients with first-episode schizophrenia. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01711-w. [PMID: 37966511 DOI: 10.1007/s00406-023-01711-w] [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: 03/29/2023] [Accepted: 10/15/2023] [Indexed: 11/16/2023]
Abstract
Functional deficits including cognitive impairment and social dysfunction are the core symptoms of schizophrenia (SCZ), and sensory gating (SG) deficits may be involved in the pathological mechanism of functional deficits in SCZ. This study was to investigate the relationship between defective P50 inhibition and functional deficits in first-episode drug naïve (FEDN) SCZ patients. A total of 95 FEDN SCZ patients and 53 healthy controls (HC) were recruited. The Chinese version of UCSD Performance-Based Skills (UPSA), MATRICS Consensus Cognitive Battery (MCCB), and EEG system were used to assess the social function, cognitive performance, and P50 inhibition, respectively. The MCCB total score and eight domain scores were significantly lower in patients with FEDN SCZ than those in HC (all p < 0.05). The UPSA total score and financial skills scores were also significantly lower in SCZ patients than that in the HC (all p < 0.05). Compared with HC, patients with FEDF SCZ had a higher P50 ratio (all p < 0.05). There was no correlation between P50 components and MCCB scores in patients with FEDF SCZ. However, there was only a correlation between the P50 ratio and UPSA financial skills, communication skills, or total score in patients (all p < 0.05). Defective P50 inhibition in FEDN SCZ patients may be associated with social dysfunction but not cognitive impairment, suggesting that the social dysfunction and cognitive impairment of patients with FEDN SCZ may have different pathogenic mechanisms.
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Affiliation(s)
- Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Luyao Xia
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiqi Zhang
- Department of Psychology, Barnard College of Columbia University, New York, NY, USA
| | - Junru Guo
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, Guizhou Minzu University, Guiyang, China
| | - Yang Tian
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Huixia Zhou
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Dachun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Smith ECC, Au E, Pereira S, Sharma E, Venkatasubramanian G, Remington G, Agarwal SM, Hahn M. Clinical improvement in schizophrenia during antipsychotic treatment in relation to changes in glucose parameters: A systematic review. Psychiatry Res 2023; 328:115472. [PMID: 37722239 DOI: 10.1016/j.psychres.2023.115472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 09/20/2023]
Abstract
Antipsychotics (APs) are the cornerstone of treatment for schizophrenia (SCZ) spectrum disorders. Previous research suggests that there may be a positive association between AP-induced weight gain and/or dyslipidemia and improvement in psychiatric symptoms, often referred to as a "metabolic threshold". To determine whether a similar relationship exists for glucose parameters, we conducted a systematic search in six databases from inception to June 2022 for all longitudinal studies that directly examined the relationship between changes in glucose-related outcomes and changes in psychopathology among patients with SCZ treated with APs. We identified 10 relevant studies and one additional study that considered cognition. In most cases, we found that increased levels of fasting glucose and insulin following treatment were associated with clinical improvement. These findings contribute to existing literature that could suggest a common mechanism between AP action and metabolic side effects and support a need for additional work aimed at exploring the validity of a glucose-psychopathology relation in SCZ.
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Affiliation(s)
- Emily Chen Chen Smith
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Institute of Medical Sciences, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada
| | - Emily Au
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Department of Pharmacology, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 4207, Toronto, ON, Canada
| | - Sandra Pereira
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Department of Physiology, University of Toronto, 1 King's College Circle, Medical Sciences Building, 3rd floor, Toronto, ON M5S 1A8, Canada
| | - Eesha Sharma
- National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore - 560029, Karnataka, India
| | | | - Gary Remington
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Institute of Medical Sciences, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON M5T 1R8, Canada
| | - Sri Mahavir Agarwal
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Institute of Medical Sciences, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON M5T 1R8, Canada; Banting and Best Diabetes Centre, University of Toronto, 200 Elizabeth Street, Eaton Building, 12th Floor, Room 12E248, Toronto, ON M5G 2C4, Canada
| | - Margaret Hahn
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen St. W, Toronto, ON M6J 1H3, Canada; Institute of Medical Sciences, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON M5T 1R8, Canada; Banting and Best Diabetes Centre, University of Toronto, 200 Elizabeth Street, Eaton Building, 12th Floor, Room 12E248, Toronto, ON M5G 2C4, Canada.
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11
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [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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12
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Protsenko M, Kerkelä M, Miettunen J, Auvinen J, Järvelin MR, Jones PB, Gissler M, Veijola J. Body mass index in the middle-aged offspring of parents with severe mental illness. Psychol Med 2023; 53:3621-3627. [PMID: 35232502 PMCID: PMC10277759 DOI: 10.1017/s0033291722000253] [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: 03/15/2021] [Revised: 10/15/2021] [Accepted: 01/17/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND People with severe mental illness (SMI) have an elevated risk of obesity but the causes and mechanisms are unclear. We explored the familial association between parental SMI and body mass index (BMI) in middle-aged offspring. Our objective was to determine if the offspring of either parent with SMI have an increased risk for obesity. METHODS The Northern Finland Birth Cohort 1966 is a cohort study of offspring with expected date of birth in 1966. The data include originally 12 068 mothers and 12 231 children from the provinces of Lapland and Oulu in Finland. The final study sample included 5050 middle-aged offspring. Parental SMI was used as exposure in the study. BMI measured at the age of 46 years was used as a primary outcome. RESULTS Risk for obesity was elevated in the offspring of mothers with SMI [overweight: adjusted odds ratio (OR) 1.93 (1.29-2.90), obese class I: 1.97 (1.20-3.25), obese classes II-III: 2.98 (1.67-5.33)]. For the offspring of either parent with SMI, statistically significant results were found in obese class I and obese classes II-III [overweight: adjusted OR 1.21 (0.94-1.54), obese class I: 1.52 (1.03-1.08), obese classes II-III: 1.53 (1.01-2.32)]. CONCLUSIONS We found an elevated risk of obesity in the middle-aged offspring of either parent with SMI, especially in the offspring of mothers with SMI. Thus, there might be a common familial pathway leading to the co-occurrence of obesity and SMI.
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Affiliation(s)
- Maria Protsenko
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Mika Gissler
- THL, Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland
- Region Stockholm, Academic Primary Health Care Centre, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
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13
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Shnayder NA, Grechkina VV, Trefilova VV, Efremov IS, Dontceva EA, Narodova EA, Petrova MM, Soloveva IA, Tepnadze LE, Reznichenko PA, Al-Zamil M, Altynbekova GI, Strelnik AI, Nasyrova RF. Valproate-Induced Metabolic Syndrome. Biomedicines 2023; 11:biomedicines11051499. [PMID: 37239168 DOI: 10.3390/biomedicines11051499] [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: 05/03/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
Valproic acid (VPA) and its salts (sodium calcium magnesium and orotic) are psychotropic drugs that are widely used in neurology and psychiatry. The long-term use of VPA increases the risk of developing adverse drug reactions (ADRs), among which metabolic syndrome (MetS) plays a special role. MetS belongs to a cluster of metabolic conditions such as abdominal obesity, high blood pressure, high blood glucose, high serum triglycerides, and low serum high-density lipoprotein. Valproate-induced MetS (VPA-MetS) is a common ADR that needs an updated multidisciplinary approach to its prevention and diagnosis. In this review, we consider the results of studies of blood (serum and plasma) and the urinary biomarkers of VPA-MetS. These metabolic biomarkers may provide the key to the development of a new multidisciplinary personalized strategy for the prevention and diagnosis of VPA-MetS in patients with neurological diseases, psychiatric disorders, and addiction diseases.
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Affiliation(s)
- Natalia A Shnayder
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Violetta V Grechkina
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
| | - Vera V Trefilova
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- Department of Neurology, Hospital for War Veterans, 193079 Saint Petersburg, Russia
| | - Ilya S Efremov
- Department of Psychiatry and Narcology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Evgenia A Dontceva
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
- Federal Centre for Neurosurgery, 630087 Novosibirsk, Russia
| | - Ekaterina A Narodova
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Marina M Petrova
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Irina A Soloveva
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Liia E Tepnadze
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Polina A Reznichenko
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Mustafa Al-Zamil
- Department of Physiotherapy, Faculty of Continuing Medical Education, Peoples' Friendship University of Russia, 117198 Moscow, Russia
| | - Gulnara I Altynbekova
- Department of Psychiatry and Narcology, S.D. Asfendiarov Kazakh National Medical University, Almaty 050022, Kazakhstan
| | - Anna I Strelnik
- International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, 443016 Samara, Russia
| | - Regina F Nasyrova
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, 443016 Samara, Russia
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14
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Sayed SE, Gomaa S, Alhazmi A, ElKalla I, Khalil D. Metabolic profile in first episode drug naïve patients with psychosis and its relation to cognitive functions and social cognition: a case control study. Sci Rep 2023; 13:5435. [PMID: 37012300 PMCID: PMC10070352 DOI: 10.1038/s41598-023-31829-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
1st episode drug naïve patients with psychosis might be at higher risk for cardiometabolic disturbances which could affect the different cognitive, and executive functions and domains of social cognition. This study aimed to study the metabolic parameters in 1st episode drug naïve patients with psychosis, to evaluate the relation of these cardiometabolic domains to the cognitive, executive functions, and social cognition. Socio-demographic characteristics of 150 first episode drug naïve patients with psychosis and 120 matched healthy control groups were collected. The current study also assessed the cardiometabolic profile and cognitive functions in both groups. Social cognition was examined by Edinburgh Social Cognition Test. The study revealed a statistically significant difference in parameters of metabolic profile among the studied groups (p < 0.001*), the scores of cognitive and executive tests were statistically significantly different (p < 0.001*). In addition, the patient's group has lowered scores of domains of social cognition (p < 0.001*). Also, the mean affective theory of mind was negatively correlated with the conflict cost of the Flanker test (r = -.185* p value = .023). The total cholesterol level (r = - 0.241**, p value = .003) and level of triglycerides (r = - 0.241**, p value = 0.003) were negatively correlated with the interpersonal domain of social cognition, the total cholesterol level is positively correlated to the total score of social cognition (r = 0.202*, p value = 0.013). Patients with 1st episode drug naïve psychosis showed disturbed cardiometabolic parameters which have deleterious effects on cognitive functions and social cognition.
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Affiliation(s)
- Samir El Sayed
- Department of Psychiatry, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia.
| | - Sarah Gomaa
- Mansoura University Students' Hospital, Mansoura University, Mansoura, Egypt
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia
| | - Alaa Alhazmi
- Department of Psychiatry, Hayat National Hospital, Riyadh, Kingdom of Saudi Arabia
| | | | - Dalia Khalil
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia
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15
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Zhu J, Wu J, Liu X, Ma J. Relationship between efficacy and common metabolic parameters in first-treatment drug-naïve patients with early non-response schizophrenia: a retrospective study. Ann Gen Psychiatry 2023; 22:6. [PMID: 36800967 PMCID: PMC9936715 DOI: 10.1186/s12991-023-00436-3] [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: 11/30/2022] [Accepted: 02/12/2023] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND Comorbid metabolic disorders in patients with schizophrenia are very common. Patients with schizophrenia who respond to therapy early are often strongly predictive of better treatment outcomes. However, the differences in short-term metabolic markers between early responders and early non-responders in schizophrenia are unclear. METHODS 143 first-treatment drug-naïve schizophrenia patients were included in this study and were given a single antipsychotic medication for 6 weeks after admission. After 2 weeks, the sample was divided into an early response group and an early non-response group based on psychopathological changes. For the study endpoints, we depicted the change curves of psychopathology in both subgroups and compared the differences between the two groups in terms of remission rates and multiple metabolic parameters. RESULTS The early non-response had 73 cases (51.05%) in the 2nd week. In the 6th week, the remission rate was significantly higher in the early response group than in the early non-response group (30,42.86% vs. 8,10.96%); the body weight, body mass index, blood creatinine, blood uric acid, total cholesterol, triglyceride, low-density lipoprotein, fasting blood glucose, and prolactin of the enrolled samples were significantly increased, and high-density lipoprotein was significantly decreased. ANOVAs revealed a significant effect of treatment time on abdominal circumference, blood uric acid, total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, fasting blood glucose and prolactin, and a significant negative effect of early non-response to treatment on abdominal circumference, blood creatinine, triglyceride, fasting blood glucose. CONCLUSIONS Schizophrenia patients with early non-response had lower rates of short-term remission and more extensive and severe abnormal metabolic indicators. In clinical practice, patients with early non-response should be given a targeted management strategy, antipsychotic drugs should be switched on time, and active and effective interventions for their metabolic disorders should be given.
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Affiliation(s)
- Junhong Zhu
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China.,Wuhan Hospital for Psychotherapy, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China
| | - Jiajia Wu
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China.,Wuhan Hospital for Psychotherapy, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China
| | - Xuebing Liu
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China. .,Wuhan Hospital for Psychotherapy, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China.
| | - Jun Ma
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China. .,Wuhan Hospital for Psychotherapy, No. 89, Gongnongbing Road, Jiang'an District, Wuhan, Hubei, China.
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Protsenko M, Kerkelä M, Miettunen J, Auvinen J, Järvelin MR, Jones PB, Gissler M, Veijola J. Insulin resistance and lipid levels in the middle-aged offspring of parents with severe mental illness. Schizophr Res 2023; 252:271-278. [PMID: 36696701 DOI: 10.1016/j.schres.2023.01.013] [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: 07/04/2022] [Revised: 11/28/2022] [Accepted: 01/07/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Type 2 diabetes and dyslipidemias co-occur frequently with severe mental illnesses (SMI). However, less is known about serum insulin and lipid levels and prevalence of Insulin Resistance (IR) in offspring with familial risk for SMI. METHOD The Northern Finland Birth Cohort 1966 consists of 12,068 mothers, 11,068 fathers, and 12,231 children from the two northernmost provinces in Finland. At age 46 they participated in clinical examination including measurements of glucose, lipids, and IR and answered a questionnaire including information about their nutrition and physical activity. The information on parental SMI was obtained from the Hospital Discharge Register. Parents with SMI were those who had been treated in hospital for any psychiatric disorder during 1969-1982 (ICD-8 codes 290-315). The final study group included 334 (7.3 %) offspring who had a parent with SMI and 4249 (92.7 %) offspring in the comparison group. RESULTS We did not find increased risk for disturbances in lipid levels, insulin levels, or IR levels between the study group (offspring of either parent with SMI) compared with the comparison group. All offspring, especially female offspring of either parent with SMI, had an increased risk for higher glucose levels and waist circumference. The results remained the same after excluding offspring with SMI. CONCLUSION Our findings suggest that offspring of parents with SMI, especially female offspring, have partly increased risk for disturbances in cardiometabolic risk factors. Disturbances in glucose metabolism may have an effect via familial risk of severe mental illness.
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Affiliation(s)
- Maria Protsenko
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland.
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland
| | - Jouko Miettunen
- Research Unit of Population Health, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland
| | - Juha Auvinen
- Research Unit of Population Health, University of Oulu, Finland
| | | | - Peter B Jones
- Department of Psychiatry, University of Cambridge, UK
| | - Mika Gissler
- THL, Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland; University of Turku, Research Centre for Child Psychiatry, Turku, Finland; Karolinska Institute, Department of Molecular Medicine and Surgery, Stockholm, Sweden
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Psychiatry, University Hospital of Oulu, Finland
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Li S, Chen D, Xiu M, Li J, Zhang XY. Prevalence and clinical correlates of impaired glucose tolerance in first-episode versus chronic patients with schizophrenia. Early Interv Psychiatry 2022; 16:985-993. [PMID: 34743408 DOI: 10.1111/eip.13240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/26/2021] [Accepted: 10/19/2021] [Indexed: 11/30/2022]
Abstract
AIM Studies using oral glucose tolerance tests (OGTT) have shown that impaired glucose metabolism presents in the early stages of schizophrenia (SCZ). However, there is a lack of studies on changes in glucose metabolism with the stage of the disease. We first explored the features of glucose metabolic pattern at different phases of male SCZ. METHODS We recruited 83 male first episode drug-naïve patients with SCZ (FEDN-SCZ) and 64 male chronic patients with SCZ (CH-SCZ), as well as 14 male healthy controls. The Positive and Negative Syndrome Scale (PANSS) was used to assess the psychopathology of patients. OGTT, fasting plasma glucose and lipid profiles of all participants were examined. RESULTS While the impaired glucose tolerance (IGT) rate of male SCZ patients was higher than that of HC (P < .05), there was no difference in IGT prevalence between FEDN-SCZ and CH-SCZ. In male FEDN-SCZ, LDL (OR = 2.64, 95% CI = 1.11-6.29, P = .028) and PANSS total score (OR = 1.03, 95% CI = 1.00-1.06, P = .046) were positively correlated with IGT; in male CH-SCZ, BMI (OR = 1.7, 95% CI = 1.08-2.67, P = .023), PANSS total score (OR = 0.82, 95% CI = 0.70-0.96, P = .015) and positive symptoms (OR = 0.45, 95% CI = 0.20-0.99, P = .046) were significantly correlated with IGT. CONCLUSIONS Our findings reflect different glucose metabolism patterns in different stages of SCZ.
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Affiliation(s)
- Shen Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.,Department of Psychiatry, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Dachun Chen
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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18
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Foiselle M, Barbosa S, Godin O, Wu CL, Boukouaci W, Andre M, Aouizerate B, Berna F, Barau C, Capdevielle D, Vidailhet P, Chereau I, Davidovic L, Dorey JM, Dubertret C, Dubreucq J, Faget C, Fond G, Leigner S, Llorca PM, Mallet J, Misdrahi D, Martinuzzi E, Passerieux C, Rey R, Pignon B, Urbach M, Schürhoff F, Glaichenhaus N, Leboyer M, Tamouza R. Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort. Brain Behav Immun Health 2022; 22:100436. [PMID: 35469211 PMCID: PMC9034311 DOI: 10.1016/j.bbih.2022.100436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.
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Affiliation(s)
- Marianne Foiselle
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Susana Barbosa
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Ophélia Godin
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Ching-Lien Wu
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Wahid Boukouaci
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Myrtille Andre
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, France
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, F-33076, France
- INRAE, NutriNeuro, University of Bordeaux, U1286, Bordeaux, F-33076, France
| | - Fabrice Berna
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Caroline Barau
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Delphine Capdevielle
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Pierre Vidailhet
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Isabelle Chereau
- Fondation FondaMental, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Laetitia Davidovic
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Jean-Michel Dorey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Caroline Dubertret
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - Julien Dubreucq
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Catherine Faget
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Guillaume Fond
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Sylvain Leigner
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, France
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Jasmina Mallet
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - David Misdrahi
- Fondation FondaMental, France
- Department of Adult Psychiatry, Charles Perrens Hospital, Bordeaux, France
- University of Bordeaux, CNRS UMR 5287-INCIA « Neuroimagerie et cognition humaine », France
| | - Emanuela Martinuzzi
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Christine Passerieux
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Romain Rey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Baptiste Pignon
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Mathieu Urbach
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Franck Schürhoff
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Nicolas Glaichenhaus
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - Ryad Tamouza
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - the FACE-SZ (FondaMental Academic Centers of Expertise for Schizophrenia) GroupsBernaF.sHaffenE.sLeboyerM.sLlorcaP.M.sSchürhoffF.sBarteauV.tBensalemS.tGodinO.tLaouamriH.tSouryisK.tLeboyerM.uvOfferlin-MeyerI.uvPignonB.uvSchürhoffF.uvSzökeA.uvAouizerateB.wxDelogeA.wyMisdrahiD.wyVilàE.wyBlancO.zChéreauI.zDenizotH.zHonciucR.M.zLacelleD.zLlorcaP.M.zPiresS.zDubertretC.aaMalletJ.aaPortalierC.aaDubreucqJ.abFluttazC.abGabayetF.abRomanC.abChesnoy-ServaninG.acD'AmatoT.acDoreyJ.M.acReyR.acVehierA.acLançonC.adFagetC.adMetairieE.adPeriP.adVaillantF.adBoyerL.aeafFondG.aeafBernaF.agVidailhetP.agZinetti-BertschyA.agCapdevielleD.ahYazbekH.ahEsselinS.aiajakJarroirM.aiajakPasserieuxC.aiajakUrbachM.aiajakFACE-SZ Clinical Coordinating Center (Fondation FondaMental), FranceFACE-SZ Data Coordinating Center (Fondation FondaMental), FranceFACE-SZ Clinical Sites and Principal Collaborators in France, FranceAP-HP, INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d’Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94000, Créteil, FranceDepartment of Adult Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, FranceLaboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, FranceUniversity of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, FranceCHU Clermont-Ferrand, Department of Psychiatry (service de psychatrie B), University of Clermont Auvergne, Clermont-Ferrand, FranceAP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm UMR1266, Institute of Psychiatry and Neurosciences of Paris, University Paris Descartes, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, FrancePsychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, FranceUniversity Claude Bernard Lyon 1, Le Vinatier Hospital Pole Est BP 300 39, 95 bd Pinel, 69678, Bron Cedex, FranceDepartment of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, FranceAP-HM, la Conception Hospital, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279, FranceCEReSS - Health Service Research, FranceStrasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, FranceUniversity Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, FranceDepartment of Adult Psychiatry, Versailles Hospital, Le Chesnay, FranceHandiRESP and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, FranceFrance Laboratory, EA4047, UFR Health Sciences Simone Veil, Université de Versailles Saint-Quentin-En-Yvelines, Montigny-le-Bretonneux, France
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Goh KK, Chen CYA, Wu TH, Chen CH, Lu ML. Crosstalk between Schizophrenia and Metabolic Syndrome: The Role of Oxytocinergic Dysfunction. Int J Mol Sci 2022; 23:ijms23137092. [PMID: 35806096 PMCID: PMC9266532 DOI: 10.3390/ijms23137092] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/23/2022] [Accepted: 06/23/2022] [Indexed: 02/01/2023] Open
Abstract
The high prevalence of metabolic syndrome in persons with schizophrenia has spurred investigational efforts to study the mechanism beneath its pathophysiology. Early psychosis dysfunction is present across multiple organ systems. On this account, schizophrenia may be a multisystem disorder in which one organ system is predominantly affected and where other organ systems are also concurrently involved. Growing evidence of the overlapping neurobiological profiles of metabolic risk factors and psychiatric symptoms, such as an association with cognitive dysfunction, altered autonomic nervous system regulation, desynchrony in the resting-state default mode network, and shared genetic liability, suggest that metabolic syndrome and schizophrenia are connected via common pathways that are central to schizophrenia pathogenesis, which may be underpinned by oxytocin system dysfunction. Oxytocin, a hormone that involves in the mechanisms of food intake and metabolic homeostasis, may partly explain this piece of the puzzle in the mechanism underlying this association. Given its prosocial and anorexigenic properties, oxytocin has been administered intranasally to investigate its therapeutic potential in schizophrenia and obesity. Although the pathophysiology and mechanisms of oxytocinergic dysfunction in metabolic syndrome and schizophrenia are both complex and it is still too early to draw a conclusion upon, oxytocinergic dysfunction may yield a new mechanistic insight into schizophrenia pathogenesis and treatment.
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Affiliation(s)
- Kah Kheng Goh
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; (K.K.G.); (C.Y.-A.C.); (C.-H.C.)
- Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan;
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Cynthia Yi-An Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; (K.K.G.); (C.Y.-A.C.); (C.-H.C.)
- Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan;
| | - Tzu-Hua Wu
- Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan;
- Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei 110, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; (K.K.G.); (C.Y.-A.C.); (C.-H.C.)
- Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan;
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; (K.K.G.); (C.Y.-A.C.); (C.-H.C.)
- Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei 116, Taiwan;
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Correspondence:
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20
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Prevalence, profile and associations of cognitive impairment in Ugandan first-episode psychosis patients. Schizophr Res Cogn 2022; 28:100234. [PMID: 35024348 PMCID: PMC8728100 DOI: 10.1016/j.scog.2021.100234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 12/11/2022]
Abstract
Introduction The MATRICS consensus cognitive battery (MCCB) is the gold standard for neuropsychological assessment in psychotic disorders but is rarely used in low resource settings. This study used the MCCB to determine the prevalence, profile and associations of various exposures with cognitive impairment in Ugandan first-episode psychosis patients. Methods Patients and matched healthy controls were recruited at Butabika Hospital in Uganda. Clinical variables were first collated, and after the resolution of psychotic symptoms, a neuropsychological assessment of seven cognitive domains was performed using the MCCB. Cognitive impairment was defined as two standard deviations (SD) below the mean in one domain or 1SD below the mean in two domains. Descriptive statistics determined the prevalence and profile of impairment while regression models determined the association between various exposures with cognitive scores while controlling for age, sex and education. Results Neuropsychological assessment with the MCCB found the burden of cognitive impairment in first-episode psychosis patients five times that of healthy controls. The visual learning and memory domain was most impaired in first-episode psychosis patients, while it was the working memory domain for the healthy controls. Increased age was associated with impairment in the domains of the speed of processing (p < 0.001) and visual learning and memory (p = 0.001). Cassava-rich diets and previous alternative and complementary therapy use were negatively associated with impairment in the visual learning (p = 0.04) and attention/vigilance domains (p = 0.012), respectively. There were no significant associations between sex, history of childhood trauma, or illness severity with any cognitive domain. Conclusion A significant burden of cognitive impairment in Ugandan first-episode psychosis patients is consistent with prior data from other contexts. However, the profile of and risk factors for impairment differ from that described in such work. Therefore, interventions to reduce cognitive impairment in FEP patients specific to this setting, including dietary modifications, are required.
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21
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Bove M, Lama A, Schiavone S, Pirozzi C, Tucci P, Sikora V, Trinchese G, Corso G, Morgese MG, Trabace L. Social isolation triggers oxidative status and impairs systemic and hepatic insulin sensitivity in normoglycemic rats. Biomed Pharmacother 2022; 149:112820. [PMID: 35290886 DOI: 10.1016/j.biopha.2022.112820] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/28/2022] [Accepted: 03/09/2022] [Indexed: 11/11/2022] Open
Abstract
Drug-naïve psychotic patients show metabolic and hepatic dysfunctions. The rat social isolation model of psychosis allows to investigate mechanisms leading to these disturbances to which oxidative stress crucially contributes. Here, we investigated isolation-induced central and peripheral dysfunctions in glucose homeostasis and insulin sensitivity, along with redox dysregulation. Social isolation did not affect basal glycemic levels and the response to glucose and insulin loads in the glucose and insulin tolerance tests. However, HOMA-Index value were increased in isolated (ISO) rats. A hypothalamic reduction of AKT phosphorylation and a trend toward an increase in AMPK phosphorylation were observed following social isolation, accompanied by reduced GLUT-4 levels. Social isolation also induced a reduction of phosphorylation of the insulin receptor, of AKT and GLUT-2, and a decreased phosphorylation of AMPK in the liver. Furthermore, a significant reduction in hepatic CPT1 and PPAR-α levels was detected. ISO rats also showed significant elevations in hepatic ROS amount, lipid peroxidation and NOX4 expression, whereas no differences were detected in NOX2 and NOX1 levels. Expression of SOD2 in the mitochondrial fraction and SOD1 in the cytosolic fraction was not altered following social isolation, whereas SOD activity was increased. Furthermore, a decrease of hepatic CAT and GSH amount was observed in ISO rats compared to GRP animals. Our data suggest that the increased oxidant status and antioxidant capacity modifications may trigger hepatic and systemic insulin resistance, by altering signal hormone pathway and sustaining subsequent alteration of glucose homeostasis and metabolic impairment observed in the social isolation model of psychosis.
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Affiliation(s)
- Maria Bove
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
| | - Adriano Lama
- Department of Pharmacy, University of Naples Federico II, Via Domenico Montesano, 49, Naples 80131, Italy.
| | - Stefania Schiavone
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
| | - Claudio Pirozzi
- Department of Pharmacy, University of Naples Federico II, Via Domenico Montesano, 49, Naples 80131, Italy.
| | - Paolo Tucci
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
| | - Vladyslav Sikora
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy; Department of Pathology, Sumy State University, 2, Rymskogo-Korsakova st., Sumy 40007, Ukraine.
| | - Giovanna Trinchese
- Department of Biology, University of Naples Federico II, "Complesso Universitario di Monte Sant'Angelo", Cupa Nuova Cinthia 21 - Building 7, Naples 80126, Italy.
| | - Gaetano Corso
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
| | - Maria Grazia Morgese
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
| | - Luigia Trabace
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, Foggia 71122, Italy.
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Giné-Servén E, Martinez-Ramirez M, Boix-Quintana E, Davi-Loscos E, Guanyabens N, Casado V, Muriana D, Torres-Rivas C, Crespo-Facorro B, Labad J. Routine cerebrospinal fluid parameters as biomarkers in first-episode psychosis: A prospective observational study. Prog Neuropsychopharmacol Biol Psychiatry 2022; 112:110424. [PMID: 34363867 DOI: 10.1016/j.pnpbp.2021.110424] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/01/2021] [Accepted: 08/02/2021] [Indexed: 12/20/2022]
Abstract
In recent years, multiple studies have investigated the role of biomarkers in first-episode psychosis (FEP) to facilitate early diagnosis, disease stratification, therapeutic choice and outcome prediction. Few studies have focused on cerebrospinal fluid (CSF) investigations. In this prospective observational study, 95 FEP inpatients were followed up for one year. A lumbar puncture was performed at index admission (baseline) to study the CSF parameters (glucose, total proteins, lactate dehydrogenase [LDH], and pleocytosis). At the baseline visit, the clinical assessment included prodromal (psychotic and non-psychotic) symptoms before the psychotic outbreak and psychopathology at admission. The SCID-I was administered to obtain a clinical diagnosis at baseline and at 12 months. The relationship between prodromal and psychopathology symptoms at the baseline visit was tested with multiple linear regression. Multinomial logistic regression was also used to explore the association between CSF biomarkers and longitudinal diagnoses at follow-up (schizophrenia/schizoaffective disorder vs unipolar/bipolar depression vs other psychoses). Higher CSF glucose was associated with depressive (Standardized beta = 0.27, p = 0.041) and disorganized/concrete symptoms (Standardized beta = 0.33, p = 0.023) and lower CSF LDH was associated with prodromal symptoms (Standardized beta = -0.25, p = 0.042). Lower LDH concentrations were also associated with social withdrawal (r = -0.342, p = 0.001). CSF glucose was a predictor of the long-term diagnosis (lower CSF concentrations were associated with schizophrenia or schizoaffective disorder diagnoses [OR = 0.88, CI95%: 0.77-0.99). Our study suggests that CSF biomarkers that involve bioenergetic systems are associated with prodromal symptoms and the phenotype of psychotic disorders during the early stages of the disease.
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Affiliation(s)
- Eloi Giné-Servén
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain.
| | - Maria Martinez-Ramirez
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Ester Boix-Quintana
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Eva Davi-Loscos
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Nicolau Guanyabens
- Department of Neurology, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Virginia Casado
- Department of Neurology, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Desiree Muriana
- Department of Neurology, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Cristina Torres-Rivas
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Benedicto Crespo-Facorro
- University Hospital Virgen del Rocío, IBiS, Department of Psychiatry, University of Sevilla, Sevilla, Spain; Centro de Investigación en Red de Salud Mental (CIBERSAM), Spain
| | - Javier Labad
- Department of Mental Health, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain; Centro de Investigación en Red de Salud Mental (CIBERSAM), Spain; Translational Neuroscience Research Unit I3PT-INc-UAB, Institut de Innovació i Investigació Parc Taulí (I3PT), Institut de Neurociències, Universitat Autònoma de Barcelona, Spain
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23
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Protsenko M, Kerkelä M, Miettunen J, Auvinen J, Järvelin MR, Jones PB, Gissler M, Veijola J. Cardiometabolic Disorders in the Offspring of Parents With Severe Mental Illness. Psychosom Med 2022; 84:2-9. [PMID: 34913885 DOI: 10.1097/psy.0000000000001022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The elevated prevalence of cardiometabolic disorders is consistently reported in patients with severe mental illness (SMI). We explored the association between parental SMI and offspring cardiometabolic morbidity. Our hypothesis was that offspring of people with SMI have increased morbidity risk. METHOD The Northern Finland Birth Cohort 1966 is a study of offspring whose date of birth was expected in 1966. The follow-up lasted until 2015 (49 years). The final study sample included 11,175 children. We used parental SMI as the exposure in the study. The following cardiometabolic disorders were used as outcome measures: diabetes mellitus, hypertension, hyperlipidemia, coronary artery disease, obesity, and cerebrovascular disorders. RESULTS There were 139 (14.7%; hazard ratios [HR] = 1.63; 95% confidence interval [CI] = 1.36-1.94) children of parents with SMI who developed cardiometabolic disorder during follow-up and 957 (9.4%) in the comparison cohort. Statistically significant HRs were found in males (HR = 1.95; 95% CI =1.56-2.44), but not in females (HR = 1.29; 95% CI = 0.96-1.73). CONCLUSIONS Having a cardiometabolic disorder was associated with male offspring of parents with SMI. Our findings suggest that there is an elevated risk of coronary artery disease, hyperlipidemia, obesity, and hypertension in the male offspring of parents with SMI. Our results suggest that the somatic health of offspring of parents with SMI should also be considered in addition to their mental health in clinical practice.
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Affiliation(s)
- Maria Protsenko
- From the Department of Psychiatry (Protsenko, Kerkelä, Veijola), Research Unit of Clinical Neuroscience, and Center for Life Course Health Research (Miettunen, Auvinen, Järvelin), University of Oulu; Medical Research Center Oulu (Miettunen, Veijola), Oulu University Hospital and University of Oulu, Oulu; THL, Information Services Department (Gissler), Finnish Institute for Health and Welfare, Helsinki; University of Turku, Research Centre for Child Psychiatry (Gissler), Turku, Finland; Department of Neurobiology, Care Sciences and Society (Gissler), Karolinska Institute, Stockholm, Sweden; Department of Psychiatry (Veijola), University Hospital of Oulu, Oulu, Finland; and Department of Psychiatry (Jones), University of Cambridge, Cambridge, England, United Kingdom
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24
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Maly IV, Morales MJ, Pletnikov MV. Astrocyte Bioenergetics and Major Psychiatric Disorders. ADVANCES IN NEUROBIOLOGY 2021; 26:173-227. [PMID: 34888836 DOI: 10.1007/978-3-030-77375-5_9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Ongoing research continues to add new elements to the emerging picture of involvement of astrocyte energy metabolism in the pathophysiology of major psychiatric disorders, including schizophrenia, mood disorders, and addictions. This review outlines what is known about the energy metabolism in astrocytes, the most numerous cell type in the brain, and summarizes the recent work on how specific perturbations of astrocyte bioenergetics may contribute to the neuropsychiatric conditions. The role of astrocyte energy metabolism in mental health and disease is reviewed on the organism, organ, and cell level. Data arising from genomic, metabolomic, in vitro, and neurobehavioral studies is critically analyzed to suggest future directions in research and possible metabolism-focused therapeutic interventions.
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Affiliation(s)
- Ivan V Maly
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
| | - Michael J Morales
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
| | - Mikhail V Pletnikov
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA.
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25
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Prevalence of obesity and clinical and metabolic correlates in first-episode schizophrenia relative to healthy controls. Psychopharmacology (Berl) 2021; 238:745-753. [PMID: 33241480 DOI: 10.1007/s00213-020-05727-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 11/18/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVE People with schizophrenia exhibit a high obesity rate. However, little is known about the prevalence of obesity and its relationship with clinical symptoms and metabolic indicators in first-episode drug-naïve (FEDN) schizophrenia. METHODS Demographic and lipid parameters were gathered from 297 FEDN schizophrenia and 325 healthy controls. The patients' symptomatology was evaluated by the Positive and Negative Syndrome Scale (PANSS). RESULTS The obesity rate of FEDN patients was 10.77%, similar to that of controls (10.5%). The prevalence of overweight plus obesity of patients was 44.8%, significantly higher than that of controls (36.6%). Compared with non-obese patients, obese patients had higher levels of cholesterol (4.81 ± 0.93 vs 4.22 ± 1.00 mmol/L), triglyceride (0.27 ± 0.21 vs 0.14 ± 0.24 mg/dL), low-density lipoprotein (0.48 ± 0.12 vs 0.40 ± 0.12 mg/dL), greater ratio of triglyceride/high-density lipoprotein (2.01 ± 1.23 vs 1.44 ± 1.26), and higher PANSS positive symptom subscale score (29.81 ± 6.29 vs 27.05 ± 6.15), general psychopathology subscale score (70.75 ± 11.74 vs 66.87 ± 11.37), and total score (149.81 ± 21.08 vs 140.64 ± 21.58), but lower high-density lipoprotein level (1.09 ± 0.21 vs 1.27 ± 0.34 mg/dL) (all p < 0.05). Correlation analysis revealed that body mass index (BMI) was positively correlated with triglyceride, cholesterol, high-density lipoprotein, low-density lipoprotein, triglyceride/high-density lipoprotein ratio, PANSS positive symptoms, general psychopathology, and total scores (all p < 0.05, r = 0.124 ~ 0.335). Multiple regression analysis confirmed that PANSS positive symptoms, total score, and cholesterol level were significantly associated with BMI (all p < 0.05, β: 0.126-0.162). CONCLUSION There was no significant difference in the prevalence of obesity between FEDN patients and the control group. Moreover, BMI was positively associated with positive symptom severity in FEDN patients.
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26
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Cognitive ability and metabolic physical health in first-episode psychosis. SCHIZOPHRENIA RESEARCH-COGNITION 2021; 24:100194. [PMID: 33659191 PMCID: PMC7895837 DOI: 10.1016/j.scog.2021.100194] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/14/2021] [Accepted: 01/27/2021] [Indexed: 11/23/2022]
Abstract
Cognitive impairments are a core feature of first-episode psychosis (FEP), arising before illness onset and antipsychotic exposure. Individuals with chronic psychosis experience poorer physical health while taking antipsychotic medication, but health disparities may be evident at FEP onset, prior to antipsychotic exposure. Given the links between cognition and physical health in healthy populations, the aim was to explore whether cognition and physical health are associated in FEP, which could inform early physical health interventions for cognition in FEP. Participants were aged 15 to 25 and included 86 individuals experiencing FEP with limited antipsychotic exposure and duration of untreated psychosis of ≤six months, and 43 age- and sex-matched controls. Individuals with FEP performed significantly poorer than controls in most cognitive domains (Cohen's d = 0.38 to 1.59). Groups were similar in metabolic health measures, excluding a significantly faster heart rate in FEP (d = 0.68). Through hierarchical regression analyses, we found that in the overall sample, BMI was negatively related to current IQ after controlling for education and group (FEP/control). Relationships between BMI and cognition were consistent across the FEP and healthy control groups. In FEP, current IQ and working memory were negatively correlated with lipid profiles. Findings suggest that in FEP, impaired cognition is exhibited earlier than physical health problems, and that compared to controls, similar relationships with cognition are demonstrated. Causal pathways and trajectories of relationships between health and cognition in FEP require investigation, especially as antipsychotic medications are introduced. The findings have implications for cognitive and health interventions.
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27
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Crespo-Facorro B, Such P, Nylander AG, Madera J, Resemann HK, Worthington E, O'Connor M, Drane E, Steeves S, Newton R. The burden of disease in early schizophrenia - a systematic literature review. Curr Med Res Opin 2021; 37:109-121. [PMID: 33095689 DOI: 10.1080/03007995.2020.1841618] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Schizophrenia is a heterogeneous disorder with a burden that can vary greatly depending on the severity and the duration. Previous research has suggested that patients in the earlier stages of schizophrenia (typically first-episode schizophrenia) benefit from effective early treatment, however, a comprehensive review of the burden specifically in this population has not been undertaken. A systematic literature review was therefore conducted to characterize the clinical, economic, and humanistic burden, as reported in naturalistic studies of schizophrenia populations specifically at an early stage of disease in comparison with healthy controls, patients with chronic schizophrenia, and patients with other psychiatric disorders. METHODS AND MATERIALS Searches were conducted in MEDLINE, MEDLINE In-Process, Embase, PsycINFO, and EconLit databases for records published between January 2005 and April 2019, and of relevant conference abstracts published between January 2014 and May 2019. Data were extracted from relevant publications and subjected to qualitative evaluation. RESULTS Fifty-two publications were identified for inclusion and revealed a considerable burden for early schizophrenia with regards to mortality, psychiatric comorbidities such as substance abuse and depression, poor social functioning, and unemployment. Comparisons with chronic schizophrenia suggested a greater burden with longer disease duration, while comparisons with other psychiatric disorders were inconclusive. This review uncovered various gaps in the available literature, including limited or no data on incarcerations, caregiver burden, and costs associated with early schizophrenia. CONCLUSIONS Overall, the burden of schizophrenia is apparent even in the early stages of the disease, although further research is required to quantify the burden with chronic schizophrenia and other psychiatric disorders.
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Affiliation(s)
- Benedicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Virgen del Rocio, IBiS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Sevilla, Spain
| | | | | | - Jessica Madera
- Global Medical Affairs, Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, USA
| | | | | | | | - Emma Drane
- Costello Medical Consulting Ltd, Cambridge, UK
| | | | - Richard Newton
- Peninsula Health, Monash University, Frankston, Victoria, Australia
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28
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Diabetes in late-life schizophrenia: Prevalence, factors, and association with clinical symptoms. J Psychiatr Res 2021; 132:44-49. [PMID: 33038565 DOI: 10.1016/j.jpsychires.2020.09.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 08/25/2020] [Accepted: 09/26/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The prevalence of diabetes mellitus has been found to be higher in patients with schizophrenia. Older patients are the fastest-growing segment of the schizophrenia population. However, few studies have explored diabetes in older patients with schizophrenia. Therefore, this study aimed to determine the prevalence and characteristics of factors associated with diabetes in Chinese patients with late-life schizophrenia (LLS), which has not been reported in previous studies. METHODS A total of 289 inpatients aged 60 or above who met the DSM-IV criteria for schizophrenia were recruited. The severity of psychopathology was assessed by the Positive and Negative Syndrome Scale (PANSS). Diabetes was diagnosed by fasting blood glucose tests, or oral glucose tolerance tests. RESULTS The overall prevalence of diabetes in LLS patients was 25.3%. The prevalence of diabetes in female patients was significantly higher than that in male patients (35% vs. 21.53%). Other factors associated with diabetes included higher BMI, greater waistline (only for males), higher levels of triglyceride, and more severe positive symptoms. CONCLUSION These results indicate that the prevalence of diabetes in LLS patients is similar to that in the age-matched general population. Female gender, excess weight and abdominal obesity, dyslipidemia, and clinical symptoms can be potential risk factors of diabetes in the LLS patient group.
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29
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Alameda L, Levier A, Gholam-Rezaee M, Golay P, Vandenberghe F, Delacretaz A, Baumann P, Glatard A, Dubath C, Herane-Vives A, Rodriguez V, Solida A, Do KQ, Eap CB, Conus P. Psychological trauma occurring during adolescence is associated with an increased risk of greater waist circumference in Early Psychosis patients treated with psychotropic medication. PLoS One 2020; 15:e0242569. [PMID: 33270646 PMCID: PMC7714104 DOI: 10.1371/journal.pone.0242569] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 11/04/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND It has been suggested that exposure to Childhood Trauma [CT] may play a role in the risk of obesity in Early Psychosis [EP] patients; however, whether this is independently of age at exposure to CT and the medication profile has yet to be investigated. METHODS 113 EP-patients aged 18-35 were recruited from the Treatment and Early Intervention in Psychosis Program [TIPP-Lausanne]. Body Mass Index [BMI], Weight Gain [WG] and Waist Circumference [WC] were measured prospectively at baseline and after 1, 2, 3, 6 and 12 months of weight gain inducing psychotropic treatment. Patients were classified as Early-Trauma and Late-Trauma if the exposure had occurred before age 12 or between ages 12 and 16 respectively. Generalized Linear Mixed-Models were adjusted for age, sex, socioeconomic status, baseline BMI, medication and for diagnosis of depression. RESULTS Late-Trauma patients, when compared to Non-Trauma patients showed greater WCs during the follow-up [p = 0.013]. No differences were found in any of the other follow-up measures. CONCLUSIONS Exposition to CT during adolescence in EP-patients treated with psychotropic medication is associated with greater WC during the early phase of the disease. Further investigation exploring mechanisms underlying the interactions between peripubertal stress, corticoids responsiveness and a subsequent increase of abdominal adiposity is warranted.
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Affiliation(s)
- Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis, Program [TIPP-Lausanne], Lausanne University Hospital [CHUV], Lausanne, Switzerland
- Department of Psychiatry, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Sevilla, Spain
- Instituto de Investigación Sanitaria de Sevilla, IBiS, Sevilla, Spain
- * E-mail:
| | - Axel Levier
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
| | - Mehdi Gholam-Rezaee
- Department of Psychiatry, Center for Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital [CHUV], Lausanne, Switzerland
| | - Philippe Golay
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis, Program [TIPP-Lausanne], Lausanne University Hospital [CHUV], Lausanne, Switzerland
- Community Psychiatry Service, Department of Psychiatry, Consultations de Chauderon, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Institute of Psychology, faculty of Social and Politic al Science, University of Lausanne, Lausanne, Switzerland
| | - Frederik Vandenberghe
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
| | - Aurélie Delacretaz
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
| | - Philipp Baumann
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital [CHUV], Lausanne, Switzerland
| | - Anaïs Glatard
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
| | - Céline Dubath
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
| | - Andres Herane-Vives
- Department of Psychological Medicine, Affective Disorders Research Group, Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Departamento de Clínicas, Facultad de Medicina, Universidad Católica del Norte, Coquimbo, Chile
- Affective Disorders Research Group, Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience King’s College London, London, United Kingdom
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Alessandra Solida
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis, Program [TIPP-Lausanne], Lausanne University Hospital [CHUV], Lausanne, Switzerland
| | - Kim Q. Do
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital [CHUV], Lausanne, Switzerland
| | - Chin B. Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, Prilly, Switzerland
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Geneva, Geneva, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis, Program [TIPP-Lausanne], Lausanne University Hospital [CHUV], Lausanne, Switzerland
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Correlations between age, biomedical variables, and cognition in patients with schizophrenia. Schizophr Res Cogn 2020; 22:100182. [PMID: 32577406 PMCID: PMC7303996 DOI: 10.1016/j.scog.2020.100182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 05/26/2020] [Accepted: 05/29/2020] [Indexed: 11/23/2022] Open
Abstract
Objective To illustrate the influence of clinical variables on cognition performance in patients with schizophrenia (SCZ). Methods Using the 66nao Brain Training device (a novel measurement tool), the cognitive performance of 99 patients with SCZ was evaluated. Patients were diagnosed by the ICD-10 diagnostic criteria for SCZ, and their age were 16–68 years old. Furthermore, we explored the relationship between age, biomedical variables and specific cognitive domains in patients with SCZ. Patients were divided into two groups: various of cognitive domains impairment group and non-impairment group according to the norm scores. All data were analyzed using RStudio Version 1.0.44 (RStudio, Inc.) Results Patients with SCZ had obvious cognitive impairment in total and five subdomains of cognitive function. We found that 1) SCZ patients with impaired cognitive total score experienced significant older age and longer illness duration compared with those with normal cognitive total score. 2) SCZ patients with impaired memory experienced significant older age compared with those with normal memory. 3) SCZ patients with impaired attention showed significant lower serum triglyceride (TG) level compared with those with normal attention. 4) SCZ patients with impaired flexibility performed significant longer illness duration compared with those with normal flexibility. 5) SCZ patients with impaired cognitive agility performed significant older age, longer duration, and higher systolic blood pressure (SBP) compared with those with normal cognitive agility. 6) The age, illness duration and SBP in patients with impaired time perception were marginally different from those of subjects with normal time perception. Conclusion There are five dimensions (memory, attention, flexibility, cognitive agility, and time perception) of cognitive dysfunction in SCZ patients. Age, illness duration, TG, and SBP might play vital roles in various subdomains of the cognitive deficits respectively in patients with SCZ.
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Zhang X, Yang M, Du X, Liao W, Chen D, Fan F, Xiu M, Jia Q, Ning Y, Huang X, Wu F, Soares JC, Cao B, Wang L, Chen H. Glucose disturbances, cognitive deficits and white matter abnormalities in first-episode drug-naive schizophrenia. Mol Psychiatry 2020; 25:3220-3230. [PMID: 31409883 DOI: 10.1038/s41380-019-0478-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 03/19/2019] [Accepted: 03/22/2019] [Indexed: 12/13/2022]
Abstract
Disturbance of glucose metabolism may be implicated in cognitive deficits of schizophrenia in its early phases. Many studies have reported the important role of widespread disruption of white matter (WM) connectivity in pathogenesis, cognitive deficit and psychopathology of schizophrenia. However, no study has investigated their inter-relationships in drug-naive first episode (DNFE) patients with schizophrenia. Glucose metabolism parameters including fasting glucose, insulin and homeostasis model of assessment-insulin resistance (HOMA-IR) index, cognitive performance on the MATRICS Consensus Cognitive Battery (MCCB) and the voxel-wised WM fractional anisotropy (FA) values were examined using DTI in 39 DNFE schizophrenia and 31 control subjects. The Positive and Negative Syndrome Scale was utilized for clinical symptoms. The patients showed significantly greater fasting plasma levels of glucose and insulin and HOMA-IR, and poorer cognitive scores, together with widespread reduced FA values in five brain areas, including left and right corpus callosum, superior longitudinal fasciculus, posterior thalamic radiation, and corona radiata (all p < 0.05). Association analysis showed that glucose level was positively associated with Digital Sequence Test and Continuous Performance Test, but negatively with FA values in posterior thalamic radiation and left corpus callosum in patients (all p < 0.05). Furthermore, multiple regression analysis revealed that the interactions of glucose × FA in left corpus callosum, longitudinal fasciculus and corona radiata were independent contributors to the Brief Visuospatial Memory Test (BVMT) of MCCB, while the interaction of glucose × FA in left corpus callosum, or in longitudinal fasciculus was associated with MCCB mazes and Trail Making A Test, respectively. Therefore, abnormal glucose metabolism, cognitive impairment and widespread disruption of WM structure occur in an early course of schizophrenia onset. An interaction between glucose metabolism abnormality and the WM dysconnectivity may lead to cognitive impairment.
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Affiliation(s)
- Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China. .,The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
| | - Mi Yang
- Department of Stomatology, the Fourth People's Hospital of Chengdu, Chengdu, China.,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Wei Liao
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Dachun Chen
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Fengmei Fan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Meihong Xiu
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Qiufang Jia
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Xingbing Huang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Bo Cao
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Li Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Huafu Chen
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
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Akyol O, Chowdhury I, Akyol HR, Tessier K, Vural H, Akyol S. Why are cardiovascular diseases more common among patients with severe mental illness? The potential involvement of electronegative low-density lipoprotein (LDL) L5. Med Hypotheses 2020; 142:109821. [PMID: 32417641 DOI: 10.1016/j.mehy.2020.109821] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 04/22/2020] [Accepted: 05/05/2020] [Indexed: 02/07/2023]
Abstract
Despite tremendous efforts of experimental and clinical studies and knowledge, the pathophysiology of severe mental illness (SMI), including bipolar disorder (BD), unipolar depression (mood disorders, MD), and schizophrenia (SCZ), remains poorly understood. Besides their chronic course and high prevalence in society, mental and somatic comorbidities are really serious problems; patients with these disorders have increased risk of cardiovascular (CV) diseases (CVD) including coronary artery diseases (CAD, i.e. myocardial infarction and angina), stroke, sudden cardiac death, hypertension, cardiomyopathy, arrhythmia, and thromboembolic disease. Although it is determined that triglycerides, cholesterol, glucose, and low-density lipoprotein (LDL) levels are increased in MD and SCZ, the underlying reason remains unknown. Considering this, we propose that electronegative LDL (L5) is probably the main crucial element to understanding CVD induced by SMI and to discovering novel remedial approaches for these diseases. When it is hypothesized that L5 is greatly presupposed in CV system abnormalities, it follows that the anti-L5 therapies and even antioxidant treatment options may open new therapeutic opportunities to prevent CVD diseases secondary to SMI. In this review article, we tried to bring a very original subject to the attention of readers who are interested in lipoprotein metabolism in terms of experimental, clinical, and cell culture studies that corroborate the involvement of L5 in physiopathology of CVD secondary to SMI and also the new therapeutic approaches for these disorders.
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Affiliation(s)
- Omer Akyol
- Michigan Math & Science Academy, Department of Science, Warren, MI, USA.
| | - Imtihan Chowdhury
- Michigan Math & Science Academy, High School, 11th grade, Warren, MI, USA
| | - Hafsa Rana Akyol
- Illinois Institute of Technology, Biology, Sophomore, Chicago, IL, USA
| | - Kylie Tessier
- Michigan Math & Science Academy, High School, 11th grade, Warren, MI, USA
| | - Huseyin Vural
- Institute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry, RWTH University Hospital Aachen, Aachen, Germany
| | - Sumeyya Akyol
- Beaumont Health, Beaumont Research Institute, Royal Oak, MI, USA
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Levchenko A, Nurgaliev T, Kanapin A, Samsonova A, Gainetdinov RR. Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders. Heliyon 2020; 6:e03990. [PMID: 32462093 PMCID: PMC7240336 DOI: 10.1016/j.heliyon.2020.e03990] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 10/31/2019] [Accepted: 05/12/2020] [Indexed: 12/13/2022] Open
Abstract
A personalized medicine approach seems to be particularly applicable to psychiatry. Indeed, considering mental illness as deregulation, unique to each patient, of molecular pathways, governing the development and functioning of the brain, seems to be the most justified way to understand and treat disorders of this medical category. In order to extract correct information about the implicated molecular pathways, data can be drawn from sampling phenotypic and genetic biomarkers and then analyzed by a machine learning algorithm. This review describes current difficulties in the field of personalized psychiatry and gives several examples of possibly actionable biomarkers of psychotic and other psychiatric disorders, including several examples of genetic studies relevant to personalized psychiatry. Most of these biomarkers are not yet ready to be introduced in clinical practice. In a next step, a perspective on the path personalized psychiatry may take in the future is given, paying particular attention to machine learning algorithms that can be used with the goal of handling multidimensional datasets.
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Affiliation(s)
- Anastasia Levchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Timur Nurgaliev
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Alexander Kanapin
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Anastasia Samsonova
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Raul R. Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
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Lin BD, Alkema A, Peters T, Zinkstok J, Libuda L, Hebebrand J, Antel J, Hinney A, Cahn W, Adan R, Luykx JJ. Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study. Int J Epidemiol 2020; 48:1505-1514. [PMID: 31504541 PMCID: PMC7070229 DOI: 10.1093/ije/dyz176] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Blood immunoreactive biomarkers, such as C-reactive protein (CRP), and metabolic abnormalities have been associated with schizophrenia. Studies comprehensively and bidirectionally probing possible causal links between such blood constituents and liability to schizophrenia are lacking. METHODS To disentangle putative causal links between CRP blood levels and schizophrenia in both directions, we conducted multiple univariable Mendelian-randomization (MR) analyses, ranging from fixed-effect to inverse variance-weighted (IVW), weighted-median, MR Egger and generalized summary-data-based Mendelian-randomization (GSMR) models. To prioritize metabolic risk factors for schizophrenia, a novel multivariable approach was applied: multivariable Mendelian-randomization-Bayesian model averaging (MR-BMA). RESULTS All forward univariable MR analyses consistently showed that CRP has a protective effect on schizophrenia, whereas reverse MR analyses consistently suggested absent causal effects of schizophrenia liability on CRP blood levels. Using MR-BMA, as the top protective factors for schizophrenia we prioritized leucine and as the prime risk-factor triglycerides in medium very-low-density lipoprotein (VLDL). The five best-performing MR-BMA models provided one additional risk factor: triglycerides in large VLDL; and two additional protective factors: citrate and lactate. CONCLUSIONS Our results add to a growing body of literature hinting at metabolic changes-in particular of triglycerides-independently of medication status in schizophrenia. We also highlight the absent effects of genetic liability to schizophrenia on CRP levels.
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Affiliation(s)
- Bochao D Lin
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, School of Basic Medical Sciences, Henan University, Kaifeng, China.,Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Anne Alkema
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Janneke Zinkstok
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Lars Libuda
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Jochen Antel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Wiepke Cahn
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Roger Adan
- Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,GGNet Mental Health, Apeldoorn, The Netherlands
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P50 inhibition deficit in patients with chronic schizophrenia: Relationship with cognitive impairment of MATRICS consensus cognitive battery. Schizophr Res 2020; 215:105-112. [PMID: 31780341 DOI: 10.1016/j.schres.2019.11.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/01/2019] [Accepted: 11/05/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Cognitive impairment is a core symptom of schizophrenia (SCZ); however, its pathophysiological mechanisms remain unclear. The sensory gating (SG) deficits reflected by P50 inhibition are recurring in SCZ, and this inhibition may be related to the cognitive deficits seen in these individuals. This study aimed to investigate the relationship between P50 inhibition and cognitive dysfunction in SCZ, which has not been fully investigated up to this point. METHODS A total of 270 individuals with chronic SCZ and 116 healthy controls were enrolled in the study. Psychopathology of SCZ was rated by the positive and negative syndrome scale (PANSS), while cognitive function and P50 inhibition of subjects were assessed by the MATRICS Consensus Cognitive Battery (MCCB) and the electroencephalography system. RESULTS The MCCB total and its 10 index scores were significantly lower in patients than those in healthy controls (all p < 0.001). SCZ patients had a lower amplitude of S1, and higher P50 ratio than healthy controls (both p < 0.01). However, there were no significant correlations between the P50 ratio and any of the PANSS total and its subscale scores in SCZ patients (all p > 0.05). Moreover, no correlation was found between the P50 components and the MCCB scores (all p > 0.05). CONCLUSIONS Our findings suggest that the P50 inhibition deficits occur in Chinese individuals with SCZ, which may not be associated with their clinical symptoms and cognitive impairment.
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Montalvo I, González-Rodríguez A, Cabezas Á, Gutiérrez-Zotes A, Solé M, Algora MJ, Ortega L, Martorell L, Sánchez-Gistau V, Vilella E, Labad J. Glycated Haemoglobin Is Associated With Poorer Cognitive Performance in Patients With Recent-Onset Psychosis. Front Psychiatry 2020; 11:455. [PMID: 32528326 PMCID: PMC7262729 DOI: 10.3389/fpsyt.2020.00455] [Citation(s) in RCA: 4] [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: 02/25/2020] [Accepted: 05/05/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Glucose abnormalities and cognitive alterations are present before the onset of schizophrenia. We aimed to study whether glucose metabolism parameters are associated with cognitive functioning in recent-onset psychosis (ROP) patients while adjusting for hypothalamic-pituitary adrenal (HPA) axis measures. METHODS Sixty ROP outpatients and 50 healthy subjects (HS) were studied. Cognitive function was assessed with the MATRICS Consensus Cognitive Battery. Glycated haemoglobin (HbA1c), glucose, insulin, and C-peptide levels were determined in plasma. The HOMA-insulin resistance index was calculated. Salivary samples were obtained at home on another day to assess the cortisol awakening response and cortisol levels during the day. Univariate analyses were conducted to explore the association between glucose metabolism parameters and cognitive tasks. For those parameters that were more clearly associated with the cognitive outcome, multiple linear regression analyses were conducted to adjust for covariates. Each cognitive task was considered the dependent variable. Covariates were age, sex, education level, diagnosis, antipsychotic and benzodiazepine treatment, body mass index (BMI), smoking, and HPA axis measures. Potential interactions between diagnosis and glucose parameters were tested. RESULTS There were no significant differences in HPA axis measures or glucose parameters, with the exception of C-peptide (that was higher in ROP patients), between groups. ROP patients had a lower performance than HS in all cognitive tasks (p < 0.01 for all tasks). Of all glucose metabolism parameters, HbA1c levels were more clearly associated with cognitive impairment in cognitive tasks dealing with executive functions and visual memory in both ROP patients and HS. Multivariate analyses found a significant negative association between HbA1c and cognitive functioning in five cognitive tasks dealing with executive functions, visual memory and attention/vigilance (a ROP diagnosis by HbA1c negative interaction was found in this latter cognitive domain, suggesting that HBA1c levels are associated with impaired attention only in ROP patients). CONCLUSIONS Our study found that HbA1c was negatively associated with cognitive functioning in both ROP patients and HS in tasks dealing with executive functions and visual memory. In ROP patients, HbA1c was also associated with impaired attention. These results were independent of BMI and measures of HPA axis activity.
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Affiliation(s)
- Itziar Montalvo
- Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
| | - Alexandre González-Rodríguez
- Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
| | - Ángel Cabezas
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Alfonso Gutiérrez-Zotes
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Montse Solé
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Maria José Algora
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Laura Ortega
- Nursing Department, Universitat Rovira i Vigili, Tarragona, Spain
| | - Lourdes Martorell
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Vanessa Sánchez-Gistau
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Javier Labad
- Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
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Kucukgoncu S, Kosir U, Zhou E, Sullivan E, Srihari VH, Tek C. Glucose metabolism dysregulation at the onset of mental illness is not limited to first episode psychosis: A systematic review and meta-analysis. Early Interv Psychiatry 2019; 13:1021-1031. [PMID: 30277314 PMCID: PMC6445792 DOI: 10.1111/eip.12749] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 05/16/2018] [Accepted: 09/09/2018] [Indexed: 12/15/2022]
Abstract
AIM To compare the differences of glucose metabolism outcomes between treatment-naïve, patients with first episode psychosis (FEP) and mood disorders. METHODS We conducted a systematic review and meta-analysis of glucose intolerance in treatment-naïve, first episode patients with severe mental illnesses (SMIs). RESULTS We identified 31 eligible studies. Compared to healthy controls, FEP group have higher insulin and insulin resistance levels, and both groups have higher glucose tolerance test results. No significant differences were found in glucose metabolism outcomes between FEP and mood disorder groups. CONCLUSIONS Our results highlight impaired glucose metabolism at the onset of SMIs, suggesting both patients with psychosis and mood disorders are high-risk groups for diabetes development.
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Affiliation(s)
- Suat Kucukgoncu
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Urska Kosir
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Elton Zhou
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Erin Sullivan
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Vinod H Srihari
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Cenk Tek
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
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Abstract
BACKGROUND Research suggests an association between metabolic disorders, such as type 2 diabetes mellitus (T2DM), and schizophrenia. However, the risk of metabolic disorders in the unaffected siblings of patients with schizophrenia remains unclear. METHODS Using the Taiwan National Health Insurance Research Database, 3135 unaffected siblings of schizophrenia probands and 12,540 age-/sex-matched control subjects were included and followed up to the end of 2011. Individuals who developed metabolic disorders during the follow-up period were identified. RESULTS The unaffected siblings of schizophrenia probands had a higher prevalence of T2DM (3.4% vs. 2.6%, p = 0.010) than the controls. Logistic regression analyses with the adjustment of demographic data revealed that the unaffected siblings of patients with schizophrenia were more likely to develop T2DM (odds ratio [OR]: 1.39, 95% confidence interval [CI]: 1.10-1.75) later in life compared with the control group. Moreover, only female siblings of schizophrenia probands had an increased risk of hypertension (OR: 1.47, 95% CI: 1.07-2.01) during the follow-up compared with the controls.DiscussionThe unaffected siblings, especially sisters, of schizophrenia probands had a higher prevalence of T2DM and hypertension compared with the controls. Our study revealed a familial link between schizophrenia and T2DM in a large sample. Additional studies are required to investigate the shared pathophysiology of schizophrenia and T2DM.
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Zhang H, Wang Y, Hu Y, Zhu Y, Zhang T, Wang J, Ma K, Shi C, Yu X, Li C. Meta-analysis of cognitive function in Chinese first-episode schizophrenia: MATRICS Consensus Cognitive Battery (MCCB) profile of impairment. Gen Psychiatr 2019; 32:e100043. [PMID: 31423473 PMCID: PMC6677937 DOI: 10.1136/gpsych-2018-100043] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 05/02/2019] [Accepted: 05/17/2019] [Indexed: 01/10/2023] Open
Abstract
Background Compromised neurocognition is a core feature of schizophrenia. With increasing studies researching cognitive function of Chinese patients with first-episode schizophrenia (FES) using MATRICS Consensus Cognitive Battery (MCCB), it is not clear about the level and pattern of cognitive impairment among this population. Aim To provide a meta-analysis systematically analysing studies of neurocognitive function using MCCB in Chinese patients with FES. Methods An independent literature search of both Chinese and English databases up to 13 March 2019 was conducted by two reviewers. Standardised mean difference (SMD) was calculated using the random effects model to evaluate the effect size. Results 56 studies (FES=3167, healthy controls (HC)=3017) were included and analysed. No study was rated as 'high quality' according to Strengthening the Reporting of Observational Studies in Epidemiology. Compared with HCs, Chinese patients with FES showed impairment with large effect size in overall cognition (SMD=-1.60, 95% CI -1.82 to -1.38, I 2=67%) and all seven cognitive domains, with the SMD ranging from -0.87 to -1.41. In nine MCCB subtests, patients with FES showed significant difference in Symbol Coding (SMD=-1.90), Trail Making Test (TMT) (SMD=-1.36), Continuous Performance Test-Identical Pairs (SMD=-1.33), Hopkins Verbal Learning Test (SMD=-1.24), Brief Visuospatial Memory Test (SMD=-1.18), Mazes (SMD=-1.16), Category Fluency (SMD=-1.01), Spatial Span (SMD=-0.69) and Mayer-Salovey-Caruso Emotional Intelligence Test (SMD=-0.38). Conclusions Our meta-analysis demonstrates that Chinese patients with FES show neurocognitive deficits across all seven MCCB cognitive domains and all nine subtests, particularly in two neurocognitive domains: speed of processing and attention/vigilance, with the least impairment shown in social cognition. Symbol Coding and TMT may be the most sensitive tests to detect cognitive deficit in Chinese patients with FES.
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Affiliation(s)
- Huijuan Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuliang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yikang Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ke Ma
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Chuan Shi
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xin Yu
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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Tsao WY, Hsu JW, Huang KL, Bai YM, Su TP, Li CT, Tsai SJ, Lin WC, Chen TJ, Pan TL, Chen MH. Risk of cardiometabolic diseases among siblings of patients with bipolar disorder. J Affect Disord 2019; 253:171-175. [PMID: 31035218 DOI: 10.1016/j.jad.2019.04.094] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/16/2019] [Accepted: 04/21/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Cardiometabolic diseases are suggested to be associated with bipolar disorder. However, the risk of metabolic disorders in unaffected siblings of patients with bipolar disorder remains unclear. METHODS From the Taiwan National Health Insurance Research Database, 7,225 unaffected siblings of bipolar probands and 28,900 age-/sex-/income-/residence-matched control individuals were included and followed until the end of 2011. Individuals who developed metabolic disorders during the follow-up period were identified. RESULTS The unaffected siblings of bipolar probands had a higher prevalence of dyslipidemia (5.4% vs. 4.5%, p = 0.001), younger age at diagnosis of type 2 diabetes mellitus (34.81 vs. 37.22, p = 0.024), and higher prevalence of any stroke (1.5% vs. 1.1%, p = 0.007) than the controls. Moreover, only male siblings of bipolar probands had an increased risk of dyslipidemia (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.10-1.48) and higher rates of any stroke (OR: 1.38, 95% CI: 1.02-1.85) and ischemic stroke (OR: 2.43, 95% CI: 1.60-3.70) during the follow-up compared with the controls. DISCUSSION Unaffected siblings of bipolar patients, particularly brothers, had a higher prevalence of dyslipidemia and ischemic stroke compared with the controls. The result suggests the familial association between cardiometabolic diseases and bipolar disorder. Further research may be necessary to identify this shared etiology between the disorders.
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Affiliation(s)
- Wen-Yen Tsao
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Kai-Lin Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
| | - Cheng-Ta Li
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Chen Lin
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan
| | - Tai-Long Pan
- School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan; Liver Research Center, Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan.
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Shah P, Iwata Y, Caravaggio F, Plitman E, Brown EE, Kim J, Chan N, Hahn M, Remington G, Gerretsen P, Graff-Guerrero A. Alterations in body mass index and waist-to-hip ratio in never and minimally treated patients with psychosis: A systematic review and meta-analysis. Schizophr Res 2019; 208:420-429. [PMID: 30685395 DOI: 10.1016/j.schres.2019.01.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 12/30/2018] [Accepted: 01/05/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND Obesity is up to 4 times higher in patients with schizophrenia than in the general population. However, the link between obesity and schizophrenia in the absence of antipsychotic use is unclear. Therefore, we aimed to examine differences in obesity measures (body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR)) in antipsychotic-naive and minimally treated (up to 2 weeks of lifetime antipsychotic exposure) patients with psychosis compared to healthy controls (HCs). METHODS A systematic search was conducted using Ovid Medline®, PsycINFO, and Embase. Standardized mean differences (SMDs) in obesity measures between groups were calculated. Separate sensitivity analyses were performed to examine the effects of age, sex, and ethnicity; antipsychotic exposure; and schizophrenia-related psychosis on SMDs. RESULTS A total of 23 studies were included in the meta-analysis (BMI = 23, WC = 9, WHR = 5). BMI was lower (SMD = -0.19, 95% CI = -0.34 to -0.05, P = 0.009) and WHR was elevated (SMD = 0.34, 95% CI = 0.14 to 0.55, P = 0.001) in patients. These differences remained after analyses were restricted to patients matched with HCs for age, sex, and ethnicity; to antipsychotic-naive patients; and to patients with schizophrenia-related diagnoses. CONCLUSIONS Differences in BMI and WHR were observed in never and minimally treated patients with psychosis compared to HCs. Future research is warranted to understand these alterations in the context of body fat biomarkers and neuropathology of psychiatric disorders, independent of the effects of antipsychotics.
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Affiliation(s)
- Parita Shah
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Yusuke Iwata
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Fernando Caravaggio
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Eric Plitman
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Eric E Brown
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, Ontario, Canada
| | - Julia Kim
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Nathan Chan
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Margaret Hahn
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, Ontario, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, Ontario, Canada
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, Ontario, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, Ontario, Canada.
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Misiak B, Bartoli F, Stramecki F, Samochowiec J, Lis M, Kasznia J, Jarosz K, Stańczykiewicz B. Appetite regulating hormones in first-episode psychosis: A systematic review and meta-analysis. Neurosci Biobehav Rev 2019; 102:362-370. [PMID: 31121198 DOI: 10.1016/j.neubiorev.2019.05.018] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 05/13/2019] [Accepted: 05/18/2019] [Indexed: 12/13/2022]
Abstract
We aimed to perform a systematic review and meta-analysis of appetite regulating hormones in patients with first-episode psychosis (FEP). Meta-analyses were conducted using random-effects models with Hedges' g as the effect size estimate. We identified 31 eligible studies, investigating the levels of 7 appetite regulating hormones (adiponectin, insulin, leptin, ghrelin, orexin, resistin and visfatin) in 1792 FEP patients and 1364 controls. The insulin levels in FEP patients were higher than in controls (g = 0.34, 95%CI: 0.19 - 0.49, p < 0.001), even considering only antipsychotic-naïve patients (g = 0.39, 95%CI: 0.12 - 0.66, p = 0.005). The severity of negative symptoms was positively associated with the effect size estimates (β = 0.08, 95%CI: 0.01 - 0.16, p = 0.030). Moreover, we found lower levels of leptin in antipsychotic-naïve FEP patients (g = -0.62, 95%CI: -1.11 - 0.12, p = 0.015). Impaired appetite regulation, in terms of elevated insulin levels and decreased leptin levels, occurs in early psychosis, before antipsychotic treatment. Hyperinsulinemia might be related to negative symptoms.
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Affiliation(s)
- Błażej Misiak
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1 Street, 50-368 Wroclaw, Poland.
| | - Francesco Bartoli
- Department of Medicine and Surgery, University of Milano Bicocca, Monza, Italy; Department of Mental Health, ASST Nord Milano, Milano, Italy
| | - Filip Stramecki
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland
| | - Michał Lis
- Clinical Department of Internal Diseases, Endocrinology and Diabetology, The Central Clinical Hospital of the Ministry of the Interior in Warsaw, Wołoska 137 Street, 02-507 Warsaw, Poland
| | - Justyna Kasznia
- Inpatient Psychiatric Unit, Municipal General Hospital, Limanowskiego 20/22 Street, 63-400 Ostrów Wielkopolski, Poland
| | - Konrad Jarosz
- Department of Clinical Nursing, Pomeranian Medical University, Żołnierska 48 Street, 71-210 Szczecin, Poland
| | - Bartłomiej Stańczykiewicz
- Department of Nervous System Diseases, Wroclaw Medical University, Bartla 5 Street, 51-618 Wroclaw, Poland
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Agarwal SM, Caravaggio F, Costa-Dookhan KA, Castellani L, Kowalchuk C, Asgariroozbehani R, Graff-Guerrero A, Hahn M. Brain insulin action in schizophrenia: Something borrowed and something new. Neuropharmacology 2019; 163:107633. [PMID: 31077731 DOI: 10.1016/j.neuropharm.2019.05.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 04/15/2019] [Accepted: 05/07/2019] [Indexed: 12/24/2022]
Abstract
Insulin signaling in the central nervous system is at the intersection of brain and body interactions, and represents a fundamental link between metabolic and cognitive disorders. Abnormalities in brain insulin action could underlie the development of comorbid schizophrenia and type 2 diabetes. Among its functions, central nervous system insulin is involved in regulation of striatal dopamine levels, peripheral glucose homeostasis, and feeding regulation. In this review, we discuss the role and importance of central nervous system insulin in schizophrenia and diabetes pathogenesis from a historical and mechanistic perspective. We describe central nervous system insulin sites and pathways of action, with special emphasis on glucose metabolism, cognitive functioning, inflammation, and food preferences. Finally, we suggest possible mechanisms that may explain the actions of central nervous system insulin in relation to schizophrenia and diabetes, focusing on glutamate and dopamine signaling, intracellular signal transduction pathways, and brain energetics. Understanding the interplay between central nervous system insulin and schizophrenia is essential to disentangling this comorbid relationship and may provide novel treatment approaches for both neuropsychiatric and metabolic dysfunction. This article is part of the issue entitled 'Special Issue on Antipsychotics'.
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Affiliation(s)
- Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Fernando Caravaggio
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Kenya A Costa-Dookhan
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Chantel Kowalchuk
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Ariel Graff-Guerrero
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Margaret Hahn
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, Canada.
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Soontornniyomkij V, Lee EE, Jin H, Martin AS, Daly RE, Liu J, Tu XM, Eyler LT, Jeste DV. Clinical Correlates of Insulin Resistance in Chronic Schizophrenia: Relationship to Negative Symptoms. Front Psychiatry 2019; 10:251. [PMID: 31065243 PMCID: PMC6488983 DOI: 10.3389/fpsyt.2019.00251] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 04/02/2019] [Indexed: 12/22/2022] Open
Abstract
Higher prevalence of physical comorbidity and premature mortality in persons with schizophrenia (PwS) results primarily from heightened cardiovascular and metabolic risks. The literature suggests that insulin resistance precedes the development of obesity, smoking, and use of antipsychotic medications, although these likely play a compounding role later in the course of the disorder. It is thus important to discover the clinical characteristics of PwS with high insulin resistance, as these individuals may represent an etiopathologically distinct subgroup with a distinct course and treatment needs. We conducted a cross-sectional study and compared insulin resistance between 145 PwS and 140 nonpsychiatric comparison (NC) participants, similar in age, sex, and race distribution. In addition, we examined correlates of insulin resistance in PwS. As expected, PwS had higher levels of insulin resistance [Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)] and body mass index (BMI) compared to the NC participants. HOMA-IR in the PwS was most associated with negative symptoms, BMI, and non-White race/ethnicity. The mechanistic relationships between insulin resistance and negative symptoms in schizophrenia patients warrant further investigation, and future studies should examine outcomes of PwS with this cluster of physical and mental symptoms and determine how management of insulin resistance might improve health of these individuals.
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Affiliation(s)
| | - Ellen E Lee
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Hua Jin
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Averria Sirkin Martin
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Rebecca E Daly
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Jinyuan Liu
- Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States
| | - Xin M Tu
- Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States
| | - Lisa Todd Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Desert-Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
| | - Dilip V Jeste
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,Center for Healthy Aging, University of California San Diego, La Jolla, CA, United States.,Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
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MacKenzie NE, Kowalchuk C, Agarwal SM, Costa-Dookhan KA, Caravaggio F, Gerretsen P, Chintoh A, Remington GJ, Taylor VH, Müeller DJ, Graff-Guerrero A, Hahn MK. Antipsychotics, Metabolic Adverse Effects, and Cognitive Function in Schizophrenia. Front Psychiatry 2018; 9:622. [PMID: 30568606 PMCID: PMC6290646 DOI: 10.3389/fpsyt.2018.00622] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 11/05/2018] [Indexed: 01/09/2023] Open
Abstract
Cognitive impairment is a core symptom domain of schizophrenia. The effect of antipsychotics, the cornerstone of treatment in schizophrenia, on this domain is not fully clear. There is some evidence suggesting that antipsychotics may partially improve cognitive function, and that this improvement may vary depending on the specific cognitive domain. However, this research is confounded by various factors, such as age, duration/stage of illness, medication adherence, and extrapyramidal side effects that complicate the relationship between antipsychotics and cognitive improvement. Furthermore, antipsychotics-particularly the second generation, or "atypical" antipsychotics-can induce serious metabolic side effects, such as obesity, dyslipidemia and type 2 diabetes, illnesses which themselves have been linked to impairments in cognition. Thus, the inter-relationships between cognition and metabolic side effects are complex, and this review aims to examine them in the context of schizophrenia and antipsychotic treatment. The review also speculates on potential mechanisms underlying cognitive functioning and metabolic risk in schizophrenia. We conclude that the available literature examining the inter-section of antipsychotics, cognition, and metabolic effects in schizophrenia is sparse, but suggests a relationship between metabolic comorbidity and worse cognitive function in patients with schizophrenia. Further research is required to determine if there is a causal connection between the well-recognized metabolic adverse effects of antipsychotics and cognitive deficits over the course of the illness of schizophrenia, as well as, to determine underlying mechanisms. In addition, findings from this review highlight the importance of monitoring metabolic disturbances in parallel with cognition, as well as, the importance of interventions to minimize metabolic abnormalities for both physical and cognitive health.
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Affiliation(s)
| | - Chantel Kowalchuk
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Kenya A. Costa-Dookhan
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Fernando Caravaggio
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Philip Gerretsen
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Araba Chintoh
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Gary J. Remington
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Valerie H. Taylor
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Women's College Hospital, Toronto, ON, Canada
| | - Daniel J. Müeller
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Margaret K. Hahn
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Zhao S, Xia H, Mu J, Wang L, Zhu L, Wang A, Zhou X. 10-year CVD risk in Han Chinese mainland patients with schizophrenia. Psychiatry Res 2018; 264:322-326. [PMID: 29665562 DOI: 10.1016/j.psychres.2018.04.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 04/02/2018] [Accepted: 04/06/2018] [Indexed: 12/14/2022]
Abstract
People with schizophrenia have a shortened life expectancy, with cardiovascular disease (CVD) being the primary contributor to this excessive mortality. A total of 466 inpatients with schizophrenia and 507 healthy community controls in the Chinese mainland were recruited in this study. Sociodemographic information, medical history, and smoking history were recorded. In addition, total cholesterol (TC), fasting blood glucose (FBG), triglycerides (TG), and high-destiny lipoprotein cholesterol (HDL-C) were analyzed. The 10-year CVD risk was significantly higher in patients with schizophrenia compared with healthy controls. Male schizophrenia patients had significantly higher Framingham risk scores (FRS) than the females. Patients with schizophrenia carried significantly greater risk factors of CVD; body-mass index (BMI), TG and smoking prevalence were significantly higher than in the health community controls, while FBG and HDL-C were on the contrary. Smoking was significantly associated with FRS among schizophrenia inpatients. Collectively, these results suggest that Han Chinese mainland patients with schizophrenia harbor a high 10-year CVD risk when compared with healthy controls, especially in males. CVD in schizophrenia patients requires greater attention by clinicians and researchers.
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Affiliation(s)
- Shuai Zhao
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, PR China; Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Chaohu, Anhui, PR China
| | - HaiLong Xia
- Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Chaohu, Anhui, PR China
| | - JingJing Mu
- Department of Psychiatry, Anhui Mental Health Center, Hefei, Anhui, PR China
| | - Long Wang
- Department of Psychiatry, Anhui Mental Health Center, Hefei, Anhui, PR China
| | - Li Zhu
- Department of Psychiatry, Anhui Mental Health Center, Hefei, Anhui, PR China
| | - AnZhen Wang
- Department of Psychiatry, Anhui Mental Health Center, Hefei, Anhui, PR China
| | - XiaoQin Zhou
- Department of Psychiatry, Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, PR China; Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Chaohu, Anhui, PR China.
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Lipid profile disturbances in antipsychotic-naive patients with first-episode non-affective psychosis: A systematic review and meta-analysis. Schizophr Res 2017; 190:18-27. [PMID: 28325572 DOI: 10.1016/j.schres.2017.03.031] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/10/2017] [Accepted: 03/11/2017] [Indexed: 02/08/2023]
Abstract
BACKGROUND Dyslipidaemia is one of the most prevalent metabolic disturbances observed in schizophrenia patients and has been largely attributed to the effects of poor lifestyle habits and adverse effects of antipsychotic treatment. However, less is known whether patients with first-episode non-affective psychosis (FENP) present subthreshold indices of dyslipidaemia. Therefore, we tested the hypothesis whether subclinical lipid profile alterations occur already in antipsychotic-naïve FENP patients. METHODS In this systematic review and meta-analysis we adhered to the PRISMA guidelines and searched PubMed, CINAHL Complete, Academic Search Complete, ERIC and Health Source: Nursing/Academic Edition from database inception to Dec 12, 2016, for case-control studies measuring the levels of total cholesterol, low- and high-density lipoproteins (LDL and HDL) and triglycerides in patients with FENP and controls. W calculated effect size (ES) estimates as Hedges' g and pooled data using random- or fixed-effects models depending on heterogeneity. Our study was registered in the PROSPERO database (CRD42016051732). RESULTS Out of 2466 records identified, 19 studies representing 1803 participants were finally included in our systematic review and meta-analysis. Pooled analysis revealed that FENP patients had significantly lower levels of total cholesterol [ES=-0.16 (95% CI: -0.27, -0.06), p=0.003], LDL [ES=-0.13 (95% CI: -0.24, -0.01), p=0.034] and HDL [ES=-0.27 (95% CI: -0.49, -0.05), p=0.018] as well as significantly higher levels of triglycerides [ES=0.22 (95% CI: 0.11, 0.32), p<0.001] compared to controls. After removing single studies in sensitivity analysis, ES estimate for LDL levels was insignificant. CONCLUSIONS Antipsychotic-naïve patients with FENP present subclinical dyslipidaemia. Future studies should disentangle whether our findings reflect disease-specific mechanisms.
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Pillinger T, Beck K, Stubbs B, Howes OD. Cholesterol and triglyceride levels in first-episode psychosis: systematic review and meta-analysis. Br J Psychiatry 2017; 211:339-349. [PMID: 28982658 PMCID: PMC5709673 DOI: 10.1192/bjp.bp.117.200907] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 06/14/2017] [Accepted: 08/21/2017] [Indexed: 12/13/2022]
Abstract
BackgroundThe extent of metabolic and lipid changes in first-episode psychosis (FEP) is unclear.AimsTo investigate whether individuals with FEP and no or minimal antipsychotic exposure show lipid and adipocytokine abnormalities compared with healthy controls.MethodWe conducted a meta-analysis of studies examining lipid and adipocytokine parameters in individuals with FEP and no or minimal antipsychotic exposure v. a healthy control group. Studies reported fasting total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and leptin levels.ResultsOf 2070 citations retrieved, 20 case-control studies met inclusion criteria including 1167 patients and 1184 controls. Total cholesterol and LDL cholesterol levels were significantly decreased in patients v. controls, corresponding to an absolute reduction of 0.26 mmol/L and 0.15 mmol/L respectively. Triglyceride levels were significantly increased in the patient group, corresponding to an absolute increase of 0.08 mmol/L. However, HDL cholesterol and leptin levels were not altered in patients v. controls.ConclusionsTotal and LDL cholesterol levels are reduced in FEP, indicating that hypercholesterolaemia in patients with chronic disorder is secondary and potentially modifiable. In contrast, triglycerides are elevated in FEP. Hypertriglyceridaemia is a feature of type 2 diabetes mellitus, therefore this finding adds to the evidence for glucose dysregulation in this cohort. These findings support early intervention targeting nutrition, physical activity and appropriate antipsychotic prescription.
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Affiliation(s)
- Toby Pillinger
- Toby Pillinger, MRCP, Katherine Beck, MRCPsych, Brendon Stubbs, PhD, Institute of Psychiatry, Psychology and Neuroscience, King's College London, and South London and Maudsley National Health Service (NHS) Foundation Trust, London; Oliver D. Howes, PhD MRCPsych, Institute of Psychiatry, Psychology and Neuroscience, King's College London, South London and Maudsley NHS Foundation Trust, Medical Research Council London Institute of Medical Sciences, Hammersmith Hospital, and Institute of Clinical Sciences, Faculty of Medicine, Imperial College, London, UK
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Freyberg Z, Aslanoglou D, Shah R, Ballon JS. Intrinsic and Antipsychotic Drug-Induced Metabolic Dysfunction in Schizophrenia. Front Neurosci 2017; 11:432. [PMID: 28804444 PMCID: PMC5532378 DOI: 10.3389/fnins.2017.00432] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 07/13/2017] [Indexed: 12/12/2022] Open
Abstract
For decades, there have been observations demonstrating significant metabolic disturbances in people with schizophrenia including clinically relevant weight gain, hypertension, and disturbances in glucose and lipid homeostasis. Many of these findings pre-date the use of antipsychotic drugs (APDs) which on their own are also strongly associated with metabolic side effects. The combination of APD-induced metabolic changes and common adverse environmental factors associated with schizophrenia have made it difficult to determine the specific contributions of each to the overall metabolic picture. Data from drug-naïve patients, both from the pre-APD era and more recently, suggest that there may be an intrinsic metabolic risk associated with schizophrenia. Nevertheless, these findings remain controversial due to significant clinical variability in both psychiatric and metabolic symptoms throughout patients' disease courses. Here, we provide an extensive review of classic and more recent literature describing the metabolic phenotype associated with schizophrenia. We also suggest potential mechanistic links between signaling pathways associated with schizophrenia and metabolic dysfunction. We propose that, beyond its symptomatology in the central nervous system, schizophrenia is also characterized by pathophysiology in other organ systems directly related to metabolic control.
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Affiliation(s)
- Zachary Freyberg
- Department of Psychiatry, University of PittsburghPittsburgh, PA, United States
- Department of Cell Biology, University of PittsburghPittsburgh, PA, United States
| | - Despoina Aslanoglou
- Department of Psychiatry, University of PittsburghPittsburgh, PA, United States
| | - Ripal Shah
- Department of Psychiatry and Behavioral Sciences, Stanford UniversityStanford, CA, United States
| | - Jacob S. Ballon
- Department of Psychiatry and Behavioral Sciences, Stanford UniversityStanford, CA, United States
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50
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Pillinger T, Beck K, Gobjila C, Donocik J, Jauhar S, Howes O. Impaired Glucose Homeostasis in First-Episode Schizophrenia: A Systematic Review and Meta-analysis. JAMA Psychiatry 2017; 74:261-269. [PMID: 28097367 PMCID: PMC6352957 DOI: 10.1001/jamapsychiatry.2016.3803] [Citation(s) in RCA: 290] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Schizophrenia is associated with an increased risk of type 2 diabetes. However, it is not clear whether schizophrenia confers an inherent risk for glucose dysregulation in the absence of the effects of chronic illness and long-term treatment. OBJECTIVE To conduct a meta-analysis examining whether individuals with first-episode schizophrenia already exhibit alterations in glucose homeostasis compared with controls. DATA SOURCES The EMBASE, MEDLINE, and PsycINFO databases were systematically searched for studies examining measures of glucose homeostasis in antipsychotic-naive individuals with first-episode schizophrenia compared with individuals serving as controls. STUDY SELECTION Case-control studies reporting on fasting plasma glucose levels, plasma glucose levels after an oral glucose tolerance test, fasting plasma insulin levels, insulin resistance, and hemoglobin A1c (HbA1c) levels in first-episode antipsychotic-naive individuals with first-episode schizophrenia compared with healthy individuals serving as controls. Two independent investigators selected the studies. DATA EXTRACTION Two independent investigators extracted study-level data for a random-effects meta-analysis. Standardized mean differences in fasting plasma glucose levels, plasma glucose levels after an oral glucose tolerance test, fasting plasma insulin levels, insulin resistance, and HbA1c levels were calculated. Sensitivity analyses examining the effect of body mass index, diet and exercise, race/ethnicity, and minimal (≤2 weeks) antipsychotic exposure were performed. DATA SYNTHESIS Of 3660 citations retrieved, 16 case-control studies comprising 15 samples met inclusion criteria. The overall sample included 731 patients and 614 controls. Fasting plasma glucose levels (Hedges g = 0.20; 95% CI, 0.02 to 0.38; P = .03), plasma glucose levels after an oral glucose tolerance test (Hedges g = 0.61; 95% CI, 0.16 to 1.05; P = .007), fasting plasma insulin levels (Hedges g = 0.41; 95% CI, 0.09 to 0.72; P = .01), and insulin resistance (homeostatic model assessment of insulin resistance) (Hedges g = 0.35; 95% CI, 0.14 to 0.55; P = .001) were all significantly elevated in patients compared with controls. However, HbA1c levels (Hedges g = -0.08; CI, -0.34 to 0.18; P = .55) were not altered in patients compared with controls. CONCLUSIONS AND RELEVANCE These findings show that glucose homeostasis is altered from illness onset in schizophrenia, indicating that patients are at increased risk of diabetes as a result. This finding has implications for the monitoring and treatment choice for patients with schizophrenia.
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Affiliation(s)
- Toby Pillinger
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK
| | - Katherine Beck
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK
| | - Cristian Gobjila
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK
| | - Jacek Donocik
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK
| | - Sameer Jauhar
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK
| | - Oliver Howes
- IoPPN, King’s College London, De Crespigny Park, London, SE5 8AF, UK,MRC Clinical Sciences Centre (CSC), Du Cane Road, London W12 0NN,Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN
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