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Garner S, Barkus E, Kraeuter AK. Positive and negative schizotypy personality traits are lower in individuals on ketogenic diet in a non-clinical sample. Schizophr Res 2024; 270:423-432. [PMID: 38991418 DOI: 10.1016/j.schres.2024.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 05/07/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024]
Abstract
Schizotypal personality comprises traits such as odd beliefs, perceptual abnormalities, and social difficulties; these traits are distributed throughout the general population. While not meeting the clinical threshold for schizophrenia or schizotypal personality disorder, schizotypal personality traits still provide insights for understanding early clinical risk factors. Ketogenic diet reportedly reduces psychotic symptoms in preclinical and clinical studies. Therefore, we investigated whether ketogenic diet is associated with lower schizotypal traits in the general population. Participants following a ketogenic or other diet were recruited using opportunity sampling. Individuals completed a survey investigating general demographic, socioeconomic, health, diet and lifestyle questions, followed by the Schizotypal Personality Questionnaire - Brief Revised version (SPQ-BR). We found that individuals following a ketogenic diet (n = 118) had lower ideas of reference, magical thinking, suspiciousness, unusual perceptions, constricted affect, social anxiety scores, cognitive (positive) perceptual scores, interpersonal (negative) scores and total SPQ-BR compared to individuals on the other diets (n = 139). Magical thinking, constricted affect, social anxiety, cognitive perceptual, interpersonal scores and total SPQ-BR scores remained significant when we controlled for body mass index (BMI) and age. Disorganised features were not influenced by ketogenic diet. The longer individuals adhered to a ketogenic diet the lower their positive and negative schizotypy traits. These findings highlight that ketogenic diet is associated with lower non-clinical schizotypal personality traits. Our results suggest that ketogenic diet might have potential prophylactic properties for individuals at-risk for psychosis.
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Affiliation(s)
- Sarah Garner
- Faculty of Health and Life Sciences, Psychology, Northumbria University, Newcastle upon Tyne, UK
| | - Emma Barkus
- Faculty of Health and Life Sciences, Psychology, Northumbria University, Newcastle upon Tyne, UK
| | - Ann-Katrin Kraeuter
- Faculty of Health and Life Sciences, Psychology, Northumbria University, Newcastle upon Tyne, UK; Brain, Performance and Nutrition Research Centre, Northumbria University, Newcastle upon Tyne, UK; NUTRAN, Northumbria University, Newcastle upon Tyne, UK.
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Ma Z, Zhou HX, Chen DC, Wang DM, Zhang XY. Association between suicidal behavior and impaired glucose metabolism in first-episode drug-naïve patients with schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110900. [PMID: 38007210 DOI: 10.1016/j.pnpbp.2023.110900] [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: 05/12/2023] [Revised: 11/09/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Schizophrenia (SZ) patients have been reported to have comorbid suicidal behavior (SB) and impaired glucose metabolism in early psychosis, but it is unclear whether impaired glucose metabolism plays a role in the occurrence of SB in patients with first-episode drug-naïve (FEDN) SZ. Therefore, our main aim was to examine the relationship between SB and glucose metabolism in FEDN SZ patients. METHODS We recruited 319 FEDN SZ patients and collected information on their sociodemographic characteristics, clinical data, and glucose metabolism parameters. Participants' psychotic and depressive symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Hamilton Depression Rating Scale (HAMD), respectively. Fasting plasma glucose and insulin levels were also measured. RESULTS The percentage of FEDN SZ patients with SB was 45.5% (145/319). Compared to SZ patients without SB, SZ patients with SB exhibited higher scores on HAMD, PANSS positive subscale, as well as higher levels of fasting plasma glucose, fasting plasma insulin, and homeostasis model assessment of insulin resistance index (all p<0.05). Logistic regression analysis indicated that increased levels of insulin resistance (adjusted OR = 1.920), body mass index (adjusted OR = 0.931), and PANSS general psychopathology (adjusted OR = 1.041) were independently associated with SB. The Receiver Operating Characteristic Curve showed an Area Under Curve value of 0.732 for the combination of three factors in regression model to distinguish between SB and non-SB. CONCLUSIONS Our results indicate that fasting glucose, fasting insulin, and insulin resistance are strongly associated with SB in FEDN SZ patients, suggesting that glucose metabolism abnormalities may be potential biomarkers of SB in SZ patients. Regular monitoring of glucose metabolism variables is essential for suicide prevention.
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Affiliation(s)
- Zheng Ma
- 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
| | - Hui-Xia Zhou
- 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
| | - Da-Chun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Dong-Mei Wang
- 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.
| | - 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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Sormunen E, Saarinen MM, Salokangas RKR, Hutri-Kähönen N, Viikari J, Raitakari OT, Hietala J. Metabolic trajectories in childhood and adolescence: Effects on risk for schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:82. [PMID: 36220836 PMCID: PMC9553975 DOI: 10.1038/s41537-022-00282-4] [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: 02/06/2022] [Accepted: 09/03/2022] [Indexed: 11/09/2022]
Abstract
Abnormal glucose and lipid metabolism is common in antipsychotic-naive first-episode patients with schizophrenia, but it is unclear whether these changes can already be seen in premorbid or prodromal period, before the first psychotic episode. We examined insulin, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglyceride trajectories in children and adolescents (9-18 years old), who were later diagnosed with schizophrenia, any non-affective psychosis (NAP) or affective disorder (AD). The study population consisted of a general population-based cohort "The Cardiovascular Risk in Young Finns Study", started in 1980 (n = 3596). Psychiatric diagnoses were derived from the Health Care Register up to the year 2018. Multivariate statistical analysis indicated no significant differences in insulin or lipid levels in children and adolescents who later developed schizophrenia (n = 41) compared to the cohort control group (n = 3202). In addition, no changes in these parameters were seen in the NAP (n = 74) or AD (n = 156) groups compared to the controls, but lower triglyceride levels in childhood/adolescence associated with earlier diagnosis of psychotic disorder in the NAP group. Taken together, our results do not support any gross-level insulin or lipid changes during childhood and adolescence in individuals with later diagnosis of schizophrenia-spectrum disorder. Since changes in glucose and lipid metabolism can be observed in neuroleptic-naive patients with schizophrenia, we hypothesize that the more marked metabolic changes develop during the prodrome closer to the onset of the first psychotic episode. The findings have relevance for studies on developmental hypotheses of schizophrenia.
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Affiliation(s)
- Elina Sormunen
- grid.1374.10000 0001 2097 1371Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Maiju M. Saarinen
- grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Raimo K. R. Salokangas
- grid.1374.10000 0001 2097 1371Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Nina Hutri-Kähönen
- grid.502801.e0000 0001 2314 6254Tampere Centre for Skills Training and Simulation, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma Viikari
- grid.410552.70000 0004 0628 215XDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T. Raitakari
- grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland ,grid.410552.70000 0004 0628 215XDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Jarmo Hietala
- grid.1374.10000 0001 2097 1371Department of Psychiatry, University of Turku and Turku University Hospital, Turku, 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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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: 3.0] [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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Abstract
Depression and psychosis have a developmental component to their origin. Epidemiologic evidence, which we synthesize in this nonsystematic review, suggests that early-life infection, inflammation, and metabolic alterations could play a role in the etiology of these psychiatric disorders. The risk of depression and psychosis is associated with prenatal maternal and childhood infections, which could be mediated by impaired neurodevelopment. Evidence suggests linear dose-response associations between elevated concentrations of circulating inflammatory markers in childhood, particularly the inflammatory cytokine interleukin 6, and the risk for depression and psychosis subsequently in early adulthood. Childhood inflammatory markers are also associated with persistence of depressive symptoms subsequently in adolescence and early adulthood. Developmental trajectories reflecting persistently high insulin levels during childhood and adolescence are associated with a higher risk of psychosis in adulthood, whereas increased adiposity during and after puberty is associated with the risk of depression. Together, these findings suggest that higher levels of infection, inflammation, and metabolic alterations commonly seen in people with depression and psychosis could be a cause for, rather than simply a consequence of, these disorders. Therefore, early-life immuno-metabolic alterations, as well as factors influencing these alterations such as adversity or maltreatment, could represent targets for prevention of these psychiatric disorders. Inflammation could also be an important treatment target for depression and psychosis. The field requires further research to examine sensitive periods when exposure to such immuno-metabolic alterations is most harmful. Interventional studies are also needed to test the potential usefulness of targeting early-life immuno-metabolic alterations for preventing adult depression and psychosis.
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Zhuo C, Xu Y, Wang H, Zhou C, Liu J, Yu X, Shao H, Tian H, Fang T, Li Q, Chen J, Xu S, Ma X, Yang W, Yao C, Li B, Yang A, Chen Y, Huang G, Lin C. Clozapine induces metformin-resistant prediabetes/diabetes that is associated with poor clinical efficacy in patients with early treatment-resistant schizophrenia. J Affect Disord 2021; 295:163-172. [PMID: 34464878 DOI: 10.1016/j.jad.2021.08.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/10/2021] [Accepted: 08/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Two distinct subtypes of treatment-resistant schizophrenia (TRS) have been recently reported, including early-treatment resistance (E-TR) and late-treatment resistance (L-TR). This study was to assess clozapine-induced metformin-resistant prediabetes/diabetes and its correlation with clinical efficacy in schizophrenia E-TR subtype. METHODS This prospective cohort study enrolled 230 patients with schizophrenia E-TR subtype and they were treated with adequate doses of clozapine for 16 weeks, during which patients with prediabetes/diabetes were assigned to receive add-on metformin. The main outcomes and measures included incidence of clozapine-induced prediabetes/diabetes and metformin-resistant prediabetes/diabetes, and the efficacy of clozapine as assessed by the Positive and Negative Syndrome Scale (PANSS) score. RESULTS Clozapine-induced prediabetes/diabetes occurred in 76.52% of patients (170 prediabetes and 6 diabetes), of which the blood sugar of 43 (24.43%) patients was controlled with metformin. Despite add-on metformin, 47.06% (74/170) of prediabetes patients progressed to diabetes. In total, the incidence of clozapine-induced metformin-resistant prediabetes/diabetes was 75.57% (133/176). On completion of 16-week clozapine treatment, 16.52% (38/230) patients showed clinical improvement with PANSS scores of ≥50% declining. Furthermore, clozapine-induced prediabetes/diabetes was significantly correlated with the poor clinical efficacy of clozapine for schizophrenia E-TR subtype. CONCLUSIONS The incidence of clozapine-induced metformin-resistant prediabetes/diabetes was considerably high in the schizophrenia E-TR subtype. Clozapine-induced metformin-resistant prediabetes/diabetes represents an independent risk factor that adversely affects the clinical efficacy of clozapine for the schizophrenia E-TR subtype. This study provided new evidence for re-evaluating the use of clozapine for TRS, especially E-TR subtype, and the use of metformin for the glycemic control of clozapine-induced prediabetes/diabetes.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China.
| | - Yong Xu
- Department of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, 100191, China
| | - Chunhua Zhou
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jian Liu
- Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaocui Yu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Hailin Shao
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Tao Fang
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Qianchen Li
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jiayue Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Shuli Xu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaoyan Ma
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Weiliang Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Cong Yao
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Bo Li
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Anqu Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Yuhui Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Guoyong Huang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
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Mizuki Y, Sakamoto S, Okahisa Y, Yada Y, Hashimoto N, Takaki M, Yamada N. Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus. Int J Neuropsychopharmacol 2021; 24:367-382. [PMID: 33315097 PMCID: PMC8130204 DOI: 10.1093/ijnp/pyaa097] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/29/2020] [Accepted: 12/10/2020] [Indexed: 02/07/2023] Open
Abstract
The mortality rate of patients with schizophrenia is high, and life expectancy is shorter by 10 to 20 years. Metabolic abnormalities including type 2 diabetes mellitus (T2DM) are among the main reasons. The prevalence of T2DM in patients with schizophrenia may be epidemiologically frequent because antipsychotics induce weight gain as a side effect and the cognitive dysfunction of patients with schizophrenia relates to a disordered lifestyle, poor diet, and low socioeconomic status. Apart from these common risk factors and risk factors unique to schizophrenia, accumulating evidence suggests the existence of common susceptibility genes between schizophrenia and T2DM. Functional proteins translated from common genetic susceptibility genes are known to regulate neuronal development in the brain and insulin in the pancreas through several common cascades. In this review, we discuss common susceptibility genes, functional cascades, and the relationship between schizophrenia and T2DM. Many genetic and epidemiological studies have reliably associated the comorbidity of schizophrenia and T2DM, and it is probably safe to think that common cascades and mechanisms suspected from common genes' functions are related to the onset of both schizophrenia and T2DM. On the other hand, even when genetic analyses are performed on a relatively large number of comorbid patients, the results are sometimes inconsistent, and susceptibility genes may carry only a low or moderate risk. We anticipate future directions in this field.
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Affiliation(s)
- Yutaka Mizuki
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
- Shimonoseki Hospital
| | - Shinji Sakamoto
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
| | - Yuko Okahisa
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
| | - Yuji Yada
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
- Okayama Psychiatric Medical Center
| | - Nozomu Hashimoto
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
- Okayama Psychiatric Medical Center
| | - Manabu Takaki
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
| | - Norihito Yamada
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
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Metabolic Dysregulation and Psychosocial Stress in Patients with Schizophrenia Spectrum Disorders: A Case-Control Study. J Clin Med 2020; 9:jcm9123822. [PMID: 33255883 PMCID: PMC7760156 DOI: 10.3390/jcm9123822] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 12/12/2022] Open
Abstract
Patients with schizophrenia spectrum disorders have a reduced life expectancy, which is largely the consequence of a high co-occurrence of cardiovascular diseases. To date, several intrinsic and environmental factors underlying this phenomenon have been found. However, the association with psychosocial stress has not been extensively addressed. In this study, we tested the relationship between a history of adverse childhood experiences (ACEs), lifetime stressors, perceived stress and metabolic parameters in patients with schizophrenia spectrum disorders and in healthy controls. The participants included 85 inpatients with schizophrenia spectrum disorders and 56 healthy controls. Serum levels of glucose, insulin, low- and high-density lipoproteins (LDL and HDL), triglycerides, total cholesterol and high-sensitivity C-reactive protein (hsCRP) were determined. After adjustment for potential confounding factors, patients had significantly higher levels of glucose (F = 4.856, p = 0.030), triglycerides (F = 4.720, p = 0.032) and hsCRP (F = 7.499, p = 0.007) as well as significantly lower levels of HDL (F = 5.300, p = 0.023) compared to healthy controls. There were also significant effects of interactions between diagnosis and a history of ACEs on the levels of insulin (F = 4.497, p = 0.036) and homeostatic model assessment of insulin resistance (HOMA-IR) (F = 3.987, p = 0.048). More specifically, the levels of insulin and HOMA-IR were significantly higher in the subgroup of patients with schizophrenia spectrum disorders and a positive history of ACEs compared to other subgroups of participants. No significant associations between lifetime stressors and perceived stress with metabolic parameters were found. Our findings indicate that a history of ACEs might be associated with insulin resistance in patients with schizophrenia spectrum disorders. Therapeutic strategies targeting early-life stress should be considered with early interventions that aim to manage cardiometabolic comorbidity in patients with schizophrenia spectrum disorders.
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Chen CYA, Goh KK, Chen CH, Lu ML. The Role of Adiponectin in the Pathogenesis of Metabolic Disturbances in Patients With Schizophrenia. Front Psychiatry 2020; 11:605124. [PMID: 33551872 PMCID: PMC7854923 DOI: 10.3389/fpsyt.2020.605124] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/21/2020] [Indexed: 12/15/2022] Open
Abstract
Antipsychotic-induced metabolic disturbance is a common adverse event occurring in patients treated with antipsychotic drugs. The mechanisms underlying metabolic dysregulation are complex, involving various neurochemical and hormonal systems, the interaction of genetic and lifestyle risk factors, and the antipsychotic drug prescribed. Recently, there has been increasing interest in the relationship between antipsychotic-induced metabolic disturbances and body weight regulatory hormones such as adiponectin. Adiponectin, an adipocyte-derived protein related to insulin sensitivity, weight gain, and anti-inflammation, has attracted great attention because of its potential role of being a biomarker to predict cardiovascular and metabolic diseases. Previous studies regarding the effects of antipsychotics on blood adiponectin levels have shown controversial results. Several factors might contribute to those inconsistent results, including different antipsychotic drugs, duration of antipsychotic exposure, age, sex, and ethnicity. Here we summarize the existing evidence on the link between blood adiponectin levels and metabolic disturbances related to antipsychotic drugs in patients with schizophrenia. We further discuss the effects of individual antipsychotics, patients' gender, ethnicity, age, and treatment duration on those relationships. We propose that olanzapine and clozapine might have a time-dependent biphasic effect on blood adiponectin levels in patients with schizophrenia.
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Affiliation(s)
- Cynthia Yi-An Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Kah Kheng Goh
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
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