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Ghamri KA. Mutual effects of gestational diabetes and schizophrenia: how can one promote the other?: A review. Medicine (Baltimore) 2024; 103:e38677. [PMID: 38905391 PMCID: PMC11191934 DOI: 10.1097/md.0000000000038677] [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: 04/03/2024] [Accepted: 05/31/2024] [Indexed: 06/23/2024] Open
Abstract
Although the physical complications of gestational diabetes mellitus (GDM) are well known, emerging evidence suggests a significant link with psychiatric conditions such as schizophrenia (SCZ). This review aimed to explore the extent, nature, and implications of the association between GDM and SCZ, exploring how the 2 conditions may reciprocally influence each other. We conducted a comprehensive literature review and, analyzed clinical and mechanistic evidence supporting the mutual effects of GDM and SCZ. This review examined factors such as neurodevelopment and the impact of antipsychotics. The study found that Maternal GDM increases the risk of SCZ in offspring. Conversely, women with SCZ were more prone to hyperglycemic pregnancies. The research highlights significant regional variations in GDM prevalence, with the highest rate in the Middle East, North Africa, and South-East Asia regions. These regional variations may have an impact on the epidemiology of SCZ. Furthermore, this review identifies the potential biological and environmental mechanisms underlying these associations. There is a bidirectional relationship between GDM and SCZ, with each disorder potentially exacerbating the others. This relationship has significant implications for maternal and offspring health, particularly in regions with high GDM prevalence. These findings underline the need for integrated care approaches for women with SCZ during pregnancy and the importance of monitoring and managing GDM to mitigate the risk of SCZ in the offspring. Notably, this study recognizes the need for further research to fully understand these complex interactions and their implications for healthcare.
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Affiliation(s)
- Kholoud A. Ghamri
- Department of Internal Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
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Bae H, Lee JH, Je S, Lee SH, Choi H. Diabetic Ketoacidosis Associated With Second Generation Antipsychotics: A Case Study and Review of Literature. Psychiatry Investig 2024; 21:111-122. [PMID: 38433412 PMCID: PMC10910161 DOI: 10.30773/pi.2023.0301] [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: 09/08/2023] [Revised: 10/24/2023] [Accepted: 11/11/2023] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVE Second-generation antipsychotics (SGAs) have revolutionized the treatment of psychiatric disorders, but are associated with significant metabolic risks, including diabetes and hyperglycemic crises. This review explores the complex interplay between antipsychotics, diabetes, and hyperglycemic crises, highlighting the mechanisms underlying SGA-induced diabetes. METHODS We present the case of a patient with schizophrenia who was taking antipsychotic medication and was admitted to the emergency room due to the sudden onset of diabetic ketoacidosis (DKA) without any history of diabetes. We extensively searched databases, including Elsevier, PubMed, IEEE, SpringerLink, and Google Scholar, for papers on the effects of antipsychotic drugs on DKA from 2002 to 2021. We focused on DKA, hyperglycemia, and atypical antipsychotics, and retrieved 117 papers. After full-text review, 32 papers were included in this comprehensive review. RESULTS DKA was significantly more frequent in patients taking SGAs. Antipsychotics can induce insulin resistance either directly or through the onset of obesity. Antipsychotics can reduce insulin secretion from pancreatic β-cells, which is associated with absolute insulin deficiency. CONCLUSION As the use of antipsychotics continues to increase, understanding their risks and mechanisms is crucial for clinicians to enable informed treatment decisions and prevent potentially life-threatening complications.
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Affiliation(s)
- Heewon Bae
- Veterans Medical Research Institute, Veteran Health Service Medical Center, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Ji Hyun Lee
- Division of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Sungsuk Je
- Department of Psychiatry, The Armed Forces Hongcheon Hospital, Hongcheon, Republic of Korea
| | - Seung-Hoon Lee
- Department of Psychiatry, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Hayun Choi
- Department of Psychiatry, Veterans Health Service Medical Center, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
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3
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Sugawara N, Yasui-Furukori N, Shimoda K. Risk evaluation of diabetic ketoacidosis associated with antipsychotics among patients with schizophrenia in the Japanese adverse event report database. J Psychosom Res 2023; 175:111533. [PMID: 37866219 DOI: 10.1016/j.jpsychores.2023.111533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 10/13/2023] [Accepted: 10/15/2023] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Diabetic ketoacidosis (DKA) is a serious life-threatening condition and can be associated with antipsychotic medication. Asian patients with diabetes exhibit less insulin resistance than Caucasians; however, all previous studies concerning antipsychotic-related DKA have been conducted in Western populations. We analyzed the rank order of the association of antipsychotic agents for schizophrenia with DKA using the Japanese Adverse Drug Event Report database, a spontaneous reporting system database. METHODS We performed a retrospective pharmacovigilance disproportionality analysis using adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between April 2004 and March 2021. The study population comprised 7435 patients with schizophrenia, and the total number of antipsychotic-related DKA reports was 55. RESULTS Among the 55 cases of DKA in patients with schizophrenia, 6% (3/55) patients died after DKA. The signals of DKA were reported after treatment with olanzapine, with a significant adjusted reporting odds ratio (95% CI) of 3.26 (1.87-5.66). In 1399 olanzapine treatment cases, multivariable logistic regression analysis using a forward selection method showed that being male (adjusted RORs 2.72 (1.07-6.90)) was associated with the onset of DKA. CONCLUSION Our study revealed that treatment with olanzapine was associated with the development of DKA among patients with schizophrenia. The results also clarified that male patients were at higher risk for DKA among patients treated with olanzapine. The application of these data will aid in risk monitoring and management that may reduce the occurrence of antipsychotic-related DKA in treatment for schizophrenia.
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Affiliation(s)
- Norio Sugawara
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 321-0293, Japan.
| | - Norio Yasui-Furukori
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 321-0293, Japan
| | - Kazutaka Shimoda
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 321-0293, Japan
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Liu YC, Liao YT, Chen VCH, Chen YL. Association Between Maternal Mood Disorders and Schizophrenia and the Risk of Type 1 Diabetes in Offspring: A Nationwide Cohort Study. Neuropsychiatr Dis Treat 2023; 19:2511-2518. [PMID: 38029045 PMCID: PMC10674753 DOI: 10.2147/ndt.s437430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Our study aimed to determine whether mothers with bipolar disorder, major depressive disorder, schizophrenia, or schizoaffective disorder affected the risk of type 1 diabetes (T1D) in their offspring. Methods We conducted a nationwide cohort study by using data from Taiwan's National Health Insurance Research Database and the Maternal and Child Health Database from 2004 to 2018. A total of 2,556,640 mother-child pairs were identified. Cox proportional hazards models were used to compare the risk of T1D between children born to mothers with mood disorders and schizophrenia and those without. Results No significant difference in risk of T1D was observed between the offspring of mothers with major psychiatric disorders and those without (adjusted hazard ratio (aHR) of 0.86 with a 95% confidence interval (CI) of 0.58-1.24). In subgroup analysis, we found an aHR of 1.81 with a 95% CI of 0.83-3.82 in the maternal bipolar disorder on the risk of T1D in offspring and an aHR of 0.87 (95% CI: 0.59-1.25) in maternal major depressive disorder. In the schizophrenia/schizoaffective disorder group, aHR cannot be obtained due to lesser than three events in the analysis. Conclusion The risk of T1D in offspring of mothers with mood disorders and schizophrenia was not significant. However, children born to mothers with bipolar disorder may have a tendency to develop T1D. The relationship between maternal psychiatric disorders and the risk of T1D in offspring warrants further investigation in studies with longer follow-up periods.
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Affiliation(s)
- Yi-Chun Liu
- Department of Psychiatry, Changhua Christian Children’s Hospital, Changhua, 500, Taiwan
- Department of Psychiatry, Changhua Christian Hospital, Changhua, 500, Taiwan
- Department of Healthcare Administration, Asia University, Taichung, 413, Taiwan
- Department of Eldercare, Central Taiwan University of Science and Technology, Taichung, Taiwan
| | - Yin-To Liao
- Department of Psychiatry, China Medical University Hospital, Taichung, 404, Taiwan
- China Medical University, Taichung, 406, Taiwan
| | - Vincent Chin-Hung Chen
- School of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Psychiatry, Chiayi Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Yi-Lung Chen
- Department of Healthcare Administration, Asia University, Taichung, 413, Taiwan
- Department of Psychology, Asia University, Taichung, 413, Taiwan
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Liu S, Lagerberg T, Ludvigsson JF, Taylor MJ, Chang Z, D’Onofrio BM, Larsson H, Lichtenstein P, Gudbjörnsdottir S, Kuja-Halkola R, Butwicka A. Psychotropic Medication Use in Children and Adolescents With Type 1 Diabetes. JAMA Netw Open 2023; 6:e2336621. [PMID: 37787995 PMCID: PMC10548296 DOI: 10.1001/jamanetworkopen.2023.36621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/22/2023] [Indexed: 10/04/2023] Open
Abstract
Importance Children and adolescents with type 1 diabetes (T1D) face elevated risks of psychiatric disorders. Despite their nonnegligible adverse effects, psychotropic medications are a common cost-effective approach to alleviating psychiatric symptoms, but evidence regarding their dispensation to children and adolescents with T1D remains lacking. Objective To examine the trends and patterns of psychotropic medication dispensation among children and adolescents with T1D in Sweden between 2006 and 2019. Design, Setting, and Participants This cohort study used data from multiple Swedish registers. The main study cohort included children and adolescents residing in Sweden from 2006 to 2019 and was followed up until the earliest of December 31, 2019, 18th birthday, emigration, or death. Data analyses were conducted from November 1, 2022, to April 30, 2023. Exposures Type 1 diabetes. Main Outcomes and Measures The primary outcomes were trends and patterns of psychotropic medication dispensation (including antipsychotics, antidepressants, anxiolytics, hypnotics, mood stabilizers, and medications for attention-deficit/hyperactivity disorder [ADHD]), psychotropic medication initiation, and history of neurodevelopmental and psychiatric diagnosis. Cumulative incidence curves and Cox proportional hazard models were used to estimate the aggregated incidence and hazard ratios of medication initiation after diabetes onset. Results Of 3 723 745 children and adolescents (1 896 199 boys [50.9%]), 13 200 (0.4%; 7242 boys [54.9%]) had T1D (median [IQR] age at diagnosis, 11.1 [7.6-14.7] years). Between 2006 and 2019, psychotropic medication dispensation increased from 0.85% (95% CI, 0.65%-1.10%) to 3.84% (3.11%-4.69%) among children and from 2.72% (95% CI, 2.15%-3.39%) to 13.54% (95% CI, 12.88%-14.23%) among adolescents with T1D, consistently higher than their peers without T1D. The most commonly dispensed medications included hypnotics, ADHD medications, anxiolytics, and selective serotonin reuptake inhibitors, and all exhibited increasing trends. For those with T1D, psychiatric care was the primary prescription source, and up to 50.1% of treatments lasted more than 12 months. In addition, children and adolescents with T1D showed higher cumulative incidence and hazard ratios of medication initiation after diabetes onset than their same-age and same-sex counterparts. Conclusions and Relevance This cohort study found an increasing trend in psychotropic medication dispensation among children and adolescents with T1D from 2006 to 2019, persistently higher than those without T1D. These findings call for further in-depth investigations into the benefits and risks of psychotropic medications within this population and highlight the importance of integrating pediatric diabetes care and mental health care for early detection of psychological needs and careful monitoring of medication use.
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Affiliation(s)
- Shengxin Liu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Tyra Lagerberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, United Kingdom
| | - Jonas F. Ludvigsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
- Department of Paediatrics, Örebro University Hospital, Örebro, Sweden
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Mark J. Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Brian M. D’Onofrio
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
- Department of Psychological and Brain Sciences, Indiana University, Bloomington
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Soffia Gudbjörnsdottir
- Swedish National Diabetes Register, Centre of Registers, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Agnieszka Butwicka
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health Services, R&D Department, Akershus University Hospital, Lørenskog, Norway
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
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Vasiliu O. Impact of SGLT2 inhibitors on metabolic status in patients with psychiatric disorders undergoing treatment with second‑generation antipsychotics (Review). Exp Ther Med 2023; 25:125. [PMID: 36845949 PMCID: PMC9947579 DOI: 10.3892/etm.2023.11824] [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: 07/27/2022] [Accepted: 01/24/2023] [Indexed: 02/08/2023] Open
Abstract
Metabolic dysfunctions have been reported in patients diagnosed with severe mental illnesses who are undergoing treatment with antipsychotics, especially second-generation agents. Sodium-glucose co-transporter 2 inhibitors (SGLT2Is) and glucagon-like peptide receptor agonists are new-generation antidiabetics whose favourable effects in the treatment of diabetes mellitus in the non-psychiatric population may raise interest in their use in patients presenting with severe mental illnesses and metabolic comorbidities possibly related to the use of antipsychotics. The objectives of this review were to investigate the evidence to support the use of SGLT2Is in this population and to find the most important aspects that need to be addressed by future research. A total of one preclinical trial, two guideline-format clinical recommendations, one systematic review and one case report were found, and their conclusions were analysed. The results support the following conclusions: i) SGLT2Is may be combined with metformin in selected cases of type 2 diabetes mellitus in the context of antipsychotic treatment, as they have been associated with favourable metabolic effects; and ii) data for the recommendation of SGLT2Is as second-line treatment in patients with diabetes mellitus who are also treated with olanzapine or clozapine are supported by very limited preclinical and clinical evidence. Further high-quality, large-scale research is needed in the field of the management of metabolic dysfunctions in patients with severe psychiatric illnesses who undergo treatment with second-generation antipsychotics.
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Affiliation(s)
- Octavian Vasiliu
- Department of Psychiatry, ‘Dr Carol Davila’ University Emergency Central Military Hospital, 010816 Bucharest, Romania,Correspondence to: Dr Octavian Vasiliu, Department of Psychiatry, ‘Dr Carol Davila’ University Emergency Central Military Hospital, 88 Mircea Vulcanescu Street, Bucharest 010816, Romania
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Grover S, Sarkar S, Avasthi A. Management of Systemic Medical Emergencies Associated with Psychotropic Medications. Indian J Psychiatry 2022; 64:S252-S280. [PMID: 35602374 PMCID: PMC9122155 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_1014_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 12/31/2021] [Accepted: 01/01/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
| | | | - Ajit Avasthi
- Consultant Psychiatrist, Fortis Hospital, Mohali and Chhuttani Medical Centre, Chandigarh, India
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Ouyang F, He J, Cheng X, Zhou W, Xiao S, Fang J. Antipsychotic-Related Risks of Type 2 Diabetes Mellitus in Enrollees With Schizophrenia in the National Basic Public Health Service Program in Hunan Province, China. Front Psychiatry 2022; 13:754775. [PMID: 35280179 PMCID: PMC8909132 DOI: 10.3389/fpsyt.2022.754775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Antipsychotics contribute to the development of type 2 diabetes mellitus (T2DM) in individuals with schizophrenia. However, the extent of the relationship between antipsychotic use and T2DM varies in different settings, and the magnitude of the drug-specific effects fluctuates widely. This study aimed to explore the association of T2DM with antipsychotic use among enrollees with schizophrenia in China's National Basic Public Health Service Program (NBPHSP) and the drug-specific relationship with T2DM among patients receiving antipsychotic monotherapy. METHODS We recruited diabetes-free patients with schizophrenia who were enrolled in the NBPHSP of Hunan Province from October 2009 to December 2018. The participants were classified into the following three groups: regular antipsychotic use, intermittent antipsychotic use, and antipsychotic-free groups. The patients were followed up until they received a T2DM diagnosis or until April 2019. Cox regression models were constructed to calculate the overall and drug-specific hazard ratios (HRs) to determine the antipsychotic-T2DM relationship. Interactive and subgroup analyses were performed to assess the heterogeneity of the effects across subgroups. RESULTS A total of 122,064 NBPHSP enrollees with schizophrenia were followed up for 1,507,829 cumulative person-years, and 2,313 (1.89%) patients developed T2DM. Patients who regularly and intermittently used antipsychotics had 117% (HR: 2.17, 95% CI: 1.83-2.57) and 53% (HR: 1.53, 95% CI: 1.23-1.90) higher risks of developing T2DM than antipsychotic-free patients, respectively. Regarding monotherapy, the T2DM risk increased by 66, 80, 62, and 64% after the regular use of clozapine, risperidone, chlorpromazine, and perphenazine, respectively. In addition, the antipsychotic-related risk of T2DM decreased as the patient's baseline body mass index, and baseline fasting plasma glucose level, as well as the dietary proportion of animal products, increased. CONCLUSION Antipsychotics, especially clozapine, risperidone, chlorpromazine, and perphenazine, increased the T2DM risk among NBPHSP enrollees with schizophrenia. Mental health officers should accurately identify enrollees at a high risk of T2DM and take appropriate preventive measures to reduce the incidence of T2DM among patients with schizophrenia.
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Affiliation(s)
- Feiyun Ouyang
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jun He
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Wei Zhou
- Research Center for Public Health and Social Security, School of Public Administration, Hunan University, Changsha, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Junqun Fang
- Department of Health Management, Maternal and Child Health Hospital of Hunan Province, Changsha, China
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Yi W, Sylvester E, Lian J, Deng C. Kidney plays an important role in ketogenesis induced by risperidone and voluntary exercise in juvenile female rats. Psychiatry Res 2021; 305:114196. [PMID: 34488011 DOI: 10.1016/j.psychres.2021.114196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/16/2021] [Accepted: 08/28/2021] [Indexed: 11/27/2022]
Abstract
The positive role of ketone bodies in the treatment for mental disorders has been demonstrated. Ketogenesis can be triggered by not only exercise and diet but also metabolic disorders. This study aimed to explore the role of risperidone and exercise in ketogenesis. Thirty-two juvenile female Sprague Dawley rats were randomly assigned into four groups: Vehicle-Sedentary, Risperidone (0.9 mg/kg; b.i.d)-Sedentary, Vehicle-Exercise (three hours daily access to running wheels) and Risperidone-Exercise groups for four weeks. Exercise-intervention significantly ameliorated the risperidone-induced increase in white adipose mass, fasting plasma triglyceride and insulin levels. Compared to the vehicle-exercise group, the risperidone-exercise group had significantly higher plasma β-hydroxybutyrate (β-HB) level, which had a positive correlation with plasma non-esterified fatty acid levels. Risperidone-treatment upregulated expression of ketogenic key enzyme, mitochondrial 3-hydroxy-3-methyl-glutaryl-CoA synthase 2 (HMGCS2) in the kidney rather than liver. Exercise-intervention significantly enhanced renal carnitine palmitoyltransferase1A (CPT1A) expression. These results suggested that the kidney plays an important role in ketogenesis associated with risperidone and exercise. Therefore, it is important to monitor the levels of plasma ketone bodies while exercise intervention is utilized to prevent risperidone-induced metabolic disorders in young people.
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Affiliation(s)
- Weijie Yi
- Department of Nutrition and Food Hygiene, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong 264003, China; Antipsychotic Research Laboratory, Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia; School of Medicine and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Emma Sylvester
- Antipsychotic Research Laboratory, Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia; School of Medicine and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Jiamei Lian
- Antipsychotic Research Laboratory, Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia; School of Medicine and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Chao Deng
- Antipsychotic Research Laboratory, Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia; School of Medicine and Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia.
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Cernea S, Dima L, Correll CU, Manu P. Pharmacological Management of Glucose Dysregulation in Patients Treated with Second-Generation Antipsychotics. Drugs 2021; 80:1763-1781. [PMID: 32930957 DOI: 10.1007/s40265-020-01393-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Fasting hyperglycemia, impaired glucose tolerance, prediabetes, and diabetes are frequently present in patients treated with second-generation antipsychotics (SGAPs) for schizophrenia, bipolar disorder, and other severe mental illnesses. These drugs are known to produce weight gain, which may lead to insulin resistance, glucose intolerance, and metabolic syndrome, which constitute important risk factors for the emergence of diabetes. The aim of this review was to formulate therapeutic guidelines for the management of diabetes in patients treated with SGAPs, based on the association between SGAP-induced weight gain and glucose dysregulation. A systematic search in PubMed from inception to March 2020 for randomized controlled trials (RCTs) of diabetes or prediabetes in patients treated with SGAPs was performed. PubMed was also searched for the most recent clinical practice guidelines of interventions for co-morbid conditions associated with diabetes mellitus (DM) (arterial hypertension and dyslipidemia), lifestyle interventions and switching from high metabolic liability SGAPs to safer SGAPs. The search identified 14 RCTs in patients treated with SGAPs. Drug therapy using metformin as first-line therapy and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) or perhaps sodium-glucose cotransporter-2 (SGLT2) inhibitors as add-on therapy, might be preferred in these patients as well, as they favorably influence glucose metabolism and body mass index, and provide cardio-renal benefits in general to the DM population, although for the SGLT-2 inhibitors there are no RCTs in this specific patient category so far. Metformin is also useful for treatment of prediabetes. Arterial hypertension should be treated with angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers, and statins should be used for correction of dyslipidemia. The outcome of lifestyle-changing interventions has been disappointing. Switching from clozapine, olanzapine, or quetiapine to lower cardiometabolic-risk SGAPs, like aripiprazole, brexpiprazole, cariprazine, lurasidone, or ziprasidone, has been recommended.
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Affiliation(s)
- Simona Cernea
- Faculty of Medicine/Department M4/Internal Medicine IV, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Târgu Mureș, Romania.,Diabetes, Nutrition and Metabolic Diseases Outpatient Unit, Emergency County Clinical Hospital, Târgu Mureş, Romania
| | - Lorena Dima
- Department of Fundamental Disciplines and Clinical Prevention, Faculty of Medicine, Universitatea Transilvania, Nicolae Balcescu Str 59, Brașov, 500019, Romania.
| | - Christoph U Correll
- Charite Universitaetsmedizin, Department of Child and Adolescent Psychiatry, Berlin, and Campus Virchow-Klinikum, Mittelallee 5A, Berlin, 13353, Germany.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.,Department of Psychiatry and Molecular Medicine, Zucker Hillside Hospital, Northwell Health System, Glen Oaks, NY, USA
| | - Peter Manu
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA.,Department of Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA.,South Oaks Hospital, Northwell Health System, Amityville, NY, USA
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11
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Polcwiartek C, Kragholm K, Hansen SM, Atwater BD, Friedman DJ, Barcella CA, Graff C, Nielsen JB, Pietersen A, Nielsen J, Søgaard P, Torp-Pedersen C, Jensen SE. Electrocardiogram Characteristics and Their Association With Psychotropic Drugs Among Patients With Schizophrenia. Schizophr Bull 2020; 46:354-362. [PMID: 31219596 PMCID: PMC7442389 DOI: 10.1093/schbul/sbz064] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND There are limited data on electrocardiogram (ECG) characteristics and their association with psychotropic drugs in schizophrenia. METHODS Using a cross-sectional design, we included Danish primary care patients with first-time digital ECGs from 2001 to 2015. Patients diagnosed with schizophrenia before ECG recording were matched 1:5 on age, sex, and ECG recording year to controls without psychiatric disease. Multivariable logistic regression was used to compute odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS We included 4486 patients with schizophrenia matched with 22 430 controls (median age, 47 years; male, 55%). Between groups, the prevalence of abnormal ECGs was similar (54%, P = .536), but patients with schizophrenia demonstrated higher median heart rate (79 vs 69 beats per minute, P < .001) and Fridericia-corrected QT (QTc) interval (416 vs 412 ms, P < .001) than controls. QTc prolongation was also more prevalent among patients with schizophrenia (3.4% vs 1.1%, P < .001), and so were pathological Q waves (5.3% vs 3.9%, P < .001). Patients with schizophrenia less frequently demonstrated left ventricular hypertrophy (6.1% vs 9.6%, P < .001) and atrial fibrillation or flutter (0.7% vs 1.4%, P < .001). Among patients with schizophrenia only, particularly antipsychotics were associated with abnormal ECGs (OR, 1.20; 95% CI, 1.04-1.39). CONCLUSIONS Patients with schizophrenia demonstrate a different cardiovascular risk profile than matched controls without psychiatric disease, with higher prevalence of elevated heart rate, QTc prolongation, and pathological Q waves, and lower prevalence of left ventricular hypertrophy and atrial fibrillation or flutter. Particularly antipsychotics were associated with abnormal ECGs. This underscores an integrated care approach when ECG abnormalities are detected in this group.
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Affiliation(s)
- Christoffer Polcwiartek
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
- Division of Cardiology, Duke University Medical Center, Durham, NC
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark
- To whom correspondence should be addressed; Department of Cardiology, Aalborg University Hospital, Hobrovej 18–22, DK-9000 Aalborg, Denmark; e-mail:
| | - Kristian Kragholm
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark
- Department of Cardiology, North Denmark Regional Hospital, Hjørring, Denmark
| | - Steen M Hansen
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
| | - Brett D Atwater
- Division of Cardiology, Duke University Medical Center, Durham, NC
| | | | - Carlo A Barcella
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Copenhagen, Denmark
| | - Claus Graff
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jonas B Nielsen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Adrian Pietersen
- Copenhagen General Practitioners’ Laboratory, Copenhagen, Denmark
| | - Jimmi Nielsen
- Mental Health Center Glostrup, Copenhagen University Hospital Glostrup, Copenhagen, Denmark
| | - Peter Søgaard
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Svend E Jensen
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Second-Generation Antipsychotics and Dysregulation of Glucose Metabolism: Beyond Weight Gain. Cells 2019; 8:cells8111336. [PMID: 31671770 PMCID: PMC6912706 DOI: 10.3390/cells8111336] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 10/25/2019] [Accepted: 10/26/2019] [Indexed: 02/06/2023] Open
Abstract
Second-generation antipsychotics (SGAs) are the cornerstone of treatment for schizophrenia because of their high clinical efficacy. However, SGA treatment is associated with severe metabolic alterations and body weight gain, which can increase the risk of type 2 diabetes and cardiovascular disease, and greatly accelerate mortality. Several underlying mechanisms have been proposed for antipsychotic-induced weight gain (AIWG), but some studies suggest that metabolic changes in insulin-sensitive tissues can be triggered before the onset of AIWG. In this review, we give an outlook on current research about the metabolic disturbances provoked by SGAs, with a particular focus on whole-body glucose homeostasis disturbances induced independently of AIWG, lipid dysregulation or adipose tissue disturbances. Specifically, we discuss the mechanistic insights gleamed from cellular and preclinical animal studies that have reported on the impact of SGAs on insulin signaling, endogenous glucose production, glucose uptake and insulin secretion in the liver, skeletal muscle and the endocrine pancreas. Finally, we discuss some of the genetic and epigenetic changes that might explain the different susceptibilities of SGA-treated patients to the metabolic side-effects of antipsychotics.
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He MR, Shen YC. Antipsychotic exposure duration and prediction of risk of hyperglycaemic crisis episodes: Drs He and Shen reply. DIABETES & METABOLISM 2019; 46:257-258. [PMID: 31386901 DOI: 10.1016/j.diabet.2019.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 07/26/2019] [Indexed: 10/26/2022]
Affiliation(s)
- M-R He
- Department of Psychiatry, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
| | - Y-C Shen
- Department of Psychiatry, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan; School of Medicine, Tzu Chi University, Hualien, Taiwan.
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Polcwiartek C. Antipsychotic exposure duration and prediction of risk of hyperglycaemic crisis episodes: More than just time. DIABETES & METABOLISM 2019; 46:256. [PMID: 31323367 DOI: 10.1016/j.diabet.2019.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 07/07/2019] [Indexed: 10/26/2022]
Affiliation(s)
- C Polcwiartek
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark; Division of Cardiology, Duke University Medical Center, Durham, NC, USA; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
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Risk of hyperglycaemic crisis episode in diabetic patients with schizophrenia: A nationwide population-based cohort study. DIABETES & METABOLISM 2019; 46:41-45. [PMID: 31200113 DOI: 10.1016/j.diabet.2019.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/29/2019] [Accepted: 06/03/2019] [Indexed: 11/20/2022]
Abstract
AIM Under-management of diabetes can lead to a hyperglycaemic episode (HCE), which could be further strengthened in the presence of schizophrenia and the use of antipsychotics. This study aims to investigate the risk of HCE in diabetic patients with schizophrenia. Additionally, the duration of antipsychotic use on the risk of HCE is examined. MATERIALS AND METHODS A total of 13858 diabetic patients with schizophrenia and 55407 controls (without schizophrenia) matched by gender, age, index year, and Charlson Comorbidity Index score were included between 1999 and 2010 and followed to the end of 2013 using from the Taiwan National Health Insurance Research Database. During the follow-up period, participants who developed HCE were identified. Cox regression analysis was used to calculate the hazard ratio (HR) with 95% confidence interval (95% CI) of the HCE incidence rate between the two groups studied. RESULTS Diabetic patients with schizophrenia were associated with an increased risk of HCE compared with unaffected controls after adjusted for baseline demographics and duration of antipsychotic use (4.73 versus 2.43 per 1,000 person-years, HR: 2.16, 95% CI: 1.85-2.51). Also, in diabetic patients with schizophrenia, a longer duration of antipsychotic use was associated with a lower risk of HCE after adjustment for the above-mentioned variables, suggesting a protective effect of antipsychotics against HCE during prolonged use. CONCLUSION This study highlights the need to pay more attention to the risk of HCE in diabetic patients with schizophrenia and the importance of proper use of antipsychotics may reduce the risk of HCE.
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Whicher CA, Price HC, Holt RIG. Mechanisms in endocrinology: Antipsychotic medication and type 2 diabetes and impaired glucose regulation. Eur J Endocrinol 2018; 178:R245-R258. [PMID: 29559497 DOI: 10.1530/eje-18-0022] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 03/15/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVE There have been concerns about the effects of antipsychotics on weight gain and the development of type 2 diabetes (T2DM). This article aims to provide an up-to-date review on the evidence addressing this issue and the practical implications for the management of people taking antipsychotics in the context of T2DM. METHODS We carried out searches on MEDLINE/PUBMED and the ClinicalTrials.gov website in August 2017 using the terms 'antipsychotic' and 'diabetes' or 'glucose' citing articles published after 2006 preferentially. RESULTS Antipsychotics are associated with T2DM and are likely to exert a causal effect of uncertain magnitude. Children and adolescents appear especially vulnerable to these metabolic effects; as T2DM is not common in healthy younger people, the relative risk is more apparent. Antipsychotics act on glucose and insulin homeostasis in a variety of direct and indirect mechanisms. To reduce the increasing health inequalities among individuals with mental illness screening, monitoring and prevention of T2DM is important, as is improved diabetes care in this population. CONCLUSION It remains unclear whether these antipsychotic medications exacerbate an underlying predisposition to the development of T2DM or have a direct effect. Potential risks need to be weighed up and balanced between improved and lasting mental health benefits and any detrimental physical health side effects. Achieving parity of esteem between mental and physical health is a worldwide priority if we wish to improve life expectancy and quality of life in people with severe mental illness.
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Affiliation(s)
- Clare A Whicher
- Research and Development Department, Tom Rudd Unit, Moorgreen Hospital, Southampton, UK
| | - Hermione C Price
- Research and Development Department, Tom Rudd Unit, Moorgreen Hospital, Southampton, UK
| | - Richard I G Holt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
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