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McIntyre RS, Kwan ATH, Rosenblat JD, Teopiz KM, Mansur RB. Psychotropic Drug-Related Weight Gain and Its Treatment. Am J Psychiatry 2024; 181:26-38. [PMID: 38161305 DOI: 10.1176/appi.ajp.20230922] [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] [Indexed: 01/03/2024]
Abstract
Psychotropic drug-related weight gain (PDWG) is a common occurrence and is highly associated with non-initiation, discontinuation, and dissatisfaction with psychiatric drugs. Moreover, PDWG intersects with the elevated risk for obesity and associated morbidity that has been amply reported in the psychiatric population. Evidence indicates that differential liability for PDWG exists for antipsychotics, antidepressants, and anticonvulsants. During the past two decades, agents within these classes have become available with significantly lower or no liability for PDWG and as such should be prioritized. Although lithium is associated with weight gain, the overall extent of weight gain is significantly lower than previously estimated. The benefit of lifestyle and behavioral modification for obesity and/or PDWG in psychiatric populations is established, with effectiveness similar to that in the general population. Metformin is the most studied pharmacological treatment in the prevention and treatment of PDWG, and promising data are emerging for glucagon-like peptide-1 (GLP-1) receptor agonists (e.g., liraglutide, exenatide, semaglutide). Most pharmacologic antidotes for PDWG are supported with low-confidence data (e.g., topiramate, histamine-2 receptor antagonists). Future vistas for pharmacologic treatment for PDWG include large, adequately controlled studies with GLP-1 receptor agonists and possibly GLP-1/glucose-dependent insulinotropic polypeptide co-agonists (e.g., tirzepatide) as well as specific dietary modifications.
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Affiliation(s)
- Roger S McIntyre
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Angela T H Kwan
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Joshua D Rosenblat
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Kayla M Teopiz
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Rodrigo B Mansur
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
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2
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Eder J, Simon MS, Glocker C, Musil R. [Weight gain and treatment with psychotropic drugs : Background and management]. DER NERVENARZT 2023; 94:859-869. [PMID: 37672085 DOI: 10.1007/s00115-023-01534-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/21/2023] [Indexed: 09/07/2023]
Abstract
Psychotropic drug-induced weight gain (PIWG) is a well-known and frequent side effect which is relevant for the prognosis of patients. Individual medications have varying risks for the occurrence of PIWG, and at the same time there are individual risk factors on the part of patients, such as age, gender, metabolic and genetic factors. As the metabolic changes in the context of PIWG result in increased mortality in the long term, it is important to prevent PIWG by appropriate prevention and to intervene in a targeted manner if PIWG has already occurred. Appropriate monitoring is therefore essential. This article provides an overview of underlying mechanisms, risk constellations and possible countermeasures.
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Affiliation(s)
- J Eder
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
| | - M S Simon
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
| | - C Glocker
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland.
| | - R Musil
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
- Oberberg Fachklinik Bad Tölz, Bad Tölz, Deutschland
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3
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Fukuyama K, Motomura E, Okada M. A Novel Gliotransmitter, L-β-Aminoisobutyric Acid, Contributes to Pathophysiology of Clinical Efficacies and Adverse Reactions of Clozapine. Biomolecules 2023; 13:1288. [PMID: 37759688 PMCID: PMC10526296 DOI: 10.3390/biom13091288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Clozapine is listed as one of the most effective antipsychotics and has been approved for treating treatment-resistant schizophrenia (TRS); however, several type A and B adverse reactions, including weight gain, metabolic complications, cardiotoxicity, convulsions, and discontinuation syndromes, exist. The critical mechanisms of clinical efficacy for schizophrenia, TRS, and adverse reactions of clozapine have not been elucidated. Recently, the GABA isomer L-β-aminoisobutyric acid (L-BAIBA), a protective myokine in the peripheral organs, was identified as a candidate novel transmission modulator in the central nervous system (CNS). L-BAIBA activates adenosine monophosphate-activated protein kinase (AMPK) signalling in both the peripheral organs and CNS. Activated AMPK signalling in peripheral organs is an established major target for treating insulin-resistant diabetes, whereas activated AMPK signalling in the hypothalamus contributes to the pathophysiology of weight gain and metabolic disturbances. Clozapine increases L-BAIBA synthesis in the hypothalamus. In addition, the various functions of L-BAIBA in the CNS have recently been elucidated, including as an activator of GABA-B and group-III metabotropic glutamate (III-mGlu) receptors. Considering the expressions of GABA-B and III-mGlu receptors (localised in the presynaptic regions), the activation of GABA-B and III-mGlu receptors can explain the distinct therapeutic advantages of clozapine in schizophrenia or TRS associated with N-methyl-D-aspartate (NMDA) receptor disturbance compared with other atypical antipsychotics via the inhibition of the persistent tonic hyperactivation of thalamocortical glutamatergic transmission in the prefrontal cortex. L-BAIBA has also been identified as a gliotransmitter, and a detailed exploration of the function of L-BAIBA in tripartite synaptic transmission can further elucidate the pathophysiology of effectiveness for treating TRS and/or specific adverse reactions of clozapine.
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Affiliation(s)
| | | | - Motohiro Okada
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan; (K.F.); (E.M.)
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Fukuyama K, Motomura E, Okada M. Enhanced L-β-Aminoisobutyric Acid Is Involved in the Pathophysiology of Effectiveness for Treatment-Resistant Schizophrenia and Adverse Reactions of Clozapine. Biomolecules 2023; 13:biom13050862. [PMID: 37238731 DOI: 10.3390/biom13050862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Clozapine is an effective antipsychotic for the treatment of antipsychotic-resistant schizophrenia; however, specific types of A/B adverse effects and clozapine-discontinuation syndromes are also well known. To date, both the critical mechanisms of clinical actions (effective for antipsychotic-resistant schizophrenia) and the adverse effects of clozapine remain to be elucidated. Recently, we demonstrated that clozapine increased the synthesis of L-β-aminoisobutyric acid (L-BAIBA) in the hypothalamus. L-BAIBA is an activator of the adenosine monophosphate-activated protein kinase (AMPK), glycine receptor, GABAA receptor, and GABAB receptor (GABAB-R). These targets of L-BAIBA overlap as potential targets other than the monoamine receptors of clozapine. However, the direct binding of clozapine to these aminoacidic transmitter/modulator receptors remains to be clarified. Therefore, to explore the contribution of increased L-BAIBA on the clinical action of clozapine, this study determined the effects of clozapine and L-BAIBA on tripartite synaptic transmission, including GABAB-R and the group-III metabotropic glutamate receptor (III-mGluR) using cultured astrocytes, as well as on the thalamocortical hyper-glutamatergic transmission induced by impaired glutamate/NMDA receptors using microdialysis. Clozapine increased astroglial L-BAIBA synthesis in time/concentration-dependent manners. Increased L-BAIBA synthesis was observed until 3 days after clozapine discontinuation. Clozapine did not directly bind III-mGluR or GABAB-R, whereas L-BAIBA activated these receptors in the astrocytes. Local administration of MK801 into the reticular thalamic nucleus (RTN) increased L-glutamate release in the medial frontal cortex (mPFC) (MK801-evoked L-glutamate release). Local administration of L-BAIBA into the mPFC suppressed MK801-evoked L-glutamate release. These actions of L-BAIBA were inhibited by antagonists of III-mGluR and GABAB-R, similar to clozapine. These in vitro and in vivo analyses suggest that increased frontal L-BAIBA signaling likely plays an important role in the pharmacological actions of clozapine, such as improving the effectiveness of treating treatment-resistant schizophrenia and several clozapine discontinuation syndromes via the activation of III-mGluR and GABAB-R in the mPFC.
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Affiliation(s)
- Kouji Fukuyama
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
| | - Eishi Motomura
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
| | - Motohiro Okada
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
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Ye W, Xing J, Yu Z, Hu X, Zhao Y. Mechanism and treatments of antipsychotic-induced weight gain. Int J Obes (Lond) 2023; 47:423-433. [PMID: 36959286 DOI: 10.1038/s41366-023-01291-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/25/2023]
Abstract
The long-term use of antipsychotics (APs) may cause a variety of diseases, such as metabolic syndrome, antipsychotic-induced weight gain (AIWG), and even obesity. This paper reviews the various mechanisms of AIWG and obesity in detail, involving genetics, the central nervous system, the neuroendocrine system, and the gut microbiome. The common drug and non-drug therapies used in clinical practice are also introduced, providing the basis for research on the molecular mechanisms and the future selection of treatments.
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Affiliation(s)
- Wujie Ye
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Jingyu Xing
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Zekai Yu
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Xingang Hu
- Internal encephalopathy of traditional Chinese medicine, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, 100078, China.
| | - Yan Zhao
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
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Severe psychiatric disorders and general medical comorbidities: inflammation-related mechanisms and therapeutic opportunities. Clin Sci (Lond) 2022; 136:1257-1280. [PMID: 36062418 DOI: 10.1042/cs20211106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/16/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
Individuals with severe psychiatric disorders, such as mood disorders and schizophrenia, are at increased risk of developing other medical conditions, especially cardiovascular and metabolic diseases. These medical conditions are underdiagnosed and undertreated in these patients contributing to their increased morbidity and mortality. The basis for this increased comorbidity is not well understood, possibly reflecting shared risks factors (e.g. lifestyle risk factors), shared biological mechanisms and/or reciprocal interactions. Among overlapping pathophysiological mechanisms, inflammation and related factors, such as dysbiosis and insulin resistance, stand out. Besides underlying the association between psychiatric disorders and cardiometabolic diseases, these mechanisms provide several potential therapeutic targets.
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Zheng W, Jiang WL, Zhang X, Cai DB, Sun JW, Yin F, Ren PC, Zhao M, Wu HW, Xiang YQ, Liang WN, Zheng W. Use of the RBANS to Evaluate Cognition in Patients with Schizophrenia and Metabolic Syndrome: a Meta-Analysis of Case-Control Studies. Psychiatr Q 2022; 93:137-149. [PMID: 33751356 DOI: 10.1007/s11126-021-09889-9] [Citation(s) in RCA: 2] [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] [Accepted: 01/25/2021] [Indexed: 12/26/2022]
Abstract
Schizophrenia is associated with an increased risk of metabolic syndrome (MetS), which is an important risk factor for developing cognitive impairment in the general population. A few case-control studies have explored the relationship between MetS and cognitive deficits in individuals with schizophrenia but with inconsistent findings. This meta-analysis of case-control studies was carried out to explore the association between MetS and cognitive performance in patients with schizophrenia. Only case-control studies assessing the association of cognitive function and MetS in patients with schizophrenia were identified. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) scale. Six case-control studies (n = 992) comparing cognition between patients with schizophrenia with MetS (n = 426) and those without MetS (n = 566) using the RBANS were identified. Compared to patients with schizophrenia without MetS, patients with schizophrenia and MetS had significantly more impairments in RBANS total scores [standardized mean difference (SMD) = -0.26, 95% confidence interval (CI): -0.51 to -0.02; I2 = 72%; p = 0.03], immediate memory (SMD = -0.32, 95% CI: -0.54 to -0.10; I2 = 66%; p = 0.005), attention (SMD = -0.29, 95% CI: -0.56 to -0.02; I2 = 77%; p = 0.03), and delayed memory (SMD = -0.24, 95% CI: -0.46 to -0.03; I2 = 64%; p = 0.03). No group difference was found regarding visuospatial skills and language (p > 0.05). This meta-analysis found that schizophrenia patients with MetS had worse performance on certain cognitive tasks than non-MetS patients.
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Affiliation(s)
- Wei Zheng
- Xiamen Xian Yue Hospital, Xiamen, China
| | | | - Xun Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Dong-Bin Cai
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Jia-Wei Sun
- The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Fei Yin
- Harbin Medical University Daqing Campus, Daqing, China
| | | | - Min Zhao
- Shanghai Mental Health Center, Jiao Tong University School of Medicine Shanghai, Shanghai, China
| | - Hua-Wang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Ying-Qiang Xiang
- Mental Health Prevention Hospital of Haidian District in Beijing, Beijing, China
| | - Wan-Nian Liang
- Wanke School of Public Health, Tsinghua University, Beijing, China.
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
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Schizophrenia pregnancies should be given greater health priority in the global health agenda: results from a large-scale meta-analysis of 43,611 deliveries of women with schizophrenia and 40,948,272 controls. Mol Psychiatry 2022; 27:3294-3305. [PMID: 35804094 PMCID: PMC9264309 DOI: 10.1038/s41380-022-01593-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 11/16/2022]
Abstract
Women with schizophrenia and their newborns are at risk of adverse pregnancy, delivery, neonatal and child outcomes. However, robust and informative epidemiological estimates are lacking to guide health policies to prioritise and organise perinatal services. For the first time, we carried out a systematic review and meta-analysis to synthesise the accumulating evidence on pregnancy, delivery, neonatal complications, and infant mortality among women with schizophrenia and their newborns (N = 43,611) vs. controls (N = 40,948,272) between 1999 and 2021 (26 population-based studies from 11 high-income countries) using random effects. Women with schizophrenia had higher odds (OR) of gestational diabetes (2.35, 95% CI: [1.57-3.52]), gestational hypertension, pre-eclampsia/eclampsia (OR 1.55, 95% CI: [1.02-2.36]; 1.85, 95% CI: [1.52-2.25]), antepartum and postpartum haemorrhage (OR 2.28, 95% CI: [1.58-3.29]; 1.14, 95% CI: [1.04-1.24]), placenta abruption, threatened preterm labour, and premature rupture of membrane (OR 2.20, 95% CI: [2.02-2.39]; 2.91, 95% CI: [1.57-5.40]; 1.29, 95% CI: [1.06-1.58]), c-section (OR 1.33, 95% CI: [1.22-1.45]), foetal distress (OR 1.80, 95% CI: [1.43-2.26]), preterm and very preterm delivery (OR 1.79, 95% CI: [1.62-1.98]; 2.31, 95% CI: [1.78-2.98]), small for gestational age and low birth weight (OR 1.63, 95% CI: [1.48-1.80]; 1.75, 95% CI: [1.46-2.11]), congenital malformations (OR 1.86, 95% CI: [1.71-2.03]), and stillbirths (OR 2.06, 95% CI: [1.83-2.31]). Their newborns had higher odds of neonatal death (OR 1.41, 95% CI: [1.03-1.94]), post-neonatal death (OR 2.87, 95% CI: [2.11-3.89]) and infant mortality (OR 2.33, 95% CI: [1.81-3.01]). This large-scale meta-analysis confirms that schizophrenia is associated with a substantially increased risk of very preterm delivery, stillbirth, and infant mortality, and metabolic risk in mothers. No population-based study has been carried out in low- and middle-income countries in which health problems of women with schizophrenia are probably more pronounced. More research is needed to better understand the complex needs of women with schizophrenia and their newborns, determine how care delivery could be optimised, and define best practices. Study registration: PROSPERO CRD42020197446.
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Mansuri Z, Makani R, Trivedi C, Adnan M, Vadukapuram R, Rafael J, Lodhi A, Reddy A. The role of metformin in treatment of weight gain associated with atypical antipsychotic treatment in children and adolescents: A systematic review and meta-analysis of randomized controlled trials. Front Psychiatry 2022; 13:933570. [PMID: 36458118 PMCID: PMC9705964 DOI: 10.3389/fpsyt.2022.933570] [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: 05/01/2022] [Accepted: 10/31/2022] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Second-generation antipsychotics are associated with significant weight gain. The aim of this systematic review and meta-analysis was to determine the efficacy and safety of metformin for the treatment of weight gain in children and young adults treated with second-generation antipsychotics. METHODS We followed PRISMA guidelines to evaluated studies published before March 2020 in Medline, Google Scholar, PubMed, Cochrane library database, annual scientific sessions of the American Psychiatric Association, American Academy of Child and Adolescent, Psychiatry, and American Society of Clinical Psychopharmacology. Studies included compared metformin with the placebo for management of weight gain in children and adolescents taking atypical antipsychotics. Non-randomized studies, animal experiment studies, editorials, and review studies were excluded. Multiple parameters, including change in anthropometric-biochemical parameters, drug discontinuation rate, and side effects among the groups were assessed. The random-effects method was used for meta-analysis. RESULTS Four studies with were included in the final analysis (213 patients; metformin: 106; control: 107). After pooled analysis, 12-16 weeks of metformin therapy was associated with a significant reduction in weight [(mean difference (MD): -4.53 lbs, confidence interval (CI): -6.19 to -2.87, p-value < 0.001)], and BMI z score [MD, -0.09, CI: -0.16, -0.03, p-value: 0.004] compared to control. Metformin was also associated with a significant reduction in insulin resistance [MD: -1.38, CI: -2.26 to -0.51, p-value: 0.002]. There were higher odds of nausea-vomiting [OR: 4.07, CI: 1.32-12.54, p-value: 0.02] and diarrhea [OR: 2.93, CI: 1.50-5.71, p-value: 0.002] in the metformin group. However, there was no difference in drug discontinuation rate [OR: 1.45, CI: 0.41-5.06, p-value: 0.56]. CONCLUSION Metformin may prove beneficial in the treatment of weight gain in children treated with second-generation antipsychotics. The pooled treatment effect showed a significant reduction in BMI Z-score and weight in just 12-16 weeks. The limitations include small sample size, variation in metformin dose, and duration of treatment. This meta-analysis should be interpreted as promising, and further larger studies are warranted before drawing a conclusion.
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Affiliation(s)
- Zeeshan Mansuri
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States
| | - Ramkrishna Makani
- Department of Psychiatry, AtlantiCare Health System, Egg Harbor Township, NJ, United States
| | - Chintan Trivedi
- Department of Psychiatry, Texas Tech University Health Sciences Center at Permian Basin, Odessa, TX, United States
| | - Mahwish Adnan
- Department of Psychiatry, Texas Tech University Health Sciences Center at Permian Basin, Odessa, TX, United States
| | - Ramu Vadukapuram
- The University of Texas Rio Grande Valley, Harlingen, TX, United States
| | - John Rafael
- MS4, Texas Tech University Health Sciences Center at Permian Basin, Odessa, TX, United States
| | | | - Abhishek Reddy
- Department of Psychiatry, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
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de Boer N, Guloksuz S, van Baal C, Willebrands L, Deenik J, Vinkers CH, Rossum IWV, Zinkstok J, Wilting I, Zantvoord JB, Backx F, Swildens WE, Schouw M, Bogers J, Hulshof F, de Knijff R, Duindam P, Veereschild M, Bak M, Frederix G, de Haan L, van Os J, Cahn W, Luykx JJ. Study protocol of a randomized, double-blind, placebo-controlled, multi-center trial to treat antipsychotic-induced weight gain: the Metformin-Lifestyle in antipsychotic users (MELIA) trial. BMC Psychiatry 2021; 21:4. [PMID: 33402159 PMCID: PMC7783702 DOI: 10.1186/s12888-020-02992-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 11/26/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Antipsychotic-induced Weight Gain (AiWG) is a debilitating and common adverse effect of antipsychotics. AiWG negatively impacts life expectancy, quality of life, treatment adherence, likelihood of developing type-2 diabetes and readmission. Treatment of AiWG is currently challenging, and there is no consensus on the optimal management strategy. In this study, we aim to evaluate the use of metformin for the treatment of AiWG by comparing metformin with placebo in those receiving treatment as usual, which includes a lifestyle intervention. METHODS In this randomized, double-blind, multicenter, placebo-controlled, pragmatic trial with a follow-up of 52 weeks, we aim to include 256 overweight participants (Body Mass Index (BMI) > 25 kg/m2) of at least 16 years of age. Patients are eligible if they have been diagnosed with schizophrenia spectrum disorder and if they have been using an antipsychotic for at least three months. Participants will be randomized with a 1:1 allocation to placebo or metformin, and will be treated for a total of 26 weeks. Metformin will be started at 500 mg b.i.d. and escalated to 1000 mg b.i.d. 2 weeks thereafter (up to a maximum of 2000 mg daily). In addition, all participants will undergo a lifestyle intervention as part of the usual treatment consisting of a combination of an exercise program and dietary consultations. The primary outcome measure is difference in body weight as a continuous trait between the two arms from treatment inception until 26 weeks of treatment, compared to baseline. Secondary outcome measures include: 1) Any element of metabolic syndrome (MetS); 2) Response, defined as ≥5% body weight loss at 26 weeks relative to treatment inception; 3) Quality of life; 4) General mental and physical health; and 5) Cost-effectiveness. Finally, we aim to assess whether genetic liability to BMI and MetS may help estimate the amount of weight reduction following initiation of metformin treatment. DISCUSSION The pragmatic design of the current trial allows for a comparison of the efficacy and safety of metformin in combination with a lifestyle intervention in the treatment of AiWG, facilitating the development of guidelines on the interventions for this major health problem. TRIAL REGISTRATION This trial was registered in the Netherlands Trial Register (NTR) at https://www.trialregister.nl/trial/8440 as NTR NL8840 on March 8, 2020.
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Affiliation(s)
- Nini de Boer
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508, Utrecht, GA, The Netherlands.
| | - Sinan Guloksuz
- grid.412966.e0000 0004 0480 1382Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands ,grid.47100.320000000419368710Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Caroline van Baal
- Department of Biostatistics and Research Support, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Leonie Willebrands
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands
| | - Jeroen Deenik
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands ,grid.491215.a0000 0004 0468 1456GGz Centraal Mental Health, Amersfoort, The Netherlands
| | - Christiaan H. Vinkers
- grid.7177.60000000084992262Department of Psychiatry and Department of Anatomy and Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands ,GGZinGeest Mental Health, Amsterdam, The Netherlands
| | - Inge Winter-van Rossum
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands
| | - Janneke Zinkstok
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands
| | - Ingeborg Wilting
- Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jasper B. Zantvoord
- grid.7177.60000000084992262Department of Psychiatry and Department of Anatomy and Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Frank Backx
- Department of Rehabilitation, Physiotherapy Science & Sport, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Wilma E. Swildens
- grid.413664.2Altrecht Mental Health Care Institute, Utrecht, The Netherlands ,grid.448984.d0000 0003 9872 5642Inholland University of Applied Sciences, Interprofessional Mental Health Care, department Nursing, Amsterdam, The Netherlands
| | - Marieke Schouw
- grid.413664.2Altrecht Mental Health Care Institute, Utrecht, The Netherlands
| | - Jan Bogers
- grid.468622.c0000 0004 0501 8787GGZ Rivierduinen, Oegstgeest, The Netherlands
| | | | | | | | | | - Maarten Bak
- grid.412966.e0000 0004 0480 1382Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands ,Mondriaan Mental Health, Maastricht, The Netherlands
| | - Geert Frederix
- Department of Public Health, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lieuwe de Haan
- grid.7177.60000000084992262Department of Psychiatry and Department of Anatomy and Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands ,Arkin GGZ, Amsterdam, The Netherlands
| | - Jim van Os
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands ,grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Wiepke Cahn
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands ,grid.413664.2Altrecht Mental Health Care Institute, Utrecht, The Netherlands
| | - Jurjen J. Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, HP A01.126, P.O. Box 85500, 3508 Utrecht, GA The Netherlands ,GGNet Mental Health, Warnsveld, The Netherlands ,Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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11
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Flanagan RJ, Lally J, Gee S, Lyon R, Every-Palmer S. Clozapine in the treatment of refractory schizophrenia: a practical guide for healthcare professionals. Br Med Bull 2020; 135:73-89. [PMID: 32885238 PMCID: PMC7585831 DOI: 10.1093/bmb/ldaa024] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/18/2020] [Accepted: 06/29/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Clozapine remains the only medication licensed for treating refractory schizophrenia. However, it remains underutilized in part due to concerns regarding adverse events. SOURCES OF DATA Published literature. AREAS OF AGREEMENT Common adverse events during clozapine treatment include sedation, hypersalivation, postural hypotension, dysphagia, gastrointestinal hypomotility, weight gain, diabetes mellitus and dyslipidaemia. Rare but serious events include agranulocytosis, cardiomyopathy, myocarditis, pneumonia, paralytic ileus and seizure. AREAS OF CONTROVERSY It remains unclear how best to minimize clozapine-induced morbidity/mortality (i) during dose titration, (ii) from hypersalivation and (iii) from gastrointestinal hypomotility. It is also unclear how clozapine pharmacokinetics are affected by (i) gastrointestinal hypomotility, (ii) systemic infection and (iii) passive exposure to cigarette smoke. Whether monthly haematological monitoring needs to continue after 12 months of uninterrupted therapy is also a subject of debate. GROWING POINTS There is a need for better management of serious clozapine-related adverse events in addition to agranulocytosis. There is also a need for better education of patients and carers, general practitioners, A&E and ITU staff and others of the problems posed in using clozapine safely. AREAS TIMELY FOR DEVELOPING RESEARCH There is a need for more research on assessing clozapine dosage (i) as patients get older, (ii) with respect to exposure to cigarette smoke and (iii) optimizing response if adverse events or other factors limit dosage.
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Affiliation(s)
- R J Flanagan
- Precision Medicine, Networked Services, Bessemer Wing, King's College Hospital NHS Foundation Trust, Denmark Hill, London SE5 9RS, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
| | - J Lally
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.,Department of Psychiatry, Mater Misericordiae University Hospital, 63 Eccles Street, Dublin 7, Ireland.,Department of Psychiatry, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland
| | - S Gee
- Pharmacy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK
| | - R Lyon
- Department of Pharmacy, Sussex Partnership NHS Foundation Trust, Chichester Centre, Graylingwell Drive, Chichester, West Sussex PO19 6GS UK
| | - S Every-Palmer
- Department of Psychological Medicine, University of Otago, Wellington, PO Box 7343, Newtown, Wellington 6242, NZ
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12
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Role of TRPV1/TRPV3 channels in olanzapine-induced metabolic alteration: Possible involvement in hypothalamic energy-sensing, appetite regulation, inflammation and mesolimbic pathway. Toxicol Appl Pharmacol 2020; 402:115124. [PMID: 32652086 DOI: 10.1016/j.taap.2020.115124] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 06/15/2020] [Accepted: 06/19/2020] [Indexed: 12/30/2022]
Abstract
Atypical antipsychotics (AAPs) have the tendency of inducing severe metabolic alterations like obesity, diabetes mellitus, insulin resistance, dyslipidemia and cardiovascular complications. These alterations have been attributed to altered hypothalamic appetite regulation, energy sensing, insulin/leptin signaling, inflammatory reactions and active reward anticipation. Line of evidence suggests that transient receptor potential vanilloid type 1 and 3 (TRPV1 and TRPV3) channels are emerging targets in treatment of obesity, diabetes mellitus and could modulate feed intake. The present study was aimed to investigate the putative role TRPV1/TRPV3 in olanzapine-induced metabolic alterations in mice. Female BALB/c mice were treated with olanzapine for six weeks to induce metabolic alterations. Non-selective TRPV1/TRPV3 antagonist (ruthenium red) and selective TRPV1 (capsazepine) and TRPV3 antagonists (2,2-diphenyltetrahydrofuran or DPTHF) were used to investigate the involvement of TRPV1/TRPV3 in chronic olanzapine-induced metabolic alterations. These metabolic alterations were differentially reversed by ruthenium red and capsazepine, while DPTHF didn't show any significant effect. Olanzapine treatment also altered the mRNA expression of hypothalamic appetite-regulating and nutrient-sensing factors, inflammatory genes and TRPV1/TRPV3, which were reversed with ruthenium red and capsazepine treatment. Furthermore, olanzapine treatment also increased expression of TRPV1/TRPV3 in nucleus accumbens (NAc), TRPV3 expression in ventral tegmental area (VTA), which were reversed by the respective antagonists. However, DPTHF treatment showed reduced feed intake in olanzapine treated mice, which might be due to TRPV3 specific antagonism and reduced hedonic feed intake. In conclusion, our results suggested the putative role TRPV1 in hypothalamic dysregulations and TRPV3 in the mesolimbic pathway; both regulate feeding in olanzapine treated mice.
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13
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Frajerman A, Morin V, Chaumette B, Kebir O, Krebs MO. [Management of cardiovascular co-morbidities in young patients with early onset psychosis: State of the art and therapeutic perspectives]. L'ENCEPHALE 2020; 46:390-398. [PMID: 32571543 DOI: 10.1016/j.encep.2020.03.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/09/2020] [Accepted: 03/25/2020] [Indexed: 10/24/2022]
Abstract
Patients with psychiatric disorders have a decrease in their life expectancy. Excess mortality of patients with schizophrenia was demonstrated by a meta-analysis in the late 1990s and has not decreased for the past 30years. A recent meta-analysis including nearly 250,000 patients with schizophrenia found an average decrease in life expectancy of 14.5years (CI95: 11,2-17,8), more important for men than for women: 15.9 (CI95: 13,8-18,0) vs 13.6 (CI95: 11,4-15,8). A closer look at the somatic comorbidities, including metabolic syndrome, and investigation of causes of death of these patients highlighted already well-known factors, namely late diagnosis and insufficient treatment of physical diseases, side effects of antipsychotics, unhealthy lifestyle (poor diet, smoking, excessive alcohol consumption and lack of exercise), and higher risk of suicide and accident. Concerning ultra-high risk (UHR) patients, a 2016 meta-analysis of 47 studies evaluated the cardiovascular risk factors. They reported a higher prevalence of smoking in UHR (odds ratio 2,3) and a lower level of physical activity associated with a normal BMI (Body Mass Index) compared to the control population. A meta-analysis about patients with a first episode of psychosis (FEP) found reduced total and LDL cholesterol levels and an increased triglyceride level compared to the control population. One study found alteration of the fasting plasmatic levels of glucose and insulin, as well as insulin resistance in FEP patients, compared to controls albeit the HbA1c level was not significantly different. A meta-analysis reported a prevalence of metabolic syndrome of 10 % in FEP or drug naïve patients versus 35 % and 20 % in treated and untreated patients with chronic schizophrenia respectively. Somatic comorbidities usually appear during the first two years of the disease. Some interventions have proven their efficacy in reducing the occurrence of metabolic syndrome and other cardiovascular risk factors. For instance, metformin, a treatment for type 2 diabetes that is allowed from the age of 10, has shown benefits in children and adolescents receiving second-generation antipsychotics in a recent meta-analysis, with a mean weight loss of 3.23kg (IC95 % -5.59 -0.86) after 16 weeks. Dietary-hygienic interventions are also effective in reducing cardiovascular risk. Other interventions such as omega-3 supplementation, vitamin D, N-acetylcysteine, and fasting have not proven to be effective. Comprehensive care programs have been developed to promote somatic care in psychiatric patients, such as the Canadian HeAL (Healthy Active Lives) program. These programs are more effective when proposed from the beginning of the disease and the introduction of antipsychotics. In this review, because there is no French recommendation, we translate a tool for the prescription of metformin and the Canadian recommendations from the HeAL program. Generalization of these programs to all young psychotic patients could improve their life expectancy and reduce the overall mortality. Prevention of cardiovascular risk factors and cardio-metabolic monitoring of treatments must be part of the standard of care in early psychosis. These programs aim at providing patients with the quality of somatic and mental care they are entitled to. This requires the involvement of all stakeholders, including patients and their families but also psychiatrists and other caregivers.
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Affiliation(s)
- A Frajerman
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France.
| | - V Morin
- Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - B Chaumette
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France; Department of Psychiatry, McGill University, Montréal, Canada
| | - O Kebir
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - M-O Krebs
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
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14
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Jiang WL, Cai DB, Yin F, Zhang L, Zhao XW, He J, Ng CH, Ungvari GS, Sim K, Hu ML, Zheng W, Xiang YT. Adjunctive metformin for antipsychotic-induced dyslipidemia: a meta-analysis of randomized, double-blind, placebo-controlled trials. Transl Psychiatry 2020; 10:117. [PMID: 32327628 PMCID: PMC7181777 DOI: 10.1038/s41398-020-0785-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 02/24/2020] [Accepted: 03/20/2020] [Indexed: 12/13/2022] Open
Abstract
Antipsychotic-induced dyslipidemia could increase the risk of cardiovascular diseases. This is a meta-analysis of randomized double-blind placebo-controlled trials to examine the efficacy and safety of adjunctive metformin for dyslipidemia induced by antipsychotics in schizophrenia. The standardized mean differences (SMDs) and risk ratios (RRs) with their 95% confidence intervals (CIs) were calculated using the random-effects model with the RevMan 5.3 version software. The primary outcome was the change of serum lipid level. Twelve studies with 1215 schizophrenia patients (592 in metformin group and 623 in placebo group) were included and analyzed. Adjunctive metformin was significantly superior to placebo with regards to low density lipoprotein cholesterol (LDL-C) [SMD: -0.37 (95%CI:-0.69, -0.05), P = 0.02; I2 = 78%], total cholesterol [SMD: -0.47 (95%CI:-0.66, -0.29), P < 0.00001; I2 = 49%], triglyceride [SMD: -0.33 (95%CI:-0.45, -0.20), P < 0.00001; I2 = 0%], and high density lipoprotein cholesterol [SMD: 0.29 (95%CI:0.02, 0.57), P = 0.03; I2 = 69%]. The superiority of metformin in improving LDL-C level disappeared in a sensitivity analysis and 80% (8/10) of subgroup analyses. Metformin was significantly superior to placebo with regards to decrease in body weight, body mass index, glycated hemoglobin A1c, fasting insulin, and homeostasis model assessment-insulin resistance (P = 0.002-0.01), but not regarding changes in waist circumference, waist-to-hip rate, leptin, fasting glucose, and blood pressure (P = 0.07-0.33). The rates of discontinuation due to any reason [RR: 0.97 (95%CI: 0.66, 1.43), P = 0.89; I2 = 0%] was similar between the two groups. Adjunctive metformin could be useful to improve total cholesterol and triglyceride levels, but it was not effective in improving LDL-C level in schizophrenia.
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Affiliation(s)
| | - Dong-Bin Cai
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Fei Yin
- grid.410736.70000 0001 2204 9268Harbin Medical University Daqing Campus, Daqing, China
| | - Ling Zhang
- grid.412558.f0000 0004 1762 1794The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xi-Wu Zhao
- The Third People’s Hospital of Daqing, Daqing, China
| | - Jie He
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Chee H. Ng
- grid.1008.90000 0001 2179 088XDepartment of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, Victoria Australia
| | - Gabor S. Ungvari
- grid.266886.40000 0004 0402 6494University of Notre Dame Australia, Fremantle, Australia ,grid.1012.20000 0004 1936 7910Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia
| | - Kang Sim
- grid.414752.10000 0004 0469 9592West Region, Institute of Mental Health, Buangkok Green Medical Park, Singapore, Singapore
| | - Mei-Ling Hu
- The Fifth People’s Hospital of Shangrao, Shangrao, China
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, SAR, China.
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15
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Westman J, Eberhard J, Gaughran FP, Lundin L, Stenmark R, Edman G, Eriksson SV, Jedenius E, Rydell P, Overgaard K, Abrams D, Greenwood KE, Smith S, Ismail K, Murray R, Ösby U. Outcome of a psychosocial health promotion intervention aimed at improving physical health and reducing alcohol use in patients with schizophrenia and psychotic disorders (MINT). Schizophr Res 2019; 208:138-144. [PMID: 30979666 DOI: 10.1016/j.schres.2019.03.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/23/2019] [Accepted: 03/26/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Life expectancy is reduced by 19 years in men and 17 in women with psychosis in Sweden, largely due to cardiovascular disease. AIM Assess whether a psychosocial health promotion intervention improves cardiometabolic risk factors, quality of life, and severity of illness in patients with psychotic disorders more than treatment as usual. METHODS A pragmatic intervention trial testing a manual-based multi-component health promotion intervention targeting patients with psychosis. The Swedish intervention was adapted from IMPaCT therapy, a health-promotion program based on motivational interviewing and cognitive behavioral therapy, designed to be incorporated into routine care. The intervention group consisted of 119 patients and the control group of 570 patients from specialized psychosis departments. Outcome variables were assessed 6 months before intervention during the run-in period, again at the start of intervention, and 12 months after the intervention began. The control group received treatment as usual. RESULTS The intervention had no significant effect on any of the outcome variables. However, BMI, waist circumference, systolic BP, heart rate, HbA1c, general health, and Clinical Global Impressions Scale score improved significantly during the run-in period before the start of the active intervention (observer effect). The multi-component design meant that treatment effects could only be calculated for the intervention as a whole. CONCLUSION The results of the intervention are similar to those of the U.K. IMPaCT study, in which the modular health-promotion intervention had little effect on cardiovascular risk indicators. However, in the current study, the run-in period had a positive effect on cardiometabolic risk factors.
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Affiliation(s)
- Jeanette Westman
- Dept of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Academic Primary Health Care Centre, Region Stockholm, Sweden.
| | - Jonas Eberhard
- Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Fiona P Gaughran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Lennart Lundin
- Sahlgrenska University Hospital, Gothenburg, Sweden; Swedish Schizophrenia Fellowship, Stockholm, Sweden
| | - Richard Stenmark
- Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden
| | - Gunnar Edman
- Norrtälje Hospital, Tiohundra AB, Norrtälje, Sweden; Dept of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Sven V Eriksson
- Department of Internal Medicine, Enköping Hospital, Enköping, Sweden; Aleris Specialist Care, Gothenburg, Sweden
| | - Erik Jedenius
- Dept of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden
| | - Pia Rydell
- Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | | | - Kathryn E Greenwood
- School of Psychology, University of Sussex, Brighton, UK; Sussex Partnership NHS Foundation Trust, UK
| | - Shubulade Smith
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Khalida Ismail
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Robin Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Urban Ösby
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
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16
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Vancampfort D, Firth J, Correll CU, Solmi M, Siskind D, De Hert M, Carney R, Koyanagi A, Carvalho AF, Gaughran F, Stubbs B. The impact of pharmacological and non-pharmacological interventions to improve physical health outcomes in people with schizophrenia: a meta-review of meta-analyses of randomized controlled trials. World Psychiatry 2019; 18:53-66. [PMID: 30600626 PMCID: PMC6313230 DOI: 10.1002/wps.20614] [Citation(s) in RCA: 127] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
We summarized and compared meta-analyses of pharmacological and non-pharmacological interventions targeting physical health outcomes among people with schizophrenia spectrum disorders. Major databases were searched until June 1, 2018. Of 3,709 search engine hits, 27 meta-analyses were included, representing 128 meta-analyzed trials and 47,231 study participants. While meta-analyses were generally of adequate or high quality, meta-analyzed studies were less so. The most effective weight reduction interventions were individual lifestyle counseling (standardized mean difference, SMD=-0.98) and exercise interventions (SMD=-0.96), followed by psychoeducation (SMD=-0.77), aripiprazole augmentation (SMD=-0.73), topiramate (SMD=-0.72), d-fenfluramine (SMD=-0.54) and metformin (SMD=-0.53). Regarding waist circumference reduction, aripiprazole augmentation (SMD=-1.10) and topiramate (SMD=-0.69) demonstrated the best evidence, followed by dietary interventions (SMD=-0.39). Dietary interventions were the only to significantly improve (diastolic) blood pressure (SMD=-0.39). Switching from olanzapine to quetiapine or aripiprazole (SMD=-0.71) and metformin (SMD=-0.65) demonstrated best efficacy for reducing glucose levels, followed by glucagon-like peptide-1 receptor agonists (SMD=-0.39), dietary interventions (SMD=-0.37) and aripiprazole augmentation (SMD=-0.34), whereas insulin resistance improved the most with metformin (SMD=-0.75) and rosiglitazone (SMD=-0.44). Topiramate had the greatest efficacy for triglycerides (SMD=-0.68) and low-density lipoprotein (LDL)-cholesterol (SMD=-0.80), whereas metformin had the greatest beneficial effects on total cholesterol (SMD=-0.51) and high-density lipoprotein (HDL)-cholesterol (SMD=0.45). Lifestyle interventions yielded small effects for triglycerides, total cholesterol and LDL-cholesterol (SMD=-0.35 to -0.37). Only exercise interventions increased exercise capacity (SMD=1.81). Despite frequent physical comorbidities and premature mortality mainly due to these increased physical health risks, the current evidence for pharmacological and non-pharmacological interventions in people with schizophrenia to prevent and treat these conditions is still limited and more larger trials are urgently needed.
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Affiliation(s)
- Davy Vancampfort
- KU Leuven Department of Rehabilitation SciencesLeuvenBelgium,University Psychiatric Centre KU LeuvenKortenbergBelgium
| | - Joseph Firth
- NICM Health Research Institute, Western Sydney UniversityWestmeadAustralia,Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Christoph U. Correll
- Hofstra Northwell School of Medicine HempsteadNew YorkNY, USA,Department of PsychiatryZucker Hillside HospitalNew YorkNYUSA,Department of Child and Adolescent PsychiatryCharité UniversitätsmedizinBerlinGermany
| | - Marco Solmi
- Department of NeurosciencesUniversity of PaduaPaduaItaly
| | - Dan Siskind
- Metro South Addiction and Mental Health ServiceBrisbaneAustralia,School of Medicine, University of QueenslandBrisbaneAustralia
| | - Marc De Hert
- University Psychiatric Centre KU LeuvenKortenbergBelgium,KU Leuven Department of NeurosciencesLeuvenBelgium
| | - Rebekah Carney
- Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona, Spain,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAMMadridSpain
| | - André F. Carvalho
- Centre for Addiction and Mental HealthTorontoOntarioCanada,Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Fiona Gaughran
- South London and Maudsley NHS Foundation TrustLondonUK,Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Brendon Stubbs
- South London and Maudsley NHS Foundation TrustLondonUK,Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
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17
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Ellul P, Delorme R, Cortese S. Metformin for Weight Gain Associated with Second-Generation Antipsychotics in Children and Adolescents: A Systematic Review and Meta-Analysis. CNS Drugs 2018; 32:1103-1112. [PMID: 30238318 DOI: 10.1007/s40263-018-0571-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Weight gain is a potentially concerning side effect of second-generation antipsychotics (SGAs). Metformin, a biguanide with antihyperglycemic effects, is used to manage weight gain in adults treated with SGAs. OBJECTIVE The objective of this study was to perform the first systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effects of metformin on weight gain in children and adolescents treated with SGAs. METHODS Based on a pre-registered protocol (PROSPERO-CRD42017074839), we searched the PubMed, EMBASE, PsychoINFO, BIOSIS, Science Direct, Cochrane Central, and ClinicalTrials.gov electronic databases through March 2018 (with no restrictions on language, date, or type of publication) for RCTs that assessed the effect of metformin or placebo on body weight in children or adolescents (< 18 years of age) treated with selected SGAs (risperidone, aripiprazole, olanzapine, and clozapine) for any psychiatric disorder. We also contacted relevant drug manufacturers for possible additional pertinent studies/data. A random effects model was used and the quality of the included RCTs was assessed using the Cochrane Risk of Bias tool. RESULTS Five RCTs (205 participants in total) were included in the meta-analysis. We found a significant weight decrease in the metformin group compared with placebo after 4, 12, and 16 weeks of treatment {mean difference - 0.98 kg (95% confidence interval [CI] - 1.26, - 0.69); - 1.83 kg (95% CI - 2.47, - 1.18); and - 3.23 kg (95% CI - 5.59, - 0.86), respectively}. A weight decrease at weeks 2 and 8 did not reach statistical significance. The decrease in body mass index (BMI) paralleled that of weight, with a significant effect at weeks 4, 12, and 16. Overall, four studies were rated as unclear, and one study was rated as high, risk of bias. CONCLUSION Meta-analytical evidence shows that metformin might decrease weight in children/adolescents treated with SGAs but additional high-quality evidence is needed. Clinicians need to be aware that this use of metformin is currently off-label.
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Affiliation(s)
- Pierre Ellul
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, APHP, 48 Boulevard Sérurier, 75019, Paris, France.
| | - Richard Delorme
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, APHP, 48 Boulevard Sérurier, 75019, Paris, France.,Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Samuele Cortese
- Center for Innovation in Mental Health, Academic Unit of Psychology, University of Southampton, Southampton, UK.,Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK.,Solent NHS Trust, Southampton, UK.,New York University Child Study Center, New York, NY, USA.,Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
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Kang D, Jing Z, Li R, Hei G, Shao T, Li L, Sun M, Yang Y, Wang Y, Wang X, Long Y, Huang X, Wu R. Effect of Betahistine and Metformin on Antipsychotic-Induced Weight Gain: An Analysis of Two Clinical Trials. Front Psychiatry 2018; 9:620. [PMID: 30542300 PMCID: PMC6277778 DOI: 10.3389/fpsyt.2018.00620] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 11/02/2018] [Indexed: 01/16/2023] Open
Abstract
Antipsychotic-induced weight gain is one of the most common adverse effects of antipsychotic treatment. However, there are no well-established interventions for the weight gain yet. In this study, we pooled the data from two clinical trials, which were originally examining the efficacy of betahistine and the efficacy of metformin in treating antipsychotic-induced weight gain and insulin resistance. A total of 67 people with schizophrenia or bipolar disorder treated with antipsychotics were assigned to 36 mg day-1 betahistine (n = 13) or 1,000 mg day-1 metformin (n = 25) or placebo (n = 29) treatment for 12 weeks, with evaluation at baseline and week 12. The primary outcome was the body mass index (BMI). After treatment, metformin group had a mean decrease in BMI of 1.46 ± 0.14 (p < 0.001) and insulin resistance index (IRI) of 4.30 ± 2.02 (p < 0.001). The betahistine group had no significant alteration in BMI or IRI. However, placebo group had a mean increase in BMI of 1.27 ± 0.77 (p < 0.001) and IRI of 0.45 ± 0.86 (p < 0.001). Between the two treatment groups, metformin significantly decreased weight, BMI, fasting glucose, insulin level, and IRI but not waist circumference when compared with betahistine. Moreover, metformin significantly decreased weight, BMI, waist circumference, fasting glucose, insulin level, and IRI when compared with placebo, whereas betahistine significantly decreased body weight, waist circumference, BMI, insulin level, and IRI but not fasting glucose when compared with placebo. In this study, we found that both metformin treatment and betahistine treatment were efficacious in improving antipsychotic-induced weight gain and insulin resistance, and metformin was more efficacious in preventing and revising the weight gain induced by antipsychotics. Clinical Trial Registration: www.ClinicalTrials.gov, NCT00451399(Study 1), NCT00709202(Study 2).
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Affiliation(s)
- Dongyu Kang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Zhihui Jing
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Ranran Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Gangrui Hei
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Tiannan Shao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Li Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Mengxi Sun
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Ye Yang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Ying Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Xiaoyi Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Yujun Long
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Xiansheng Huang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,The China National Clinical Research Center for Mental Health Disorders, Changsha, China.,National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China.,Shanghai Institute for Biological Science, Chinese Academy of Sciences, Shanghai, China
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