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Himmerich H, Bentley J, McElroy SL. Pharmacological Treatment of Binge Eating Disorder and Frequent Comorbid Diseases. CNS Drugs 2024; 38:697-718. [PMID: 39096466 DOI: 10.1007/s40263-024-01111-1] [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] [Accepted: 07/15/2024] [Indexed: 08/05/2024]
Abstract
Binge eating disorder (BED) is the most common specific eating disorder (ED). It is frequently associated with attention deficit hyperactivity disorder (ADHD), depression, bipolar disorder (BD), anxiety disorders, alcohol and nicotine use disorder, and obesity. The aim of this narrative review was to summarize the evidence for the pharmacological treatment of BED and its comorbid disorders. We recommend the ADHD medication lisdexamfetamine (LDX) and the antiepileptic and antimigraine drug topiramate for the pharmacological treatment of BED. However, only LDX is approved for the treatment of BED in some countries. Medications to treat diseases frequently comorbid with BED include atomoxetine and LDX for ADHD; citalopram, fluoxetine, sertraline, duloxetine, and venlafaxine for anxiety disorders and depression; aripiprazole for manic episodes of BD; lamotrigine, lirasidone and lumateperone for depressive episodes of BD; naltrexone for alcohol use disorder; bupropion for nicotine use disorder; and liraglutide, semaglutide, and the combination of bupropion and naltrexone for obesity. As obesity is a frequent health consequence of BED, weight gain-inducing medications, such as the atypical antipsychotics olanzapine or clozapine, the novel antidepressant mirtazapine and tricyclic antidepressants, and the mood stabilizer valproate should be avoided where possible. It is currently unclear whether the novel and promising glucagon, glucose-dependent insulinotropic polypeptide (GIP), and glucagon-like peptide 1 (GLP-1) receptor agonists like tirzepatide and retatrutide help with BED and its comorbidities. However, these compounds have been reported to reduce binge eating in individuals with obesity or overweight.
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Affiliation(s)
- Hubertus Himmerich
- Centre for Research in Eating and Weight Disorders (CREW), Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
- South London and Maudsley NHS Foundation Trust, London, UK.
| | - Jessica Bentley
- Centre for Research in Eating and Weight Disorders (CREW), Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Liu X, Lan X, Zhang X, Ye H, Shen L, Hu M, Chen X, Zheng M, Weston-Green K, Jin T, Cui X, Zhou Y, Lu X, Huang XF, Yu Y. Olanzapine attenuates 5-HT2cR and GHSR1a interaction to increase orexigenic hypothalamic NPY: Implications for neuronal molecular mechanism of metabolic side effects of antipsychotics. Behav Brain Res 2024; 463:114885. [PMID: 38296202 DOI: 10.1016/j.bbr.2024.114885] [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: 09/05/2023] [Revised: 01/26/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
The main cause of second-generation antipsychotic (SGA)-induced obesity is considered due to the antagonism of serotonin 2c receptors (5-HT2cR) and activation of ghrelin receptor type 1a (GHSR1a) signalling. It is reported that 5-HT2cR interacted with GHSR1a, however it is unknown whether one of the SGA olanzapine alters the 5-HT2cR/GHSR1a interaction, affecting orexigenic neuropeptide signalling in the hypothalamus. We found that olanzapine treatment increased average energy intake and body weight gain in mice; olanzapine treatment also increased orexigenic neuropeptide (NPY) and GHSR1a signaling molecules, pAMPK, UCP2, FOXO1 and pCREB levels in the hypothalamus. By using confocal fluorescence resonance energy transfer (FRET) technology, we found that 5-HT2cR interacted/dimerised with the GHSR1a in the hypothalamic neurons. As 5-HT2cR antagonist, both olanzapine and S242084 decreased the interaction between 5-HT2cR and GHSR1a and activated GHSR1a signaling. The 5-HT2cR agonist lorcaserin counteracted olanzapine-induced attenuation of interaction between 5-HT2cR and GHSR1a and inhibited activation of GHSR1a signalling and NPY production. These findings suggest that 5-HT2cR antagonistic effect of olanzapine in inhibition of the interaction of 5-HT2cR and GHSR1a, activation GHSR1a downstream signaling and increasing hypothalamic NPY, which may be the important neuronal molecular mechanism underlying olanzapine-induced obesity and target for prevention metabolic side effects of antipsychotic management in psychiatric disorders.
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Affiliation(s)
- Xiaoli Liu
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Xia Lan
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Xinyou Zhang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Huaiyu Ye
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Lijun Shen
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Minmin Hu
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Xiaoqi Chen
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Mingxuan Zheng
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Katrina Weston-Green
- Illawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, NSW 2522, Australia
| | - Tiantian Jin
- Illawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, NSW 2522, Australia
| | - Xiaoying Cui
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD 4113, Australia
| | - Yi Zhou
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Xiangyu Lu
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China
| | - Xu-Feng Huang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China; Illawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, NSW 2522, Australia.
| | - Yinghua Yu
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, PR China; Illawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, NSW 2522, Australia.
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Robinson DJ, Hanson K, Jain AB, Kichler JC, Mehta G, Melamed OC, Vallis M, Bajaj HS, Barnes T, Gilbert J, Honshorst K, Houlden R, Kim J, Lewis J, MacDonald B, MacKay D, Mansell K, Rabi D, Sherifali D, Senior P. Diabetes and Mental Health. Can J Diabetes 2023; 47:308-344. [PMID: 37321702 DOI: 10.1016/j.jcjd.2023.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
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Zaid A, Hassan NH, Marriott PJ, Wong YF. Comprehensive Two-Dimensional Gas Chromatography as a Bioanalytical Platform for Drug Discovery and Analysis. Pharmaceutics 2023; 15:pharmaceutics15041121. [PMID: 37111606 PMCID: PMC10140985 DOI: 10.3390/pharmaceutics15041121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 04/05/2023] Open
Abstract
Over the last decades, comprehensive two-dimensional gas chromatography (GC×GC) has emerged as a significant separation tool for high-resolution analysis of disease-associated metabolites and pharmaceutically relevant molecules. This review highlights recent advances of GC×GC with different detection modalities for drug discovery and analysis, which ideally improve the screening and identification of disease biomarkers, as well as monitoring of therapeutic responses to treatment in complex biological matrixes. Selected recent GC×GC applications that focus on such biomarkers and metabolite profiling of the effects of drug administration are covered. In particular, the technical overview of recent GC×GC implementation with hyphenation to the key mass spectrometry (MS) technologies that provide the benefit of enhanced separation dimension analysis with MS domain differentiation is discussed. We conclude by highlighting the challenges in GC×GC for drug discovery and development with perspectives on future trends.
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Affiliation(s)
- Atiqah Zaid
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Norfarizah Hanim Hassan
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Philip J. Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Melbourne, VIC 3800, Australia
| | - Yong Foo Wong
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
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Correll CU, Stein E, Graham C, DiPetrillo L, Akerman S, Stanford AD, Jiang Y, Yagoda S, McDonnell D, Hopkinson C. Reduction in Multiple Cardiometabolic Risk Factors With Combined Olanzapine/Samidorphan Compared With Olanzapine: Post Hoc Analyses From a 24-Week Phase 3 Study. Schizophr Bull 2023; 49:454-463. [PMID: 36305696 PMCID: PMC10016392 DOI: 10.1093/schbul/sbac144] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND HYPOTHESES Weight gain and adverse cardiometabolic effects often limit the clinical utility of olanzapine. In ENLIGHTEN-2, combining olanzapine with the opioid receptor antagonist samidorphan (OLZ/SAM) mitigated olanzapine-associated weight gain. These analyses tested the hypothesis that OLZ/SAM would be associated with reduced adverse cardiometabolic effects compared with olanzapine. STUDY DESIGN This phase 3 double-blind study randomized adults with schizophrenia to OLZ/SAM or olanzapine for 24 weeks. Post hoc analyses assessed changes from baseline to week 24 in cardiometabolic risk parameters, including body mass index (BMI), risk of developing obesity (BMI ≥30 kg/m2) or metabolic syndrome, waist circumference, along with mean and potentially clinically significant changes in blood pressure, glucose, and lipids. RESULTS After 24 weeks' treatment, compared with olanzapine, OLZ/SAM was associated with smaller least-squares mean (LSM) changes from baseline in systolic blood pressure (LSM difference, -2.63 mm Hg; 95% CI: -4.78, -0.47), diastolic blood pressure (LSM difference, -0.75 mm Hg; 95% CI: -2.31, 0.80), and BMI (LSM difference, -0.65 kg/m2; 95% CI: -1.01, -0.28). OLZ/SAM treatment was also associated with reduced risk of shifting from normal blood pressure to stage 1/2 hypertension (odds ratio [OR], 0.48; 95% CI: 0.24, 0.96), becoming obese (OR, 0.52; 95% CI: 0.32, 0.82), and developing metabolic syndrome (OR, 0.55; 95% CI: 0.31, 0.99) compared with olanzapine. No treatment group differences were noted for risk of hyperglycemia or hyperlipidemia. CONCLUSIONS OLZ/SAM treatment was associated with lower risk of worsening cardiometabolic risk factors related to obesity, hypertension, and metabolic syndrome relative to olanzapine. NCT02694328, https://clinicaltrials.gov/ct2/show/NCT02694328.
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Affiliation(s)
- Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Evan Stein
- Metabolic & Atherosclerosis Research Center, Cincinnati, OH, USA
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Theodore BC, Foulkrod A, Fujikawa P, Patel K. Ischemic Colitis Secondary to Olanzapine and Clonidine Use in a Patient With a History of Laxative Abuse. Cureus 2023; 15:e36605. [PMID: 37155452 PMCID: PMC10122613 DOI: 10.7759/cureus.36605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2023] [Indexed: 05/10/2023] Open
Abstract
Ischemic colitis is the most common type of intestinal ischemia and is caused by an acute arterial occlusion, thrombosis, or hypoperfusion of the mesenteric vasculature. This case centers around a 39-year-old female with a past medical history significant for a 20-year history of stimulant laxative abuse, chronic constipation, bipolar disorder, and anxiety that presented with ischemic colitis following 21 days of obstipation. At the time of presentation, the patient was taking olanzapine 15 mg daily for the treatment of bipolar disorder and clonidine 0.2 mg three times daily for anxiety. Over the course of her hospitalization, the patient was found to have a high stool burden, including calcified stool, contributing to ischemic colitis. She was successfully treated with a clonidine taper, multiple enemas, and laxatives. Pharmacological agents that induce constipation have been shown to increase the risk of colonic ischemia by increasing intraluminal pressure in the colon. Atypical antipsychotics block peripheral anticholinergic and anti-serotonergic receptors, limit gastrointestinal muscle contractions, and delay intestinal transit.
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Affiliation(s)
| | - Ashley Foulkrod
- Internal Medicine, Edward Via College of Osteopathic Medicine (VCOM)-Virginia, Blacksburg, USA
| | | | - Kashyap Patel
- Internal Medicine, LewisGale Medical Center, Salem, USA
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Vranic M, Ahmed F, Hetty S, Sarsenbayeva A, Ferreira V, Fanni G, Valverde ÁM, Eriksson JW, Pereira MJ. Effects of the second-generation antipsychotic drugs aripiprazole and olanzapine on human adipocyte differentiation. Mol Cell Endocrinol 2023; 561:111828. [PMID: 36526026 DOI: 10.1016/j.mce.2022.111828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/28/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
Second-generation antipsychotics (SGAs), used as the cornerstone treatment for schizophrenia and other mental disorders, can cause adverse metabolic effects (e.g. obesity and type 2 diabetes). We investigated the effects of SGAs on adipocyte differentiation and metabolism. The presence of therapeutic concentrations of aripiprazole (ARI) or its active metabolite dehydroaripiprazole (DARI) during human adipocyte differentiation impaired adipocyte glucose uptake while the expression of gene markers of fatty acid oxidation were increased. Additionally, the use of a supra-therapeutic concentration of ARI inhibited adipocyte differentiation. Furthermore, olanzapine (OLA), a highly obesogenic SGA, directly increased leptin gene expression but did not affect adipocyte differentiation and metabolism. These molecular insights are novel, and suggest that ARI, but not OLA, may directly act via alterations in adipocyte differentiation and potentially by causing a switch from glucose to lipid utilization in human adipocytes. Additionally, SGAs may effect crosstalk with other organs, such as the brain, to exert their adverse metabolic effects.
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Affiliation(s)
- Milica Vranic
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Fozia Ahmed
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Susanne Hetty
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Assel Sarsenbayeva
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Vitor Ferreira
- IIBm Alberto Sols (CSIC-UAM), Madrid, Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), ISCIII, Spain
| | - Giovanni Fanni
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Ángela M Valverde
- IIBm Alberto Sols (CSIC-UAM), Madrid, Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), ISCIII, Spain
| | - Jan W Eriksson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden
| | - Maria J Pereira
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Sweden.
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Hsu TW, Thompson T, Solmi M, Vieta E, Yang FC, Tseng PT, Hsu CW, Tu YK, Yu CL, Tsai CK, Liang CS, Carvalho AF. Variability and efficacy in treatment effects on manic symptoms with lithium, anticonvulsants, and antipsychotics in acute bipolar mania: A systematic review and meta-analysis. EClinicalMedicine 2022; 54:101690. [PMID: 36247926 PMCID: PMC9561727 DOI: 10.1016/j.eclinm.2022.101690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Acute mania is a psychiatric emergency requiring rapid management. However, randomised controlled trials (RCTs) have shown considerable individual differences in treatment effects on manic symptoms with antimanic drugs. METHODS We searched the MEDLINE, CENTRAL, EMBASE, PsycINFO, and ClinicalTrials.gov to identify RCTs without language restrictions from inception to April 19, 2022. We included double-blind RCTs of oral antimanic monotherapy versus placebo in adult patients. The primary outcome was variability in improvement of manic symptoms (assessed using the coefficient of variation ratio [CVR]). The secondary outcomes were overall improvement of manic symptoms and acceptability (i.e., discontinuation for any reason). The pooled effects of outcomes were calculated by random-effects meta-analyses using restricted maximum likelihood methods. The quality of the included studies was assessed using the Cochrane Risk of Bias (ROB) Assessment Tool. This study was registered with OSF (DOI:10.17605/OSF.IO/G4JNY). FINDINGS We included 39 RCTs (N=12150; mean age=39·9 years, interquartile range [IQR]=38·7-41·1; mean proportion of female=48·6%, IQR=42·3%-52·3%) and investigated 14 antimanic drugs. We found that eight antimanic drugs compared to placebo were associated with lower CVRs (95% confidence interval [CI]; I2), including risperidone (0·51; 0·37-0·70; 0%), haloperidol (0·54; 0·44-0·67; 4%), olanzapine (0·59; 0·44-0·79; 47%), ziprasidone (0·61; 0·53-0·71; 0%), lithium (0·63; 0·52-0·76; 0%), quetiapine (0·65; 0·48-0·87; 2%), aripiprazole (0·68; 0·56-0·84; 25%), and cariprazine (0·70; 0·49-0·99; 28%). There were nine antimanic drugs associated with greater efficacy than placebo, including risperidone (reported as standardised mean difference; 95% CI; I2: 0·64; 0·31-0·97; 15%), haloperidol (0·57; 0·29-0·85; 64%), cariprazine (0·51; 0·24-0·78; 0%), olanzapine (0·44; 0·30-0·58; 0%), lithium (0·42; 0·29-0·55; 0%), ziprasidone (0·42; 0·26-0·58; 0%), quetiapine (0·40; 0·13-0·67; 0%), asenapine (0·40; 0·13-0·67; 0%), and aripiprazole (0·32; 0·14-0·49; 53%). Ziprasidone (reported as risk ratio; 95% CI; I2: 0·83; 0·79-0·89; 0%) and olanzapine (0·63; 0·49-0·80; 35%) were associated with better acceptability relative to placebo. Among the 39 RCTs, none had a high ROB. INTERPRETATION We demonstrated that eight antimanic drugs were associated with lower variability and better efficacy than placebo, suggesting that these antimanic drugs were associated with more homogenous and predictable improvements of manic symptoms in patients with acute mania. FUNDING The study was supported by from the Ministry of Science and Technology (MOST-110-2314-B-016-035, MOST-111-2314-B-016-054), Medical Affairs Bureau (MND-MAB-D-111102), and Tri-service General Hospital (TSGH-E-111229).
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Affiliation(s)
- Tien-Wei Hsu
- Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Trevor Thompson
- Centre for Chronic Illness and Ageing, University of Greenwich, London, UK
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Mental Health, The Ottawa Hospital, Ottawa, ON K1H 8L6, Canada
- Clinical Epidemiology Programme, Ottawa Hospital Research Institute (OHRI), University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Hospital Clinic, Institute of Neuroscience, Universityof Barcelona, IDIBAPS, Barcelona, Spain
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
| | - Ping-Tao Tseng
- Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung City, Taiwan
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Chih-Wei Hsu
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yu-Kang Tu
- Institute of Epidemiology & Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chia-Ling Yu
- Department of Pharmacy, Chang-Gung Memorial Hospital, Linkou, Taiwan
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
- Corresponding author at: Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, No.325, Section 2, Cheng-Kung Road, Neihu District, Taipei City 114, Taiwan.
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
- Department of Psychiatry, National Defence Medical Centre, Taipei, Taiwan
- Corresponding author at: Department of Psychiatry, No. 60, Xinmin Road, Beitou District, Taipei 11243, Taiwan.
| | - Andre F. Carvalho
- IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
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Meyer JM, Simmons A, Jiang Y, Graham C, Yagoda S, McDonnell D. Olanzapine/samidorphan combination consistently mitigates weight gain across various subgroups of patients. CNS Spectr 2022; 28:1-4. [PMID: 36226902 DOI: 10.1017/s1092852922000967] [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] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A combination of olanzapine and the opioid receptor antagonist samidorphan (OLZ/SAM) has been approved in the United States for the treatment of adults with schizophrenia or adults with bipolar I disorder. In a phase 3 study in adults with schizophrenia (ENLIGHTEN-2), OLZ/SAM treatment was associated with significantly less weight gain compared with olanzapine. Prespecified subgroup analyses explored the consistency of the weight mitigation effect of OLZ/SAM vs olanzapine across demographic subgroups in ENLIGHTEN-2. METHODS The multicenter, randomized, double-blind ENLIGHTEN-2 study (NCT02694328) included outpatients aged 18-55 years with a diagnosis of schizophrenia based on DSM-5 criteria, a body mass index (BMI) of 18 to 30 kg/m2, and stable body weight (self-reported change ≤5% for ≥3 months before study entry). Patients were randomized 1:1 to receive OLZ/SAM or olanzapine for 24 weeks. Co-primary endpoints (previously reported) were percent change in body weight and proportion of patients with at least 10% weight gain from baseline at week 24. Prespecified exploratory subgroup analyses by sex, age, self-reported race, and baseline BMI were conducted. RESULTS At week 24, treatment with OLZ/SAM resulted in numerically less percent weight gain than with olanzapine across all subgroups evaluated. The proportion of patients with at least 10% weight gain was smaller in each subgroup treated with OLZ/SAM vs olanzapine. CONCLUSION In these exploratory subgroup analyses from the ENLIGHTEN-2 study, weight-mitigating effects of OLZ/SAM vs olanzapine were observed consistently across patient subgroups and were in line with results from the overall study population.
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Affiliation(s)
- Jonathan M Meyer
- University of California San Diego School of Medicine, La Jolla, CA, USA
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Ralph AF, Brennan L, Byrne S, Caldwell B, Farmer J, Hart LM, Heruc GA, Maguire S, Piya MK, Quin J, Trobe SK, Wallis A, Williams-Tchen AJ, Hay P. Management of eating disorders for people with higher weight: clinical practice guideline. J Eat Disord 2022; 10:121. [PMID: 35978344 PMCID: PMC9386978 DOI: 10.1186/s40337-022-00622-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/24/2022] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION The prevalence of eating disorders is high in people with higher weight. However, despite this, eating disorders experienced by people with higher weight have been consistently under-recognised and under-treated, and there is little to guide clinicians in the management of eating disorders in this population. AIM The aim of this guideline is to synthesise the current best practice approaches to the management of eating disorders in people with higher weight and make evidence-based clinical practice recommendations. METHODS The National Eating Disorders Collaboration Steering Committee auspiced a Development Group for a Clinical Practice Guideline for the treatment of eating disorders for people with higher weight. The Development Group followed the 'Guidelines for Guidelines' process outlined by the National Health and Medical Research Council and aim to meet their Standards to be: 1. relevant and useful for decision making; 2. transparent; 3. overseen by a guideline development group; 4. identifying and managing conflicts of interest; 5. focused on health and related outcomes; 6. evidence informed; 7. making actionable recommendations; 8. up-to-date; and, 9. accessible. The development group included people with clinical and/or academic expertise and/or lived experience. The guideline has undergone extensive peer review and consultation over an 18-month period involving reviews by key stakeholders, including experts and organisations with clinical academic and/or lived experience. RECOMMENDATIONS Twenty-one clinical recommendations are made and graded according to the National Health and Medical Research Council evidence levels. Strong recommendations were supported for psychological treatment as a first-line treatment approach adults (with bulimia nervosa or binge-eating disorder), adolescents and children. Clinical considerations such as weight stigma, interprofessional collaborative practice and cultural considerations are also discussed. CONCLUSIONS This guideline will fill an important gap in the need to better understand and care for people experiencing eating disorders who also have higher weight. This guideline acknowledges deficits in knowledge and consequently the reliance on consensus and lower levels of evidence for many recommendations, and the need for research particularly evaluating weight-neutral and other more recent approaches in this field.
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Affiliation(s)
| | - Leah Brennan
- School of Psychology and Public Health, La Trobe University, Wodonga, Australia
| | - Sue Byrne
- Department of Psychology, University of Western Australia, Perth, Australia
| | | | - Jo Farmer
- Lived Experience Advocate, Melbourne, Australia
| | - Laura M. Hart
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Gabriella A. Heruc
- Eating Disorders and Nutrition Research Group (ENRG), School of Medicine, Western Sydney University, Sydney, Australia
| | - Sarah Maguire
- InsideOut Institute for Eating Disorders, The Boden Collaboration for Obesity, Nutrition, Exercise and Eating Disorders, The University of Sydney, Sydney, Australia
- Sydney Local Health District, NSW Health, Sydney, Australia
| | - Milan K. Piya
- School of Medicine, Western Sydney University, Macarthur Clinical School, Sydney, Australia
- Camden and Campbelltown Hospitals, Sydney, Australia
| | - Julia Quin
- Lived Experience Advocate, Melbourne, Australia
| | - Sarah K. Trobe
- National Eating Disorders Collaboration, Sydney, Australia
| | - Andrew Wallis
- Sydney Children’s Hospitals Network, The Children’s Hospital Westmead, Sydney, Australia
| | | | - Phillipa Hay
- Eating Disorders and Body Image (EDBI), Translational Health Research Institute, School of Medicine, Western Sydney University, Sydney, Australia
- South Western Sydney Local Health District, Sydney, Australia
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11
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Haddad HW, Boardman E, Williams B, Mouhaffel R, Kaye AM, Kaye AD. Combination Olanzapine and Samidorphan for the Management of Schizophrenia and Bipolar 1 Disorder in Adults: A Narrative Review. Health Psychol Res 2022; 10:34224. [DOI: 10.52965/001c.34224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/12/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
| | | | | | | | - Adam M. Kaye
- Thomas J. Long School of Pharmacy and Health Sciences, University of the Pacific
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12
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Jawad MY, Alnefeesi Y, Lui LMW, Ceban F, Chen-Li DCJ, Teopiz K, Jaberi S, Gillissie ES, Vincenzo JDD, Rosenblat JD, McIntyre RS. Olanzapine and samidorphan combination treatment: A systematic review. J Affect Disord 2022; 301:99-106. [PMID: 35007644 DOI: 10.1016/j.jad.2022.01.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 01/01/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The overarching aim of this review is to synthesize the efficacy, tolerability, and weight-mitigation effects of the olanzapine/samidorphan (OLZ/SAM) combination treatment in adults with schizophrenia and bipolar disorder-I. METHODS A systematic search of PubMed, Web of Science, Embase, and The Cochrane Library was conducted on August 15th, 2021. Studies were included if they investigated the use of OLZ/SAM treatment in patients with schizophrenia or bipolar disorder-I, and reported the clinical outcomes: efficacy, change in weight or waist circumference, tolerability, pharmacokinetics, or change in metabolic parameters. A narrative synthesis was undertaken of the data. RESULTS Eight studies met the inclusion criteria. All identified studies were conducted in adults with schizophrenia. Compared to OLZ-monotherapy, OLZ/SAM was associated with decreased odds of developing clinically significant (>10%) weight gain (OR=0.50, 95% CI:0.31,0.80; p= 0.003) and increase in waist circumference (risk difference = -17.1% 95% CI:-26.3,-7.8) from baseline measurements respectively. In another study, OLZ was 2.7 times more associated with clinically significant weight gain as compared to OLZ/SAM (OR=2.73, 95% CI:1.11, 6.67; p = 0.023). The clinical efficacy of OLZ/SAM remained similar to OLZ with improved tolerability in both short- and long-term studies with no significantly altered pharmacokinetic properties of the constituent agents. CONCLUSION OLZ/SAM-treatment is associated with mitigated weight-gain liability when compared to OLZ-monotherapy in adults with schizophrenia. Additional studies are needed to ascertain patient acceptability, appropriate selection and sequencing of OLZ/SAM in the treatment algorithms for adults with schizophrenia (and BD-I), as well as to determine cost-effectiveness and long-term metabolic effects.
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Affiliation(s)
| | - Yazen Alnefeesi
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Leanna M W Lui
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Felicia Ceban
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - David C J Chen-Li
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Kayla Teopiz
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Saja Jaberi
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Emily S Gillissie
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Joshua D Di Vincenzo
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada.
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13
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Abstract
BACKGROUND The endogenous opioid system affects metabolism, including weight regulation. Evidence from preclinical and clinical studies provides a rationale for targeting this system to mitigate weight-related side effects of antipsychotics. This review describes the role of the opioid system in regulating weight and metabolism, examines the effects of opioid receptor antagonism on those functions, and explores the use of opioid antagonists to mitigate antipsychotic-associated weight gain and/or metabolic effects. METHODS A PubMed literature search was conducted to identify representative opioid antagonists and associated preclinical and clinical studies examining their potential for the regulation of weight and metabolism. RESULTS The mu opioid receptor (MOR), delta opioid receptor (DOR), and kappa opioid receptor (KOR) types have overlapping but distinct patterns of central and peripheral expression, and each contributes to the regulation of body weight and metabolism. Three representative opioid antagonists (eg, naltrexone, samidorphan, and LY255582) were identified for illustration. These opioid antagonists differed in their receptor binding and pharmacokinetic profiles, including oral bioavailability, systemic clearance, and half-life, and were associated with varying effects on food intake, energy utilization, and metabolic dysregulation. CONCLUSIONS Preclinical and clinical data suggest that antagonism of the endogenous opioid system is a mechanism to address antipsychotic-associated weight gain and metabolic dysregulation. However, evidence suggests that the differing roles of MOR, DOR, and KOR in metabolism, together with the differences in receptor binding, pharmacokinetic, and functional activity profiles of the opioid receptor antagonists discussed in this review, likely contribute to their differential pharmacodynamic effects and clinical outcomes observed regarding antipsychotic-associated weight gain.
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14
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Qiu Y, Li M, Zhang Y, Liu Y, Zhao Y, Zhang J, Jia Q, Li J. Berberine treatment for weight gain in patients with schizophrenia by regulating leptin rather than adiponectin. Asian J Psychiatr 2022; 67:102896. [PMID: 34773803 DOI: 10.1016/j.ajp.2021.102896] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/04/2021] [Accepted: 10/20/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Berberine could improve antipsychotic-induced weight gain in obese cell lines and animal models. This study aimed to exam the effect of berberine on weight gain in patients with schizophrenia. METHODS Each subject who met DSM-IV-TR criteria for schizophrenia had been on stable dose of a single antipsychotic for at least one month. In an 8-week randomized, double-blind, placebo-controlled study, subjects received either berberine (900 mg per day) or placebo. Anthropometric parameters, leptin and adiponectin were measured at baseline, week 4, and week 8. RESULTS A total of 65 patients were enrolled, 49 of which completed the treatment. At the 8th week, the mean weight of patients in the berberine group (N = 27) lost 1.10 kg, while in the placebo group (N = 22) gained 1.45 kg. There were significant differences in body weight (Ftime*group=10.493, P = 0.001), BMI (Ftime*group=9.344, P = 0.002) and leptin (Ftime*group=6.265, P = 0.003). Further, the change of leptin had significant positive correlations with the changes of body weight(r = 0.395, P = 0.041) and BMI(r = 0.389, P = 0.045). There was no significant difference in adverse events between the two groups (P > 0.05). CONCLUSION This study suggests that berberine is a potential weight loss and weight maintenance drug for patients with schizophrenia. The effect of berberine on weight gain may be related to the regulation of leptin, but not adiponectin.
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Affiliation(s)
- Yuying Qiu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Meijuan Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yonghui Zhang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Ying Liu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yongping Zhao
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Jing Zhang
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qiong Jia
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
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15
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Elsheikh SSM, Müller DJ, Pouget JG. Pharmacogenetics of Antipsychotic Treatment in Schizophrenia. Methods Mol Biol 2022; 2547:389-425. [PMID: 36068471 DOI: 10.1007/978-1-0716-2573-6_14] [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] [Indexed: 06/15/2023]
Abstract
Antipsychotics are the mainstay treatment for schizophrenia. There is large variability between individuals in their response to antipsychotics, both in efficacy and adverse effects of treatment. While the source of interindividual variability in antipsychotic response is not completely understood, genetics is a major contributing factor. The identification of pharmacogenetic markers that predict antipsychotic efficacy and adverse reactions is a growing area of research and holds the potential to replace the current trial-and-error approach to treatment selection in schizophrenia with a personalized medicine approach.In this chapter, we provide an overview of the current state of pharmacogenetics in schizophrenia treatment. The most promising pharmacogenetic findings are presented for both antipsychotic response and commonly studied adverse reactions. The application of pharmacogenetics to schizophrenia treatment is discussed, with an emphasis on the clinical utility of pharmacogenetic testing and directions for future research.
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Affiliation(s)
| | - Daniel J Müller
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
| | - Jennie G Pouget
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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16
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An H, Fan H, Yun Y, Chen S, Qi S, Ma B, Shi J, Wang Z, Yang F. Relationship Between Plasma Olanzapine and N-Desmethyl-Olanzapine Concentration and Metabolic Parameters in Patients With Schizophrenia. Front Psychiatry 2022; 13:930457. [PMID: 35800023 PMCID: PMC9253419 DOI: 10.3389/fpsyt.2022.930457] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/30/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES The aim of the present study was to investigate a potential relationship between metabolic parameters and steady-state plasma concentrations of olanzapine (OLA) and its metabolite, 4-N'-desmethyl-olanzapine (DMO) in patients with schizophrenia taking therapeutic doses. METHODS A total of 352 inpatients, diagnosed with schizophrenia according to the DSM-V criteria and treated with OLA, were investigated. The plasma concentrations of OLA and DMO were measured by high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS). Fasting blood samples were measured for insulin, glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), C-reactive protein (CRP) and homocysteine, and differences in these parameters were investigated in relation to plasma concentrations of OLA and DMO. RESULTS Lower plasma DMO concentrations were associated with higher glucose and TG levels and homeostasis model assessment of insulin resistance (HOMA-IR), while higher plasma OLA concentrations were associated with higher CRP and homocysteine levels in the OLA-treated patients with schizophrenia. CONCLUSION These results demonstrate that OLA and its metabolite DMO may have different effects on OLA-induced metabolic abnormalities. DMO might have a counteracting effects on glucose-insulin homeostasis and lipid metabolic abnormalities, which suggests that regular measure of various metabolic parameters and drug monitoring on both OLA and DMO are recommended in OLA-treated patients with schizophrenia.
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Affiliation(s)
- Huimei An
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Hongzhen Fan
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Yajun Yun
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Song Chen
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Siyuan Qi
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Botao Ma
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Jing Shi
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Zhiren Wang
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Fude Yang
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
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17
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Wang Y, Zeng L, Chen L, Zhou X, Huo L, Wang T, Zhou Y, Zhang X. The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study. PeerJ 2021; 9:e12553. [PMID: 34909279 PMCID: PMC8641481 DOI: 10.7717/peerj.12553] [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: 12/30/2020] [Accepted: 11/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.
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Affiliation(s)
- Yanni Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Lingyun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Lijuan Chen
- School of Literature, Journalism & Communication, South-Central University for Nationalities, Wuhan, China
| | - Xin Zhou
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
| | - Lijuan Huo
- Department of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tingwei Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Yongjie Zhou
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Abstract
PURPOSE OF REVIEW Over the last ten years, the treatment of psychosis has seen a near explosion of creative development in both novel agents and new delivery modalities. The current review summarizes these developments over the past decade (2011-2020). We performed a systematic review utilizing PubMed and PsychInfo with the aim of identifying all the RCT and related analyses in adults with psychosis (schizophrenia and mania). RECENT FINDINGS We identified 11 significant developments: the introduction of new antipsychotics cariprazine, brexpiprazole, lumateperone, and pimavanserin; introduction of new delivery methods: subcutaneous long-acting risperidone, aripiprazole lauroxil, transdermal asenapine, and inhaled loxapine; and the introduction of new approaches such as olanzapine/samidorphan for olanzapine-associated weight gain, examination of the TAAR1 agonist SEP 363,856 as a test of concept, and the combination of Xanomeline/Trospium, an M1 and M4 muscarinic receptor agonist in conjunction with a peripheral anticholinergic. Last decade has seen a tremendous development in second-generation antipsychotics which provides unprecedented treatment options for clinicians in treating psychosis.
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Citrome L, Graham C, Simmons A, Jiang Y, Todtenkopf MS, Silverman B, DiPetrillo L, Cummings H, Sun L, McDonnell D. An Evidence-Based Review of OLZ/SAM for Treatment of Adults with Schizophrenia or Bipolar I Disorder. Neuropsychiatr Dis Treat 2021; 17:2885-2904. [PMID: 34526769 PMCID: PMC8437420 DOI: 10.2147/ndt.s313840] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/14/2021] [Indexed: 12/19/2022] Open
Abstract
Olanzapine effectively treats schizophrenia and bipolar I disorder (BD-I); however, its use is limited by the risk of significant weight gain and metabolic effects. OLZ/SAM, a combination of olanzapine and samidorphan, was recently approved in the United States for the treatment of adults with schizophrenia or BD-I. OLZ/SAM provides the efficacy of olanzapine while mitigating olanzapine-associated weight gain through opioid-receptor blockade. Here, we summarize OLZ/SAM clinical data characterizing pharmacokinetics, antipsychotic efficacy, weight mitigation efficacy, safety, and long-term treatment effects. In an acute exacerbation of schizophrenia, OLZ/SAM and olanzapine provided similar symptom improvements versus placebo at week 4. In stable outpatients with schizophrenia, OLZ/SAM treatment resulted in significantly less weight gain, reducing the risk for clinically significant weight gain and waist circumference increases of ≥5 cm by half, compared with olanzapine at week 24. Based on open-label extension studies, OLZ/SAM is safe and well tolerated for up to 3.5 years of treatment, while maintaining schizophrenia symptom control and stabilizing weight. The olanzapine component of OLZ/SAM was bioequivalent to branded olanzapine (Zyprexa); adjunctive OLZ/SAM had no clinically significant effects on lithium or valproate pharmacokinetics. Additionally, OLZ/SAM had no clinically relevant effect on electrocardiogram parameters in a dedicated thorough QT study. Overall, safety and tolerability findings from clinical studies with OLZ/SAM indicate a similar safety profile to that of olanzapine, with the exception of less weight gain. As OLZ/SAM contains the opioid antagonist samidorphan, it is contraindicated in patients using opioids and in those undergoing acute opioid withdrawal. Clinical trial results from more than 1600 subjects support the use of OLZ/SAM as a new treatment option for patients with schizophrenia or BD-I.
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Affiliation(s)
- Leslie Citrome
- Department of Psychiatry and Behavioral Sciences, New York Medical College, Valhalla, NY, USA
| | | | | | | | | | | | | | | | - Lei Sun
- Alkermes, Inc., Waltham, MA, USA
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20
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Woldekidan NA, Mohammed AS, Degu A, Tadiwos Y. Prevalence of metabolic syndrome and associated factors among psychiatric patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. PLoS One 2021; 16:e0256195. [PMID: 34437577 PMCID: PMC8389454 DOI: 10.1371/journal.pone.0256195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 08/03/2021] [Indexed: 01/22/2023] Open
Abstract
Background Psychiatric patients are at increased risk of being overweight or obese, and subsequently develop metabolic syndrome. Nevertheless, data regarding associated factors for weight gain are limited and inconsistent. Objective The present study aimed to determine the risk of metabolic syndrome and its associated factors among psychiatric patients. Method A cross-sectional quantitative study was conducted among all psychiatric patients at the Psychiatric Unit of the University of Gondar Comprehensive Specialized Hospital from March 1- April 1, 2018. All eligible psychiatric patients were interviewed about their socio-demographic status,and clinical characteristics and useful parameters for the study were recorded from the medical records of the patients and by measuring waist to height ratio. Descriptive statistics were used to summarize baseline information.Binary logistic regression was used to determine the associated factors and P-value <0.05 and confidence interval (CI) of 95% were used as cut off points for determining statistical significance. Result From 300 patients included in the study, 168(56%) patients were females,and around 50.3% of the study participants had low literacy levels. As per waist to a height ratio scale, 58% (174) of the patients had a risk of metabolic syndrome. The Binary logistic regression analysis indicated that sex (p-<0.0001), occupation (p -0.032), marital status (p-0.006), and distance from the hospital (p<0.0001) were statistically significant determinants of metabolic syndrome risk in the psychiatric patient in our setting. Conclusion The majority of the psychiatric patients in the study setting had a risk of metabolic syndrome. Sex, marital status, employment status, and distance to the hospital were significantly associated with metabolic syndrome. Routine physical and laboratory investigations to detect metabolic syndrome are indispensable in psychiatric patients to prevent cardiovascular complications.
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Affiliation(s)
- Nigist Alemayehu Woldekidan
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Ammas Siraj Mohammed
- Department of Clinical Pharmacy, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Amsalu Degu
- School of Pharmacy and Health Sciences, United States International University Africa, Nairobi, Kenya
| | - Yohannes Tadiwos
- Department of Pharmacology, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
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21
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Metabolic and behavioral effects of olanzapine and fluoxetine on the model organism Caenorhabditis elegans. Saudi Pharm J 2021; 29:917-929. [PMID: 34408550 PMCID: PMC8363109 DOI: 10.1016/j.jsps.2021.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 07/04/2021] [Indexed: 12/29/2022] Open
Abstract
The use of many psychotropic drugs (PDs) is associated with increased caloric intake, significant weight gain, and metabolic disorders. The nematode Caenorhabditis elegans (C. elegans) has been used to study the effects of PDs on food intake. However, little is known about PDs effects on the body fat of C. elegans. In C. elegans, feeding behavior and fat metabolism are regulated through independent mechanisms. This study aims to evaluate the body fat and food intake of C. elegans in response to treatment olanzapine and fluoxetine. Here we report that, with careful consideration to the dosage used, administration of fluoxetine and olanzapine increases body fat and food intake in C. elegans.
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Long-term safety and durability of effect with a combination of olanzapine and samidorphan in patients with schizophrenia: results from a 1-year open-label extension study. CNS Spectr 2021; 26:383-392. [PMID: 32393412 DOI: 10.1017/s1092852920001376] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Combination olanzapine and samidorphan (OLZ/SAM), in development for schizophrenia and bipolar I disorder, is intended to provide the efficacy of olanzapine while mitigating olanzapine-associated weight gain. OLZ/SAM safety, tolerability, and efficacy from a 52-week open-label extension study in patients with schizophrenia are reported. METHODS Patients previously completing the 4-week, double-blind ENLIGHTEN-1 study switched from OLZ/SAM, olanzapine, or placebo to OLZ/SAM. Assessments included adverse events (AEs), weight, vital signs, Positive and Negative Syndrome Scale (PANSS), and Clinical Global Impression-Severity (CGI-S) scores. Baseline was prior to first dose of OLZ/SAM in the extension study. RESULTS In total, 281 patients enrolled, 277 received ≥1 OLZ/SAM dose, and 183 (66.1%) completed 52 weeks. Reasons for discontinuation included patient withdrawal (15.5%), loss to follow-up (6.9%), AEs (5.8%), and lack of efficacy (1.8%). AEs were reported in 136 (49.1%) patients; increased weight (13%) and somnolence (8%) were most common. Ten serious AEs were reported in eight patients (2.9%); none were considered treatment related. There were no deaths. Mean (SD) baseline weight was 79.1 (17.8) kg. Mean weight change from baseline to week 52 was 1.86 kg (2.79% increase). PANSS total and CGI-S scores continued to decline over 52 weeks (mean [95% CI] changes from baseline to week 52: -16.2 [-18.5, -14.0] and -0.9 [-1.0, -0.8], respectively). CONCLUSION OLZ/SAM was generally well tolerated in this extension study; most patients completed the 52-week treatment period with sustained improvement in schizophrenia symptoms. Mean increases in weight stabilized by week 6 with limited subsequent change through end of treatment.
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Abstract
Samidorphan, which was developed by Alkermes, is an opioid receptor antagonist that has been co-formulated with olanzapine into a single-dose oral tablet to mitigate the risk of weight gain while providing the therapeutic effect of olanzapine. Olanzapine/samidorphan (LYBALVI™) was recently approved in the USA for the treatment of schizophrenia and bipolar I disorder. This article summarizes the milestones in the development of samidorphan leading to this first approval of olanzapine/samidorphan.
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Lockington MR, Hughes RN. Effects of olanzapine on anxiety-related behaviour in male and female rats assessed after 21-24 and 42-45 days of chronic treatment. Behav Pharmacol 2021; 32:194-211. [PMID: 33229894 DOI: 10.1097/fbp.0000000000000612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Olanzapine can decrease anxiety and impair memory, but there is limited information about length of treatment or sex differences in its effectiveness. Therefore, effects of 21-24 and 41-45 days of treatment and sex differences on anxiety-related behaviour and spatial memory were assessed in PVG/c (PVG/c is the internationally recognised way of referring to this rat strain) male and female rats. From 70 days after birth (PND70), all rats received no drug or 6, 11 or 15 mg/kg/day olanzapine via drinking water. From PND91, they were given four daily tests in an open field, light-dark box, zero maze and Y maze, and then again 21 days later from PND112. At PND91-94, all olanzapine doses decreased open-field ambulation and walking, and 6 and 15 mg/kg/day decreased rearing, increased immobility while 15 mg/kg/day decreased shuttles in the light/dark box (all suggesting higher anxiety). At PND112-115, 11 mg/kg/day increased open-field ambulation, walking, rearing, centre occupancy and light/dark-box shuttles and light-side entries while decreasing open-field immobility and corner occupancy (all suggesting lower anxiety). There were also several results in the open field and light/dark box suggesting olanzapine decreased anxiety for males but increased it for females. A significant olanzapine-related preference for the novel Y-maze arm either improved spatial memory, or decreased anxiety. Olanzapine thus appeared anxiogenic after 21 days' treatment, becoming anxiolytic after 42 days. This could depend on the sex of the rats (females more responsive to lower doses), and the dose (11 mg/kg/day being most effective). Therefore, while olanzapine was generally anxiolytic, it also had some treatment length- and sex-related anxiogenic effects.
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Affiliation(s)
- Molly R Lockington
- School of Psychology Speech and Hearing, University of Canterbury, Christchurch, New Zealand
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25
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Specific Anti-hostility Effects of Atypical Antipsychotics in Persons with Schizophrenia: From Clozapine to Cariprazine. Harv Rev Psychiatry 2021; 29:20-34. [PMID: 33417374 DOI: 10.1097/hrp.0000000000000275] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
LEARNING OBJECTIVE After participating in this activity, learners should be better able to:• Evaluate the anti-hostility effects of available atypical antipsychotic agents. ABSTRACT In addition to hallucinations and delusions, persons with schizophrenia may exhibit hostility. In clinical trials of antipsychotics, hostility is routinely measured as part of rating scales such as the Brief Psychiatric Rating Scale or Positive and Negative Syndrome Scale. The availability of the atypical antipsychotic clozapine in 1989 led to the observation that it is possible to have a treatment effect on hostility that is independent of the treatment effect on hallucinations or delusions, and independent of general sedative effects. The data supporting this notion of a specific anti-hostility effect are the most robust for clozapine as the data include specifically designed randomized, controlled clinical trials. A specific anti-hostility effect is also observable to various degrees with most of the other atypical antipsychotics, as evidenced in post hoc analyses of clinical trials originally conducted for regulatory purposes, supplemented by post hoc analyses of large effectiveness trials. The generalizability of these studies, however, may be limited. Participants in these trials were not selected for aggressive and hostile behavior. Some of the studies also excluded patients with substance use disorders. The latter is particularly important because alcohol and substance use are well known to increase risk for hostility and aggression. Nevertheless, the repeated demonstrations of the specificity of an anti-hostility effect (in terms of statistical independence of effects on other positive symptoms and of sedation) are of potential clinical importance.
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Coventry PA, Young B, Balogun-Katang A, Taylor J, Brown JVE, Kitchen C, Kellar I, Peckham E, Bellass S, Wright J, Alderson S, Lister J, Holt RIG, Doherty P, Carswell C, Hewitt C, Jacobs R, Osborn D, Boehnke J, Siddiqi N. Determinants of Physical Health Self-Management Behaviours in Adults With Serious Mental Illness: A Systematic Review. Front Psychiatry 2021; 12:723962. [PMID: 34489764 PMCID: PMC8417946 DOI: 10.3389/fpsyt.2021.723962] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 07/23/2021] [Indexed: 01/27/2023] Open
Abstract
Behavioural interventions can support the adoption of healthier lifestyles and improve physical health outcomes, but it is unclear what factors might drive success of such interventions in people with serious mental illness (SMI). We systematically identified and reviewed evidence of the association between determinants of physical health self-management behaviours in adults with SMI. Data about American Association of Diabetes Educator's Self-Care Behaviours (AADE-7) were mapped against the novel Mechanisms of Action (MoA) framework. Twenty-eight studies were included in the review, reporting evidence on 104 determinant-behaviour links. Beliefs about capabilities and beliefs about consequences were the most important determinants of behaviour, especially for being physically active and healthy eating. There was some evidence that emotion and environmental context and resources played a role in determining reducing risks, being active, and taking medications. We found very limited evidence associated with problem solving, and no study assessed links between MoAs and healthy coping. Although the review predominantly identified evidence about associations from cross-sectional studies that lacked validated and objective measures of self-management behaviours, these findings can facilitate the identification of behaviour change techniques with hypothesised links to determinants to support self-management in people with SMI. Systematic Review Registration: PROSPERO, registration CRD42018099553.
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Affiliation(s)
- Peter A Coventry
- Department of Health Sciences, University of York, York, United Kingdom
| | - Ben Young
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | | | - Johanna Taylor
- Department of Health Sciences, University of York, York, United Kingdom
| | | | - Charlotte Kitchen
- Department of Health Sciences, University of York, York, United Kingdom
| | - Ian Kellar
- School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Emily Peckham
- Department of Health Sciences, University of York, York, United Kingdom
| | - Sue Bellass
- Department of Health Sciences, University of York, York, United Kingdom.,School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Judy Wright
- School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Sarah Alderson
- School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Jennie Lister
- Department of Health Sciences, University of York, York, United Kingdom
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Patrick Doherty
- Department of Health Sciences, University of York, York, United Kingdom
| | - Claire Carswell
- Department of Health Sciences, University of York, York, United Kingdom
| | - Catherine Hewitt
- Department of Health Sciences, University of York, York, United Kingdom
| | - Rowena Jacobs
- Centre for Health Economics, University of York, York, United Kingdom
| | - David Osborn
- Division of Psychiatry, University College London, London, United Kingdom
| | - Jan Boehnke
- Department of Health Sciences, University of York, York, United Kingdom.,School of Health Sciences, University of Dundee, Dundee, United Kingdom
| | - Najma Siddiqi
- Department of Health Sciences, University of York, York, United Kingdom.,Hull York Medical School, University of York, York, United Kingdom
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Tocco M, Newcomer JW, Mao Y, Pikalov A, Loebel A. Lurasidone and risk for metabolic syndrome: results from short- and long-term clinical studies in patients with schizophrenia. CNS Spectr 2020; 26:1-11. [PMID: 32921337 DOI: 10.1017/s1092852920001698] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
OBJECTIVE To assess the effects of treatment with lurasidone on risk for metabolic syndrome (MetS) in patients with schizophrenia. METHODS Rates of metabolic syndrome during treatment with lurasidone (40-160 mg/d) were analyzed using pooled, short-term data from three randomized, double-blind, placebo-controlled studies (vs olanzapine and quetiapine XR); long-term data from two active-comparator-controlled studies (vs risperidone and quetiapine XR); and data from two open-label studies in which patients were switched from olanzapine or risperidone to lurasidone. RESULTS MetS was defined based on the National Cholesterol Education Program criteria. In short-term studies, the odds of meeting criteria for MetS at week 6 LOCF (adjusted for baseline metabolic syndrome status) was similar for the lurasidone and placebo groups (OR = 1.18; [95% CI, 0.81-1.71]; P = .39), but the odds (vs placebo) were significantly greater for olanzapine (OR = 2.81; [95% CI, 1.53-5.15]; P < .001) and quetiapine (OR = 3.49; [95% CI, 1.93-6.29]; P < .0001). No dose effect was observed for lurasidone across the dose range of 40-160 mg/d. In long-term studies, the odds of MetS after 12 months of treatment was significantly higher for risperidone compared with lurasidone (OR = 2.12; 95% CI, 1.15-3.90; P = .016) and for quetiapine XR compared with lurasidone (OR = 3.92; 95% CI, 1.15-13.40; P = .029). In open-label extension studies, the rate of MetS decreased in patients switched to lurasidone after 6 weeks of treatment with olanzapine or 12 months of treatment with risperidone. CONCLUSION In this analysis of lurasidone clinical trials, the odds of developing metabolic syndrome were minimal during short- and long-term treatment with lurasidone (40-160 mg/d).
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Affiliation(s)
| | - John W Newcomer
- Thriving Mind, Miami, FL, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Yongcai Mao
- Sunovion Pharmaceuticals Inc., Fort Lee, NJ, USA
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28
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Ouabbou S, He Y, Butler K, Tsuang M. Inflammation in Mental Disorders: Is the Microbiota the Missing Link? Neurosci Bull 2020; 36:1071-1084. [PMID: 32592144 PMCID: PMC7475155 DOI: 10.1007/s12264-020-00535-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 03/18/2020] [Indexed: 01/15/2023] Open
Abstract
Research suggests that inflammation is important in the pathophysiology of mental disorders. In addition, a growing body of evidence has led to the concept of the microbiota-gut-brain axis. To understand the potential interactions, we begin by exploring the liaison between the immune system and mental disorders, then we describe the evidence that the microbiota impact the immune response in the developing brain. Next, we review the literature that has documented microbiome alterations in major mental disorders. We end with a summary of therapeutic applications, ranging from psycho-biotics to immunomodulatory drugs that could affect the microbiota-gut-brain axis, and potential treatments to alleviate the adverse effects of antipsychotics. We conclude that there is promising evidence to support the position that the microbiota plays an important role in the immunological pathophysiology of mental disorders with an emphasis on psychotic disorders and mood disorders. However, more research is needed to elucidate the mechanisms.
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Affiliation(s)
- Sophie Ouabbou
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, and Hunan Key Laboratory of Psychiatry and Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
- Cellular and Molecular Biology Research Centre, University of Costa Rica, San José, 11501, Costa Rica
| | - Ying He
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, and Hunan Key Laboratory of Psychiatry and Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
- Center for Behavioral Genomics, Department of Psychiatry, Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
| | - Keith Butler
- Center for Behavioral Genomics, Department of Psychiatry, Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Ming Tsuang
- Center for Behavioral Genomics, Department of Psychiatry, Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, 92093, USA
- Harvard Institute of Psychiatric Epidemiology and Genetics, Harvard School of Public Health, Boston, MA, 02115, USA
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Holt RIG. The Management of Obesity in People with Severe Mental Illness: An Unresolved Conundrum. PSYCHOTHERAPY AND PSYCHOSOMATICS 2020; 88:327-332. [PMID: 31587002 DOI: 10.1159/000503835] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 10/01/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom,
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30
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Sun L, von Moltke L, Rowland Yeo K. Physiologically-Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan. CPT Pharmacometrics Syst Pharmacol 2020; 9:106-114. [PMID: 31919994 PMCID: PMC7020312 DOI: 10.1002/psp4.12488] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/12/2019] [Indexed: 01/16/2023] Open
Abstract
A combination of the antipsychotic olanzapine and the opioid receptor antagonist samidorphan (OLZ/SAM) is intended to provide the antipsychotic efficacy of olanzapine while mitigating olanzapine-associated weight gain. As cytochrome P450 (CYP) 1A2 and CYP3A4 are the major enzymes involved in metabolism of olanzapine and samidorphan, respectively, physiologically-based pharmacokinetic (PBPK) modeling was applied to predict any drug-drug interaction (DDI) potential between olanzapine and samidorphan or between OLZ/SAM and CYP3A4/CYP1A2 inhibitors/inducers. A PBPK model for OLZ/SAM was developed and validated by comparing model-simulated data with observed clinical study data. Based on model-based simulations, no DDI between olanzapine and samidorphan is expected when administered as OLZ/SAM. CYP3A4 inhibition is predicted to have a weak effect on samidorphan exposure and negligible effect on olanzapine exposure. CYP3A4 induction is predicted to reduce both samidorphan and olanzapine exposure. CYP1A2 inhibition or induction is predicted to increase or decrease, respectively, olanzapine exposure only.
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Affiliation(s)
- Lei Sun
- Alkermes, Inc.WalthamMassachusettsUSA
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31
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Gossage-Worrall R, Hind D, Barnard-Kelly KD, Shiers D, Etherington A, Swaby L, Holt RIG. STructured lifestyle education for people WIth SchizophrEnia (STEPWISE): mixed methods process evaluation of a group-based lifestyle education programme to support weight loss in people with schizophrenia. BMC Psychiatry 2019; 19:358. [PMID: 31722694 PMCID: PMC6854755 DOI: 10.1186/s12888-019-2282-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 09/10/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND STEPWISE is a theory-informed self-management education programme that was co-produced with service users, healthcare professionals and interventionists to support weight loss for people with schizophrenia. We report the process evaluation to inform understanding about the intervention and its effectiveness in a randomised controlled trial (RCT) that evaluated its efficacy. METHODS Following the UK Medical Research Council (MRC) Guidelines for developing and evaluating complex interventions, we explored implementation quality. We considered causal mechanisms, unanticipated consequences and contextual factors associated with variation in actual and intended outcomes, and integrated treatment fidelity, using the programme theory and a pipeline logic model. We followed a modified version of Linnan and Steckler's framework and single case design. Qualitative data from semi-structured telephone interviews with service-users (n = 24), healthcare professionals delivering the intervention (n = 20) and interventionists (n = 7) were triangulated with quantitative process and RCT outcome data and with observations by interventionists, to examine convergence within logic model components. RESULTS Training and course materials were available although lacked co-ordination in some trusts. Healthcare professionals gained knowledge and some contemplated changing their practice to reflect the (facilitative) 'style' of delivery. They were often responsible for administrative activities increasing the burden of delivery. Healthcare professionals recognised the need to address antipsychotic-induced weight gain and reported potential value from the intervention (subject to the RCT results). However, some doubted senior management commitment and sustainability post-trial. Service-users found the intervention highly acceptable, especially being in a group of people with similar experiences. Service-users perceived weight loss and lifestyle benefits; however, session attendance varied with 23% (n = 47) attending all group-sessions and 17% (n = 36) attending none. Service-users who lost weight wanted closer monitoring and many healthcare professionals wanted to monitor outcomes (e.g. weight) but it was outside the intervention design. No clinical or cost benefit was demonstrated from the intermediate outcomes (RCT) and any changes in RCT outcomes were not due to the intervention. CONCLUSIONS This process evaluation provides a greater understanding of why STEPWISE was unsuccessful in promoting weight loss during the clinical trial. Further research is required to evaluate whether different levels of contact and objective monitoring can support people with schizophrenia to lose weight. TRIAL REGISTRATION ISRCTN, ISRCTN19447796. Registered 20 March 2014.
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Affiliation(s)
- Rebecca Gossage-Worrall
- Clinical Trials Research Unit, School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Daniel Hind
- 0000 0004 1936 9262grid.11835.3eClinical Trials Research Unit, School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA UK
| | - Katharine D. Barnard-Kelly
- 0000 0001 0728 4630grid.17236.31Faculty of Health & Social Science, Bournemouth University, Poole, Dorset, UK
| | - David Shiers
- 0000000121662407grid.5379.8Honorary Research Consultant, Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust and Honorary Reader in Early Psychosis, School of Health Sciences, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
| | - Angela Etherington
- Patient Representative, Independent Service User Consultant, Manchester, UK
| | - Lizzie Swaby
- 0000 0004 1936 9262grid.11835.3eClinical Trials Research Unit, School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA UK
| | - Richard I. G. Holt
- 0000 0004 1936 9297grid.5491.9Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK ,grid.430506.4University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Cryan JF, O'Riordan KJ, Cowan CSM, Sandhu KV, Bastiaanssen TFS, Boehme M, Codagnone MG, Cussotto S, Fulling C, Golubeva AV, Guzzetta KE, Jaggar M, Long-Smith CM, Lyte JM, Martin JA, Molinero-Perez A, Moloney G, Morelli E, Morillas E, O'Connor R, Cruz-Pereira JS, Peterson VL, Rea K, Ritz NL, Sherwin E, Spichak S, Teichman EM, van de Wouw M, Ventura-Silva AP, Wallace-Fitzsimons SE, Hyland N, Clarke G, Dinan TG. The Microbiota-Gut-Brain Axis. Physiol Rev 2019; 99:1877-2013. [DOI: 10.1152/physrev.00018.2018] [Citation(s) in RCA: 1243] [Impact Index Per Article: 248.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The importance of the gut-brain axis in maintaining homeostasis has long been appreciated. However, the past 15 yr have seen the emergence of the microbiota (the trillions of microorganisms within and on our bodies) as one of the key regulators of gut-brain function and has led to the appreciation of the importance of a distinct microbiota-gut-brain axis. This axis is gaining ever more traction in fields investigating the biological and physiological basis of psychiatric, neurodevelopmental, age-related, and neurodegenerative disorders. The microbiota and the brain communicate with each other via various routes including the immune system, tryptophan metabolism, the vagus nerve and the enteric nervous system, involving microbial metabolites such as short-chain fatty acids, branched chain amino acids, and peptidoglycans. Many factors can influence microbiota composition in early life, including infection, mode of birth delivery, use of antibiotic medications, the nature of nutritional provision, environmental stressors, and host genetics. At the other extreme of life, microbial diversity diminishes with aging. Stress, in particular, can significantly impact the microbiota-gut-brain axis at all stages of life. Much recent work has implicated the gut microbiota in many conditions including autism, anxiety, obesity, schizophrenia, Parkinson’s disease, and Alzheimer’s disease. Animal models have been paramount in linking the regulation of fundamental neural processes, such as neurogenesis and myelination, to microbiome activation of microglia. Moreover, translational human studies are ongoing and will greatly enhance the field. Future studies will focus on understanding the mechanisms underlying the microbiota-gut-brain axis and attempt to elucidate microbial-based intervention and therapeutic strategies for neuropsychiatric disorders.
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Affiliation(s)
- John F. Cryan
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Kenneth J. O'Riordan
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Caitlin S. M. Cowan
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Kiran V. Sandhu
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Thomaz F. S. Bastiaanssen
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Marcus Boehme
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Martin G. Codagnone
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Sofia Cussotto
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Christine Fulling
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Anna V. Golubeva
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Katherine E. Guzzetta
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Minal Jaggar
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Caitriona M. Long-Smith
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Joshua M. Lyte
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Jason A. Martin
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Alicia Molinero-Perez
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Gerard Moloney
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Emanuela Morelli
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Enrique Morillas
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Rory O'Connor
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Joana S. Cruz-Pereira
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Veronica L. Peterson
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Kieran Rea
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Nathaniel L. Ritz
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Eoin Sherwin
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Simon Spichak
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Emily M. Teichman
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Marcel van de Wouw
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Ana Paula Ventura-Silva
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Shauna E. Wallace-Fitzsimons
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Niall Hyland
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Gerard Clarke
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
| | - Timothy G. Dinan
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland; and Department of Physiology, University College Cork, Cork, Ireland
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Abstract
PURPOSE OF REVIEW The prevalence of diabetes is 2-3-fold higher in people with severe mental illness than the general population. There are concerns that antipsychotics increase the risk of diabetes. This review will examine the latest epidemiological studies linking antipsychotics and diabetes, as well as the mechanisms underlying the association and the clinical implications to minimise the impact of antipsychotics on metabolic health. RECENT FINDINGS Although there is an increased risk of diabetes in people with first-episode psychosis, the prevalence increases rapidly after antipsychotics are started. Antipsychotics likely increase the risk of diabetes through weight gain and directly by adversely affecting insulin sensitivity and secretion. It is important to implement measures to prevent diabetes, to screen for diabetes to ensure prompt diagnosis and to provide effective diabetes care. Further research is needed to understand how antipsychotics cause diabetes and to improve the clinical management of diabetes in people with severe mental illness.
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Affiliation(s)
- Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
- University Hospital Southampton NHS Trust, The IDS Building (MP887), Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK.
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Holt RI, Hind D, Gossage-Worrall R, Bradburn MJ, Saxon D, McCrone P, Morris TA, Etherington A, Shiers D, Barnard K, Swaby L, Edwardson C, Carey ME, Davies MJ, Dickens CM, Doherty Y, French P, Greenwood KE, Kalidindi S, Khunti K, Laugharne R, Pendlebury J, Rathod S, Siddiqi N, Wright S, Waller G, Gaughran F, Barnett J, Northern A. Structured lifestyle education to support weight loss for people with schizophrenia, schizoaffective disorder and first episode psychosis: the STEPWISE RCT. Health Technol Assess 2019; 22:1-160. [PMID: 30499443 DOI: 10.3310/hta22650] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Obesity is twice as common in people with schizophrenia as in the general population. The National Institute for Health and Care Excellence guidance recommends that people with psychosis or schizophrenia, especially those taking antipsychotics, be offered a healthy eating and physical activity programme by their mental health care provider. There is insufficient evidence to inform how these lifestyle services should be commissioned. OBJECTIVES To develop a lifestyle intervention for people with first episode psychosis or schizophrenia and to evaluate its clinical effectiveness, cost-effectiveness, delivery and acceptability. DESIGN A two-arm, analyst-blind, parallel-group, randomised controlled trial, with a 1 : 1 allocation ratio, using web-based randomisation; a mixed-methods process evaluation, including qualitative case study methods and logic modelling; and a cost-utility analysis. SETTING Ten community mental health trusts in England. PARTICIPANTS People with first episode psychosis, schizophrenia or schizoaffective disorder. INTERVENTIONS Intervention group: (1) four 2.5-hour group-based structured lifestyle self-management education sessions, 1 week apart; (2) multimodal fortnightly support contacts; (3) three 2.5-hour group booster sessions at 3-monthly intervals, post core sessions. Control group: usual care assessed through a longitudinal survey. All participants received standard written lifestyle information. MAIN OUTCOME MEASURES The primary outcome was change in weight (kg) at 12 months post randomisation. The key secondary outcomes measured at 3 and 12 months included self-reported nutrition (measured with the Dietary Instrument for Nutrition Education questionnaire), objectively measured physical activity measured by accelerometry [GENEActiv (Activinsights, Kimbolton, UK)], biomedical measures, adverse events, patient-reported outcome measures and a health economic assessment. RESULTS The trial recruited 414 participants (intervention arm: 208 participants; usual care: 206 participants) between 10 March 2015 and 31 March 2016. A total of 341 participants (81.6%) completed the trial. A total of 412 participants were analysed. After 12 months, weight change did not differ between the groups (mean difference 0.0 kg, 95% confidence interval -1.59 to 1.67 kg; p = 0.964); physical activity, dietary intake and biochemical measures were unchanged. Glycated haemoglobin, fasting glucose and lipid profile were unchanged by the intervention. Quality of life, psychiatric symptoms and illness perception did not change during the trial. There were three deaths, but none was related to the intervention. Most adverse events were expected and related to the psychiatric illness. The process evaluation showed that the intervention was acceptable, with participants valuing the opportunity to interact with others facing similar challenges. Session feedback indicated that 87.2% of participants agreed that the sessions had met their needs. Some indicated the desire for more ongoing support. Professionals felt that the intervention was under-resourced and questioned the long-term sustainability within current NHS settings. Professionals would have preferred greater access to participants' behaviour data to tailor the intervention better. The incremental cost-effectiveness ratio from the health-care perspective is £246,921 per quality-adjusted life-year (QALY) gained and the incremental cost-effectiveness ratio from the societal perspective is £367,543 per QALY gained. CONCLUSIONS Despite the challenges of undertaking clinical research in this population, the trial successfully recruited and retained participants, indicating a high level of interest in weight management interventions; however, the STEPWISE intervention was neither clinically effective nor cost-effective. Further research will be required to define how overweight and obesity in people with schizophrenia should be managed. The trial results suggest that lifestyle programmes for people with schizophrenia may need greater resourcing than for other populations, and interventions that have been shown to be effective in other populations, such as people with diabetes mellitus, are not necessarily effective in people with schizophrenia. TRIAL REGISTRATION Current Controlled Trials ISRCTN19447796. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 22, No. 65. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Richard Ig Holt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK.,University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Daniel Hind
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | | | | | - David Saxon
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Paul McCrone
- King's Health Economics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Tiyi A Morris
- King's Health Economics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - David Shiers
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.,School of Health Sciences, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
| | - Katharine Barnard
- Faculty of Health & Social Sciences, Bournemouth University, Poole, UK
| | - Lizzie Swaby
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | | | - Marian E Carey
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | - Yvonne Doherty
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK.,Psychological Medicine, York Teaching Hospital NHS Foundation Trust, York, UK
| | - Paul French
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Kathryn E Greenwood
- Sussex Partnership NHS Foundation Trust, Worthing, UK.,School of Psychology, University of Sussex, Brighton, UK
| | - Sridevi Kalidindi
- Rehabilitation and Recovery, South London and Maudsley NHS Foundation Trust, London, UK
| | - Kamlesh Khunti
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - Richard Laugharne
- Research and Innovation, Cornwall Partnership NHS Foundation Trust, Redruth, UK
| | | | - Shanaya Rathod
- Research and Development, Southern Health NHS Foundation Trust, Southampton, UK
| | - Najma Siddiqi
- Department of Health Sciences, Hull York Medical School, University of York, York, UK.,Bradford District Care NHS Foundation Trust, Bradford, UK
| | - Stephen Wright
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Glenn Waller
- Sheffield Health & Social Care NHS Foundation Trust, Sheffield, UK.,Department of Psychology, University of Sheffield, Sheffield, UK
| | - Fiona Gaughran
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,National Psychosis Unit and Research and Development Department, South London and Maudsley NHS Foundation Trust, London, UK
| | - Janette Barnett
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - Alison Northern
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
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Citrome L, McEvoy JP, Todtenkopf MS, McDonnell D, Weiden PJ. A commentary on the efficacy of olanzapine for the treatment of schizophrenia: the past, present, and future. Neuropsychiatr Dis Treat 2019; 15:2559-2569. [PMID: 31564881 PMCID: PMC6733343 DOI: 10.2147/ndt.s209284] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 08/20/2019] [Indexed: 01/29/2023] Open
Abstract
Olanzapine is a second-generation atypical antipsychotic with proven efficacy for the treatment of schizophrenia. Approved in 1996, olanzapine is one of the most studied antipsychotics, resulting in a considerable amount of clinical data across diverse patient populations. Despite the fact that olanzapine is associated with a known risk of metabolic side effects, including weight gain, many clinicians continue to prescribe olanzapine for the treatment of schizophrenia with the expectation of additional therapeutic antipsychotic efficacy relative to other first-line atypical antipsychotics. The goal of this narrative is to revisit the role of oral olanzapine in the management of patients with schizophrenia, including those with recently diagnosed schizophrenia ("first-episode"), those with an established schizophrenia diagnosis who experience acute exacerbations, those receiving long-term antipsychotic treatment as a maintenance intervention, and those with suboptimal response to antipsychotic treatment, including treatment resistance. Collectively, data from published literature support the favorable efficacy of olanzapine compared with other first- and second-generation antipsychotics, including lower rates of treatment discontinuation and clinically meaningful improvements in the symptoms of schizophrenia. The development of antipsychotic medications with the favorable efficacy of olanzapine, but with reduced weight gain, could address a major unmet need in the treatment of schizophrenia.
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Affiliation(s)
- Leslie Citrome
- Department of Psychiatry and Behavioral Sciences, New York Medical College, Valhalla, NY, USA
| | - Joseph P McEvoy
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA, USA
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36
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Faden J, Citrome L. Resistance is not futile: treatment-refractory schizophrenia - overview, evaluation and treatment. Expert Opin Pharmacother 2018; 20:11-24. [PMID: 30407873 DOI: 10.1080/14656566.2018.1543409] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Schizophrenia is a debilitating condition with three main symptom domains: positive, negative, and cognitive. Approximately one-third of persons with schizophrenia will fail to respond to treatment. Growing evidence suggests that treatment-resistant (refractory) schizophrenia (TRS) may be a distinct condition from treatment-respondent schizophrenia. There is limited evidence on effective treatments for TRS, and a lack of standardized diagnostic criteria for TRS has hampered research. Areas covered: A literature search was conducted using Pubmed.gov and the EMBASE literature database. The authors discuss the pragmatic definitions of TRS and review treatments consisting of antipsychotic monotherapy and augmentation strategies. Expert opinion: Currently available first-line antipsychotic medications are generally effective at treating the positive symptoms of schizophrenia, leaving residual negative and cognitive symptoms. Before diagnosing TRS, rule out any pharmacodynamic or pharmacokinetic failures. Most evidence supports clozapine as having the most efficacy for TRS. If clozapine is used, it should be optimized, and serum levels should be at least 350-420 ng/ml. If clozapine is unable to be tolerated, some evidence suggests olanzapine at dosages up to 40mg/day can be useful. Augmentation strategies have weak evidence. Tailoring treatment to the specific domain is the preferred approach, and the use of a structured assessment/outcome measure is encouraged.
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Affiliation(s)
- Justin Faden
- a Psychiatry , Lewis Katz School of Medicine at Temple University , Philadelphia , PA , USA
| | - Leslie Citrome
- b Psychiatry & Behavioral Sciences , New York Medical College , Valhalla , NY , USA
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37
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Duncan LE, Shen H, Ballon JS, Hardy KV, Noordsy DL, Levinson DF. Genetic Correlation Profile of Schizophrenia Mirrors Epidemiological Results and Suggests Link Between Polygenic and Rare Variant (22q11.2) Cases of Schizophrenia. Schizophr Bull 2018; 44:1350-1361. [PMID: 29294133 PMCID: PMC6192473 DOI: 10.1093/schbul/sbx174] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
New methods in genetics research, such as linkage disequilibrium score regression (LDSR), quantify overlap in the common genetic variants that influence diverse phenotypes. It is becoming clear that genetic effects often cut across traditional diagnostic boundaries. Here, we introduce genetic correlation analysis (using LDSR) to a nongeneticist audience and report transdisciplinary discoveries about schizophrenia. This analytical study design used publically available genome wide association study (GWAS) data from approximately 1.5 million individuals. Genetic correlations between schizophrenia and 172 medical, psychiatric, personality, and metabolomic phenotypes were calculated using LDSR, as implemented in LDHub in order to identify known and new genetic correlations. Consistent with previous research, the strongest genetic correlation was with bipolar disorder. Positive genetic correlations were also found between schizophrenia and all other psychiatric phenotypes tested, the personality traits of neuroticism and openness to experience, and cigarette smoking. Novel results were found with medical phenotypes: schizophrenia was negatively genetically correlated with serum citrate, positively correlated with inflammatory bowel disease, and negatively correlated with BMI, hip, and waist circumference. The serum citrate finding provides a potential link between rare cases of schizophrenia (strongly influenced by 22q11.2 deletions) and more typical cases of schizophrenia (with polygenic influences). Overall, these genetic correlation findings match epidemiological findings, suggesting that common variant genetic effects are part of the scaffolding underlying phenotypic comorbidity. The "genetic correlation profile" is a succinct report of shared genetic effects, is easily updated with new information (eg, from future GWAS), and should become part of basic disease knowledge about schizophrenia.
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Affiliation(s)
- Laramie E Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA,To whom correspondence should be addressed; tel: 650-723-3258, fax: 650-723-4655, e-mail:
| | - Hanyang Shen
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Jacob S Ballon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Kate V Hardy
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Douglas L Noordsy
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
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38
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Silverman BL, Martin W, Memisoglu A, DiPetrillo L, Correll CU, Kane JM. A randomized, double-blind, placebo-controlled proof of concept study to evaluate samidorphan in the prevention of olanzapine-induced weight gain in healthy volunteers. Schizophr Res 2018; 195:245-251. [PMID: 29158012 DOI: 10.1016/j.schres.2017.10.014] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 10/09/2017] [Accepted: 10/09/2017] [Indexed: 12/22/2022]
Abstract
Antipsychotic medications are associated with weight gain and adverse metabolic effects that complicate the treatment and management of schizophrenia. Olanzapine (OLZ) in particular is associated with significant weight gain and adverse metabolic effects. The present Phase 1, proof of concept, multicenter, randomized, double-blind, placebo-controlled study investigated the safety and effect on weight of a combination of OLZ (10mg) and the opioid modulator samidorphan (SAM; 5mg) in comparison to OLZ alone in healthy, male normal weight volunteers. Altogether, 106 male subjects with stable body weight and BMI 18-25kg/m2 were randomized to OLZ alone, OLZ+SAM, SAM alone, or placebo in a 2:2:1:1 ratio. The primary efficacy endpoint, mean (SD) body weight change from baseline to last assessment in the 3-week treatment period, was significantly less for OLZ+SAM vs. OLZ alone subjects [+2.2 (1.4) kg vs. +3.1 (1.9) kg; respectively; p=0.02]. In contrast, there was no significant difference in weight from baseline for either SAM or placebo [+0.1 (1.0) kg and +0.8 (1.4) kg, respectively]; p=0.09. Overall, OLZ+SAM compared to OLZ alone had similar safety and tolerability. In addition, less nausea was observed in subjects given OLZ+SAM compared to SAM alone. Thus, OLZ+SAM may offer effective treatment of schizophrenia with less weight gain and metabolic risk. Additional research exploring additional doses over longer durations in psychiatric populations is warranted.
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Affiliation(s)
| | | | | | | | - Christoph U Correll
- Hofstra Northwell School of Medicine, Hempstead, NY, United States; The Zucker Hillside Hospital, Psychiatry, Glen Oaks, NY, United States
| | - John M Kane
- Hofstra Northwell School of Medicine, Hempstead, NY, United States; The Zucker Hillside Hospital, Psychiatry, Glen Oaks, NY, United States
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39
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Lin CH, Lin SC, Huang YH, Wang FC, Huang CJ. Early prediction of olanzapine-induced weight gain for schizophrenia patients. Psychiatry Res 2018; 263:207-211. [PMID: 29574355 DOI: 10.1016/j.psychres.2018.02.058] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 12/24/2017] [Accepted: 02/28/2018] [Indexed: 01/19/2023]
Abstract
The aim of this study was to determine whether weight changes at week 2 or other factors predicted weight gain at week 6 for schizophrenia patients receiving olanzapine. This study was the secondary analysis of a six-week trial for 94 patients receiving olanzapine (5 mg/d) plus trifluoperazine (5 mg/d), or olanzapine (10 mg/d) alone. Patients were included in analysis only if they had completed the 6-week trial (per protocol analysis). Weight gain was defined as a 7% or greater increase of the patient's baseline weight. The receiver operating characteristic curve was employed to determine the optimal cutoff points of statistically significant predictors. Eleven of the 67 patients completing the 6-week trial were classified as weight gainers. Weight change at week 2 was the statistically significant predictor for ultimate weight gain at week 6. A weight change of 1.0 kg at week 2 appeared to be the optimal cutoff point, with a sensitivity of 0.92, a specificity of 0.75, and an AUC of 0.85. Using weight change at week 2 to predict weight gain at week 6 is favorable in terms of both specificity and sensitivity. Weight change of 1.0 kg or more at 2 weeks is a reliable predictor.
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Affiliation(s)
- Ching-Hua Lin
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Shih-Chi Lin
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
| | - Yu-Hui Huang
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
| | - Fu-Chiang Wang
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
| | - Chun-Jen Huang
- Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan.
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40
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Huang XF, Weston-Green K, Yu Y. Decreased 5-HT2cR and GHSR1a interaction in antipsychotic drug-induced obesity. Obes Rev 2018; 19:396-405. [PMID: 29119689 DOI: 10.1111/obr.12638] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 09/20/2017] [Accepted: 10/01/2017] [Indexed: 12/19/2022]
Abstract
Second generation antipsychotics (SGAs), notably atypical antipsychotics including olanzapine, clozapine and risperidone, can cause weight gain and obesity side effects. Antagonism of serotonin 2c receptors (5-HT2cR) and activation of ghrelin receptor type 1a (GHSR1a) signalling have been identified as a main cause of SGA induced obesity. Here we review the pivotal regulatory role of the 5-HT2cR in ghrelin-mediated appetite signalling. The 5-HT2cR dimerizes with GHSR1a to inhibit orexigenic signalling, while 5-HT2cR antagonism reduces dimerization and increases GHSR1a-induced food intake. Dimerization is specific to the unedited 5-HT2cR isoform. 5-HT2cR antagonism by SGAs may disrupt the normal inhibitory tone on the GHSR1a, increasing orexigenic signalling. The 5-HT2cR and its interaction with the GHSR1a could serve as the basis for discovering novel approaches to preventing and treating SGA-induced obesity.
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Affiliation(s)
- X-F Huang
- School of Medicine, University of Wollongong and Illawarra Health and Medical Research Institute, NSW, Australia.,Jiangsu Key Laboratory for Immunity and Metabolism, Xuzhou Medical University, Jiangsu, China.,Centre for Medical and Molecular Biosciences, Faculty of Science, Medicine and Health, University of Wollongong, NSW, Australia
| | - K Weston-Green
- School of Medicine, University of Wollongong and Illawarra Health and Medical Research Institute, NSW, Australia.,Centre for Medical and Molecular Biosciences, Faculty of Science, Medicine and Health, University of Wollongong, NSW, Australia
| | - Y Yu
- School of Medicine, University of Wollongong and Illawarra Health and Medical Research Institute, NSW, Australia.,Jiangsu Key Laboratory for Immunity and Metabolism, Xuzhou Medical University, Jiangsu, China
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41
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AGUIAR-BLOEMER AC, AGLIUSSI RG, PINHO TMP, FURTADO EF, DIEZ-GARCIA RW. Eating behavior of schizophrenic patients. REV NUTR 2018. [DOI: 10.1590/1678-98652018000100002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
ABSTRACT Objective To assess the eating behavior, food practices, nutritional and metabolic profiles of patients with schizophrenia undergoing treatment. Methods Cross-sectional exploratory descriptive qualitative study used a semi-structured questionnaire on the eating behavior, food practices, and perception of changes after the initiation of drug therapy and a quantitative method using anthropometric and body composition measurements, metabolic parameters, and 5-day dietary records to analyze nutrient ingestion of patients with schizophrenia in an outpatient clinic at a tertiary hospital (n=33). The qualitative data were analyzed and coded by three researchers and quantitative data were analyzed using descriptive exploratory statistics. Results The results of this study showed that schizophrenic patients presented high prevalence of excess weight (71.0%), metabolic syndrome (42.0%), dyslipidemia (62.0%), changes in appetite (76.0%), and increase in energy intake (74.2%), associated with important irregularities in eating behavior and food practices (such as irregularity of meals, emotional intake, high carbohydrate and fat intake, and low energy expenditure) and lifestyle (changes in social and work routines). Conclusion This eating profile may interact synergistically with psychotropic drugs to contribute to weight gain and metabolic changes in schizophrenia. Nutrition education may prevent and monitor the risk of metabolic and nutrition problems, irrespective of the medications used.
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Buoli M, Serati M, Altamura AC. Biological aspects and candidate biomarkers for rapid-cycling in bipolar disorder: A systematic review. Psychiatry Res 2017; 258:565-575. [PMID: 28864122 DOI: 10.1016/j.psychres.2017.08.059] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 07/24/2017] [Accepted: 08/23/2017] [Indexed: 01/23/2023]
Abstract
Rapid-cycling bipolar disorder represents a frequent severe subtype of illness which has been associated with poor response to pharmacological treatment. Aim of the present article is to provide an updated review of biological markers associated with rapid-cycling bipolar disorder. A research in the main database sources has been conducted to identify relevant papers about the topic. Rapid-cycling bipolar disorder patients seem to have a more frequent family history for bipolar spectrum disorders (d range: 0.44-0.74) as well as an increased susceptibility to DNA damage or mRNA hypo-transcription (d range: 0.78-1.67) than non rapid-cycling ones. A susceptibility to hypothyroidism, which is exacerbated by treatment with lithium, is possible in rapid-cycling bipolar disorder, but further studies are needed to draw definitive conclusions. Rapid-cycling bipolar patients might have more insuline resistance as well as more severe brain changes in frontal areas (d range: 0.82-0.94) than non rapid-cycling ones. Many questions are still open about this topic. The first is whether the rapid-cycling is inheritable or is more generally the manifestation of a severe form of bipolar disorder. The second is whether some endocrine dysfunctions (diabetes and hypothyroidism) predispose to rapid-cycling or rapid-cycling is the consequence of drug treatment or medical comorbidities (e.g. obesity).
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Affiliation(s)
- Massimiliano Buoli
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122 Milan, Italy.
| | - Marta Serati
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122 Milan, Italy
| | - A Carlo Altamura
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122 Milan, Italy
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43
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Pharmacological Approaches to Minimizing Cardiometabolic Side Effects of Mood Stabilizing Medications. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/s40501-017-0131-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Chang HH, Chen PS, Wang TY, Lee SY, Chen SL, Huang SY, Hong JS, Yang YK, Lu RB. Effect of memantine on C-reactive protein and lipid profiles in bipolar disorder. J Affect Disord 2017; 221. [PMID: 28646711 PMCID: PMC7241092 DOI: 10.1016/j.jad.2017.05.052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Balance in the immune system plays roles in bipolar disorder (BD) and its metabolic co-morbidities. Memantine is an NMDA receptor antagonist with anti-inflammatory effects. However, the effects of memantine adjunct treatment on metabolic status of BD are unclear. METHODS During the 12 weeks period, a total of 191 BD patients were enrolled and split into valproate (VPA) + placebo and VPA + memantine (5mg/day) arms. The fasting plasma levels of high-sensitivity C-reactive protein (CRP) and metabolic indices were assessed. BD patients were stratified according to their initial CRP level. RESULTS A cut-off value of initial CRP level of 2322ng/mL discriminated the waist circumference in these BD patients after 12-week VPA treatment. In the high CRP (> 2322ng/mL) group, patients in the VPA + memantine arm had a significantly decreased in their CRP (p= 0.009), total cholesterol (p= 0.002), LDL (p= 0.002) levels, BMI (p= 0.001), and waist circumference (p< 0.001), compared to those in the VPA + placebo arm. However, analysis of the low CRP group did not showed the effect. LIMITATIONS We recruited BD patients in depressed states and the sample size was relative small. The effects of the fixed dose of memantine on metabolic indices were 12-week follow up in BD patients treated with VPA. CONCLUSIONS BD patients with high initial CRP levels receiving memantine adjunct treatment have a reduced risk of inflammation and metabolic imbalance. Prospective studies are needed to confirm the long-term outcome for memantine adjunct therapy in BD patients.
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Affiliation(s)
- Hui Hua Chang
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan,School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Po See Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Addiction Research Center, National Cheng Kung University, Tainan, Taiwan.
| | - Tzu-Yun Wang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan,Addiction Research Center, National Cheng Kung University, Tainan, Taiwan
| | - Sheng-Yu Lee
- Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Shiou-Lan Chen
- Department of Neurology, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - San-Yuan Huang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Jau-Shyong Hong
- Laboratory of Pharmacology and Chemistry, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Yen Kuang Yang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan,Addiction Research Center, National Cheng Kung University, Tainan, Taiwan,Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan,Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ru-Band Lu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan,Addiction Research Center, National Cheng Kung University, Tainan, Taiwan
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45
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Citrome L. Long-acting injectable antipsychotics update: lengthening the dosing interval and expanding the diagnostic indications. Expert Rev Neurother 2017; 17:1029-1043. [DOI: 10.1080/14737175.2017.1371014] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Leslie Citrome
- Department of Psychiatry & Behavioral Sciences, New York Medical College, Valhalla, NY, USA
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Freyberg Z, Aslanoglou D, Shah R, Ballon JS. Intrinsic and Antipsychotic Drug-Induced Metabolic Dysfunction in Schizophrenia. Front Neurosci 2017; 11:432. [PMID: 28804444 PMCID: PMC5532378 DOI: 10.3389/fnins.2017.00432] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 07/13/2017] [Indexed: 12/12/2022] Open
Abstract
For decades, there have been observations demonstrating significant metabolic disturbances in people with schizophrenia including clinically relevant weight gain, hypertension, and disturbances in glucose and lipid homeostasis. Many of these findings pre-date the use of antipsychotic drugs (APDs) which on their own are also strongly associated with metabolic side effects. The combination of APD-induced metabolic changes and common adverse environmental factors associated with schizophrenia have made it difficult to determine the specific contributions of each to the overall metabolic picture. Data from drug-naïve patients, both from the pre-APD era and more recently, suggest that there may be an intrinsic metabolic risk associated with schizophrenia. Nevertheless, these findings remain controversial due to significant clinical variability in both psychiatric and metabolic symptoms throughout patients' disease courses. Here, we provide an extensive review of classic and more recent literature describing the metabolic phenotype associated with schizophrenia. We also suggest potential mechanistic links between signaling pathways associated with schizophrenia and metabolic dysfunction. We propose that, beyond its symptomatology in the central nervous system, schizophrenia is also characterized by pathophysiology in other organ systems directly related to metabolic control.
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Affiliation(s)
- Zachary Freyberg
- Department of Psychiatry, University of PittsburghPittsburgh, PA, United States
- Department of Cell Biology, University of PittsburghPittsburgh, PA, United States
| | - Despoina Aslanoglou
- Department of Psychiatry, University of PittsburghPittsburgh, PA, United States
| | - Ripal Shah
- Department of Psychiatry and Behavioral Sciences, Stanford UniversityStanford, CA, United States
| | - Jacob S. Ballon
- Department of Psychiatry and Behavioral Sciences, Stanford UniversityStanford, CA, United States
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Fjukstad KK, Engum A, Lydersen S, Dieset I, Steen NE, Andreassen OA, Spigset O. Metabolic risk factors in schizophrenia and bipolar disorder: The effect of comedication with selective serotonin reuptake inhibitors and antipsychotics. Eur Psychiatry 2017; 48:71-78. [PMID: 29331603 DOI: 10.1016/j.eurpsy.2017.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 03/30/2017] [Accepted: 04/01/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The aim of this observational study was to investigate the relationship between metabolic factors and use of selective serotonin reuptake inhibitors (SSRIs) combined with olanzapine, quetiapine or risperidone. METHODS Data from the Norwegian Thematically Organized Psychosis study, a cross-sectional study on 1301 patients with schizophrenia (n=868) or bipolar disorder (n=433), were analyzed. As exposure variables in the linear regression model were included the dose or serum concentration of SSRIs (n=280) and of olanzapine (n=398), quetiapine (n=234) or risperidone (n=128). The main outcome variables were levels of total cholesterol, low and high density lipoprotein (LDL and HDL) cholesterol, triglycerides and glucose. RESULTS One defined daily dose (DDD) per day of an SSRI in addition to olanzapine was associated with an increase in total cholesterol of 0.16 (CI 0.01 to 0.32) mmol/L (P=0.042) and an increase in LDL-cholesterol of 0.17 (CI 0.02 to 0.31) mmol/L (P=0.022). An SSRI serum concentration in the middle of the reference interval in addition to quetiapine was associated with an increase in total cholesterol of 0.39 (CI 0.10 to 0.68) mmol/L (P=0.011) and an increase in LDL-cholesterol of 0.29 (0.02 to 0.56) mmol/L (P=0.037). There were no such effects when combined with risperidone. CONCLUSIONS The findings indicate only minor deteriorations of metabolic variables associated with treatment with an SSRI in addition to olanzapine and quetiapine, and none when combined with risperidone. These results suggest that SSRIs can be used in combination with antipsychotics, and that the possible increase in cardiovascular risk is negligible.
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Affiliation(s)
- K K Fjukstad
- Department of Psychiatry, Nord-Trøndelag Hospital Trust, Levanger Hospital, Norway; Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway.
| | - A Engum
- Department of Psychiatry, St. Olav University Hospital, Trondheim, Norway
| | - S Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare - Central Norway, Trondheim, Norway
| | - I Dieset
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - N Eiel Steen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Drammen District Psychiatric Center, Clinic of Mental Health and Addiction, Vestre Viken Hospital Trust, Drammen, Norway
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - O Spigset
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway; Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway
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The Relationship between Body Weight Change and Body Constitutions of Traditional Chinese Medicine in Patients with Schizophrenia. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2016; 2016:9585968. [PMID: 27818703 PMCID: PMC5081436 DOI: 10.1155/2016/9585968] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 06/16/2016] [Accepted: 09/21/2016] [Indexed: 01/09/2023]
Abstract
Objective. To explore the relationship between body constitution (BC) types and weight change in patients with schizophrenia and who underwent second-generation antipsychotics (SGAs) treatment. Method. Body weight and waist circumference of eighty-five participants were measured for 6 consecutive weeks. Constitutions of Yin-Xu, Yang-Xu, and Stasis were assessed using the Body Constitution Questionnaire (BCQ). Results. Participants with body constitutions Yin-Xu (50.6%), Yang-Xu (49.4%), or Stasis (38.8%) exhibited worse physical condition and unhealthy daily habits, particularly in Stasis constitution. Moreover, Stasis constitution was significantly associated with several factors, including BMI, body weight, waist circumference, perception of stress, perception of health, staying up late, and less physical exercise. However, perception of stress showed significant difference in Yin-Xu, Yang-Xu, and Stasis. Generalized estimating equation (GEE) analysis revealed that significant time effects in body weight increase in the imbalanced BC types and gentleness BC type. SGAs induced weight gain in imbalanced BC type as well as gentleness BC type, especially treated with olanzapine. Conclusions. This is the first study to explore the longitudinal relationship between BC and weight gain in schizophrenia patients undergoing SGAs treatment. Health care providers should focus on weight gain problems in schizophrenia patients who underwent SGAs treatment.
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Gossage-Worrall R, Holt RIG, Barnard K, E Carey M, J Davies M, Dickens C, Doherty Y, Edwardson C, French P, Gaughran F, Greenwood K, Kalidindi S, Hind D, Khunti K, McCrone P, Mitchell J, Pendlebury J, Rathod S, Shiers D, Siddiqi N, Swaby L, Wright S. STEPWISE - STructured lifestyle Education for People WIth SchizophrEnia: a study protocol for a randomised controlled trial. Trials 2016; 17:475. [PMID: 27681572 PMCID: PMC5041320 DOI: 10.1186/s13063-016-1572-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 08/25/2016] [Indexed: 11/10/2022] Open
Abstract
Background People with schizophrenia are two to three times more likely to be overweight than the general population. The UK National Institute of Health and Care Excellence (NICE) recommends an annual physical health review with signposting to, or provision of, a lifestyle programme to address weight concerns and obesity. The purpose of this randomised controlled trial is to assess whether a group-based structured education programme can help people with schizophrenia to lose weight. Methods Design: a randomised controlled trial of a group-based structured education programme. Setting: 10 UK community mental health trusts. Participants: 396 adults with schizophrenia, schizoaffective, or first-episode psychosis who are prescribed antipsychotic medication will be recruited. Participants will be overweight, obese or be concerned about their weight. Intervention: participants will be randomised to either the intervention or treatment as usual (TAU). The intervention arm will receive TAU plus four 2.5-h weekly sessions of theory-based lifestyle structured group education, with maintenance contact every 2 weeks and ‘booster’ sessions every 3 months. All participants will receive standardised written information about healthy eating, physical activity, alcohol and smoking. Outcomes: the primary outcome is weight (kg) change at 1 year post randomisation. Secondary outcomes, which will be assessed at 3 and 12 months, include: the proportion of participants who maintained or reduced their weight; waist circumference; body mass index; objectively measured physical activity (wrist accelerometer); self-reported diet; blood pressure; fasting plasma glucose, lipid profile and HbA1c (baseline and 1 year only); health-related quality of life (EQ-5D-5L and RAND SF-36); (adapted) brief illness perception questionnaire; the Brief Psychiatric Rating Scale; the Client Service Receipt Inventory; medication use; smoking status; adverse events; depression symptoms (Patient Health Questionnaire-9); use of weight-loss programmes; and session feedback (intervention only). Outcome assessors will be blind to trial group allocation. Qualitative interviews with a subsample of facilitators and invention-arm participants will provide data on intervention feasibility and acceptability. Assessment of intervention fidelity will also be performed. Discussion The STEPWISE trial will provide evidence for the clinical and cost-effectiveness of a tailored intervention, which, if successful, could be implemented rapidly in the NHS. Trial registration ISRCTN19447796, registered on 20 March 2014. Electronic supplementary material The online version of this article (doi:10.1186/s13063-016-1572-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Richard I G Holt
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, SO16 6YD, UK
| | - Katharine Barnard
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, SO16 6YD, UK
| | - Marian E Carey
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK.,University Hospitals of Leicester NHS Foundation Trust, Leicester, UK
| | - Chris Dickens
- University of Exeter Medical School and NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) for the South West Peninsula, Exeter, UK
| | - Yvonne Doherty
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Paul French
- Greater Manchester West NHS Foundation Trust, Manchester, UK
| | - Fiona Gaughran
- South London and Maudsley NHS Foundation Trust, London, UK.,Kings College London, London, UK
| | - Kathryn Greenwood
- R&D, Sussex Partnership NHS Foundation Trust; and, School of Psychology, University of Sussex, Brighton, UK
| | | | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | - Jonathan Mitchell
- Sheffield Health and Social Care NHS Foundation Trust, Sheffield, UK
| | - John Pendlebury
- Greater Manchester West NHS Foundation Trust, Manchester, UK
| | | | - David Shiers
- Carer; former GP, North Staffordshire; Honorary Reader in the Division of Psychology and Mental Health at the University of Manchester, Manchester, UK
| | | | | | - Stephen Wright
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
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Role of olanzapine in chemotherapy-induced nausea and vomiting on platinum-based chemotherapy patients: a randomized controlled study. Support Care Cancer 2016; 25:145-154. [PMID: 27591991 DOI: 10.1007/s00520-016-3386-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 08/17/2016] [Indexed: 10/21/2022]
Abstract
PURPOSE Even with the use of modern antiemetic drugs, chemotherapy-induced nausea and vomiting (CINV) is still a cause of great distress to the patients. Olanzapine, primarily marketed as an antipsychotic, was found to reduce nausea and vomiting in some chemotherapy patients. But it was never tested in Indian population with a diverse genetic background. The present study aims to evaluate the role of olanzapine in CINV in patients receiving platinum-based chemotherapy. METHODS The study was a randomized, controlled, assessor-blinded study on 100 chemotherapy-naïve consenting patients receiving any one from cisplatin, carboplatin or oxaliplatin. The control group (n = 50) received palonosetron and dexamethasone in the approved therapeutic dose from the day 1 of chemotherapy. The test group (n = 50) received additional olanzapine 10 mg/day from day 1 for five consecutive days. CINV and quality of life (QoL) were assessed. RESULTS Vomiting was significantly less among the olanzapine-treated patients. Control of delayed emesis was significantly better in this group (complete response among 96 vs. 42 % in the control group, p value <0.0001). Incidence and severity of nausea was significantly less in this group. Failure of anti-CINV measure was 4 % in this group compared to 26 % of the patients of the control group during overall days 1-5. Though sedation was more in these olanzapine-treated patients, there was no dose-limiting adverse event. Quality of life was also better among the olanzapine-treated patients. CONCLUSION Olanzapine was found to be effective as add-on in the control of CINV.
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