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      A comparison of the metabolic side-effects of the second-generation antipsychotic drugs risperidone and paliperidone in animal models

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          Abstract

          Background

          The second generation antipsychotic drugs represent the most common form of pharmacotherapy for schizophrenia disorders. It is now well established that most of the second generation drugs cause metabolic side-effects. Risperidone and its active metabolite paliperidone (9-hydroxyrisperidone) are two commonly used antipsychotic drugs with moderate metabolic liability. However, there is a dearth of preclinical data that directly compares the metabolic effects of these two drugs, using sophisticated experimental procedures. The goal of the present study was to compare metabolic effects for each drug versus control animals.

          Methods

          Adult female rats were acutely treated with either risperidone (0.1, 0.5, 1, 2, 6 mg/kg), paliperidone (0.1, 0.5, 1, 2, 6 mg/kg) or vehicle and subjected to the glucose tolerance test; plasma was collected to measure insulin levels to measure insulin resistance with HOMA-IR. Separate groups of rats were treated with either risperidone (1, 6 mg/kg), paliperidone (1, 6 mg/kg) or vehicle, and subjected to the hyperinsulinemic euglycemic clamp.

          Results

          Fasting glucose levels were increased by all but the lowest dose of risperidone, but only with the highest dose of paliperidone. HOMA-IR increased for both drugs with all but the lowest dose, while the three highest doses decreased glucose tolerance for both drugs. Risperidone and paliperidone both exhibited dose-dependent decreases in the glucose infusion rate in the clamp, reflecting pronounced insulin resistance.

          Conclusions

          In preclinical models, both risperidone and paliperidone exhibited notable metabolic side-effects that were dose-dependent. Differences between the two were modest, and most notable as effects on fasting glucose.

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          Most cited references96

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          Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: a multiple-treatments meta-analysis.

          The question of which antipsychotic drug should be preferred for the treatment of schizophrenia is controversial, and conventional pairwise meta-analyses cannot provide a hierarchy based on the randomised evidence. We aimed to integrate the available evidence to create hierarchies of the comparative efficacy, risk of all-cause discontinuation, and major side-effects of antipsychotic drugs. We did a Bayesian-framework, multiple-treatments meta-analysis (which uses both direct and indirect comparisons) of randomised controlled trials to compare 15 antipsychotic drugs and placebo in the acute treatment of schizophrenia. We searched the Cochrane Schizophrenia Group's specialised register, Medline, Embase, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov for reports published up to Sept 1, 2012. Search results were supplemented by reports from the US Food and Drug Administration website and by data requested from pharmaceutical companies. Blinded, randomised controlled trials of patients with schizophrenia or related disorders were eligible. We excluded trials done in patients with predominant negative symptoms, concomitant medical illness, or treatment resistance, and those done in stable patients. Data for seven outcomes were independently extracted by two reviewers. The primary outcome was efficacy, as measured by mean overall change in symptoms. We also examined all-cause discontinuation, weight gain, extrapyramidal side-effects, prolactin increase, QTc prolongation, and sedation. We identified 212 suitable trials, with data for 43 049 participants. All drugs were significantly more effective than placebo. The standardised mean differences with 95% credible intervals were: clozapine 0·88, 0·73-1·03; amisulpride 0·66, 0·53-0·78; olanzapine 0·59, 0·53-0·65; risperidone 0·56, 0·50-0·63; paliperidone 0·50, 0·39-0·60; zotepine 0·49, 0·31-0·66; haloperidol 0·45, 0·39-0·51; quetiapine 0·44, 0·35-0·52; aripiprazole 0·43, 0·34-0·52; sertindole 0·39, 0·26-0·52; ziprasidone 0·39, 0·30-0·49; chlorpromazine 0·38, 0·23-0·54; asenapine 0·38, 0·25-0·51; lurasidone 0·33, 0·21-0·45; and iloperidone 0·33, 0·22-0·43. Odds ratios compared with placebo for all-cause discontinuation ranged from 0·43 for the best drug (amisulpride) to 0·80 for the worst drug (haloperidol); for extrapyramidal side-effects 0·30 (clozapine) to 4·76 (haloperidol); and for sedation 1·42 (amisulpride) to 8·82 (clozapine). Standardised mean differences compared with placebo for weight gain varied from -0·09 for the best drug (haloperidol) to -0·74 for the worst drug (olanzapine), for prolactin increase 0·22 (aripiprazole) to -1·30 (paliperidone), and for QTc prolongation 0·10 (lurasidone) to -0·90 (sertindole). Efficacy outcomes did not change substantially after removal of placebo or haloperidol groups, or when dose, percentage of withdrawals, extent of blinding, pharmaceutical industry sponsorship, study duration, chronicity, and year of publication were accounted for in meta-regressions and sensitivity analyses. Antipsychotics differed substantially in side-effects, and small but robust differences were seen in efficacy. Our findings challenge the straightforward classification of antipsychotics into first-generation and second-generation groupings. Rather, hierarchies in the different domains should help clinicians to adapt the choice of antipsychotic drug to the needs of individual patients. These findings should be considered by mental health policy makers and in the revision of clinical practice guidelines. None. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Metabolic and cardiovascular adverse effects associated with antipsychotic drugs.

            Antipsychotic medications can induce cardiovascular and metabolic abnormalities (such as obesity, hyperglycemia, dyslipidemia and the metabolic syndrome) that are associated with an increased risk of type 2 diabetes mellitus and cardiovascular disease. Controversy remains about the contribution of individual antipsychotic drugs to this increased risk and whether they cause sudden cardiac death through prolongation of the corrected QT interval. Although some drug receptor-binding affinities correlate with specific cardiovascular and metabolic abnormalities, the exact pharmacological mechanisms underlying these associations remain unclear. Antipsychotic agents with prominent metabolic adverse effects might cause abnormalities in glucose and lipid metabolism via both obesity-related and obesity-unrelated molecular mechanisms. Despite existing guidelines and recommendations, many antipsychotic-drug-treated patients are not assessed for even the most easily measurable metabolic and cardiac risk factors, such as obesity and blood pressure. Subsequently, concerns have been raised over the use of these medications, especially pronounced in vulnerable pediatric patients, among whom their use has increased markedly in the past decade and seems to have especially orexigenic effects. This Review outlines the metabolic and cardiovascular risks of various antipsychotic medications in adults and children, defines the disparities in health care and finally makes recommendations for screening and monitoring of patients taking these agents.
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              Atypical antipsychotic-induced metabolic side effects: insights from receptor-binding profiles.

              Atypical antipsychotic drugs offer several notable benefits over typical antipsychotics, including greater improvement in negative symptoms, cognitive function, prevention of deterioration, and quality of life, and fewer extrapyramidal symptoms (EPS). However, concerns about EPS have been replaced by concerns about other side effects, such as weight gain, glucose dysregulation and dyslipidemia. These side effects are associated with potential long-term cardiovascular health risks, decreased medication adherence, and may eventually lead to clinical deterioration. Despite a greater understanding of the biochemical effects of these drugs in recent years, the pharmacological mechanisms underlying their various therapeutic properties and related side effects remain unclear. Besides dopamine D(2) receptor antagonism, a characteristic feature of all atypical antipsychotic drugs, these agents also bind to a range of non-dopaminergic targets, including serotonin, glutamate, histamine, alpha-adrenergic and muscarinic receptors. This review examines the potential contribution of different receptors to metabolic side effects associated with atypical antipsychotic treatment for all seven agents currently marketed in the United States (risperidone, olanzapine, quetiapine, ziprasidone, aripiprazole, paliperidone and clozapine) and another agent (bifeprunox) in clinical development at the time of this publication.
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                Author and article information

                Contributors
                Role: Data curationRole: InvestigationRole: Project administrationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: VisualizationRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 January 2021
                2021
                : 16
                : 1
                : e0246211
                Affiliations
                [1 ] Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, Canada
                [2 ] Department of Psychiatry, University of British Columbia, Vancouver, Canada
                [3 ] British Columbia Mental Health & Addictions Research Institute, Vancouver, Canada
                Wayne State University, UNITED STATES
                Author notes

                Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: WGH has received consulting fees or sat on paid advisory boards for Otsuka/Lundbeck, Newron, AlphaSights, Guidepoint, Translational Life Sciences and holds shares in Translational Life Sciences and Eli Lilly. He was additionally supported by the Jack Bell Chair in Schizophrenia. RMP has been a member of the following advisory boards in the past 3 years: Janssen, Lundbeck, and Otsuka; a member of the following speaker’s bureaus in the past 3 years: Janssen, Lundbeck, and Otsuka; and received grants from the Canadian Institutes of Health Research. All other authors declare that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                https://orcid.org/0000-0002-7628-5108
                https://orcid.org/0000-0002-3407-1574
                Article
                PONE-D-20-35813
                10.1371/journal.pone.0246211
                7842964
                33508013
                3b6edbc0-6a2d-48b0-833e-b656723251f4
                © 2021 Boyda et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 November 2020
                : 14 January 2021
                Page count
                Figures: 3, Tables: 1, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award Recipient :
                Funded by: British Columbia Provincial Health Services Authority
                Award Recipient :
                Funded by: Jack Bell Chair in Schizophrenia
                Award Recipient :
                This work was supported by a Natural Sciences and Engineering Research Council of Canada grant to AMB, and a British Columbia Provincial Health Services Authority grant to AMB and RMP. WGH was supported by the Jack Bell Chair in Schizophrenia.
                Categories
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