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Farache Trajano L, Hayes JF, Launders N, Davies NM, Osborn DPJ, Richards-Belle A. Co-prescription of metformin and antipsychotics in severe mental illness: a UK primary care cohort study. BMJ MENTAL HEALTH 2025; 28:e301505. [PMID: 40175159 PMCID: PMC11966999 DOI: 10.1136/bmjment-2024-301505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Accepted: 03/22/2025] [Indexed: 04/04/2025]
Abstract
BACKGROUND Metformin is a pharmacological candidate to mitigate second-generation antipsychotic (SGA)-induced weight gain in patients diagnosed with severe mental illnesses (SMI). OBJECTIVE To determine the incidence, prevalence and demographic patterns of metformin co-prescription among patients diagnosed with SMI initiating SGAs. To estimate the impact of metformin co-prescription on weight over 2 years post-SGA initiation. METHODS A cohort study of patients diagnosed with SMI initiating aripiprazole, olanzapine, quetiapine or risperidone in 2005-2019 using primary care data from Clinical Practice Research Datalink. We estimated cumulative incidence and period prevalences of co-prescription and explored prescribing differences by demographic and clinical factors. We compared weight change among patients prescribed an SGA-only versus an SGA plus metformin, accounting for confounders using linear regression. FINDINGS Among 26 537 patients initiating SGAs, 4652 were ever prescribed metformin and 21 885 were not. The two-year incidence of first metformin prescription was 3.3%. The SGA plus metformin group were more ethnically diverse, had greater social deprivation, more comorbidities and higher baseline weight (mean 90.4 vs 76.8 kg). By 2 years post-SGA initiation, mean weight in the SGA-only group had changed by +4.16% (95% CI -1.26 to +9.58) compared with -0.65% (95% CI -4.26 to +2.96) in the SGA plus metformin group. After confounder adjustment, the 2-year mean difference in weight with metformin co-prescription was -1.48 kg (95% CI -4.03 to 1.07) among females and -1.84 kg (95% CI -4.67 to 0.98) among males. CONCLUSION Metformin is infrequently co-prescribed, despite apparent efficacy and guidelines. CLINICAL IMPLICATIONS Primary and secondary care collaboration should be strengthened and barriers to co-prescribing addressed.
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Affiliation(s)
| | - Joseph F Hayes
- Division of Psychiatry, University College London, London, UK
- North London NHS Foundation Trust, London, UK
| | - Naomi Launders
- Division of Psychiatry, University College London, London, UK
| | - Neil M Davies
- Division of Psychiatry, University College London, London, UK
- Department of Statistical Science, University College London, London, UK
| | - David P J Osborn
- Division of Psychiatry, University College London, London, UK
- North London NHS Foundation Trust, London, UK
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Miedlich SU, Lamberti JS. Connecting the dots: Understanding and addressing the metabolic impact of antipsychotic and antidepressant medications. Ann N Y Acad Sci 2025; 1546:35-57. [PMID: 40072935 DOI: 10.1111/nyas.15301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Abstract
Serious mental disorders such as schizophrenia and major depression are associated with considerable morbidity and mortality, resulting in much shorter life expectancies in those affected. The discovery of antipsychotic medications ushered in improved health outcomes for people with serious mental disorders but also brought about increased morbidity due to their metabolic side effects, including obesity and diabetes mellitus. Antidepressant medications have a more favorable metabolic side effect profile, but some can still cause weight gain and hyperglycemia. In this narrative review, we discuss antipsychotic and antidepressant medications' mechanisms of action, their respective effectiveness in treating psychosis and depression, and their metabolic side effects. In addition, we present therapeutic strategies for minimizing cardiometabolic health risks in patients treated with these medications by applying a comprehensive, biopsychosocial approach.
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Affiliation(s)
- Susanne U Miedlich
- Division of Endocrinology, Department of Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - J Steven Lamberti
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA
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Goh KK, Chen CH, Lu ML. Evaluating the efficacy of metformin in reducing hyperprolactinemia among patients with schizophrenia: A meta-analysis of randomized controlled trials. J Psychopharmacol 2025:2698811251326945. [PMID: 40129099 DOI: 10.1177/02698811251326945] [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: 03/26/2025]
Abstract
BACKGROUND Antipsychotic treatment is commonly associated with hyperprolactinemia, leading to menstrual disturbances, sexual dysfunction, and decreased bone mineral density. Nearly all antipsychotic drugs can elevate prolactin levels, affecting up to 70% of patients with schizophrenia. We aim to evaluate the potential therapeutic role of metformin in reducing hyperprolactinemia among these patients. METHODS We systematically searched PubMed, CNKI, Embase, Cochrane, and Web of Science through January 31, 2024, for randomized controlled trials (RCTs) evaluating metformin's effect on prolactin levels in patients with schizophrenia. Data were extracted and synthesized using random-effects meta-analysis. RESULTS This meta-analysis included 10 RCTs with 1046 participants (584 received metformin and 462 received placebo or no treatment). Metformin significantly reduced prolactin levels compared to control groups (SMD = -0.98, 95% CI: -1.62, -0.35, p = 0.002; transformed MD = -34.88 ng/mL, 95% CI: -57.65, -12.46). Subgroup analyses indicated that higher doses (1500 mg), shorter treatment durations (<24 weeks), higher BMI (>25 kg/m²), and longer illness duration (>1 year) were associated with more significant prolactin reductions. Metformin was well tolerated with no significant increase in adverse events or all-cause discontinuation rates compared to the control group. CONCLUSION This meta-analysis suggests that metformin shows potential as a treatment for antipsychotic-induced hyperprolactinemia, with a favorable tolerability profile in patients with schizophrenia, particularly at higher doses, shorter treatment durations, higher BMI, and longer illness duration. Despite the robustness of the findings, high heterogeneity necessitates cautious interpretation. Future research should explore demographic and clinical factors influencing the response to metformin for optimizing treatment.
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Affiliation(s)
- Kah Kheng Goh
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Psychiatry, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Psychiatry, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Psychiatry, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
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Qin ZJ, Shi ZM, Li LJ, Wei X, Hu HL, Wei W, Xie ZY, Ji HX, Wei YH, Zheng W. Metformin for neurocognitive dysfunction in schizophrenia: a systematic review. Front Psychiatry 2025; 15:1540153. [PMID: 39902241 PMCID: PMC11788895 DOI: 10.3389/fpsyt.2024.1540153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Accepted: 12/24/2024] [Indexed: 02/05/2025] Open
Abstract
Background The efficacy and safety of metformin for addressing neurocognitive dysfunction in schizophrenia remain inconclusive. This systematic review evaluates the evidence from randomized controlled trials (RCTs) on the effects of metformin on neurocognitive function in patients with schizophrenia. Methods A comprehensive search of Chinese databases (WanFang, Chinese Journal Net) and English databases (PubMed, EMBASE, PsycINFO, and Cochrane Library) was conducted to identify RCTs assessing metformin's impact on neurocognitive outcomes in schizophrenia. Results Four RCTs involving 271 patients with schizophrenia were included. Three RCTs (75%) demonstrated significant improvements in neurocognitive function with metformin compared to controls, as assessed by the MATRICS Consensus Cognitive Battery, Repeatable Battery for the Assessment of Neuropsychological Status, and Mini-Mental State Examination, but not the Brief Assessment of Cognition in Schizophrenia. Two RCTs (50%) evaluated metformin's effects on total psychopathology and found no significant differences between groups. Adverse events were reported in two RCTs, with inconsistent findings on decreased appetite and diarrhea. Other adverse events and discontinuation rates were comparable between groups. Conclusion Preliminary evidence suggests that metformin may improve neurocognitive function in schizophrenia. However, further large-scale, double-blind, high quality RCTs are warranted to validate these findings.
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Affiliation(s)
- Zhen-Juan Qin
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Zhan-Ming Shi
- Department of Psychiatry, Chongqing Jiangbei Mental Health Center, Chongqing, China
| | - Li-Juan Li
- Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Xin Wei
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Hui-Lin Hu
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Wei Wei
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Zhi-Yuan Xie
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Hang-Xi Ji
- Department of Psychiatry, Chongqing Jiangbei Mental Health Center, Chongqing, China
| | - Yu-Hua Wei
- Department of Psychiatry, The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Wei Zheng
- Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Psychiatry, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China
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Strube W, Wagner E, Luykx JJ, Hasan A. A review on side effect management of second-generation antipsychotics to treat schizophrenia: a drug safety perspective. Expert Opin Drug Saf 2024; 23:715-729. [PMID: 38676922 DOI: 10.1080/14740338.2024.2348561] [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: 11/09/2023] [Accepted: 04/24/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION Effective side effects management present a challenge in antipsychotic treatment with second-generation antipsychotics (SGAs). In recent years, most of the commonly used SGAs, except for clozapine, have been shown to differ only slightly in their effectiveness, but considerably regarding perceived side effects, safety profiles, and compatibility to preexisting medical conditions. AREAS COVERED The current state of available evidence on side-effect management in SGA treatment of patients with schizophrenia spectrum disorders (SSD) is reviewed. In addition, current guideline recommendations are summarized, highlighting evidence gaps. EXPERT OPINION SGA safety and side effects needs to be considered in treatment planning. Shared decision-making assistants (SDMA) can support patients, practitioners and relatives to orient their decisions toward avoiding side effects relevant to patients' adherence. Alongside general measures like psychosocial and psychotherapeutic care, switching to better tolerated SGAs can be considered a relatively safe strategy. By contrast, novel meta-analytical evidence emphasizes that dose reduction of SGAs can statistically increase the risk of relapse and other unfavorable outcomes. Further, depending on the type and severity of SGA-related side effects, specific treatments can be used to alleviate induced side effects (e.g. add-on metformin to reduce weight-gain). Finally, discontinuation should be reserved for acute emergencies.
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Affiliation(s)
- Wolfgang Strube
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Augsburg, Augsburg, Germany
| | - Elias Wagner
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Augsburg, Augsburg, Germany
- Evidence-based psychiatry and psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jurjen J Luykx
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Outpatient second opinion clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - Alkomiet Hasan
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Augsburg, Augsburg, Germany
- DZPG (German Center for Mental Health), partner site München/Augsburg, Augsburg, Germany
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Lee J, Xue X, Au E, McIntyre WB, Asgariroozbehani R, Panganiban K, Tseng GC, Papoulias M, Smith E, Monteiro J, Shah D, Maksyutynska K, Cavalier S, Radoncic E, Prasad F, Agarwal SM, Mccullumsmith R, Freyberg Z, Logan RW, Hahn MK. Glucose dysregulation in antipsychotic-naive first-episode psychosis: in silico exploration of gene expression signatures. Transl Psychiatry 2024; 14:19. [PMID: 38199991 PMCID: PMC10781725 DOI: 10.1038/s41398-023-02716-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/10/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
Antipsychotic (AP)-naive first-episode psychosis (FEP) patients display early dysglycemia, including insulin resistance and prediabetes. Metabolic dysregulation may therefore be intrinsic to psychosis spectrum disorders (PSDs), independent of the metabolic effects of APs. However, the potential biological pathways that overlap between PSDs and dysglycemic states remain to be identified. Using meta-analytic approaches of transcriptomic datasets, we investigated whether AP-naive FEP patients share overlapping gene expression signatures with non-psychiatrically ill early dysglycemia individuals. We meta-analyzed peripheral transcriptomic datasets of AP-naive FEP patients and non-psychiatrically ill early dysglycemia subjects to identify common gene expression signatures. Common signatures underwent pathway enrichment analysis and were then used to identify potential new pharmacological compounds via Integrative Library of Integrated Network-Based Cellular Signatures (iLINCS). Our search results yielded 5 AP-naive FEP studies and 4 early dysglycemia studies which met inclusion criteria. We discovered that AP-naive FEP and non-psychiatrically ill subjects exhibiting early dysglycemia shared 221 common signatures, which were enriched for pathways related to endoplasmic reticulum stress and abnormal brain energetics. Nine FDA-approved drugs were identified as potential drug treatments, of which the antidiabetic metformin, the first-line treatment for type 2 diabetes, has evidence to attenuate metabolic dysfunction in PSDs. Taken together, our findings support shared gene expression changes and biological pathways associating PSDs with dysglycemic disorders. These data suggest that the pathobiology of PSDs overlaps and potentially contributes to dysglycemia. Finally, we find that metformin may be a potential treatment for early metabolic dysfunction intrinsic to PSDs.
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Grants
- R01 DK124219 NIDDK NIH HHS
- R01 HL150432 NHLBI NIH HHS
- R01 MH107487 NIMH NIH HHS
- R01 MH121102 NIMH NIH HHS
- Holds the Meighen Family Chair in Psychosis Prevention, the Cardy Schizophrenia Research Chair, a Danish Diabetes Academy Professorship, a Steno Diabetes Center Fellowship, and a U of T Academic Scholar Award, and is funded by operating grants from the Canadian Institutes of Health Research (CIHR), the Banting and Best Diabetes Center, the Miners Lamp U of T award, CIHR and Canadian Psychiatric Association Glenda MacQueen Memorial Award, and the PSI Foundation.
- Hilda and William Courtney Clayton Paediatric Research Fund and Dr. LG Rao/Industrial Partners Graduate Student Award from the University of Toronto, and Meighen Family Chair in Psychosis Prevention
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- UofT | Banting and Best Diabetes Centre, University of Toronto (BBDC)
- Canadian Institutes of Health Research (CIHR) Canada Graduate Scholarship-Master’s program
- Cleghorn Award
- University of Toronto (UofT)
- Centre for Addiction and Mental Health (Centre de Toxicomanie et de Santé Mentale)
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases)
- U.S. Department of Defense (United States Department of Defense)
- Commonwealth of Pennsylvania Formula Fund, The Pittsburgh Foundation
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Affiliation(s)
- Jiwon Lee
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Xiangning Xue
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emily Au
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - William B McIntyre
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Roshanak Asgariroozbehani
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Kristoffer Panganiban
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - George C Tseng
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Emily Smith
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Divia Shah
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kateryna Maksyutynska
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Samantha Cavalier
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emril Radoncic
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Femin Prasad
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert Mccullumsmith
- Department of Neurosciences, University of Toledo, Toledo, OH, USA
- ProMedica, Toledo, OH, USA
| | - Zachary Freyberg
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ryan W Logan
- Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, USA
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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Fukuyama K, Motomura E, Okada M. A Novel Gliotransmitter, L-β-Aminoisobutyric Acid, Contributes to Pathophysiology of Clinical Efficacies and Adverse Reactions of Clozapine. Biomolecules 2023; 13:1288. [PMID: 37759688 PMCID: PMC10526296 DOI: 10.3390/biom13091288] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Clozapine is listed as one of the most effective antipsychotics and has been approved for treating treatment-resistant schizophrenia (TRS); however, several type A and B adverse reactions, including weight gain, metabolic complications, cardiotoxicity, convulsions, and discontinuation syndromes, exist. The critical mechanisms of clinical efficacy for schizophrenia, TRS, and adverse reactions of clozapine have not been elucidated. Recently, the GABA isomer L-β-aminoisobutyric acid (L-BAIBA), a protective myokine in the peripheral organs, was identified as a candidate novel transmission modulator in the central nervous system (CNS). L-BAIBA activates adenosine monophosphate-activated protein kinase (AMPK) signalling in both the peripheral organs and CNS. Activated AMPK signalling in peripheral organs is an established major target for treating insulin-resistant diabetes, whereas activated AMPK signalling in the hypothalamus contributes to the pathophysiology of weight gain and metabolic disturbances. Clozapine increases L-BAIBA synthesis in the hypothalamus. In addition, the various functions of L-BAIBA in the CNS have recently been elucidated, including as an activator of GABA-B and group-III metabotropic glutamate (III-mGlu) receptors. Considering the expressions of GABA-B and III-mGlu receptors (localised in the presynaptic regions), the activation of GABA-B and III-mGlu receptors can explain the distinct therapeutic advantages of clozapine in schizophrenia or TRS associated with N-methyl-D-aspartate (NMDA) receptor disturbance compared with other atypical antipsychotics via the inhibition of the persistent tonic hyperactivation of thalamocortical glutamatergic transmission in the prefrontal cortex. L-BAIBA has also been identified as a gliotransmitter, and a detailed exploration of the function of L-BAIBA in tripartite synaptic transmission can further elucidate the pathophysiology of effectiveness for treating TRS and/or specific adverse reactions of clozapine.
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Affiliation(s)
| | | | - Motohiro Okada
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan; (K.F.); (E.M.)
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Akinola PS, Tardif I, Leclerc J. Antipsychotic-Induced Metabolic Syndrome: A Review. Metab Syndr Relat Disord 2023; 21:294-305. [PMID: 37347965 DOI: 10.1089/met.2023.0003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023] Open
Abstract
Schizophrenia, a serious psychiatric disorder, is among the top 10 global causes of disability and affects nearly 1% of the world population. Antipsychotics constitute the best treatment for patients with schizophrenia, however, this treatment class carries a high risk of metabolic syndrome, including lipid abnormalities. Indeed, the risk of metabolic syndrome would be increased in the population with schizophrenia compared to the general population. The objective is to summarize the prevalence, the mechanisms, and the potential treatments of antipsychotic-induced metabolic syndrome. This is a narrative review of the literature. We searched the electronic database Medline, accessed through PubMed, to find studies that investigated the prevalence and treatments of metabolic syndrome in the adult population using antipsychotics. The prevalence of metabolic syndrome in patients treated with antipsychotics ranges from 37% to 63%. Antipsychotic iatrogenic effects include weight gain/increased waist circumference, dyslipidemia, insulin resistance/type 2 diabetes, and hypertension. Clozapine and olanzapine are reported to precipitate the onset of metabolic syndrome features. In patients with metabolic syndrome, an antipsychotic with less metabolic side effects such as lurasidone, lumateperone, ziprasidone, and aripiprazole should be prioritized. Unlike medications, aerobic exercise and dietetic counseling were found to be efficient as the nonpharmacologic treatment of antipsychotic-induced metabolic syndrome. Few pharmacological treatments were proven effective against weight gain in this patient population. The risk of metabolic syndrome induced by antipsychotics should be early recognized and closely monitored. Primary and secondary prevention of metabolic syndrome or onset of its feature might help reduce the risk of death for patients using antipsychotics.
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Affiliation(s)
- Pelumi Samuel Akinola
- College of Pharmacy, Rady Faculty of Health sciences, University of Manitoba, Winnipeg, Canada
| | | | - Jacinthe Leclerc
- Faculté de Pharmacie, Université Laval, Québec, Canada
- Centre de Recherche, Institut Universitaire de Cardiologie de Pneumologie de Québec-Université Laval, Québec, Canada
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Fukuyama K, Motomura E, Okada M. Enhanced L-β-Aminoisobutyric Acid Is Involved in the Pathophysiology of Effectiveness for Treatment-Resistant Schizophrenia and Adverse Reactions of Clozapine. Biomolecules 2023; 13:biom13050862. [PMID: 37238731 DOI: 10.3390/biom13050862] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Clozapine is an effective antipsychotic for the treatment of antipsychotic-resistant schizophrenia; however, specific types of A/B adverse effects and clozapine-discontinuation syndromes are also well known. To date, both the critical mechanisms of clinical actions (effective for antipsychotic-resistant schizophrenia) and the adverse effects of clozapine remain to be elucidated. Recently, we demonstrated that clozapine increased the synthesis of L-β-aminoisobutyric acid (L-BAIBA) in the hypothalamus. L-BAIBA is an activator of the adenosine monophosphate-activated protein kinase (AMPK), glycine receptor, GABAA receptor, and GABAB receptor (GABAB-R). These targets of L-BAIBA overlap as potential targets other than the monoamine receptors of clozapine. However, the direct binding of clozapine to these aminoacidic transmitter/modulator receptors remains to be clarified. Therefore, to explore the contribution of increased L-BAIBA on the clinical action of clozapine, this study determined the effects of clozapine and L-BAIBA on tripartite synaptic transmission, including GABAB-R and the group-III metabotropic glutamate receptor (III-mGluR) using cultured astrocytes, as well as on the thalamocortical hyper-glutamatergic transmission induced by impaired glutamate/NMDA receptors using microdialysis. Clozapine increased astroglial L-BAIBA synthesis in time/concentration-dependent manners. Increased L-BAIBA synthesis was observed until 3 days after clozapine discontinuation. Clozapine did not directly bind III-mGluR or GABAB-R, whereas L-BAIBA activated these receptors in the astrocytes. Local administration of MK801 into the reticular thalamic nucleus (RTN) increased L-glutamate release in the medial frontal cortex (mPFC) (MK801-evoked L-glutamate release). Local administration of L-BAIBA into the mPFC suppressed MK801-evoked L-glutamate release. These actions of L-BAIBA were inhibited by antagonists of III-mGluR and GABAB-R, similar to clozapine. These in vitro and in vivo analyses suggest that increased frontal L-BAIBA signaling likely plays an important role in the pharmacological actions of clozapine, such as improving the effectiveness of treating treatment-resistant schizophrenia and several clozapine discontinuation syndromes via the activation of III-mGluR and GABAB-R in the mPFC.
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Affiliation(s)
- Kouji Fukuyama
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
| | - Eishi Motomura
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
| | - Motohiro Okada
- Department of Neuropsychiatry, Division of Neuroscience, Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
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Qubad M, Bittner RA. Second to none: rationale, timing, and clinical management of clozapine use in schizophrenia. Ther Adv Psychopharmacol 2023; 13:20451253231158152. [PMID: 36994117 PMCID: PMC10041648 DOI: 10.1177/20451253231158152] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/24/2023] [Indexed: 03/31/2023] Open
Abstract
Despite its enduring relevance as the single most effective and important evidence-based treatment for schizophrenia, underutilization of clozapine remains considerable. To a substantial degree, this is attributable to a reluctance of psychiatrists to offer clozapine due to its relatively large side-effect burden and the complexity of its use. This underscores the necessity for continued education regarding both the vital nature and the intricacies of clozapine treatment. This narrative review summarizes all clinically relevant areas of evidence, which support clozapine's wide-ranging superior efficacy - for treatment-resistant schizophrenia (TRS) and beyond - and make its safe use eminently feasible. Converging evidence indicates that TRS constitutes a distinct albeit heterogeneous subgroup of schizophrenias primarily responsive to clozapine. Most importantly, the predominantly early onset of treatment resistance and the considerable decline in response rates associated with its delayed initiation make clozapine an essential treatment option throughout the course of illness, beginning with the first psychotic episode. To maximize patients' benefits, systematic early recognition efforts based on stringent use of TRS criteria, a timely offer of clozapine, thorough side-effect screening and management as well as consistent use of therapeutic drug monitoring and established augmentation strategies for suboptimal responders are crucial. To minimize permanent all-cause discontinuation, re-challenges after neutropenia or myocarditis should be considered. Owing to clozapine's unique efficacy, comorbid conditions including substance use and most somatic disorders should not dissuade but rather encourage clinicians to consider clozapine. Moreover, treatment decisions need to be informed by the late onset of clozapine's full effects, which for reduced suicidality and mortality rates may not even be readily apparent. Overall, the singular extent of its efficacy combined with the high level of patient satisfaction continues to distinguish clozapine from all other available antipsychotics.
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Affiliation(s)
- Mishal Qubad
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Robert A. Bittner
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, D-60528 Frankfurt am Main, Germany
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany
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11
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Chen H, Cao T, Zhang B, Cai H. The regulatory effects of second-generation antipsychotics on lipid metabolism: Potential mechanisms mediated by the gut microbiota and therapeutic implications. Front Pharmacol 2023; 14:1097284. [PMID: 36762113 PMCID: PMC9905135 DOI: 10.3389/fphar.2023.1097284] [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] [Received: 11/13/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
Second-generation antipsychotics (SGAs) are the mainstay of treatment for schizophrenia and other neuropsychiatric diseases but cause a high risk of disruption to lipid metabolism, which is an intractable therapeutic challenge worldwide. Although the exact mechanisms underlying this lipid disturbance are complex, an increasing body of evidence has suggested the involvement of the gut microbiota in SGA-induced lipid dysregulation since SGA treatment may alter the abundance and composition of the intestinal microflora. The subsequent effects involve the generation of different categories of signaling molecules by gut microbes such as endogenous cannabinoids, cholesterol, short-chain fatty acids (SCFAs), bile acids (BAs), and gut hormones that regulate lipid metabolism. On the one hand, these signaling molecules can directly activate the vagus nerve or be transported into the brain to influence appetite via the gut-brain axis. On the other hand, these molecules can also regulate related lipid metabolism via peripheral signaling pathways. Interestingly, therapeutic strategies directly targeting the gut microbiota and related metabolites seem to have promising efficacy in the treatment of SGA-induced lipid disturbances. Thus, this review provides a comprehensive understanding of how SGAs can induce disturbances in lipid metabolism by altering the gut microbiota.
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Affiliation(s)
- Hui Chen
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
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12
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Godin O, Pignon B, Szoke A, Boyer L, Aouizerate B, Schorr B, André M, Capdevielle D, Chereau I, Coulon N, Dassing R, Dubertret C, Etain B, Leignier S, Llorca PM, Mallet J, Misdrahi D, Passerieux C, Rey R, Urbach M, Schürhoff F, Leboyer M, Fond G, Andre M, Andrieu-Haller C, Aouizerate B, Berna F, Blanc O, Bourguignon E, Capdevielle D, Chereau-Boudet I, Clauss-Kobayashi J, Coulon N, D'Amato T, Dassing R, Dorey JM, Dubertret C, Esselin A, Fond G, Gabayet F, Jarroir M, Lacelle D, Lançon C, Laouamri H, Leboyer M, Leignier S, Llorca, Mallet J, Metairie E, Michel T, Misdrahi D, Passerieux C, Petrucci J, Pignon B, Peri P, Portalier C, Rey R, Roman C, Schorr B, Schürhoff F, Szöke A, Tessier A, Urbach M, Wachiche G, Zinetti-Bertschy A. 3-year incidence and predictors of metabolic syndrome in schizophrenia in the national FACE-SZ cohort. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110641. [PMID: 36122839 DOI: 10.1016/j.pnpbp.2022.110641] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/26/2022] [Accepted: 09/13/2022] [Indexed: 12/01/2022]
Abstract
AIMS Metabolic Syndrome (MetS) is a major health epidemic of Western countries and patients with schizophrenia is a particularly vulnerable population due to lifestyle, mental illness and treatment factors. However, we lack prospective data to guide prevention. The aim of our study is then to determine MetS incidence and predictors in schizophrenia. METHOD Participants were recruited in 10 expert centers at a national level and followed-up for 3 years. MetS was defined according to the International Diabetes Federation criteria. Inverse probability weighting methods were used to correct for attrition bias. RESULTS Among the 512 participants followed-up for 3 years, 77.9% had at least one metabolic disturbance. 27.5% were identified with MetS at baseline and excluded from the analyses. Among the rest of participants (N = 371, mean aged 31.2 (SD = 9.1) years, with mean illness duration of 10.0 (SD = 7.6) years and 273 (73.6%) men), MetS incidence was 20.8% at 3 years and raised to 23.6% in tobacco smokers, 29.4% in participants receiving antidepressant prescription at baseline and 42.0% for those with 2 disturbed metabolic disturbances at baseline. Our multivariate analyses confirmed tobacco smoking and antidepressant consumption as independent predictors of MetS onset (adjusted odds ratios (aOR) = 3.82 [1.27-11.45], p = 0.016, and aOR = 3.50 [1.26-9.70], p = 0.0158). Antidepressant prescription predicted more specifically increased lipid disturbances and paroxetine was associated with the highest risk of MetS onset. CONCLUSION These results are an alarm call to prioritize MetS prevention and research in schizophrenia. We have listed interventions that should be actively promoted in clinical practice.
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Affiliation(s)
- O Godin
- Fondation FondaMental, Créteil, France; Université Paris-Est Créteil, INSERM U955, Département Hospitalo-Universitaire de Psychiatrie et d'Addictologie des Hôpitaux Universitaires H Mondor, AP-HP, Créteil, France
| | - B Pignon
- Fondation FondaMental, Créteil, France; Université Paris-Est Créteil, INSERM U955, Département Hospitalo-Universitaire de Psychiatrie et d'Addictologie des Hôpitaux Universitaires H Mondor, AP-HP, Créteil, France
| | - A Szoke
- Fondation FondaMental, Créteil, France; Université Paris-Est Créteil, INSERM U955, Département Hospitalo-Universitaire de Psychiatrie et d'Addictologie des Hôpitaux Universitaires H Mondor, AP-HP, Créteil, France
| | - L Boyer
- Fondation FondaMental, Créteil, France; AP-HM, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - B Aouizerate
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux F-33076, France; INRAE, NutriNeuro, University of Bordeaux, U1286, Bordeaux F-33076, France
| | - B Schorr
- Fondation FondaMental, Créteil, France; Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - M André
- Fondation FondaMental, Créteil, France; Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm, 1061, Montpellier, France
| | - D Capdevielle
- Fondation FondaMental, Créteil, France; Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm, 1061, Montpellier, France
| | - I Chereau
- Fondation FondaMental, Créteil, France; CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280 Clermont-Ferrand, France
| | - N Coulon
- Fondation FondaMental, Créteil, France; Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - R Dassing
- Fondation FondaMental, Créteil, France; Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - C Dubertret
- Fondation FondaMental, Créteil, France; Université de Paris, INSERM UMR1266, AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France
| | - B Etain
- Fondation FondaMental, Créteil, France; Assistance Publique des Hopitaux de Paris (AP-HP), GHU Saint-Louis - Lariboisiere - Fernand Widal, DMU Neurosciences, Departement de Psychiatrie et de Medecine Addictologique, INSERM UMRS 1144, Universite de Paris, Paris, France
| | - S Leignier
- Fondation FondaMental, Créteil, France; Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - P M Llorca
- Fondation FondaMental, Créteil, France; CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280 Clermont-Ferrand, France
| | - J Mallet
- Fondation FondaMental, Créteil, France; Université de Paris, INSERM UMR1266, AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France
| | - D Misdrahi
- Fondation FondaMental, Créteil, France; Department of Adult Psychiatry, Charles Perrens Hospital, Bordeaux, France; University of Bordeaux, CNRS UMR 5287-INCIA «Neuroimagerie et Cognition Humaine», France
| | - C Passerieux
- Fondation FondaMental, Créteil, France; Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team "DevPsy", Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - R Rey
- Fondation FondaMental, Créteil, France; INSERM U1028 CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - M Urbach
- Fondation FondaMental, Créteil, France; Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team "DevPsy", Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - F Schürhoff
- Fondation FondaMental, Créteil, France; Université Paris-Est Créteil, INSERM U955, Département Hospitalo-Universitaire de Psychiatrie et d'Addictologie des Hôpitaux Universitaires H Mondor, AP-HP, Créteil, France
| | - M Leboyer
- Fondation FondaMental, Créteil, France; Université Paris-Est Créteil, INSERM U955, Département Hospitalo-Universitaire de Psychiatrie et d'Addictologie des Hôpitaux Universitaires H Mondor, AP-HP, Créteil, France
| | - G Fond
- Fondation FondaMental, Créteil, France; AP-HM, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005 Marseille, France.
| | | | - M Andre
- Fondation Fondamental, France; University Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, France
| | - C Andrieu-Haller
- Fondation Fondamental, France; AP-HM, La Conception Hospital, Aix-Marseille Univ., School of Medicine - La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - B Aouizerate
- Fondation Fondamental, France; University Department of General Psychiatry), Charles Perrens Hospital, F-33076 Bordeaux, France; Laboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, Bordeaux, France
| | - F Berna
- Fondation Fondamental, France; Strasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, France
| | - O Blanc
- Fondation Fondamental, France; Clermont-Ferrand University Hospital, rue montalembert, Clermont-Ferrand Cedex 1, France
| | - E Bourguignon
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - D Capdevielle
- Fondation Fondamental, France; University Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, France
| | - I Chereau-Boudet
- Fondation Fondamental, France; Clermont-Ferrand University Hospital, rue montalembert, Clermont-Ferrand Cedex 1, France
| | - J Clauss-Kobayashi
- Fondation Fondamental, France; Strasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, France
| | - N Coulon
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France; Schizophrenia Expert Center and Psychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, France
| | - T D'Amato
- Fondation Fondamental, France; INSERM, U1028, CNRS, UMR5292; University Lyon 1, Lyon Neuroscience Research Center, PSYR2 Team, le Vinatier Hospital, Schizophrenia Expert Centre, Lyon, F-69000, France
| | - R Dassing
- Fondation Fondamental, France; Strasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, France
| | - J M Dorey
- Fondation Fondamental, France; INSERM, U1028, CNRS, UMR5292; University Lyon 1, Lyon Neuroscience Research Center, PSYR2 Team, le Vinatier Hospital, Schizophrenia Expert Centre, Lyon, F-69000, France
| | - C Dubertret
- Fondation Fondamental, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, France; Inserm UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, France; Université Paris Diderot, Sorbonne Paris Cité, Faculté de Médecine, France
| | - A Esselin
- Fondation Fondamental, France; Versailles Hospital, Department of Adult Psychiatry and Addictology, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157 Le Chesnay, France; DisAP-DevPsy-CESP, INSERM UMR1018, University of Paris-Saclay, University of Versailles Saint-Quentin-En-Yvelines 94, ,807, Villejuif, France
| | - G Fond
- Fondation Fondamental, France; AP-HM, La Conception Hospital, Aix-Marseille Univ., School of Medicine - La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - F Gabayet
- Fondation Fondamental, France; Schizophrenia Expert Center and Psychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, France
| | - M Jarroir
- Fondation Fondamental, France; Versailles Hospital, Department of Adult Psychiatry and Addictology, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157 Le Chesnay, France; DisAP-DevPsy-CESP, INSERM UMR1018, University of Paris-Saclay, University of Versailles Saint-Quentin-En-Yvelines 94, ,807, Villejuif, France
| | - D Lacelle
- Fondation Fondamental, France; Clermont-Ferrand University Hospital, rue montalembert, Clermont-Ferrand Cedex 1, France
| | - C Lançon
- Fondation Fondamental, France; Department of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, France
| | | | - M Leboyer
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - S Leignier
- Fondation Fondamental, France; Schizophrenia Expert Center and Psychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, France
| | - Llorca
- Fondation Fondamental, France; Clermont-Ferrand University Hospital, rue montalembert, Clermont-Ferrand Cedex 1, France
| | - J Mallet
- Fondation Fondamental, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, France; Inserm UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, France; Université Paris Diderot, Sorbonne Paris Cité, Faculté de Médecine, France
| | - E Metairie
- Fondation Fondamental, France; Department of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, France
| | - T Michel
- Fondation Fondamental, France; University Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, France
| | - D Misdrahi
- Fondation Fondamental, France; University Department of General Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, France; CNRS UMR 5287-INCIA, Bordeaux, France
| | - C Passerieux
- Fondation Fondamental, France; Versailles Hospital, Department of Adult Psychiatry and Addictology, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157 Le Chesnay, France; DisAP-DevPsy-CESP, INSERM UMR1018, University of Paris-Saclay, University of Versailles Saint-Quentin-En-Yvelines 94, ,807, Villejuif, France
| | - J Petrucci
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - B Pignon
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - P Peri
- Fondation Fondamental, France; Department of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, France
| | - C Portalier
- Fondation Fondamental, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, France; Inserm UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, France; Université Paris Diderot, Sorbonne Paris Cité, Faculté de Médecine, France
| | - R Rey
- Fondation Fondamental, France; INSERM, U1028, CNRS, UMR5292; University Lyon 1, Lyon Neuroscience Research Center, PSYR2 Team, le Vinatier Hospital, Schizophrenia Expert Centre, Lyon, F-69000, France
| | - C Roman
- Fondation Fondamental, France; Schizophrenia Expert Center and Psychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, France
| | - B Schorr
- Fondation Fondamental, France; Strasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, France
| | - F Schürhoff
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - A Szöke
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - A Tessier
- Fondation Fondamental, France; University Department of General Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, France; CNRS UMR 5287-INCIA, Bordeaux, France
| | - M Urbach
- Fondation Fondamental, France; Versailles Hospital, Department of Adult Psychiatry and Addictology, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157 Le Chesnay, France; DisAP-DevPsy-CESP, INSERM UMR1018, University of Paris-Saclay, University of Versailles Saint-Quentin-En-Yvelines 94, ,807, Villejuif, France
| | - G Wachiche
- Fondation Fondamental, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94, ,000 Créteil, France
| | - A Zinetti-Bertschy
- Fondation Fondamental, France; Strasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, France
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Gunther M, Dopheide JA. Antipsychotic Safety in Liver Disease: A Narrative Review and Practical Guide for the Clinician. J Acad Consult Liaison Psychiatry 2023; 64:73-82. [PMID: 36180017 DOI: 10.1016/j.jaclp.2022.09.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Clinicians treating psychiatric disorders in medically ill patients need a comprehensive resource for comparing the risk and types of liver injury associated with antipsychotic therapy. OBJECTIVE We conducted a narrative review aimed at developing a comprehensive resource comparing antipsychotics with regard to risk of inducing or worsening liver injuries, types of liver injury, associated pharmacokinetic changes, dosing, monitoring, and patient counseling recommendations. METHODS We conducted database searches of LiverTox.nih.gov, DailyMed.nlm.nih.gov, and PubMed through June of 2022. Sources describing premarketing data, observational studies, case reports and case series of antipsychotic-induced liver injuries, types of hepatic dysfunction, interventions, recovery, and treatment for 15 antipsychotics were included. Duplicate reports were excluded. Antipsychotics were graded as low, low to moderate, moderate, moderate to high, or high risk for causing or worsening a liver disease. RESULTS Of the 1861 publications, 21 papers met criteria and were included. Evidence shows antipsychotic-induced liver dysfunction is uncommon to rare. Chlorpromazine, clozapine, and olanzapine pose the greatest risk of hepatoxicity; quetiapine and risperidone pose a moderate risk with haloperidol considered to pose low to moderate risk. Paliperidone, aripiprazole, lurasidone, and loxapine are lower-risk agents with no reports of liver failure. Transaminitis that is mild and self-limiting is the most common antipsychotic-induced liver injury followed by hepatocellular disease, steatosis, and mixed liver injury. A careful risk-benefit analysis should guide the decision to discontinue the antipsychotic in cases of severe liver disease. Dose adjustments and careful monitoring are recommended for a mild to moderate disease when the benefits of treating psychosis outweigh the risks. Patients without an existing liver disease initiating a treatment with a higher-risk antipsychotic should be counseled to report symptoms of liver injuries along with regular lab monitoring. CONCLUSIONS Antipsychotic selection, dosing, monitoring, and counseling should be individualized based on whether a patient has an existing liver disease and if they are receiving an agent that poses a higher risk of liver injury. The consultation-liaison psychiatry provider can guide the primary team in management through thoughtful integration of the known pathophysiologic changes in hepatic disease and risk-benefit analysis of antipsychotic safety profiles.
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Affiliation(s)
- Matthew Gunther
- LAC+USC Medical Center, Los Angeles, CA; Keck School of Medicine, Department of Psychiatry, University of Southern California, Los Angeles, CA.
| | - Julie A Dopheide
- LAC+USC Medical Center, Los Angeles, CA; Keck School of Medicine, Department of Psychiatry, University of Southern California, Los Angeles, CA; USC School of Pharmacy, University of Southern California, Los Angeles, CA
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Lou K, Sun P, Zhang C, Jiang Q, Pang S. X-box binding protein 1: A new metabolic mediator and drug target of metformin? Front Pharmacol 2022; 13:1013218. [PMID: 36438823 PMCID: PMC9691898 DOI: 10.3389/fphar.2022.1013218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022] Open
Abstract
Accumulating evidence has demonstrated that metformin improved hypertriglyceridemia. The present study aim to investigate the molecular mechanism by which metformin improves hypertriglyceridemia via regulation of diacylglycerol O-acyltransferase 2 (DGAT2) and X-box binding protein 1 (XBP1) in the liver and whether AMP-activated protein kinase (AMPK) is involved. Mice were fed a high-fat diet (HFD) or high-fat diet with metformin for 5 weeks to evaluate the effect of metformin on triglyceride (TG) levels and expression of DGAT2 and XBP1 in the liver. In vitro HepG2 cells or XBP1 knockout AML12 hepatocytes were stimulated with metformin, palmitic acid or small interfering RNA inducing XBP1 knockdown, or dominant-negative mutant AMPK plasmid. Metformin treatment reduced hepatic TG levels in the liver of HFD-fed mice. Expression of nuclear and cytoplasmic XBP1 protein and its downstream target gene DGAT2 decreased in the liver of HFD-fed mice and HepG2 cells after metformin treatment. AMPK inactivation or overexpression of XBP1 attenuates this effect. Our preliminary results demonstrate that metformin activates AMPK to reduce TG synthesis by inhibiting the XBP1-mediated DGAT2 pathway, at least in part, suggesting that XBP1 is a new metabolic mediator for metformin treatment of hypertriglyceridemia and associated metabolic disease.
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Affiliation(s)
- Kai Lou
- Department of Endocrinology, Jinan Central Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Pei Sun
- Department of Endocrinology, Jinan Central Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Chunxue Zhang
- Department of Nuclear Medicine, Jinan Central Hospital, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Qiang Jiang
- Department of Endocrinology, Jinan Central Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shuguang Pang
- Department of Endocrinology, Jinan Central Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Shuguang Pang,
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Mc Namara KP, Alzubaidi H, Murray M, Samorinha C, Dunbar JA, Versace VL, Castle D. Should antidiabetic medicines be considered to reduce cardiometabolic risk in patients with serious mental illness? Med J Aust 2022; 217 Suppl 7:S29-S33. [PMID: 36183318 PMCID: PMC9828708 DOI: 10.5694/mja2.51701] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/22/2022] [Accepted: 07/06/2022] [Indexed: 11/05/2022]
Abstract
Substantially reduced life expectancy for people with serious mental illness compared with the general population is primarily driven by physical health issues, of which cardiovascular disease is the leading cause. In this narrative review, we examine the evidence base for use of metformin and other antidiabetic agents as a means for reducing this excess cardiometabolic disease burden. Evidence from randomised controlled trials (RCTs) suggests substantial potential for metformin to prevent or manage weight gain and glycaemic impairment induced by atypical antipsychotic medications, whereas the impact of metformin on other cardiometabolic risk factors is less consistent. Evidence from RCTs also suggests potential benefits from glucagon-like peptide-1 receptor agonists (GLP-1RAs), particularly for addressing cardiometabolic risk factors in people using atypical antipsychotic medications, but this is based on a small number of trials and remains an emerging area of research. Trials of both metformin and GLP-1RAs suggest that these medications are associated with a high prevalence of mild-moderate gastrointestinal side effects. The heterogeneous nature of participant eligibility criteria and of antipsychotic and antidiabetic drug regimens, alongside short trial durations, small numbers of participants and paucity of clinical endpoints as trial outcomes, warrants investment in definitive trials to determine clinical benefits for both metformin and GLP-1RAs. Such trials would also help to confirm the safety profile of antidiabetic agents with respect to less common but serious adverse effects. The weight of RCT evidence suggests that an indication for metformin to address antipsychotic-induced weight gain is worth considering in Australia. This would bring us into line with other countries.
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Affiliation(s)
| | - Hamzah Alzubaidi
- Deakin UniversityWarrnamboolVIC,College of PharmacyUniversity of SharjahSharjahUnited Arab Emirates,Sharjah Institute for Medical ResearchUniversity of SharjahSharjahUnited Arab Emirates
| | | | - Catarina Samorinha
- Sharjah Institute for Medical ResearchUniversity of SharjahSharjahUnited Arab Emirates
| | | | | | - David Castle
- Centre for Complex Interventions, Centre for Addiction and Mental HealthTorontoCanada
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16
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Zhuo C, Xu Y, Wang H, Zhou C, Liu J, Yu X, Shao H, Tian H, Fang T, Li Q, Chen J, Xu S, Ma X, Yang W, Yao C, Li B, Yang A, Chen Y, Huang G, Lin C. Clozapine induces metformin-resistant prediabetes/diabetes that is associated with poor clinical efficacy in patients with early treatment-resistant schizophrenia. J Affect Disord 2021; 295:163-172. [PMID: 34464878 DOI: 10.1016/j.jad.2021.08.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/10/2021] [Accepted: 08/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Two distinct subtypes of treatment-resistant schizophrenia (TRS) have been recently reported, including early-treatment resistance (E-TR) and late-treatment resistance (L-TR). This study was to assess clozapine-induced metformin-resistant prediabetes/diabetes and its correlation with clinical efficacy in schizophrenia E-TR subtype. METHODS This prospective cohort study enrolled 230 patients with schizophrenia E-TR subtype and they were treated with adequate doses of clozapine for 16 weeks, during which patients with prediabetes/diabetes were assigned to receive add-on metformin. The main outcomes and measures included incidence of clozapine-induced prediabetes/diabetes and metformin-resistant prediabetes/diabetes, and the efficacy of clozapine as assessed by the Positive and Negative Syndrome Scale (PANSS) score. RESULTS Clozapine-induced prediabetes/diabetes occurred in 76.52% of patients (170 prediabetes and 6 diabetes), of which the blood sugar of 43 (24.43%) patients was controlled with metformin. Despite add-on metformin, 47.06% (74/170) of prediabetes patients progressed to diabetes. In total, the incidence of clozapine-induced metformin-resistant prediabetes/diabetes was 75.57% (133/176). On completion of 16-week clozapine treatment, 16.52% (38/230) patients showed clinical improvement with PANSS scores of ≥50% declining. Furthermore, clozapine-induced prediabetes/diabetes was significantly correlated with the poor clinical efficacy of clozapine for schizophrenia E-TR subtype. CONCLUSIONS The incidence of clozapine-induced metformin-resistant prediabetes/diabetes was considerably high in the schizophrenia E-TR subtype. Clozapine-induced metformin-resistant prediabetes/diabetes represents an independent risk factor that adversely affects the clinical efficacy of clozapine for the schizophrenia E-TR subtype. This study provided new evidence for re-evaluating the use of clozapine for TRS, especially E-TR subtype, and the use of metformin for the glycemic control of clozapine-induced prediabetes/diabetes.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China.
| | - Yong Xu
- Department of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, 100191, China
| | - Chunhua Zhou
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jian Liu
- Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaocui Yu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Hailin Shao
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Tao Fang
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Qianchen Li
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jiayue Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Shuli Xu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaoyan Ma
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Weiliang Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Cong Yao
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Bo Li
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Anqu Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Yuhui Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Guoyong Huang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
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Interaction of clozapine with metformin in a schizophrenia rat model. Sci Rep 2021; 11:16862. [PMID: 34413440 PMCID: PMC8376983 DOI: 10.1038/s41598-021-96478-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/11/2021] [Indexed: 02/07/2023] Open
Abstract
The low efficacy of antipsychotic drugs (e.g., clozapine) for negative symptoms and cognitive impairment has led to the introduction of adjuvant therapies. Because previous data suggest the procognitive potential of the antidiabetic drug metformin, this study aimed to assess the effects of chronic clozapine and metformin oral administration (alone and in combination) on locomotor and exploratory activities and cognitive function in a reward-based test in control and a schizophrenia-like animal model (Wisket rats). As impaired dopamine D1 receptor (D1R) function might play a role in the cognitive dysfunctions observed in patients with schizophrenia, the second goal of this study was to determine the brain-region-specific D1R-mediated signaling, ligand binding, and mRNA expression. None of the treatments affected the behavior of the control animals significantly; however, the combination treatment enhanced D1R binding and activation in the cerebral cortex. The Wisket rats exhibited impaired motivation, attention, and cognitive function, as well as a lower level of cortical D1R binding, signaling, and gene expression. Clozapine caused further deterioration of the behavioral parameters, without a significant effect on the D1R system. Metformin blunted the clozapine-induced impairments, and, similarly to that observed in the control animals, increased the functional activity of D1R. This study highlights the beneficial effects of metformin (at the behavioral and cellular levels) in blunting clozapine-induced adverse effects.
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18
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Subsequent Dyslipidemia and Factors Associated with Mortality in Schizophrenia: A Population-Based Study in Taiwan. Healthcare (Basel) 2021; 9:healthcare9050545. [PMID: 34067015 PMCID: PMC8150361 DOI: 10.3390/healthcare9050545] [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: 04/08/2021] [Revised: 04/29/2021] [Accepted: 04/30/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Persons with schizophrenia are at greater risk of developing subsequent medical conditions. To date, few studies have examined comprehensively the risks, mortality and survival rates in schizophrenia and subsequent dyslipidemia over different time periods. The objective of this study was to evaluate the occurrence of subsequent dyslipidemia after the diagnosis of schizophrenia, and factors associated with mortality and survival rate in patients with schizophrenia. Methods: We used a population-based cohort from Taiwan National Health Insurance Research Database, to investigate in patients whom were first diagnosed with schizophrenia during the period from 1997 through 2009, the risk of subsequent dyslipidemia during follow-up. Cumulative incidences and hazard ratios after adjusting for competing mortality risks were calculated. Results: A total of 20,964 eligible patients were included. Risks (i.e., comorbidity) and protective factors (i.e., statin use) have significant impacts on mortality. The mortality exhibits a U-shaped pattern by age. After 50, the risk of death increases with age. Risk of mortality before 50 increases with a decrease in age. Risks differed by the duration time to subsequent dyslipidemia after schizophrenia. Mean duration was 63.55 months in the survive group, and 43.19 months in the deceased group. The 5-, 10-, and 15-year survival rates for patients with schizophrenia and subsequent dyslipidemia were 97.5, 90, and 79.18%, respectively. Conclusion: Early occurrence of subsequent dyslipidemia is associated with increased overall mortality in patients with schizophrenia.
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Ermakov EA, Dmitrieva EM, Parshukova DA, Kazantseva DV, Vasilieva AR, Smirnova LP. Oxidative Stress-Related Mechanisms in Schizophrenia Pathogenesis and New Treatment Perspectives. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:8881770. [PMID: 33552387 PMCID: PMC7847339 DOI: 10.1155/2021/8881770] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 12/15/2020] [Accepted: 01/02/2021] [Indexed: 02/07/2023]
Abstract
Schizophrenia is recognized to be a highly heterogeneous disease at various levels, from genetics to clinical manifestations and treatment sensitivity. This heterogeneity is also reflected in the variety of oxidative stress-related mechanisms contributing to the phenotypic realization and manifestation of schizophrenia. At the molecular level, these mechanisms are supposed to include genetic causes that increase the susceptibility of individuals to oxidative stress and lead to gene expression dysregulation caused by abnormal regulation of redox-sensitive transcriptional factors, noncoding RNAs, and epigenetic mechanisms favored by environmental insults. These changes form the basis of the prooxidant state and lead to altered redox signaling related to glutathione deficiency and impaired expression and function of redox-sensitive transcriptional factors (Nrf2, NF-κB, FoxO, etc.). At the cellular level, these changes lead to mitochondrial dysfunction and metabolic abnormalities that contribute to aberrant neuronal development, abnormal myelination, neurotransmitter anomalies, and dysfunction of parvalbumin-positive interneurons. Immune dysfunction also contributes to redox imbalance. At the whole-organism level, all these mechanisms ultimately contribute to the manifestation and development of schizophrenia. In this review, we consider oxidative stress-related mechanisms and new treatment perspectives associated with the correction of redox imbalance in schizophrenia. We suggest that not only antioxidants but also redox-regulated transcription factor-targeting drugs (including Nrf2 and FoxO activators or NF-κB inhibitors) have great promise in schizophrenia. But it is necessary to develop the stratification criteria of schizophrenia patients based on oxidative stress-related markers for the administration of redox-correcting treatment.
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Affiliation(s)
- Evgeny A. Ermakov
- Laboratory of Repair Enzymes, Institute of Chemical Biology and Fundamental Medicine, Siberian Division of Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - Elena M. Dmitrieva
- Laboratory of Molecular Genetics and Biochemistry, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
| | - Daria A. Parshukova
- Laboratory of Molecular Genetics and Biochemistry, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
| | | | | | - Liudmila P. Smirnova
- Laboratory of Molecular Genetics and Biochemistry, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
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Lemogne C, Blacher J, Airagnes G, Hoertel N, Czernichow S, Danchin N, Meneton P, Limosin F, Fiedorowicz JG. Management of Cardiovascular Health in People with Severe Mental Disorders. Curr Cardiol Rep 2021; 23:7. [PMID: 33409804 DOI: 10.1007/s11886-020-01436-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/18/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW To review evidence regarding the association between bipolar disorder and schizophrenia, henceforth referred to as severe mental disorders (SMD), and cardiovascular morbidity and mortality, its mechanisms, and the interventions to reduce this burden. RECENT FINDINGS Much of the loss in life expectancy in people with SMD remains driven by cardiovascular mortality. Antipsychotics and mood stabilizers are associated with negative cardio-metabolic outcomes, but large inter-individual differences are observed, and not treating SMD might be associated with even greater cardiovascular mortality. Classical modifiable cardiovascular risk factors remained inadequately screened and, once identified, too seldom treated in people with SMD. After a myocardial infarction, aggressive tertiary prevention may be as effective in people with SMD as in the general population but is less prescribed. Reduced healthcare quality and increased prevalence of cardiovascular risk factors may not fully explain the excess cardiovascular mortality associated with SMDs, which themselves should be considered risk factors in risk calculators. Hazardous health behaviors, the cardio-metabolic adverse effects of medications, and a reduced access to quality healthcare remain priority targets for intervention.
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Affiliation(s)
- Cédric Lemogne
- Université de Paris, AP-HP, Hôpital Hôtel-Dieu, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Paris, France.
| | - Jacques Blacher
- Université de Paris, AP-HP, Hôpital Hôtel-Dieu, Centre de Diagnostic et de Thérapeutique, Paris, France
| | - Guillaume Airagnes
- Université de Paris, AP-HP, Hôpital européen Georges-Pompidou, DMU Psychiatrie et Addictologie, Centre Ambulatoire d'Addictologie, INSERM, UMS 011 Cohortes Epidémiologiques en Population, Paris, France
| | - Nicolas Hoertel
- Université de Paris, AP-HP, Hôpital Corentin-Celton, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte et du sujet âgé, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Issy-les-Moulineaux, France
| | - Sébastien Czernichow
- Université de Paris, AP-HP, Hôpital européen Georges-Pompidou, Service de Nutrition, Paris, France
| | - Nicolas Danchin
- Université de Paris, AP-HP, Hôpital européen Georges-Pompidou, Service de Cardiologie, Paris, France
| | - Pierre Meneton
- INSERM U1142 LIMICS, UMRS 1142, Sorbonne Universities, UPMC University of Paris 06, University of Paris 13, Paris, France
| | - Frédéric Limosin
- Université de Paris, AP-HP, Hôpital Corentin-Celton, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte et du sujet âgé, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Issy-les-Moulineaux, France
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Perspectives in Psychopharmacology. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2021; 19:71-72. [PMID: 34483772 PMCID: PMC8412152 DOI: 10.1176/appi.focus.19106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
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Kanagasundaram P, Lee J, Prasad F, Costa-Dookhan KA, Hamel L, Gordon M, Remington G, Hahn MK, Agarwal SM. Pharmacological Interventions to Treat Antipsychotic-Induced Dyslipidemia in Schizophrenia Patients: A Systematic Review and Meta Analysis. Front Psychiatry 2021; 12:642403. [PMID: 33815174 PMCID: PMC8010007 DOI: 10.3389/fpsyt.2021.642403] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/16/2021] [Indexed: 12/23/2022] Open
Abstract
Introduction: Antipsychotic-induced dyslipidemia represents a common adverse effect faced by patients with schizophrenia that increases risk for developing further metabolic complications and cardiovascular disease. Despite its burden, antipsychotic-induced dyslipidemia is often left untreated, and the effectiveness of pharmacological interventions for mitigating dyslipidemia has not been well-addressed. This review aims to assess the effectiveness of pharmacological interventions in alleviating dyslipidemia in patients with schizophrenia. Methods: Medline, PsychInfo, and EMBASE were searched for all relevant English articles from 1950 to November 2020. Randomized placebo-controlled trials were included. Differences in changes in triglycerides, HDL cholesterol, LDL cholesterol, and VLDL cholesterol levels between treatment and placebo groups were meta-analyzed as primary outcomes. Results: Our review identified 48 randomized controlled trials that comprised a total of 3,128 patients and investigated 29 pharmacological interventions. Overall, pharmacological interventions were effective in lowering LDL cholesterol, triglycerides, and total cholesterol levels while increasing the levels of HDL cholesterol. Within the intervention subgroups, approved lipid-lowering agents did not reduce lipid parameters other than total cholesterol level, while antipsychotic switching and antipsychotic add-on interventions improved multiple lipid parameters, including triglycerides, LDL cholesterol, HDL cholesterol, and total cholesterol. Off label lipid lowering agents improved triglycerides and total cholesterol levels, with statistically significant changes seen with metformin. Conclusion: Currently available lipid lowering agents may not work as well in patients with schizophrenia who are being treated with antipsychotics. Additionally, antipsychotic switching, antipsychotic add-ons, and certain off label interventions might be more effective in improving some but not all associated lipid parameters. Future studies should explore novel interventions for effectively managing antipsychotic-induced dyslipidemia. Registration: PROSPERO 2020 CRD42020219982; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020219982.
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Affiliation(s)
- Pruntha Kanagasundaram
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Jiwon Lee
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Femin Prasad
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Kenya A Costa-Dookhan
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Laurie Hamel
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Madeleine Gordon
- Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Gary Remington
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Margaret K Hahn
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Temerty Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, Canada
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23
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Abstract
Individuals diagnosed with schizophrenia or bipolar disorder have a life expectancy 15-20 years shorter than that in the general population. The rate of unnatural deaths, such as suicide and accidents, is high for these patients. Despite this increased proportion of unnatural deaths, physical conditions account for approximately 70% of deaths in patients with either schizophrenia or bipolar disorder, with cardiovascular disease contributing 17.4% and 22.0% to the reduction in overall life expectancy in men and women, respectively. Risk factors for cardiovascular disease, such as smoking, unhealthy diet and lack of exercise, are common in these patients, and lifestyle interventions have been shown to have small effects. Pharmacological interventions to reduce risk factors for cardiovascular disease have been proven to be effective. Treatment with antipsychotic drugs is associated with reduced mortality but also with an increased risk of weight gain, dyslipidaemia and diabetes mellitus. These patients have higher risks of both myocardial infarction and stroke but a lower risk of undergoing interventional procedures compared with the general population. Data indicate a negative attitude from clinicians working outside the mental health fields towards patients with severe mental illness. Education might be a possible method to decrease the negative attitudes towards these patients, thereby improving their rates of diagnosis and treatment.
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