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Lin C, Zhang S, Yang P, Zhang B, Guo W, Wu R, Liu Y, Wang J, Wu H, Cai H. Combination of UGT1A1 polymorphism and baseline plasma bilirubin levels in predicting the risk of antipsychotic-induced dyslipidemia in schizophrenia patients. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:52. [PMID: 38760414 PMCID: PMC11101411 DOI: 10.1038/s41537-024-00473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
The prolonged usage of atypical antipsychotic drugs (AAPD) among individuals with schizophrenia often leads to metabolic side effects such as dyslipidemia. These effects not only limit one's selection of AAPD but also significantly reduce compliance and quality of life of patients. Recent studies suggest that bilirubin plays a crucial role in maintaining lipid homeostasis and may be a potential pre-treatment biomarker for individuals with dyslipidemia. The present study included 644 schizophrenia patients from two centers. Demographic and clinical characteristics were collected at baseline and 4 weeks after admission to investigate the correlation between metabolites, episodes, usage of AAPDs, and occurrence of dyslipidemia. Besides, we explored the combined predictive value of genotypes and baseline bilirubin for dyslipidemia by employing multiple PCR targeted capture techniques to sequence two pathways: bilirubin metabolism-related genes and lipid metabolism-related genes. Our results indicated that there existed a negative correlation between the changes in bilirubin levels and triglyceride (TG) levels in patients with schizophrenia. Among three types of bilirubin, direct bilirubin in the baseline (DBIL-bl) proved to be the most effective in predicting dyslipidemia in the ROC analysis (AUC = 0.627, p < 0.001). Furthermore, the odds ratio from multinomial logistic regression analysis showed that UGT1A1*6 was a protective factor for dyslipidemia (ß = -12.868, p < 0.001). The combination of baseline DBIL and UGT1A1*6 significantly improved the performance in predicting dyslipidemia (AUC = 0.939, p < 0.001). Schizophrenia patients with UGT1A1*6 mutation and a certain level of baseline bilirubin may be more resistant to dyslipidemia and have more selections for AAPD than other patients.
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Affiliation(s)
- Chenquan Lin
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Shuangyang Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ping Yang
- Department of Psychiatry, Hunan Brain Hospital, Changsha, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital of 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, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yong Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jianjian Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Haishan Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of 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, Hunan, China.
- National Clinical Research Center on Mental Disorders, Changsha, China.
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Barliana MI, Ramdini DA, Afifah NN, Alfian SD, Sumiwi SA. Investigating the Effect of Adherence to Antipsychotic Therapy on the Length of Stay and Number of Hospitalizations in Patients with Schizophrenia - A Descriptive Analysis. Patient Prefer Adherence 2023; 17:2737-2747. [PMID: 37936717 PMCID: PMC10625877 DOI: 10.2147/ppa.s430083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023] Open
Abstract
Background Optimizing long-term outcomes in schizophrenia treatment requires effective pharmacological interventions. Medication adherence is known to influence clinical outcomes, yet there is a scarcity of studies examining its correlation with factors like Length of Stay (LOS) and re-hospitalization frequency. These outcomes are crucial indicators of how medication adherence affects overall patient well-being. Purpose This study aims to describe the effect of medication adherence on the length of stay (LOS) and number of hospitalizations in patients with schizophrenia. Patients and Methods A total of 157 subjects from the West Java Psychiatric Hospital were included in this cross-sectional retrospective study. Data, including demographics, comorbidities, duration of illness, antipsychotic adherence, LOS, and the number of hospitalizations, were collected from the patients' medical records. All the data were analyzed using the Chi-Square (χ²) test with a significance level set at p < 0.05. Results Our findings showed that 88% of all schizophrenia inpatients were in the nonadherence group. The highest (40.7%) LOS (>30 days) was found in the non-adherence group with discontinued therapy/stopped therapy group, while the highest percentage of patients with less than five hospitalizations was identified in the obedient and regular therapy group (94.4%). In the statistical results, we observed a significant association between therapy adherence (p = 0.043) and therapy regimen (p = 0.014) with gender. Additionally, the distinction between male and female schizophrenia patients demonstrated statistical significance (p = 0.000). Conclusion In this study, therapy adherence and therapy regimen were found to have a significant association with gender, as well as differences between the number of male and female schizophrenia patients that were statistically significant. While other variables may exhibit clinical associations, their statistical significance has not been fully depicted. The results of this study could be preliminary study for subsequent observational studies.
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Affiliation(s)
- Melisa Intan Barliana
- Department of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Dwi Aulia Ramdini
- Department of Pharmacy, Faculty of Medicine, Universitas Lampung, Bandar Lampung, Indonesia
| | - Nadiya Nurul Afifah
- Department of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Sofa Dewi Alfian
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
- Department of Pharmacology and Clinical Pharmacy Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Sri Adi Sumiwi
- Department of Pharmacology and Clinical Pharmacy Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
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Metabolic Hormones in Schizophrenia Patients with Antipsychotic-Induced Metabolic Syndrome. J Pers Med 2022; 12:jpm12101655. [PMID: 36294794 PMCID: PMC9604670 DOI: 10.3390/jpm12101655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/02/2022] [Accepted: 10/03/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolic syndrome (MetS) is a common complication of schizophrenia that is quite exacerbated by long-term use of (atypical) antipsychotics. The mechanism of MetS has neuronal, neuroendocrine, and neuroimmunological components and shows some overlap with those of aspects of schizophrenia. We examined 195 patients with schizophrenia (90 with and 105 without MetS) for the association of serum levels of ghrelin, insulin, and leptin with metabolic abnormalities. Serum glucose levels and lipid profiles were routinely measured with colorimetric enzymatic methods and hormone levels with multiplex analyzers. Leptin levels were highly significantly increased (p < 0.001) in people with MetS (9.966 [5.882; 21.496] vs. 6.35 [2.005; 11.753], Me [Q1; Q3]) and ghrelin levels were actually significantly decreased (p = 0.045). Insulin levels did not differ significantly between those with and without MetS (p = 0.162). In Spearman’s correlation analysis between the hormone levels, body characteristics, and biochemical parameters, significant correlations were seen somewhat more often in people without MetS than in those with MetS and also less often for ghrelin than for the other hormones. We conclude that evidence exists for a role in the development of MetS especially for leptin, but that less is supporting a role for ghrelin.
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The Gender-Specific Association of DRD2 Polymorphism with Metabolic Syndrome in Patients with Schizophrenia. Genes (Basel) 2022; 13:genes13081312. [PMID: 35893053 PMCID: PMC9331510 DOI: 10.3390/genes13081312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Metabolic syndrome is widespread in patients with schizophrenia receiving long-term antipsychotic therapy. Dopamine D2 receptors play an important role in mediating both the therapeutic actions of antipsychotics and their side effects. The present study examined the association of two polymorphisms of the DRD2 gene with metabolic syndrome in patients with schizophrenia. Methods: We examined 517 patients from several regions of Siberia (Russia) with a clinical diagnosis of schizophrenia. Genotyping of two single nucleotide polymorphisms rs1799732 and rs4436578 of the dopamine D2 receptor gene (DRD2) was performed in a population of 471 patients. The results were analyzed using chi-square tests. Results: Functional polymorphism rs1799732 of the DRD2 gene is associated with drug-induced metabolic syndrome in women with schizophrenia. Conclusions: Our results show that the DRD2 gene may be involved in the pathogenesis of metabolic disorders in patients with schizophrenia. Further analysis of possible genetic markers will allow for personalized treatment with minimal side effects and optimal efficacy. This which seems relevant in light of the recent focus on improving the quality of life and ensuring a high level of social adaptation of patients with schizophrenia.
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Boiko AS, Pozhidaev IV, Paderina DZ, Mednova IA, Goncharova AA, Fedorenko OY, Kornetova EG, Semke AV, Bokhan NA, Loonen AJM, Ivanova SA. Gene Polymorphisms of Hormonal Regulators of Metabolism in Patients with Schizophrenia with Metabolic Syndrome. Genes (Basel) 2022; 13:genes13050844. [PMID: 35627229 PMCID: PMC9141866 DOI: 10.3390/genes13050844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Metabolic syndrome (MetS) is a common complication of long-term treatment of persons with schizophrenia taking (atypical) antipsychotics. In this study, we investigated the existence of an association with polymorphisms of genes for four hormones that regulate energy metabolism. Methods: We recruited 517 clinically admitted white patients (269M/248F) with a verified diagnosis of schizophrenia (ICD-10) and with a stable physical condition. Participants were classified for having or not having MetS and genotyped for 20 single-nucleotide polymorphisms (SNPs) in the genes encoding insulin-induced gene 2 (INSIG2), ghrelin (GHRL), leptin (LEP), and leptin receptor (LEPR). Results: The 139 patients (26.9%) with MetS were significantly more likely to be women, older, and ill longer, and had a larger body mass index (BMI). Four polymorphisms (rs10490624, rs17587100, rs9308762, and rs10490816) did not meet the Hardy–Weinberg equilibrium (HWE) criterion and were excluded. Only genotypes and alleles of the rs3828942 of LEP gene (chi2 = 7.665, p = 0.022; chi2 = 5.136, p = 0.023) and the genotypes of the rs17047718 of INSIG2 gene (chi2 = 7.7, p = 0.021) had a significant association with MetS. Conclusions: The results of our study suggest that the LEP and INSIG2 genes play a certain causal role in the development of MetS in patients with schizophrenia.
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Affiliation(s)
- Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Irina A. Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Anastasya A. Goncharova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Arkadiy V. Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Anton J. M. Loonen
- Unit of PharmacoTherapy, -Epidemiology, and -Economics, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University of Groningen, 9713AV Groningen, The Netherlands
- Correspondence:
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
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Vanwong N, Sukasem C, Unaharassamee W, Jiratjintana N, Na Nakorn C, Hongkaew Y, Puangpetch A. Associations of the SREBF2 Gene and INSIG2 Polymorphisms with Obesity and Dyslipidemia in Thai Psychotic Disorder Patients Treated with Risperidone. J Pers Med 2021; 11:jpm11100943. [PMID: 34683084 PMCID: PMC8541118 DOI: 10.3390/jpm11100943] [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: 08/08/2021] [Revised: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Patients with psychotic disorders who receive atypical antipsychotic drugs often develop metabolic abnormalities. The sterol regulatory element-binding factor 2 (SREBF2) gene and insulin-induced gene (INSIG) have important roles in lipid metabolism. A previous study indicated that risperidone stimulated both lipogenesis and cholesterogenesis through activation of SREBP2 expression and inhibition of INSIG2. The SREBF2 gene and INSIG2 polymorphisms have been reported to be associated with metabolic abnormalities. Objective: To investigate the association of the SREBF2 gene (rs1052717, rs2267439, and rs2267443) and INSIG2 (rs7566605, rs11123469, and rs17587100) polymorphisms and the presence of obesity and dyslipidemia in Thai psychotic disorder patients treated with risperidone. Methods: All 113 psychiatric patients using risperidone were evaluated for their lipid profile and screened for obesity criteria. We genotyped the SREBF2 gene and INSIG2 polymorphisms using TaqMan real-time polymerase chain reaction. Results: None of the studied SREBF2 gene and INSIG2 SNPs were associated with obesity in Thai psychotic disorder patients receiving risperidone. Nonetheless, the SREBF2 rs2267443 (G/A) A-allele carriers were at a higher risk for hypertriglyceridemia, whereas the INSIG2 rs11123469 (T/C) C-allele carriers had a lower risk for hypertriglyceridemia, after being adjusted for clinical characteristics using multiple logistic regression. Conclusions: Our findings suggest that the SREBF2 gene rs2267443 (G/A) and the INSIG2 rs11123469 (T/C) polymorphisms are associated with dyslipidemia in Thai psychotic disorder patients treated with risperidone. Further studies with prospective designs and larger patient groups are needed.
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Affiliation(s)
- Natchaya Vanwong
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand;
- Cardiovascular Precision Medicine Research Group, Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok 10400, Thailand
- Pharmacogenomics and Precision Medicine, The Preventive Genomics & Family Check-Up Services Center, Bumrungrad International Hospital, Bangkok 10110, Thailand
| | - Weerapon Unaharassamee
- Department of Psychiatry, Somdet Chaopraya Institute of Psychiatry, Bangkok 10600, Thailand; (W.U.); (N.J.)
| | - Napa Jiratjintana
- Department of Psychiatry, Somdet Chaopraya Institute of Psychiatry, Bangkok 10600, Thailand; (W.U.); (N.J.)
| | - Chalitpon Na Nakorn
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Songkhla 90110, Thailand;
| | - Yaowaluck Hongkaew
- Advance Research and Development Laboratory, Bumrungrad International Hospital, Bangkok 10110, Thailand;
| | - Apichaya Puangpetch
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok 10400, Thailand
- Correspondence: ; Tel.: +66-2-200-4331; Fax: +66-2-200-4332
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Review: Influence of the CYP450 Genetic Variation on the Treatment of Psychotic Disorders. J Clin Med 2021; 10:jcm10184275. [PMID: 34575384 PMCID: PMC8464829 DOI: 10.3390/jcm10184275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/11/2021] [Accepted: 09/15/2021] [Indexed: 12/12/2022] Open
Abstract
Second-generation antipsychotic metabolism is mainly carried out by the CYP450 superfamily, which is highly polymorphic. Therefore, knowing the influence of the different known CYP450 polymorphisms on antipsychotic plasmatic levels and, consequently, the biological effect could contribute to a deeper knowledge of interindividual antipsychotic treatment variability, prompting possible solutions. Considering this, this state of the art review aimed to summarize the current knowledge about the influence of the diverse characterized phenotypes on the metabolism of the most used second-generation antipsychotics. Forty studies describing different single nucleotide polymorphisms (SNPs) associated with the genes CYP1A2, CYP2D6, CYP3A4, CYP3A5, and ABCB1 and their influence on pharmacokinetics of olanzapine, clozapine, aripiprazole, risperidone, and quetiapine. Most of the authors concluded that although significant differences in the pharmacokinetic parameters between the different phenotypes could be observed, more thorough studies describing pharmacokinetic interactions and environmental conditions, among other variables, are needed to fully comprehend these pharmacogenetic interactions.
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Association of CNR1 and INSIG2 polymorphisms with antipsychotics-induced weight gain: a prospective nested case-control study. Sci Rep 2021; 11:15304. [PMID: 34315947 PMCID: PMC8316361 DOI: 10.1038/s41598-021-94700-9] [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: 04/23/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Weight gain is a frequent and severe adverse reaction in patients taking antipsychotics. The objective was to further investigate in a natural setting influential risk factors associated with clinically significant weight gain. An observational follow-up study was conducted. Patients when initiating treatment with whatever antipsychotic were included; a structured questionnaire was applied at baseline, 3 and 6 months later; a blood sample was obtained. In a nested case-control approach, patients with an increase ≥ 7% of their initial weight were considered as cases, the remaining, as controls. The results showed that, out of 185 patients, 137 completed the 6-month follow-up (cases, 38; controls, 99). Weight gain gradually and significantly increased in cases (baseline, 65.0 kg; 6 months, 74.0 kg) but not in controls (65.6 kg and 65.8 kg, respectively). Age (adjusted OR = 0.97, 95% CI = 0.96-0.99, p = 0.004), olanzapine (adjusted OR = 2.98, 95% CI = 1.13-7.80, p = 0.027) and quetiapine (adjusted OR = 0.25, 95% = 0.07-0.92, p = 0.037) significantly associated with weight gain. An association was also found for the CNR1 (rs1049353) and INSIG2 (rs7566605) polymorphisms. In conclusion, an increased risk of antipsychotics-induced weight gain was observed for younger age and olanzapine, and a relative lower risk for quetiapine. A potential role of CNR1 rs1049353 and INSIG2 rs7566605 polymorphisms is suggested.
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Libowitz MR, Nurmi EL. The Burden of Antipsychotic-Induced Weight Gain and Metabolic Syndrome in Children. Front Psychiatry 2021; 12:623681. [PMID: 33776816 PMCID: PMC7994286 DOI: 10.3389/fpsyt.2021.623681] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/17/2021] [Indexed: 12/13/2022] Open
Abstract
Antipsychotic medications are critical to child and adolescent psychiatry, from the stabilization of psychotic disorders like schizophrenia, bipolar disorder, and psychotic depression to behavioral treatment of autism spectrum disorder, tic disorders, and pediatric aggression. While effective, these medications carry serious risk of adverse events-most commonly, weight gain and cardiometabolic abnormalities. Negative metabolic consequences affect up to 60% of patients and present a major obstacle to long-term treatment. Since antipsychotics are often chronically prescribed beginning in childhood, cardiometabolic risk accumulates. An increased susceptibility to antipsychotic-induced weight gain (AIWG) has been repeatedly documented in children, particularly rapid weight gain. Associated cardiometabolic abnormalities include central obesity, insulin resistance, dyslipidemia, and systemic inflammation. Lifestyle interventions and medications such as metformin have been proposed to reduce risk but remain limited in efficacy. Furthermore, antipsychotic medications touted to be weight-neutral in adults can cause substantial weight gain in children. A better understanding of the biological underpinnings of AIWG could inform targeted and potentially more fruitful treatments; however, little is known about the underlying mechanism. As yet, modest genetic studies have nominated a few risk genes that explain only a small percentage of the risk. Recent investigations have begun to explore novel potential mechanisms of AIWG, including a role for gut microbiota and microbial metabolites. This article reviews the problem of AIWG and AP metabolic side effects in pediatric populations, proposed mechanisms underlying this serious side effect, and strategies to mitigate adverse impact. We suggest future directions for research efforts that may advance the field and lead to improved clinical interventions.
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Affiliation(s)
| | - Erika L. Nurmi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
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Pierce SR, Fang Z, Yin Y, West L, Asher M, Hao T, Zhang X, Tucker K, Staley A, Fan Y, Sun W, Moore DT, Xu C, Tsai YH, Parker J, Prabhu VV, Allen JE, Lee D, Zhou C, Bae-Jump V. Targeting dopamine receptor D2 as a novel therapeutic strategy in endometrial cancer. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2021; 40:61. [PMID: 33557912 PMCID: PMC7869513 DOI: 10.1186/s13046-021-01842-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/13/2021] [Indexed: 01/04/2023]
Abstract
Background ONC201 is a dopamine receptor D2 (DRD2) antagonist that inhibits tumor growth in preclinical models through ClpP activation to induce integrated stress response pathway and mitochondrial events related to inhibition of cell growth, which is being explored in clinical trials for solid tumors and hematological malignancies. In this study, we investigated the anti-tumorigenic effect of ONC201 in endometrial cancer cell lines and a genetically engineered mouse model of endometrial cancer. Methods Cell proliferation was assessed by MTT and colony formation assays. Cell cycle and apoptosis were evaluated by Cellometer. Invasion capacity was tested using adhesion, transwell and wound healing assays. LKB1fl/flp53fl/fl mouse model of endometrial cancer were fed a control low fat diet versus a high fat diet to mimic diet-induced obesity. Following tumor onset, mice were treated with placebo or ONC201. Metabolomics and lipidomics were used to identify the obesity-dependent effects of ONC201 in the mouse endometrial tumors. DRD2 expression was analyzed by immunohistochemistry in human endometrioid and serous carcinoma specimens. DRD2 mRNA expression from the Cancer Genome Atlas (TCGA) database was compared between the four molecular subtypes of endometrial cancer. Results Increasing DRD2 expression in endometrial cancer was significantly associated with grade, serous histology and stage, as well as worse progression free survival and overall survival. Higher expression of DRD2 mRNA was found for the Copy Number High (CNH) subtype when compared to the other subtypes. ONC201 inhibited cell proliferation, induced cell cycle G1 arrest, caused cellular stress and apoptosis and reduced invasion in endometrial cancer cells. Diet-induced obesity promoted endometrial tumor growth while ONC201 exhibited anti-tumorigenic efficacy in the obese and lean LKB1fl/fl/p53fl/fl mice. Metabolomic analysis demonstrated that ONC201 reversed the obesity-driven upregulation of lipid biosynthesis and reduced protein biosynthesis in obese and lean mice. Conclusion ONC201 has anti-tumorigenic effects in endometrial cancer cells and a transgenic mouse model of endometrial cancer, and DRD2 expression was documented in both human serous and endometrioid endometrial cancer. These studies support DRD2 antagonism via ONC201 as a promising therapeutic strategy for endometrial cancer that has already demonstrated pharmacodynamic activity and clinical benefit in both serous and endometrioid endometrial cancer patients. Supplementary Information The online version contains supplementary material available at 10.1186/s13046-021-01842-9.
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Affiliation(s)
- Stuart R Pierce
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ziwei Fang
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yajie Yin
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Lindsay West
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Majdouline Asher
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tianran Hao
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Xin Zhang
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Katherine Tucker
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Allison Staley
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yali Fan
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenchuan Sun
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Dominic T Moore
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Chang Xu
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yi-Hsuan Tsai
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Joel Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | | | | | | | - Chunxiao Zhou
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. .,Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Victoria Bae-Jump
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. .,Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Marcos-Vadillo E, Carrascal-Laso L, Ramos-Gallego I, Gaedigk A, García-Berrocal B, Mayor-Toranzo E, Sevillano-Jiménez A, Sánchez A, Isidoro-García M, Franco-Martín M. Case Report: Pharmacogenetics Applied to Precision Psychiatry Could Explain the Outcome of a Patient With a New CYP2D6 Genotype. Front Psychiatry 2021; 12:830608. [PMID: 35281207 PMCID: PMC8915120 DOI: 10.3389/fpsyt.2021.830608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 12/30/2021] [Indexed: 11/13/2022] Open
Abstract
Precision medicine applied to psychiatry provides new insight into the promising field of precision psychiatry. Psychotic disorders are heterogeneous, complex, chronic, and severe mental disorders. Not only does the prognosis and the course of the disease vary among patients suffering from psychotic disorders, but the treatment response varies as well. Although antipsychotic drugs are the cornerstone of the treatment of schizophrenia, many patients only partially respond to these drugs. Furthermore, patients often experience adverse events which can lead to poor treatment adherence. Interindividual variability in drug response could be related to age, gender, ethnicity, lifestyle factors, pharmacological interactions, obesity, and genetics, all of which influence the process of drug metabolism. Commonly prescribed antipsychotics are metabolized by cytochrome P450 (CYP450) enzymes, and CYP450 genes are highly polymorphic. Pharmacogenetic testing is increasingly being used to predict a patient's drug response and could help to find the most appropriate therapy for an individual patient. In this report, we describe a psychotic patient who did not receive adequate clinical follow-up and subsequently presented adverse events, which could be explained by his pharmacogenetic profile and the drug interactions resulting from the polypharmacy prescribed.
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Affiliation(s)
- Elena Marcos-Vadillo
- Servicio de Bioquímica, Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca, Salamanca, Spain
| | - Lorena Carrascal-Laso
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigacion Biomedica de Salamanca, Zamora, Spain
| | - Ignacio Ramos-Gallego
- Departamento de Fisiología y Farmacología, Universidad de Salamanca, Salamanca, Spain
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, MO, United States.,Department of Pediatrics, School of Medicine, University of Missouri-Kansas City, Kansas, MO, United States
| | - Belén García-Berrocal
- Servicio de Bioquímica, Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca, Salamanca, Spain
| | - Eduardo Mayor-Toranzo
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigacion Biomedica de Salamanca, Zamora, Spain
| | - Alfonso Sevillano-Jiménez
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigacion Biomedica de Salamanca, Zamora, Spain
| | - Almudena Sánchez
- Servicio de Farmacia, Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca, Salamanca, Spain
| | - María Isidoro-García
- Servicio de Bioquímica, Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca, Salamanca, Spain.,Departamento de Medicina, Universidad de Salamanca, Salamanca, Spain
| | - Manuel Franco-Martín
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigacion Biomedica de Salamanca, Zamora, Spain
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12
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On the Role of Central Type-1 Cannabinoid Receptor Gene Regulation in Food Intake and Eating Behaviors. Int J Mol Sci 2021; 22:ijms22010398. [PMID: 33401515 PMCID: PMC7796374 DOI: 10.3390/ijms22010398] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/15/2020] [Accepted: 12/18/2020] [Indexed: 12/19/2022] Open
Abstract
Different neuromodulatory systems are involved in long-term energy balance and body weight and, among these, evidence shows that the endocannabinoid system, in particular the activation of type-1 cannabinoid receptor, plays a key role. We here review current literature focusing on the role of the gene encoding type-1 cannabinoid receptors in the CNS and on the modulation of its expression by food intake and specific eating behaviors. We point out the importance to further investigate how environmental cues might have a role in the development of obesity as well as eating disorders through the transcriptional regulation of this gene in order to prevent or to treat these pathologies.
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13
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Application of a Pharmacogenetics-Based Precision Medicine Model (5SPM) to Psychotic Patients That Presented Poor Response to Neuroleptic Therapy. J Pers Med 2020; 10:jpm10040289. [PMID: 33352925 PMCID: PMC7767089 DOI: 10.3390/jpm10040289] [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: 11/04/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 02/08/2023] Open
Abstract
Antipsychotics are the keystone of the treatment of severe and prolonged mental disorders. However, there are many risks associated with these drugs and not all patients undergo full therapeutic profit from them. The application of the 5 Step Precision Medicine model(5SPM), based on the analysis of the pharmacogenetic profile of each patient, could be a helpful tool to solve many of the problematics traditionally associated with the neuroleptic treatment. In order to solve this question, a cohort of psychotic patients that showed poor clinical evolution was analyzed. After evaluating the relationship between the prescribed treatment and pharmacogenetic profile of each patient, a great number of pharmacological interactions and pharmacogenetical conflicts were found. After reconsidering the treatment of the conflictive cases, patients showed a substantial reduction on mean daily doses and polytherapy cases, which may cause less risk of adverse effects, greater adherence, and a reduction on economic costs.
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14
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Chen CYA, Goh KK, Chen CH, Lu ML. The Role of Adiponectin in the Pathogenesis of Metabolic Disturbances in Patients With Schizophrenia. Front Psychiatry 2020; 11:605124. [PMID: 33551872 PMCID: PMC7854923 DOI: 10.3389/fpsyt.2020.605124] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/21/2020] [Indexed: 12/15/2022] Open
Abstract
Antipsychotic-induced metabolic disturbance is a common adverse event occurring in patients treated with antipsychotic drugs. The mechanisms underlying metabolic dysregulation are complex, involving various neurochemical and hormonal systems, the interaction of genetic and lifestyle risk factors, and the antipsychotic drug prescribed. Recently, there has been increasing interest in the relationship between antipsychotic-induced metabolic disturbances and body weight regulatory hormones such as adiponectin. Adiponectin, an adipocyte-derived protein related to insulin sensitivity, weight gain, and anti-inflammation, has attracted great attention because of its potential role of being a biomarker to predict cardiovascular and metabolic diseases. Previous studies regarding the effects of antipsychotics on blood adiponectin levels have shown controversial results. Several factors might contribute to those inconsistent results, including different antipsychotic drugs, duration of antipsychotic exposure, age, sex, and ethnicity. Here we summarize the existing evidence on the link between blood adiponectin levels and metabolic disturbances related to antipsychotic drugs in patients with schizophrenia. We further discuss the effects of individual antipsychotics, patients' gender, ethnicity, age, and treatment duration on those relationships. We propose that olanzapine and clozapine might have a time-dependent biphasic effect on blood adiponectin levels in patients with schizophrenia.
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Affiliation(s)
- Cynthia Yi-An Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Kah Kheng Goh
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
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