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Jang JH, Jeong SH. Pharmacokinetic Prediction of Immediate- and Extended-Release Tablets for Patients with Liver Disease Using Whole Body Physiologically-Based Pharmacokinetic Modeling for the Antipsychotic Drug Quetiapine. AAPS PharmSciTech 2024; 26:8. [PMID: 39638977 DOI: 10.1208/s12249-024-02995-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Accepted: 11/04/2024] [Indexed: 12/07/2024] Open
Abstract
Although quetiapine metabolism occurs extensively in the liver and careful dosing is recommended in patients with liver disease, there has been a paucity of pharmacometric studies to adjust the clinical dose of quetiapine according to liver-disease severity. This study aimed to establish a whole-body, physiologically-based pharmacokinetic (WB-PBPK) model to explain interindividual variability in quetiapine PK and quantitatively predict PK in patients with liver disease. The developed WB-PBPK model well described the PK characteristics of different quetiapine regimens in healthy populations. The PK predictions could also be applied to patients with schizophrenia (without significant differences from healthy subjects). For the same total dose of quetiapine, both immediate-release (IR) and extended-release (ER) tablets showed significantly increased exposure and decreased clearance in patients with liver disease compared to healthy subjects. The model showed that steady-state plasma quetiapine concentrations exceeded the usual therapeutic range after multiple doses of IR tablets 250 mg three times daily or ER tablets 800 mg once daily in patients with liver disease. Therefore, the doses of quetiapine IR or ER tablets could be reduced by 0.10-0.50 times depending on liver-disease severity, so that mean steady-state plasma concentrations could be positioned near the therapeutic range. WB-PBPK modeling for quetiapine enabled quantitative prediction of PK according to IR or ER formulation and liver-disease severity. The results of this study provide useful data for improving the therapeutic use of quetiapine by enabling dose selection based on formulation and liver-disease severity.
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Affiliation(s)
- Ji-Hun Jang
- College of Pharmacy, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea
| | - Seung-Hyun Jeong
- College of Pharmacy, Sunchon National University, 255 Jungang-ro, Suncheon-si, 57922, Jeollanam-do, Republic of Korea.
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon-si, 57922, Republic of Korea.
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Chen KH, Wang TY, Lee CP, Yang YH, McIntyre RS, Subramaniapillai M, Lee Y, Chen VCH. Association between selective serotonin reuptake inhibitor and risk of peripheral artery disease in diabetes mellitus: Propensity score matching and landmark analysis. Medicine (Baltimore) 2022; 101:e29202. [PMID: 35550469 PMCID: PMC9276100 DOI: 10.1097/md.0000000000029202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 01/17/2023] Open
Abstract
An increasing number of studies have demonstrated the bidirectional hemostatic effect of selective serotonin reuptake inhibitors (SSRIs) on the risk of cerebrovascular and cardiovascular diseases. However, no previous study has focused on the relationship between SSRI and the risk of peripheral artery disease (PAD) in diabetes mellitus (DM). We sought to evaluate the association between SSRIs and the PAD risk in individuals with DM.We conducted a retrospective, population-based cohort study using data from the Longitudinal Health Insurance Database from 1999 to 2010 in Taiwan. A total of 5049 DM patients were included and divided into 2 groups: DM with SSRI users and DM with SSRI non-users. Propensity score matching and 1-year landmark analysis were used for our study design. Stratified Cox proportional hazard regressions were used to analyze the hazard ratio of the PAD risk in certain subgroups.DM with SSRI users did not affect the PAD risk compared to DM with SSRI non-users. These findings were consistent with all sensitivity analyses (i.e., age, sex, SSRI doses, antithrombotic medication use, and medical and psychiatric comorbidities).In this study, we found that there was no significant difference of PAD risk between DM with SSRI users and DM with SSRI non-users. DM with SSRI user did not affect PAD risk across any SSRI dose, age, sex, antithrombotic medications, and multiple comorbidities in the subgroup analysis.
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Affiliation(s)
- Kai-Hua Chen
- Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chiayi, Taiwan
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Education, National Chung Cheng University, Taiwan
| | - Ting-Yao Wang
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Hematology and Oncology, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Chuan-Pin Lee
- Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Yao-Hsu Yang
- Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi, Taiwan
- Department of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Chiayi, Taiwan
- School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Roger S. McIntyre
- Mood Disorders Psychopharmacology Unit, Poul Hansen Depression Centre, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mehala Subramaniapillai
- Mood Disorders Psychopharmacology Unit, Poul Hansen Depression Centre, University Health Network, Toronto, ON, Canada
| | - Yena Lee
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Vincent Chin-Hung Chen
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Psychiatry, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan
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Mohammad Sadeghi H, Adeli I, Mousavi T, Daniali M, Nikfar S, Abdollahi M. Drug Repurposing for the Management of Depression: Where Do We Stand Currently? Life (Basel) 2021; 11:774. [PMID: 34440518 PMCID: PMC8398872 DOI: 10.3390/life11080774] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/22/2022] Open
Abstract
A slow rate of new drug discovery and higher costs of new drug development attracted the attention of scientists and physicians for the repurposing and repositioning of old medications. Experimental studies and off-label use of drugs have helped drive data for further studies of approving these medications. A deeper understanding of the pathogenesis of depression encourages novel discoveries through drug repurposing and drug repositioning to treat depression. In addition to reducing neurotransmitters like epinephrine and serotonin, other mechanisms such as inflammation, insufficient blood supply, and neurotoxicants are now considered as the possible involved mechanisms. Considering the mentioned mechanisms has resulted in repurposed medications to treat treatment-resistant depression (TRD) as alternative approaches. This review aims to discuss the available treatments and their progress way during repositioning. Neurotransmitters' antagonists, atypical antipsychotics, and CNS stimulants have been studied for the repurposing aims. However, they need proper studies in terms of formulation, matching with regulatory standards, and efficacy.
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Affiliation(s)
- Hosna Mohammad Sadeghi
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran; (H.M.S.); (I.A.); (T.M.); (M.D.)
| | - Ida Adeli
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran; (H.M.S.); (I.A.); (T.M.); (M.D.)
| | - Taraneh Mousavi
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran; (H.M.S.); (I.A.); (T.M.); (M.D.)
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran 1417614411, Iran
| | - Marzieh Daniali
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran; (H.M.S.); (I.A.); (T.M.); (M.D.)
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran 1417614411, Iran
| | - Shekoufeh Nikfar
- Personalized Medicine Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran 1417614411, Iran;
- Pharmaceutical Sciences Research Center (PSRC) and the Pharmaceutical Management and Economics Research Center (PMERC), Evidence-Based Evaluation of Cost-Effectiveness and Clinical Outcomes Group, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran
- Department of Pharmacoeconomics and Pharmaceutical Administration, School of Pharmacy, Tehran University of Medical Sciences, Tehran 1417614411, Iran
| | - Mohammad Abdollahi
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran 1417614411, Iran; (H.M.S.); (I.A.); (T.M.); (M.D.)
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran 1417614411, Iran
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Zhao Y, Wen SW, Li M, Sun Z, Yuan X, Retnakaran R, Zhang R, Zhai D. Dose-response association of acute-phase quetiapine treatment with risk of new-onset hypothyroidism in schizophrenia patients. Br J Clin Pharmacol 2021; 87:4823-4830. [PMID: 34046922 DOI: 10.1111/bcp.14928] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 04/30/2021] [Accepted: 05/17/2021] [Indexed: 11/29/2022] Open
Abstract
AIMS To assess association between quetiapine treatment and risk of new-onset hypothyroidism in schizophrenia patients. METHODS We conducted a retrospective cohort study in a tertiary hospital in China between January 2016 and December 2018. Schizophrenia patients with normal thyroid tests at admission were included. Hypothyroidism, which was defined as thyroid-stimulating hormone >4.20 mU/L and free thyroxine <12.00 pmol/L, or on L-thyroxine prescriptions, was the outcome measure, and quetiapine treatment between admission and subsequent thyroid test was the exposure measure of this study. Adjusted relative risks and 95% confidence intervals were used to assess the independent association of quetiapine treatment with risk of new-onset hypothyroidism. The dose-response association was further analysed by 3 quetiapine doses: low (≤<=0.2 g/d), medium (0.2-0.6 g/d), and high (>0.6 g/d). RESULTS A total of 2022 eligible patients were included in the final analysis. Sixty patients (15.0%) in the quetiapine group developed hypothyroidism, while 56 patients (3.5%) in the nonquetiapine group developed hypothyroidism. Relative risk (95% confidence interval) of developing hypothyroidism for quetiapine use was 4.01 (2.86-5.64) after adjusting for several potential confounding factors. A strong dose-response association between quetiapine use and risk of developing hypothyroidism was observed: adjusted relative risks (95% confidence intervals) were 1.00 (0.25-2.59), 4.22 (2.80-6.25) and 5.62 (3.66-8.38), respectively, for low-, medium- and high-dose quetiapine, as compared with no quetiapine. CONCLUSION Acute phase quetiapine treatment for schizophrenia patients was strongly associated with increased risk of developing new-onset hypothyroidism, with a clear dose-response association.
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Affiliation(s)
- Ying Zhao
- The Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, 453002, China.,School of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China.,Xinxiang Key Laboratory of Clinical psychopharmacology, Xinxiang, 453003, China
| | - Shi Wu Wen
- OMNI Research Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.,School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, Canada.,Department of Obstetrics, Gynecology, and Newborn Care, University of Ottawa Faculty of Medicine, Ottawa, Canada
| | - Mengzhe Li
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Zhongyu Sun
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Xiang Yuan
- The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, Luoyang, 471003, China
| | - Ravi Retnakaran
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Canada.,Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Ruiling Zhang
- The Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, 453002, China
| | - Desheng Zhai
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
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