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Song L, Cao F, Niu S, Xu M, Liang R, Ding K, Lin Z, Yao X, Liu D. Population Pharmacokinetic/Pharmacodynamic Analysis of the Glucokinase Activator PB201 in Healthy Volunteers and Patients with Type 2 Diabetes Mellitus: Facilitating the Clinical Development of PB201 in China. Clin Pharmacokinet 2024; 63:93-108. [PMID: 37985591 DOI: 10.1007/s40262-023-01321-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 11/22/2023]
Abstract
PB201 is an orally active, partial glucokinase activator targeting both pancreatic and hepatic glucokinase. As the second glucokinase activator studied beyond phase I, PB201 has demonstrated promising glycemic effects as well as favorable pharmacokinetic (PK) and safety profiles in patients with type 2 diabetes mellitus (T2DM). This study aims to develop a population PK/pharmacodynamic (PD) model for PB201 using the pooled data from nine phase I/II clinical trials conducted in non-Chinese healthy volunteers and a T2DM population and to predict the PK/PD profile of PB201 in a Chinese T2DM population. We developed the PK/PD model using the non-linear mixed-effects modeling approach. All runs were performed using the first-order conditional estimation method with interaction. The pharmacokinetics of PB201 were well fitted by a one-compartment model with saturable absorption and linear elimination. The PD effects of PB201 on reducing the fasting plasma glucose and glycosylated hemoglobin levels in the T2DM population were described by indirect response models as stimulating the elimination of fasting plasma glucose, where the production of glycosylated hemoglobin was assumed to be stimulated by fasting plasma glucose. Covariate analyses revealed enhanced absorption of PB201 by food and decreased systemic clearance with ketoconazole co-administration, while no significant covariate was identified for the pharmacodynamics. The population PK model established for non-Chinese populations was shown to be applicable to the Chinese T2DM population as verified by the PK data from the Chinese phase I study. The final population PK/PD model predicted persistent and dose-dependent reductions in fasting plasma glucose and glycosylated hemoglobin levels in the Chinese T2DM population receiving 50/50 mg, 100/50 mg, and 100/100 mg PB201 twice daily for 24 weeks independent of co-administration of metformin. Overall, the proposed population PK/PD model quantitatively characterized the PK/PD properties of PB201 and the impact of covariates on its target populations, which allows the leveraging of extensive data in non-Chinese populations with the limited data in the Chinese T2DM population to successfully supported the waiver of the clinical phase II trial and facilitate the optimal dose regimen design of a pivotal phase III study of PB201 in China.
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Affiliation(s)
- Ling Song
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Fangrui Cao
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Shu Niu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Michael Xu
- PegBio Co., Ltd., Suzhou, Jiangsu, China
| | | | - Ke Ding
- PegBio Co., Ltd., Suzhou, Jiangsu, China
| | | | - Xueting Yao
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
| | - Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China.
- Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing, China.
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Kamimura H, Uehara S, Yoneda N, Suemizu H. Empirical scaling factor for predicting human pharmacokinetic profiles of disproportionate metabolites using the Css-MRTpo method and chimeric mice with humanised livers. Xenobiotica 2023; 53:523-535. [PMID: 37938160 DOI: 10.1080/00498254.2023.2280785] [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: 09/15/2023] [Accepted: 11/04/2023] [Indexed: 11/09/2023]
Abstract
Predicting plasma concentration-time profiles of disproportionate metabolites in humans is crucial for evaluating metabolites according to the Safety Testing guidelines. We evaluated Css-MRTpo, an empirical method, using chimeric mice with humanised livers capable of generating human-disproportionate metabolites. Azilsartan and AZ-M2 were administered to humanised chimeric mice, and pharmacokinetic parameters were obtained. Pharmacokinetic data for DS-1971a and DS-M1 in humanised chimeric mice were obtained from the literature. The human plasma concentration-time profiles of these compounds were simulated using the Css-MRTpo method. Azilsartan, DS-1971a, and PF-04937319 produced human disproportionate metabolites, AZ-M2, DS-M1, and PF-M1, respectively. The predicted human pharmacokinetic profiles of PF-04937319 and PF-M1 were obtained from a previous study, and their outcomes were re-evaluated. Our findings revealed that the plasma concentrations of the three metabolites were unexpectedly underpredicted, whereas the three unchanged drugs were reasonably predicted. Further, the introduction of the empirical scaling factor of 3, obtained from six model compounds, improved the predictability of metabolites, suggesting the potential usefulness of the Css-MRTpo method in combination with humanised chimeric mice for predicting the pharmacokinetic profiles of disproportionate metabolites at the early stage of new drug development.
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Affiliation(s)
- Hidetaka Kamimura
- Department of Applied Research for Laboratory Animals, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Shotaro Uehara
- Department of Applied Research for Laboratory Animals, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Nao Yoneda
- Department of Applied Research for Laboratory Animals, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Hiroshi Suemizu
- Department of Applied Research for Laboratory Animals, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
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3
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Zhang M, Lei Z, Yu Z, Yao X, Li H, Xu M, Liu D. Development of a PBPK model to quantitatively understand absorption and disposition mechanism and support future clinical trials for PB-201. CPT Pharmacometrics Syst Pharmacol 2023; 12:941-952. [PMID: 37078371 PMCID: PMC10349193 DOI: 10.1002/psp4.12964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 03/11/2023] [Accepted: 03/18/2023] [Indexed: 04/21/2023] Open
Abstract
PB-201 is the second glucokinase activator in the world to enter the phase III clinical trials for the treatment of type 2 diabetes mellitus (T2DM). Combined with the efficacy advantages and the friendly absorption, distribution, metabolism, and excretion characteristics, the indication population of PB-201 will be broad. Because the liver is the primary organ for PB-201 elimination, and the elderly account for 20% of patients with T2DM, it is essential to estimate PB-201 exposure in specific populations to understand the pharmacokinetic characteristics and avoid hypoglycemia. Despite the limited contribution of CYP3A4 to PB-201 metabolism in vivo, the dual effects of nonspecific inhibitors/inducers on PB-201 (substrate for CYP3A4 and CYP2C9 isoenzymes) exposure under fasted and fed states also need to be evaluated to understand potential risks of combination therapy. To grasp the unknown information, the physiologically-based pharmacokinetic (PBPK) model was first developed and the influence of internal and external factors on PB-201 exposure was evaluated. Results are shown that the predictive performance of the mechanistic PBPK model meets the predefined criteria, and can accurately capture the absorption and disposition characteristics. Impaired liver function and age-induced changes in physiological factors may significantly increase the exposure under fasted state by 36%-158% and 48%-82%, respectively. The nonspecific inhibitor (fluconazole) and inducer (rifampicin) may separately increase/decrease PB-201 systemic exposure by 44% and 58% under fasted state, and by 78% and 47% under fed state. Therefore, the influence of internal and external factors on PB-201 exposure deserves attention, and the precision dose can be informed in future clinical studies based on the predicted results.
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Affiliation(s)
- Miao Zhang
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical SciencesUniversity at Buffalo, The State University of New YorkBuffaloNew YorkUSA
| | - Zihan Lei
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
| | - Ziheng Yu
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
- Department of Obstetrics and GynecologyPeking University Third HospitalBeijingChina
| | - Xueting Yao
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
| | - Haiyan Li
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
- Department of Cardiology and Institute of Vascular MedicinePeking University Third HospitalBeijingChina
| | - Min Xu
- PegBio Co., Ltd.SuzhouJiangsuChina
| | - Dongyang Liu
- Drug Clinical Trial CenterPeking University Third HospitalBeijingChina
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Khojasteh SC, Argikar UA, Cho S, Crouch R, Heck CJS, Johnson KM, Kalgutkar AS, King L, Maw HH, Seneviratne HK, Wang S, Wei C, Zhang D, Jackson KD. Biotransformation Novel Advances - 2021 year in review. Drug Metab Rev 2022; 54:207-245. [PMID: 35815654 DOI: 10.1080/03602532.2022.2097253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Biotransformation field is constantly evolving with new molecular structures and discoveries of metabolic pathways that impact efficacy and safety. Recent review by Kramlinger et al (2022) nicely captures the future (and the past) of highly impactful science of biotransformation (see the first article). Based on the selected articles, this review was categorized into three sections: (1) new modalities biotransformation, (2) drug discovery biotransformation, and (3) drug development biotransformation (Table 1).
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Affiliation(s)
- S Cyrus Khojasteh
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Upendra A Argikar
- Non-clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA 02139, USA
| | - Sungjoon Cho
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Rachel Crouch
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, TN, 37203, USA
| | - Carley J S Heck
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Eastern Point Road, Groton, Connecticut, USA
| | - Kevin M Johnson
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Amit S Kalgutkar
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02139, USA
| | - Lloyd King
- Quantitative Drug Discovery, UCB Biopharma UK, 216 Bath Road, Slough, SL1 3WE, UK
| | - Hlaing Holly Maw
- Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, 06877, USA
| | - Herana Kamal Seneviratne
- Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Shuai Wang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Cong Wei
- Drug Metabolism & Pharmacokinetics, Biogen Inc., Cambridge, MA, 02142, USA
| | - Donglu Zhang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, NC 27599, USA
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Yang W, Zhu D, Gan S, Dong X, Su J, Li W, Jiang H, Zhao W, Yao M, Song W, Lu Y, Zhang X, Li H, Wang G, Qiu W, Yuan G, Ma J, Li W, Li Z, Wang X, Zeng J, Yang Z, Liu J, Liang Y, Lu S, Zhang H, Liu H, Liu P, Fan K, Jiang X, Li Y, Su Q, Ning T, Tan H, An Z, Jiang Z, Liu L, Zhou Z, Zhang Q, Li X, Shan Z, Xue Y, Mao H, Shi L, Ye S, Zhang X, Sun J, Li P, Yang T, Li F, Lin J, Zhang Z, Zhao Y, Li R, Guo X, Yao Q, Lu W, Qu S, Li H, Tan L, Wang W, Yao Y, Chen D, Li Y, Gao J, Hu W, Fei X, Wu T, Dong S, Jin W, Li C, Zhao D, Feng B, Zhao Y, Zhang Y, Li X, Chen L. Dorzagliatin add-on therapy to metformin in patients with type 2 diabetes: a randomized, double-blind, placebo-controlled phase 3 trial. Nat Med 2022; 28:974-981. [PMID: 35551292 PMCID: PMC9117147 DOI: 10.1038/s41591-022-01803-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 03/28/2022] [Indexed: 02/08/2023]
Abstract
Metformin, the first-line therapy for type 2 diabetes (T2D), decreases hepatic glucose production and reduces fasting plasma glucose levels. Dorzagliatin, a dual-acting orally bioavailable glucokinase activator targeting both the pancreas and liver glucokinase, decreases postprandial glucose in patients with T2D. In this randomized, double-blind, placebo-controlled phase 3 trial, the efficacy and safety of dorzagliatin as an add-on therapy to metformin were assessed in patients with T2D who had inadequate glycemic control using metformin alone. Eligible patients with T2D (n = 767) were randomly assigned to receive dorzagliatin or placebo (1:1 ratio) as an add-on to metformin (1,500 mg per day) for 24 weeks of double-blind treatment, followed by 28 weeks of open-label treatment with dorzagliatin for all patients. The primary efficacy endpoint was the change in glycated hemoglobin (HbA1c) levels from baseline to week 24, and safety was assessed throughout the trial. At week 24, the least-squares mean change from baseline in HbA1c (95% confidence interval (CI)) was -1.02% (-1.11, -0.93) in the dorzagliatin group and -0.36% (-0.45, -0.26) in the placebo group (estimated treatment difference, -0.66%; 95% CI: -0.79, -0.53; P < 0.0001). The incidence of adverse events was similar between groups. There were no severe hypoglycemia events or drug-related serious adverse events in the dorzagliatin and metformin combined therapy group. In patients with T2D who experienced inadequate glycemic control with metformin alone, dorzagliatin resulted in effective glycemic control with good tolerability and safety profile ( NCT03141073 ).
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Affiliation(s)
| | - Dalong Zhu
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
| | - Shenglian Gan
- The First People's Hospital of Changde City, Changde, China
| | - Xiaolin Dong
- Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Junping Su
- Cangzhou People's Hospital, Cangzhou, China
| | - Wenhui Li
- Peking Union Medical College Hospital, Beijing, China
| | - Hongwei Jiang
- The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Wenjuan Zhao
- The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Minxiu Yao
- Qingdao Central Hospital, Qingdao, China
| | - Weihong Song
- Chenzhou First People's Hospital, Chenzhou, China
| | - Yibing Lu
- The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiuzhen Zhang
- Tongji Hospital of Tongji University, Shanghai, China
| | - Huifang Li
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Guixia Wang
- The First Bethune Hospital of Jilin University, Changchun, China
| | - Wei Qiu
- Huzhou Central Hospital, Huzhou, China
| | - Guoyue Yuan
- The Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | | | - Wei Li
- The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ziling Li
- Inner Mongolia Baogang Hospital, Baotou, China
| | - Xiaoyue Wang
- The First People's Hospital of Yue Yang, Yueyang, China
| | - Jiao'e Zeng
- Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China
| | - Zhou Yang
- Jiangxi Pingxiang People's Hospital, Pingxiang, China
| | - Jingdong Liu
- Jiangxi Provincial People's Hospital, Nanchang, China
| | | | - Song Lu
- Chongqing General Hospital, Chongqing, China
| | - Huili Zhang
- Qinghai University Affiliated Hospital, Xining, China
| | - Hui Liu
- Luoyang Central Hospital, Luoyang, China
| | - Ping Liu
- General Hospital of Ningxia Medical University, Yinchuan, China
| | - Kuanlu Fan
- The General Hospital of Xuzhou City Mining Group, Xuzhou, China
| | - Xiaozhen Jiang
- Shanghai Pudong New Area People's Hospital, Shanghai, China
| | - Yufeng Li
- Beijing Friendship Hospital Pinggu Campus, Capital Medical University, Beijing, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Ning
- Baotou Central Hospital, Baotou, China
| | - Huiwen Tan
- West China Hospital of Sichuan University, Chengdu, China
| | - Zhenmei An
- West China Hospital of Sichuan University, Chengdu, China
| | - Zhaoshun Jiang
- The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Lijun Liu
- Yiyang Central Hospital, Yiyang, China
| | - Zunhai Zhou
- Yangpu Hospital, Tongji University, Shanghai, China
| | - Qiu Zhang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xuefeng Li
- Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zhongyan Shan
- The First Hospital of China Medical University, Shenyang, China
| | - Yaoming Xue
- Southern Medical University Nanfang Hospital, Guangzhou, China
| | - Hong Mao
- The Central Hospital of Wuhan, Wuhan, China
| | - Lixin Shi
- The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | | | - Xiaomei Zhang
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Jiao Sun
- Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Ping Li
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Tao Yang
- Jiangsu Province Hospital, Nanjing, China
| | - Feng Li
- Jining No. 1 People's Hospital, Jining, China
| | - Jingna Lin
- Tianjin People's Hospital, Tianjin, China
| | | | - Ying Zhao
- Jilin Central General Hospital, Jilin, China
| | - Ruonan Li
- Third People's Hospital of Yunnan Province, Kunming, China
| | - Xiaohui Guo
- Peking University First Hospital, Beijing, China
| | - Qi Yao
- Ningbo First Hospital, Ningbo, China
| | - Weiping Lu
- The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Shen Qu
- Shanghai Tenth People's Hospital, Shanghai, China
| | - Hongmei Li
- Emergency General Hospital, Beijing, China
| | - Liling Tan
- The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Wenbo Wang
- Peking University Shougang Hospital, Beijing, China
| | - Yongli Yao
- Qinghai Provincial People's Hospital, Xining, China
| | | | - Yulan Li
- Liuzhou People's Hospital, Liuzhou, China
| | - Jialin Gao
- Yijishan Hospital, The First Affiliated Hospital of Wannan Medical University, Wuhu, China
| | - Wen Hu
- The Second People's Hospital of Huai'an, Huai'an, China
| | | | | | - Song Dong
- Aerospace Center Hospital, Beijing, China
| | | | - Chenzhong Li
- The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Dong Zhao
- Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China
| | - Bo Feng
- Shanghai East Hospital, Tongji University, Shanghai, China
| | - Yu Zhao
- Hua Medicine (Shanghai) Ltd., Shanghai, China
| | - Yi Zhang
- Hua Medicine (Shanghai) Ltd., Shanghai, China
| | - Xiaoying Li
- Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Li Chen
- Hua Medicine (Shanghai) Ltd., Shanghai, China.
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Asano D, Hamaue S, Zahir H, Shiozawa H, Nishiya Y, Kimura T, Kazui M, Yamamura N, Ikeguchi M, Shibayama T, Inoue SI, Shinozuka T, Watanabe T, Yahara C, Watanabe N, Yoshinari K. CYP2C8-Mediated Formation of a Human Disproportionate Metabolite of the Selective Na V1.7 Inhibitor DS-1971a, a Mixed Cytochrome P450 and Aldehyde Oxidase Substrate. Drug Metab Dispos 2021; 50:235-242. [PMID: 34930785 DOI: 10.1124/dmd.121.000665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 12/06/2021] [Indexed: 11/22/2022] Open
Abstract
Predicting human disproportionate metabolites is difficult, especially when drugs undergo species-specific metabolism mediated by cytochrome P450s (P450s) and/or non-P450 enzymes. This study assessed human metabolites of DS-1971a, a potent Nav1.7-selective blocker, by performing human mass balance studies and characterizing DS-1971a metabolites, in accordance with the Metabolites in Safety Testing (MIST) guidance. In addition, we investigated the mechanism by which the major human disproportionate metabolite (M1) was formed. After oral administration of radiolabeled DS-1971a, the major metabolites in human plasma were P450-mediated monoxidized metabolites M1 and M2 with area under the curve ratios of 27% and 10% of total drug-related exposure, respectively; the minor metabolites were dioxidized metabolites produced by aldehyde oxidase and P450s. By comparing exposure levels of M1 and M2 between humans and safety assessment animals, M1 but not M2 was found to be a human disproportionate metabolite, requiring further characterization under the MIST guidance. Incubation studies with human liver microsomes indicated that CYP2C8 was responsible for the formation of M1. Docking simulation indicated that, in the formation of M1 and M2, there would be hydrogen bonding and/or electrostatic interactions between the pyrimidine and sulfonamide moieties of DS-1971a and amino acid residues Ser100, Ile102, Ile106, Thr107, and Asn217 in CYP2C8, and that the cyclohexane ring of DS-1971a would be located near the heme iron of CYP2C8. These results clearly indicate that M1 is the predominant metabolite in humans and a human disproportionate metabolite due to species-specific differences in metabolism. Significance Statement This report is the first to show a human disproportionate metabolite generated by CYP2C8-mediated primary metabolism. We clearly demonstrate that DS-1971a, a mixed aldehyde oxidase and cytochrome P450 substrate, was predominantly metabolized by CYP2C8 to form M1, a human disproportionate metabolite. Species differences in the formation of M1 highlight the regio- and stereoselective metabolism by CYP2C8, and the proposed interaction between DS-1971a and CYP2C8 provides new knowledge of CYP2C8-mediated metabolism of cyclohexane-containing substrates.
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Affiliation(s)
- Daigo Asano
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Japan
| | | | | | - Hideyuki Shiozawa
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Japan
| | - Yumi Nishiya
- Drug Metabolism&Pharacokinetics Research Labo, Daiichi Sankyo Co. Ltd., Japan
| | | | | | | | | | - Takahiro Shibayama
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Japan
| | - Shin-Ichi Inoue
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Japan
| | | | | | | | - Nobuaki Watanabe
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Japan
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Liu D, Du Y, Yao X, Wei Y, Zhu J, Cui C, Zhou H, Xu M, Li H, Ji L. Safety, tolerability, pharmacokinetics, and pharmacodynamics of the glucokinase activator PB-201 and its effects on the glucose excursion profile in drug-naïve Chinese patients with type 2 diabetes: a randomised controlled, crossover, single-centre phase 1 trial. EClinicalMedicine 2021; 42:101185. [PMID: 34805810 PMCID: PMC8585621 DOI: 10.1016/j.eclinm.2021.101185] [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: 07/27/2021] [Revised: 10/15/2021] [Accepted: 10/18/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND PB-201, a partial, pancreas/liver-dual glucokinase activator, showed good tolerance and glycaemic effects in multinational studies. This study determined its optimal dose, safety, pharmacokinetics, and pharmacodynamics in Chinese patients with type 2 diabetes. METHODS In this double-blind, randomised, four-period, crossover, phase 1 trial in China, conducted at the Peking University Third Hospital, adult patients with drug-naive type 2 diabetes were randomised (1:1:1:1) to four sequence groups using a computer-generated randomisation table. In each period, they received oral placebo or PB-201 (50+50, 100+50, or 100+100 mg split doses) for 7 days. Investigators and patients were masked to treatment assignment. The primary endpoints were safety and pharmacokinetics. Continuous glucose monitoring was used to delineate the glucose excursion profile. Trial registration number: NCT03973515. FINDINGS Between August 27, 2019 and December 19, 2019, 16 patients were randomised. PB-201 showed a dose-proportional pharmacokinetic profile without apparent accumulation in the body and induced dose-dependent lowering of blood glucose. PB-201 at 50+50, 100+50, and 100+100 mg increased mean time in range (49·210% [standard deviation 27], 56·130% [25], and 63·330% [20] with three doses, respectively) versus placebo (49·380% [27]) and reduced estimated glycated haemoglobin from baseline (-0·5445% [1·654], -1·063% [1·236], and -1·888% [1·381] vs -0·581% [1·200]). Fifteen patients (93·8%) had treatment-emergent adverse events, which were mild. No patients had hypoglycaemia with venous/capillary glucose <3·9 mmol/L or nocturnal hypoglycaemia. INTERPRETATION PB-201 100 mg twice daily is identified as the optimal dose, which shows promising glucose-lowering effects and low risks of hypoglycaemia and other side effects. Further investigation of PB-201 100 mg twice daily in confirmatory trials is warranted. FUNDING PegBio.
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Affiliation(s)
- Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | - Ying Du
- PegBio Co., Ltd, Suzhou, China
| | - Xueting Yao
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | - Yudong Wei
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | - Jixiang Zhu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | - Cheng Cui
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | | | - Min Xu
- PegBio Co., Ltd, Suzhou, China
| | - Haiyan Li
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
- Prof Haiyan Li, Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing, China
- Correspondence to: Prof Linong Ji, Department of Endocrinology, Peking University People's Hospital, Beijing, China
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8
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Kamiya Y, Otsuka S, Miura T, Yoshizawa M, Nakano A, Iwasaki M, Kobayashi Y, Shimizu M, Kitajima M, Shono F, Funatsu K, Yamazaki H. Physiologically Based Pharmacokinetic Models Predicting Renal and Hepatic Concentrations of Industrial Chemicals after Virtual Oral Doses in Rats. Chem Res Toxicol 2020; 33:1736-1751. [PMID: 32500706 DOI: 10.1021/acs.chemrestox.0c00009] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Recently developed high-throughput in vitro assays in combination with computational models could provide alternatives to animal testing. The purpose of the present study was to model the plasma, hepatic, and renal pharmacokinetics of approximately 150 structurally varied types of drugs, food components, and industrial chemicals after virtual external oral dosing in rats and to determine the relationship between the simulated internal concentrations in tissue/plasma and their lowest-observed-effect levels. The model parameters were based on rat plasma data from the literature and empirically determined pharmacokinetics measured after oral administrations to rats carried out to evaluate hepatotoxic or nephrotic potentials. To ensure that the analyzed substances exhibited a broad diversity of chemical structures, their structure-based location in the chemical space underwent projection onto a two-dimensional plane, as reported previously, using generative topographic mapping. A high-throughput in silico one-compartment model and a physiologically based pharmacokinetic (PBPK) model consisting of chemical receptor (gut), metabolizing (liver), central (main), and excreting (kidney) compartments were developed in parallel. For 159 disparate chemicals, the maximum plasma concentrations and the areas under the concentration-time curves obtained by one-compartment models and modified simple PBPK models were closely correlated. However, there were differences between the PBPK modeled and empirically obtained hepatic/renal concentrations and plasma maximal concentrations/areas under the concentration-time curves of the 159 chemicals. For a few compounds, the lowest-observed-effect levels were available for hepatotoxicity and nephrotoxicity in the Hazard Evaluation Support System Integrated Platform in Japan. The areas under the renal or hepatic concentration-time curves estimated using PBPK modeling were inversely associated with these lowest-observed-effect levels. Using PBPK forward dosimetry could provide the plasma/tissue concentrations of drugs and chemicals after oral dosing, thereby facilitating estimates of nephrotoxic or hepatotoxic potential as a part of the risk assessment.
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Affiliation(s)
- Yusuke Kamiya
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Shohei Otsuka
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Tomonori Miura
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Manae Yoshizawa
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Ayane Nakano
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Miyu Iwasaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Yui Kobayashi
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Makiko Shimizu
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
| | - Masato Kitajima
- Fujitsu Kyusyu Systems, Higashi-hie, Hakata-ku, Fukuoka 812-0007, Japan
| | - Fumiaki Shono
- Department of Chemical System Engineering, School of Engineering, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Kimito Funatsu
- Department of Chemical System Engineering, School of Engineering, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan
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Kamimura H, Uehara S, Suemizu H. A novel Css-MRTpo approach to simulate oral plasma concentration-time profiles of the partial glucokinase activator PF-04937319 and its disproportionate N-demethylated metabolite in humans using chimeric mice with humanized livers. Xenobiotica 2019; 50:761-768. [PMID: 31721621 DOI: 10.1080/00498254.2019.1693082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
A Css-MRTpo superposition method was devised to predict (retrospectively) oral plasma concentration-time profiles of PF-04937319 and its MIST-related metabolite, M1, in humans using chimeric mice with humanized liver.Original PK data were taken from a published report in which PF-04937319 and M1 were given to chimeric mice orally and/or intravenously. Human CL and Vss were predicted by single-species allometry and MRTiv,pred were calculated as Vss,pred/CL,pred. MRTpo,human were assumed to be MRTiv,pred plus MAT or mean metabolite formation time (MFT). Human Css was calculated by dividing the corrected oral dose by Vss,pred.Chronological sampling time and measured plasma concentrations were corrected by MRTpo,human and Css,human, respectively, and transformed to the corresponding values in humans.The obtained concentration-time profile of PF-04937319 was superimposed well with the observed data after single and repeated oral administration to humans. The transformed plasma concentration of M1 was somewhat lower than the observed value, but a slow increase of the simulated metabolite reflected gradual increase of observed M1 on Day 1. Transformed M1 gave an almost-flat concentration-time profile on Day 14, which was consistent with the curve observed in humans. Application of this novel method to other MIST-related compounds is discussed.
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Affiliation(s)
- Hidetaka Kamimura
- Laboratory Animal Research Department, Central Institute for Experimental Animals, Kawasaki, Japan
| | - Shotaro Uehara
- Laboratory Animal Research Department, Central Institute for Experimental Animals, Kawasaki, Japan
| | - Hiroshi Suemizu
- Laboratory Animal Research Department, Central Institute for Experimental Animals, Kawasaki, Japan
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Sharma R, Bergman A, Litchfield J, Atkinson K, Kazierad DJ, Kalgutkar AS. Metabolism and excretion of ( S)-6-(3-cyclopentyl-2-(4-trifluoromethyl)-1 H-imidazol-1-yl)propanamido)nicotinic acid (PF-04991532), a hepatoselective glucokinase activator, in humans: confirmation of the MIST potential noted in first-in-Human metabolite scouting studies. Xenobiotica 2019; 49:1447-1457. [PMID: 30747552 DOI: 10.1080/00498254.2019.1581960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
1. The absorption, metabolism, and excretion of a single oral 450-mg dose of [14C]-(S)-6-(3-cyclopentyl-2-(4-trifluoromethyl)-1H-imidazol-1-yl)propanamido)nicotinic acid (PF-04991532), a hepatoselective glucokinase activator, was investigated in humans. Mass balance was achieved with ∼94.6% of the administered dose recovered in urine and feces. The total administered radioactivity excreted in feces and urine was 70.6% and 24.1%, respectively. Unchanged PF-04991532 collectively accounted for ∼47.2% of the dose excreted in feces and urine, suggestive of moderate metabolic elimination in humans. 2. The biotransformation pathways involved acyl glucuronidation (M1), amide bond hydrolysis (M3), and CYP3A4-mediated oxidative metabolism on the cyclopentyl ring in PF-04991532 yielding monohydroxylated isomers (M2a-d). Unchanged PF-04991532 was the major circulating component (64.4% of total radioactivity) whereas M2a-d collectively represented 28.9% of the total plasma radioactivity. 3. Metabolites M2a-d were not detected systemically in rats and dogs, the preclinical species for the toxicological evaluation of PF-04991532. In contrast, cynomologus monkeys dosed orally with unlabeled PF-04991532 revealed M2a-d in circulation, whose UV abundance was comparable to the profile in humans. This observation suggested that monkeys could potentially serve as a non-rodent alternative for studying the toxicity of PF-04991532 and its metabolites M2a-d. 4. The present results are in excellent agreement with our previously generated metabolite scouting data, which provided preliminary evidence for the disproportionate metabolism of PF-04991532 in humans.
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Affiliation(s)
- Raman Sharma
- Medicine Design Pfizer Worldwide Research and Development , Groton , CT , USA
| | - Arthur Bergman
- Clinical Pharmacology/Pharmacometrics Pfizer Worldwide Research and Development , Groton , CT , USA
| | - John Litchfield
- Medicine Design Pfizer Worldwide Research and Development , Cambridge , MA , USA
| | - Karen Atkinson
- Medicine Design Pfizer Worldwide Research and Development , Groton , CT , USA
| | - David J Kazierad
- Clinical Sciences Pfizer Worldwide Research and Development , Cambridge , MA , USA
| | - Amit S Kalgutkar
- Medicine Design Pfizer Worldwide Research and Development , Cambridge , MA , USA
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Kamiya Y, Otsuka S, Miura T, Takaku H, Yamada R, Nakazato M, Nakamura H, Mizuno S, Shono F, Funatsu K, Yamazaki H. Plasma and Hepatic Concentrations of Chemicals after Virtual Oral Administrations Extrapolated Using Rat Plasma Data and Simple Physiologically Based Pharmacokinetic Models. Chem Res Toxicol 2018; 32:211-218. [PMID: 30511563 DOI: 10.1021/acs.chemrestox.8b00307] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Only a small fraction of chemicals possesses adequate in vivo toxicokinetic data for assessing potential hazards. The aim of the present study was to model the plasma and hepatic pharmacokinetics of more than 50 disparate types of chemicals and drugs after virtual oral administrations in rats. The models were based on reported pharmacokinetics determined after oral administration to rats. An inverse relationship was observed between no-observed-effect levels after oral administration and chemical absorbance rates evaluated for cell permeability ( r = -0.98, p < 0.001, n = 17). For a varied selection of more than 30 chemicals, the plasma concentration curves and the maximum concentrations obtained using a simple one-compartment model (recently recommended as a high-throughput toxicokinetic model) and a simple physiologically based pharmacokinetic (PBPK) model (consisting of chemical receptor, metabolizing, and central compartments) were highly consistent. The hepatic and plasma concentrations and the hepatic and plasma areas under the concentration-time curves of more than 50 chemicals were roughly correlated; however, differences were evident between the PBPK-modeled values in livers and empirically obtained values in plasma. Of the compounds selected for analysis, only seven had the lowest observed effect level (LOEL) values for hepatoxicity listed in the Hazard Evaluation Support System Integrated Platform in Japan. For these seven compounds, the LOEL values and the areas under the hepatic concentration-time curves estimated using PBPK modeling were inversely correlated ( r = -0.78, p < 0.05, n = 7). This study provides important information to help simulate the high hepatic levels of potent hepatotoxic compounds. Using suitable PBPK parameters, the present models could estimate the plasma/hepatic concentrations of chemicals and drugs after oral doses using both PBPK forward and reverse dosimetry, thereby indicating the potential value of this modeling approach in predicting hepatic toxicity as a part of risk assessments of chemicals absorbed in the human body.
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Affiliation(s)
- Yusuke Kamiya
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Shohei Otsuka
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Tomonori Miura
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Hiroka Takaku
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Rio Yamada
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Mayuko Nakazato
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Hitomi Nakamura
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Sawa Mizuno
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
| | - Fumiaki Shono
- Department of Chemical System Engineering, School of Engineering , The University of Tokyo , Bunkyo-ku, Tokyo 113-8656 , Japan
| | - Kimito Funatsu
- Department of Chemical System Engineering, School of Engineering , The University of Tokyo , Bunkyo-ku, Tokyo 113-8656 , Japan
| | - Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , 3-3165 Higashi-tamagawa Gakuen , Machida, Tokyo 194-8543 , Japan
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12
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Zhu XX, Zhu DL, Li XY, Li YL, Jin XW, Hu TX, Zhao Y, Li YG, Zhao GY, Ren S, Zhang Y, Ding YH, Chen L. Dorzagliatin (HMS5552), a novel dual-acting glucokinase activator, improves glycaemic control and pancreatic β-cell function in patients with type 2 diabetes: A 28-day treatment study using biomarker-guided patient selection. Diabetes Obes Metab 2018; 20:2113-2120. [PMID: 29707866 DOI: 10.1111/dom.13338] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 04/19/2018] [Accepted: 04/24/2018] [Indexed: 01/04/2023]
Abstract
AIMS To investigate the pharmacokinetics and pharmacodynamics of a dual-acting glucokinase activator, dorzagliatin, and its safety, tolerability and effect on pancreatic β-cell function in Chinese patients with type 2 diabetes (T2D). MATERIALS AND METHODS A total of 24 T2D patients were selected, utilizing a set of predefined clinical biomarkers, and were randomized to receive dorzagliatin 75 mg twice or once daily (BID, QD respectively) for 28 days. Changes in HbA1c and glycaemic parameters from baseline to Day 28 were assessed. In addition, changes in β-cell function from baseline to Day 32 were evaluated. RESULTS Significant reductions in HbA1c were observed in both regimens on Day 28 (-0.79%, 75 mg BID; -1.22%, 75 mg QD). Similar trends were found in the following parameters, including reductions from baseline in fasting plasma glucose by 1.20 mmol/L and 1.51 mmol/L, in 2-hour postprandial glucose by 2.48 mmol/L and 5.03 mmol/L, and in glucose AUC0-24 by 18.59% and 20.98%, for the BID and QD groups, respectively. Both regimens resulted in improvement in β-cell function as measured by steady state HOMA 2 parameter, %B, which increased by 36.31% and 40.59%, and by dynamic state parameter, ΔC30 /ΔG30 , which increased by 24.66% and 167.67%, for the BID and QD groups, respectively. Dorzagliatin was well tolerated in both regimens, with good pharmacokinetic profiles. CONCLUSIONS Dorzagliatin treatment for 28 days in Chinese T2D patients, selected according to predefined biomarkers, resulted in significant improvement in β-cell function and glycaemic control. The safety and pharmacokinetic profile of dorzagliatin supports a subsequent Phase II trial design and continued clinical development.
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Affiliation(s)
- Xiao-Xue Zhu
- Phase I Clinical Trial Unit, The First Hospital of Jilin University, Changchun, China
| | - Da-Long Zhu
- Department of Endocrinology and Metabolism, Nanjing Drum Hospital, Nanjing University Medical School, Nanjing, China
| | - Xiao-Ying Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ya-Lin Li
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Xiao-Wei Jin
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Tian-Xin Hu
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Yu Zhao
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Yong-Guo Li
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Gui-Yu Zhao
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Shuang Ren
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Yi Zhang
- Hua Medicine (Shanghai) Limited, Shanghai, China
| | - Yan-Hua Ding
- Phase I Clinical Trial Unit, The First Hospital of Jilin University, Changchun, China
| | - Li Chen
- Hua Medicine (Shanghai) Limited, Shanghai, China
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Kamimura H, Ito S, Chijiwa H, Okuzono T, Ishiguro T, Yamamoto Y, Nishinoaki S, Ninomiya SI, Mitsui M, Kalgutkar AS, Yamazaki H, Suemizu H. Simulation of human plasma concentration-time profiles of the partial glucokinase activator PF-04937319 and its disproportionate N-demethylated metabolite using humanized chimeric mice and semi-physiological pharmacokinetic modeling. Xenobiotica 2016; 47:382-393. [PMID: 27389028 DOI: 10.1080/00498254.2016.1199063] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
1. The partial glucokinase activator N,N-dimethyl-5-((2-methyl-6-((5-methylpyrazin-2-yl)carbamoyl)benzofuran-4-yl)oxy)pyrimidine-2-carboxamide (PF-04937319) is biotransformed in humans to N-methyl-5-((2-methyl-6-((5-methylpyrazin-2-yl)carbamoyl)benzofuran-4-yl)oxy)pyrimidine-2-carboxamide (M1), accounting for ∼65% of total exposure at steady state. 2. As the disproportionately abundant nature of M1 could not be reliably predicted from in vitro metabolism studies, we evaluated a chimeric mouse model with humanized liver on TK-NOG background for its ability to retrospectively predict human disposition of PF-04937319. Since livers of chimeric mice were enlarged by hyperplasia and contained remnant mouse hepatocytes, hepatic intrinsic clearances normalized for liver weight, metabolite formation and liver to plasma concentration ratios were plotted against the replacement index by human hepatocytes and extrapolated to those in the virtual chimeric mouse with 100% humanized liver. 3. Semi-physiological pharmacokinetic analyses using the above parameters revealed that simulated concentration curves of PF-04937319 and M1 were approximately superimposed with the observed clinical data in humans. 4. Finally, qualitative profiling of circulating metabolites in humanized chimeric mice dosed with PF-04937319 or M1 also revealed the presence of a carbinolamide metabolite, identified in the clinical study as a human-specific metabolite. The case study demonstrates that humanized chimeric mice may be potentially useful in preclinical discovery towards studying disproportionate or human-specific metabolism of drug candidates.
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Affiliation(s)
- Hidetaka Kamimura
- a Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Tokyo , Japan.,b Laboratory Animal Research Department , Central Institute for Experimental Animals, Kawasaki , Kanagawa , Japan
| | - Satoshi Ito
- a Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Tokyo , Japan
| | - Hiroyuki Chijiwa
- c Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Ibaraki , Japan
| | - Takeshi Okuzono
- c Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Ibaraki , Japan
| | - Tomohiro Ishiguro
- c Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Ibaraki , Japan
| | - Yosuke Yamamoto
- c Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Ibaraki , Japan
| | - Sho Nishinoaki
- c Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Ibaraki , Japan
| | - Shin-Ichi Ninomiya
- a Drug Development Solutions Division, Sekisui Medical Co., Ltd. , Tokyo , Japan
| | - Marina Mitsui
- d Showa Pharmaceutical University, Machida , Tokyo , Japan , and
| | | | - Hiroshi Yamazaki
- d Showa Pharmaceutical University, Machida , Tokyo , Japan , and
| | - Hiroshi Suemizu
- b Laboratory Animal Research Department , Central Institute for Experimental Animals, Kawasaki , Kanagawa , Japan
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Denney WS, Denham DS, Riggs MR, Amin NB. Glycemic Effect and Safety of a Systemic, Partial Glucokinase Activator, PF-04937319, in Patients With Type 2 Diabetes Mellitus Inadequately Controlled on Metformin-A Randomized, Crossover, Active-Controlled Study. Clin Pharmacol Drug Dev 2016; 5:517-527. [DOI: 10.1002/cpdd.261] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 02/29/2016] [Indexed: 11/10/2022]
Affiliation(s)
| | | | | | - Neeta B. Amin
- Pfizer Worldwide Research and Development; Cambridge MA USA
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Kamimura H, Ito S. Assessment of chimeric mice with humanized livers in new drug development: generation of pharmacokinetics, metabolism and toxicity data for selecting the final candidate compound. Xenobiotica 2015; 46:557-69. [DOI: 10.3109/00498254.2015.1091113] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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