1
|
Li X, Hu Q, Xu T. Associated factors with voriconazole plasma concentration: a systematic review and meta-analysis. Front Pharmacol 2024; 15:1368274. [PMID: 39246651 PMCID: PMC11377273 DOI: 10.3389/fphar.2024.1368274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 08/12/2024] [Indexed: 09/10/2024] Open
Abstract
Background: Voriconazole plasma concentration exhibits significant variability and maintaining it within the therapeutic range is the key to enhancing its efficacy. We conducted a systematic review and meta-analysis to estimate the prevalence of patients achieving the therapeutic range of plasma voriconazole concentration and identify associated factors. Methods: Eligible studies were identified through the PubMed, Embase, Cochrane Library, and Web of Science databases from their inception until 18 November 2023. We conducted a meta-analysis using a random-effects model to determine the prevalence of patients who reached the therapeutic plasma voriconazole concentration range. Factors associated with plasma voriconazole concentration were summarized from the included studies. Results: Of the 60 eligible studies, 52 reported the prevalence of patients reaching the therapeutic range, while 20 performed multiple linear regression analyses. The pooled prevalence who achieved the therapeutic range was 56% (95% CI: 50%-63%) in studies without dose adjustment patients. The pooled prevalence of adult patients was 61% (95% CI: 56%-65%), and the pooled prevalence of children patients was 55% (95% CI: 50%-60%) The study identified, in the children population, several factors associated with plasma voriconazole concentration, including age (coefficient 0.08, 95% CI: 0.01 to 0.14), albumin (-0.05 95% CI: -0.09 to -0.01), in the adult population, some factors related to voriconazole plasma concentration, including omeprazole (1.37, 95% CI 0.82 to 1.92), pantoprazole (1.11, 95% CI: 0.17-2.04), methylprednisolone (-1.75, 95% CI: -2.21 to -1.30), and dexamethasone (-1.45, 95% CI: -2.07 to -0.83). Conclusion: The analysis revealed that only approximately half of the patients reached the plasma voriconazole concentration therapeutic range without dose adjustments and the pooled prevalence of adult patients reaching the therapeutic range is higher than that of children. Therapeutic drug monitoring is crucial in the administration of voriconazole, especially in the children population. Particular attention may be paid to age, albumin levels in children, and the use of omeprazole, pantoprazole, dexamethasone and methylprednisolone in adults. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023483728.
Collapse
Affiliation(s)
- Xiaoqi Li
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiaozhi Hu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ting Xu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
2
|
Liu S, Yao X, Tao J, Zhao S, Sun S, Wang S, Tian X. Impact of CYP2C19, CYP2C9, CYP3A4, and FMO3 Genetic Polymorphisms and Sex on the Pharmacokinetics of Voriconazole after Single and Multiple Doses in Healthy Chinese Subjects. J Clin Pharmacol 2024; 64:1030-1043. [PMID: 38654529 DOI: 10.1002/jcph.2440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
Voriconazole is the first-line treatment for invasive aspergillosis. Its pharmacokinetics exhibit considerable inter- and intra-individual variability. The purpose of this study was to investigate the effects of CYP2C19, CYP2C9, CYP3A4, and FMO3 genetic polymorphisms and sex on the pharmacokinetics of voriconazole in healthy Chinese adults receiving single-dose and multiple-dose voriconazole, to provide a reference for its clinical individualized treatment. A total of 123 healthy adults were enrolled in the study, with 108 individuals and 15 individuals in the single-dose and multiple-dose doses, respectively. Plasma voriconazole concentrations were measured using a validated LC-MS/MS method, and pharmacokinetics parameters were calculated using the non-compartmental method with WinNonlin 8.2. CYP2C19, CYP2C9, CYP3A4, and FMO3 single-nucleotide polymorphisms were sequenced using the Illumina Hiseq X-Ten platform. The results suggested that CYP2C19 genetic polymorphisms significantly affected the pharmacokinetics of voriconazole at single doses of 4, 6, and 8 mg/kg and multiple doses of voriconazole. CYP3A4 rs2242480 had a significant effect on AUC0-∞ (area under the plasma concentration-time curve from time 0 to infinity) and MRT (mean residence time) of voriconazole at a single dose of 4 mg/kg in CYP2C19 extensive metabolizer. Regardless of the CYP2C19 genotype, CYP2C9 rs1057910 and FMO3 rs2266780 were not associated with the pharmacokinetics of voriconazole at three single-dose levels or multiple doses. No significant differences in most voriconazole pharmacokinetics parameters were noted between male and female participants after single and multiple dosing. For patients receiving voriconazole treatment, CYP2C19 genetic polymorphisms should be genotyped for its precision administration. In contrast, based on our study of healthy Chinese adults, it seems unnecessary to consider the effects of CYP2C9, CYP3A4, and FMO3 genetic polymorphisms on voriconazole pharmacokinetics.
Collapse
Affiliation(s)
- Shuaibing Liu
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xia Yao
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Jun Tao
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Shiyu Zhao
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Suke Sun
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Suyun Wang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xin Tian
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan Province, China
| |
Collapse
|
3
|
Wang Y, Ye Q, Li P, Huang L, Qi Z, Chen W, Zhan Q, Wang C. Renal Replacement Therapy as a New Indicator of Voriconazole Clearance in a Population Pharmacokinetic Analysis of Critically Ill Patients. Pharmaceuticals (Basel) 2024; 17:665. [PMID: 38931333 PMCID: PMC11206427 DOI: 10.3390/ph17060665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024] Open
Abstract
AIMS The pharmacokinetic (PK) profiles of voriconazole in intensive care unit (ICU) patients differ from that in other patients. We aimed to develop a population pharmacokinetic (PopPK) model to evaluate the effects of using extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) and those of various biological covariates on the voriconazole PK profile. METHODS Modeling analyses of the PK parameters were conducted using the nonlinear mixed-effects modeling method (NONMEM) with a two-compartment model. Monte Carlo simulations (MCSs) were performed to observe the probability of target attainment (PTA) when receiving CRRT or not under different dosage regimens, different stratifications of quick C-reactive protein (qCRP), and different minimum inhibitory concentration (MIC) ranges. RESULTS A total of 408 critically ill patients with 746 voriconazole concentration-time data points were included in this study. A two-compartment population PK model with qCRP, CRRT, creatinine clearance rate (CLCR), platelets (PLT), and prothrombin time (PT) as fixed effects was developed using the NONMEM. CONCLUSIONS We found that qCRP, CRRT, CLCR, PLT, and PT affected the voriconazole clearance. The most commonly used clinical regimen of 200 mg q12h was sufficient for the most common sensitive pathogens (MIC ≤ 0.25 mg/L), regardless of whether CRRT was performed and the level of qCRP. When the MIC was 0.5 mg/L, 200 mg q12h was insufficient only when the qCRP was <40 mg/L and CRRT was performed. When the MIC was ≥2 mg/L, a dose of 300 mg q12h could not achieve ≥ 90% PTA, necessitating the evaluation of a higher dose.
Collapse
Affiliation(s)
- Yuqiong Wang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; (Y.W.); (C.W.)
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
| | - Qinghua Ye
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
| | - Pengmei Li
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, China;
| | - Linna Huang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
| | - Zhijiang Qi
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
| | - Wenqian Chen
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, China;
| | - Qingyuan Zhan
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; (Y.W.); (C.W.)
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
| | - Chen Wang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; (Y.W.); (C.W.)
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China; (Q.Y.); (L.H.); (Z.Q.)
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
4
|
Li Y, Zhang Y, Zhao J, Bian J, Zhao Y, Hao X, Liu B, Hu L, Liu F, Yang C, Feng Y, Huang L. Combined impact of hypoalbuminemia and pharmacogenomic variants on voriconazole trough concentration: data from a real-life clinical setting in the Chinese population. J Chemother 2024; 36:179-189. [PMID: 37599449 DOI: 10.1080/1120009x.2023.2247208] [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: 05/16/2023] [Revised: 07/01/2023] [Accepted: 08/08/2023] [Indexed: 08/22/2023]
Abstract
Voriconazole (VRC) displays highly variable pharmacokinetics impacting treatment efficacy and safety. To provide evidence for optimizing VRC therapy regimens, the authors set out to determine the factors impacting VRC steady-state trough concentration (Cmin) in patients with various albumin (Alb) level. A total of 275 blood samples of 120 patients and their clinical characteristics and genotypes of CYP2C19, CYP3A4, CYP3A5, CYP2C9, FMO3, ABCB1, POR, NR1I2 and NR1I3 were included in this study. Results of multivariate linear regression analysis demonstrated that C-reactive protein (CRP) and total bilirubin (T-Bil) were predictors of the VRC Cmin adjusted for dose in patients with hypoalbuminemia (Alb < 35 g/L) (R2 = 0.16, P < 0.001). Additionally, in patients with normal albumin level (Alb ≥ 35 g/L), it resulted in a significant model containing factors of the poor metabolizer (PM) CYP2C19 genotype and CRP level (R2 = 0.26, P < 0.001). Therefore, CRP and T-Bil levels ought to receive greater consideration than genetic factors in patients with hypoalbuminemia.
Collapse
Affiliation(s)
- Yuanyuan Li
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Ying Zhang
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Jinxia Zhao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Jialu Bian
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Yinyu Zhao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Xu Hao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Boyu Liu
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| | - Lei Hu
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| | - Fang Liu
- Department of Mathematics and Physics, School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, China
| | - Changqing Yang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yufei Feng
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| | - Lin Huang
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| |
Collapse
|
5
|
Hao X, Li Y, Zhang Y, Bian J, Zhao J, Zhao Y, Hu L, Luo X, Yang C, Feng Y, Huang L. Individualized treatment with voriconazole in the Chinese population: Inflammation level as a novel marker for dose optimization. Br J Clin Pharmacol 2024; 90:440-451. [PMID: 37766511 DOI: 10.1111/bcp.15916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023] Open
Abstract
AIMS The aim of this study was to explore the influence and possible mechanisms of pharmacokinetics-related gene polymorphisms, especially CYP2C19 polymorphisms, and non-genetic factors combined with the inflammatory status on the voriconazole (VRC) metabolism of the Chinese population. METHODS Clinical studies were performed by collecting more than one VRC trough concentration and C-reactive protein (CRP) level. A total of 265 blood samples were collected from 120 patients. RESULTS Results of multiple regression analyses demonstrated that CYP2C19 genotypes and albumin (Alb) level remained predictors of Cmin ss/D in patients with no to mild inflammation (R2 = 0.12, P < .001). In addition, in patients with moderate to severe inflammation, it resulted in a significant model containing factors of CRP and total bilirubin (T-Bil) levels (R2 = 0.19, P < .001). In non-clinical studies, 32 rats were divided into control and inflammatory groups, and it was found that the mean residence time (MRT(0-t) ) of VRC in the inflammatory group was significantly longer than that in the control group (P < .001), which may be due to down-regulation of mRNA and protein expression of CYP2C19 (CYP2C6 in rats) through interleukin (IL)-6/signal transducer and activator of transcription (STAT) 3 pathway. CONCLUSIONS Therefore, the effect of CYP2C19 polymorphisms on VRC metabolism may be masked by inflammatory status, which should be of more concern than CYP2C19 polymorphisms in patients with moderate to severe inflammation. Additionally, the impact of Alb and T-Bil on VRC metabolism should not be disregarded.
Collapse
Affiliation(s)
- Xu Hao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yuanyuan Li
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Ying Zhang
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Jialu Bian
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Jinxia Zhao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Yinyu Zhao
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Lei Hu
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| | - Xingxian Luo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Changqing Yang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yufei Feng
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| | - Lin Huang
- Department of Pharmacy, Peking University People's Hospital, Beijing, China
| |
Collapse
|
6
|
Boglione-Kerrien C, Zerrouki S, Le Bot A, Camus C, Marchand T, Bellissant E, Tron C, Verdier MC, Gangneux JP, Lemaitre F. Can we predict the influence of inflammation on voriconazole exposure? An overview. J Antimicrob Chemother 2023; 78:2630-2636. [PMID: 37796931 DOI: 10.1093/jac/dkad293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Abstract
Voriconazole is a triazole antifungal indicated for invasive fungal infections that exhibits a high degree of inter-individual and intra-individual pharmacokinetic variability. Voriconazole pharmacokinetics is non-linear, making dosage adjustments more difficult. Therapeutic drug monitoring is recommended by measurement of minimum plasma concentrations. Several factors are responsible for the high pharmacokinetic variability of voriconazole: age, feeding (which decreases absorption), liver function, genetic polymorphism of the CYP2C19 gene, drug interactions and inflammation. Invasive fungal infections are indeed very frequently associated with inflammation, which engenders a risk of voriconazole overexposure. Many studies have reviewed this topic in both the adult and paediatric populations, but few studies have focused on the specific point of the prediction, to evaluate the influence of inflammation on voriconazole pharmacokinetics. Predicting the impact of inflammation on voriconazole pharmacokinetics could help optimize antifungal therapy and improve patient management. This review summarizes the existing data on the influence of inflammation on voriconazole pharmacokinetics in adult populations. We also evaluate the role of C-reactive protein, the impact of inflammation on patient metabolic phenotypes, and the tools that can be used to predict the effect of inflammation on voriconazole pharmacokinetics.
Collapse
Affiliation(s)
- Christelle Boglione-Kerrien
- Rennes University Hospital, Department of Biological Pharmacology, 2, rue Henri le Guilloux, F-35000 Rennes, France
| | - Selim Zerrouki
- Rennes University Hospital, Department of Biochemistry, Rennes, France
| | - Audrey Le Bot
- Rennes University Hospital, Department of Infectious Diseases, Rennes, France
| | - Christophe Camus
- Rennes University Hospital, Department of Intensive Care Medicine, Rennes, France
| | - Tony Marchand
- Rennes University Hospital, Department of Clinical Haematology, Rennes, France
| | - Eric Bellissant
- Rennes University Hospital, Department of Biological Pharmacology, 2, rue Henri le Guilloux, F-35000 Rennes, France
- INSERM, CIC-P 1414 Clinical Investigation Centre, Rennes, France
- Rennes University Hospital, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) -UMR_S 1085, F-35000 Rennes, France
| | - Camille Tron
- Rennes University Hospital, Department of Biological Pharmacology, 2, rue Henri le Guilloux, F-35000 Rennes, France
- INSERM, CIC-P 1414 Clinical Investigation Centre, Rennes, France
- Rennes University Hospital, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) -UMR_S 1085, F-35000 Rennes, France
| | - Marie-Clémence Verdier
- Rennes University Hospital, Department of Biological Pharmacology, 2, rue Henri le Guilloux, F-35000 Rennes, France
- INSERM, CIC-P 1414 Clinical Investigation Centre, Rennes, France
- Rennes University Hospital, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) -UMR_S 1085, F-35000 Rennes, France
| | - Jean-Pierre Gangneux
- Rennes University Hospital, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) -UMR_S 1085, F-35000 Rennes, France
- Rennes University Hospital, Department of Parasitology and Mycology, National Reference Centre for Mycoses and Antifungals (LA Asp-C) and European Excellence Centre in Medical Mycology (ECMM EC), Rennes, France
| | - Florian Lemaitre
- Rennes University Hospital, Department of Biological Pharmacology, 2, rue Henri le Guilloux, F-35000 Rennes, France
- INSERM, CIC-P 1414 Clinical Investigation Centre, Rennes, France
- Rennes University Hospital, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) -UMR_S 1085, F-35000 Rennes, France
| |
Collapse
|
7
|
Muhareb A, Blank A, Meid AD, Foerster KI, Stoll F, Burhenne J, Haefeli WE, Mikus G. CYP3A and CYP2C19 Activity Determined by Microdosed Probe Drugs Accurately Predict Voriconazole Clearance in Healthy Adults. Clin Pharmacokinet 2023; 62:1305-1314. [PMID: 37505445 PMCID: PMC10450012 DOI: 10.1007/s40262-023-01287-7] [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: 06/29/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND AND OBJECTIVE Voriconazole is an important broad-spectrum anti-fungal drug with nonlinear pharmacokinetics. The aim of this single centre fixed-sequence open-label drug-drug interaction trial in healthy participants (N = 17) was to determine whether microdosed probe drugs for CYP3A and CYP2C19 reliably predict voriconazole clearance (CLVRZ). METHODS At baseline, a single oral microdose of the paradigm substrates midazolam (CYP3A) and omeprazole (CYP2C19) were given to estimate their clearances (CL). Thereafter, a single oral dose of voriconazole was administered (50, 100, 200 or 400 mg), followed by the microdosed probe drugs. RESULTS The clearances of midazolam (CLMDZ 790-2790 mL/min at baseline; 248-1316 mL/min during voriconazole) and omeprazole (CLOMZ 66.4-2710 mL/min at baseline; 30.1-1420 mL/min during voriconazole) were highly variable. CLMDZ [geometric mean ratio (GMR) 0.586 at 50 mg voriconazole decreasing to GMR 0.196 at 400 mg voriconazole] and CLOMZ (GMR 0.590 at 50 mg decreasing to GMR 0.166 at 400 mg) were reduced with higher voriconazole doses. CLMDZ was linearly correlated with CLVRZ (slope 1.458; adjusted R2 0.528) as was CLOMZ (slope 0.807; adjusted R2 0.898). Multiple linear regression resulted in an adjusted R2 of 0.997 for the relationship CLVRZ ~ log CLOMZ + log CLMDZ using data during voriconazole treatment and an adjusted R2 of 0.997 for the relationship CLVRZ ~ log CLOMZ + log CLMDZ + voriconazole dose, using baseline data for CLMDZ and CLOMZ. CONCLUSION Microdosed midazolam and omeprazole accurately described and predicted total CLVRZ TRIAL REGISTRATION: EudraCT No: 2020-001017-20, registered on March 5th, 2020. DRKS: DRKS00022547, registered on August 6th, 2020.
Collapse
Affiliation(s)
- Amin Muhareb
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Antje Blank
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Andreas D Meid
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Kathrin I Foerster
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Felicitas Stoll
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Jürgen Burhenne
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Walter E Haefeli
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany
| | - Gerd Mikus
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
| |
Collapse
|
8
|
Zhou L, Li M, Li H, Guo Z, Gao Y, Zhang H, Qin F, Sang Z, Xing Q, Cheng L, Cao W. Establishment of a mathematical prediction model for voriconazole stable maintenance dose: a prospective study. Front Cell Infect Microbiol 2023; 13:1157944. [PMID: 37565064 PMCID: PMC10410275 DOI: 10.3389/fcimb.2023.1157944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 07/11/2023] [Indexed: 08/12/2023] Open
Abstract
Background In patients with invasive fungal infection (IFI), the steady-state serum trough concentration (C min) of voriconazole (VCZ) is highly variable and can lead to treatment failure (C min < 0.5 mg/L) and toxicity (C min ≥ 5.0 mg/L). However, It remains challenging to determine the ideal maintenance dose to achieve the desired C min level quickly. Aims This randomized, prospective observational single-center study aimed to identify factors affecting VCZ-C min and maintenance dose and create an algorithmic model to predict the necessary maintenance dose. MeThe study enrolled 306 adult IFI patients, split into two groups: non-gene-directed (A) (where CYP2C19 phenotype is not involved in determining VCZ dose) and gene-directed (B) (where CYP2C19 phenotype is involved in determining VCZ dose). Results Results indicated that CYP2C19 genetic polymorphisms might significantly impact VCZ loading and maintenance dose selection. CYP2C19 phenotype, C-reaction protein (CRP), and average daily dose/body weight were significant influencers on VCZ-C min, while CYP2C19 phenotype, CRP, and body weight significantly impacted VCZ maintenance dose. A feasible predictive formula for VCZ stable maintenance dose was derived from the regression equation as a maintenance dose (mg) =282.774-0.735×age (year)+2.946×body weight(Kg)-19.402×CYP2C19 phenotype (UM/RM/NM:0, IM:1, PM:2)-0.316×CRP (mg/L) (p < 0.001). Discussion DiThis formula may serve as a valuable supplement to the Clinical Pharmacogenetics Implementation Consortium (CPIC®) guideline for CYP2C19 and VCZ therapy, especially for IFI patients with highly variable inflammatory cytokines during VCZ therapy.
Collapse
Affiliation(s)
- Lijuan Zhou
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Min Li
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Huihong Li
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Zhiqiang Guo
- Department of Hematology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Yanqiu Gao
- Department of Respiratory Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Hua Zhang
- Department of Respiratory Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Fuli Qin
- Department of Hematology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Zhihui Sang
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
- College of Pharmacy, Xinxiang Medical University, Xinxiang, Henan, China
| | - Qinghe Xing
- Institutes of Biomedical Sciences and Children’s Hospital, Fudan University, Shanghai, China
| | - Long Cheng
- College of Nursing, Chifeng University, Chifeng, Inner Mongolia, China
| | - Wei Cao
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
9
|
Voriconazole exposure is influenced by inflammation: A population pharmacokinetic model. Int J Antimicrob Agents 2023; 61:106750. [PMID: 36758777 DOI: 10.1016/j.ijantimicag.2023.106750] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 02/10/2023]
Abstract
BACKGROUND Voriconazole is an antifungal drug used for the treatment of invasive fungal infections. Due to highly variable drug exposure, therapeutic drug monitoring (TDM) has been recommended. TDM may be helpful to predict exposure accurately, but covariates, such as severe inflammation, that influence the metabolism of voriconazole have not been included in the population pharmacokinetic (popPK) models suitable for routine TDM. OBJECTIVES To investigate whether the effect of inflammation, reflected by C-reactive protein (CRP), could improve a popPK model that can be applied in clinical care. PATIENTS AND METHODS Data from two previous studies were included in the popPK modelling. PopPK modelling was performed using Edsim++. Different popPK models were compared using Akaike Information Criterion and goodness-of-fit plots. RESULTS In total, 1060 voriconazole serum concentrations from 54 patients were included in this study. The final model was a one-compartment model with non-linear elimination. Only CRP was a significant covariate, and was included in the final model and found to affect the maximum rate of enzyme activity (Vmax). For the final popPK model, the mean volume of distribution was 145 L [coefficient of variation percentage (CV%)=61%], mean Michaelis-Menten constant was 5.7 mg/L (CV%=119%), mean Vmax was 86.4 mg/h (CV%=99%) and mean bioavailability was 0.83 (CV%=143%). Internal validation using bootstrapping resulted in median values close to the population parameter estimates. CONCLUSIONS This one-compartment model with non-linear elimination and CRP as a covariate described the pharmacokinetics of voriconazole adequately.
Collapse
|
10
|
Wu Y, Lv C, Wu D, Qi J, Cai R, Zhou S, Li C, Wei Y, Liu T. Dosage optimization of voriconazole in children with haematological malignancies based on population pharmacokinetics. J Clin Pharm Ther 2022; 47:2245-2254. [PMID: 36345158 DOI: 10.1111/jcpt.13801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/30/2022] [Accepted: 10/18/2022] [Indexed: 11/10/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVES Voriconazole has a complex pharmacokinetic profile and exhibits different pharmacokinetic characteristics in adults and children. Nevertheless, few studies have been conducted on the population pharmacokinetics (PPK) of voriconazole in children with haematological malignancies. This study aims to build a PPK model and propose a suitable voriconazole treatment scheme for children with haematological malignancies. METHODS We retrospectively collected 146 samples from 67 children aged from 1.08 to 17.92 years. The PPK model was established using nonlinear mixed effects modelling (NONMEM). Dosage simulations were conducted on the basis of the final model's covariates. RESULTS AND DISCUSSION Data were fully characterized by a one-compartment model with first-order absorption and elimination. The weight (WT), CYP2C19 phenotype, and Albumin (ALB) were notable covariates for clearance (CL). The typical values of CL, the volume of distribution (V), and oral bioavailability (F) were 2.29 L/h, 76 L, and 0.902, respectively. The proposed doses for different CYP2C19 genotypes were presented in this ranking: EM (extensive metabolizer) > IM (intermediate metabolizer) > PM (poor metabolizer). Furthermore, higher dosages for light WT patients were recommended while lower ALB levels required lower doses. The probability of achieving the target (PTA) for the recommended doses ranged from 72.2% to 99%. WHAT IS NEW AND CONCLUSION We successfully built a voriconazole PPK model for children with hematologic malignancies. Dosing regimens were developed for different patients based on the final model, which could enhance the rational use of voriconazole in children with haematological malignancies.
Collapse
Affiliation(s)
- Yun Wu
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chunle Lv
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Dongni Wu
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jianying Qi
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Rongda Cai
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Siru Zhou
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chengxin Li
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Yinyi Wei
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Taotao Liu
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| |
Collapse
|
11
|
Maeda Y, Tanaka R, Tatsuta R, Takano K, Hashimoto T, Ogata M, Hiramatsu K, Itoh H. Impact of Inflammation on Intra-individual Variation in Trough Voriconazole Concentration in Patients with Hematological Malignancies. Biol Pharm Bull 2022; 45:1084-1090. [DOI: 10.1248/bpb.b22-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Yu Maeda
- Department of Clinical Pharmacy, Oita University Hospital
| | - Ryota Tanaka
- Department of Clinical Pharmacy, Oita University Hospital
| | | | | | - Takehiro Hashimoto
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine
| | - Masao Ogata
- Department of Hematology, Oita University Hospital
| | - Kazufumi Hiramatsu
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine
| | - Hiroki Itoh
- Department of Clinical Pharmacy, Oita University Hospital
| |
Collapse
|