Frédéric Gaspar, Celestin Jacost-Descombes, Pauline Gosselin, Jean-Luc Reny, Monia Guidi, Chantal Csajka, Caroline Samer, Youssef Daali, Jean Terrier
{"title":"Improving Understanding of Fexofenadine Pharmacokinetics to Assess Pgp Phenotypic Activity in Older Adult Patients Using Population Pharmacokinetic Modeling.","authors":"Frédéric Gaspar, Celestin Jacost-Descombes, Pauline Gosselin, Jean-Luc Reny, Monia Guidi, Chantal Csajka, Caroline Samer, Youssef Daali, Jean Terrier","doi":"10.1007/s40262-024-01470-4","DOIUrl":"10.1007/s40262-024-01470-4","url":null,"abstract":"<p><strong>Background and objective: </strong>Fexofenadine is commonly used as a probe substrate to assess P-glycoprotein (Pgp) activity. While its use in healthy volunteers is well documented, data in older adult and polymorbid patients are lacking. Age- and disease-related physiological changes are expected to affect the pharmacokinetics of fexofenadine. This study aims to investigate the pharmacokinetics of fexofenadine in hospitalized older adult patients as a potential marker of Pgp activity, using data from the OptimAT study (ClinicalTrials.gov identifier: NCT03477331).</p><p><strong>Methods: </strong>Population pharmacokinetic (popPK) modeling was conducted using data from 449 hospitalized patients with a median age of 71 years (range: 25-97) and 10 healthy volunteers (median age: 23 years, range: 20-36). Fexofenadine plasma concentrations were analyzed using a refined two-compartment model with sequential zero/first-order absorption, while investigating the impact of covariates such as age, renal function, and Pgp inhibitors on fexofenadine pharmacokinetics.</p><p><strong>Results: </strong>Age, renal insufficiency, and Pgp inhibitors significantly influenced fexofenadine exposure. Renal function was a key factor, with AUC<sub>0-6</sub> increasing by 79% in mild-to-moderate and by 154% in moderate-to-severe renal impairment compared with normal renal function. Co-administration of Pgp inhibitors led to a 35% increase in AUC<sub>0-6</sub>. Across chronic kidney disease (CKD) stages, age, and Pgp inhibitor status, fexofenadine AUC<sub>0-6</sub> ratio ranged from 1.15 (stage 1, 20-30 years) to 4.59 (stage 5, 91-100 years, with Pgp inhibitors), relative to a reference subject of 20 years, normal renal function, and no Pgp inhibitors.</p><p><strong>Conclusion: </strong>Clinicians should consider the risk of Pgp substrate accumulation in older adults, particularly those with advanced renal impairment. We propose typical values stratified by age and renal function to assist in interpreting Pgp phenotyping using fexofenadine exposure, thereby supporting drug optimization in this population. Further studies are needed to explore underlying mechanisms, such as reduced Pgp activity or expression.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"275-283"},"PeriodicalIF":4.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782438/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142964055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physiologically Based Pharmacokinetic Model of Cefotaxime in Patients with Impaired Renal Function.","authors":"Fatima Zbib, Anthéa Deschamps, Lionel Velly, Olivier Blin, Romain Guilhaumou, Florence Gattacceca","doi":"10.1007/s40262-024-01469-x","DOIUrl":"10.1007/s40262-024-01469-x","url":null,"abstract":"<p><strong>Background: </strong>Cefotaxime is a widely prescribed cephalosporin antibiotic used to treat various infections. It is mainly eliminated unchanged by the kidney through tubular secretion and glomerular filtration. Therefore, a reduction of kidney function may increase exposure to the drug and induce toxic side effects.</p><p><strong>Objectives: </strong>The objectives of this study were to develop a physiologically based pharmacokinetic (PBPK) model of cefotaxime in healthy European adults, to mechanistically describe the impact of chronic kidney disease (CKD) on cefotaxime pharmacokinetics, and to assess the applicability of the model to patients requiring intensive care.</p><p><strong>Methods: </strong>Using PK-Sim<sup>®</sup> software, we developed a PBPK model for cefotaxime, including basolateral and apical renal transporters and renal esterases, in healthy subjects and then extrapolated to patients with CKD by incorporating pathophysiological changes and reductions in activity of drug-metabolizing enzymes and transporters into the model. We then evaluated the predictive performance of the model in patients requiring intensive care using clinical routine data.</p><p><strong>Results: </strong>Model predictions were considered adequate in healthy subjects and patients with CKD, with predicted-to-observed area under the curve ratios within the two-fold acceptance criterion. Mean prediction error and mean absolute prediction error did not exceed ± 30 and 30%, respectively, except in patients with stage 4 CKD, where they were 70.5 and 75.6%, respectively. The model showed good predictive performance when applied to patients requiring intensive care, but its clinical applicability in this population needs to be further evaluated.</p><p><strong>Conclusion: </strong>We successfully developed whole-body PBPK models to predict cefotaxime pharmacokinetics in different populations. These models represent an additional step toward improving personalized cefotaxime dosing regimens in vulnerable populations.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":"64 2","pages":"257-273"},"PeriodicalIF":4.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In Hwan Jeong, Sooyoon Ryu, Nayoung Han, Christine E Staatz, In-Hwan Baek
{"title":"Population Pharmacokinetics of Telmisartan in Healthy Subjects and Hypertensive Patients.","authors":"In Hwan Jeong, Sooyoon Ryu, Nayoung Han, Christine E Staatz, In-Hwan Baek","doi":"10.1007/s40262-024-01471-3","DOIUrl":"10.1007/s40262-024-01471-3","url":null,"abstract":"<p><strong>Background and objective: </strong>Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.</p><p><strong>Methods: </strong>Relevant literature was identified by a systematic approach. Eighteen studies were selected for analysis, which included 394 healthy subjects receiving single doses of telmisartan, 190 healthy subjects receiving repeated doses, along with 295 hypertensive patients receiving repeated doses. Pooled population PK analysis incorporated 20 mean concentration-time profiles from 14 studies. Meta-analyses were performed using OpenMeta-Analyst, and population PK modeling was performed using NONMEM<sup>®</sup>.</p><p><strong>Results: </strong>Repeated telmisartan doses increased peak plasma concentrations. However, other noncompartmental PK parameters remained consistent across healthy and hypertensive populations. Telmisartan PKs were best described using a two-compartment model with first-order absorption and elimination in pooled analysis. Typical PK parameter values for apparent clearance (CL/F), apparent central and peripheral volumes of distribution (V<sub>1</sub>/F and V<sub>2</sub>/F), absorption rate constant (k<sub>a</sub>), and absorption lag time were 18.3 L/h, 20.7 L, 360 L, 0.183 h<sup>-1</sup> and 0.228 h, respectively. Interindividual variabilities in CL/F, V<sub>1</sub>/F, and k<sub>a</sub> were 84%, 122%, and 106%, respectively. Covariate analysis revealed significantly lower CL/F (63.7%) and V<sub>1</sub>/F (90.3%) values in hypertensive patients than healthy subjects.</p><p><strong>Conclusion: </strong>These findings quantified the variability of telmisartan PK profile and highlighted the differences between healthy individuals and hypertensive patients, suggesting the need for optimized dosage strategies to improve therapeutic outcomes.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"285-295"},"PeriodicalIF":4.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142977809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angelique E Boutzoukas, Stephen J Balevic, Marion Hemmersbach-Miller, Patricia L Winokur, Kenan Gu, Austin W Chan, Michael Cohen-Wolkowiez, Thomas Conrad, Guohua An, Carl M J Kirkpatrick, Geeta K Swamy, Emmanuel B Walter, Kenneth E Schmader, Cornelia B Landersdorfer
{"title":"Population Pharmacokinetics of Meropenem Across the Adult Lifespan.","authors":"Angelique E Boutzoukas, Stephen J Balevic, Marion Hemmersbach-Miller, Patricia L Winokur, Kenan Gu, Austin W Chan, Michael Cohen-Wolkowiez, Thomas Conrad, Guohua An, Carl M J Kirkpatrick, Geeta K Swamy, Emmanuel B Walter, Kenneth E Schmader, Cornelia B Landersdorfer","doi":"10.1007/s40262-024-01465-1","DOIUrl":"10.1007/s40262-024-01465-1","url":null,"abstract":"<p><strong>Background and objective: </strong>We conducted an opportunistic pharmacokinetic study to evaluate the population pharmacokinetics of meropenem, an antimicrobial commonly used to treat Gram-negative infections in adults of different ages, including older adults, and determined optimal dosing regimens.</p><p><strong>Methods: </strong>A total of 99 patients were included. The population pharmacokinetic models used had two compartments: zero-order input and linear elimination. Covariates evaluated included renal function, body size, age, sex, vasopressor use, and frailty, using the Canadian Study of Health and Aging Clinical Frailty score (in patients aged ≥ 65 years). We simulated optimal dosing regimens by renal function and by age group to achieve therapeutic target attainment.</p><p><strong>Results: </strong>Participants' ages ranged from 20 to 95 years, with an average age of 57.4 years, and 22% (23/103) were aged ≥ 75 years. Creatinine clearance had the greatest impact on the clearance of meropenem. After accounting for renal function and body size, no other covariates resulted in a significant impact on the pharmacokinetics of meropenem. Simulations indicated that patients with normal renal function achieved ≥ 90% target attainment only for organisms with minimum inhibitory concentrations (MICs) ≤ 4 mg/L using the least strict surrogate target of unbound concentration > MIC (fT<sub>>MIC</sub>) for 40% of the dosing interval. For the conservative target fT<sub>>4xMIC</sub> for 100% of the dosing interval, extended infusion may be required even for organisms with MICs up to 0.25 mg/L. Patients with renal impairment could achieve ≥ 90% target attainment for more resistant organisms, but extended infusion did not increase the MICs up to which target attainment could be achieved.</p><p><strong>Conclusions: </strong>Meropenem dosing should be based on renal function rather than age. For patients without renal impairment, extended infusion may increase the probability of target attainment.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"229-241"},"PeriodicalIF":4.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivan Tiryannik, Aki T Heikkinen, Iain Gardner, Anthonia Onasanwo, Masoud Jamei, Thomas M Polasek, Amin Rostami-Hodjegan
{"title":"Static Versus Dynamic Model Predictions of Competitive Inhibitory Metabolic Drug-Drug Interactions via Cytochromes P450: One Step Forward and Two Steps Backwards.","authors":"Ivan Tiryannik, Aki T Heikkinen, Iain Gardner, Anthonia Onasanwo, Masoud Jamei, Thomas M Polasek, Amin Rostami-Hodjegan","doi":"10.1007/s40262-024-01457-1","DOIUrl":"10.1007/s40262-024-01457-1","url":null,"abstract":"<p><strong>Background: </strong>Predicting metabolic drug-drug interactions (DDIs) via cytochrome P450 enzymes (CYP) is essential in drug development, but controversy has reemerged recently about whether in vitro-in vivo extrapolation (IVIVE) using static models can replace dynamic models for some regulatory filings and label recommendations.</p><p><strong>Objective: </strong>The aim of this study was to determine if static and dynamic models are equivalent for the quantitative prediction of metabolic DDIs arising from competitive CYP inhibition.</p><p><strong>Methods: </strong>Drug parameter spaces were varied to simulate 30,000 DDIs between hypothetical substrates and inhibitors of CYP3A4. Predicted area under the plasma concentration-time profile ratios for substrates (AUCr = AUC<sub>(presence of precipitant)</sub>/AUC<sub>(absence of precipitant)</sub>) were compared between dynamic simulations (Simcyp<sup>®</sup> V21) and corresponding static calculations, giving an inter-model discrepancy ratio (IMDR = AUCr<sub>dynamic</sub>/AUCr<sub>static</sub>). Dynamic simulations were conducted using a 'population' representative and a 'vulnerable patient' representative with maximal concentration (C<sub>max</sub>) or average steady-state concentration (C<sub>avg,ss</sub>) as the inhibitor driver concentrations. IMDRs outside the interval 0.8-1.25 were defined as discrepancy between models.</p><p><strong>Results: </strong>The highest rate of IMDR <0.8 and IMDR >1.25 discrepancies in the 'population' representative was 85.9% and 3.1%, respectively, when using C<sub>avg,ss</sub> as the inhibitor driver concentration. Using the 'vulnerable patient' representative showed the highest rate of IMDR >1.25 discrepancies at 37.8%.</p><p><strong>Conclusion: </strong>Static models are not equivalent to dynamic models for predicting metabolic DDIs via competitive CYP inhibition across diverse drug parameter spaces, particularly for vulnerable patients. Caution is warranted in drug development if static IVIVE approaches are used alone to evaluate metabolic DDI risks.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"155-170"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142799569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haeyoung Zhang, Rita Humeniuk, Sean Regan, Yiannis Koullias, Santosh Davies, Amy John, Gong Shen, Deqing Xiao, Robert H Hyland, Helen Winter, Aryun Kim
{"title":"Clinical Pharmacokinetics and Safety of Remdesivir in Phase I Participants with Varying Degrees of Renal Impairment.","authors":"Haeyoung Zhang, Rita Humeniuk, Sean Regan, Yiannis Koullias, Santosh Davies, Amy John, Gong Shen, Deqing Xiao, Robert H Hyland, Helen Winter, Aryun Kim","doi":"10.1007/s40262-024-01453-5","DOIUrl":"10.1007/s40262-024-01453-5","url":null,"abstract":"<p><strong>Background and objective: </strong>Remdesivir is a nucleotide analog prodrug approved for the treatment of COVID-19. This study evaluated the pharmacokinetics and safety of remdesivir and its metabolites (GS-704277 and GS-441524) in participants with varying degrees of renal impairment. Results of this phase I study, along with those of a phase III study, contributed to an extension of indication for remdesivir in the USA and Europe for use in patients with COVID-19 with all stages of renal impairment, including those on dialysis, with no dose adjustment.</p><p><strong>Methods: </strong>This phase I, open-label, parallel-group study enrolled participants who had mild (n = 12), moderate (n = 11), or severe (n = 10) renal impairment or kidney failure (n = 6 with dialysis, n = 4 without dialysis). Healthy matched controls were enrolled as reference. Remdesivir was given as single intravenous doses of 100 mg (mild and moderate renal impairment), 40 mg (severe renal impairment, kidney failure predialysis), and 20 mg (kidney failure postdialysis and without dialysis).</p><p><strong>Results: </strong>Plasma pharmacokinetics of remdesivir were not affected by mild, moderate, or severe renal impairment or kidney failure. Geometric least squares mean ratios ranged from 0.8 to 1.2 for remdesivir area under the plasma concentration-time curve (AUC). GS-704277 AUC was up to 2.8-fold higher and GS-441524 AUC up to 7.9-fold higher in participants with renal impairment. Adverse events and laboratory abnormalities were consistent with the existing safety profile for remdesivir.</p><p><strong>Conclusions: </strong>Observed pharmacokinetics for remdesivir and its metabolites in participants with renal impairment aligned with expected changes based on known routes of elimination. Remdesivir was generally safe and well tolerated in participants with renal impairment, and no new safety concerns were identified. These results, along with those from the phase III study in patients with COVID-19 with severely reduced kidney function, support the use of remdesivir in patients with any degree of renal impairment with no dose adjustments.</p><p><strong>Trial registration: </strong>EudraCT no. 2020-003441-10; 9 July 2020.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"67-78"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daping Zhang, Adekemi Taylor, Jie Janet Zhao, Christopher J Endres, Ariel Topletz-Erickson
{"title":"Correction: Population Pharmacokinetic Analysis of Tucatinib in Healthy Participants and Patients with Breast Cancer or Colorectal Cancer.","authors":"Daping Zhang, Adekemi Taylor, Jie Janet Zhao, Christopher J Endres, Ariel Topletz-Erickson","doi":"10.1007/s40262-024-01458-0","DOIUrl":"10.1007/s40262-024-01458-0","url":null,"abstract":"","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"171-172"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762418/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142806287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marije E Otto, Katelijne V van der Heijden, Jan W Schoones, Michiel J van Esdonk, Laura G J M Borghans, Gabriel E Jacobs, J G Coen van Hasselt
{"title":"Clinical Pharmacokinetics of Psilocin After Psilocybin Administration: A Systematic Review and Post-Hoc Analysis.","authors":"Marije E Otto, Katelijne V van der Heijden, Jan W Schoones, Michiel J van Esdonk, Laura G J M Borghans, Gabriel E Jacobs, J G Coen van Hasselt","doi":"10.1007/s40262-024-01454-4","DOIUrl":"10.1007/s40262-024-01454-4","url":null,"abstract":"<p><strong>Background and objective: </strong>Psilocybin is currently being extensively studied as a potential therapeutic agent for multiple psychiatric disorders. Here, a systematic literature review of all published pharmacokinetic data on the pharmacologically active metabolite of psilocybin, psilocin, is presented.</p><p><strong>Methods: </strong>The review includes clinical studies that reported pharmacokinetic data and/or parameters after psilocybin administration in humans. In addition, raw pharmacokinetic data from these studies was requested and/or extracted to further compare results across studies.</p><p><strong>Results: </strong>In total, 309 publications were identified, of which 19 publications were ultimately included, which covered 12 unique clinical datasets. Except for one study that investigated intravenous psilocybin, all included studies administered psilocybin orally. Psilocybin acts as a pro-drug and is rapidly absorbed and transformed to psilocin after oral administration. In the majority of studies, unconjugated psilocin was measured while some also measured conjugated and total concentrations. Psilocin's biphasic concentration-time profiles demonstrates fast and extensive disposition with an apparent distribution volume of 505-1267 L and a terminal half-life of 1.23-4.72 h. Only 1.5-3.4% of the dose is excreted as psilocin in urine. Psilocin is mainly transformed to 4-hydroxyindole-3-acetic acid and in less amounts to conjugated psilocin, where 4-hydroxyindole-3-acetic acid formation may occur prior to systemic psilocin absorption. Information on the absolute bioavailability of psilocin was limited, and estimated at 55% in one study. No covariates nor food effects have been reported, based on four studies with known fasting status.</p><p><strong>Conclusions: </strong>Overall, we found the pharmacokinetic parameters of psilocin to be consistent between studies. This review may guide the further clinical development of psilocybin-based therapies.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"53-66"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Echinocandins Pharmacokinetics: A Comprehensive Review of Micafungin, Caspofungin, Anidulafungin, and Rezafungin Population Pharmacokinetic Models and Dose Optimization in Special Populations.","authors":"Marta Albanell-Fernández","doi":"10.1007/s40262-024-01461-5","DOIUrl":"10.1007/s40262-024-01461-5","url":null,"abstract":"<p><p>In recent years, many population pharmacokinetic (popPK) models have been developed for echinocandins to better understand the pharmacokinetics (PK) of these antifungals. This comprehensive review aimed to summarize popPK models of echinocandins (micafungin, caspofungin, anidulafungin, and rezafungin), by focusing on dosage optimization to maximize the probability of attaining the PK/PD target proposed in special populations. A search in PubMed, Embase, Web of Science, and Scopus, supplemented by the bibliography of relevant articles, was conducted from inception to March 2024, including both observational and prospective trials. A total of 1126 articles were identified, 47 of them were included in the review (22 for micafungin, 13 for caspofungin, 9 for anidulafungin, and 3 for rezafungin). A two-compartment model was more frequently used to describe the PK parameters of echinocandin (78.7% of developed models), although more complex structural models with three and four compartments have also been developed. The covariates to estimate the PK parameters such as clearance (CL) and volume of distribution (V<sub>d</sub>) differed between models. Weight total (WT) was the most frequently reported to be a significant predictor for both parameters, especially for estimating the CL in pediatrics. The PD parameter most widely reported assessing the drug exposure-efficacy relationship was the area under the concentration-time curve to minimum inhibitory concentration (MIC) ratio (AUC<sub>0-24</sub>/MIC) with different targets proposed for each echinocandin. In certain populations such as patients that are critically ill, obese, receiving extracorporeal membrane oxygenation (ECMO) and/or continuous renal replacement therapy (CRRT), or pediatric patients and/or patients with cancer or that are immunocompromised, the fixed dosing strategies recommended in the drug prescribing information may not reach the PK/PD target. For these populations, different strategies have been proposed, such as a dosing regimen based on body weight or increasing the loading and/or maintenance dose. Despite echinocandins' favorable safety profile and predictable PK, certain groups at risk of suboptimal drug exposure can benefit from therapeutic drug monitoring (TDM) to prevent clinical failures. Numerous popPK models of echinocandins have been developed. However, an external validation of the suggested dosing regimens in conjunction with an analysis of population subgroups should be conducted before implementing a popPK model in clinical practice.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"27-52"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ronilda D'Cunha, Tofial Azam, Jasmina Kalabic, Toni Anschutz, Adi Lahat, Yinuo Pang
{"title":"Evaluation of the Effect of Risankizumab on the Pharmacokinetics of Cytochrome P450 Substrates in Patients with Moderately to Severely Active Ulcerative Colitis or Crohn's Disease.","authors":"Ronilda D'Cunha, Tofial Azam, Jasmina Kalabic, Toni Anschutz, Adi Lahat, Yinuo Pang","doi":"10.1007/s40262-024-01462-4","DOIUrl":"10.1007/s40262-024-01462-4","url":null,"abstract":"<p><strong>Background and objective: </strong>The objective of this study was to characterize the effects of risankizumab on the pharmacokinetics of cytochrome P450 (CYP) 1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A substrates in patients with moderately to severely active Crohn's disease (CD) or ulcerative colitis (UC) using a cocktail approach.</p><p><strong>Methods: </strong>Patients with CD or UC (n = 20) received single doses of probe substrates for CYP1A2 (caffeine 100 mg), CYP2C9 (warfarin 10 mg), CYP2C19 (omeprazole 20 mg), CYP2D6 (metoprolol 50 mg), and CYP3A (midazolam 2 mg) before and after intravenous infusions of risankizumab 1800 mg once every 4 weeks for four doses. Serial blood samples were collected for determination of concentrations of the CYP probe drugs and metabolites with and without risankizumab. Trough samples for risankizumab were collected at sparse timepoints.</p><p><strong>Results: </strong>The point estimates and 90% confidence intervals for maximum plasma concentration (C<sub>max</sub>) and the area under the plasma concentration-time curve from time zero to infinity (AUC<sub>inf</sub>) ratios for the CYP probe substrates administered with risankizumab versus without risankizumab were mostly within the 0.8-1.25 equivalence bounds, except for omeprazole and caffeine. While the upper 90% CI for caffeine AUC<sub>inf</sub> exceeded 1.25, the point estimate was a modest 1.13 and the C<sub>max</sub> ratio was well within 0.8-1.25. For omeprazole, while the lower bound of the 90% CI for AUC<sub>t</sub> (0.715) and AUC<sub>inf</sub> (0.624) extended slightly below the default equivalence limit, the exposures of its metabolite, 5-hydroxy-omeprazole, formed via CYP2C19, were comparable before and after risankizumab treatment, indicating a limited impact of risankizumab. No new safety issues were identified in this study.</p><p><strong>Conclusion: </strong>The totality of data indicated a lack of clinically relevant impact of risankizumab on the evaluated CYP enzymes in patients with CD/UC.</p><p><strong>Clinicaltrials: </strong>GOV: NCT04254783.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":"143-154"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}