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Courville J, Roupe K, Arold G. Re-discover the value of protein binding assessments in hepatic and renal impairment studies and its contributions in drug labels and dose decisions. Clin Transl Sci 2024; 17:e13810. [PMID: 38716900 PMCID: PMC11077687 DOI: 10.1111/cts.13810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 03/05/2024] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
One of the key pharmacokinetic properties of most small molecule drugs is their ability to bind to serum proteins. Unbound or free drug is responsible for pharmacological activity while the balance between free and bound drug can impact drug distribution, elimination, and other safety parameters. In the hepatic impairment (HI) and renal impairment (RI) clinical studies, unbound drug concentration is often assessed; however, the relevance and impact of the protein binding (PB) results is largely limited. We analyzed published clinical safety and pharmacokinetic studies in subjects with HI or RI with PB assessment up to October 2022 and summarized the contribution of PB results on their label dose recommendations. Among drugs with HI publication, 32% (17/53) associated product labels include PB results in HI section. Of these, the majority (9/17, 53%) recommend dose adjustments consistent with observed PB change. Among drugs with RI publication, 27% (12/44) of associated product labels include PB results in RI section with the majority (7/12, 58%) recommending no dose adjustment, consistent with the reported absence of PB change. PB results were found to be consistent with a tailored dose recommendation in 53% and 58% of the approved labels for HI and RI section, respectively. We further discussed the interpretation challenges of PB results, explored treatment decision factors including total drug concentration, exposure-response relationships, and safety considerations in these case examples. Collectively, comprehending the alterations in free drug levels in HI and RI informs treatment decision through a risk-based approach.
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Affiliation(s)
- Jocelyn Courville
- Clinical Pharmacology—Drug Development SolutionICON plcBlue BellPennsylvaniaUSA
| | - Kathryn Roupe
- Clinical Pharmacology, PharmacokineticsWorldwide Clinical TrialsAustinTexasUSA
| | - Gerhard Arold
- Clinical Pharmacology—Drug Development SolutionICON plcLangenGermany
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2
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Teo JQM, Chang HY, Tan SH, Tang CY, Ong RTH, Ko KKK, Chung SJ, Tan TT, Kwa ALH. Comparative Activities of Novel Therapeutic Agents against Molecularly Characterized Clinical Carbapenem-Resistant Enterobacterales Isolates. Microbiol Spectr 2023; 11:e0100223. [PMID: 37184408 PMCID: PMC10269625 DOI: 10.1128/spectrum.01002-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/01/2023] [Indexed: 05/16/2023] Open
Abstract
Limited treatment options exist for the treatment of carbapenem-resistant Enterobacterales (CRE) bacteria. Fortunately, there are several recently approved antibiotics indicated for CRE infections. Here, we examine the in vitro activity of various novel agents (eravacycline, plazomicin, ceftazidime-avibactam, imipenem-relebactam, and meropenem-vaborbactam) and comparators (tigecycline, amikacin, levofloxacin, fosfomycin, polymyxin B) against 365 well-characterized CRE clinical isolates with various genotypes. Nonduplicate isolates collected from the largest public health hospital in Singapore between 2007 and 2020 were subjected to antimicrobial susceptibility testing (broth microdilution or antibiotic gradient test strips). Susceptibilities were defined using Clinical and Laboratory Standards Institute (CLSI) or Food and Drug Administration (FDA) interpretative criteria. Sequence types and resistance mechanisms were characterized using short-read whole-genome sequencing. Overall, tigecycline and plazomicin exhibited the highest susceptibility rates (89.6% and 80.8%, respectively). However, the tigecycline susceptibility breakpoint utilized here may be outdated in view of prevailing pharmacokinetic-pharmacodynamic (PK/PD) data. Susceptibility varied by carbapenemase genotype; the β-lactam/β-lactamase inhibitor combinations were equally active (92.3 to 99.2% susceptible) against KPC producers, but only ceftazidime-avibactam retained high susceptibility (98.7%) against OXA-48-like producers. Against metallo-β-lactamase producers, only plazomicin exhibited moderate activity (77.0% susceptible). Aminoglycoside activity was also influenced by carbapenemase genotypes. This work provides an insight into the comparative activity and presumptive utility of novel agents in this geographic region. IMPORTANCE This study determined the susceptibilities of carbapenem-resistant Enterobacterales isolates to various novel antimicrobial agents (ceftazidime-avibactam, imipenem-relebactam, meropenem-vaborbactam, eravacycline, and plazomicin). Whole-genome sequencing was performed for all strains. Our study findings provide insights into the comparative activities of novel agents in this geographic region. Plazomicin and ceftazidime-avibactam exhibited the lowest nonsusceptibility rates and may be considered promising agents in the management of carbapenem-resistant Enterobacterales infections. We note also that antibiotic activity is influenced by genotypes and that understanding the geographic region's molecular epidemiology could aid in the definition of the presumptive utility of novel agents and contribute to antibiotic decision-making.
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Affiliation(s)
- Jocelyn Qi-Min Teo
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
| | - Hong Yi Chang
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
- Department of Clinical Translational Research, Singapore General Hospital, Singapore, Singapore
| | - Si Hui Tan
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
| | - Cheng Yee Tang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Karrie Kwan Ki Ko
- Department of Microbiology, Singapore General Hospital, Singapore, Singapore
| | - Shimin Jasmine Chung
- Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore
| | - Thuan Tong Tan
- Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore
| | - Andrea Lay-Hoon Kwa
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
- Singhealth Duke-NUS Medicine Academic Clinical Programme, Singapore, Singapore
- Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore, Singapore
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Jongmans C, Muller AE, Van Den Broek P, Cruz De Almeida BDM, Van Den Berg C, Van Oldenrijk J, Bos PK, Koch BCP. An Overview of the Protein Binding of Cephalosporins in Human Body Fluids: A Systematic Review. Front Pharmacol 2022; 13:900551. [PMID: 35837288 PMCID: PMC9274189 DOI: 10.3389/fphar.2022.900551] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 05/18/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: Protein binding can diminish the pharmacological effect of beta-lactam antibiotics. Only the free fraction has an antibacterial effect. The aim of this systematic literature review was to give an overview of the current knowledge of protein binding of cephalosporins in human body fluids as well as to describe patient characteristics influencing the level of protein binding. Method: A systematic literature search was performed in Embase, Medline ALL, Web of Science Core Collection and the Cochrane Central Register of Controlled Trials with the following search terms: “protein binding,” “beta-lactam antibiotic,” and “body fluid.” Only studies were included where protein binding was measured in humans in vivo. Results: The majority of studies reporting protein binding were performed in serum or plasma. Other fluids included pericardial fluid, blister fluid, bronchial secretion, pleural exudate, wound exudate, cerebrospinal fluid, dialysate, and peritoneal fluid. Protein binding differs between diverse cephalosporins and between different patient categories. For cefazolin, ceftriaxone, cefpiramide, and cefonicid a non-linear pattern in protein binding in serum or plasma was described. Several patient characteristics were associated with low serum albumin concentrations and were found to have lower protein binding compared to healthy volunteers. This was for critically ill patients, dialysis patients, and patients undergoing cardiopulmonary bypass during surgery. While mean/median percentages of protein binding are lower in these patient groups, individual values may vary considerably. Age is not likely to influence protein binding by itself, however limited data suggest that lower protein binding in newborns. Obesity was not correlated with altered protein binding. Discussion/Conclusion: Conclusions on protein binding in other body fluids than blood cannot be drawn due to the scarcity of data. In serum and plasma, there is a large variability in protein binding per cephalosporin and between different categories of patients. Several characteristics were identified which lead to a lower protein binding. The finding that some of the cephalosporins display a non-linear pattern of protein binding makes it even more difficult to predict the unbound concentrations in individual patients. Taken all these factors, it is recommended to measure unbound concentrations to optimize antibiotic exposure in individual patients. Systematic Review Registration: PROSPERO, identifier (CRD42021252776).
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Affiliation(s)
- C. Jongmans
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, Netherlands
| | - A. E. Muller
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Medical Microbiology, Haaglanden Medical Center, The Hague, Netherlands
| | - P. Van Den Broek
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - C. Van Den Berg
- Department of Orthopedics and Sports Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - J. Van Oldenrijk
- Department of Orthopedics and Sports Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - P. K. Bos
- Department of Orthopedics and Sports Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - B. C. P. Koch
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, Netherlands
- *Correspondence: B. C. P. Koch,
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Sun D, Gao W, Hu H, Zhou S. Why 90% of clinical drug development fails and how to improve it? Acta Pharm Sin B 2022; 12:3049-3062. [PMID: 35865092 PMCID: PMC9293739 DOI: 10.1016/j.apsb.2022.02.002] [Citation(s) in RCA: 360] [Impact Index Per Article: 180.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/03/2022] [Accepted: 02/06/2022] [Indexed: 12/14/2022] Open
Abstract
Ninety percent of clinical drug development fails despite implementation of many successful strategies, which raised the question whether certain aspects in target validation and drug optimization are overlooked? Current drug optimization overly emphasizes potency/specificity using structure‒activity-relationship (SAR) but overlooks tissue exposure/selectivity in disease/normal tissues using structure‒tissue exposure/selectivity–relationship (STR), which may mislead the drug candidate selection and impact the balance of clinical dose/efficacy/toxicity. We propose structure‒tissue exposure/selectivity–activity relationship (STAR) to improve drug optimization, which classifies drug candidates based on drug's potency/selectivity, tissue exposure/selectivity, and required dose for balancing clinical efficacy/toxicity. Class I drugs have high specificity/potency and high tissue exposure/selectivity, which needs low dose to achieve superior clinical efficacy/safety with high success rate. Class II drugs have high specificity/potency and low tissue exposure/selectivity, which requires high dose to achieve clinical efficacy with high toxicity and needs to be cautiously evaluated. Class III drugs have relatively low (adequate) specificity/potency but high tissue exposure/selectivity, which requires low dose to achieve clinical efficacy with manageable toxicity but are often overlooked. Class IV drugs have low specificity/potency and low tissue exposure/selectivity, which achieves inadequate efficacy/safety, and should be terminated early. STAR may improve drug optimization and clinical studies for the success of clinical drug development.
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Li J, Roberts J. Antibiotic pharmacokinetics/pharmacodynamics: where are we heading? Int J Antimicrob Agents 2021; 58:106369. [PMID: 34062225 DOI: 10.1016/j.ijantimicag.2021.106369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/15/2021] [Accepted: 05/19/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Jian Li
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, 19 Innovation Walk, Monash University, Clayton, VIC, 3800, Australia.
| | - Jason Roberts
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia; Departments of Pharmacy and Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; Division of Anaesthesiology, Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France
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6
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Leng B, Yan G, Wang C, Shen C, Zhang W, Wang W. Dose optimisation based on pharmacokinetic/pharmacodynamic target of tigecycline. J Glob Antimicrob Resist 2021; 25:315-322. [PMID: 33957288 DOI: 10.1016/j.jgar.2021.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/18/2021] [Accepted: 04/07/2021] [Indexed: 02/07/2023] Open
Abstract
Tigecycline, a new first-in-class glycylcycline antibiotic, has shown promising efficacy against a broad range of micro-organisms. It is widely prescribed for various infections, with most prescriptions being considered for off-label use. However, only a few years after its approval by the US Food and Drug Administration (FDA), tigecycline is suspected of increasing all-cause mortality. Some clinicians have suggested such unfavourable outcomes correlate with inadequate drug exposure at the infection site. The pharmacokinetic/pharmacodynamic (PK/PD) profile of a drug plays an important role in predicting its antibiotic effect, which for tigecycline is determined as the ratio of area under the concentration-time curve (AUC) to minimum inhibitory concentration (MIC). In this study, PK/PD targets based on infection sites, bacterial isolates and patient populations are discussed. Generally, a higher dosage of tigecycline for the treatment of serious infections has been recommended in previous reports. However, the latest finding of tigecycline's atypical protein binding property requires consideration when recommending further use. In addition, combination therapy with other antibiotics provides another option by potentially lowering the MICs of multidrug-resistant bacteria.
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Affiliation(s)
- Bing Leng
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China
| | - Genquan Yan
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China
| | - Cuicui Wang
- Medical Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China
| | - Chengwu Shen
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China
| | - Wen Zhang
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China
| | - Wei Wang
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Huaiyin District, Jinan 250021, China; Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
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Rayner CR, Smith PF, Andes D, Andrews K, Derendorf H, Friberg LE, Hanna D, Lepak A, Mills E, Polasek TM, Roberts JA, Schuck V, Shelton MJ, Wesche D, Rowland‐Yeo K. Model-Informed Drug Development for Anti-Infectives: State of the Art and Future. Clin Pharmacol Ther 2021; 109:867-891. [PMID: 33555032 PMCID: PMC8014105 DOI: 10.1002/cpt.2198] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 02/05/2021] [Indexed: 12/13/2022]
Abstract
Model-informed drug development (MIDD) has a long and rich history in infectious diseases. This review describes foundational principles of translational anti-infective pharmacology, including choice of appropriate measures of exposure and pharmacodynamic (PD) measures, patient subpopulations, and drug-drug interactions. Examples are presented for state-of-the-art, empiric, mechanistic, interdisciplinary, and real-world evidence MIDD applications in the development of antibacterials (review of minimum inhibitory concentration-based models, mechanism-based pharmacokinetic/PD (PK/PD) models, PK/PD models of resistance, and immune response), antifungals, antivirals, drugs for the treatment of global health infectious diseases, and medical countermeasures. The degree of adoption of MIDD practices across the infectious diseases field is also summarized. The future application of MIDD in infectious diseases will progress along two planes; "depth" and "breadth" of MIDD methods. "MIDD depth" refers to deeper incorporation of the specific pathogen biology and intrinsic and acquired-resistance mechanisms; host factors, such as immunologic response and infection site, to enable deeper interrogation of pharmacological impact on pathogen clearance; clinical outcome and emergence of resistance from a pathogen; and patient and population perspective. In particular, improved early assessment of the emergence of resistance potential will become a greater focus in MIDD, as this is poorly mitigated by current development approaches. "MIDD breadth" refers to greater adoption of model-centered approaches to anti-infective development. Specifically, this means how various MIDD approaches and translational tools can be integrated or connected in a systematic way that supports decision making by key stakeholders (sponsors, regulators, and payers) across the entire development pathway.
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Affiliation(s)
- Craig R. Rayner
- CertaraPrincetonNew JerseyUSA
- Monash Institute of Pharmaceutical SciencesMonash UniversityMelbourneVictoriaAustralia
| | | | - David Andes
- University of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Kayla Andrews
- Bill & Melinda Gates Medical Research InstituteCambridgeMassachusettsUSA
| | | | | | - Debra Hanna
- Bill & Melinda Gates FoundationSeattleWashingtonUSA
| | - Alex Lepak
- University of Wisconsin‐MadisonMadisonWisconsinUSA
| | | | - Thomas M. Polasek
- CertaraPrincetonNew JerseyUSA
- Centre for Medicines Use and SafetyMonash UniversityMelbourneVictoriaAustralia
- Department of Clinical PharmacologyRoyal Adelaide HospitalAdelaideSouth AustraliaAustralia
| | - Jason A. Roberts
- Faculty of MedicineUniversity of Queensland Centre for Clinical ResearchThe University of QueenslandBrisbaneQueenslandAustralia
- Departments of Pharmacy and Intensive Care MedicineRoyal Brisbane and Women’s HospitalBrisbaneQueenslandAustralia
- Division of Anaesthesiology Critical Care Emergency and Pain MedicineNîmes University HospitalUniversity of MontpellierMontpellierFrance
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Pharmacokinetic and Pharmacodynamic Profiling of Minocycline for Injection following a Single Infusion in Critically Ill Adults in a Phase IV Open-Label Multicenter Study (ACUMIN). Antimicrob Agents Chemother 2021; 65:AAC.01809-20. [PMID: 33168615 DOI: 10.1128/aac.01809-20] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 10/24/2020] [Indexed: 12/16/2022] Open
Abstract
Intravenous (i.v.) minocycline is increasingly used to treat infections caused by multidrug-resistant (MDR) Acinetobacter baumannii Despite its being approved nearly 50 years ago, published information on its pharmacokinetic (PK) profile is limited. This multicenter study examined the PK and probability of pharmacokinetic-pharmacodynamic (PK-PD) target attainment profile of i.v. minocycline in critically ill patients, with suspected or documented infection with Gram-negative bacteria. The PK study population included 55 patients who received a single 200-mg i.v. dose of minocycline. Plasma PK samples were collected predose and 1, 4, 12, 24, 36, and 48 h after initiation of minocycline. Total and unbound minocycline concentrations were determined at each time point. Probabilities of achieving the PK-PD targets associated with stasis and 1-log killing (free area under the curve above the MIC [fAUC:MIC] of 12 and 18, respectively) in an immunocompetent animal pneumonia infection model of A. baumannii were evaluated. A two-compartment population PK model with zero-order i.v. input and first-order elimination, which estimated a constant fraction unbound (fub) for minocycline, best characterized the total and unbound plasma minocycline concentration-time data. The only two covariates retained in the final PK model were body surface area (associated with central volume of distribution) and albumin (associated with fub). In the PK-PD probability of target attainment analyses, minocycline 200 mg i.v. every 12 h (Q12H) was predicted to result in a suboptimal PK-PD profile for patients with A. baumannii infections with MIC values of >1 mg/liter. Like all PK-PD profiling studies of this nature, these findings need clinical confirmation.
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9
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Jun H, Rong Y, Yih C, Ho J, Cheng W, Kiang TKL. Comparisons of Four Protein-Binding Models Characterizing the Pharmacokinetics of Unbound Phenytoin in Adult Patients Using Non-Linear Mixed-Effects Modeling. Drugs R D 2020; 20:343-358. [PMID: 33026608 PMCID: PMC7691416 DOI: 10.1007/s40268-020-00323-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2020] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Phenytoin is extensively protein bound with a narrow therapeutic range. The unbound phenytoin is pharmacologically active, but total concentrations are routinely measured in clinical practice. The relationship between free and total phenytoin has been described by various binding models with inconsistent findings. Systematic comparison of these binding models in a single experimental setting is warranted to determine the optimal binding behaviors. METHODS Non-linear mixed-effects modeling was conducted on retrospectively collected data (n = 37 adults receiving oral or intravenous phenytoin) using a stochastic approximation expectation-maximization algorithm in MonolixSuite-2019R2. The optimal base structural model was initially developed and utilized to compare four binding models: Winter-Tozer, linear binding, non-linear single-binding site, and non-linear multiple-binding site. Each binding model was subjected to error and covariate modeling. The final model was evaluated using relative standard errors (RSEs), goodness-of-fit plots, visual predictive check, and bootstrapping. RESULTS A one-compartment, first-order absorption, Michaelis-Menten elimination, and linear protein-binding model best described the population pharmacokinetics of free phenytoin at typical clinical concentrations. The non-linear single-binding-site model also adequately described phenytoin binding but generated larger RSEs. The non-linear multiple-binding-site model performed the worst, with no identified covariates. The optimal linear binding model suggested a relatively high binding capacity using a single albumin site. Covariate modeling indicated a positive relationship between albumin concentration and the binding proportionality constant. CONCLUSIONS The linear binding model best described the population pharmacokinetics of unbound phenytoin in adult subjects and may be used to improve the prediction of free phenytoin concentrations.
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Affiliation(s)
- Heajin Jun
- College of Pharmacy, Seoul National University, Seoul, Republic of Korea
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Katz Group Centre for Pharmacy and Health Research, Room 3-142D, 11361-87 Avenue, Edmonton, AB, T6G 2E1, Canada
| | - Yan Rong
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Katz Group Centre for Pharmacy and Health Research, Room 3-142D, 11361-87 Avenue, Edmonton, AB, T6G 2E1, Canada
| | - Catharina Yih
- Department of Pharmacy, Vancouver General Hospital, Vancouver, BC, Canada
| | - Jordan Ho
- Department of Pharmacy, Vancouver General Hospital, Vancouver, BC, Canada
| | - Wendy Cheng
- Department of Pharmacy, Vancouver General Hospital, Vancouver, BC, Canada
| | - Tony K L Kiang
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Katz Group Centre for Pharmacy and Health Research, Room 3-142D, 11361-87 Avenue, Edmonton, AB, T6G 2E1, Canada.
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10
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Characteristics of Dolutegravir and Bictegravir Plasma Protein Binding: a First Approach for the Study of Pharmacologic Sanctuaries. Antimicrob Agents Chemother 2020; 64:AAC.00895-20. [PMID: 32868324 DOI: 10.1128/aac.00895-20] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/25/2020] [Indexed: 01/01/2023] Open
Abstract
This study aimed to characterize in vitro dolutegravir (DTG) and bictegravir (BIC) binding. They had a preferential binding to human serum albumin (HSA) with two classes of albumin sites. Human alpha-1-acid glycoprotein (HAAG) binding of DTG and BIC showed an atypical nonlinear binding. The low-affinity site on HSA, the main plasma binding protein, suggests that the high protein binding rate should not impair passive diffusion.
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11
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Ngougni Pokem P, Capron A, Wallemacq P, Tulkens PM, Van Bambeke F, Laterre PF. Temocillin plasma and pancreatic tissue concentrations in a critically ill patient with septic shock. J Antimicrob Chemother 2020; 74:1459-1461. [PMID: 30649374 DOI: 10.1093/jac/dky565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Perrin Ngougni Pokem
- Pharmacologie cellulaire et moléculaire, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium
| | - Arnaud Capron
- Department of Clinical Chemistry, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Pierre Wallemacq
- Department of Clinical Chemistry, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Paul M Tulkens
- Pharmacologie cellulaire et moléculaire, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium
| | - Françoise Van Bambeke
- Pharmacologie cellulaire et moléculaire, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium
| | - Pierre-François Laterre
- Department of Critical Care Medicine, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
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12
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Litjens CHC, Aarnoutse RE, van Ewijk-Beneken Kolmer EWJ, Svensson EM, Colbers A, Burger DM, Boeree MJ, Te Brake LHM. Protein binding of rifampicin is not saturated when using high-dose rifampicin. J Antimicrob Chemother 2020; 74:986-990. [PMID: 30597025 DOI: 10.1093/jac/dky527] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 10/30/2018] [Accepted: 11/21/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Higher doses of rifampicin are being investigated as a means to optimize response to this pivotal TB drug. It is unknown whether high-dose rifampicin results in saturation of plasma protein binding and a relative increase in protein-unbound (active) drug concentrations. OBJECTIVES To assess the free fraction of rifampicin based on an in vitro experiment and data from a clinical trial on high-dose rifampicin. METHODS Protein-unbound rifampicin concentrations were measured in human serum spiked with increasing total concentrations (up to 64 mg/L) of rifampicin and in samples obtained by intensive pharmacokinetic sampling of patients who used standard (10 mg/kg daily) or high-dose (35 mg/kg) rifampicin up to steady-state. The performance of total AUC0-24 to predict unbound AUC0-24 was evaluated. RESULTS The in vitro free fraction of rifampicin remained unaltered (∼9%) up to 21 mg/L and increased up to 13% at 41 mg/L and 17% at 64 mg/L rifampicin. The highest (peak) concentration in vivo was 39.1 mg/L (high-dose group). The arithmetic mean percentage unbound to total AUC0-24in vivo was 13.3% (range = 8.1%-24.9%) and 11.1% (range = 8.6%-13.6%) for the standard group and the high-dose group, respectively (P = 0.214). Prediction of unbound AUC0-24 based on total AUC0-24 resulted in a bias of -0.05% and an imprecision of 13.2%. CONCLUSIONS Plasma protein binding of rifampicin can become saturated, but exposures after high-dose rifampicin are not high enough to increase the free fraction in TB patients with normal albumin values. Unbound rifampicin exposures can be predicted from total exposures, even in the higher dose range.
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Affiliation(s)
- Carlijn H C Litjens
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.,Department of Pharmacology and Toxicology, Radboud Institute for Molecular Life Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | | | - Elin M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.,Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Angela Colbers
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - David M Burger
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - Martin J Boeree
- Department of Pulmonary Diseases, Radboud university medical center, Nijmegen, The Netherlands
| | - Lindsey H M Te Brake
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
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13
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Skoczen S, Snapp KS, Crist RM, Kozak D, Jiang X, Liu H, Stern ST. Distinguishing Pharmacokinetics of Marketed Nanomedicine Formulations Using a Stable Isotope Tracer Assay. ACS Pharmacol Transl Sci 2020; 3:547-558. [PMID: 32566919 PMCID: PMC7296544 DOI: 10.1021/acsptsci.0c00011] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Indexed: 12/23/2022]
Abstract
The pharmacokinetics of nanomedicines are complicated by the unique dispositional characteristics of the drug carrier. Most simplistically, the carrier could be a solubilizing platform that allows administration of a hydrophobic drug. Alternatively, the carrier could be stable and release the drug in a controlled manner, allowing for distribution of the carrier to influence distribution of the encapsulated drug. A third potential dispositional mechanism is carriers that are not stably complexed to the drug, but rather bind the drug in a dynamic equilibrium, similar to the binding of unbound drug to protein; since the nanocarrier has distributional and binding characteristics unlike plasma proteins, the equilibrium binding of drug to a nanocarrier can affect pharmacokinetics in unexpected ways, diverging from classical protein binding paradigms. The recently developed stable isotope tracer ultrafiltration assay (SITUA) for nanomedicine fractionation is uniquely suited for distinguishing and comparing these carrier/drug interactions. Here we present the the encapsulated, unencapsulated, and unbound drug fraction pharmacokinetic profiles in rats for marketed nanomedicines, representing examples of controlled release (doxorubicin liposomes, Doxil; and doxorubicin HCl liposome generic), equilibrium binding (paclitaxel cremophor micelle solution, Taxol generic), and solubilizing (paclitaxel albumin nanoparticle, Abraxane; and paclitaxel polylactic acid micelle, Genexol-PM) nanomedicine formulations. The utility of the SITUA method in differentiating these unique pharmacokinetic profiles and its potential for use in establishing generic nanomedicine bioequivalence are discussed.
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Affiliation(s)
- Sarah
L. Skoczen
- Nanotechnology
Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National
Laboratory, Frederick, Maryland 21702, United States
| | - Kelsie S. Snapp
- Nanotechnology
Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National
Laboratory, Frederick, Maryland 21702, United States
| | - Rachael M. Crist
- Nanotechnology
Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National
Laboratory, Frederick, Maryland 21702, United States
| | - Darby Kozak
- Office
of Research and Standards, Office of Generic Drugs, Center for Drug
Evaluation and Research, U.S. Food and Drug
Administration, Silver
Spring, Maryland 20993, United States
| | - Xiaohui Jiang
- Office
of Research and Standards, Office of Generic Drugs, Center for Drug
Evaluation and Research, U.S. Food and Drug
Administration, Silver
Spring, Maryland 20993, United States
| | - Hao Liu
- Office
of Research and Standards, Office of Generic Drugs, Center for Drug
Evaluation and Research, U.S. Food and Drug
Administration, Silver
Spring, Maryland 20993, United States
| | - Stephan T. Stern
- Nanotechnology
Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National
Laboratory, Frederick, Maryland 21702, United States
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14
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Tanner L, Haynes RK, Wiesner L. Accumulation of TB-Active Compounds in Murine Organs Relevant to Infection by Mycobacterium tuberculosis. Front Pharmacol 2020; 11:724. [PMID: 32508649 PMCID: PMC7248252 DOI: 10.3389/fphar.2020.00724] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 04/30/2020] [Indexed: 12/23/2022] Open
Abstract
Tuberculosis (TB), the leading cause of death due to an infectious agent, requires prolonged and costly drug treatments. With the rise in incidence of MDR and XDR TB, newer more efficacious treatments which are better able to permeate into the deeper recesses of the human lung where bacteria reside are urgently required. To this end, two new promising drug candidates, the decoquinate derivative RMB041 and the phenoxazine PhX1, were assessed for their abilities to permeate into specific murine organs. In particular, PhX1 permeation into the lungs and heart was notably efficient, as reflected in the high relative AUC values of 9669 ± 120.2 min/nmol/mg and 12450 ± 45.2 min/nmol/mg for lung and heart tissue, respectively. However, neither compound maintained a free concentration in the lung which exceeded the compound’s respective MIC90 values, indicating the importance of correcting for organ specific binding.
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Affiliation(s)
- Lloyd Tanner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Richard K Haynes
- Centre of Excellence for Pharmaceutical Sciences, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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15
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Gong J, Su D, Shang J, Yu H, Du G, Lin Y, Sun Z, Liu G. Efficacy and safety of high-dose tigecycline for the treatment of infectious diseases: A meta-analysis. Medicine (Baltimore) 2019; 98:e17091. [PMID: 31567945 PMCID: PMC6756684 DOI: 10.1097/md.0000000000017091] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/12/2019] [Accepted: 08/16/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND High-dose (HD) tigecycline regimen is increasingly used in infectious diseases, however its efficacy and safety versus low-dose (LD) is still unclear. METHODS A systematic review and meta-analysis was performed; PubMed, Embase, Cochrane Library, ScienceDirect, Web of Science, clinicalTrials.gov, Wanfang, VIP, and China National Knowledge Infrastructure (CNKI), were searched using terms "tigecycline" AND "dose" up to October 31, 2018. Eligible studies were randomized trials or cohort studies comparing mortality, clinical response, microbiological eradication and safety of different tigecycline dose regimens for any bacterial infection. The primary outcome was mortality, and the secondary outcomes were clinical response rate, microbiological eradiation rate and adverse events (AEs). Meta-analysis was done with random-effects model, with risk ratios (RR) and 95% confidence intervals (CI) calculated for all outcomes. RESULTS Of 951 publications retrieved, 17 studies (n = 1041) were pooled in our meta-analysis. The primary outcome was available in 11 studies, and the RR for mortality was 0.67 (95% CI 0.53-0.84, P < .001). Clinical response (RR 1.46, 95% CI 1.30-1.65, P < .001) and microbiological eradication rate (RR 1.61, 95% CI 1.35-1.93, P < .001) were both higher in HD than in LD tigecycline regimen. However, non-Chinese study subgroup presented no statistical significance between HD and LD regimen, RR for mortality, clinical response and microbiological eradication were 0.79 (95% CI 0.56-1.14, P = .21), 1.35 (95% CI 0.96-1.92, P = .26), 1.00 (95% CI 0.22-4.43, P = 1.00), respectively. AEs did not differ between HD and LD tigecycline (RR 1.00, 95% CI 0.80-1.26, P = .97). CONCLUSION HD tigecycline regimen reduced mortality meanwhile improved clinical efficacy and should be considered in serious infections caused by multidrug-resistant and extensively drug-resistant (MDR/XDR) bacteria.
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Affiliation(s)
- Jinhong Gong
- Department of Pharmacy, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou
- Department of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou
| | - Dan Su
- Department of Pharmacy, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou
| | - Jingjing Shang
- Department of Pharmacy, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou
| | - Hai Yu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai
| | | | - Ying Lin
- Department of Pharmacy, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou
| | - Zhiqiang Sun
- Department of Radiotherapy, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Guangjun Liu
- Department of Pharmacy, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou
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Humphreys SC, Thayer MB, Lade JM, Wu B, Sham K, Basiri B, Hao Y, Huang X, Smith R, Rock BM. Plasma and Liver Protein Binding of N-Acetylgalactosamine–Conjugated Small Interfering RNA. Drug Metab Dispos 2019; 47:1174-1182. [DOI: 10.1124/dmd.119.086967] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 05/06/2019] [Indexed: 12/20/2022] Open
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17
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Interethnic scaling of fraction unbound of a drug in plasma and volume of distribution: an analysis of extrapolation from Caucasians to Chinese. Eur J Clin Pharmacol 2018; 75:543-551. [DOI: 10.1007/s00228-018-02610-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 12/10/2018] [Indexed: 10/27/2022]
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18
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Concentration-dependent plasma protein binding: Expect the unexpected. Eur J Pharm Sci 2018; 122:341-346. [DOI: 10.1016/j.ejps.2018.07.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 06/30/2018] [Accepted: 07/02/2018] [Indexed: 11/20/2022]
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