1
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Useckaite Z, Newman LA, Hopkins AM, Klebe S, Colella AD, Chegeni N, Williams R, Sorich MJ, Rodrigues AD, Chataway TK, Rowland A. Proteomic profiling of paired human liver homogenate and tissue derived extracellular vesicles. Proteomics 2024; 24:e2300025. [PMID: 38037300 DOI: 10.1002/pmic.202300025] [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: 07/20/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 12/02/2023]
Abstract
Advances in technologies to isolate extracellular vesicles (EVs) and detect/quantify their cargo underpin the novel potential of these circulating particles as a liquid biopsy to understand physiology and disease. One organ of particular interest in terms of utilizing EVs as a liquid biopsy is the liver. The extent to which EVs originating from the liver reflect the functional status of this organ remains unknown. This is an important knowledge gap that underpins the utility of circulating liver derived EVs as a liquid biopsy. The primary objective of this study was to characterize the proteomic profile of EVs isolated from the extracellular space of liver tissue (LEV) and compare this profile to that of paired tissue (LH). LCMS analyses detected 2892 proteins in LEV and 2673 in LH. Of the 2673 proteins detected in LH, 1547 (58%) were also detected in LEV. Bioinformatic analyses demonstrated comparable representation of proteins in terms of biological functions and cellular compartments. Although, enriched representation of membrane proteins and associated functions was observed in LEV, while representation of nuclear proteins and associated functions was depleted in LEV. These data support the potential use of circulating liver derived EVs as a liquid biopsy for this organ.
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Affiliation(s)
- Zivile Useckaite
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Lauren A Newman
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Ashley M Hopkins
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Sonja Klebe
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Alex D Colella
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Flinders Proteomics Facility, Flinders University, Adelaide, South Australia, Australia
| | - Nusha Chegeni
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Flinders Proteomics Facility, Flinders University, Adelaide, South Australia, Australia
| | - Ruth Williams
- Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Michael J Sorich
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - A David Rodrigues
- Pharmacokinetics & Drug Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc, Groton, Connecticut, USA
| | - Tim K Chataway
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Flinders Proteomics Facility, Flinders University, Adelaide, South Australia, Australia
| | - Andrew Rowland
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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2
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Rigalli JP, Gagliardi A, Diester K, Bajraktari-Sylejmani G, Blank A, Burhenne J, Lenard A, Werntz L, Huppertz A, Münch L, Wendt JM, Sauter M, Haefeli WE, Weiss J. Extracellular Vesicles as Surrogates for the Regulation of the Drug Transporters ABCC2 (MRP2) and ABCG2 (BCRP). Int J Mol Sci 2024; 25:4118. [PMID: 38612927 PMCID: PMC11012658 DOI: 10.3390/ijms25074118] [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: 02/25/2024] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Drug efflux transporters of the ATP-binding-cassette superfamily play a major role in the availability and concentration of drugs at their site of action. ABCC2 (MRP2) and ABCG2 (BCRP) are among the most important drug transporters that determine the pharmacokinetics of many drugs and whose overexpression is associated with cancer chemoresistance. ABCC2 and ABCG2 expression is frequently altered during treatment, thus influencing efficacy and toxicity. Currently, there are no routine approaches available to closely monitor transporter expression. Here, we developed and validated a UPLC-MS/MS method to quantify ABCC2 and ABCG2 in extracellular vesicles (EVs) from cell culture and plasma. In this way, an association between ABCC2 protein levels and transporter activity in HepG2 cells treated with rifampicin and hypericin and their derived EVs was observed. Although ABCG2 was detected in MCF7 cell-derived EVs, the transporter levels in the vesicles did not reflect the expression in the cells. An analysis of plasma EVs from healthy volunteers confirmed, for the first time at the protein level, the presence of both transporters in more than half of the samples. Our findings support the potential of analyzing ABC transporters, and especially ABCC2, in EVs to estimate the transporter expression in HepG2 cells.
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Affiliation(s)
- Juan Pablo Rigalli
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Anna Gagliardi
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
- Department of Food and Drug, University of Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy
| | - Klara Diester
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Gzona Bajraktari-Sylejmani
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Antje Blank
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Jürgen Burhenne
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Alexander Lenard
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Lars Werntz
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Andrea Huppertz
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
- MVZ Diaverum Remscheid, Rosenhügelstraße 4a, 42859 Remscheid, Germany
| | - Lena Münch
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Janica Margrit Wendt
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Max Sauter
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Walter Emil Haefeli
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
| | - Johanna Weiss
- Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany (W.E.H.); (J.W.)
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3
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Galetin A, Brouwer KLR, Tweedie D, Yoshida K, Sjöstedt N, Aleksunes L, Chu X, Evers R, Hafey MJ, Lai Y, Matsson P, Riselli A, Shen H, Sparreboom A, Varma MVS, Yang J, Yang X, Yee SW, Zamek-Gliszczynski MJ, Zhang L, Giacomini KM. Membrane transporters in drug development and as determinants of precision medicine. Nat Rev Drug Discov 2024; 23:255-280. [PMID: 38267543 DOI: 10.1038/s41573-023-00877-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2023] [Indexed: 01/26/2024]
Abstract
The effect of membrane transporters on drug disposition, efficacy and safety is now well recognized. Since the initial publication from the International Transporter Consortium, significant progress has been made in understanding the roles and functions of transporters, as well as in the development of tools and models to assess and predict transporter-mediated activity, toxicity and drug-drug interactions (DDIs). Notable advances include an increased understanding of the effects of intrinsic and extrinsic factors on transporter activity, the application of physiologically based pharmacokinetic modelling in predicting transporter-mediated drug disposition, the identification of endogenous biomarkers to assess transporter-mediated DDIs and the determination of the cryogenic electron microscopy structures of SLC and ABC transporters. This article provides an overview of these key developments, highlighting unanswered questions, regulatory considerations and future directions.
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Affiliation(s)
- Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, The University of Manchester, Manchester, UK.
| | - Kim L R Brouwer
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Kenta Yoshida
- Clinical Pharmacology, Genentech Research and Early Development, South San Francisco, CA, USA
| | - Noora Sjöstedt
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Lauren Aleksunes
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA
| | - Xiaoyan Chu
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc., Rahway, NJ, USA
| | - Raymond Evers
- Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, PA, USA
| | - Michael J Hafey
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc., Rahway, NJ, USA
| | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, CA, USA
| | - Pär Matsson
- Department of Pharmacology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Andrew Riselli
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Hong Shen
- Department of Drug Metabolism and Pharmacokinetics, Bristol Myers Squibb Research and Development, Princeton, NJ, USA
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, CT, USA
| | - Jia Yang
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Xinning Yang
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Sook Wah Yee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Lei Zhang
- Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
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4
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Ingelman-Sundberg M, Molden E. Therapeutic drug monitoring, liquid biopsies or pharmacogenomics for prediction of human drug metabolism and response. Br J Clin Pharmacol 2024. [PMID: 38523083 DOI: 10.1111/bcp.16048] [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: 09/18/2023] [Revised: 02/14/2024] [Accepted: 02/24/2024] [Indexed: 03/26/2024] Open
Abstract
Pharmacokinetics plays a central role in understanding the significant interindividual differences that exist in drug metabolism and response. Effectively addressing these differences requires a multi-faceted approach that encompasses a variety of tools and methods. In this review, we examine three key strategies to achieve this goal, namely pharmacogenomics, therapeutic drug monitoring (TDM) and liquid biopsy-based monitoring of hepatic ADME gene expression and highlight their advantages and limitations. We note that larger cohort studies are needed to validate the utility of liquid biopsy-based assessment of hepatic ADME gene expression, which includes prediction of drug metabolism in the clinical setting. Modern mass spectrometers have improved traditional TDM methods, offering versatility and sensitivity. In addition, the identification of endogenous or dietary markers for CYP metabolic traits offers simpler and more cost-effective alternatives to determine the phenotype. We believe that future pharmacogenomic applications in clinical practice should prioritize the identification of missing heritable factors, using larger, well-characterized patient studies and controlling for confounding factors such as diet, concomitant medication and physical health. The intricate regulation of ADME gene expression implies that large-scale studies combining long-read next-generation sequencing (NGS) of complete genomes with phenotyping of patients taking different medications are essential to identify these missing heritabilities. The continuous integration of such data into AI-driven analytical systems could provide a comprehensive and useful framework. This could lead to the development of highly effective algorithms to improve genetics-based precision treatment by predicting drug metabolism and response, significantly improving clinical outcomes.
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Affiliation(s)
- Magnus Ingelman-Sundberg
- Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Espen Molden
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
- Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway
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5
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Welsh JA, Goberdhan DCI, O'Driscoll L, Buzas EI, Blenkiron C, Bussolati B, Cai H, Di Vizio D, Driedonks TAP, Erdbrügger U, Falcon‐Perez JM, Fu Q, Hill AF, Lenassi M, Lim SK, Mahoney MG, Mohanty S, Möller A, Nieuwland R, Ochiya T, Sahoo S, Torrecilhas AC, Zheng L, Zijlstra A, Abuelreich S, Bagabas R, Bergese P, Bridges EM, Brucale M, Burger D, Carney RP, Cocucci E, Colombo F, Crescitelli R, Hanser E, Harris AL, Haughey NJ, Hendrix A, Ivanov AR, Jovanovic‐Talisman T, Kruh‐Garcia NA, Ku'ulei‐Lyn Faustino V, Kyburz D, Lässer C, Lennon KM, Lötvall J, Maddox AL, Martens‐Uzunova ES, Mizenko RR, Newman LA, Ridolfi A, Rohde E, Rojalin T, Rowland A, Saftics A, Sandau US, Saugstad JA, Shekari F, Swift S, Ter‐Ovanesyan D, Tosar JP, Useckaite Z, Valle F, Varga Z, van der Pol E, van Herwijnen MJC, Wauben MHM, Wehman AM, Williams S, Zendrini A, Zimmerman AJ, MISEV Consortium, Théry C, Witwer KW. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches. J Extracell Vesicles 2024; 13:e12404. [PMID: 38326288 PMCID: PMC10850029 DOI: 10.1002/jev2.12404] [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: 12/15/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 02/09/2024] Open
Abstract
Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year-on-year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non-vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its 'Minimal Information for Studies of Extracellular Vesicles', which was first published in 2014 and then in 2018 as MISEV2014 and MISEV2018, respectively. The goal of the current document, MISEV2023, is to provide researchers with an updated snapshot of available approaches and their advantages and limitations for production, separation and characterisation of EVs from multiple sources, including cell culture, body fluids and solid tissues. In addition to presenting the latest state of the art in basic principles of EV research, this document also covers advanced techniques and approaches that are currently expanding the boundaries of the field. MISEV2023 also includes new sections on EV release and uptake and a brief discussion of in vivo approaches to study EVs. Compiling feedback from ISEV expert task forces and more than 1000 researchers, this document conveys the current state of EV research to facilitate robust scientific discoveries and move the field forward even more rapidly.
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Affiliation(s)
- Joshua A. Welsh
- Translational Nanobiology Section, Laboratory of PathologyNational Cancer Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Deborah C. I. Goberdhan
- Nuffield Department of Women's and Reproductive HealthUniversity of Oxford, Women's Centre, John Radcliffe HospitalOxfordUK
| | - Lorraine O'Driscoll
- School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublinIreland
- Trinity Biomedical Sciences InstituteTrinity College DublinDublinIreland
- Trinity St. James's Cancer InstituteTrinity College DublinDublinIreland
| | - Edit I. Buzas
- Department of Genetics, Cell‐ and ImmunobiologySemmelweis UniversityBudapestHungary
- HCEMM‐SU Extracellular Vesicle Research GroupSemmelweis UniversityBudapestHungary
- HUN‐REN‐SU Translational Extracellular Vesicle Research GroupSemmelweis UniversityBudapestHungary
| | - Cherie Blenkiron
- Faculty of Medical and Health SciencesThe University of AucklandAucklandNew Zealand
| | - Benedetta Bussolati
- Department of Molecular Biotechnology and Health SciencesUniversity of TurinTurinItaly
| | | | - Dolores Di Vizio
- Department of Surgery, Division of Cancer Biology and TherapeuticsCedars‐Sinai Medical CenterLos AngelesCaliforniaUSA
| | - Tom A. P. Driedonks
- Department CDL ResearchUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Uta Erdbrügger
- University of Virginia Health SystemCharlottesvilleVirginiaUSA
| | - Juan M. Falcon‐Perez
- Exosomes Laboratory, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- Metabolomics Platform, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- IKERBASQUE, Basque Foundation for ScienceBilbaoSpain
| | - Qing‐Ling Fu
- Otorhinolaryngology Hospital, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
- Extracellular Vesicle Research and Clinical Translational CenterThe First Affiliated Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Andrew F. Hill
- Institute for Health and SportVictoria UniversityMelbourneAustralia
| | - Metka Lenassi
- Faculty of MedicineUniversity of LjubljanaLjubljanaSlovenia
| | - Sai Kiang Lim
- Institute of Molecular and Cell Biology (IMCB)Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
- Paracrine Therapeutics Pte. Ltd.SingaporeSingapore
- Department of Surgery, YLL School of MedicineNational University SingaporeSingaporeSingapore
| | - Mỹ G. Mahoney
- Thomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
| | - Sujata Mohanty
- Stem Cell FacilityAll India Institute of Medical SciencesNew DelhiIndia
| | - Andreas Möller
- Chinese University of Hong KongHong KongHong Kong S.A.R.
- QIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Rienk Nieuwland
- Laboratory of Experimental Clinical Chemistry, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
- Amsterdam Vesicle Center, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
| | | | - Susmita Sahoo
- Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Ana C. Torrecilhas
- Laboratório de Imunologia Celular e Bioquímica de Fungos e Protozoários, Departamento de Ciências Farmacêuticas, Instituto de Ciências Ambientais, Químicas e FarmacêuticasUniversidade Federal de São Paulo (UNIFESP) Campus DiademaDiademaBrazil
| | - Lei Zheng
- Department of Laboratory Medicine, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Andries Zijlstra
- Department of PathologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- GenentechSouth San FranciscoCaliforniaUSA
| | - Sarah Abuelreich
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Reem Bagabas
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Paolo Bergese
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
- Center for Colloid and Surface Science (CSGI)FlorenceItaly
- National Center for Gene Therapy and Drugs based on RNA TechnologyPaduaItaly
| | - Esther M. Bridges
- Weatherall Institute of Molecular MedicineUniversity of OxfordOxfordUK
| | - Marco Brucale
- Consiglio Nazionale delle Ricerche ‐ Istituto per lo Studio dei Materiali NanostrutturatiBolognaItaly
- Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande InterfaseFlorenceItaly
| | - Dylan Burger
- Kidney Research CentreOttawa Hopsital Research InstituteOttawaCanada
- Department of Cellular and Molecular MedicineUniversity of OttawaOttawaCanada
- School of Pharmaceutical SciencesUniversity of OttawaOttawaCanada
| | - Randy P. Carney
- Department of Biomedical EngineeringUniversity of CaliforniaDavisCaliforniaUSA
| | - Emanuele Cocucci
- Division of Pharmaceutics and Pharmacology, College of PharmacyThe Ohio State UniversityColumbusOhioUSA
- Comprehensive Cancer CenterThe Ohio State UniversityColumbusOhioUSA
| | - Federico Colombo
- Division of Pharmaceutics and Pharmacology, College of PharmacyThe Ohio State UniversityColumbusOhioUSA
| | - Rossella Crescitelli
- Sahlgrenska Center for Cancer Research, Department of Surgery, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational Medicine, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Edveena Hanser
- Department of BiomedicineUniversity Hospital BaselBaselSwitzerland
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | | | - Norman J. Haughey
- Departments of Neurology and PsychiatryJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - An Hendrix
- Laboratory of Experimental Cancer Research, Department of Human Structure and RepairGhent UniversityGhentBelgium
- Cancer Research Institute GhentGhentBelgium
| | - Alexander R. Ivanov
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical BiologyNortheastern UniversityBostonMassachusettsUSA
| | - Tijana Jovanovic‐Talisman
- Department of Cancer Biology and Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Nicole A. Kruh‐Garcia
- Bio‐pharmaceutical Manufacturing and Academic Resource Center (BioMARC)Infectious Disease Research Center, Colorado State UniversityFort CollinsColoradoUSA
| | - Vroniqa Ku'ulei‐Lyn Faustino
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Diego Kyburz
- Department of BiomedicineUniversity of BaselBaselSwitzerland
- Department of RheumatologyUniversity Hospital BaselBaselSwitzerland
| | - Cecilia Lässer
- Krefting Research Centre, Department of Internal Medicine and Clinical NutritionInstitute of Medicine at Sahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Kathleen M. Lennon
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Jan Lötvall
- Krefting Research Centre, Institute of Medicine at Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Adam L. Maddox
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Elena S. Martens‐Uzunova
- Erasmus MC Cancer InstituteUniversity Medical Center Rotterdam, Department of UrologyRotterdamThe Netherlands
| | - Rachel R. Mizenko
- Department of Biomedical EngineeringUniversity of CaliforniaDavisCaliforniaUSA
| | - Lauren A. Newman
- College of Medicine and Public HealthFlinders UniversityAdelaideAustralia
| | - Andrea Ridolfi
- Department of Physics and Astronomy, and LaserLaB AmsterdamVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Eva Rohde
- Department of Transfusion Medicine, University HospitalSalzburger Landeskliniken GmbH of Paracelsus Medical UniversitySalzburgAustria
- GMP Unit, Paracelsus Medical UniversitySalzburgAustria
- Transfer Centre for Extracellular Vesicle Theralytic Technologies, EV‐TTSalzburgAustria
| | - Tatu Rojalin
- Department of Biomedical EngineeringUniversity of CaliforniaDavisCaliforniaUSA
- Expansion Therapeutics, Structural Biology and BiophysicsJupiterFloridaUSA
| | - Andrew Rowland
- College of Medicine and Public HealthFlinders UniversityAdelaideAustralia
| | - Andras Saftics
- Department of Molecular Medicine, Beckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Ursula S. Sandau
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Julie A. Saugstad
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Faezeh Shekari
- Department of Stem Cells and Developmental Biology, Cell Science Research CenterRoyan Institute for Stem Cell Biology and Technology, ACECRTehranIran
- Celer DiagnosticsTorontoCanada
| | - Simon Swift
- Waipapa Taumata Rau University of AucklandAucklandNew Zealand
| | - Dmitry Ter‐Ovanesyan
- Wyss Institute for Biologically Inspired EngineeringHarvard UniversityBostonMassachusettsUSA
| | - Juan P. Tosar
- Universidad de la RepúblicaMontevideoUruguay
- Institut Pasteur de MontevideoMontevideoUruguay
| | - Zivile Useckaite
- College of Medicine and Public HealthFlinders UniversityAdelaideAustralia
| | - Francesco Valle
- Consiglio Nazionale delle Ricerche ‐ Istituto per lo Studio dei Materiali NanostrutturatiBolognaItaly
- Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande InterfaseFlorenceItaly
| | - Zoltan Varga
- Biological Nanochemistry Research GroupInstitute of Materials and Environmental Chemistry, Research Centre for Natural SciencesBudapestHungary
- Department of Biophysics and Radiation BiologySemmelweis UniversityBudapestHungary
| | - Edwin van der Pol
- Amsterdam Vesicle Center, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
- Biomedical Engineering and Physics, Amsterdam UMC, location AMCUniversity of AmsterdamAmsterdamThe Netherlands
- Laboratory of Experimental Clinical Chemistry, Amsterdam UMC, location AMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Martijn J. C. van Herwijnen
- Department of Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityUtrechtThe Netherlands
| | - Marca H. M. Wauben
- Department of Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityUtrechtThe Netherlands
| | | | | | - Andrea Zendrini
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
- Center for Colloid and Surface Science (CSGI)FlorenceItaly
| | - Alan J. Zimmerman
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical BiologyNortheastern UniversityBostonMassachusettsUSA
| | | | - Clotilde Théry
- Institut Curie, INSERM U932PSL UniversityParisFrance
- CurieCoreTech Extracellular Vesicles, Institut CurieParisFrance
| | - Kenneth W. Witwer
- Department of Molecular and Comparative PathobiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- EV Core Facility “EXCEL”, Institute for Basic Biomedical SciencesJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's DiseaseJohns Hopkins University School of MedicineBaltimoreMarylandUSA
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6
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Wu X, Quan M, Hadisurya M, Hu J, Liu YK, Zhuang Y, Li L, Iliuk AB, Yang JJ, Kuang S, Tao WA. Monitoring drug metabolic pathways through extracellular vesicles in mouse plasma. PNAS NEXUS 2024; 3:pgae023. [PMID: 38312223 PMCID: PMC10833468 DOI: 10.1093/pnasnexus/pgae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/04/2024] [Indexed: 02/06/2024]
Abstract
The ability to monitor the response of metabolic enzymes to drug exposure in individuals is highly appealing and critical to personalized medicine. Although pharmacogenomics assesses genotypic differences, it does not report changes in metabolic enzyme activities due to environmental factors such as drug interactions. Here, we report a quantitative proteomics strategy to monitor drug metabolic pathways by profiling metabolic enzymes in circulating extracellular vesicles (EVs) upon drug exposure. Mass spectrometry (MS)-based measurement revealed that changes in metabolic enzyme abundance in EVs paralleled those in hepatic cells isolated from liver tissue. Coupling with multiplexed isotopic labeling, we temporally quantified 34 proteins involved in drug absorption, distribution, metabolism, and excretion (ADME) pathways. Out of 44 known ADME proteins in plasma EVs, previously annotated mouse cytochrome P450 3A11 (Cyp3a11), homolog to human CYP3A4, and uridine 5'-diphospho (UDP) glucuronosyltransferase 2A3 (Ugt2a3), increased upon daily rifampicin dosage. Dasatinib, a tyrosine kinase inhibitor to treat leukemia, also elevated Cyp3a11 levels in plasma EVs, but to a lesser extent. Altogether, this study demonstrates that measuring drug enzymes in circulating EVs as an effective surrogate is highly feasible and may transform today's drug discovery and development for personalized medicine.
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Affiliation(s)
- Xiaofeng Wu
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Menchus Quan
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - Marco Hadisurya
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Jianzhong Hu
- Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Yi-Kai Liu
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Yuxin Zhuang
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Li Li
- Tymora Analytical Operations, West Lafayette, IN 47906, USA
| | - Anton B Iliuk
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
- Tymora Analytical Operations, West Lafayette, IN 47906, USA
| | - Jun J Yang
- Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN 38105, USA
- Department of Oncology, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Shihuan Kuang
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA
- Purdue Institute for Cancer Research, Purdue University, West Lafayette, IN 47907, USA
| | - W Andy Tao
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
- Tymora Analytical Operations, West Lafayette, IN 47906, USA
- Purdue Institute for Cancer Research, Purdue University, West Lafayette, IN 47907, USA
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7
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Tremmel R, Hofmann U, Haag M, Schaeffeler E, Schwab M. Circulating Biomarkers Instead of Genotyping to Establish Metabolizer Phenotypes. Annu Rev Pharmacol Toxicol 2024; 64:65-87. [PMID: 37585662 DOI: 10.1146/annurev-pharmtox-032023-121106] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Pharmacogenomics (PGx) enables personalized treatment for the prediction of drug response and to avoid adverse drug reactions. Currently, PGx mainly relies on the genetic information of absorption, distribution, metabolism, and excretion (ADME) targets such as drug-metabolizing enzymes or transporters to predict differences in the patient's phenotype. However, there is evidence that the phenotype-genotype concordance is limited. Thus, we discuss different phenotyping strategies using exogenous xenobiotics (e.g., drug cocktails) or endogenous compounds for phenotype prediction. In particular, minimally invasive approaches focusing on liquid biopsies offer great potential to preemptively determine metabolic and transport capacities. Early studies indicate that ADME phenotyping using exosomes released from the liver is reliable. In addition, pharmacometric modeling and artificial intelligence improve phenotype prediction. However, further prospective studies are needed to demonstrate the clinical utility of individualized treatment based on phenotyping strategies, not only relying on genetics. The present review summarizes current knowledge and limitations.
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Affiliation(s)
- Roman Tremmel
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany;
- University of Tuebingen, Tuebingen, Germany
| | - Ute Hofmann
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany;
- University of Tuebingen, Tuebingen, Germany
| | - Mathias Haag
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany;
- University of Tuebingen, Tuebingen, Germany
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany;
- University of Tuebingen, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tuebingen, Tuebingen, Germany
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany;
- University of Tuebingen, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tuebingen, Tuebingen, Germany
- Departments of Clinical Pharmacology, and Pharmacy and Biochemistry, University of Tuebingen, Tuebingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center Heidelberg (DKFZ), Partner Site, Tübingen, Germany
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8
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Qiu R, Fonseca K, Bergman A, Lin J, Tess D, Newman L, Fahmy A, Useckaite Z, Rowland A, Vourvahis M, Rodrigues D. Study of the ketohexokinase inhibitor PF-06835919 as a clinical cytochrome P450 3A inducer: Integrated use of oral midazolam and liquid biopsy. Clin Transl Sci 2024; 17:e13644. [PMID: 38108609 PMCID: PMC10766059 DOI: 10.1111/cts.13644] [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] [Received: 07/14/2023] [Accepted: 08/17/2023] [Indexed: 12/19/2023] Open
Abstract
PF-06835919, a ketohexokinase inhibitor, presented as an inducer of cytochrome P450 3A4 (CYP3A4) in vitro (human primary hepatocytes), and static mechanistic modeling exercises predicted significant induction in vivo (oral midazolam area under the plasma concentration-time curve [AUC] ratio [AUCR] = 0.23-0.79). Therefore, a drug-drug interaction study was conducted to evaluate the effect of multiple doses of PF-06835919 (300 mg once daily × 10 days; N = 10 healthy participants) on the pharmacokinetics of a single oral midazolam 7.5 mg dose. The adjusted geometric means for midazolam AUC and its maximal plasma concentration were similar following co-administration with PF-06835919 (vs. midazolam administration alone), with ratios of the adjusted geometric means (90% confidence interval [CI]) of 97.6% (90% CI: 79.9%-119%) and 98.9% (90% CI: 76.4%-128%), respectively, suggesting there was minimal effect of PF-06835919 on midazolam pharmacokinetics. Lack of CYP3A4 induction was confirmed after the preparation of subject plasma-derived small extracellular vesicles (sEVs) and conducting proteomic and activity (midazolam 1'-hydroxylase) analysis. Consistent with the midazolam AUCR observed, the CYP3A4 protein expression fold-induction (geometric mean, 90% CI) was low in liver (0.9, 90% CI: 0.7-1.2) and non-liver (0.9, 90% CI: 0.7-1.2) sEVs (predicted AUCR = 1.0, 90% CI: 0.9-1.2). Likewise, minimal induction of CYP3A4 activity (geometric mean, 90% CI) in both liver (1.1, 90% CI: 0.9-1.3) and non-liver (0.9, 90% CI: 0.5-1.5) sEVs was evident (predicted AUCR = 0.9, 90% CI: 0.6-1.4). The results showcase the integrated use of an oral CYP3A probe (midazolam) and plasma-derived sEVs to assess a drug candidate as inducer.
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Affiliation(s)
| | | | | | | | | | | | - Alia Fahmy
- Flinders UniversityAdelaideSouth AustraliaAustralia
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9
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Urbaniak A, Thummel KE, Alade AN, Rettie AE, Prasad B, De Nicolò A, Martin JH, Sheppard DN, Jarvis MF. Experimental pharmacology in precision medicine. Pharmacol Res Perspect 2023; 11:e01147. [PMID: 37885364 PMCID: PMC10603287 DOI: 10.1002/prp2.1147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Affiliation(s)
- Alicja Urbaniak
- Department of Biochemistry and Molecular BiologyUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | | | - Ayoade N. Alade
- School of PharmacyUniversity of WashingtonSeattleWashingtonUSA
| | - Allan E. Rettie
- School of PharmacyUniversity of WashingtonSeattleWashingtonUSA
| | - Bhagwat Prasad
- Department of Pharmaceutical SciencesWashington State UniversitySpokaneWashingtonUSA
| | | | - Jennifer H. Martin
- The University of Newcastle Hunter Medical Research InstituteNew LambtonNew South WalesAustralia
| | - David N. Sheppard
- School of Physiology, Pharmacology and NeuroscienceUniversity of BristolBristolUK
| | - Michael F. Jarvis
- Pharmaceutical SciencesUniversity of Illinois‐ChicagoChicagoIllinoisUSA
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10
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Barnes MVC, Pantazi P, Holder B. Circulating extracellular vesicles in healthy and pathological pregnancies: A scoping review of methodology, rigour and results. J Extracell Vesicles 2023; 12:e12377. [PMID: 37974377 PMCID: PMC10654380 DOI: 10.1002/jev2.12377] [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: 05/05/2023] [Revised: 09/27/2023] [Accepted: 10/16/2023] [Indexed: 11/19/2023] Open
Abstract
Extracellular vesicles (EVs) play a crucial role in pregnancy, revealed by the presence of placental-derived EVs in maternal blood, their in vitro functionality, and their altered cargo in pregnancy pathologies. These EVs are thought to be involved in the development of pregnancy pathologies, such as pre-eclampsia, pre-term birth, and fetal growth restriction, and have been suggested as a source of biomarkers for gestational diseases. However, to accurately interpret their function and biomarker potential, it is necessary to critically evaluate the EV isolation and characterization methodologies used in pregnant cohorts. In this systematic scoping review, we collated the results from 152 studies that have investigated EVs in the blood of pregnant women, and provide a detailed analysis of the EV isolation and characterization methodologies used. Our findings indicate an overall increase in EV concentrations in pregnant compared to non-pregnant individuals, an increased EV count as gestation progresses, and an increased EV count in some pregnancy pathologies. We highlight the need for improved standardization of methodology, greater focus on gestational changes in EV concentrations, and further investigations into the functionality of EVs. Our review suggests that EVs hold great promise as diagnostic and translational tools for gestational diseases. However, to fully realize their potential, it is crucial to improve the standardization and reliability of EV isolation and characterization methodologies, and to gain a better understanding of their functional roles in pregnancy pathologies.
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Affiliation(s)
- Megan V. C. Barnes
- Institute of Reproductive and Developmental Biology, Department of MetabolismDigestion and Reproduction, Imperial College LondonLondonUK
| | - Paschalia Pantazi
- Institute of Reproductive and Developmental Biology, Department of MetabolismDigestion and Reproduction, Imperial College LondonLondonUK
| | - Beth Holder
- Institute of Reproductive and Developmental Biology, Department of MetabolismDigestion and Reproduction, Imperial College LondonLondonUK
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11
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Jackson KD, Achour B, Lee J, Geffert RM, Beers JL, Latham BD. Novel Approaches to Characterize Individual Drug Metabolism and Advance Precision Medicine. Drug Metab Dispos 2023; 51:1238-1253. [PMID: 37419681 PMCID: PMC10506699 DOI: 10.1124/dmd.122.001066] [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] [Received: 08/14/2022] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 07/09/2023] Open
Abstract
Interindividual variability in drug metabolism can significantly affect drug concentrations in the body and subsequent drug response. Understanding an individual's drug metabolism capacity is important for predicting drug exposure and developing precision medicine strategies. The goal of precision medicine is to individualize drug treatment for patients to maximize efficacy and minimize drug toxicity. While advances in pharmacogenomics have improved our understanding of how genetic variations in drug-metabolizing enzymes (DMEs) affect drug response, nongenetic factors are also known to influence drug metabolism phenotypes. This minireview discusses approaches beyond pharmacogenetic testing to phenotype DMEs-particularly the cytochrome P450 enzymes-in clinical settings. Several phenotyping approaches have been proposed: traditional approaches include phenotyping with exogenous probe substrates and the use of endogenous biomarkers; newer approaches include evaluating circulating noncoding RNAs and liquid biopsy-derived markers relevant to DME expression and function. The goals of this minireview are to 1) provide a high-level overview of traditional and novel approaches to phenotype individual drug metabolism capacity, 2) describe how these approaches are being applied or can be applied to pharmacokinetic studies, and 3) discuss perspectives on future opportunities to advance precision medicine in diverse populations. SIGNIFICANCE STATEMENT: This minireview provides an overview of recent advances in approaches to characterize individual drug metabolism phenotypes in clinical settings. It highlights the integration of existing pharmacokinetic biomarkers with novel approaches; also discussed are current challenges and existing knowledge gaps. The article concludes with perspectives on the future deployment of a liquid biopsy-informed physiologically based pharmacokinetic strategy for patient characterization and precision dosing.
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Affiliation(s)
- Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
| | - Brahim Achour
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
| | - Jonghwa Lee
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
| | - Raeanne M Geffert
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
| | - Jessica L Beers
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
| | - Bethany D Latham
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (K.D.J., J.L., R.M.G., J.L.B., B.D.L.); and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island (B.A.)
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12
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Wyszogrodzka-Gaweł G, Shuklinova O, Lisowski B, Wiśniowska B, Polak S. 3D printing combined with biopredictive dissolution and PBPK/PD modeling optimization and personalization of pharmacotherapy: Are we there yet? Drug Discov Today 2023; 28:103731. [PMID: 37541422 DOI: 10.1016/j.drudis.2023.103731] [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: 06/30/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/06/2023]
Abstract
Precision medicine requires selecting the appropriate dosage regimen for a patient using the right drug, at the right time. Model-Informed Precision Dosing (MIPD) is a concept suggesting utilization of model-based prediction methods for optimizing the treatment benefit-harm balance, based on individual characteristics of the patient, disease, treatment method, and other factors. Here, we discuss a theoretical workflow comprising several elements, beginning from the physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models, through 3D printed tablets with the model proposed dose, information range and flow, and the patient themselves. We also describe each of these elements, and the connection between them, highlighting challenges and potential obstacles.
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Affiliation(s)
- Gabriela Wyszogrodzka-Gaweł
- Department of Social Pharmacy, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Olha Shuklinova
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland
| | - Bartek Lisowski
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Barbara Wiśniowska
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Sebastian Polak
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
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13
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Gagliardi A, Bajraktari-Sylejmani G, Barocelli E, Weiss J, Rigalli JP. Extracellular Vesicles as Surrogates for Drug Metabolism and Clearance: Promise vs. Reality. Life (Basel) 2023; 13:1745. [PMID: 37629602 PMCID: PMC10455864 DOI: 10.3390/life13081745] [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: 07/24/2023] [Revised: 08/11/2023] [Accepted: 08/13/2023] [Indexed: 08/27/2023] Open
Abstract
Drug-metabolizing enzymes (DMEs) and transporters play a major role in drug efficacy and safety. They are regulated at multiple levels and by multiple factors. Estimating their expression and activity could contribute to predicting drug pharmacokinetics and their regulation by drugs or pathophysiological situations. Determining the expression of these proteins in the liver, intestine, and kidney requires the collection of biopsy specimens. Instead, the isolation of extracellular vesicles (EVs), which are nanovesicles released by most cells and present in biological fluids, could deliver this information in a less invasive way. In this article, we review the use of EVs as surrogates for the expression and activity of DMEs, uptake, and efflux transporters. Preliminary evidence has been provided for a correlation between the expression of some enzymes and transporters in EVs and the tissue of origin. In some cases, data obtained in EVs reflect the induction of phase I-DMEs in the tissues. Further studies are required to elucidate to what extent the regulation of other DMEs and transporters in the tissues reflects in the EV cargo. If an association between tissues and their EVs is firmly established, EVs may represent a significant advancement toward precision therapy based on the biotransformation and excretion capacity of each individual.
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Affiliation(s)
- Anna Gagliardi
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- Department of Food and Drug, University of Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy
| | - Gzona Bajraktari-Sylejmani
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Elisabetta Barocelli
- Department of Food and Drug, University of Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy
| | - Johanna Weiss
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Juan Pablo Rigalli
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
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14
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Ansaar R, Meech R, Rowland A. A Physiologically Based Pharmacokinetic Model to Predict Determinants of Variability in Epirubicin Exposure and Tissue Distribution. Pharmaceutics 2023; 15:pharmaceutics15041222. [PMID: 37111707 PMCID: PMC10143085 DOI: 10.3390/pharmaceutics15041222] [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: 12/23/2022] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Epirubicin is an anthracycline antineoplastic drug that is primarily used in combination therapies for the treatment of breast, gastric, lung and ovarian cancers and lymphomas. Epirubicin is administered intravenously (IV) over 3 to 5 min once every 21 days with dosing based on body surface area (BSA; mg/m2). Despite accounting for BSA, marked inter-subject variability in circulating epirubicin plasma concentration has been reported. METHODS In vitro experiments were conducted to determine the kinetics of epirubicin glucuronidation by human liver microsomes in the presence and absence of validated UGT2B7 inhibitors. A full physiologically based pharmacokinetic model was built and validated using Simcyp® (version 19.1, Certara, Princeton, NJ, USA). The model was used to simulate epirubicin exposure in 2000 Sim-Cancer subjects over 158 h following a single intravenous dose of epirubicin. A multivariable linear regression model was built using simulated demographic and enzyme abundance data to determine the key drivers of variability in systemic epirubicin exposure. RESULTS Multivariable linear regression modelling demonstrated that variability in simulated systemic epirubicin exposure following intravenous injection was primarily driven by differences in hepatic and renal UGT2B7 expression, plasma albumin concentration, age, BSA, GFR, haematocrit and sex. By accounting for these factors, it was possible to explain 87% of the variability in epirubicin in a simulated cohort of 2000 oncology patients. CONCLUSIONS The present study describes the development and evaluation of a full-body PBPK model to assess systemic and individual organ exposure to epirubicin. Variability in epirubicin exposure was primarily driven by hepatic and renal UGT2B7 expression, plasma albumin concentration, age, BSA, GFR, haematocrit and sex.
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Affiliation(s)
- Radwan Ansaar
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Robyn Meech
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Andrew Rowland
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
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15
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Liu XI, Dallmann A, Brooks K, Best BM, Clarke DF, Mirochnick M, van den Anker JN, Capparelli EV, Momper JD. Physiologically-based pharmacokinetic modeling of remdesivir and its metabolites in pregnant women with COVID-19. CPT Pharmacometrics Syst Pharmacol 2023; 12:148-153. [PMID: 36479969 PMCID: PMC9877749 DOI: 10.1002/psp4.12900] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022] Open
Abstract
Pregnant individuals are at high risk for severe illness from COVID-19, and there is an urgent need to identify safe and effective therapeutics for this population. Remdesivir (RDV) is a SARS-CoV-2 nucleotide analog RNA polymerase inhibitor. Limited RDV pharmacokinetic (PK) and safety data are available for pregnant women receiving RDV. The aims of this study were to translate a previously published nonpregnant adult physiologically based PK (PBPK) model for RDV to pregnancy and evaluate model performance with emerging clinical PK data in pregnant women with COVID-19. The pregnancy model was built in the Open Systems Pharmacology software suite (Version 10) including PK-Sim® and MoBi® with pregnancy-related changes of relevant enzymes applied. PK were predicted in a virtual population of 1000 pregnant subjects, and prediction results were compared with in vivo PK data from the International Maternal, Pediatric, Adolescent AIDS Clinical Trials (IMPAACT) Network 2032 study. The developed PBPK model successfully captured RDV and its metabolites' plasma concentrations during pregnancy. The ratios of prediction versus observation for RDV area under the curve from time 0 to infinity (AUC0-∞ ) and maximum concentration (Cmax ) were 1.61 and 1.17, respectively. For GS-704277, the ratios of predicted versus observed were 0.94 for AUC0-∞ and 1.20 for Cmax . For GS-441524, the ratios of predicted versus observed were 1.03 for AUC0-24 , 1.05 for Cmax , and 1.07 for concentrations at 24 h. All predictions of AUC and Cmax for RDV and its metabolites were within a twofold error range, and about 60% of predictions were within a 10% error range. These findings demonstrate the feasibility of translating PBPK models to pregnant women to potentially guide trial design, clinical decision making, and drug development.
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Affiliation(s)
- Xiaomei I. Liu
- Division of Clinical PharmacologyChildren's National HospitalWashingtonDCUSA
| | - André Dallmann
- Pharmacometrics/Modeling and Simulation, Research and Development, Pharmaceuticals, Bayer AGLeverkusenGermany
| | - Kristina Brooks
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical SciencesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Brookie M. Best
- Skaggs School of Pharmacy and Pharmaceutical SciencesUniversity of California, San DiegoLa JollaCaliforniaUSA
- Pediatrics Department, School of Medicine‐Rady Children's Hospital San DiegoUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Diana F. Clarke
- Section of Pediatrics Infectious Diseases, Boston Medical CenterBostonMassachusettsUSA
| | - Mark Mirochnick
- Department of PediatricsBoston University School of MedicineBostonMassachusettsUSA
| | | | - Edmund V. Capparelli
- Skaggs School of Pharmacy and Pharmaceutical SciencesUniversity of California, San DiegoLa JollaCaliforniaUSA
- Pediatrics Department, School of Medicine‐Rady Children's Hospital San DiegoUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Jeremiah D. Momper
- Skaggs School of Pharmacy and Pharmaceutical SciencesUniversity of California, San DiegoLa JollaCaliforniaUSA
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16
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Rowland A, Useckaite Z, Sorich MJ. The Broader Context of Liquid Biopsy in Absorption, Distribution, Metabolism, and Elimination. Clin Pharmacol Ther 2022; 112:1154. [PMID: 36112783 DOI: 10.1002/cpt.2734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 01/31/2023]
Affiliation(s)
- Andrew Rowland
- College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Zivile Useckaite
- College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Michael J Sorich
- College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
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17
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Translational proteomics and phosphoproteomics: Tissue to extracellular vesicles. Adv Clin Chem 2022; 112:119-153. [PMID: 36642482 DOI: 10.1016/bs.acc.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We are currently experiencing a rapidly developing era in terms of translational and clinical medical sciences. The relatively mature state of nucleic acid examination has significantly improved our understanding of disease mechanism and therapeutic potential of personalized treatment, but misses a large portion of phenotypic disease information. Proteins, in particular phosphorylation events that regulates many cellular functions, could provide real-time information for disease onset, progression and treatment efficacy. The technical advances in liquid chromatography and mass spectrometry have realized large-scale and unbiased proteome and phosphoproteome analyses with disease relevant samples such as tissues. However, tissue biopsy still has multiple shortcomings, such as invasiveness of sample collection, potential health risk for patients, difficulty in protein preservation and extreme heterogeneity. Recently, extracellular vesicles (EVs) have offered a great promise as a unique source of protein biomarkers for non-invasive liquid biopsy. Membranous EVs provide stable preservation of internal proteins and especially labile phosphoproteins, which is essential for effective routine biomarker detection. To aid efficient EV proteomic and phosphoproteomic analyses, recent developments showcase clinically-friendly EV techniques, facilitating diagnostic and therapeutic applications. Ultimately, we envision that with streamlined sample preparation from tissues and EVs proteomics and phosphoproteomics analysis will become routine in clinical settings.
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18
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MicroRNAs in non-alcoholic fatty liver disease: Progress and perspectives. Mol Metab 2022; 65:101581. [PMID: 36028120 PMCID: PMC9464960 DOI: 10.1016/j.molmet.2022.101581] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is a spectrum of disease ranging from simple hepatic steatosis (NAFL) to non-alcoholic steatohepatitis (NASH) which may progress to cirrhosis and liver cancer. NAFLD is rapidly becoming a global health challenge, and there is a need for improved diagnostic- and prognostic tools and for effective pharmacotherapies to treat NASH. The molecular mechanisms of NAFLD development and progression remain incompletely understood, though ample evidence supports a role of microRNAs (miRNAs) - small non-coding RNAs regulating gene expression - in the progression of metabolic liver disease. SCOPE OF REVIEW In this review, we summarise the currently available liver miRNA profiling studies in people with various stages of NAFLD. We further describe the mechanistic role of three of the most extensively studied miRNA species, miR-34a, miR-122 and miR-21, and highlight selected findings on novel NAFLD-linked miRNAs. We also examine the literature on exosomal microRNAs (exomiRs) as inter-hepatocellular or -organ messengers in NAFLD. Furthermore, we address the status for utilizing circulating NAFLD-associated miRNAs as minimally invasive tools for disease diagnosis, staging and prognosis as well as their potential use as NASH pharmacotherapeutic targets. Finally, we reflect on future directions for research in the miRNA field. MAJOR CONCLUSIONS NAFLD is associated with changes in hepatic miRNA expression patterns at early, intermediate and late stages, and specific miRNA species appear to be involved in steatosis development and NAFL progression to NASH and cirrhosis. These miRNAs act either within or between hepatocytes and other liver cell types such as hepatic stellate cells and Kupffer cells or as circulating inter-organ messengers carrying signals between the liver and extra-hepatic metabolic tissues, including the adipose tissues and the cardiovascular system. Among circulating miRNAs linked to NAFLD, miR-34a, miR-122 and miR-192 are the best candidates as biomarkers for NAFLD diagnosis and staging. To date, no miRNA-targeting pharmacotherapy has been approved for the treatment of NASH, and no such therapy is currently under clinical development. Further research should be conducted to translate the contribution of miRNAs in NAFLD into innovative therapeutic strategies.
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19
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Rodrigues AD. Reimagining the Framework Supporting the Static Analysis of Transporter Drug Interaction Risk; Integrated Use of Biomarkers to Generate
Pan‐Transporter
Inhibition Signatures. Clin Pharmacol Ther 2022; 113:986-1002. [PMID: 35869864 DOI: 10.1002/cpt.2713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/14/2022] [Indexed: 11/11/2022]
Abstract
Solute carrier (SLC) transporters present as the loci of important drug-drug interactions (DDIs). Therefore, sponsors generate in vitro half-maximal inhibitory concentration (IC50 ) data and apply regulatory agency-guided "static" methods to assess DDI risk and the need for a formal clinical DDI study. Because such methods are conservative and high false-positive rates are likely (e.g., DDI study triggered when liver SLC R value ≥ 1.04 and renal SLC maximal unbound plasma (Cmax,u )/IC50 ratio ≥ 0.02), investigators have attempted to deploy plasma- and urine-based SLC biomarkers in phase I studies to de-risk DDI and obviate the need for drug probe-based studies. In this regard, it was possible to generate in-house in vitro SLC IC50 data for various clinically (biomarker)-qualified perpetrator drugs, under standard assay conditions, and then estimate "% inhibition" for each SLC and relate it empirically to published clinical biomarker data (area under the plasma concentration vs. time curve (AUC) ratio (AUCR, AUCinhibitor /AUCreference ) and % decrease in renal clearance (ΔCLrenal )). After such a "calibration" exercise, it was determined that only compounds with high R values (> 1.5) and Cmax,u /IC50 ratios (> 0.5) are likely to significantly modulate liver (AUCR > 1.25) and renal (ΔCLrenal > 25%) biomarkers and evoke DDI risk. The % inhibition approach supports integration of liver and renal SLC data and allows one to generate pan-SLC inhibition signatures for different test perpetrators (e.g., SLC % inhibition ranking). In turn, such signatures can guide the selection of the most appropriate individual (or combinations of) biomarkers for testing in phase I studies.
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Affiliation(s)
- A. David Rodrigues
- Pharmacokinetics & Drug Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc Groton CT USA
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20
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Ahire D, Kruger L, Sharma S, Mettu VS, Basit A, Prasad B. Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine. Pharmacol Rev 2022; 74:769-796. [PMID: 35738681 DOI: 10.1124/pharmrev.121.000449] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
A reliable translation of in vitro and preclinical data on drug absorption, distribution, metabolism, and excretion (ADME) to humans is important for safe and effective drug development. Precision medicine that is expected to provide the right clinical dose for the right patient at the right time requires a comprehensive understanding of population factors affecting drug disposition and response. Characterization of drug-metabolizing enzymes and transporters for the protein abundance and their interindividual as well as differential tissue and cross-species variabilities is important for translational ADME and precision medicine. This review first provides a brief overview of quantitative proteomics principles including liquid chromatography-tandem mass spectrometry tools, data acquisition approaches, proteomics sample preparation techniques, and quality controls for ensuring rigor and reproducibility in protein quantification data. Then, potential applications of quantitative proteomics in the translation of in vitro and preclinical data as well as prediction of interindividual variability are discussed in detail with tabulated examples. The applications of quantitative proteomics data in physiologically based pharmacokinetic modeling for ADME prediction are discussed with representative case examples. Finally, various considerations for reliable quantitative proteomics analysis for translational ADME and precision medicine and the future directions are discussed. SIGNIFICANCE STATEMENT: Quantitative proteomics analysis of drug-metabolizing enzymes and transporters in humans and preclinical species provides key physiological information that assists in the translation of in vitro and preclinical data to humans. This review provides the principles and applications of quantitative proteomics in characterizing in vitro, ex vivo, and preclinical models for translational research and interindividual variability prediction. Integration of these data into physiologically based pharmacokinetic modeling is proving to be critical for safe, effective, timely, and cost-effective drug development.
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Affiliation(s)
- Deepak Ahire
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Laken Kruger
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Sheena Sharma
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Vijaya Saradhi Mettu
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Abdul Basit
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
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21
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Achour B, Gosselin P, Terrier J, Gloor Y, Al-Majdoub ZM, Polasek TM, Daali Y, Rostami-Hodjegan A, Reny JL. Liquid Biopsy for Patient Characterization in Cardiovascular Disease: Verification against Markers of Cytochrome P450 and P-Glycoprotein Activities. Clin Pharmacol Ther 2022; 111:1268-1277. [PMID: 35262906 PMCID: PMC9313840 DOI: 10.1002/cpt.2576] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/27/2022] [Indexed: 12/14/2022]
Abstract
Precision dosing strategies require accounting for between-patient variability in pharmacokinetics together with subsequent pharmacodynamic differences. Liquid biopsy is a valuable new approach to diagnose disease prior to the appearance of clinical signs and symptoms, potentially circumventing invasive tissue biopsies. However, the possibility of quantitative grading of biomarkers, as opposed to simply confirming their presence or absence, is relatively new. In this study, we aimed to verify expression measurements of cytochrome P450 (CYP) enzymes and the transporter P-glycoprotein (P-gp) in liquid biopsy against genotype and activity phenotype (assessed by the Geneva cocktail approach) in 30 acutely ill patients with cardiovascular disease in a hospital setting. After accounting for exosomal shedding, expression in liquid biopsy correlated with activity phenotype for CYP1A2, CYP2B6, CYP2C9, CYP3A, and P-gp (r = 0.44-0.70, P ≤ 0.05). Although genotype offered a degree of stratification, large variability (coefficient of variation (CV)) in activity (up to 157%) and expression in liquid biopsy (up to 117%) was observed within each genotype, indicating a mismatch between genotype and phenotype. Further, exosome screening revealed expression of 497 targets relevant to drug metabolism and disposition (159 enzymes and 336 transporters), as well as 20 molecular drug targets. Although there were no functional data available to correlate against these large-scale measurements, assessment of disease perturbation from healthy baseline was possible. Verification of liquid biopsy against activity phenotype is important to further individualize modeling approaches that aspire to achieve precision dosing from the start of drug treatment without the need for multiple rounds of dose optimization.
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Affiliation(s)
- Brahim Achour
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK
| | - Pauline Gosselin
- General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.,Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Jean Terrier
- General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.,Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Clinical Pharmacology and Toxicology, Department of Anaesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Yvonne Gloor
- Clinical Pharmacology and Toxicology, Department of Anaesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Zubida M Al-Majdoub
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK
| | - Thomas M Polasek
- Certara, Princeton, New Jersey, USA.,Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.,Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia
| | - Youssef Daali
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Clinical Pharmacology and Toxicology, Department of Anaesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Amin Rostami-Hodjegan
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK.,Certara, Princeton, New Jersey, USA
| | - Jean-Luc Reny
- General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.,Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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22
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Zhang Y, Chen SJ, Chen C, Chen XQ, Chatterjee S, Shuster DJ, Dexter H, Armstrong L, Joshi EM, Yang Z, Shen H. Repression of OATP1B Expression and Increase of Plasma Coproporphyrin Level as Evidence for OATP1B Down-regulation in Cynomolgus Monkeys Treated with Chenodeoxycholic Acid. Drug Metab Dispos 2022; 50:1077-1086. [PMID: 35636769 DOI: 10.1124/dmd.122.000875] [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: 02/21/2022] [Accepted: 05/12/2022] [Indexed: 11/22/2022] Open
Abstract
Farnesoid X receptor (FXR) is a nuclear receptor known to markedly alter expression of major transporters and enzymes in liver. However, its effects toward OATP1B1 and OATP1B3 remain poorly characterized. Therefore, the present study was aimed at determining the effects of chenodeoxycholic acid (CDCA), a naturally occurring FXR agonist, on OATP1B expression in cynomolgus monkeys. Multiple administration of 50 and 100 mg/kg CDCA was first shown to significantly repress mRNA expression of SLCO1B1/3 approximately 60% to 80% in monkey livers. It also suppressed cytochrome P450 (CYP)7A1-mRNA and induced OSTα/β-mRNA, which are well known targets of FXR and determinants of bile acid homeostasis. CDCA concomitantly decreased OATP1B protein abundance by approximately 60% in monkey liver. In contrast, multiple doses of 15 mg/kg rifampin (RIF), a pregnane X receptor (PXR) agonist, had no effect on hepatic OATP1B protein although it induced the intestinal P-gp and MR2 proteins by ~2-fold. Moreover, multiple doses of CDCA resulted in a steady ~2- to 10-fold increase of the OATP1B biomarkers coproporphyrins (CPs) in the plasma samples collected prior to each CDCA dose. Additionally, 3.4- to 11.2-fold increases of CPI and CPIII AUCs were observed after multiple administrations compared to the single dose and vehicle administration dosing groups. Taken together, these data suggest that CDCA represses the expression of OATP1B1 and OATP1B3 in monkeys. Further investigation of OATP1B down-regulation by FXR in humans is warranted, as such down-regulation effects may be involved in bile acid hemostasis and potential drug interactions in man. Significance Statement Using gene expression and proteomics tools, as well as endogenous biomarker data, for the first time, we have demonstrated that OATP1B expression was suppressed and its activity was reduced in the cynomolgus monkeys following oral administration of 50 and 100 mg/kg/day CDCA, a FXR agonist, for 8 days. These results lead to a better understanding of OATP1B down-regulation by CDCA and its role on bile acid and drug disposition.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Hong Shen
- Drug Metabolism and Pharmacokinetics, Bristol Myers Squibb, United States
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23
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Chu X, Prasad B, Neuhoff S, Yoshida K, Leeder JS, Mukherjee D, Taskar K, Varma MVS, Zhang X, Yang X, Galetin A. Clinical Implications of Altered Drug Transporter Abundance/Function and PBPK Modeling in Specific Populations: An ITC Perspective. Clin Pharmacol Ther 2022; 112:501-526. [PMID: 35561140 DOI: 10.1002/cpt.2643] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 05/09/2022] [Indexed: 12/13/2022]
Abstract
The role of membrane transporters on pharmacokinetics (PKs), drug-drug interactions (DDIs), pharmacodynamics (PDs), and toxicity of drugs has been broadly recognized. However, our knowledge of modulation of transporter expression and/or function in the diseased patient population or specific populations, such as pediatrics or pregnancy, is still emerging. This white paper highlights recent advances in studying the changes in transporter expression and activity in various diseases (i.e., renal and hepatic impairment and cancer) and some specific populations (i.e., pediatrics and pregnancy) with the focus on clinical implications. Proposed alterations in transporter abundance and/or activity in diseased and specific populations are based on (i) quantitative transporter proteomic data and relative abundance in specific populations vs. healthy adults, (ii) clinical PKs, and emerging transporter biomarker and/or pharmacogenomic data, and (iii) physiologically-based pharmacokinetic modeling and simulation. The potential for altered PK, PD, and toxicity in these populations needs to be considered for drugs and their active metabolites in which transporter-mediated uptake/efflux is a major contributor to their absorption, distribution, and elimination pathways and/or associated DDI risk. In addition to best practices, this white paper discusses current challenges and knowledge gaps to study and quantitatively predict the effects of modulation in transporter activity in these populations, together with the perspectives from the International Transporter Consortium (ITC) on future directions.
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Affiliation(s)
- Xiaoyan Chu
- Department of ADME and Discovery Toxicology, Merck & Co., Inc., Kenilworth, New Jersey, USA
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | | | - Kenta Yoshida
- Clinical Pharmacology, Genentech Research and Early Development, South San Francisco, California, USA
| | - James Steven Leeder
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Dwaipayan Mukherjee
- Clinical Pharmacology & Pharmacometrics, Research & Development, AbbVie, Inc., North Chicago, Illinois, USA
| | | | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Xinyuan Zhang
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Xinning Yang
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, The University of Manchester, Manchester, UK
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24
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Giacomini KM, Yee SW, Koleske ML, Zou L, Matsson P, Chen EC, Kroetz DL, Miller MA, Gozalpour E, Chu X. New and Emerging Research on Solute Carrier and ATP Binding Cassette Transporters in Drug Discovery and Development: Outlook from the International Transporter Consortium. Clin Pharmacol Ther 2022; 112:540-561. [PMID: 35488474 PMCID: PMC9398938 DOI: 10.1002/cpt.2627] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/16/2022] [Indexed: 02/06/2023]
Abstract
Enabled by a plethora of new technologies, research in membrane transporters has exploded in the past decade. The goal of this state‐of‐the‐art article is to describe recent advances in research on membrane transporters that are particularly relevant to drug discovery and development. This review covers advances in basic, translational, and clinical research that has led to an increased understanding of membrane transporters at all levels. At the basic level, we describe the available crystal structures of membrane transporters in both the solute carrier (SLC) and ATP binding cassette superfamilies, which has been enabled by the development of cryogenic electron microscopy methods. Next, we describe new research on lysosomal and mitochondrial transporters as well as recently deorphaned transporters in the SLC superfamily. The translational section includes a summary of proteomic research, which has led to a quantitative understanding of transporter levels in various cell types and tissues and new methods to modulate transporter function, such as allosteric modulators and targeted protein degraders of transporters. The section ends with a review of the effect of the gut microbiome on modulation of transporter function followed by a presentation of 3D cell cultures, which may enable in vivo predictions of transporter function. In the clinical section, we describe new genomic and pharmacogenomic research, highlighting important polymorphisms in transporters that are clinically relevant to many drugs. Finally, we describe new clinical tools, which are becoming increasingly available to enable precision medicine, with the application of tissue‐derived small extracellular vesicles and real‐world biomarkers.
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Affiliation(s)
- Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Sook W Yee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Megan L Koleske
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Ling Zou
- Pharmacokinetics and Drug Metabolism, Amgen Inc., South San Francisco, California, USA
| | - Pär Matsson
- Department of Pharmacology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eugene C Chen
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA
| | - Deanna L Kroetz
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Miles A Miller
- Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Elnaz Gozalpour
- Drug Safety and Metabolism, IMED Biotech Unit, Safety and ADME Translational Sciences Department, AstraZeneca R&D, Cambridge, UK
| | - Xiaoyan Chu
- Department of ADME and Discovery Toxicology, Merck & Co. Inc, Kenilworth, New Jersey, USA
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25
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Newman LA, Muller K, Rowland A. Circulating cell-specific extracellular vesicles as biomarkers for the diagnosis and monitoring of chronic liver diseases. Cell Mol Life Sci 2022; 79:232. [PMID: 35397694 PMCID: PMC8995281 DOI: 10.1007/s00018-022-04256-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/02/2022] [Accepted: 03/17/2022] [Indexed: 11/30/2022]
Abstract
AbstractChronic liver diseases represent a burgeoning health problem affecting billions of people worldwide. The insufficient performance of current minimally invasive tools is recognised as a significant barrier to the clinical management of these conditions. Extracellular vesicles (EVs) have emerged as a rich source of circulating biomarkers closely linked to pathological processes in originating tissues. Here, we summarise the contribution of EVs to normal liver function and to chronic liver pathologies; and explore the use of circulating EV biomarkers, with a particular focus on techniques to isolate and analyse cell- or tissue-specific EVs. Such approaches present a novel strategy to inform disease status and monitor changes in response to treatment in a minimally invasive manner. Emerging technologies that support the selective isolation and analysis of circulating EVs derived only from hepatic cells, have driven recent advancements in EV-based biomarker platforms for chronic liver diseases and show promise to bring these techniques to clinical settings.
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Affiliation(s)
- Lauren A Newman
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Kate Muller
- Department of Gastroenterology and Hepatology, College of Medicine and Public Health, Flinders Medical Centre, Adelaide, SA, Australia
| | - Andrew Rowland
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
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26
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Brouwer KLR, Evers R, Hayden E, Hu S, Li CY, Meyer Zu Schwabedissen HE, Neuhoff S, Oswald S, Piquette-Miller M, Saran C, Sjöstedt N, Sprowl JA, Stahl SH, Yue W. Regulation of Drug Transport Proteins-From Mechanisms to Clinical Impact: A White Paper on Behalf of the International Transporter Consortium. Clin Pharmacol Ther 2022; 112:461-484. [PMID: 35390174 PMCID: PMC9398928 DOI: 10.1002/cpt.2605] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/20/2022] [Indexed: 12/14/2022]
Abstract
Membrane transport proteins are involved in the absorption, disposition, efficacy, and/or toxicity of many drugs. Numerous mechanisms (e.g., nuclear receptors, epigenetic gene regulation, microRNAs, alternative splicing, post‐translational modifications, and trafficking) regulate transport protein levels, localization, and function. Various factors associated with disease, medications, and dietary constituents, for example, may alter the regulation and activity of transport proteins in the intestine, liver, kidneys, brain, lungs, placenta, and other important sites, such as tumor tissue. This white paper reviews key mechanisms and regulatory factors that alter the function of clinically relevant transport proteins involved in drug disposition. Current considerations with in vitro and in vivo models that are used to investigate transporter regulation are discussed, including strengths, limitations, and the inherent challenges in predicting the impact of changes due to regulation of one transporter on compensatory pathways and overall drug disposition. In addition, translation and scaling of in vitro observations to in vivo outcomes are considered. The importance of incorporating altered transporter regulation in modeling and simulation approaches to predict the clinical impact on drug disposition is also discussed. Regulation of transporters is highly complex and, therefore, identification of knowledge gaps will aid in directing future research to expand our understanding of clinically relevant molecular mechanisms of transporter regulation. This information is critical to the development of tools and approaches to improve therapeutic outcomes by predicting more accurately the impact of regulation‐mediated changes in transporter function on drug disposition and response.
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Affiliation(s)
- Kim L R Brouwer
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Raymond Evers
- Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania, USA
| | - Elizabeth Hayden
- Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Shuiying Hu
- College of Pharmacy, The Ohio State University, Columbus, Ohio, USA
| | | | | | | | - Stefan Oswald
- Institute of Pharmacology and Toxicology, Rostock University Medical Center, Rostock, Germany
| | | | - Chitra Saran
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Noora Sjöstedt
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Jason A Sprowl
- Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Simone H Stahl
- CVRM Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Wei Yue
- College of Pharmacy, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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27
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Muraoka S, Hirano M, Isoyama J, Nagayama S, Tomonaga T, Adachi J. Comprehensive proteomic profiling of plasma and serum phosphatidylserine-positive extracellular vesicles reveals tissue-specific proteins. iScience 2022; 25:104012. [PMID: 35340435 PMCID: PMC8941215 DOI: 10.1016/j.isci.2022.104012] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/15/2022] [Accepted: 02/25/2022] [Indexed: 11/24/2022] Open
Abstract
Extracellular vesicles (EVs) are ubiquitously secreted by almost all tissues and carry many cargoes, including proteins, RNAs, and lipids, which are related to various biological processes. EVs are shed from tissues into the blood and expected to be used as biomarkers for diseases. Here, we isolated EVs from EDTA plasma and serum of six healthy subjects by an affinity capture isolation method, and a total of 4,079 proteins were successfully identified by comprehensive EV proteomics. Our reliable and detailed catalog of the differential expression profiles of EV proteins in plasma and serum between healthy individuals could be useful as a reference for biomarker discovery. Furthermore, tissue-specific protein groups co-regulated between blood EVs from healthy individuals were identified. These EV proteins are expected to be used for more specific and sensitive enrichment of tissue-specific EVs and for screening and monitoring of disease without diagnostic imaging in patient blood in the future. Catalog of EV proteome created by state-of-the-art proteome analysis technologies Plasma and serum EV proteome profiles showed a difference in healthy individuals Novel standard reference proteins in plasma and serum EVs were identified Tissue-specific EV marker candidates were presented by the informatics approach
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Affiliation(s)
- Satoshi Muraoka
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Masayo Hirano
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Junko Isoyama
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Satoshi Nagayama
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Takeshi Tomonaga
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Jun Adachi
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
- Laboratory of Clinical and Analytical Chemistry, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
- Laboratory of Proteomics and Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
- Corresponding author
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The Potential Application of Extracellular Vesicles from Liquid Biopsies for Determination of Pharmacogene Expression. Pharmaceuticals (Basel) 2022; 15:ph15020252. [PMID: 35215364 PMCID: PMC8879428 DOI: 10.3390/ph15020252] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 02/04/2023] Open
Abstract
Pharmacogenomics (PGx) entails the study of heritability of drug response. This may include both variability in genes related to pharmacokinetics (drug absorption, distribution, metabolism and excretion) and pharmacodynamics (e.g., drug receptors or signaling pathways). Individualizing drug therapy taking into account the genetic profile of the patient has the potential to make drug therapy safer and more effective. Currently, this approach relies on the determination of genetic variants in pharmacogenes by genotyping. However, it is widely acknowledged that large variability in gene expression is attributed to non-structural genetic variants. Therefore, at least from a theoretical viewpoint individualizing drug therapy based upon expression of pharmacogenes rather than on genotype may be advantageous but has been difficult to implement in the clinical setting. Extracellular vesicles (EVs) are lipid encapsulated structures that contain cargo such as lipids, nucleic acids and proteins. Since their cargo is tissue- and cell-specific they can be used to determine the expression of pharmacogenes in the liver. In this review, we describe methods of EV isolation and the potential of EVs isolated from liquid biopsies as a tool to determine the expression of pharmacogenes for use in personalized medicine.
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Rodrigues AD, Wood LS, Vourvahis M, Rowland A. Leveraging Human Plasma-Derived Small Extracellular Vesicles as Liquid Biopsy to Study the Induction of Cytochrome P450 3A4 by Modafinil. Clin Pharmacol Ther 2022; 111:425-434. [PMID: 34623637 DOI: 10.1002/cpt.2440] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/03/2021] [Indexed: 01/01/2023]
Abstract
Preparations of plasma-derived small extracellular vesicles (sEVs) were deployed as liquid biopsy to study cytochrome P450 (CYP) 3A4 (CYP3A4) induction following modafinil 400 mg once daily × 14 days (young healthy volunteers, N = 10 subjects). Induction was confirmed using the 4β-hydroxycholesterol-to-cholesterol (4βHC/C) ratio, a plasma CYP3A4/5 biomarker, with a mean 2.1-fold increase (Day 15 vs. Day 1; 90% confidence interval (CI) = 1.8-2.3; P value = 0.0004). Proteomic analysis revealed the induction (mean Day 15 vs. Day 1 fold-increase (90% CI)) of both liver (1.3 (1.1-1.5), P value = 0.014) and nonliver (1.9 (1.6-2.2), P value = 0.04) sEV CYP3A4 protein expression. In CYP3A5 nonexpresser subjects, the baseline (pre-dose) 4βHC/C plasma ratio was more highly correlated with liver sEVs (r = 0.937, P value = 0.001) than nonliver sEVs (r = 0.619, P value = 0.101) CYP3A4 protein expression. When CYP3A5 expressers (CYP3A5*1/*3) were included, the correlation with liver sEVs (r = 0.761, P value = 0.011) and nonliver sEVs (r = 0.391, P value = 0.264) CYP3A4 protein was weaker. Although modafinil-induced changes in plasma 4βHC/C ratio did not correlate with sEVs CYP3A4 protein expression, the individual subject sEVs proteomic data were used successfully to predict victim drug (midazolam, triazolam, dextromethorphan, 17α-ethinylestradiol, and abemaciclib) area under the plasma concentration-time curve (AUC) ratios (AUCRs) following modafinil. Based on the AUCR values, modafinil was classified as a weak to moderate CYP3A4 inducer (vs. rifampicin). For the first time, it was possible to deploy plasma-derived sEVs to study CYP3A4 induction beyond rifampicin, a more potent CYP3A4 inducer.
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Affiliation(s)
- A David Rodrigues
- Absorption, Distribution, Metabolism, and Elimination Sciences, Medicine Design, Worldwide Research & Development, Pfizer Inc, Groton, Connecticut, USA
| | - Linda S Wood
- Pharmacogenomics, Precision Medicine, Worldwide Research & Development, Pfizer Inc, Groton, Connecticut, USA
| | - Manoli Vourvahis
- Clinical Pharmacology, Global Product Development, Pfizer Inc, New York, New York, USA
| | - Andrew Rowland
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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Newman LA, Useckaite Z, Johnson J, Sorich MJ, Hopkins AM, Rowland A. Selective Isolation of Liver-Derived Extracellular Vesicles Redefines Performance of miRNA Biomarkers for Non-Alcoholic Fatty Liver Disease. Biomedicines 2022; 10:biomedicines10010195. [PMID: 35052873 PMCID: PMC8773667 DOI: 10.3390/biomedicines10010195] [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: 10/15/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 02/04/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Definitive diagnosis of the progressive form, non-alcoholic steatohepatitis (NASH), requires liver biopsy, which is highly invasive and unsuited to early disease or tracking changes. Inadequate performance of current minimally invasive tools is a critical barrier to managing NAFLD burden. Altered circulating miRNA profiles show potential for minimally invasive tracking of NAFLD. The selective isolation of the circulating extracellular vesicle subset that originates from hepatocytes presents an important opportunity for improving the performance of miRNA biomarkers of liver disease. The expressions of miR-122, -192, and -128-3p were quantified in total cell-free RNA, global EVs, and liver-specific EVs from control, NAFL, and NASH subjects. In ASGR1+ EVs, each miR biomarker trended positively with disease severity and expression was significantly higher in NASH subjects compared with controls. The c-statistic defining the performance of ASGR1+ EV derived miRNAs was invariably >0.78. This trend was not observed in the alternative sources. This study demonstrates the capacity for liver-specific isolation to transform the performance of EV-derived miRNA biomarkers for NAFLD, robustly distinguishing patients with NAFL and NASH.
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Affiliation(s)
- Lauren A. Newman
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (L.A.N.); (Z.U.); (M.J.S.); (A.M.H.)
| | - Zivile Useckaite
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (L.A.N.); (Z.U.); (M.J.S.); (A.M.H.)
| | - Jillian Johnson
- Early Clinical Development, Pfizer Global Research and Development, Groton, CT 06340, USA;
| | - Michael J. Sorich
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (L.A.N.); (Z.U.); (M.J.S.); (A.M.H.)
| | - Ashley M. Hopkins
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (L.A.N.); (Z.U.); (M.J.S.); (A.M.H.)
| | - Andrew Rowland
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (L.A.N.); (Z.U.); (M.J.S.); (A.M.H.)
- Correspondence: ; Tel.: +61-882-047-546
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31
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Robbins JA, Menzel K, Lassman M, Zhao T, Fancourt C, Chu X, Mostoller K, Witter R, Marceau West R, Stoch SA, McCrea JB, Iwamoto M. Acute and Chronic Effects of Rifampin on Letermovir Suggest Transporter Inhibition and Induction Contribute to Letermovir Pharmacokinetics. Clin Pharmacol Ther 2021; 111:664-675. [PMID: 34888851 DOI: 10.1002/cpt.2510] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 12/06/2021] [Indexed: 11/06/2022]
Abstract
Rifampin has acute inhibitory and chronic inductive effects that can cause complex drug-drug interactions. Rifampin inhibits transporters including organic-anion-transporting polypeptide (OATP)1B and P-glycoprotein (P-gp), and induces enzymes and transporters including cytochrome P450 3A, UDP-glucuronosyltransferase (UGT)1A, and P-gp. This study aimed at separating inhibitory and inductive effects of rifampin on letermovir disposition and elimination (indicated for cytomegalovirus prophylaxis in hematopoietic stem cell transplant recipients). Letermovir is a substrate of UGT1A1/3, P-gp, and OATP1B, with its clearance primarily mediated by OATP1B. Letermovir (single-dose) administered with rifampin (single-dose) resulted in increased letermovir exposure through transporter inhibition. Chronic coadministration with rifampin (inhibition plus potential OATP1B induction) resulted in modestly decreased letermovir exposure versus letermovir alone. Letermovir administered 24 hours after last rifampin dose (potential OATP1B induction) resulted in markedly decreased letermovir exposure. These data suggest rifampin may induce transporters that clear letermovir; the modestly reduced letermovir exposure with chronic rifampin coadministration likely reflects the net effect of inhibition and induction. OATP1B endogenous biomarkers coproporphyrin (CP) I and glycochenodeoxycholic acid-sulfate (GCDCA-S) were also analyzed; their exposures increased after single-dose rifampin plus letermovir, consistent with OATP1B inhibition and prior reports of inhibition by rifampin alone. CP I and GCDCA-S exposures were substantially reduced with letermovir administered 24 hours after the last dose of rifampin versus letermovir plus chronic rifampin coadministration, This study suggests that OATP1B induction may contribute to reduced letermovir exposure after chronic rifampin administration, although given the complexity of letermovir disposition, alternative mechanisms are not fully excluded.
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Affiliation(s)
| | | | | | - Tian Zhao
- Merck & Co., Inc., Kenilworth, NJ, USA
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32
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Hariparsad N, Ramsden D, Taskar K, Badée J, Venkatakrishnan K, Reddy MB, Cabalu T, Mukherjee D, Rehmel J, Bolleddula J, Emami Riedmaier A, Prakash C, Chanteux H, Mao J, Umehara K, Shah K, De Zwart L, Dowty M, Kotsuma M, Li M, Pilla Reddy V, McGinnity DF, Parrott N. Current Practices, Gap Analysis, and Proposed Workflows for PBPK Modeling of Cytochrome P450 Induction: An Industry Perspective. Clin Pharmacol Ther 2021; 112:770-781. [PMID: 34862964 DOI: 10.1002/cpt.2503] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/18/2021] [Indexed: 12/21/2022]
Abstract
The International Consortium for Innovation and Quality (IQ) Physiologically Based Pharmacokinetic (PBPK) Modeling Induction Working Group (IWG) conducted a survey across participating companies around general strategies for PBPK modeling of induction, including experience with its utility to address various questions, regulatory interactions, and regulatory acceptance. The results highlight areas where PBPK modeling is used with high confidence and identifies opportunities where confidence is lower and further evaluation is needed. To enhance the survey results, the PBPK-IWG also collected case studies and analyzed recent literature examples where PBPK models were applied to predict CYP3A induction-mediated drug-drug interactions. PBPK modeling of induction has evolved and progressed significantly, proving to have great potential to accelerate drug discovery and development. With the aim of enabling optimal use for new molecular entities that are either substrates and/or inducers of CYP3A, the PBPK-IWG proposes initial workflows for PBPK application, discusses future trends, and identifies gaps that need to be addressed.
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Affiliation(s)
- Niresh Hariparsad
- DMPK, Research and Early Development, Oncology R&D, AstraZeneca, Boston, Massachusetts, USA
| | - Diane Ramsden
- Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA
| | - Kunal Taskar
- Drug Metabolism and Pharmacokinetics, IVIVT, GlaxoSmithKline, Stevenage, UK
| | - Justine Badée
- PK Sciences, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Karthik Venkatakrishnan
- EMD Serono Research & Development Institute, Inc, Billerica, Massachusetts, USA.,Merck KGaA, Darmstadt, Germany
| | - Micaela B Reddy
- Department of Clinical Pharmacology, Oncology, Pfizer, Boulder, Colorado, USA
| | | | - Dwaipayan Mukherjee
- Clinical Pharmacology & Pharmacometrics, AbbVie, Inc., North Chicago, Illinois, USA
| | - Jessica Rehmel
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Jayaprakasam Bolleddula
- EMD Serono Research & Development Institute, Inc, Billerica, Massachusetts, USA.,Merck KGaA, Darmstadt, Germany
| | | | | | | | - Jialin Mao
- Department of Drug Metabolism and Pharmacokinetics, Genentech, A Member of the Roche Group, South San Francisco, California, USA
| | - Kenichi Umehara
- Pharmaceutical Sciences, Roche Pharma Research & Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Kushal Shah
- Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA
| | | | - Martin Dowty
- Department of Pharmacokinetics, Dynamic, and Metabolism, Pfizer, Cambridge, Massachusetts, USA
| | - Masakatsu Kotsuma
- Quantitative Clinical Pharmacology, Daiichi-Sankyo, Inc., New Jersey, USA
| | - Mengyao Li
- Pharmacokinetics, Dynamics and Metabolism, Sanofi, Bridgewater, New Jersey, USA
| | - Venkatesh Pilla Reddy
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Dermot F McGinnity
- DMPK, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Neil Parrott
- Pharmaceutical Sciences, Roche Pharma Research & Early Development, Roche Innovation Center Basel, Basel, Switzerland
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33
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Shi J, Xiao J, Wang X, Jung SM, Bleske BE, Markowitz JS, Patrick KS, Zhu HJ. Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism. Clin Pharmacol Ther 2021; 111:878-885. [PMID: 34743324 DOI: 10.1002/cpt.2486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 10/27/2021] [Indexed: 12/11/2022]
Abstract
Hepatic drug-metabolizing enzymes (DMEs) play critical roles in determining the pharmacokinetics and pharmacodynamics of numerous therapeutic agents. As such, noninvasive biomarkers capable of predicting DME expression in the liver have the potential to be used to personalize pharmacotherapy and improve drug treatment outcomes. In the present study, we quantified carboxylesterase 1 (CES1) protein concentrations in plasma samples collected during a methylphenidate pharmacokinetics study. CES1 is a prominent hepatic enzyme responsible for the metabolism of many medications containing small ester moieties, including methylphenidate. The results revealed a significant inverse correlation between plasma CES1 protein concentrations and the area under the concentration-time curves (AUCs) of plasma d-methylphenidate (P = 0.014, r = -0.617). In addition, when plasma CES1 protein levels were normalized to the plasma concentrations of 24 liver-enriched proteins to account for potential interindividual differences in hepatic protein release rate, the correlation was further improved (P = 0.003, r = -0.703), suggesting that plasma CES1 protein could explain ~ 50% of the variability in d-methylphenidate AUCs in the study participants. A physiologically-based pharmacokinetic modeling simulation revealed that the CES1-based individualized dosing strategy might significantly reduce d-methylphenidate exposure variability in pediatric patients relative to conventional trial and error fixed dosing regimens. This proof-of-concept study indicates that the plasma protein of a hepatic DME may serve as a biomarker for predicting its metabolic function and the pharmacokinetics of its substrate drugs.
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Affiliation(s)
- Jian Shi
- Department of Clinical Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Jingcheng Xiao
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Xinwen Wang
- Department of Pharmaceutical Sciences, Northeast Ohio Medical University, Rootstown, Ohio, USA
| | - Sun Min Jung
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Barry E Bleske
- Department of Pharmacy Practice and Administrative Sciences, The University of New Mexico, Albuquerque, New Mexico, USA
| | - John S Markowitz
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida, USA
| | - Kennerly S Patrick
- Department of Drug Discovery and Biomedical Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Hao-Jie Zhu
- Department of Clinical Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
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Kapetas AJ, Abuhelwa AY, Sorich MJ, McKinnon RA, Rodrigues AD, Rowland A, Hopkins AM. Evidence-Based Guidelines for Drug Interaction Studies: Model-Informed Time Course of Intestinal and Hepatic CYP3A4 Inhibition by Clarithromycin. AAPS JOURNAL 2021; 23:104. [PMID: 34467456 DOI: 10.1208/s12248-021-00632-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/29/2021] [Indexed: 01/10/2023]
Abstract
Drug-drug interaction (DDI) studies are mandated in drug development; however, protocols for evaluating the impact of cytochrome P450 (CYP) inhibition on new molecular entities are currently inconsistent. This study utilised validated physiologically based pharmacokinetic (PBPK) software to define the optimal dose, frequency, and duration of clarithromycin to achieve optimal characterisation of CYP3A4 inhibition in a study population. The Simcyp® Simulator (Version 19.0) was used to simulate clarithromycin-mediated CYP3A4 inhibition in healthy virtual cohorts. Between trial variability in magnitude and time course of CYP3A4 activity was assessed following clarithromycin dosing strategies obtained from the University of Washington Drug Interaction Database. Heterogeneity in CYP3A4 inhibition was evaluated across sex, race, and age. Literature review identified 500 mg twice daily for 5 days as the most common clarithromycin dosing protocol for CYP3A4 inhibition studies. On simulation, clarithromycin 500 mg twice daily resulted in the largest steady-state inhibition of hepatic (percent mean inhibition [95%CI] = 80 [77-83]) and small intestine (94 [94-95]) CYP3A4 activity (as compared to 500 mg once daily, 400 mg once/twice daily, or 250 mg once/twice daily). Additionally, 500 mg twice daily was associated with the shortest time for 90% of individuals to reach 90% of their minimum hepatic (4 days) and small intestine (1 days) CYP3A4 activity. The study presented herein supports that clarithromycin dosing protocol of 500 mg twice daily for 5 days is sufficient to achieve maximal hepatic and small intestine CYP3A4 inhibition. These findings were consistent between sex, race, and age differences.
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Affiliation(s)
- Asha J Kapetas
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia
| | - Ahmad Y Abuhelwa
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia.
| | - Michael J Sorich
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia
| | - Ross A McKinnon
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia
| | - A David Rodrigues
- ADME Science, Pfizer Worldwide Research and Development, Groton, CT, USA
| | - Andrew Rowland
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia
| | - Ashley M Hopkins
- College of Medicine and Public Health, Flinders University, Adelaide, SA, 5042, Australia
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35
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Useckaite Z, Rodrigues AD, Hopkins AM, Newman LA, Johnson JG, Sorich MJ, Rowland A. Role of extracellular vesicle derived biomarkers in drug metabolism and disposition. Drug Metab Dispos 2021; 49:961-971. [PMID: 34353847 DOI: 10.1124/dmd.121.000411] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 07/28/2021] [Indexed: 11/22/2022] Open
Abstract
Extracellular vesicles (EVs) are small, non-replicating, lipid encapsulated particles that contain a myriad of protein and nucleic acid cargo derived from their tissue of origin. The potential role of EV derived biomarkers to the study of drug metabolism and disposition (DMD) has gained attention in recent years. The key trait that makes EVs an attractive biomarker source is their capacity to provide comparable insights to solid organ biopsy through an appreciably less invasive collection procedure. Blood-derived EVs exist as a heterogenous milieu of biologically distinct particles originating from different sources through different biogenesis pathways. Furthermore, blood (plasma and serum) contains an array of vesicular and non-vesicular contaminants such as apoptotic bodies, plasma proteins and lipoproteins that are routinely co-isolated with EVs albeit to a different extent depending on the isolation technique. The following mini-review summarises current studies reporting DMD biomarkers and addresses elements of EV isolation and quantification relevant to the application of EV derived DMD biomarkers. Evidence based best practice guidance aligned to Minimum Information for the Study of Extracellular Vesicles (MISEV) and EV Track reporting standards are summarised in the context of DMD studies. Significance Statement Extracellular vesicle (EV) derived protein and nucleic acid cargo represent a potentially game changing source of novel DMD biomarkers with the capacity to define within- and between- individual variability in drug exposure irrespective of aetiology. However, robust translation of EV-derived biomarkers requires the generation of transparent reproducible evidence. This review outlines the critical elements of data generation and reporting relevant to achieving this evidence in a drug metabolism and disposition context.
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Chothe PP, Nakakariya M, Rotter CJ, Sandoval P, Tohyama K. Recent Advances in Drug Transporter Sciences: Highlights From the Year 2020. Drug Metab Rev 2021; 53:321-349. [PMID: 34346798 DOI: 10.1080/03602532.2021.1963270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Drug Metabolism Reviews has an impressive track record of providing scientific reviews in the area of xenobiotic biotransformation over 47 years. It has consistently proved to be resourceful to many scientists from pharmaceutical industry, academia, regulatory agencies working in diverse areas including enzymology, pharmacology, pharmacokinetics and toxicology. Over the last 5 years Drug metabolism Reviews has annually published an industry commentary aimed to highlight novel insights and approaches that have made significant impacts on the field of biotransformation (led by Cyrus Khojasteh). We hope to continue this tradition by providing an overview of advances made in the field of drug transporters during 2020. The field of drug transporters is rapidly evolving as they play an essential role in drug absorption, distribution, clearance and elimination. In this review we have selected outstanding drug transporter articles that have significantly contributed to moving forward the field of transporter science with respect to translation and improved understanding of diverse aspects including uptake clearance, clinical biomarkers, induction, proteomics, emerging transporters and tissue targeting.The theme of this review consists of synopsis that summarizes each article followed by our commentary. The objective of this work is not to provide a comprehensive review but rather exemplify novel insights and state-of-the-art highlights of recent research that have advanced our understanding of drug transporters in drug disposition. We are hopeful that this effort will prove useful to the scientific community and as such request feedback, and further extend an invitation to anyone interested in contributing to future reviews.
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Affiliation(s)
- Paresh P Chothe
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
| | - Masanori Nakakariya
- Drug Metabolism and Pharmacokinetics Research Laboratories, Takeda Pharmaceutical Company Limited, 26-1, Muraoka-Higashi 2-Chrome, Fujisawa, Kanagawa, 251-8555, Japan
| | - Charles J Rotter
- Global Drug Metabolism and Pharmacokinetics, Takeda California Incorporated, 9625 Towne Centre Drive, San Diego, California, 92121, USA
| | - Philip Sandoval
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
| | - Kimio Tohyama
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
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