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Staropoli N, Scionti F, Farenza V, Falcone F, Luciano F, Renne M, Di Martino MT, Ciliberto D, Tedesco L, Crispino A, Labanca C, Cucè M, Esposito S, Agapito G, Cannataro M, Tassone P, Tagliaferri P, Arbitrio M. Identification of ADME genes polymorphic variants linked to trastuzumab-induced cardiotoxicity in breast cancer patients: Case series of mono-institutional experience. Biomed Pharmacother 2024; 174:116478. [PMID: 38547766 DOI: 10.1016/j.biopha.2024.116478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Long-term survival induced by anticancer treatments discloses emerging frailty among breast cancer (BC) survivors. Trastuzumab-induced cardiotoxicity (TIC) is reported in at least 5% of HER2+BC patients. However, TIC mechanism remains unclear and predictive genetic biomarkers are still lacking. Interaction between systemic inflammation, cytokine release and ADME genes in cancer patients might contribute to explain mechanisms underlying individual susceptibility to TIC and drug response variability. We present a single institution case series to investigate the potential role of genetic variants in ADME genes in HER2+BC patients TIC experienced. METHODS We selected data related to 40 HER2+ BC patients undergone to DMET genotyping of ADME constitutive variant profiling, with the aim to prospectively explore their potential role in developing TIC. Only 3 patients ("case series"), who experienced TIC, were compared to 37 "control group" matched patients cardiotoxicity-sparing. All patients underwent to left ventricular ejection fraction (LVEF) evaluation at diagnosis and during anti-HER2 therapy. Each single probe was clustered to detect SNPs related to cardiotoxicity. RESULTS In this retrospective analysis, our 3 cases were homogeneous in terms of clinical-pathological characteristics, trastuzumab-based treatment and LVEF decline. We identified 9 polymorphic variants in 8 ADME genes (UGT1A1, UGT1A6, UGT1A7, UGT2B15, SLC22A1, CYP3A5, ABCC4, CYP2D6) potentially associated with TIC. CONCLUSION Real-world TIC incidence is higher compared to randomized clinical trials and biomarkers with potential predictive value aren't available. Our preliminary data, as proof of concept, could suggest a predictive role of pharmacogenomic approach in the identification of cardiotoxicity risk biomarkers for anti-HER2 treatment.
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Affiliation(s)
- Nicoletta Staropoli
- Medical Oncology Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy; Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
| | - Francesca Scionti
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Valentina Farenza
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Federica Falcone
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Francesco Luciano
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Maria Renne
- Surgery Unit, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy
| | - Maria Teresa Di Martino
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Domenico Ciliberto
- Medical Oncology Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy
| | - Ludovica Tedesco
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Antonella Crispino
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Caterina Labanca
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Maria Cucè
- Medical Oncology Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy
| | - Stefania Esposito
- Pharmacy Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Campus Salvatore Venuta, Catanzaro, Italy
| | - Giuseppe Agapito
- Department of Law, Economics and Sociology, Magna Graecia University of Catanzaro, Catanzaro 88100, Italy; Data Analytics Research Center, Magna Graecia University of Catanzaro, Catanzaro 88100, Italy
| | - Mario Cannataro
- Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Catanzaro 88100, Italy
| | - Pierfrancesco Tassone
- Medical Oncology Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy; Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Pierosandro Tagliaferri
- Medical Oncology Unit, R. Dulbecco (Mater Domini facility), Teaching Hospital, Magna Græcia University and Cancer Center, Campus Salvatore Venuta, Catanzaro, Italy; Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
| | - Mariamena Arbitrio
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Catanzaro 88100, Italy.
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Cherifi F, Da Silva A, Martins-Branco D, Awada A, Nader-Marta G. Pharmacokinetics and pharmacodynamics of antibody-drug conjugates for the treatment of patients with breast cancer. Expert Opin Drug Metab Toxicol 2024; 20:45-59. [PMID: 38214896 DOI: 10.1080/17425255.2024.2302460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/03/2024] [Indexed: 01/13/2024]
Abstract
INTRODUCTION Currently three antibody-drug-conjugates (ADC) are approved by the European Medicines Agency (EMA) for treatment of breast cancer (BC) patient: trastuzumab-emtansine, trastuzumab-deruxtecan and sacituzumab-govitecan. ADC are composed of a monoclonal antibody (mAb) targeting a specific antigen, a cytotoxic payload and a linker. Pharmacokinetics (PK) and pharmacodynamics (PD) distinguish ADC from conventional chemotherapy and must be understood by clinicians. AREAS COVERED Our review delineates the PK/PD profiles of ADC approved for the treatment of BC with insight for future development. This is an expert opinion literature review based on the EMA's Assessment Reports, enriched by a comprehensive literature search performed on Medline in August 2023. EXPERT OPINION All three ADC distributions are described by a two-compartment structure: tissue and serum. Payload concentration peak is immediate but remains at low concentration. The distribution varied for all ADC only with body weight. mAb will be metabolised firstly by the saturable complex formation of ADC/Tumour-Receptor and secondly by binding of FcgRs in immune cells. They are all excreted in the bile and faeces with minimal urine elimination. Dose adjustments, apart from weight, are not recommended. Novel ADC are composed of cleavable linkers with various targets/payloads with the same PK/PD properties, but novel structures of ADC are in development.
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Affiliation(s)
- François Cherifi
- Oncology Medicine Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Breast Cancer Unit, CLCC François Baclesse, Institut Normand du Sein, Caen, France
| | - Angélique Da Silva
- Departments of Pharmacology and Medical Oncology, Caen-Normandy University Hospital, PICARO Cardio-Oncology Program, Normandie Univ, UNICAEN, INSERM U1086 ANTICIPE, Caen, France
| | - Diogo Martins-Branco
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium
| | - Ahmad Awada
- Oncology Medicine Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Guilherme Nader-Marta
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium
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Huang X, Hu B, Ye L, Li T, He L, Tan W, Yang G, Liu JP, Guo C. Pharmacogenomics and adverse effects of anti-infective drugs in children. Clin Exp Pharmacol Physiol 2024; 51:3-9. [PMID: 37840030 DOI: 10.1111/1440-1681.13830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 08/23/2023] [Accepted: 09/25/2023] [Indexed: 10/17/2023]
Abstract
Children, as a special group, have their own peculiarities in terms of individualized medication use compared to adults. Adverse drug reactions have been an important issue that needs to be addressed in the hope of safe medication use in children, and the occurrence of adverse drug reactions is partly due to genetic factors. Anti-infective drugs are widely used in children, and they have always been an important cause of the occurrence of adverse reactions in children. Pharmacogenomic technologies are becoming increasingly sophisticated, and there are now many guidelines describing the pharmacogenomics of anti-infective drugs. However, data from paediatric-based studies are scarce. This review provides a systematic review of the pharmacogenomics of anti-infective drugs recommended for gene-guided use in CPIC guidelines by exploring the relationship between pharmacogenetic frequencies and the incidence of adverse reactions, which will help inform future studies of individualized medication use in children.
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Affiliation(s)
- Xin Huang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Biwen Hu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ling Ye
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Tong Li
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Li He
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Wei Tan
- Department of Neonatology, Maternal & Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guoping Yang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jun-Ping Liu
- Institute of Aging Research, Hangzhou Normal University School of Medicine, Zhejiang, China
- Department of Immunology, Monash University Faculty of Medicine, Prahran, Victoria, Australia
| | - Chengxian Guo
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
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Kengo A, Nabisere R, Gausi K, Musaazi J, Buzibye A, Omali D, Aarnoutse R, Lamorde M, Dooley KE, Sloan DJ, Denti P, Sekaggya-Wiltshire C. Dolutegravir pharmacokinetics in Ugandan patients with TB and HIV receiving standard- versus high-dose rifampicin. Antimicrob Agents Chemother 2023; 67:e0043023. [PMID: 37850738 PMCID: PMC10648962 DOI: 10.1128/aac.00430-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/13/2023] [Indexed: 10/19/2023] Open
Abstract
Higher rifampicin doses may improve tuberculosis treatment outcomes. This could however exacerbate the existing drug interaction with dolutegravir. Moreover, the metabolism of dolutegravir may also be affected by polymorphism of UGT1A1, a gene that codes for uridine diphosphate glucuronosyltransferase. We used population pharmacokinetic modeling to compare the pharmacokinetics of dolutegravir when coadministered with standard- versus high-dose rifampicin in adults with tuberculosis and HIV, and investigated the effect of genetic polymorphisms. Data from the SAEFRIF trial, where participants were randomized to receive first-line tuberculosis treatment with either standard- 10 mg/kg or high-dose 35 mg/kg rifampicin alongside antiretroviral therapy, were used. The dolutegravir model was developed with 211 plasma concentrations from 44 participants. The median (interquartile range) rifampicin area under the curve (AUC) in the standard- and high-dose arms were 32.3 (28.7-36.7) and 153 (138-175) mg·h/L, respectively. A one-compartment model with first-order elimination and absorption through transit compartments best described dolutegravir pharmacokinetics. For a typical 56 kg participant, we estimated a clearance, absorption rate constant, and volume of distribution of 1.87 L/h, 1.42 h-1, and 12.4 L, respectively. Each 10 mg·h/L increase in the AUC of coadministered rifampicin from 32.3 mg·h/L led to a 2.3 (3.1-1.4) % decrease in dolutegravir bioavailability. Genetic polymorphism of UGT1A1 did not significantly affect dolutegravir pharmacokinetics. Simulations of trough dolutegravir concentrations show that the 50 mg twice-daily regimen attains both the primary and secondary therapeutic targets of 0.064 and 0.3 mg/L, respectively, regardless of the dose of coadministered rifampicin, unlike the once-daily regimen.
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Affiliation(s)
- Allan Kengo
- Department of Medicine, Division of Clinical Pharmacology, University of Cape Town, Cape Town, South Africa
| | - Ruth Nabisere
- Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Kamunkhwala Gausi
- Department of Medicine, Division of Clinical Pharmacology, University of Cape Town, Cape Town, South Africa
| | - Joseph Musaazi
- Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Allan Buzibye
- Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Denis Omali
- Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rob Aarnoutse
- Department of Pharmacy, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mohammed Lamorde
- Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Kelly E. Dooley
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Centre, Nashville, Tennessee, USA
| | - Derek James Sloan
- Division of Infection and Global Health, School of Medicine, University of St. Andrews, St Andrews, United Kingdom
| | - Paolo Denti
- Department of Medicine, Division of Clinical Pharmacology, University of Cape Town, Cape Town, South Africa
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Marco C, Padró-Miquel A, Domingo-Domenech E, Velasco R. Comment on: Brentuximab vedotin-related neuropathy in a patient with Gilbert syndrome: Do mutations of UGT1A1 gene affect brentuximab toxicity? Pediatr Blood Cancer 2023; 70:e30527. [PMID: 37365120 DOI: 10.1002/pbc.30527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 06/16/2023] [Indexed: 06/28/2023]
Affiliation(s)
- Carla Marco
- Neuro-Oncology Unit, Department of Neurology, Hospital Universitari de Bellvitge - Institut Català d'Oncologia, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ariadna Padró-Miquel
- Molecular Genetics Unit, Clinical Laboratory, Hospital Universitari de Bellvitge, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Eva Domingo-Domenech
- Department of Clinical Hematology, Institut Català d'Oncologia, Hospital Duran I Reynals, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Roser Velasco
- Neuro-Oncology Unit, Department of Neurology, Hospital Universitari de Bellvitge - Institut Català d'Oncologia, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
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Villapalos-García G, Zubiaur P, Marián-Revilla C, Soria-Chacartegui P, Navares-Gómez M, Mejía-Abril G, Rodríguez-Lopez A, González-Iglesias E, Martín-Vílchez S, Román M, Ochoa D, Abad-Santos F. Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride. J Pers Med 2023; 13:1566. [PMID: 38003881 PMCID: PMC10672114 DOI: 10.3390/jpm13111566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
Tadalafil and finasteride are used in combination for the management of benign prostatic hyperplasia (BPH). Genetic variations in genes involved in the metabolism and transport of tadalafil or finasteride (i.e., pharmacogenes) could affect their pharmacokinetic processes altering their drug exposure, efficacy, and toxicity. The main objective of this study was to investigate the effects of variants in pharmacogenes on the pharmacokinetics of tadalafil and finasteride. An exploratory candidate gene study involving 120 variants in 33 genes was performed with 66 male healthy volunteers from two bioequivalence clinical trials after administration of tadalafil/finasteride 5 mg/5 mg under fed or fasting conditions. Afterwards, a confirmatory study was conducted with 189 male and female volunteers receiving tadalafil 20 mg formulations in seven additional bioequivalence clinical trials. Regarding tadalafil, fed volunteers showed higher area in the time-concentration curve (AUC∞), maximum plasma concentration (Cmax), and time to reach Cmax (tmax) compared to fasting volunteers; male volunteers also showed higher AUC∞ and Cmax compared to female volunteers. Furthermore, fed volunteers presented higher finasteride AUC∞, Cmax and tmax compared to fasting individuals. Variants in ABCC3, CYP1A2, CES1, NUDT15, SLC22A1/A2 and UGT2B10 were nominally associated with pharmacokinetic variation in tadalafil and/or finasteride but did not remain significant after correction for multiple comparisons. Genetic variation did not demonstrate to clinically impact on the pharmacokinetics of finasteride and tadalafil; however, additional studies with larger sample sizes are needed to assess the effect of rare variants, such as CYP3A4*20 or *22, on tadalafil and finasteride pharmacokinetics.
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Affiliation(s)
- Gonzalo Villapalos-García
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Pablo Zubiaur
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Cristina Marián-Revilla
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Andrea Rodríguez-Lopez
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Eva González-Iglesias
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Samuel Martín-Vílchez
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Manuel Román
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Dolores Ochoa
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, 28006 Madrid, Spain; (G.V.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
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Soria-Chacartegui P, Zubiaur P, Ochoa D, Navares-Gómez M, Abbes H, Villapalos-García G, de Miguel A, González-Iglesias E, Rodríguez-Lopez A, Mejía-Abril G, Martín-Vilchez S, Luquero-Bueno S, Román M, Abad-Santos F. Impact of Sex and Genetic Variation in Relevant Pharmacogenes on the Pharmacokinetics and Safety of Valsartan, Olmesartan and Hydrochlorothiazide. Int J Mol Sci 2023; 24:15265. [PMID: 37894954 PMCID: PMC10607223 DOI: 10.3390/ijms242015265] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Drug combination therapy is the most common pharmacological strategy for hypertension management. No pharmacogenetic biomarkers for guiding hypertension pharmacotherapy are available to date. The study population were 64 volunteers from seven bioequivalence trials investigating formulations with valsartan, olmesartan and/or hydrochlorothiazide. Every volunteer was genotyped for 10 genetic variants in different transporters' genes. Additionally, valsartan-treated volunteers were genotyped for 29 genetic variants in genes encoding for different metabolizing enzymes. Variability in pharmacokinetic parameters such as maximum concentration (Cmax) and time to reach it (tmax), the incidence of adverse drug reactions (ADRs) and blood pressure measurements were analyzed as a function of pharmacogenetic and demographic parameters. Individuals with the ABCB1 rs1045642 T/T genotype were associated with a higher valsartan tmax compared to those with T/G and G/G genotypes (p < 0.001, β = 0.821, R2 = 0.459) and with a tendency toward a higher postural dizziness incidence (11.8% vs. 0%, p = 0.070). A higher hydrochlorothiazide dose/weight (DW)-corrected area under the curve (AUC∞/DW) was observed in SLC22A1 rs34059508 G/A volunteers compared to G/G volunteers (p = 0.050, β = 1047.35, R2 = 0.051), and a tendency toward a higher postural dizziness incidence (50% vs. 1.6%, p = 0.063). Sex impacted valsartan and hydrochlorothiazide pharmacokinetics, showing a lower exposure in women, whereas no significant differences were found for olmesartan pharmacokinetics.
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Affiliation(s)
- Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Houwaida Abbes
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
- Biochemistry Department, LR12SP11, Sahloul University Hospital, 4011 Sousse, Tunisia
- Faculty of Pharmacy of Monastir, University of Monastir, 5019 Monastir, Tunisia
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Alejandro de Miguel
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Eva González-Iglesias
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Andrea Rodríguez-Lopez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Samuel Martín-Vilchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Sergio Luquero-Bueno
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
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Crutchley RD, Newsome C, Chen LW, Li D, Sarangarm P, Min A, Bowers D, Coetzee R, McKeirnan KC. Design, Implementation, and Assessment Approaches Within an Advanced Human Immunodeficiency Virus (HIV) Elective Course. J Pharm Pract 2023; 36:1284-1293. [PMID: 35704467 DOI: 10.1177/08971900221108723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction: An estimated 38 million people are living with human immunodeficiency virus (HIV) worldwide. Pharmacists are well positioned to provide care to patients with HIV, but gaps in HIV education among pharmacists exist. Recognizing the need to educate and prepare future pharmacists, a 2-credit advanced HIV elective course was created for Doctor of Pharmacy students at Washington State University College of Pharmacy and Pharmaceutical Sciences in the United States, and Masters of Clinical Pharmacy students from University of Western Cape School of Pharmacy in South Africa. Methods: Course topics included diagnosis and treatment of HIV in children and adults, management of common comorbidities, pre-exposure prophylaxis, pharmacogenetic applications, and antiretroviral drug-drug interactions. Course effectiveness was evaluated using student examination results. Student perceptions were evaluated using pre- and post-course self-assessments involving abilities, confidence, and attitudes toward caring for people living with HIV. Results: Student pharmacists demonstrated competency in HIV knowledge, demonstrated skills in application to clinical-based scenarios, and reported significantly improved confidence and abilities as well as positive changes in attitudes toward people with HIV. Conclusion: This course contributed to student learning across different student cohorts in an institutional program in the United States including successful execution of distance learning and clinical application for students at a program in South Africa.
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Affiliation(s)
- Rustin D Crutchley
- Department of Pharmacotherapy, Washington State University College of Pharmacy and Pharmaceutical Sciences, Yakima, WA, USA
| | - Cheyenne Newsome
- Department of Pharmacotherapy, Washington State University College of Pharmacy and Pharmaceutical Sciences, Spokane, WA, USA
| | - Li Wei Chen
- Providence Regional Medical Center Everett, Everett, WA, USA
| | | | | | - Amy Min
- ViiV Healthcare US, Research Triangle Park, NC, USA
| | - Dana Bowers
- Department of Pharmacotherapy, Washington State University College of Pharmacy and Pharmaceutical Sciences, Yakima, WA, USA
| | | | - Kimberly C McKeirnan
- Department of Pharmacotherapy, Washington State University College of Pharmacy and Pharmaceutical Sciences, Spokane, WA, USA
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9
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van der Drift D, Simoons M, Koch BCP, Brufau G, Bindels P, Matic M, van Schaik RHN. Implementation of Pharmacogenetics in First-Line Care: Evaluation of Its Use by General Practitioners. Genes (Basel) 2023; 14:1841. [PMID: 37895189 PMCID: PMC10606701 DOI: 10.3390/genes14101841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Pharmacogenetics (PGx) can explain/predict drug therapy outcomes. There is, however, unclarity about the use and usefulness of PGx in primary care. In this study, we investigated PGx tests ordered by general practitioners (GPs) in 2021 at Dept. Clinical Chemistry, Erasmus MC, and analyzed the gene tests ordered, drugs/drug groups, reasons for testing and single-gene versus panel testing. Additionally, a survey was sent to 90 GPs asking about their experiences and barriers to implementing PGx. In total, 1206 patients and 6300 PGx tests were requested by GPs. CYP2C19 was requested most frequently (17%), and clopidogrel was the most commonly indicated drug (23%). Regarding drug groups, antidepressants (51%) were the main driver for requesting PGx, followed by antihypertensives (26%). Side effects (79%) and non-response (27%) were the main indicators. Panel testing was preferred over single-gene testing. The survey revealed knowledge on when and how to use PGx as one of the main barriers. In conclusion, PGx is currently used by GPs in clinical practice in the Netherlands. Side effects are the main reason for testing, which mostly involves antidepressants. Lack of knowledge is indicated as a major barrier, indicating the need for more education on PGx for GPs.
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Affiliation(s)
- Denise van der Drift
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Mirjam Simoons
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Birgit C. P. Koch
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Gemma Brufau
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
- Department of Clinical Chemistry, Result Laboratory, 3318 AT Dordrecht, The Netherlands
| | - Patrick Bindels
- Department of General Practice, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Maja Matic
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Ron H. N. van Schaik
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
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10
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Villapalos-García G, Zubiaur P, Ochoa D, Soria-Chacartegui P, Navares-Gómez M, Matas M, Mejía-Abril G, Casajús-Rey A, Campodónico D, Román M, Martín-Vílchez S, Candau-Ramos C, Aldama-Martín M, Abad-Santos F. NAT2 phenotype alters pharmacokinetics of rivaroxaban in healthy volunteers. Biomed Pharmacother 2023; 165:115058. [PMID: 37385211 DOI: 10.1016/j.biopha.2023.115058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/01/2023] Open
Abstract
Rivaroxaban is a direct inhibitor of factor Xa, a member of direct oral anticoagulant group of drugs (DOACs). Despite being a widely extended alternative to vitamin K antagonists (i.e., acenocoumarol, warfarin) the interindividual variability of DOACs is significant, and may be related to adverse drug reaction occurrence or drug inefficacy, namely hemorrhagic or thromboembolic events. Since there is not a consistent analytic practice to monitor the anticoagulant activity of DOACs, previously reported polymorphisms in genes coding for proteins responsible for the activation, transport, or metabolism of DOACs were studied. The study population comprised 60 healthy volunteers, who completed two randomized, crossover bioequivalence clinical trials between two different rivaroxaban formulations. The effect of food, sex, biogeographical origin and 55 variants (8 phenotypes and 47 single nucleotide polymorphisms) in drug metabolizing enzyme genes (such as CYP2D6, CYP2C9, NAT2) and transporters (namely, ABCB1, ABCG2) on rivaroxaban pharmacokinetics was tested. Individuals dosed under fasting conditions presented lower tmax (2.21 h vs 2.88 h, β = 1.19, R2 =0.342, p = 0.012) compared to fed volunteers. NAT2 slow acetylators presented higher AUC∞ corrected by dose/weight (AUC∞/DW; 8243.90 vs 7698.20 and 7161.25 h*ng*mg /ml*kg, β = 0.154, R2 =0.250, p = 0.044), higher Cmax/DW (1070.99 vs 834.81 and 803.36 ng*mg /ml*kg, β = 0.245, R2 =0.320, p = 0.002), and lower tmax (2.63 vs 3.19 and 4.15 h, β = -0.346, R2 =0.282, p = 0.047) than NAT2 rapid and intermediate acetylators. No other association was statistically significant. Thus, slow NAT2 appear to have altered rivaroxaban pharmacokinetics, increasing AUC∞ and Cmax. Nonetheless, further research should be conducted to verify NAT2 involvement on rivaroxaban pharmacokinetics and to determine its clinical significance.
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Affiliation(s)
- Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Research Institute (CMRI), Kansas City, MO, USA.
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Miriam Matas
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ana Casajús-Rey
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Diana Campodónico
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Samuel Martín-Vílchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Carmen Candau-Ramos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marina Aldama-Martín
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain.
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11
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Matišić V, Brlek P, Bulić L, Molnar V, Dasović M, Primorac D. Population Pharmacogenomics in Croatia: Evaluating the PGx Allele Frequency and the Impact of Treatment Efficiency. Int J Mol Sci 2023; 24:13498. [PMID: 37686303 PMCID: PMC10487565 DOI: 10.3390/ijms241713498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/24/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Adverse drug reactions (ADRs) are a significant cause of mortality, and pharmacogenomics (PGx) offers the potential to optimize therapeutic efficacy while minimizing ADRs. However, there is a lack of data on the Croatian population, highlighting the need for investigating the most common alleles, genotypes, and phenotypes to establish national guidelines for drug use. METHODS A single-center retrospective cross-sectional study was performed to examine the allele, genotype, and phenotype frequencies of drug-metabolizing enzymes, receptors, and other proteins in a random sample of 522 patients from Croatia using a 28-gene PGx panel. RESULTS Allele frequencies, genotypes, and phenotypes for the investigated genes were determined. No statistically significant differences were found between the Croatian and European populations for most analyzed genes. The most common genotypes observed in the patients resulted in normal metabolism rates. However, some genes showed higher frequencies of altered metabolism rates. CONCLUSIONS This study provides insights into the allele, genotype, and phenotype frequencies of drug-metabolizing enzymes, receptors, and other associated proteins in the Croatian population. The findings contribute to optimizing drug use guidelines, potentially reducing ADRs, and improving therapeutic efficacy. Further research is needed to tailor population-specific interventions based on these findings and their long-term benefits.
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Affiliation(s)
- Vid Matišić
- St Catherine Specialty Hospital, 10000 Zagreb, Croatia; (V.M.); (P.B.); (V.M.)
| | - Petar Brlek
- St Catherine Specialty Hospital, 10000 Zagreb, Croatia; (V.M.); (P.B.); (V.M.)
- School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Luka Bulić
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia; (L.B.); (M.D.)
| | - Vilim Molnar
- St Catherine Specialty Hospital, 10000 Zagreb, Croatia; (V.M.); (P.B.); (V.M.)
| | - Marina Dasović
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia; (L.B.); (M.D.)
| | - Dragan Primorac
- St Catherine Specialty Hospital, 10000 Zagreb, Croatia; (V.M.); (P.B.); (V.M.)
- School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Medical School, University of Split, 21000 Split, Croatia
- Department of Biochemistry & Molecular Biology, The Pennsylvania State University, State College, PA 16802, USA
- The Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, West Haven, CT 06516, USA
- Medical School REGIOMED, 96450 Coburg, Germany
- Medical School, University of Rijeka, 51000 Rijeka, Croatia
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Medical School, University of Mostar, 88000 Mostar, Bosnia and Herzegovina
- National Forensic Sciences University, Gujarat 382007, India
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12
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AlEjielat R, Khaleel A, Batarseh YS, Abu-Qatouseh L, Al-Wawi S, AlSunna T. SNP rs11185644 in RXRA gene and SNP rs2235544 in DIO1 gene predict dosage requirements in a cross-sectional sample of hypothyroid patients. BMC Endocr Disord 2023; 23:167. [PMID: 37563580 PMCID: PMC10413766 DOI: 10.1186/s12902-023-01425-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 07/27/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND AND PURPOSE Primary hypothyroidism due to abnormality in the thyroid gland is the most common endocrine disease The recommended starting dose of levothyroxine replacement therapy is 1.6 µg/kg. This dose however is not optimal for every patient and dose adjustments are frequently done. Genetic polymorphisms in the absorption and metabolism pathway of levothyroxine are likely to influence its dose requirements. This study aimed to study the influence of genetic polymorphisms on levothyroxine replacement requirements. METHODS This was a cross-sectional study. Participants were recruited through a private nutrition clinic and through announcements distributed in the University of Petra in Amman, Jordan between September 2020 and February 2021. Hypothyroid patients had already been on stable doses of levothyroxine for the previous 3 months. A questionnaire was distributed to collect demographic and clinical information and a blood sample was taken for DNA extraction and clinical biochemistry analysis. rs11249460, rs2235544, rs225014, rs225015, rs3806596, rs11185644, rs4588, rs602662 were analyzed using Applied Biosystems TaqMan™ SNP Genotyping Assays on Rotor-Gene® Q and rs3064744 by direct sequencing. SPSS and Excel were used to perform analysis. RESULTS 76 patients were studied. The equation we calculated to find predicted daily dose of levothyroxine (mcg/kg) is 3.22+ (0.348 for CT genotype of rs11185644, 0 for other genotypes) + 0.027*disease duration (years) - 0.014*age (years) - 0.434*T3 (pmol/L) levels+ (0.296 for CC genotype of rs2235544, 0 for other genotypes). CONCLUSION SNP rs11185644 in RXRA gene and SNP rs2235544 in DIO1 affect dose requirement in hypothyroid patients and if confirmed in larger trials they can be used to individualize thyroxine starting doses.
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Affiliation(s)
- Rowan AlEjielat
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan.
| | - Anas Khaleel
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan
| | - Yazan S Batarseh
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan
| | - Luay Abu-Qatouseh
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan
| | - Suzan Al-Wawi
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan
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13
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Zeuli JD, Rivera CG, Wright JA, Kasten MJ, Mahmood M, Ragan AK, Rizza SA, Temesgen Z, Vergidis P, Wilson JW, Cummins NW. Pharmacogenomic panel testing provides insight and enhances medication management in people with HIV. AIDS 2023; 37:1525-1533. [PMID: 37199600 DOI: 10.1097/qad.0000000000003598] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
OBJECTIVE Our study aimed to assess the impact of pharmacogenomic panel testing in people with HIV (PWH). DESIGN Prospective, observational intervention assessment. METHODS One hundred PWH were provided a comprehensive pharmacogenomic panel during routine care visits within the HIV specialty clinic of a large academic medical center. The panel determined the presence of specific genetic variants that could predict response or toxicity to commonly prescribed antiretroviral therapy (ART) and non-ART medications. An HIV specialty pharmacist reviewed the results with participants and the care team. The pharmacist (1) recommended clinically actionable interventions based on the participants' current drug therapy, (2) assessed for genetic explanations for prior medication failures, adverse effects, or intolerances, and (3) advised on potential future clinically actionable care interventions based on individual genetic phenotypes. RESULTS Ninety-six participants (median age 53 years, 74% white, 84% men, 89% viral load <50 copies/ml) completed panel testing, yielding 682 clinically relevant pharmacogenomic results (133 major, 549 mild-moderate). Ninety participants (89 on ART) completed follow-up visits with 65 (72%) receiving clinical recommendations based on current medication profiles. Of the 105 clinical recommendations, 70% advised additional monitoring for efficacy or toxicity, and 10% advised alteration of drug therapy. Panel results offered explanation for prior ART inefficacy in one participant and ART intolerance in 29%. Genetic explanation for non-ART toxicity was seen in 21% of participants, with genetic contributors to inefficacy of non-ART therapy identified in 39% of participants. CONCLUSION Preliminary data in a small cohort of PWH demonstrates benefit of routine pharmacogenomic panel testing.
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Affiliation(s)
- John D Zeuli
- Department of Pharmacy
- Section of Infectious Diseases
| | | | - Jessica A Wright
- Department of Pharmacy
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
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14
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Alsultan A, Alalwan AA, Alshehri B, Jeraisy MA, Alghamdi J, Alqahtani S, Albassam AA. Interethnic differences in drug response: projected impact of genetic variations in the Saudi population. Pharmacogenomics 2023; 24:685-696. [PMID: 37610881 DOI: 10.2217/pgs-2023-0105] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023] Open
Abstract
Ethnicity is known to have an impact on drug responses. This is particularly important for drugs that have a narrow therapeutic window, nonlinearity in pharmacokinetics and are metabolized by enzymes that demonstrate genetic polymorphisms. However, most clinical trials are conducted among Caucasians, which might limit the usefulness of the findings of such studies for other ethnicities. The representation of participants from Saudi Arabia in global clinical trials is low. Therefore, there is a paucity of evidence to assess the impact of ethnic variability in the Saudi population on drug response. In this article, the authors assess the projected impact of genetic polymorphisms in drug-metabolizing enzymes and drug targets on drug response in the Saudi population.
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Affiliation(s)
- Abdullah Alsultan
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah A Alalwan
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Bashayer Alshehri
- Pharmaceutical Care Department, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Majed Al Jeraisy
- Pharmaceutical Care Department, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Jahad Alghamdi
- Saudi Food and Drug Authority, Drug Sector, Riyadh, Saudi Arabia
| | - Saeed Alqahtani
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Ahmed A Albassam
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
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Soko ND, Muyambo S, Dandara MTL, Kampira E, Blom D, Jones ESW, Rayner B, Shamley D, Sinxadi P, Dandara C. Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases. J Pers Med 2023; 13:1185. [PMID: 37623436 PMCID: PMC10455498 DOI: 10.3390/jpm13081185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/21/2023] [Accepted: 07/23/2023] [Indexed: 08/26/2023] Open
Abstract
Pharmacogenomics may improve patient care by guiding drug selection and dosing; however, this requires prior knowledge of the pharmacogenomics of drugs commonly used in a specific setting. The aim of this study was to identify a preliminary set of pharmacogenetic variants important in Southern Africa. We describe comorbidities in 3997 patients from Malawi, South Africa, and Zimbabwe. These patient cohorts were included in pharmacogenomic studies of anticoagulation, dyslipidemia, hypertension, HIV and breast cancer. The 20 topmost prescribed drugs in this population were identified. Using the literature, a list of pharmacogenes vital in the response to the top 20 drugs was constructed leading to drug-gene pairs potentially informative in translation of pharmacogenomics. The most reported morbidity was hypertension (58.4%), making antihypertensives the most prescribed drugs, particularly amlodipine. Dyslipidemia occurred in 31.5% of the participants, and statins were the most frequently prescribed as cholesterol-lowering drugs. HIV was reported in 20.3% of the study participants, with lamivudine/stavudine/efavirenz being the most prescribed antiretroviral combination. Based on these data, pharmacogenes of immediate interest in Southern African populations include ABCB1, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, SLC22A1, SLCO1B1 and UGT1A1. Variants in these genes are a good starting point for pharmacogenomic translation programs in Southern Africa.
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Affiliation(s)
- Nyarai Desiree Soko
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
- Department of Pharmaceutical Technology, School of Allied Health Sciences, Harare Institute of Technology, Harare, Zimbabwe
- Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology and Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
| | - Sarudzai Muyambo
- Department of Biological Sciences and Ecology, Faculty of Science, University of Zimbabwe, Harare, Zimbabwe
| | - Michelle T. L. Dandara
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
| | - Elizabeth Kampira
- Medical Laboratory Sciences, School of Life Sciences and Health Professionals, Kamuzu University of Health Sciences (KUHES), Blantyre, Malawi
| | - Dirk Blom
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
- Division of Lipidology and Cape Heart Institute, Department of Medicine, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
| | - Erika S. W. Jones
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
- Division of Nephrology and Hypertension, Department of Medicine, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
| | - Brian Rayner
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
| | - Delva Shamley
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
| | - Phumla Sinxadi
- Platform for Pharmacogenomics Research and Translation (PREMED), University of Cape Town, South African Medical Research Council, Cape Town 7935, South Africa
- Division of Clinical Pharmacology, Department of Medicine, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
| | - Collet Dandara
- Department of Pharmaceutical Technology, School of Allied Health Sciences, Harare Institute of Technology, Harare, Zimbabwe
- Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology and Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7935, South Africa
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16
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Shugg T, Ly RC, Osei W, Rowe EJ, Granfield CA, Lynnes TC, Medeiros EB, Hodge JC, Breman AM, Schneider BP, Sahinalp SC, Numanagić I, Salisbury BA, Bray SM, Ratcliff R, Skaar TC. Computational pharmacogenotype extraction from clinical next-generation sequencing. Front Oncol 2023; 13:1199741. [PMID: 37469403 PMCID: PMC10352904 DOI: 10.3389/fonc.2023.1199741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/22/2023] [Indexed: 07/21/2023] Open
Abstract
Background Next-generation sequencing (NGS), including whole genome sequencing (WGS) and whole exome sequencing (WES), is increasingly being used for clinic care. While NGS data have the potential to be repurposed to support clinical pharmacogenomics (PGx), current computational approaches have not been widely validated using clinical data. In this study, we assessed the accuracy of the Aldy computational method to extract PGx genotypes from WGS and WES data for 14 and 13 major pharmacogenes, respectively. Methods Germline DNA was isolated from whole blood samples collected for 264 patients seen at our institutional molecular solid tumor board. DNA was used for panel-based genotyping within our institutional Clinical Laboratory Improvement Amendments- (CLIA-) certified PGx laboratory. DNA was also sent to other CLIA-certified commercial laboratories for clinical WGS or WES. Aldy v3.3 and v4.4 were used to extract PGx genotypes from these NGS data, and results were compared to the panel-based genotyping reference standard that contained 45 star allele-defining variants within CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, CYP4F2, DPYD, G6PD, NUDT15, SLCO1B1, TPMT, and VKORC1. Results Mean WGS read depth was >30x for all variant regions except for G6PD (average read depth was 29 reads), and mean WES read depth was >30x for all variant regions. For 94 patients with WGS, Aldy v3.3 diplotype calls were concordant with those from the genotyping reference standard in 99.5% of cases when excluding diplotypes with additional major star alleles not tested by targeted genotyping, ambiguous phasing, and CYP2D6 hybrid alleles. Aldy v3.3 identified 15 additional clinically actionable star alleles not covered by genotyping within CYP2B6, CYP2C19, DPYD, SLCO1B1, and NUDT15. Within the WGS cohort, Aldy v4.4 diplotype calls were concordant with those from genotyping in 99.7% of cases. When excluding patients with CYP2D6 copy number variation, all Aldy v4.4 diplotype calls except for one CYP3A4 diplotype call were concordant with genotyping for 161 patients in the WES cohort. Conclusion Aldy v3.3 and v4.4 called diplotypes for major pharmacogenes from clinical WES and WGS data with >99% accuracy. These findings support the use of Aldy to repurpose clinical NGS data to inform clinical PGx.
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Affiliation(s)
- Tyler Shugg
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Reynold C. Ly
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Wilberforce Osei
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Elizabeth J. Rowe
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Caitlin A. Granfield
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Ty C. Lynnes
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Elizabeth B. Medeiros
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Jennelle C. Hodge
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Amy M. Breman
- Division of Diagnostic Genetics and Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Bryan P. Schneider
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - S. Cenk Sahinalp
- Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, MD, United States
| | - Ibrahim Numanagić
- Department of Computer Science, University of Victoria, Victoria, BC, Canada
| | | | | | | | - Todd C. Skaar
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
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17
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Miners JO, Polasek TM, Hulin JA, Rowland A, Meech R. Drug-drug interactions that alter the exposure of glucuronidated drugs: Scope, UDP-glucuronosyltransferase (UGT) enzyme selectivity, mechanisms (inhibition and induction), and clinical significance. Pharmacol Ther 2023:108459. [PMID: 37263383 DOI: 10.1016/j.pharmthera.2023.108459] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/03/2023]
Abstract
Drug-drug interactions (DDIs) arising from the perturbation of drug metabolising enzyme activities represent both a clinical problem and a potential economic loss for the pharmaceutical industry. DDIs involving glucuronidated drugs have historically attracted little attention and there is a perception that interactions are of minor clinical relevance. This review critically examines the scope and aetiology of DDIs that result in altered exposure of glucuronidated drugs. Interaction mechanisms, namely inhibition and induction of UDP-glucuronosyltransferase (UGT) enzymes and the potential interplay with drug transporters, are reviewed in detail, as is the clinical significance of known DDIs. Altered victim drug exposure arising from modulation of UGT enzyme activities is relatively common and, notably, the incidence and importance of UGT induction as a DDI mechanism is greater than generally believed. Numerous DDIs are clinically relevant, resulting in either loss of efficacy or an increased risk of adverse effects, necessitating dose individualisation. Several generalisations relating to the likelihood of DDIs can be drawn from the known substrate and inhibitor selectivities of UGT enzymes, highlighting the importance of comprehensive reaction phenotyping studies at an early stage of drug development. Further, rigorous assessment of the DDI liability of new chemical entities that undergo glucuronidation to a significant extent has been recommended recently by regulatory guidance. Although evidence-based approaches exist for the in vitro characterisation of UGT enzyme inhibition and induction, the availability of drugs considered appropriate for use as 'probe' substrates in clinical DDI studies is limited and this should be research priority.
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Affiliation(s)
- John O Miners
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Thomas M Polasek
- Certara, Princeton, NJ, USA; Centre for Medicines Use and Safety, Monash University, Melbourne, Australia
| | - Julie-Ann Hulin
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Andrew Rowland
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Robyn Meech
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
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18
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Samarasinghe SR, Hoy W, Jadhao S, McMorran BJ, Guchelaar HJ, Nagaraj SH. The pharmacogenomic landscape of an Indigenous Australian population. Front Pharmacol 2023; 14:1180640. [PMID: 37284308 PMCID: PMC10241071 DOI: 10.3389/fphar.2023.1180640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/07/2023] [Indexed: 06/08/2023] Open
Abstract
Background: Population genomic studies of individuals of Indigenous ancestry have been extremely limited comprising <0.5% of participants in international genetic databases and genome-wide association studies, contributing to a "genomic gap" that limits their access to personalised medicine. While Indigenous Australians face a high burden of chronic disease and associated medication exposure, corresponding genomic and drug safety datasets are sorely lacking. Methods: To address this, we conducted a pharmacogenomic study of almost 500 individuals from a founder Indigenous Tiwi population. Whole genome sequencing was performed using short-read Illumina Novaseq6000 technology. We characterised the pharmacogenomics (PGx) landscape of this population by analysing sequencing results and associated pharmacological treatment data. Results: We observed that every individual in the cohort carry at least one actionable genotype and 77% of them carry at least three clinically actionable genotypes across 19 pharmacogenes. Overall, 41% of the Tiwi cohort were predicted to exhibit impaired CYP2D6 metabolism, with this frequency being much higher than that for other global populations. Over half of the population predicted an impaired CYP2C9, CYP2C19, and CYP2B6 metabolism with implications for the processing of commonly used analgesics, statins, anticoagulants, antiretrovirals, antidepressants, and antipsychotics. Moreover, we identified 31 potentially actionable novel variants within Very Important Pharmacogenes (VIPs), five of which were common among the Tiwi. We further detected important clinical implications for the drugs involved with cancer pharmacogenomics such as thiopurines and tamoxifen, immunosuppressants like tacrolimus and certain antivirals used in the hepatitis C treatment due to potential differences in their metabolic processing. Conclusion: The pharmacogenomic profiles generated in our study demonstrate the utility of pre-emptive PGx testing and have the potential to help guide the development and application of precision therapeutic strategies tailored to Tiwi Indigenous patients. Our research provides valuable insights on pre-emptive PGx testing and the feasibility of its use in ancestrally diverse populations, emphasizing the need for increased diversity and inclusivity in PGx investigations.
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Affiliation(s)
| | - Wendy Hoy
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Sudhir Jadhao
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Brendan J. McMorran
- John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, ACT, Australia
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Shivashankar H. Nagaraj
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
- Translational Research Institute, Queensland University of Technology, Brisbane, QLD, Australia
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19
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Yampayon K, Anantachoti P, Chongmelaxme B, Yodsurang V. Genetic polymorphisms influencing deferasirox pharmacokinetics, efficacy, and adverse drug reactions: a systematic review and meta-analysis. Front Pharmacol 2023; 14:1069854. [PMID: 37261288 PMCID: PMC10227503 DOI: 10.3389/fphar.2023.1069854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 05/02/2023] [Indexed: 06/02/2023] Open
Abstract
Objective: Deferasirox is an iron-chelating agent prescribed to patients with iron overload. Due to the interindividual variability of deferasirox responses reported in various populations, this study aims to determine the genetic polymorphisms that influence drug responses. Methods: A systematic search was performed from inception to March 2022 on electronic databases. All studies investigating genetic associations of deferasirox in humans were included, and the outcomes of interest included pharmacokinetics, efficacy, and adverse drug reactions. Fixed- and random-effects model meta-analyses using the ratio of means (ROM) were performed. Results: Seven studies involving 367 participants were included in a meta-analysis. The results showed that subjects carrying the A allele (AG/AA) of ABCC2 rs2273697 had a 1.23-fold increase in deferasirox Cmax (ROM = 1.23; 95% confidence interval [CI]:1.06-1.43; p = 0.007) and a lower Vd (ROM = 0.48; 95% CI: 0.36-0.63; p < 0.00001), compared to those with GG. A significant attenuated area under the curve of deferasirox was observed in the subjects with UGT1A3 rs3806596 AG/GG by 1.28-fold (ROM = 0.78; 95% CI: 0.60-0.99; p = 0.04). In addition, two SNPs of CYP24A1 were also associated with the decreased Ctrough: rs2248359 CC (ROM = 0.50; 95% CI: 0.29-0.87; p = 0.01) and rs2585428 GG (ROM = 0.47; 95% CI: 0.35-0.63; p < 0.00001). Only rs2248359 CC was associated with decreased Cmin (ROM = 0.26; 95% CI: 0.08-0.93; p = 0.04), while rs2585428 GG was associated with a shorter half-life (ROM = 0.44; 95% CI: 0.23-0.83; p = 0.01). Conclusion: This research summarizes the current evidence supporting the influence of variations in genes involved with drug transporters, drug-metabolizing enzymes, and vitamin D metabolism on deferasirox responses.
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Affiliation(s)
- Kittika Yampayon
- Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Puree Anantachoti
- Social and Administrative Pharmacy Department, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Bunchai Chongmelaxme
- Social and Administrative Pharmacy Department, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Varalee Yodsurang
- Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Preclinical Toxicity and Efficacy, Assessment of Medicines and Chemicals Research Unit, Chulalongkorn University, Bangkok, Thailand
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20
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Kilpatrick MC, Givens SK, Watts Alexander CS. What Is Precision Medicine? Physician Assistant Clinics 2023. [DOI: 10.1016/j.cpha.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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21
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Telisnor G, DeRemer DL, Frimpong E, Agyare E, Allen J, Ricks-Santi L, Han B, George T, Rogers SC. Review of genetic and pharmacogenetic differences in cytotoxic and targeted therapies for pancreatic cancer in African Americans. J Natl Med Assoc 2023; 115:164-174. [PMID: 36801148 PMCID: PMC10639003 DOI: 10.1016/j.jnma.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/16/2022] [Accepted: 01/24/2023] [Indexed: 02/19/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cause of cancer mortality and the incidence is projected to increase by 2030. Despite recent advances in its treatment, African Americans have a 50-60% higher incidence and 30% higher mortality rate when compared to European Americans possibly resulting from differences in socioeconomic status, access to healthcare, and genetics. Genetics plays a role in cancer predisposition, response to cancer therapeutics (pharmacogenetics), and in tumor behavior, making some genes targets for oncologic therapeutics. We hypothesize that the germline genetic differences in predisposition, drug response, and targeted therapies also impact PDAC disparities. To demonstrate the impact of genetics and pharmacogenetics on PDAC disparities, a review of the literature was performed using PubMed with variations of the following keywords: pharmacogenetics, pancreatic cancer, race, ethnicity, African, Black, toxicity, and the FDA-approved drug names: Fluoropyrimidines, Topoisomerase inhibitors, Gemcitabine, Nab-Paclitaxel, Platinum agents, Pembrolizumab, PARP-inhibitors, and NTRK fusion inhibitors. Our findings suggest that the genetic profiles of African Americans may contribute to disparities related to FDA approved chemotherapeutic response for patients with PDAC. We recommend a strong focus on improving genetic testing and participation in biobank sample donations for African Americans. In this way, we can improve our current understanding of genes that influence drug response for patients with PDAC.
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Affiliation(s)
- Guettchina Telisnor
- College of Pharmacy, CaRE(2) Health Equity Center, University of Florida, Gainesville, FL, USA
| | - David L DeRemer
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Esther Frimpong
- Department of Pharmaceutical Sciences, College of Pharmacy, Florida Agricultural and Mechanical University, Tallahassee, FL, USA
| | - Edward Agyare
- Department of Pharmaceutical Sciences, College of Pharmacy, Florida Agricultural and Mechanical University, Tallahassee, FL, USA
| | - John Allen
- College of Pharmacy, CaRE(2) Health Equity Center, University of Florida, Gainesville, FL, USA
| | - Luisel Ricks-Santi
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Bo Han
- Department of Surgery, College of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas George
- Division of Hematology and Oncology, College of Medicine, University of Florida, 600 SW Archer Road, PO BOX 100278, Gainesville, FL 32610- 0278, USA
| | - Sherise C Rogers
- Division of Hematology and Oncology, College of Medicine, University of Florida, 600 SW Archer Road, PO BOX 100278, Gainesville, FL 32610- 0278, USA.
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22
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Huang Q, Liao Y, Yu T, Lei W, Liang H, Wen J, Liu Q, Chen Y, Huang K, Jing L, Huang X, Liu Y, Yu X, Su K, Liu T, Yang L, Huang M. A retrospective analysis of preemptive pharmacogenomic testing in 22,918 individuals from China. J Clin Lab Anal 2023; 37:e24855. [PMID: 36916827 PMCID: PMC10098050 DOI: 10.1002/jcla.24855] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/11/2023] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Pharmacogenomics (PGx) examines the influence of genetic variation on drug responses. With more and more Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines published, PGx is gradually shifting from the reactive testing of single gene toward the preemptive testing of multiple genes. But the profile of PGx genes, especially for the intra-country diversity, is not well understood in China. METHODS We retrospectively collected preemptive PGx testing data of 22,918 participants from 20 provinces of China, analyzed frequencies of alleles, genotypes and phenotypes of pharmacogenes, predicted drug responses for each participant, and performed comparisons between different provinces. RESULTS AND CONCLUSION After analyzing 15 pharmacogenes from CPIC guidelines of 31 drugs, we found that 99.97% of individuals may have an atypical response to at least one drug; the participants carry actionable genotypes leading to atypical dosage recommendation for a median of eight drugs. Over 99% of the participants were recommended a decreased warfarin dose based on genetic factors. There were 20 drugs with high-risk ratios from 0.18% to 58.25%, in which clopidogrel showed the highest high-risk ratio. In addition, the high-risk ratio of rasburicase in GUANGDONG (risk ratio (RR) = 13.17, 95%CI:4.06-33.22, p < 0.001) and GUANGXI (RR = 23.44, 95%CI:8.83-52.85, p < 0.001) were significantly higher than that in all provinces. Furthermore, the diversity we observed among 20 provinces suggests that preemptive PGx testing in different geographical regions in China may need to pay more attention to specific genes. These results emphasize the importance of preemptive PGx testing and provide essential evidence for promoting clinical implementation in China.
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Affiliation(s)
- Quanfei Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yuwei Liao
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Tao Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Wei Lei
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Hongfeng Liang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Jianxin Wen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Qing Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yu Chen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaisheng Huang
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Lifang Jing
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Xiaoyan Huang
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yuanru Liu
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Xiaokang Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaichan Su
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Tengfei Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Liye Yang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Min Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
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23
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Calleja S, Zubiaur P, Ochoa D, Villapalos-García G, Mejia-Abril G, Soria-Chacartegui P, Navares-Gómez M, de Miguel A, Román M, Martín-Vílchez S, Abad-Santos F. Impact of polymorphisms in CYP and UGT enzymes and ABC and SLCO1B1 transporters on the pharmacokinetics and safety of desvenlafaxine. Front Pharmacol 2023; 14:1110460. [PMID: 36817149 PMCID: PMC9934922 DOI: 10.3389/fphar.2023.1110460] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Venlafaxine pharmacokinetic variability and pharmacotherapy outcomes are well known to be related to CYP2D6 pharmacogenetic phenotype. In contrast, scarce pharmacogenetic information is available nowadays concerning desvenlafaxine, its active metabolite first marketed in 2012. The aim of this study was to evaluate the impact of 29 alleles in 12 candidate genes (e.g., CYP enzymes like CYP2D6, CYP3A4, or CYP2C19; ABC transporters like ABCB1; SLCO1B1; and UGT enzymes like UGT1A1) on desvenlafaxine pharmacokinetic variability and tolerability. Pharmacokinetic parameters and adverse drug reaction (ADR) incidence obtained from six bioequivalence clinical trials (n = 98) evaluating desvenlafaxine formulations (five with single dose administration and one with multiple-dose administration) were analyzed. No genetic polymorphism was related to pharmacokinetic variability or ADR incidence. Volunteers enrolled in the multiple-dose clinical trial also showed a higher incidence of ADRs, e.g., xerostomia or appetite disorders. Volunteers experiencing any ADR showed a significantly higher area under the time-concentration curve (AUC) than those not experiencing any ADR (5115.35 vs. 4279.04 ng*h/mL, respectively, p = 0.034). In conclusion, the strong dose-dependent relationship with the occurrence of ADRs confirms that the mechanism of action of desvenlafaxine is essentially dose-dependent.
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Affiliation(s)
- Sofía Calleja
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children’s Mercy Research Institute, Kansas City, MO, United States
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Gina Mejia-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Alejandro de Miguel
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Samuel Martín-Vílchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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24
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Liu Y, Lin Z, Chen Q, Chen Q, Sang L, Wang Y, Shi L, Guo L, Yu Y. PAnno: A pharmacogenomics annotation tool for clinical genomic testing. Front Pharmacol 2023; 14:1008330. [PMID: 36778023 PMCID: PMC9909284 DOI: 10.3389/fphar.2023.1008330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction: Next-generation sequencing (NGS) technologies have been widely used in clinical genomic testing for drug response phenotypes. However, the inherent limitations of short reads make accurate inference of diplotypes still challenging, which may reduce the effectiveness of genotype-guided drug therapy. Methods: An automated Pharmacogenomics Annotation tool (PAnno) was implemented, which reports prescribing recommendations and phenotypes by parsing the germline variant call format (VCF) file from NGS and the population to which the individual belongs. Results: A ranking model dedicated to inferring diplotypes, developed based on the allele (haplotype) definition and population allele frequency, was introduced in PAnno. The predictive performance was validated in comparison with four similar tools using the consensus diplotype data of the Genetic Testing Reference Materials Coordination Program (GeT-RM) as ground truth. An annotation method was proposed to summarize prescribing recommendations and classify drugs into avoid use, use with caution, and routine use, following the recommendations of the Clinical Pharmacogenetics Implementation Consortium (CPIC), etc. It further predicts phenotypes of specific drugs in terms of toxicity, dosage, efficacy, and metabolism by integrating the high-confidence clinical annotations in the Pharmacogenomics Knowledgebase (PharmGKB). PAnno is available at https://github.com/PreMedKB/PAnno. Discussion: PAnno provides an end-to-end clinical pharmacogenomics decision support solution by resolving, annotating, and reporting germline variants.
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Affiliation(s)
- Yaqing Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zipeng Lin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qiaochu Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Leqing Sang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yunjin Wang
- Department of Breast Surgery, Precision Cancer Medicine Center, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Li Guo
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, China,*Correspondence: Li Guo, ; Ying Yu,
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China,*Correspondence: Li Guo, ; Ying Yu,
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25
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Soria-Chacartegui P, Zubiaur P, Ochoa D, Villapalos-García G, Román M, Matas M, Figueiredo-Tor L, Mejía-Abril G, Calleja S, de Miguel A, Navares-Gómez M, Martín-Vilchez S, Abad-Santos F. Genetic Variation in CYP2D6 and SLC22A1 Affects Amlodipine Pharmacokinetics and Safety. Pharmaceutics 2023; 15:404. [PMID: 36839726 PMCID: PMC9959242 DOI: 10.3390/pharmaceutics15020404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/27/2023] Open
Abstract
Amlodipine is an antihypertensive drug with unknown pharmacogenetic biomarkers. This research is a candidate gene study that looked for associations between amlodipine pharmacokinetics and safety and pharmacogenes. Pharmacokinetic and safety data were taken from 160 volunteers from eight bioequivalence trials. In the exploratory step, 70 volunteers were genotyped for 44 polymorphisms in different pharmacogenes. CYP2D6 poor metabolizers (PMs) showed higher half-life (t1/2) (univariate p-value (puv) = 0.039, multivariate p-value (pmv) = 0.013, β = -5.31, R2 = 0.176) compared to ultrarapid (UMs), normal (NMs) and intermediate metabolizers (IMs). SLC22A1 rs34059508 G/A genotype was associated with higher dose/weight-corrected area under the curve (AUC72/DW) (puv = 0.025; pmv = 0.026, β = 578.90, R2 = 0.060) compared to the G/G genotype. In the confirmatory step, the cohort was increased to 160 volunteers, who were genotyped for CYP2D6, SLC22A1 and CYP3A4. In addition to the previous associations, CYP2D6 UMs showed a lower AUC72/DW (puv = 0.046, pmv = 0.049, β = -68.80, R2 = 0.073) compared to NMs, IMs and PMs and the SLC22A1 rs34059508 G/A genotype was associated with thoracic pain (puv = 0.038) and dizziness (puv = 0.038, pmv = 0.014, log OR = 10.975). To our knowledge, this is the first work to report a strong relationship between amlodipine and CYP2D6 and SLC22A1. Further research is needed to gather more evidence before its application in clinical practice.
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Affiliation(s)
- Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children’s Mercy Research Institute, Kansas City, MO 64102, USA
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Miriam Matas
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Laura Figueiredo-Tor
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Sofía Calleja
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
- Servicio de Bioquímica Clínica, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Alejandro de Miguel
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Samuel Martín-Vilchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
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26
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Liu W, Li J, Zhao R, Lu Y, Huang P. The Uridine diphosphate (UDP)-glycosyltransferases (UGTs) superfamily: the role in tumor cell metabolism. Front Oncol 2023; 12:1088458. [PMID: 36741721 PMCID: PMC9892627 DOI: 10.3389/fonc.2022.1088458] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/09/2022] [Indexed: 01/20/2023] Open
Abstract
UDP-glycosyltransferases (UGTs), important enzymes in biotransformation, control the levels and distribution of numerous endogenous signaling molecules and the metabolism of a wide range of endogenous and exogenous chemicals. The UGT superfamily in mammals consists of the UGT1, UGT2, UGT3, and UGT8 families. UGTs are rate-limiting enzymes in the glucuronate pathway, and in tumors, they are either overexpressed or underexpressed. Alterations in their metabolism can affect gluconeogenesis and lipid metabolism pathways, leading to alterations in tumor cell metabolism, which affect cancer development and prognosis. Glucuronidation is the most common mammalian conjugation pathway. Most of its reactions are mainly catalyzed by UGT1A, UGT2A and UGT2B. The body excretes UGT-bound small lipophilic molecules through the bile, urine, or feces. UGTs conjugate a variety of tiny lipophilic molecules to sugars, such as galactose, xylose, acetylglucosamine, glucuronic acid, and glucose, thereby inactivating and making water-soluble substrates, such as carcinogens, medicines, steroids, lipids, fatty acids, and bile acids. This review summarizes the roles of members of the four UGT enzyme families in tumor function, metabolism, and multiple regulatory mechanisms, and its Inhibitors and inducers. The function of UGTs in lipid metabolism, drug metabolism, and hormone metabolism in tumor cells are among the most important topics covered.
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Affiliation(s)
| | | | | | - Yao Lu
- *Correspondence: Yao Lu, ; Panpan Huang,
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Gurjar R, Dickinson L, Carr D, Stöhr W, Bonora S, Owen A, D'Avolio A, Cursley A, De Castro N, Fätkenheuer G, Vandekerckhove L, Di Perri G, Pozniak A, Schwimmer C, Raffi F, Boffito M. Influence of UGT1A1 and SLC22A6 polymorphisms on the population pharmacokinetics and pharmacodynamics of raltegravir in HIV-infected adults: a NEAT001/ANRS143 sub-study. Pharmacogenomics J 2023; 23:14-20. [PMID: 36266537 PMCID: PMC9584256 DOI: 10.1038/s41397-022-00293-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 09/13/2022] [Accepted: 09/29/2022] [Indexed: 11/04/2022]
Abstract
Using concentration-time data from the NEAT001/ARNS143 study (single sample at week 4 and 24), we determined raltegravir pharmacokinetic parameters using nonlinear mixed effects modelling (NONMEM v.7.3; 602 samples from 349 patients) and investigated the influence of demographics and SNPs (SLC22A6 and UGT1A1) on raltegravir pharmacokinetics and pharmacodynamics. Demographics and SNPs did not influence raltegravir pharmacokinetics and no significant pharmacokinetic/pharmacodynamic relationships were observed. At week 96, UGT1A1*28/*28 was associated with lower virological failure (p = 0.012), even after adjusting for baseline CD4 count (p = 0.048), but not when adjusted for baseline HIV-1 viral load (p = 0.082) or both (p = 0.089). This is the first study to our knowledge to assess the influence of SNPs on raltegravir pharmacodynamics. The lack of a pharmacokinetic/pharmacodynamic relationship is potentially an artefact of raltegravir's characteristic high inter and intra-patient variability and also suggesting single time point sampling schedules are inadequate to thoroughly assess the influence of SNPs on raltegravir pharmacokinetics.
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Affiliation(s)
- Rohan Gurjar
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK
| | - Laura Dickinson
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.
| | - Daniel Carr
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK
| | | | - Stefano Bonora
- Unit of Infectious Diseases, University of Turin, Turin, Italy
| | - Andrew Owen
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK
| | | | | | - Nathalie De Castro
- Infectious Diseases Department, AP-HP Hôpital Saint-Louis, Paris, France
| | | | - Linos Vandekerckhove
- HIV Translational Research Unit, Ghent University and Ghent University Hospital, Ghent, Belgium
| | | | | | - Christine Schwimmer
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - François Raffi
- Department of Infectious Diseases, Centre Hospitalier Universitaire de Nantes, and CIC 1413, INSERM, Nantes, France
| | - Marta Boffito
- Chelsea and Westminster NHS Trust, London, UK.,Imperial College, London, UK
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28
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Sharma A, Sharma P, Kapila I, Abbot V. A Combination of Novel HIV-1 Protease Inhibitor and Cytochrome P450 (CYP) Enzyme Inhibitor to Explore the Future Prospective of Antiviral Agents: Evotaz. Curr HIV Res 2023; 21:149-159. [PMID: 37221692 DOI: 10.2174/1570162x21666230522123631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 03/27/2023] [Accepted: 04/19/2023] [Indexed: 05/25/2023]
Abstract
Viruses belong to the class of micro-organisms that are well known for causing infections in the human body. Antiviral medications are given out to prevent the spread of disease-causing viruses. When the viruses are actively reproducing, these agents have their greatest impact. It is particularly challenging to develop virus-specific medications since viruses share the majority of the metabolic functions of the host cell. In the continuous search for better antiviral agents, the United States Food and Drug Administration (USFDA) approved a new drug named Evotaz on January 29, 2015 for the treatment of human immunodeficiency virus (HIV). Evotaz is a combined once-daily fixed drug, containing Atazanavir, an HIV protease inhibitor, and cobicistat, an inhibitor of the human liver cytochrome P450 (CYP) enzyme. The medication is created such that it can kill viruses by concurrently inhibiting protease and CYP enzymes. The medicine is still being studied for a number of criteria, but its usefulness in children under the age of 12 is currently unknown. The preclinical and clinical characteristics of Evotaz, as well as its safety and efficacy profiles and a comparison of the novel drug with antiviral medications presently available in the market, are the main topics of this review paper.
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Affiliation(s)
- Abha Sharma
- Faculty of Pharmaceutical Sciences, PCTE Group of Institutes, Campus-2, Near Baddowal Cantt., Ferozpur Road, Ludhiana, 142021, India
| | - Poonam Sharma
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, Himachal Pradesh, India
| | - Isha Kapila
- Pharmaceutical Chemistry Department, Chandigarh College of Pharmacy, Landran, Mohali, 140307, Punjab, India
| | - Vikrant Abbot
- Department of Pharmaceutical Sciences, Saraswati Group of Colleges, Gharuan, Mohali, 140413, Punjab, India
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29
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Moreira F, Tarozzo M, Nardotto G, Gonçalves J, Schmidt S, de-Moraes N. Assessing the contribution of UGT isoforms on raltegravir drug disposition through PBPK modeling. Eur J Pharm Sci 2022; 179:106309. [DOI: 10.1016/j.ejps.2022.106309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/13/2022] [Accepted: 10/16/2022] [Indexed: 11/24/2022]
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30
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AL-Taie A, Büyük AŞ, Sardas S. Considerations into pharmacogenomics of COVID-19 pharmacotherapy: Hope, hype and reality. Pulm Pharmacol Ther 2022; 77:102172. [PMID: 36265833 PMCID: PMC9576910 DOI: 10.1016/j.pupt.2022.102172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022]
Abstract
COVID-19 medicines, such as molnupiravir are beginning to emerge for public health and clinical practice. On the other hand, drugs display marked variability in their efficacy and safety. Hence, COVID-19 medicines, as with all drugs, will be subject to the age-old maxim “one size prescription does not fit all”. In this context, pharmacogenomics is the study of genome-by-drug interactions and offers insights on mechanisms of patient-to-patient and between-population variations in drug efficacy and safety. Pharmacogenomics information is crucial to tailoring the patients' prescriptions to achieve COVID-19 preventive and therapeutic interventions that take into account the host biology, patients’ genome, and variable environmental exposures that collectively influence drug efficacy and safety. This expert review critically evaluates and summarizes the pharmacogenomics and personalized medicine aspects of the emerging COVID-19 drugs, and other selected drug interventions deployed to date. Here, we aim to sort out the hope, hype, and reality and suggest that there are veritable prospects to advance COVID-19 medicines for public health benefits, provided that pharmacogenomics is considered and implemented adequately. Pharmacogenomics is an integral part of rational and evidence-based medical practice. Scientists, health care professionals, pharmacists, pharmacovigilance practitioners, and importantly, patients stand to benefit by expanding the current pandemic response toolbox by the science of pharmacogenomics, and its applications in COVID-19 medicines and clinical trials.
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Affiliation(s)
- Anmar AL-Taie
- Clinical Pharmacy Department, Faculty of Pharmacy, Istinye University, Istanbul, Turkey,Corresponding author
| | - Ayşe Şeyma Büyük
- Department of Pharmaceutical Toxicology, Faculty of Pharmacy, Istinye University, Istanbul, Turkey
| | - Semra Sardas
- Department of Pharmaceutical Toxicology, Faculty of Pharmacy, Istinye University, Istanbul, Turkey
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31
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Iversen DB, Andersen NE, Dalgård Dunvald A, Pottegård A, Stage TB. Drug metabolism and drug transport of the 100 most prescribed oral drugs. Basic Clin Pharmacol Toxicol 2022; 131:311-324. [PMID: 35972991 PMCID: PMC9804310 DOI: 10.1111/bcpt.13780] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 01/05/2023]
Abstract
Safe and effective use of drugs requires an understanding of metabolism and transport. We identified the 100 most prescribed drugs in six countries and conducted a literature search on in vitro data to assess contribution of Phase I and II enzymes and drug transporters to metabolism and transport. Eighty-nine of the 100 drugs undergo drug metabolism or are known substrates for drug transporters. Phase I enzymes are involved in metabolism of 67 drugs, while Phase II enzymes mediate metabolism of 18 drugs. CYP3A4/5 is the most important Phase I enzyme involved in metabolism of 43 drugs followed by CYP2D6 (23 drugs), CYP2C9 (23 drugs), CYP2C19 (22 drugs), CYP1A2 (14 drugs) and CYP2C8 (11 drugs). More than half of the drugs (54 drugs) are known substrates for drug transporters. P-glycoprotein (P-gp) is known to be involved in transport of 30 drugs, while breast cancer resistance protein (BCRP) facilitates transport of 11 drugs. A considerable proportion of drugs are subject to a combination of Phase I metabolism, Phase II metabolism and/or drug transport. We conclude that the majority of the most frequently prescribed drugs depend on drug metabolism or drug transport. Thus, understanding variability of drug metabolism and transport remains a priority.
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Affiliation(s)
- Ditte B. Iversen
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
| | - Nanna Elman Andersen
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
| | - Ann‐Cathrine Dalgård Dunvald
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
| | - Anton Pottegård
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
| | - Tore B. Stage
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public HealthUniversity of Southern DenmarkOdenseDenmark
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32
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Campodónico DM, Zubiaur P, Soria‐Chacartegui P, Casajús A, Villapalos‐García G, Navares‐Gómez M, Gómez‐Fernández A, Parra‐Garcés R, Mejía‐Abril G, Román M, Martín‐Vílchez S, Ochoa D, Abad‐Santos F. CYP2C8*3 and *4 define CYP2C8 phenotype: An approach with the substrate cinitapride. Clin Transl Sci 2022; 15:2613-2624. [PMID: 36065758 PMCID: PMC9652446 DOI: 10.1111/cts.13386] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/08/2022] [Accepted: 07/22/2022] [Indexed: 01/25/2023] Open
Abstract
Cinitapride is a gastrointestinal prokinetic drug, prescribed for the treatment of functional dyspepsia, and as an adjuvant therapy for gastroesophageal reflux disease. In this study, we aimed to explore the impact of relevant variants in CYP3A4 and CYP2C8 and other pharmacogenes, along with demographic characteristics, on cinitapride pharmacokinetics and safety; and to evaluate the impact of CYP2C8 alleles on the enzyme's function. Twenty-five healthy volunteers participating in a bioequivalence clinical trial consented to participate in the study. Participants were genotyped for 56 variants in 19 genes, including cytochrome P450 (CYP) enzymes (e.g., CYP2C8 or CYP3A4) or transporters (e.g., SLC or ABC), among others. CYP2C8*3 carriers showed a reduction in AUC of 42% and Cmax of 35% compared to *1/*1 subjects (p = 0.003 and p = 0.011, respectively). *4 allele carriers showed a 45% increase in AUC and 63% in Cmax compared to *1/*1 subjects, although these differences did not reach statistical significance. CYP2C8*3 and *4 alleles may be used to infer the following pharmacogenetic phenotypes: ultrarapid (UM) (*3/*3), rapid (RM) (*1/*3), normal (NM) (*1/*1), intermediate (IM) (*1/*4), and poor (PM) metabolizers (*4/*4). In this study, we properly characterized RMs, NMs, and IMs; however, additional studies are required to properly characterize UMs and PMs. These findings should be relevant with respect to cinitapride, but also to numerous CYP2C8 substrates such as imatinib, loperamide, montelukast, ibuprofen, paclitaxel, pioglitazone, repaglinide, or rosiglitazone.
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Affiliation(s)
- Diana María Campodónico
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Instituto de Salud Carlos IIIMadridSpain
| | - Paula Soria‐Chacartegui
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Ana Casajús
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Gonzalo Villapalos‐García
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Marcos Navares‐Gómez
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Antía Gómez‐Fernández
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Raúl Parra‐Garcés
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Gina Mejía‐Abril
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Manuel Román
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Samuel Martín‐Vílchez
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Dolores Ochoa
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain
| | - Francisco Abad‐Santos
- Clinical Pharmacology Department, Instituto Teófilo HernandoInstituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM)MadridSpain,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Instituto de Salud Carlos IIIMadridSpain
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33
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Griesel R, Sinxadi P, Kawuma A, Joska J, Sokhela S, Akpomiemie G, Venter F, Denti P, Haas DW, Maartens G. Pharmacokinetic and pharmacogenetic associations with dolutegravir neuropsychiatric adverse events in an African population. J Antimicrob Chemother 2022; 77:3110-3117. [PMID: 36031789 PMCID: PMC7613765 DOI: 10.1093/jac/dkac290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/04/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Dolutegravir has been associated with neuropsychiatric adverse events (NPAEs), but relationships between dolutegravir concentrations and NPAEs are unclear. OBJECTIVES To determine in an African population whether a concentration-response relationship exists between dolutegravir and treatment-emergent NPAEs, and whether selected loss-of-function polymorphisms in genes encoding UDP-glucuronosyltransferase-1A1 (the major metabolizing enzyme for dolutegravir) and organic cation transporter-2 (involved in neurotransmitter transport and inhibited by dolutegravir) are associated with NPAEs. METHODS Antiretroviral therapy-naive participants randomized to dolutegravir-based therapy in the ADVANCE study were enrolled into a pharmacokinetic sub-study. Primary outcome was change in mental health screening [modified mini screen (MMS)] and sleep quality from baseline to weeks 4, 12 and 24. Dolutegravir exposure was estimated using a population pharmacokinetic model. Polymorphisms analysed were UGT1A1 rs887829 and SLC22A2 rs316019. RESULTS Data from 464 participants were available for pharmacokinetic analyses and 301 for genetic analyses. By multivariable linear regression, higher dolutegravir exposure was associated with worsening sleep quality only at week 12 [coefficient = -0.854 (95% CI -1.703 to -0.005), P = 0.049], but with improved MMS score at weeks 12 and 24 [coefficient = -1.255 (95% CI -2.250 to -0.261), P = 0.013 and coefficient = -1.199 (95% CI -2.030 to -0.368), P = 0.005, respectively]. The UGT1A1 and SLC22A2 polymorphisms were not associated with change in MMS score or sleep quality. CONCLUSIONS Only at week 12 did we find evidence of a relationship between dolutegravir exposure and worsening sleep quality. However, higher dolutegravir exposure was associated with improved MMS scores, suggesting a possible beneficial effect.
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Affiliation(s)
- Rulan Griesel
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Phumla Sinxadi
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Aida Kawuma
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - John Joska
- HIV Mental Health Research Unit, Division of Neuropsychiatry, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Simiso Sokhela
- Ezintsha, Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Godspower Akpomiemie
- Ezintsha, Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Francois Venter
- Ezintsha, Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - David W Haas
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Internal Medicine, Meharry Medical College, Nashville, TN, USA
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
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Bravo-Gómez A, Salvador-Martín S, Zapata-Cobo P, Sanjurjo-Sáez M, López-Fernández LA. Genotyping of UGT1A1*80 as an Alternative to UGT1A1*28 Genotyping in Spain. Pharmaceutics 2022; 14:pharmaceutics14102082. [PMID: 36297516 PMCID: PMC9610287 DOI: 10.3390/pharmaceutics14102082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The variant rs34983651 (UGT1A1*28) and its genotyping are used to prevent irinotecan-induced toxicity. Several variants are in close linkage disequilibrium. Our objective was to evaluate the potential correlation of genotyping UGT1A1*80 instead of UGT1A1*28 in different populations. Methods: We studied SNPs in linkage disequilibrium with UGT1A1*28 in several populations and selected rs887829 to develop an inexpensive and rapid genotyping method and compare it with the one we currently use for UGT1A1*28 genotyping. Samples from cancer patients (n = 701) already tested using PCR and electrophoresis prior to treatment with irinotecan for rs34983651 (UGT1A1*28) in a Spanish hospital were genotyped for rs887829 (UGT1A1*80) using real-time PCR with a TaqMan probe. Results: We observed a complete match for both genotypes, except in one sample. This method was 100% efficient in correctly genotyping *28/*28 patients, 99.68% efficient for *1/*28, and 100% efficient for *1/*1. Linkage disequilibrium between populations showed the Iberian population to be the most suitable for the clinical use of UGT1A1*80. This method is less expensive and the time to decision is shorter. Conclusion: Genotyping of rs887829 using the proposed method may be used to substitute genotyping of rs34983651 as a pharmacogenetics test in cancer patients prior to starting irinotecan-based treatments, mainly in the Iberian population. In addition, it is less expensive than other conventional methods and easy to implement, with a shorter time to decision than UGT1A1*28.
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Affiliation(s)
- Adrián Bravo-Gómez
- Servicio de Bioquímica, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
| | - Sara Salvador-Martín
- Servicio de Farmacia, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
- Correspondence: (S.S.-M.); (L.A.L.-F.)
| | - Paula Zapata-Cobo
- Servicio de Farmacia, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
| | - María Sanjurjo-Sáez
- Servicio de Farmacia, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
| | - Luis Andrés López-Fernández
- Servicio de Farmacia, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
- Correspondence: (S.S.-M.); (L.A.L.-F.)
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Zubiaur P, Figueiredo-Tor L, Villapalos-García G, Soria-Chacartegui P, Navares-Gómez M, Novalbos J, Matas M, Calleja S, Mejía-Abril G, Román M, Ochoa D, Abad-Santos F. Association between CYP2C19 and CYP2B6 phenotypes and the pharmacokinetics and safety of diazepam. Biomed Pharmacother 2022; 155:113747. [PMID: 36162369 DOI: 10.1016/j.biopha.2022.113747] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/13/2022] [Accepted: 09/21/2022] [Indexed: 11/02/2022] Open
Abstract
Diazepam is a benzodiazepine (BZD) used worldwide for a variety of conditions. Long-term use of diazepam increases the risk for developing tolerance and dependence and for the occurrence of adverse drug reactions (ADRs). CYP3A4 and CYP2C19 mainly metabolize diazepam and are therefore the primary pharmacogenetic candidate biomarkers. In this work, we aimed to explore the impact of CYP3A4 and CYP2C19 phenotypes and of 99 additional variants in other 31 pharmacogenes (including other CYP, UGT, NAT2 and CES enzymes, ABC and SLC transporters) on diazepam pharmacokinetic variability and safety. 30 healthy volunteers that had participated in a single-dose bioequivalence clinical trial of two diazepam formulations were enrolled in the present candidate gene pharmacogenetic study. CYP2C19 poor metabolizers (PMs) showed an almost 2-fold increase in AUC0-∞/DW compared to rapid (RMs) or normal (NM) metabolizers, and a 1.46-fold increase compared to intermediate metabolizers (IMs). CYP2B6 PMs showed a 2,74-fold higher AUC0-∞/DW compared to RMs, and 2.10-fold compared to NMs (p < 0.007). A dose reduction of 25-50 % may be appropriate for CYP2C19 or CYP2B6 PMs to avoid ADRs, dependence and tolerance. Combined CYP2C19 +CYP2B6 PMs may not use diazepam or sharper dose adjustments (e.g., a dose reduction of 50-70 %) may be advisable. To our knowledge, this is the first work to report a strong relationship between CYP2B6 phenotype and diazepam pharmacokinetics. Additional nominal associations (i.e., 0.007 <p < 0.05) between ABCG2, ABCB1, NAT2 and UGT1A4 polymorphisms and pharmacokinetic variability were observed; further research should elaborate on the clinical relevance of the described associations.
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Affiliation(s)
- Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
| | - Laura Figueiredo-Tor
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Jesús Novalbos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Miriam Matas
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Sofía Calleja
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain.
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Zubiaur P, Matas M, Martín-vílchez S, Soria-chacartegui P, Villapalos-garcía G, Figueiredo-tor L, Calleja S, Navares-gómez M, de Miguel A, Novalbos J, Mejía-abril G, Luquero-bueno S, Román M, Ochoa D, Abad-santos F. Polymorphism of Drug Transporters, Rather Than Metabolizing Enzymes, Conditions the Pharmacokinetics of Rasagiline. Pharmaceutics 2022; 14:2001. [PMID: 36297437 PMCID: PMC9610285 DOI: 10.3390/pharmaceutics14102001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
Rasagiline is a selective and irreversible inhibitor of monoamine oxidase type B with neuroprotective effect, indicated for the management of Parkinson’s disease. The aim of this work was to evaluate the impact of seven CYP1A2 alleles and of 120 additional variants located in other CYP enzymes (e.g., CYP2C19), UGT enzymes (e.g., UGT1A1) or other enzymes (e.g., NAT2), and transporters (e.g., SLCO1B1) on the pharmacokinetic variability and safety of rasagiline. A total of 118 healthy volunteers enrolled in four bioequivalence clinical trials consented to participate in this pharmacogenetic study. CYP1A2 alleles were not associated with the pharmacokinetic variability of rasagiline. Patients with ABCB1 rs1045642 G/A+A/A genotypes presented higher area under the curve adjusted by dose per weight (AUC0-∞/DW) than those with the G/G genotype (p = 0.012) and lower volume of distribution (Vd/F) and clearance (Cl/F) (p = 0.001 and p = 0.012, respectively). Subjects with the ABCC2 rs2273697 A/A genotype presented lower tmax (i.e., the time to reach the maximum concentration, Cmax) compared to those with G/G+G/A genotypes (p = 0.001). Volunteers with the SLC22A1 *1/*5 genotype exhibited lower Cmax/DW and higher tmax (p = 0.003 and p = 0.018, respectively) than subjects with the *1/*1 diplotype. Only one adverse drug reaction was reported: headache. Our results suggest the genetic polymorphism of drug transporters, rather than metabolizing enzymes, conditions the pharmacokinetics of rasagiline.
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A M Subbaiah M, Subramani L, Ramar T, Desai S, Sinha S, Mandlekar S, Kadow JF, Jenkins S, Krystal M, Subramanian M, Sridhar S, Padmanabhan S, Bhutani P, Arla R, Meanwell NA. Improving Drug Delivery While Tailoring Prodrug Activation to Modulate Cmax and Cmin by Optimization of (Carbonyl)oxyalkyl Linker-Based Prodrugs of Atazanavir. J Med Chem 2022; 65:11150-11176. [PMID: 35952307 DOI: 10.1021/acs.jmedchem.2c00632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Structure-property relationships associated with a series of (carbonyl)oxyalkyl amino acid ester prodrugs of the marketed HIV-1 protease inhibitor atazanavir (1), designed to enhance the systemic drug delivery, were examined. Compared to previously reported prodrugs, optimized candidates delivered significantly enhanced plasma exposure and trough concentration (Cmin at 24 h) of 1 in rats while revealing differentiated PK paradigms based on the kinetics of prodrug activation and drug release. Prodrugs incorporating primary amine-containing amino acid promoieties offered the benefit of rapid bioactivation that translated into low circulating levels of the prodrug while delivering a high Cmax value of 1. Interestingly, the kinetic profile of prodrug cleavage could be tailored for slower activation by structural modification of the amino terminus to either a tertiary amine or a dipeptide motif, which conferred a circulating depot of the prodrug that orchestrated a sustained release of 1 along with substantially reduced Cmax and a further enhanced Cmin.
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Affiliation(s)
- Murugaiah A M Subbaiah
- Department of Medicinal Chemistry (Prodrug Group), Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Lakshumanan Subramani
- Department of Medicinal Chemistry (Prodrug Group), Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Thangeswaran Ramar
- Department of Medicinal Chemistry (Prodrug Group), Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Salil Desai
- Department of Biopharmaceutics, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Sarmistha Sinha
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Sandhya Mandlekar
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - John F Kadow
- Department of Small Molecule Drug Discovery, Bristol Myers Squibb Research and Early Development, P.O. Box 4000, Princeton, New Jersey 08543-4000, United States
| | - Susan Jenkins
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, P.O. Box 4000, Princeton, New Jersey 08543-4000, United States
| | - Mark Krystal
- Department of Virology, Bristol Myers Squibb Research and Early Development, P.O. Box 4000, Princeton, New Jersey 08543-4000, United States
| | - Murali Subramanian
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Srikanth Sridhar
- Department of Biopharmaceutics, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Shweta Padmanabhan
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Priyadeep Bhutani
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Rambabu Arla
- Department of Pharmaceutical Candidate Optimization, Biocon-Bristol Myers Squibb Research and Development Centre, Biocon Park, Bommasandra IV Phase, Jigani Link Road, Bangalore 560099, India
| | - Nicholas A Meanwell
- Department of Small Molecule Drug Discovery, Bristol Myers Squibb Research and Early Development, P.O. Box 4000, Princeton, New Jersey 08543-4000, United States
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Varughese LA, Bhupathiraju M, Hoffecker G, Terek S, Harr M, Hakonarson H, Cambareri C, Marini J, Landgraf J, Chen J, Kanter G, Lau-Min KS, Massa RC, Damjanov N, Reddy NJ, Oyer RA, Teitelbaum UR, Tuteja S. Implementing Pharmacogenetic Testing in Gastrointestinal Cancers (IMPACT-GI): Study Protocol for a Pragmatic Implementation Trial for Establishing DPYD and UGT1A1 Screening to Guide Chemotherapy Dosing. Front Oncol 2022; 12:859846. [PMID: 35865463 PMCID: PMC9295185 DOI: 10.3389/fonc.2022.859846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background Fluoropyrimidines (fluorouracil [5-FU], capecitabine) and irinotecan are commonly prescribed chemotherapy agents for gastrointestinal (GI) malignancies. Pharmacogenetic (PGx) testing for germline DPYD and UGT1A1 variants associated with reduced enzyme activity holds the potential to identify patients at high risk for severe chemotherapy-induced toxicity. Slow adoption of PGx testing in routine clinical care is due to implementation barriers, including long test turnaround times, lack of integration in the electronic health record (EHR), and ambiguity in test cost coverage. We sought to establish PGx testing in our health system following the Exploration, Preparation, Implementation, Sustainment (EPIS) framework as a guide. Our implementation study aims to address barriers to PGx testing. Methods The Implementing Pharmacogenetic Testing in Gastrointestinal Cancers (IMPACT-GI) study is a non-randomized, pragmatic, open-label implementation study at three sites within a major academic health system. Eligible patients with a GI malignancy indicated for treatment with 5-FU, capecitabine, or irinotecan will undergo PGx testing prior to chemotherapy initiation. Specimens will be sent to an academic clinical laboratory followed by return of results in the EHR with appropriate clinical decision support for the care team. We hypothesize that the availability of a rapid turnaround PGx test with specific dosing recommendations will increase PGx test utilization to guide pharmacotherapy decisions and improve patient safety outcomes. Primary implementation endpoints are feasibility, fidelity, and penetrance. Exploratory analyses for clinical effectiveness of genotyping will include assessing grade ≥3 treatment-related toxicity using available clinical data, patient-reported outcomes, and quality of life measures. Conclusion We describe the formative work conducted to prepare our health system for DPYD and UGT1A1 testing. Our prospective implementation study will evaluate the clinical implementation of this testing program and create the infrastructure necessary to ensure sustainability of PGx testing in our health system. The results of this study may help other institutions interested in implementing PGx testing in oncology care. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT04736472, identifier [NCT04736472].
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Affiliation(s)
- Lisa A. Varughese
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Madhuri Bhupathiraju
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Glenda Hoffecker
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Shannon Terek
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Margaret Harr
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Christine Cambareri
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Jessica Marini
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Landgraf
- Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jinbo Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Genevieve Kanter
- Division of Medical Ethics and Health Policy, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kelsey S. Lau-Min
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Ryan C. Massa
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nevena Damjanov
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nandi J. Reddy
- Ann B. Barshinger Cancer Institute, Lancaster General Health, Penn Medicine, Lancaster, PA, United States
| | - Randall A. Oyer
- Ann B. Barshinger Cancer Institute, Lancaster General Health, Penn Medicine, Lancaster, PA, United States
| | - Ursina R. Teitelbaum
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- *Correspondence: Sony Tuteja,
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Reizine N, O’Donnell PH. Modern developments in germline pharmacogenomics for oncology prescribing. CA Cancer J Clin 2022; 72:315-332. [PMID: 35302652 PMCID: PMC9262778 DOI: 10.3322/caac.21722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/15/2022] [Accepted: 01/21/2022] [Indexed: 02/06/2023] Open
Abstract
The integration of genomic data into personalized treatment planning has revolutionized oncology care. Despite this, patients with cancer remain vulnerable to high rates of adverse drug events and medication inefficacy, affecting prognosis and quality of life. Pharmacogenomics is a field seeking to identify germline genetic variants that contribute to an individual's unique drug response. Although there is widespread integration of genomic information in oncology, somatic platforms, rather than germline biomarkers, have dominated the attention of cancer providers. Patients with cancer potentially stand to benefit from improved integration of both somatic and germline genomic information, especially because the latter may complement treatment planning by informing toxicity risk for drugs with treatment-limiting tolerabilities and narrow therapeutic indices. Although certain germline pharmacogenes, such as TPMT, UGT1A1, and DPYD, have been recognized for decades, recent attention has illuminated modern potential dosing implications for a whole new set of anticancer agents, including targeted therapies and antibody-drug conjugates, as well as the discovery of additional genetic variants and newly relevant pharmacogenes. Some of this information has risen to the level of directing clinical action, with US Food and Drug Administration label guidance and recommendations by international societies and governing bodies. This review is focused on key new pharmacogenomic evidence and oncology-specific dosing recommendations. Personalized oncology care through integrated pharmacogenomics represents a unique multidisciplinary collaboration between oncologists, laboratory science, bioinformatics, pharmacists, clinical pharmacologists, and genetic counselors, among others. The authors posit that expanded consideration of germline genetic information can further transform the safe and effective practice of oncology in 2022 and beyond.
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Affiliation(s)
- Natalie Reizine
- Division of Hematology and Oncology, Department of Medicine, The University of Illinois at Chicago
| | - Peter H. O’Donnell
- Section of Hematology/Oncology, Department of Medicine, Center for Personalized Therapeutics, and Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago
- Correspondence to: Dr. Peter H. O’Donnell, Section of Hematology/Oncology, Department of Medicine, The University of Chicago, 5841 S. Maryland Avenue, MC2115, Chicago, IL 60637, USA. ()
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Franczyk B, Rysz J, Miłoński J, Konecki T, Rysz-Górzyńska M, Gluba-Brzózka A. Will the Use of Pharmacogenetics Improve Treatment Efficiency in COVID-19? Pharmaceuticals (Basel) 2022; 15:739. [PMID: 35745658 DOI: 10.3390/ph15060739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 12/13/2022] Open
Abstract
The COVID-19 pandemic is associated with a global health crisis and the greatest challenge for scientists and doctors. The virus causes severe acute respiratory syndrome with an outcome that is fatal in more vulnerable populations. Due to the need to find an efficient treatment in a short time, there were several drugs that were repurposed or repositioned for COVID-19. There are many types of available COVID-19 therapies, including antiviral agents (remdesivir, lopinavir/ritonavir, oseltamivir), antibiotics (azithromycin), antiparasitics (chloroquine, hydroxychloroquine, ivermectin), and corticosteroids (dexamethasone). A combination of antivirals with various mechanisms of action may be more efficient. However, the use of some of these medicines can be related to the occurrence of adverse effects. Some promising drug candidates have been found to be ineffective in clinical trials. The knowledge of pharmacogenetic issues, which translate into variability in drug conversion from prodrug into drug, metabolism as well as transport, could help to predict treatment efficiency and the occurrence of adverse effects in patients. However, many drugs used for the treatment of COVID-19 have not undergone pharmacogenetic studies, perhaps as a result of the lack of time.
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Cindi Z, Kawuma AN, Maartens G, Bradford Y, Venter F, Sokhela S, Chandiwana N, Wasmann RE, Denti P, Wiesner L, Ritchie MD, Haas DW, Sinxadi P. Pharmacogenetics of dolutegravir plasma exposure among Southern Africans living with HIV. J Infect Dis 2022; 226:1616-1625. [PMID: 35512135 PMCID: PMC9624457 DOI: 10.1093/infdis/jiac174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/02/2022] [Indexed: 11/25/2022] Open
Abstract
Background Dolutegravir is a component of preferred antiretroviral therapy (ART) regimens. We characterised the pharmacogenetics of dolutegravir exposure following ART initiation in the ADVANCE trial in South Africa. Methods Genome-wide genotyping followed by imputation was performed. We developed a population pharmacokinetic model for dolutegravir using non-linear mixed-effects modelling. Linear regression models examined associations with unexplained variability in dolutegravir area under the concentration-time curve (AUCVAR). Results Genetic associations were evaluable in 284 individuals. Of nine polymorphisms previously associated with dolutegravir pharmacokinetics, the lowest P-value with AUCVAR was UGT1A1 rs887829 (P = 1.8 x 10-4), which was also associated with log10 bilirubin (P = 8.6 x 10-13). After adjusting for rs887829, AUCvar was independently associated with rs28899168 in the UGT1A locus (P = 0.02), as were bilirubin concentrations (P = 7.7 x 10-8). In the population pharmacokinetic model, rs887829 T/T and C/T were associated with 25.9% and 10.8% decreases in dolutegravir clearance, respectively, compared to C/C. The lowest P-value for AUCVAR genome-wide was CAMKMT rs343942 (P = 2.4 x 10-7). Conclusions In South Africa, rs887829 and rs28899168 in the UGT1A locus were independently associated with dolutegravir AUCVAR. The novel rs28899168 association warrants replication. This study enhances understanding of dolutegravir pharmacogenetics in Africa.
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Affiliation(s)
- Zinhle Cindi
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Aida N Kawuma
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.,Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Yuki Bradford
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Francois Venter
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Simiso Sokhela
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nomathemba Chandiwana
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Roeland E Wasmann
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Marylyn D Ritchie
- Genomics and Computational Biology Program, University of Pennsylvania, Philadelphia, Pennsylvania, Department of Genetics, University of Pennsylvania, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Internal Medicine, Meharry Medical College, Nashville, Tennessee, USA
| | - Phumla Sinxadi
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Lin N, Damask A, Boyapati A, Hamilton JD, Hamon S, Ternes N, Nivens MC, Penn J, Lopez A, Reid JG, Overton J, Shuldiner AR, Abecasis G, Baras A, Paulding C. UGT1A1 genetic variants are associated with increases in bilirubin levels in rheumatoid arthritis patients treated with sarilumab. Pharmacogenomics J 2022; 22:160-165. [PMID: 35149777 PMCID: PMC9151390 DOI: 10.1038/s41397-022-00269-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 12/16/2021] [Accepted: 01/24/2022] [Indexed: 11/09/2022]
Abstract
Sarilumab is a human monoclonal antibody against interleukin (IL)-6Rα that has been approved for the treatment of adult patients with moderately to severely active rheumatoid arthritis (RA) and an inadequate response or intolerance to one or more disease-modifying antirheumatic drugs (DMARDs). Mild liver function test abnormalities have been observed in patients treated with sarilumab. We describe a genome-wide association study of bilirubin elevations in RA patients treated with sarilumab. Array genotyping and exome sequencing were performed on DNA samples from 1075 patients. Variants in the UGT1A1 gene were strongly associated with maximum bilirubin elevations in sarilumab-treated patients (rs4148325; p = 2.88 × 10−41) but were not associated with aminotransferase elevations. No other independent loci showed evidence of association with bilirubin elevations after sarilumab treatment. These findings suggest that most bilirubin increases during sarilumab treatment are related to genetic variation in UGT1A1 rather than underlying liver injury.
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Keum J, Lee HS, Jo JH, Chung MJ, Park JY, Park SW, Song SY, Bang S. Impact of UGT1A1 Polymorphisms on Febrile Neutropenia in Pancreatic Cancer Patients Receiving FOLFIRINOX: A Single-Center Cohort Study. Cancers (Basel) 2022; 14:cancers14051244. [PMID: 35267552 PMCID: PMC8909027 DOI: 10.3390/cancers14051244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 02/04/2023] Open
Abstract
FOLFIRINOX (oxaliplatin, leucovorin, irinotecan, and 5-fluorouracil) is a first-line chemotherapy for metastatic pancreatic cancer (PC). Chemotherapy-induced neutropenia is one of the most serious adverse events associated with advanced PC. Although UGT1A1 polymorphisms are associated with the metabolism of irinotecan, their role as surrogate markers for FOLFIRINOX-induced neutropenia has not been confirmed. We investigated risk factors for FN-in particular, UGT1A1 polymorphisms-in PC patients receiving FOLFIRINOX, using a single-center cohort registry. To investigate the association between UGT1A1 polymorphisms and FN, we divided patients into three groups based on the predicted UGT1A1 phenotype: extensive metabolizer (EM) vs. intermediate metabolizer (IM) vs. poor metabolizer (PM). A total of 154 patients (FN group (n = 31) vs. non-FN group (n = 123)) receiving first-line FOLFIRINOX were identified between December 2017 and July 2020. The Cox regression analysis showed that female sex (HR: 2.20; p = 0.031), Eastern Cooperative Oncology Group performance status = 1 (HR: 2.83; p = 0.008), UGT1A1 IM (HR: 4.30; p = 0.004), and UGT1A1 PM (HR: 4.03; p = 0.028) were statistically significant risk factors for FN. We propose that UGT1A1 is the strongest predictive factor for FN and that this gene should be screened prior to the administration of chemotherapy.
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Affiliation(s)
- Jiyoung Keum
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
- Division of Gastroenterology, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul 07985, Korea
| | - Hee Seung Lee
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Jung Hyun Jo
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Moon Jae Chung
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Jeong Youp Park
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Seung Woo Park
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Si Young Song
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
| | - Seungmin Bang
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea; (J.K.); (H.S.L.); (J.H.J.); (M.J.C.); (J.Y.P.); (S.W.P.); (S.Y.S.)
- Correspondence: ; Tel.: +82-2-2228-1995
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Biswas M, Sawajan N, Rungrotmongkol T, Sanachai K, Ershadian M, Sukasem C. Pharmacogenetics and Precision Medicine Approaches for the Improvement of COVID-19 Therapies. Front Pharmacol 2022; 13:835136. [PMID: 35250581 PMCID: PMC8894812 DOI: 10.3389/fphar.2022.835136] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/24/2022] [Indexed: 01/18/2023] Open
Abstract
Many drugs are being administered to tackle coronavirus disease 2019 (COVID-19) pandemic situations without establishing clinical effectiveness or tailoring safety. A repurposing strategy might be more effective and successful if pharmacogenetic interventions are being considered in future clinical studies/trials. Although it is very unlikely that there are almost no pharmacogenetic data for COVID-19 drugs, however, from inferring the pharmacokinetic (PK)/pharmacodynamic(PD) properties and some pharmacogenetic evidence in other diseases/clinical conditions, it is highly likely that pharmacogenetic associations are also feasible in at least some COVID-19 drugs. We strongly mandate to undertake a pharmacogenetic assessment for at least these drug–gene pairs (atazanavir–UGT1A1, ABCB1, SLCO1B1, APOA5; efavirenz–CYP2B6; nevirapine–HLA, CYP2B6, ABCB1; lopinavir–SLCO1B3, ABCC2; ribavirin–SLC28A2; tocilizumab–FCGR3A; ivermectin–ABCB1; oseltamivir–CES1, ABCB1; clopidogrel–CYP2C19, ABCB1, warfarin–CYP2C9, VKORC1; non-steroidal anti-inflammatory drugs (NSAIDs)–CYP2C9) in COVID-19 patients for advancing precision medicine. Molecular docking and computational studies are promising to achieve new therapeutics against SARS-CoV-2 infection. The current situation in the discovery of anti-SARS-CoV-2 agents at four important targets from in silico studies has been described and summarized in this review. Although natural occurring compounds from different herbs against SARS-CoV-2 infection are favorable, however, accurate experimental investigation of these compounds is warranted to provide insightful information. Moreover, clinical considerations of drug–drug interactions (DDIs) and drug–herb interactions (DHIs) of the existing repurposed drugs along with pharmacogenetic (e.g., efavirenz and CYP2B6) and herbogenetic (e.g., andrographolide and CYP2C9) interventions, collectively called multifactorial drug–gene interactions (DGIs), may further accelerate the development of precision COVID-19 therapies in the real-world clinical settings.
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Affiliation(s)
- Mohitosh Biswas
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
- Department of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh
| | - Nares Sawajan
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
- Department of Pathology, School of Medicine, Mae Fah Luang University, Chiang Rai, Thailand
| | - Thanyada Rungrotmongkol
- Structural and Computational Biology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand
| | - Kamonpan Sanachai
- Structural and Computational Biology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | - Maliheh Ershadian
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine, The Preventive Genomics and Family Check-up Services Center, Bumrungrad International Hospital, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- *Correspondence: Chonlaphat Sukasem,
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Reizine NM, Danahey K, Truong TM, George D, House LK, Karrison TG, van Wijk XMR, Yeo KTJ, Ratain MJ, O'Donnell PH. Clinically actionable genotypes for anticancer prescribing among >1500 patients with pharmacogenomic testing. Cancer 2022; 128:1649-1657. [PMID: 35090043 PMCID: PMC9153953 DOI: 10.1002/cncr.34104] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND In recent years, there has been increasing evidence supporting the role of germline pharmacogenomic factors predicting toxicity for anticancer therapies. Although somatic genomic data are used frequently in oncology care planning, germline pharmacogenomic testing is not. This study hypothesizes that comprehensive germline pharmacogenomic profiling could have high relevance for cancer care. METHODS Between January 2011 and August 2020, patients at the University of Chicago Medical Center were genotyped across custom germline pharmacogenomic panels for reasons unrelated to cancer care. Actionable anticancer pharmacogenomic gene/drug interactions identified by the FDA were defined including: CYP2C9 (erdafitinib), CYP2D6 (gefitinib), DPYD (5-fluorouracil and capecitabine), TPMT (thioguanine and mercaptopurine), and UGT1A1 (belinostat, irinotecan, nilotinib, pazopanib, and sacituzumab-govitecan hziy). The primary objective was to determine the frequency of individuals with actionable or high-risk genotypes across these 5 key pharmacogenes, thus potentially impacting prescribing for at least 1 of these 11 commonly prescribed anticancer therapies. RESULTS Data from a total of 1586 genotyped individuals were analyzed. The oncology pharmacogene with the highest prevalence of high-risk, actionable genotypes was UGT1A1, impacting 17% of genotyped individuals. Actionable TPMT and DPYD genotypes were found in 9% and 4% of patients, respectively. Overall, nearly one-third of patients genotyped across all 5 genes (161/525, 31%) had at least one actionable genotype. CONCLUSIONS These data suggest that germline pharmacogenomic testing for 5 key pharmacogenes could identify a substantial proportion of patients at risk with standard dosing, an estimated impact similar to that of somatic genomic profiling. LAY SUMMARY Differences in our genes may explain why some drugs work safely in certain individuals but can cause side effects in others. Pharmacogenomics is the study of how genetic variations affect an individual's response to medications. In this study, an evaluation was done for important genetic variations that can affect the tolerability of anticancer therapy. By analyzing the genetic results of >1500 patients, it was found that nearly one-third have genetic variations that could alter recommendations of what drug, or how much of, an anticancer therapy they should be given. Performing pharmacogenomic testing before prescribing could help to guide personalized oncology care.
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Affiliation(s)
- Natalie M Reizine
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois
| | - Keith Danahey
- Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Center for Research Informatics, University of Chicago, Chicago, Illinois
| | - Tien M Truong
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois
| | - David George
- Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Department of Pathology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois
| | - Larry K House
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois
| | - Theodore G Karrison
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Xander M R van Wijk
- Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Department of Pathology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois
| | - Kiang-Teck J Yeo
- Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Department of Pathology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois
| | - Mark J Ratain
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois
| | - Peter H O'Donnell
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.,Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois.,Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois
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Neumann E, Schreeck F, Herberg J, Jacqz Aigrain E, Maitland-van der Zee AH, Pérez-Martínez A, Hawcutt DB, Schaeffeler E, Rane A, de Wildt SN, Schwab M. How paediatric drug development and use could benefit from OMICs: a c4c expert group white paper. Br J Clin Pharmacol 2022; 88:5017-5033. [PMID: 34997627 DOI: 10.1111/bcp.15216] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/11/2021] [Accepted: 12/14/2021] [Indexed: 12/01/2022] Open
Abstract
The safety and efficacy of pharmacotherapy in children, particularly preterms, neonates, and infants, is limited by a paucity of good quality data from prospective clinical drug trials. A specific challenge is the establishment of valid biomarkers. OMICs technologies may support these efforts, by complementary information about targeted and non-targeted molecules through systematic characterization and quantitation of biological samples. OMICs technologies comprise at least genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics in addition to the patient's phenotype. OMICs technologies are in part hypothesis-generating allowing an in depth understanding of disease pathophysiology and pharmacological mechanisms. Application of OMICs technologies in paediatrics faces major challenges before routine adoption. First, developmental processes need to be considered, including a sub-division into specific age groups as developmental changes clearly impact OMICs data. Second, compared to the adult population, the number of patients is limited as well as type and amount of necessary biomaterial, especially in neonates and preterms. Thus, advanced trial designs and biostatistical methods, non-invasive biomarkers, innovative biobanking concepts including data and samples from healthy children, as well as analytical approaches (e.g. liquid biopsies) should be addressed to overcome these obstacles. The ultimate goal is to link OMICs technologies with innovative analysis tools, like artificial intelligence at an early stage. The use of OMICs data based on a feasible approach will contribute to identify complex phenotypes and subpopulations of patients to improve development of medicines for children with potential economic advantages.
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Affiliation(s)
- Eva Neumann
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Filippa Schreeck
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Jethro Herberg
- Department of Paediatric Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Evelyne Jacqz Aigrain
- Pediatric Pharmacology and Pharmacogenetics, Hopital Universitaire Saint-Louis, Paris, France.,Clinical Investigation Center CIC1426, Hôpital Robert Debre, Paris, France.,Pharmacology, University of Paris, Paris, France
| | | | - Antonio Pérez-Martínez
- Institute for Health Research (IdiPAZ), La Paz University Hospital, Madrid, Spain.,Pediatric Onco-Hematology Department, La Paz University Hospital, Madrid, Spain.,Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain
| | - Daniel B Hawcutt
- Department of Women's and Children's Health, University of Liverpool, UK.,NIHR Alder Hey Clinical Research Facility, Alder Hey Children's Hospital, Liverpool, UK
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Anders Rane
- Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Saskia N de Wildt
- Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.,Intensive Care and Department of Paediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany.,Departments of Clinical Pharmacology, and of Biochemistry and Pharmacy, University of Tuebingen, Tuebingen, Germany
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Maillard M, Louveau B, Vilquin P, Goldwirt L, Thomas F, Mourah S. Pharmacogenomics in solid cancers and hematologic malignancies: Improving personalized drug prescription. Therapie 2021; 77:171-183. [PMID: 34922740 DOI: 10.1016/j.therap.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 09/29/2021] [Indexed: 11/30/2022]
Abstract
The discovery of molecular alterations involved in oncogenesis is evolving rapidly and has led to the development of new innovative targeted therapies in oncology. High-throughput sequencing techniques help to identify genomic targets and to provide predictive molecular biomarkers of response to guide alternative therapeutic strategies. Besides the emergence of these theranostic markers for the new targeted treatments, pharmacogenetic markers (corresponding to genetic variants existing in the constitutional DNA, i.e., the host genome) can help to optimize the use of chemotherapy. In this review, we present the current clinical applications of constitutional PG and the recent concepts and advances in pharmacogenomics, a rapidly evolving field that focuses on various molecular alterations identified on constitutional or somatic (tumor) genome.
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Affiliation(s)
- Maud Maillard
- Institut Claudius-Regaud, Institut universitaire du cancer de Toulouse, IUCT-Oncopole, 31059 Toulouse, France; Centre de recherches en cancérologie de Toulouse CRCT, 31037 Toulouse, France; Université Paul-Sabatier Toulouse III, 31062 Toulouse, France
| | - Baptiste Louveau
- Inserm, UMR_S976, 75475 Paris, France; Université de Paris, 75010 Paris, France; Pharmacogenomics department, Hôpital Saint-Louis, AP-HP, 75010 Paris, France
| | - Paul Vilquin
- Inserm, UMR_S976, 75475 Paris, France; Université de Paris, 75010 Paris, France; Pharmacogenomics department, Hôpital Saint-Louis, AP-HP, 75010 Paris, France
| | - Lauriane Goldwirt
- Inserm, UMR_S976, 75475 Paris, France; Université de Paris, 75010 Paris, France; Pharmacogenomics department, Hôpital Saint-Louis, AP-HP, 75010 Paris, France
| | - Fabienne Thomas
- Institut Claudius-Regaud, Institut universitaire du cancer de Toulouse, IUCT-Oncopole, 31059 Toulouse, France; Centre de recherches en cancérologie de Toulouse CRCT, 31037 Toulouse, France; Université Paul-Sabatier Toulouse III, 31062 Toulouse, France
| | - Samia Mourah
- Inserm, UMR_S976, 75475 Paris, France; Université de Paris, 75010 Paris, France; Pharmacogenomics department, Hôpital Saint-Louis, AP-HP, 75010 Paris, France.
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Mullapudi TVR, Ravi PR, Thipparapu G. UGT1A1 and UGT1A3 activity and inhibition in human liver and intestinal microsomes and a recombinant UGT system under similar assay conditions using selective substrates and inhibitors. Xenobiotica 2021; 51:1236-1246. [PMID: 34698602 DOI: 10.1080/00498254.2021.1998732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In vitro enzyme kinetics and inhibition data was compared for UGT1A1 and UGT1A3 isoforms under similar assay conditions using human liver microsomes (HLM), human intestinal microsomes (HIM) and recombinant UGT (rUGT) enzyme systems.UGT1A1 catalysed β-estradiol 3-β-D-glucuronide formation showed allosteric sigmoidal kinetics in all enzyme systems; while UGT1A3 catalysed CDCA 24-acyl-β-D-glucuronide formation exhibited Michaelis-Menten kinetics in HLM, substrate inhibition kinetics in HIM and rUGT systems. Corresponding Km or S50 concentrations of β-estradiol and CDCA were employed in the respective UGT inhibition studies.Atazanavir inhibited the production of β-estradiol 3-β-D-glucuronide with IC50 values of 0.54 µM and 0.16 µM in HLM and rUGT1A1, respectively. But its inhibition potential was not observed in HIM, indicating potential cross-talk with other high-affinity intestinal UGT isozymes. On the other hand, zafirlukast, a pan UGT inhibitor, exhibited moderate inhibition in HIM with an IC50 value of 16.70 µM. Lithocholic acid, inhibited the production of CDCA 24-acyl-β-D-glucuronide with IC50 values of 1.68, 1.84, and 12.42 µM in HLM, rUGT1A3, and HIM, respectively.These results indicated that HLM, HIM, and rUGTs may be used as complementary in vitro systems to evaluate hepatic and intestinal UGT mediated DDIs at the screening stage.
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Affiliation(s)
- T V Radhakrishna Mullapudi
- Department of Pharmacy, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, India.,Drug Metabolism and Pharmacokinetics, PharmaJen Laboratories Private Limited, A209 Technology Business Incubator, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, India
| | - Punna Rao Ravi
- Department of Pharmacy, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, India
| | - Ganapathi Thipparapu
- Drug Metabolism and Pharmacokinetics, PharmaJen Laboratories Private Limited, A209 Technology Business Incubator, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, India
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Villapalos-García G, Zubiaur P, Navares-Gómez M, Saiz-Rodríguez M, Mejía-Abril G, Martín-Vílchez S, Román M, Ochoa D, Abad-Santos F. Effects of Cytochrome P450 and Transporter Polymorphisms on the Bioavailability and Safety of Dutasteride and Tamsulosin. Front Pharmacol 2021; 12:718281. [PMID: 34690761 PMCID: PMC8529037 DOI: 10.3389/fphar.2021.718281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/27/2021] [Indexed: 11/13/2022] Open
Abstract
Dutasteride and tamsulosin are one of the first-line combination therapies for the management of benign prostatic hyperplasia (BPH). Despite being more effective than monotherapies, they produce frequent adverse drug reactions (ADRs). Institutions such as Food and Drug Administration and European Medicines Agency recommend precaution with CYP2D6 poor metabolizers (PMs) that receive CYP3A4 inhibitors and tamsulosin. However, no specific pharmacogenetic guideline exists for tamsulosin. Furthermore, to date, no pharmacogenetic information is available for dutasteride. Henceforth, we studied the pharmacokinetics and safety of dutasteride/tamsulosin 0.5 mg/0.4 mg capsules according to 76 polymorphisms in 17 candidate pharmacogenes. The study population comprised 79 healthy male volunteers enrolled in three bioequivalence, phase-I, crossover, open, randomized clinical trials with different study designs: the first was single dose in fed state, the second was a single dose in fasting state, and the third was a multiple dose. As key findings, CYP2D6 PMs (i.e., *4/*4 and *4/*5 subjects) and intermediate metabolizers (IMs) (i.e., *1/*4, *1/*5, *4/*15 individuals) presented higher AUC (p = 0.004), higher t1/2 (p = 0.008), and lower Cl/F (p = 0.006) when compared with NMs (*1/*1 individuals) and UMs (1/*1 × 2 individuals) after multiple testing correction. Moreover, fed volunteers showed significantly higher tmax than fasting individuals. Nominally significant associations were observed between dutasteride exposure and CYP3A4 and CYP3A5 genotype and between tamsulosin and ABCG2, CYP3A5, and SLC22A1 genotypes. No association between the occurrence of adverse drug reactions and genotype was observed. Nonetheless, higher incidence of adverse events was found in a multiple-dose clinical trial. Based on our results, we suggest that dose adjustments for PMs and UMs could be considered to ensure drug safety and effectiveness, respectively. Further studies are warranted to confirm other pharmacogenetic associations.
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Affiliation(s)
- Gonzalo Villapalos-García
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain
| | | | - Gina Mejía-Abril
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain
| | - Samuel Martín-Vílchez
- Unidad de Investigación Clínica y Ensayos Clínicos (UICEC) Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain.,Unidad de Investigación Clínica y Ensayos Clínicos (UICEC) Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain.,Unidad de Investigación Clínica y Ensayos Clínicos (UICEC) Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, School of Medicine, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain.,Unidad de Investigación Clínica y Ensayos Clínicos (UICEC) Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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Karas S, Etheridge AS, Nickerson DA, Cox NJ, Mohlke KL, Cecchin E, Toffoli G, Mathijssen RHJ, Forrest A, Bies RR, Innocenti F. Integration of DNA sequencing with population pharmacokinetics to improve the prediction of irinotecan exposure in cancer patients. Br J Cancer 2021. [PMID: 34703007 DOI: 10.1038/s41416-021-01589-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 09/29/2021] [Accepted: 10/05/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Irinotecan (CPT-11) is an anticancer agent widely used to treat adult solid tumours. Large interindividual variability in the clearance of irinotecan and SN-38, its active and toxic metabolite, results in highly unpredictable toxicity. METHODS In 217 cancer patients treated with intravenous irinotecan single agent or in combination, germline DNA was used to interrogate the variation in 84 genes by next-generation sequencing. A stepwise analytical framework including a population pharmacokinetic model with SNP- and gene-based testing was used to identify demographic/clinical/genetic factors that influence the clearance of irinotecan and SN-38. RESULTS Irinotecan clearance was influenced by rs4149057 in SLCO1B1, body surface area, and co-administration of 5-fluorouracil/leucovorin/bevacizumab. SN-38 clearance was influenced by rs887829 in UGT1A1, pre-treatment total bilirubin, and EGFR rare variant burden. Within each UGT1A1 genotype group, elevated pre-treatment total bilirubin and/or presence of at least one rare variant in EGFR resulted in significantly lower SN-38 clearance. The model reduced the interindividual variability in irinotecan clearance from 38 to 34% and SN-38 clearance from 49 to 32%. CONCLUSIONS This new model significantly reduced the interindividual variability in the clearance of irinotecan and SN-38. New genetic factors of variability in clearance have been identified.
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