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van der Lee M, Allard WG, Vossen RHAM, Baak-Pablo RF, Menafra R, Deiman BALM, Deenen MJ, Neven P, Johansson I, Gastaldello S, Ingelman-Sundberg M, Guchelaar HJ, Swen JJ, Anvar SY. Toward predicting CYP2D6-mediated variable drug response from CYP2D6 gene sequencing data. Sci Transl Med 2021; 13:13/603/eabf3637. [PMID: 34290055 DOI: 10.1126/scitranslmed.abf3637] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/11/2021] [Accepted: 06/14/2021] [Indexed: 12/14/2022]
Abstract
Pharmacogenomics is a key component of personalized medicine that promises safer and more effective drug treatment by individualizing drug choice and dose based on genetic profiles. In clinical practice, genetic biomarkers are used to categorize patients into *-alleles to predict CYP450 enzyme activity and adjust drug dosages accordingly. However, this approach leaves a large part of variability in drug response unexplained. Here, we present a proof-of-concept approach that uses continuous-scale (instead of categorical) assignments to predict enzyme activity. We used full CYP2D6 gene sequences obtained with long-read amplicon-based sequencing and cytochrome P450 (CYP) 2D6-mediated tamoxifen metabolism data from a prospective study of 561 patients with breast cancer to train a neural network. The model explained 79% of interindividual variability in CYP2D6 activity compared to 54% with the conventional *-allele approach, assigned enzyme activities to known alleles with previously reported effects, and predicted the activity of previously uncharacterized combinations of variants. The results were replicated in an independent cohort of tamoxifen-treated patients (model R 2 adjusted = 0.66 versus *-allele R 2 adjusted = 0.35) and a cohort of patients treated with the CYP2D6 substrate venlafaxine (model R 2 adjusted = 0.64 versus *-allele R 2 adjusted = 0.55). Human embryonic kidney cells were used to confirm the effect of five genetic variants on metabolism of the CYP2D6 substrate bufuralol in vitro. These results demonstrate the advantage of a continuous scale and a completely phased genotype for prediction of CYP2D6 enzyme activity and could potentially enable more accurate prediction of individual drug response.
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Affiliation(s)
- Maaike van der Lee
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Network for Personalised Therapeutics, 2333 ZA Leiden, Netherlands
| | - William G Allard
- Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Genome Technology Center, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Rolf H A M Vossen
- Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Genome Technology Center, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Renée F Baak-Pablo
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Roberta Menafra
- Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Genome Technology Center, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Birgit A L M Deiman
- Clinical Laboratory, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, Netherlands
| | - Maarten J Deenen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Department of Clinical Pharmacy, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, Netherlands
| | | | - Inger Johansson
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum 5B, 171 77 Solna, Sweden
| | - Stefano Gastaldello
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum 5B, 171 77 Solna, Sweden
| | - Magnus Ingelman-Sundberg
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum 5B, 171 77 Solna, Sweden
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Network for Personalised Therapeutics, 2333 ZA Leiden, Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands. .,Leiden Network for Personalised Therapeutics, 2333 ZA Leiden, Netherlands
| | - Seyed Yahya Anvar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands. .,Leiden Network for Personalised Therapeutics, 2333 ZA Leiden, Netherlands.,Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.,Leiden Genome Technology Center, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
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Abdullahi ST, Olagunju A, Soyinka JO, Bolarinwa RA, Olarewaju OJ, Bakare-Odunola MT, Owen A, Khoo S. Pharmacogenetics of artemether-lumefantrine influence on nevirapine disposition: Clinically significant drug-drug interaction? Br J Clin Pharmacol 2019; 85:540-550. [PMID: 30471138 DOI: 10.1111/bcp.13821] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 10/29/2018] [Accepted: 11/08/2018] [Indexed: 12/17/2022] Open
Abstract
AIMS In this study the influence of first-line antimalarial drug artemether-lumefantrine on the pharmacokinetics of the antiretroviral drug nevirapine was investigated in the context of selected single nucleotide polymorphisms (SNPs) in a cohort of adult HIV-infected Nigerian patients. METHODS This was a two-period, single sequence crossover study. In stage 1, 150 HIV-infected patients receiving nevirapine-based antiretroviral regimens were enrolled and genotyped for seven SNPs. Sparse pharmacokinetic sampling was conducted to identify SNPs independently associated with nevirapine plasma concentration. Patients were categorized as poor, intermediate and extensive metabolizers based on the numbers of alleles of significantly associated SNPs. Intensive sampling was conducted in selected patients from each group. In stage 2, patients received standard artemether-lumefantrine treatment with nevirapine, and intensive pharmacokinetic sampling was conducted on day 3. RESULTS No clinically significant changes were observed in key nevirapine pharmacokinetic parameters, the 90% confidence interval for the measured changes falling completely within the 0.80-1.25 no-effect boundaries. However, the number of patients with trough plasma nevirapine concentration below the 3400 ng ml-1 minimum effective concentration increased from 10% without artemether-lumefantrine (all extensive metabolizers) to 21% with artemether-lumefantrine (14% extensive, 4% intermediate, and 3% poor metabolizers). CONCLUSIONS This approach highlights additional increase in the already existing risk of suboptimal trough plasma concentration, especially in extensive metabolizers when nevirapine is co-administered with artemether-lumefantrine.
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Affiliation(s)
- Sa'ad T Abdullahi
- Department of Pharmaceutical Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria.,Department of Pharmaceutical and Medicinal Chemistry, University of Ilorin, Ilorin, Nigeria
| | - Adeniyi Olagunju
- Department of Pharmaceutical Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria.,Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Julius O Soyinka
- Department of Pharmaceutical Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria
| | - Rahman A Bolarinwa
- Department of Haematology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria
| | - Olusola J Olarewaju
- Department of Haematology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria
| | - Moji T Bakare-Odunola
- Department of Pharmaceutical and Medicinal Chemistry, University of Ilorin, Ilorin, Nigeria
| | - Andrew Owen
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Saye Khoo
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
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Population pharmacokinetics of nevirapine in Malaysian HIV patients: a non-parametric approach. Eur J Clin Pharmacol 2016; 72:831-8. [PMID: 27025609 DOI: 10.1007/s00228-016-2049-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 03/16/2016] [Indexed: 10/22/2022]
Abstract
AIMS Nevirapine is the first non-nucleoside reverse-transcriptase inhibitor approved and is widely used in combination therapy to treat HIV-1 infection. The pharmacokinetics of nevirapine was extensively studied in various populations with a parametric approach. Hence, this study was aimed to determine population pharmacokinetic parameters in Malaysian HIV-infected patients with a non-parametric approach which allows detection of outliers or non-normal distribution contrary to the parametric approach. METHODS Nevirapine population pharmacokinetics was modelled with Pmetrics. A total of 708 observations from 112 patients were included in the model building and validation analysis. Evaluation of the model was based on a visual inspection of observed versus predicted (population and individual) concentrations and plots weighted residual error versus concentrations. Accuracy and robustness of the model were evaluated by visual predictive check (VPC). The median parameters' estimates obtained from the final model were used to predict individual nevirapine plasma area-under-curve (AUC) in the validation dataset. The Bland-Altman plot was used to compare the AUC predicted with trapezoidal AUC. RESULTS The median nevirapine clearance was of 2.92 L/h, the median rate of absorption was 2.55/h and the volume of distribution was 78.23 L. Nevirapine pharmacokinetics were best described by one-compartmental with first-order absorption model and a lag-time. Weighted residuals for the model selected were homogenously distributed over the concentration and time range. The developed model adequately estimated AUC. CONCLUSIONS In conclusion, a model to describe the pharmacokinetics of nevirapine was developed. The developed model adequately describes nevirapine population pharmacokinetics in HIV-infected patients in Malaysia.
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Lee YC, Lin SW, Chen MY, Chang SY, Kuo CH, Sheng WH, Hsieh SM, Sun HY, Chang HY, Wu MR, Liu WC, Wu PY, Yang SP, Zhang JY, Su YC, Luo YZ, Hung CC, Chang SC. Presence of Tablet Remnants of Nevirapine Extended-Release in Stools and Its Impact on Virological Outcome in HIV-1-Infected Patients: A Prospective Cohort Study. PLoS One 2015; 10:e0140574. [PMID: 26465325 PMCID: PMC4605833 DOI: 10.1371/journal.pone.0140574] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 09/26/2015] [Indexed: 01/24/2023] Open
Abstract
Background Nevirapine extended-release (NVP-XR) taken once daily remains an effective antiretroviral agent for patients infected with HIV-1 strains that do not harbor resistance mutations. Presence of tablet remnants of NVP XR in stools was reported in 1.19% and 3.05% of subjects in two clinical trials. However, the prevalence may have been underestimated because the information was retrospectively collected in the studies. Methods Between April and December 2014, we prospectively inquired about the frequency of noticing tablet remnants of NVP XR in stools in HIV-1-infected patients who switched to antiretroviral regimens containing NVP XR plus 2 nucleos(t)ide reverse-transcriptase inhibitors. Patients were invited to participate in therapeutic drug monitoring of plasma concentrations of NVP 12 or 24 hours after taking the previous dose (C12 and C24, respectively) of NVP XR using high-performance liquid chromatography. The information on clinical characteristics, including plasma HIV RNA load and CD4 lymphocyte count, at baseline and during follow-up was recorded. Results During the 9-month study period, 272 patients switched to NVP XR-based regimens and 60 (22.1%) noticed tablet remnants of NVP XR in stools, in whom 54.2% reported noticing the tablet remnants at least once weekly. Compared with patients who did not notice tablet remnants, those who noticed tablet remnants had a higher mean CD4 lymphocyte count (629 vs 495 cells/mm3, P = 0.0002) and a similar mean plasma HIV RNA load (1.57 vs 1.61 log10 copies/mL, P = 0.76) on switch. At about 12 and 24 weeks after switch, patients who noticed tablet remnants continued to have a similar mean plasma HIV RNA load (1.39 vs 1.43 log10 copies/mL, P = 0.43; and 1.30 vs 1.37 log10 copies/mL, P = 0.26, respectively), but had a lower median NVP C12 (3640 vs 4730 ng/mL, P = 0.06), and a similar median NVP C24 (3220 vs 3330 ng/ml, P = 0.95) when compared with those who did not notice tablet remnants. Conclusions The presence of tablet remnants of NVP XR in stools is not uncommon in HIV-1-infected Taiwanese patients receiving NVP XR-based antiretroviral regimens, which does not have an adverse impact on the virological and immunological outcomes.
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Affiliation(s)
- Yi-Chieh Lee
- Department of Internal Medicine, Lotung Poh-Ai Hospital, Lo-Hsu Foundation, Inc., I-Lan, Taiwan
| | - Shu-Wen Lin
- Department of Pharmacy, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Graduate Institute of Clinical Pharmacy, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Mao-Yuan Chen
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Sui-Yuan Chang
- Department of Laboratory Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ching-Hua Kuo
- Department of Pharmacy, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- School of Pharmacy, National Taiwan University, Taipei, Taiwan
| | - Wang-Huei Sheng
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Szu-Min Hsieh
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hsin-Yun Sun
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hsi-Yen Chang
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Mon-Ro Wu
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Wen-Chun Liu
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Pei-Ying Wu
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Shang-Ping Yang
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Jun-Yu Zhang
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Ching Su
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Zhen Luo
- Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Ching Hung
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
- China Medical University, Taichung, Taiwan
- * E-mail:
| | - Shan-Chwen Chang
- Department of internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
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Paganotti GM, Russo G, Sobze MS, Mayaka GB, Muthoga CW, Tawe L, Martinelli A, Romano R, Vullo V. CYP2B6 poor metaboliser alleles involved in efavirenz and nevirapine metabolism: CYP2B6*9 and CYP2B6*18 distribution in HIV-exposed subjects from Dschang, Western Cameroon. INFECTION GENETICS AND EVOLUTION 2015; 35:122-6. [PMID: 26247717 DOI: 10.1016/j.meegid.2015.08.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 07/30/2015] [Accepted: 08/03/2015] [Indexed: 01/11/2023]
Abstract
The prescription of patients' tailored anti-infectious treatments is the ultimate goal of pharmacogenetics/genomics applied to antimicrobial treatments, providing a basis for personalized medicine. Despite the efforts to screen Africans for alleles underlying defective metabolism for a panel of different drugs, still more research is necessary to clarify the interplay between host genetic variation and treatments' response. HIV is a major infectious disease in sub-Saharan African countries, and the main prescribed anti-HIV combination therapy includes efavirenz (EFV) or nevirapine (NVP). The two drugs are both mainly metabolised by cytochrome P450 2B6 liver enzyme (CYP2B6). Defective variants of CYP2B6 gene, leading to higher drug exposure with subsequent possible side effects and low compliance, are well known. However, little is known about CYP2B6 alleles in Cameroon where only one study was done on this subject. The main objective of the present work is to assess, in a subset of HIV-exposed subjects from Dschang in West Cameroon, the prevalence of two SNPs in the CYP2B6 gene: 516G>T (rs3745274) and 983T>C (rs28399499), both associated to a defective EFV and NVP metabolism. We analyzed 168 DNA samples collected during two cross-sectional surveys performed in Dschang, West Cameroon. In the population studied the observed allele frequencies of 516G>T and 983T>C were 44.35% (95%CI, 36.84-51.86%) and 12.80% (95%CI, 7.75-17.85%), respectively. Moreover, concerning the CYP2B6 expected phenotypes, 28.57% of the population showed a poor metaboliser phenotype, while 27.38% and 44.05% showed an extensive (wild-type) and an intermediate metaboliser phenotype, respectively. Here we found that an important fraction of the subjects is carrying EFV/NVP poor metaboliser alleles. Our findings could help to improve the knowledge about the previewed efficacy of anti-HIV drug therapy in Cameroon. Finally, we designed a new method of detection for the 983T>C genetic variation that can be applied in resource-limited laboratories.
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Affiliation(s)
- Giacomo Maria Paganotti
- University of Botswana-University of Pennsylvania Partnership, Gaborone, Botswana; Medical Education Partnership Initiative (MEPI) Laboratory, Gaborone, Botswana; Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Rome, Italy.
| | - Gianluca Russo
- Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Rome, Italy
| | - Martin Sanou Sobze
- Biomedical Sciences Department, Faculty of Sciences, University of Dschang, Dschang, Cameroon
| | | | - Charles Waithaka Muthoga
- University of Botswana-University of Pennsylvania Partnership, Gaborone, Botswana; Medical Education Partnership Initiative (MEPI) Laboratory, Gaborone, Botswana
| | - Leabaneng Tawe
- University of Botswana-University of Pennsylvania Partnership, Gaborone, Botswana; Medical Education Partnership Initiative (MEPI) Laboratory, Gaborone, Botswana
| | | | - Rita Romano
- Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Rome, Italy
| | - Vincenzo Vullo
- Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Rome, Italy
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Siccardi M, Olagunju A, Simiele M, D'Avolio A, Calcagno A, Di Perri G, Bonora S, Owen A. Class-specific relative genetic contribution for key antiretroviral drugs. J Antimicrob Chemother 2015. [PMID: 26221018 DOI: 10.1093/jac/dkv207] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES Antiretroviral pharmacokinetics is defined by numerous factors affecting absorption, distribution, metabolism and elimination. Biological processes underpinning drug distribution are only partially characterized and multiple genetic factors generate cumulative or antagonistic interactions, which complicates the implementation of pharmacogenetic markers. The aim of this study was to assess the degree to which heredity influences pharmacokinetics through the quantification of the relative genetic contribution (rGC) for key antiretrovirals. METHODS A total of 407 patients receiving lopinavir/ritonavir, atazanavir/ritonavir, atazanavir, efavirenz, nevirapine, etravirine, maraviroc, tenofovir or raltegravir were included. Intra-patient variability (SDw) and inter-patient (SDb) variability were measured in patients with plasma concentrations available from more than two visits. The rGC was calculated using the following equation: 1 - (1 / F) where F = SDb(2) / SDw(2). RESULTS Mean (95% CI) rGC was calculated to be 0.81 (0.72-0.88) for efavirenz, 0.74 (0.61-0.84) for nevirapine, 0.67 (0.49-0.78) for etravirine, 0.65 (0.41-0.79) for tenofovir, 0.59 (0.38-0.74) for atazanavir, 0.47 (0.27-0.60) for atazanavir/ritonavir, 0.36 (0.01-0.48) for maraviroc, 0.15 (0.01-0.44) for lopinavir/ritonavir and 0 (0-0.33) for raltegravir. CONCLUSIONS The rank order for genetic contribution to variability in plasma concentrations for the study drugs was efavirenz > nevirapine > etravirine > tenofovir > atazanavir > atazanavir/ritonavir > maraviroc > lopinavir/ritonavir > raltegravir, indicating that class-specific differences exist. The rGC strategy represents a useful tool to rationalize future investigations as drugs with higher rGC scores may represent better candidates for pharmacogenetic-pharmacokinetic studies.
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Affiliation(s)
- Marco Siccardi
- Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Adeniyi Olagunju
- Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria
| | - Marco Simiele
- Department of Infectious Diseases, University of Torino, Amedeo di Savoia Hospital, Torino, Italy
| | - Antonio D'Avolio
- Department of Infectious Diseases, University of Torino, Amedeo di Savoia Hospital, Torino, Italy
| | - Andrea Calcagno
- Department of Infectious Diseases, University of Torino, Amedeo di Savoia Hospital, Torino, Italy
| | - Giovanni Di Perri
- Department of Infectious Diseases, University of Torino, Amedeo di Savoia Hospital, Torino, Italy
| | - Stefano Bonora
- Department of Infectious Diseases, University of Torino, Amedeo di Savoia Hospital, Torino, Italy
| | - Andrew Owen
- Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
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Chhibber A, Kroetz DL, Tantisira KG, McGeachie M, Cheng C, Plenge R, Stahl E, Sadee W, Ritchie MD, Pendergrass SA. Genomic architecture of pharmacological efficacy and adverse events. Pharmacogenomics 2014; 15:2025-48. [PMID: 25521360 PMCID: PMC4308414 DOI: 10.2217/pgs.14.144] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The pharmacokinetic and pharmacodynamic disciplines address pharmacological traits, including efficacy and adverse events. Pharmacogenomics studies have identified pervasive genetic effects on treatment outcomes, resulting in the development of genetic biomarkers for optimization of drug therapy. Pharmacogenomics-based tests are already being applied in clinical decision making. However, despite substantial progress in identifying the genetic etiology of pharmacological response, current biomarker panels still largely rely on single gene tests with a large portion of the genetic effects remaining to be discovered. Future research must account for the combined effects of multiple genetic variants, incorporate pathway-based approaches, explore gene-gene interactions and nonprotein coding functional genetic variants, extend studies across ancestral populations, and prioritize laboratory characterization of molecular mechanisms. Because genetic factors can play a key role in drug response, accurate biomarker tests capturing the main genetic factors determining treatment outcomes have substantial potential for improving individual clinical care.
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Affiliation(s)
- Aparna Chhibber
- Department of Bioengineering & Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA,USA
| | - Deanna L Kroetz
- Department of Bioengineering & Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA,USA
| | - Kelan G Tantisira
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Michael McGeachie
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Cheng Cheng
- Department of Biostatistics, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Robert Plenge
- Division of Rheumatology, Immunology & Allergy, Division of Genetics, Brigham & Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Eli Stahl
- Department of Genetics & Genomic Sciences, Mount Sinai Hospital, New York, NY, USA
| | - Wolfgang Sadee
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Marylyn D Ritchie
- Department of Biochemistry & Molecular Biology, Center for Systems Genomics, Eberly College of Science, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16801, USA
| | - Sarah A Pendergrass
- Department of Biochemistry & Molecular Biology, Center for Systems Genomics, Eberly College of Science, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16801, USA
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Ozdemir V, Endrenyi L, Aynacıoğlu S, Bragazzi NL, Dandara C, Dove ES, Ferguson LR, Geraci CJ, Hafen E, Kesim BE, Kolker E, Lee EJD, Llerena A, Nacak M, Shimoda K, Someya T, Srivastava S, Tomlinson B, Vayena E, Warnich L, Yaşar U. Bernard Lerer: recipient of the 2014 inaugural Werner Kalow Responsible Innovation Prize in Global Omics and Personalized Medicine (Pacific Rim Association for Clinical Pharmacogenetics). OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2014; 18:211-21. [PMID: 24649998 DOI: 10.1089/omi.2014.0029] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
This article announces the recipient of the 2014 inaugural Werner Kalow Responsible Innovation Prize in Global Omics and Personalized Medicine by the Pacific Rim Association for Clinical Pharmacogenetics (PRACP): Bernard Lerer, professor of psychiatry and director of the Biological Psychiatry Laboratory, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. The Werner Kalow Responsible Innovation Prize is given to an exceptional interdisciplinary scholar who has made highly innovative and enduring contributions to global omics science and personalized medicine, with both vertical and horizontal (transdisciplinary) impacts. The prize is established in memory of a beloved colleague, mentor, and friend, the late Professor Werner Kalow, who cultivated the idea and practice of pharmacogenetics in modern therapeutics commencing in the 1950s. PRACP, the prize's sponsor, is one of the longest standing learned societies in the Asia-Pacific region, and was founded by Kalow and colleagues more than two decades ago in the then-emerging field of pharmacogenetics. In announcing this inaugural prize and its winner, we seek to highlight the works of prize winner, Professor Lerer. Additionally, we contextualize the significance of the prize by recalling the life and works of Professor Kalow and providing a brief socio-technical history of the rise of pharmacogenetics and personalized medicine as a veritable form of 21(st) century scientific practice. The article also fills a void in previous social science analyses of pharmacogenetics, by bringing to the fore the works of Kalow from 1995 to 2008, when he presciently noted the rise of yet another field of postgenomics inquiry--pharmacoepigenetics--that railed against genetic determinism and underscored the temporal and spatial plasticity of genetic components of drug response, with invention of the repeated drug administration (RDA) method that estimates the dynamic heritabilities of drug response. The prize goes a long way to cultivate transgenerational capacity and broader cognizance of the concept and practice of responsible innovation as an important criterion of 21(st) century omics science and personalized medicine. A new call is presently in place for the 2016 PRACP Werner Kalow prize. Nominations can be made in support of an exceptional individual interdisciplinary scholar, or alternatively, an entire research team, from any region in the world with a record of highly innovative contributions to global omics science and/or personalized medicine, in the spirit of responsible innovation. The application process is straightforward, requiring a signed, 1500-word nomination letter (by the applicant or sponsor) submitted not later than May 31, 2015.
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Affiliation(s)
- Vural Ozdemir
- 1 Pacific Rim Association for Clinical Pharmacogenetics, Associate Member Society of the International Union of Basic and Clinical Pharmacology
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