1
|
Ingelman-Sundberg M, Lauschke VM. Individualized Pharmacotherapy Utilizing Genetic Biomarkers and Novel In Vitro Systems As Predictive Tools for Optimal Drug Development and Treatment. Drug Metab Dispos 2024; 52:467-475. [PMID: 38575185 DOI: 10.1124/dmd.123.001302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/15/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
In the area of drug development and clinical pharmacotherapy, a profound understanding of the pharmacokinetics and potential adverse reactions associated with the drug under investigation is paramount. Essential to this endeavor is a comprehensive understanding about interindividual variations in absorption, distribution, metabolism, and excretion (ADME) genetics and the predictive capabilities of in vitro systems, shedding light on metabolite formation and the risk of adverse drug reactions (ADRs). Both the domains of pharmacogenomics and the advancement of in vitro systems are experiencing rapid expansion. Here we present an update on these burgeoning fields, providing an overview of their current status and illuminating potential future directions. SIGNIFICANCE STATEMENT: There is very rapid development in the area of pharmacogenomics and in vitro systems for predicting drug pharmacokinetics and risk for adverse drug reactions. We provide an update of the current status of pharmacogenomics and developed in vitro systems on these aspects aimed to achieve a better personalized pharmacotherapy.
Collapse
Affiliation(s)
- Magnus Ingelman-Sundberg
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (M.I.-S., V.M.L.); Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tübingen, Tübingen, Germany (V.M.L.)
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (M.I.-S., V.M.L.); Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tübingen, Tübingen, Germany (V.M.L.)
| |
Collapse
|
2
|
Zhou Y, Lauschke VM. Next-generation sequencing in pharmacogenomics - fit for clinical decision support? Expert Rev Clin Pharmacol 2024; 17:213-223. [PMID: 38247431 DOI: 10.1080/17512433.2024.2307418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION The technological advances of sequencing methods during the past 20 years have fuelled the generation of large amounts of sequencing data that comprise common variations, as well as millions of rare and personal variants that would not be identified by conventional genotyping. While comprehensive sequencing is technically feasible, its clinical utility for guiding personalized treatment decisions remains controversial. AREAS COVERED We discuss the opportunities and challenges of comprehensive sequencing compared to targeted genotyping for pharmacogenomic applications. Current pharmacogenomic sequencing panels are heterogeneous and clinical actionability of the included genes is not a major focus. We provide a current overview and critical discussion of how current studies utilize sequencing data either retrospectively from biobanks, databases or repurposed diagnostic sequencing, or prospectively using pharmacogenomic sequencing. EXPERT OPINION While sequencing-based pharmacogenomics has provided important insights into genetic variations underlying the safety and efficacy of a multitude pharmacological treatments, important hurdles for the clinical implementation of pharmacogenomic sequencing remain. We identify gaps in the interpretation of pharmacogenetic variants, technical challenges pertaining to complex loci and variant phasing, as well as unclear cost-effectiveness and incomplete reimbursement. It is critical to address these challenges in order to realize the promising prospects of pharmacogenomic sequencing.
Collapse
Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| |
Collapse
|
3
|
Lauschke VM, Zhou Y, Ingelman-Sundberg M. Pharmacogenomics Beyond Single Common Genetic Variants: The Way Forward. Annu Rev Pharmacol Toxicol 2024; 64:33-51. [PMID: 37506333 DOI: 10.1146/annurev-pharmtox-051921-091209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2023]
Abstract
Interindividual variability in genes encoding drug-metabolizing enzymes, transporters, receptors, and human leukocyte antigens has a major impact on a patient's response to drugs with regard to efficacy and safety. Enabled by both technological and conceptual advances, the field of pharmacogenomics is developing rapidly. Major progress in omics profiling methods has enabled novel genotypic and phenotypic characterization of patients and biobanks. These developments are paralleled by advances in machine learning, which have allowed us to parse the immense wealth of data and establish novel genetic markers and polygenic models for drug selection and dosing. Pharmacogenomics has recently become more widespread in clinical practice to personalize treatment and to develop new drugs tailored to specific patient populations. In this review, we provide an overview of the latest developments in the field and discuss the way forward, including how to address the missing heritability, develop novel polygenic models, and further improve the clinical implementation of pharmacogenomics.
Collapse
Affiliation(s)
- Volker M Lauschke
- Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden;
- Tübingen University, Tübingen, Germany
| | - Yitian Zhou
- Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden;
- Tübingen University, Tübingen, Germany
| | | |
Collapse
|
4
|
Taramasso L, Andreoni M, Antinori A, Bandera A, Bonfanti P, Bonora S, Borderi M, Castagna A, Cattelan AM, Celesia BM, Cicalini S, Cingolani A, Cossarizza A, D'Arminio Monforte A, D'Ettorre G, Di Biagio A, Di Giambenedetto S, Di Perri G, Esposito V, Focà E, Gervasoni C, Gori A, Gianotti N, Guaraldi G, Gulminetti R, Lo Caputo S, Madeddu G, Maggi P, Marandola G, Marchetti GC, Mastroianni CM, Mussini C, Perno CF, Rizzardini G, Rusconi S, Santoro M, Sarmati L, Zazzi M, Maggiolo F. Pillars of long-term antiretroviral therapy success. Pharmacol Res 2023; 196:106898. [PMID: 37648103 DOI: 10.1016/j.phrs.2023.106898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/26/2023] [Accepted: 08/27/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Meeting the challenge of antiretroviral therapy (ART) whose efficacy can last a lifetime requires continuous updating of the virological, pharmacological, and quality of life outcomes to be pursued and a continuous review of literature data on the efficacy and tolerability of new drugs and therapeutic strategies. METHODS With the aim of identifying open questions and answers about the current controversies in modern ART, we adapted the Design Thinking methodology to the needs of the design phase of a scientific article, involving a team of experts in HIV care. RESULTS Five main pillars of treatment success were discussed: sustained virologic suppression over time; immunological recovery; pharmacological attributes; long-term tolerability and safety of ART; and people's satisfaction and quality of life. The definition of the outcomes to be achieved in each thematic area and the tools to achieve them were reviewed and discussed. CONCLUSIONS Long-term treatment success should be intended as a combination of HIV-RNA suppression, immune recovery, and high quality of life. To achieve this, the regimen should be well-tolerated, with high potency, genetic barrier, and forgiveness, and should be tailored by a person-centered perspective, based on individual needs, preferences, and therapeutic history.
Collapse
Affiliation(s)
- Lucia Taramasso
- IRCCS Ospedale Policlinico San Martino di Genova, Genova, Italy.
| | | | - Andrea Antinori
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani IRCCS, Roma, Italy
| | - Alessandra Bandera
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Paolo Bonfanti
- Università degli Studi di Milano-Bicocca, Fondazione IRCCS San Gerardo dei Tintori - Monza, Monza, Italy
| | - Stefano Bonora
- Ospedale Amedeo di Savoia, Università degli Studi di Torino, Torino, Italy
| | - Marco Borderi
- Azienda Ospedaliero-Universitaria Policlinico S. Orsola-Malpighi, Bologna, Italy
| | | | | | | | - Stefania Cicalini
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani IRCCS, Roma, Italy
| | | | | | | | - Gabriella D'Ettorre
- Department of Public Health and Infectious Diseases AOU Policlinico Umberto I Sapienza, Rome, Italy
| | - Antonio Di Biagio
- Department of Health Sciences, Clinic of Infectious Diseases, University of Genoa, Genoa, Italy
| | | | - Giovanni Di Perri
- Ospedale Amedeo di Savoia, Università degli Studi di Torino, Torino, Italy
| | - Vincenzo Esposito
- UOC di Malattie infettive e Medicina di Genere P.O. Cotugno-A.O. dei Colli, Napoli, Italy
| | - Emanuele Focà
- Università degli Studi di Brescia e ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Andrea Gori
- Università degli Studi di Milano, Milano, Italy; ASST Fatebenefratelli Sacco, Ospedale Luigi Sacco, Milano, Italy
| | | | - Giovanni Guaraldi
- Azienda Ospedaliero-Universitaria Policlinico di Modena, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
| | | | | | - Giordano Madeddu
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
| | - Paolo Maggi
- Università degli Studi della Campania Luigi Vanvitelli, AORN S. Anna e S. Sebastiano Caserta, Caserta, Italy
| | | | - Giulia Carla Marchetti
- Department of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, Milan, Italy
| | | | - Cristina Mussini
- Azienda Ospedaliero-Universitaria Policlinico di Modena, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
| | | | | | - Stefano Rusconi
- Ospedale Civile di Legnano ASST Ovest Milanese - Università degli Studi di Milano, Legnano, Italy
| | - Maria Santoro
- Università degli Studi di Roma "Tor Vergata", Roma, Italy
| | | | | | | |
Collapse
|
5
|
Tremmel R, Pirmann S, Zhou Y, Lauschke VM. Translating pharmacogenomic sequencing data into drug response predictions-How to interpret variants of unknown significance. Br J Clin Pharmacol 2023. [PMID: 37759374 DOI: 10.1111/bcp.15915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023] Open
Abstract
The rapid development of sequencing technologies during the past 20 years has provided a variety of methods and tools to interrogate human genomic variations at the population level. Pharmacogenes are well known to be highly polymorphic and a plethora of pharmacogenomic variants has been identified in population sequencing data. However, so far only a small number of these variants have been functionally characterized regarding their impact on drug efficacy and toxicity and the significance of the vast majority remains unknown. It is therefore of high importance to develop tools and frameworks to accurately infer the effects of pharmacogenomic variants and, eventually, aggregate the effect of individual variations into personalized drug response predictions. To address this challenge, we here first describe the technological advances, including sequencing methods and accompanying bioinformatic processing pipelines that have enabled reliable variant identification. Subsequently, we highlight advances in computational algorithms for pharmacogenomic variant interpretation and discuss the added value of emerging strategies, such as machine learning and the integrative use of omics techniques that have the potential to further contribute to the refinement of personalized pharmacological response predictions. Lastly, we provide an overview of experimental and clinical approaches to validate in silico predictions. We conclude that the iterative feedback between computational predictions and experimental validations is likely to rapidly improve the accuracy of pharmacogenomic prediction models, which might soon allow for an incorporation of the entire pharmacogenetic profile into personalized response predictions.
Collapse
Affiliation(s)
- Roman Tremmel
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Sebastian Pirmann
- Computational Oncology Group, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
6
|
Brown K, Etrouth S, Jayachandran P, Moore J, Oni-Orisan A, Vasist L, Zheng S, Zhou Z, Dresser M. Diversity in Clinical Pharmacology: A Call to Action. Clin Pharmacol Ther 2023; 113:483-485. [PMID: 36710622 PMCID: PMC10024964 DOI: 10.1002/cpt.2852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 01/13/2023] [Indexed: 01/31/2023]
Abstract
Prioritization of diversity, equity, and inclusion in all facets of our work is long overdue for the clinical pharmacology community. Increasing diversity in clinical research will deepen our understanding of nuanced patient populations and help improve all patient outcomes. Fostering an inclusive and diverse workforce will lead to broader perspectives that can better inform critical decisions and create work environments where everyone can thrive. In this call to action, we invite you to join us.
Collapse
Affiliation(s)
- Karen Brown
- University of Montana, Missoula, Montana, USA
| | | | | | - Jason Moore
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | | | | | | | - Zhu Zhou
- York College, The City University of New York, Jamaica, New York, USA
| | - Mark Dresser
- University of California San Francisco, San Francisco, California, USA
- Gilead Sciences Inc, Foster City, California, USA
| |
Collapse
|
7
|
Biswas M, Jinda P, Sukasem C. Pharmacogenomics in Asians: Differences and similarities with other human populations. Expert Opin Drug Metab Toxicol 2023; 19:27-41. [PMID: 36755439 DOI: 10.1080/17425255.2023.2178895] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Various pharmacogenomic (PGx) variants differ widely in different ethnicities. and clinical outcomes associated with these variants may also be substantially varied. Literature was searched in different databases, i.e. PubMed, ScienceDirect, Web of Science, and PharmGKB, from inception to 30 June 2022 for this review. AREAS COVERED Certain PGx variants were distinctly varied in Asian populations compared to the other human populations, e.g. CYP2C19*2,*3,*17; CYP2C9*2,*3; CYP2D6*4,*5,*10,*41; UGT1A1*6,*28; HLA-B*15:02, HLA-B*15:21, HLA-B*58:01, and HLA-A*31:01. However, certain other variants do not vary greatly between Asian and other ethnicities, e.g. CYP3A5*3; ABCB1, and SLCO1B1*5. As evident in this review, the risk of major adverse cardiovascular events (MACE) was much stronger in Asian patients taking clopidogrel and who inherited the CYP2C19 loss-of-function alleles, e.g. CYP2C19*2 and*3, when compared to the western/Caucasian patients. Additionally, the risk of carbamazepine-induced severe cutaneous adverse drug reactions (SCARs) for the patients inheriting HLA-B*15:02 and HLA-B*15:21 alleles varied significantly between Asian and other ethnicities. In contrast, both Caucasian and Asian patients inheriting the SLCO1B1*5 variant possessed a similar magnitude of muscle toxicity, i.e. myopathy. EXPERT OPINION Asian countries should take measures toward expanding PGx research, as well as initiatives for the purposes of obtaining clinical benefits from this newly evolving and economically viable treatment model.
Collapse
Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, 6205, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Pimonpan Jinda
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 3GL, Liverpool, UK
| |
Collapse
|
8
|
Zhou Y, Lauschke VM. Challenges Related to the Use of Next-Generation Sequencing for the Optimization of Drug Therapy. Handb Exp Pharmacol 2023; 280:237-260. [PMID: 35792943 DOI: 10.1007/164_2022_596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Over the last decade, next-generation sequencing (NGS) methods have become increasingly used in various areas of human genomics. In routine clinical care, their use is already implemented in oncology to profile the mutational landscape of a tumor, as well as in rare disease diagnostics. However, its utilization in pharmacogenomics is largely lacking behind. Recent population-scale genome data has revealed that human pharmacogenes carry a plethora of rare genetic variations that are not interrogated by conventional array-based profiling methods and it is estimated that these variants could explain around 30% of the genetically encoded functional pharmacogenetic variability.To interpret the impact of such variants on drug response a multitude of computational tools have been developed, but, while there have been major advancements, it remains to be shown whether their accuracy is sufficient to improve personalized pharmacogenetic recommendations in robust trials. In addition, conventional short-read sequencing methods face difficulties in the interrogation of complex pharmacogenes and high NGS test costs require stringent evaluations of cost-effectiveness to decide about reimbursement by national healthcare programs. Here, we illustrate current challenges and discuss future directions toward the clinical implementation of NGS to inform genotype-guided decision-making.
Collapse
Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
- University of Tuebingen, Tuebingen, Germany.
| |
Collapse
|
9
|
Zhao FL, Zhang Q, Wang SH, Hong Y, Zhou S, Zhou Q, Geng PW, Luo QF, Yang JF, Chen H, Cai JP, Dai DP. Identification and drug metabolic characterization of four new CYP2C9 variants CYP2C9*72- *75 in the Chinese Han population. Front Pharmacol 2022; 13:1007268. [PMID: 36582532 PMCID: PMC9792615 DOI: 10.3389/fphar.2022.1007268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 12/01/2022] [Indexed: 12/15/2022] Open
Abstract
Cytochrome 2C9 (CYP2C9), one of the most important drug metabolic enzymes in the human hepatic P450 superfamily, is required for the metabolism of 15% of clinical drugs. Similar to other CYP2C family members, CYP2C9 gene has a high genetic polymorphism which can cause significant racial and inter-individual differences in drug metabolic activity. To better understand the genetic distribution pattern of CYP2C9 in the Chinese Han population, 931 individuals were recruited and used for the genotyping in this study. As a result, seven synonymous and 14 non-synonymous variations were identified, of which 4 missense variants were designated as new alleles CYP2C9*72, *73, *74 and *75, resulting in the amino acid substitutions of A149V, R150C, Q214H and N418T, respectively. When expressed in insect cell microsomes, all four variants exhibited comparable protein expression levels to that of the wild-type CYP2C9 enzyme. However, drug metabolic activity analysis revealed that these variants exhibited significantly decreased catalytic activities toward three CYP2C9 specific probe drugs, as compared with that of the wild-type enzyme. These data indicate that the amino acid substitution in newly designated variants can cause reduced function of the enzyme and its clinical significance still needs further investigation in the future.
Collapse
Affiliation(s)
- Fang-Ling Zhao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China,Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Qing Zhang
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuang-Hu Wang
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Yun Hong
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Shan Zhou
- Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Quan Zhou
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Pei-Wu Geng
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Qing-Feng Luo
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jie-Fu Yang
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hao Chen
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China,*Correspondence: Da-Peng Dai, ; Jian-Ping Cai, ; Hao Chen,
| | - Jian-Ping Cai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China,*Correspondence: Da-Peng Dai, ; Jian-Ping Cai, ; Hao Chen,
| | - Da-Peng Dai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China,Peking University Fifth School of Clinical Medicine, Beijing, China,*Correspondence: Da-Peng Dai, ; Jian-Ping Cai, ; Hao Chen,
| |
Collapse
|
10
|
Tafazoli A, van der Lee M, Swen JJ, Zeller A, Wawrusiewicz-Kurylonek N, Mei H, Vorderman RHP, Konopko K, Zankiewicz A, Miltyk W. Development of an extensive workflow for comprehensive clinical pharmacogenomic profiling: lessons from a pilot study on 100 whole exome sequencing data. THE PHARMACOGENOMICS JOURNAL 2022; 22:276-283. [PMID: 35963939 PMCID: PMC9674517 DOI: 10.1038/s41397-022-00286-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
This pilot study is aimed at implementing an approach for comprehensive clinical pharmacogenomics (PGx) profiling. Fifty patients with cardiovascular diseases and 50 healthy individuals underwent whole-exome sequencing. Data on 1800 PGx genes were extracted and analyzed through deep filtration separately. Theoretical drug induced phenoconversion was assessed for the patients, using sequence2script. In total, 4539 rare variants (including 115 damaging non-synonymous) were identified. Four publicly available PGx bioinformatics algorithms to assign PGx haplotypes were applied to nine selected very important pharmacogenes (VIP) and revealed a 45-70% concordance rate. To ensure availability of the results at point-of-care, actionable variants were stored in a web-hosted database and PGx-cards were developed for quick access and handed to the study subjects. While a comprehensive clinical PGx profile could be successfully extracted from WES data, available tools to interpret these data demonstrated inconsistencies that complicate clinical application.
Collapse
Affiliation(s)
- Alireza Tafazoli
- Department of Analysis and Bioanalysis of Medicines, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of Bialystok, 15-089, Bialystok, Poland
- Clinical Research Centre, University Hospital of Bialystok, 15-276, Bialystok, Poland
| | - Maaike van der Lee
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Anna Zeller
- Clinical Research Centre, University Hospital of Bialystok, 15-276, Bialystok, Poland
| | | | - Hailiang Mei
- Sequencing Analysis Support Core, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Ruben H P Vorderman
- Sequencing Analysis Support Core, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Krzysztof Konopko
- Department of Photonics, Electronics, and Lighting Technology, Faculty of Electrical Engineering, Bialystok University of Technology, 15-351, Bialystok, Poland
| | - Andrzej Zankiewicz
- Department of Photonics, Electronics, and Lighting Technology, Faculty of Electrical Engineering, Bialystok University of Technology, 15-351, Bialystok, Poland
| | - Wojciech Miltyk
- Department of Analysis and Bioanalysis of Medicines, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of Bialystok, 15-089, Bialystok, Poland.
| |
Collapse
|