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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.
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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.)
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2
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Li Y, Chang Y, Yan Y, Ma X, Zhou W, Zhang H, Guo J, Wei J, Jin T. Very important pharmacogenetic variants landscape and potential clinical relevance in the Zhuang population from Yunnan province. Sci Rep 2024; 14:7495. [PMID: 38553524 PMCID: PMC10980727 DOI: 10.1038/s41598-024-58092-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
The gradual evolution of pharmacogenomics has shed light on the genetic basis for inter-individual drug response variations across diverse populations. This study aimed to identify pharmacogenomic variants that differ in Zhuang population compared with other populations and investigate their potential clinical relevance in gene-drug and genotypic-phenotypic associations. A total of 48 variants from 24 genes were genotyped in 200 Zhuang subjects using the Agena MassARRAY platform. The allele frequencies and genotype distribution data of 26 populations were obtained from the 1000 Genomes Project, followed by a comparison and statistical analysis. After Bonferroni correction, significant differences in genotype frequencies were observed of CYP3A5 (rs776746), ACE (rs4291), KCNH2 (rs1805123), and CYP2D6 (rs1065852) between the Zhuang population and the other 26 populations. It was also found that the Chinese Dai in Xishuangbanna, China, Han Chinese in Beijing, China, and Southern Han Chinese, China showed least deviation from the Zhuang population. The Esan in Nigeria, Gambian in Western Division, The Gambia, and Yoruba in Ibadan, Nigeria exhibited the largest differences. This was also proved by structural analysis, Fst analysis and phylogenetic tree. Furthermore, these differential variants may be associated with the pharmacological efficacy and toxicity of Captopril, Amlodipine, Lisinopril, metoclopramide, and alpha-hydroxymetoprolol in the Zhuang population. Our study has filled the gap of pharmacogenomic information in the Zhuang population and has provided a theoretical framework for the secure administration of drugs in the Zhuang population.
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Affiliation(s)
- Yujie Li
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Yanting Chang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Yan Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Xiaoya Ma
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Wenqian Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Huan Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jinping Guo
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jie Wei
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710127, China.
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China.
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3
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Sommer J, Wozniak J, Schmitt J, Koch J, Stingl JC, Just KS. Assessment of Substrate Status of Drugs Metabolized by Polymorphic Cytochrome P450 (CYP) 2 Enzymes: An Analysis of a Large-Scale Dataset. Biomedicines 2024; 12:161. [PMID: 38255266 PMCID: PMC10813138 DOI: 10.3390/biomedicines12010161] [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: 11/23/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The analysis of substrates of polymorphic cytochrome P450 (CYP) enzymes is important information to enable drug-drug interactions (DDIs) analysis and the relevance of pharmacogenetics in this context in large datasets. Our aim was to compare different approaches to assess the substrate properties of drugs for certain polymorphic CYP2 enzymes. METHODS A standardized manual method and an automatic method were developed and compared to assess the substrate properties for the metabolism of drugs by CYP2D6, 2C9, and 2C19. The automatic method used a matching approach to three freely available resources. We applied the manual and automatic methods to a large real-world dataset deriving from a prospective multicenter study collecting adverse drug reactions in emergency departments in Germany (ADRED). RESULTS In total, 23,878 medication entries relating to 895 different drugs were analyzed in the real-world dataset. The manual method was able to assess 12.2% (n = 109) of drugs, and the automatic method between 12.1% (n = 109) and 88.9% (n = 796), depending on the resource used. The CYP substrate classifications demonstrated moderate to almost perfect agreements for CYP2D6 and CYP2C19 (Cohen's Kappa (κ) 0.48-0.90) and fair to moderate agreements for CYP2C9 (κ 0.20-0.48). CONCLUSION A closer look at different classifications between methods revealed that both methods are prone to error in different ways. While the automated method excels in time efficiency, completeness, and actuality, the manual method might be better able to identify CYP2 substrates with clinical relevance.
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Affiliation(s)
- Jakob Sommer
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Justyna Wozniak
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
| | - Judith Schmitt
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
| | - Jana Koch
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
| | - Julia C. Stingl
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
| | - Katja S. Just
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, 52074 Aachen, Germany; (J.S.); (J.W.); (J.K.); (J.C.S.)
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4
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Shim SR, Lee Y, In SM, Lee KI, Kim I, Jeong H, Shin J, Kim JY. Increased risk of hearing loss associated with macrolide use: a systematic review and meta-analysis. Sci Rep 2024; 14:183. [PMID: 38167873 PMCID: PMC10762137 DOI: 10.1038/s41598-023-50774-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/25/2023] [Indexed: 01/05/2024] Open
Abstract
The increased risk of hearing loss with macrolides remains controversial. We aimed to systematically review and meta-analyze data on the clinical risk of hearing loss, tinnitus, and ototoxicity following macrolide use. A systematic search was conducted across PubMed, MEDLINE, Cochrane, and Embase databases from database inception to May 2023. Medical Subject Heading (MeSH) terms and text keywords were utilized, without any language restrictions. In addition to the electronic databases, two authors manually and independently searched for relevant studies in the US and European clinical trial registries and Google Scholar. Studies that involved (1) patients who had hearing loss, tinnitus, or ototoxicity after macrolide use, (2) intervention of use of macrolides such as azithromycin, clarithromycin, erythromycin, fidaxomicin, roxithromycin, spiramycin, and/or telithromycin, (3) comparisons with specified placebos or other antibiotics, (4) outcomes measured as odds ratio (OR), relative risk (RR), hazard ratio (HR), and mean difference for ototoxicity symptoms using randomized control trial (RCT)s and observational studies (case-control, cross-section, and cohort studies) were included. Data extraction was performed independently by two extractors, and a crosscheck was performed to identify any errors. ORs along with their corresponding 95% confidence intervals (CIs) were estimated using random-effects models. The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guidelines for RCTs and Meta-Analysis of Observational Studies in Epidemiology guidelines for observational studies were followed. We assessed the hearing loss risk after macrolide use versus controls (placebos and other antibiotics). Based on data from 13 studies including 1,142,021 patients (n = 267,546 for macrolide and n = 875,089 for controls), the overall pooled OR was 1.25 (95% CI 1.07-1.47). In subgroup analysis by study design, the ORs were 1.37 (95% CI 1.08-1.73) for RCTs and 1.33 (95% CI 1.24-1.43) for case-control studies, indicating that RCT and case-control study designs showed a statistically significant higher risk of hearing loss. The group with underlying diseases such as multiple infectious etiologies (OR, 1.16 [95% CI 0.96-1.41]) had a statistically significant lower risk than the group without (OR, 1.53 [95% CI 1.38-1.70] P = .013). The findings from this systematic review and meta-analysis suggest that macrolide antibiotics increase the risk of hearing loss and that healthcare professionals should carefully consider this factor while prescribing macrolides.
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Affiliation(s)
- Sung Ryul Shim
- Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea
- Konyang Medical data Research group-KYMERA, Konyang University Hospital, Daejeon, Republic of Korea
| | - YungJin Lee
- Konyang Medical data Research group-KYMERA, Konyang University Hospital, Daejeon, Republic of Korea
- Department of Rehabilitation Medicine, College of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Seung Min In
- Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Ki-Il Lee
- Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Ikhee Kim
- Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Hyoyeon Jeong
- Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Jieun Shin
- Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.
- Konyang Medical data Research group-KYMERA, Konyang University Hospital, Daejeon, Republic of Korea.
| | - Jong-Yeup Kim
- Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.
- Konyang Medical data Research group-KYMERA, Konyang University Hospital, Daejeon, Republic of Korea.
- Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Konyang University, Daejeon, Republic of Korea.
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Bellanca CM, Augello E, Cantone AF, Di Mauro R, Attaguile GA, Di Giovanni V, Condorelli GA, Di Benedetto G, Cantarella G, Bernardini R. Insight into Risk Factors, Pharmacogenetics/Genomics, and Management of Adverse Drug Reactions in Elderly: A Narrative Review. Pharmaceuticals (Basel) 2023; 16:1542. [PMID: 38004408 PMCID: PMC10674329 DOI: 10.3390/ph16111542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
The European Medicine Agency (EMA) has defined Adverse Drug Reactions (ADRs) as "a noxious and unintended response to a medicine", not including poisoning, accidental, or intentional overdoses. The ADR occurrence differs based on the approach adopted for defining and detecting them, the characteristics of the population under study, and the research setting. ADRs have a significant impact on morbidity and mortality, particularly among older adults, and represent a financial burden for health services. Between 30% and 60% of ADRs might be predictable and preventable, emerging as a result of inappropriate prescription, drug chemistry inherent toxicity, cell-specific drug toxicity, age- and sex-related anomalies in drug absorption, distribution, metabolism, and elimination (ADME), and drug-drug interactions (DDIs) in combination therapies or when a patient is treated with different drugs for concomitant disorders. This is particularly important in chronic diseases which require long-term treatments. Rapid developments in pharmacogenetics/genomics have improved the understanding of ADRs accompanied by more accurate prescriptions and reduction in unnecessary costs. To alleviate the burden of ADRs, especially in the elderly, interventions focused on pharmaceutical principles, such as medication review and reconciliation, should be integrated into a broader assessment of patients' characteristics, needs, and health priorities. Digital health interventions could offer valuable solutions to assist healthcare professionals in identifying inappropriate prescriptions and promoting patient adherence to pharmacotherapies.
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Affiliation(s)
- Carlo Maria Bellanca
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
- Clinical Toxicology Unit, University Hospital of Catania, 95123 Catania, Italy
| | - Egle Augello
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
- Clinical Toxicology Unit, University Hospital of Catania, 95123 Catania, Italy
| | - Anna Flavia Cantone
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
| | - Rosaria Di Mauro
- Dipartimento del Farmaco, ASP Trapani, 91100 Trapani, Italy; (R.D.M.); (V.D.G.)
| | - Giuseppe Antonino Attaguile
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
| | | | - Guido Attilio Condorelli
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
| | - Giulia Di Benedetto
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
- Clinical Toxicology Unit, University Hospital of Catania, 95123 Catania, Italy
| | - Giuseppina Cantarella
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
| | - Renato Bernardini
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; (C.M.B.); (E.A.); (A.F.C.); (G.A.A.); (G.A.C.); (G.C.); (R.B.)
- Clinical Toxicology Unit, University Hospital of Catania, 95123 Catania, Italy
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Nasibullin I, Yoshioka H, Mukaimine A, Nakamura A, Kusakari Y, Chang TC, Tanaka K. Catalytic olefin metathesis in blood. Chem Sci 2023; 14:11033-11039. [PMID: 37860663 PMCID: PMC10583672 DOI: 10.1039/d3sc03785a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 09/05/2023] [Indexed: 10/21/2023] Open
Abstract
The direct synthesis of drugs in vivo enables drugs to treat diseases without causing side effects in healthy tissues. Transition-metal reactions have been widely explored for uncaging and synthesizing bioactive drugs in biological environments because of their remarkable reactivity. Nonetheless, it is difficult to develop a promising method to achieve in vivo drug synthesis because blood cells and metabolites deactivate transition-metal catalysts. We report that a robust albumin-based artificial metalloenzyme (ArM) with a low loading (1-5 mol%) can promote Ru-based olefin metathesis to synthesize molecular scaffolds and an antitumor drug in blood. The ArM retained its activity after soaking in blood for 24 h and provided the first example of catalytic olefin cross metathesis in blood. Furthermore, the cyclic-Arg-Gly-Asp (cRGD) peptide-functionalized ArM at lower dosages could still efficiently perform in vivo drug synthesis to inhibit the growth of implanted tumors in mice. Such a system can potentially construct therapeutic drugs in vivo for therapies without side effects.
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Affiliation(s)
- Igor Nasibullin
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Hiromasa Yoshioka
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Akari Mukaimine
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Akiko Nakamura
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Yuriko Kusakari
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Tsung-Che Chang
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
| | - Katsunori Tanaka
- Biofunctional Synthetic Chemistry Laboratory, Cluster for Pioneering Research RIKEN Wako-shi Saitama 351-0198 Japan
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology Meguro-ku Tokyo 152-8552 Japan
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Martínez-Iglesias O, Naidoo V, Carrera I, Carril JC, Cacabelos N, Cacabelos R. Influence of Metabolic, Transporter, and Pathogenic Genes on Pharmacogenetics and DNA Methylation in Neurological Disorders. BIOLOGY 2023; 12:1156. [PMID: 37759556 PMCID: PMC10525670 DOI: 10.3390/biology12091156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 09/29/2023]
Abstract
Pharmacogenetics and DNA methylation influence therapeutic outcomes and provide insights into potential therapeutic targets for brain-related disorders. To understand the effect of genetic polymorphisms on drug response and disease risk, we analyzed the relationship between global DNA methylation, drug-metabolizing enzymes, transport genes, and pathogenic gene phenotypes in serum samples from two groups of patients: Group A, which showed increased 5-methylcytosine (5mC) levels during clinical follow-up, and Group B, which exhibited no discernible change in 5mC levels. We identified specific SNPs in several metabolizing genes, including CYP1A2, CYP2C9, CYP4F2, GSTP1, and NAT2, that were associated with differential drug responses. Specific SNPs in CYP had a significant impact on enzyme activity, leading to changes in phenotypic distribution between the two patient groups. Group B, which contained a lower frequency of normal metabolizers and a higher frequency of ultra-rapid metabolizers compared to patients in Group A, did not show an improvement in 5mC levels during follow-up. Furthermore, there were significant differences in phenotype distribution between patient Groups A and B for several SNPs associated with transporter genes (ABCB1, ABCC2, SLC2A9, SLC39A8, and SLCO1B1) and pathogenic genes (APOE, NBEA, and PTGS2). These findings appear to suggest that the interplay between pharmacogenomics and DNA methylation has important implications for improving treatment outcomes in patients with brain-related disorders.
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Affiliation(s)
- Olaia Martínez-Iglesias
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, 15165 Bergondo, Corunna, Spain; (V.N.); (I.C.); (J.C.C.); (N.C.); (R.C.)
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Lee SK, Choi JY, Jung ES, Kwon JH, Jang JW, Bae SH, Yoon SK. An Immunological Perspective on the Mechanism of Drug Induced Liver Injury: Focused on Drugs for Treatment of Hepatocellular Carcinoma and Liver Transplantation. Int J Mol Sci 2023; 24:ijms24055002. [PMID: 36902432 PMCID: PMC10003078 DOI: 10.3390/ijms24055002] [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: 02/16/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023] Open
Abstract
The liver is frequently exposed to potentially toxic materials, and it is the primary site of clearance of foreign agents, along with many innate and adaptive immune cells. Subsequently, drug induced liver injury (DILI), which is caused by medications, herbs, and dietary supplements, often occurs and has become an important issue in liver diseases. Reactive metabolites or drug-protein complexes induce DILI via the activation of various innate and adaptive immune cells. There has been a revolutionary development of treatment drugs for hepatocellular carcinoma (HCC) and liver transplantation (LT), including immune checkpoint inhibitors (ICIs), that show high efficacy in patients with advanced HCC. Along with the high efficacy of novel drugs, DILI has become a pivotal issue in the use of new drugs, including ICIs. This review demonstrates the immunological mechanism of DILI, including the innate and adaptive immune systems. Moreover, it aims to provide drug treatment targets, describe the mechanisms of DILI, and detail the management of DILI caused by drugs for HCC and LT.
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Affiliation(s)
- Soon Kyu Lee
- Division of Hepatology, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jong Young Choi
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Correspondence:
| | - Eun Sun Jung
- Department of Pathology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jung Hyun Kwon
- Division of Hepatology, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jeong Won Jang
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Si Hyun Bae
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Hepatology, Department of Internal Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Seung Kew Yoon
- The Catholic University Liver Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
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Li MY, Peng LM, Chen XP. Pharmacogenomics in drug-induced cardiotoxicity: Current status and the future. Front Cardiovasc Med 2022; 9:966261. [PMID: 36312261 PMCID: PMC9606405 DOI: 10.3389/fcvm.2022.966261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/05/2022] [Indexed: 11/15/2022] Open
Abstract
Drug-induced cardiotoxicity (DICT) is an important concern of drug safety in both drug development and clinical application. The clinical manifestations of DICT include cardiomyopathy, arrhythmia, myocardial ischemia, heart failure, and a series of cardiac structural and functional changes. The occurrence of DICT has negative impacts on the life quality of the patients, brings additional social and economic burden. It is important to identify the potential factors and explore the mechanisms of DICT. Traditional cardiovascular risk factors can only partially explain the risk of DICT. Pharmacogenomic studies show accumulated evidence of genetics in DICT and suggest the potential to guide precision therapy to reduce risk of cardiotoxicity. The comprehensive application of technologies such as third-generation sequencing, human induced pluripotent stem (iPS) cells and genome editing has promoted the in-depth understanding of the functional role of susceptible genes in DICT. This paper reviewed drugs that cause DICT, the clinical manifestations and laboratory tests, as well as the related content of genetic variations associated with the risk of DICT, and further discussed the implication of new technologies in pharmacogenomics of DICT.
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Affiliation(s)
- Mo-Yun Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, China
| | - Li-Ming Peng
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, China,Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China,*Correspondence: Li-Ming Peng
| | - Xiao-Ping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Xiao-Ping Chen
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10
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Wolf U, Baust H, Neef R, Steinke T. Individual Pharmacotherapy Management (IPM)—IV: Optimized Usage of Approved Antimicrobials Addressing Under-Recognized Adverse Drug Reactions and Drug-Drug Interactions in Polypharmacy. Antibiotics (Basel) 2022; 11:antibiotics11101381. [PMID: 36290039 PMCID: PMC9599027 DOI: 10.3390/antibiotics11101381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/24/2022] [Accepted: 10/05/2022] [Indexed: 11/28/2022] Open
Abstract
Antimicrobial therapy is often a life-saving medical intervention for inpatients and outpatients. Almost all medical disciplines are involved in this therapeutic procedure. Knowledge of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) is important to avoid drug-related harm. Within the broad spectrum of antibiotic and antifungal therapy, most typical ADRs are known to physicians. The aim of this study was to evaluate relevant pharmacological aspects with which we are not so familiar and to provide further practical guidance. Individual pharmacotherapy management (IPM) as a synopsis of internal medicine and clinical pharmacology based on the entirety of the digital patient information with reference to drug information, guidelines, and literature research has been continuously performed for over 8 years in interdisciplinary intensive care and trauma and transplant patients. Findings from over 52,000 detailed medication analyses highlight critical ADRs and DDIs, especially in these vulnerable patients with polypharmacy. We present the most relevant ADRs and DDIs in antibiotic and antifungal pharmacology, which are less frequently considered in relation to neurologic, hemostaseologic, hematologic, endocrinologic, and cardiac complexities. Constant awareness and preventive strategies help avoid life-threatening manifestations of these inherent risks and ensure patient and drug safety in antimicrobial therapy.
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Affiliation(s)
- Ursula Wolf
- Pharmacotherapy Management, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
- Correspondence:
| | - Henning Baust
- University Clinic for Anesthesiology and Operative Intensive Care Medicine, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Rüdiger Neef
- Department of Orthopedics, Trauma and Reconstructive Surgery, Division of Geriatric Traumatology, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Thomas Steinke
- University Clinic for Anesthesiology and Operative Intensive Care Medicine, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
- Clinic for Anesthesiology, Intensive Care Medicine and Pain Therapy, Carl-von-Basedow-Klinikum Saalekreis, 06127 Merseburg, Germany
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11
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Daly AK. Pharmacogenetics of the cytochromes P450: Selected pharmacological and toxicological aspects. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2022; 95:49-72. [PMID: 35953163 DOI: 10.1016/bs.apha.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With the availability of detailed genomic data on all 57 human cytochrome P450 genes, it is clear that there is substantial variability in gene product activity with functionally significant polymorphisms reported across almost all isoforms. This article is concerned mainly with 13 P450 isoforms of particular relevance to xenobiotic metabolism. After brief review of the extent of polymorphism in each, the relevance of selected P450 isoforms to both adverse drug reaction and disease susceptibility is considered in detail. Bleeding due to warfarin and other coumarin anticoagulants is considered as an example of a type A reaction with idiosyncratic adverse drug reactions affecting the liver and skin as type B. It is clear that CYP2C9 variants contribute significantly to warfarin dose requirement and also risk of bleeding, with a minor contribution from CYP4F2. In the case of idiosyncratic adverse drug reactions, CYP2B6 variants appear relevant to both liver and skin reactions to several drugs with CYP2C9 variants also relevant to phenytoin-related skin rash. The relevance of P450 genotype to disease susceptibility is also considered but detailed genetic studies now suggest that CYP2A6 is the only P450 relevant to risk of lung cancer with alleles associated with low or absent activity clearly protective against disease. Other cytochrome P450 genotypes are generally not predictors for risk of cancer or other complex disease development.
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Affiliation(s)
- Ann K Daly
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
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12
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Tunwongsa K, Chonnawakul M, Geratikornsupuk N, Tewthanom K. Genetic screening to avoid adverse drug reactions from medication use and approach patients' better outcomes: A lesson learn from the report of the Queen Savang Vadhana Memorial Hospital. Health Sci Rep 2022; 5:e591. [PMID: 35509409 PMCID: PMC9059221 DOI: 10.1002/hsr2.591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 11/29/2022] Open
Abstract
Background and Aims The polymerase chain reaction (PCR) technique is adopted for pharmacogenetic testing and adverse drug reaction (ADR) analysis. Methods: PCR was used for testing of pharmacogenetic markers for HLA and non‐HLA polymorphism related to specific drugs. Results Among 76 cases that underwent genetic screening, 7.7%, 11.1%, and 2.7% of the patients were found to be genetically positive for allopurinol, carbamazepine, and abacavir, respectively. Two cases were genetically positive for interferon, and two cases of extensive metabolizers were positive for clopidogrel. One case of a NAT2 slow acetylator for isoniazid was found. Among the 74 cases with complete outcomes, 39.2% showed improvements and 18.9% reported a deterioration. Although no serious ADR was observed, two HLA‐B*5701‐negative cases reported ADRs (2.7%). All patients positive for IL28B were improved. One patient receiving clopidogrel showed improvements, but another showed deterioration. Finally, the outcome of slow acetylation NAT2 was worse without ADR. Conclusion PCR‐based pharmacogenetic testing is critical for ADR monitoring in a cost‐effective manner.
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Affiliation(s)
- Kessada Tunwongsa
- Department of Pharmacy Queen Savang Vadhana Memorial Hospital Chonburi Thailand
| | - Malinee Chonnawakul
- Department of Pharmacy Queen Savang Vadhana Memorial Hospital Chonburi Thailand
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13
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Tan H, Reed S. Metabolovigilance: Associating Drug Metabolites with Adverse Drug Reactions. Mol Inform 2022; 41:e2100261. [PMID: 34994061 DOI: 10.1002/minf.202100261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 01/03/2022] [Indexed: 11/05/2022]
Abstract
The Metabolovigilance database (https://pharmacogenomics.clas.ucdenver.edu/pharmacogenomics/side-effect/) is a single repository of information on over 15,920 pharmaceuticals and the compounds expected to result from metabolism of these drugs. Metabolovigilance functions as both a web server, providing data directly to users and as a web application, applying user inputs to create logic statements that curate the data presented or downloaded. Using this tool, it is easy to collect information on drugs, their side effects, and the metabolites associated with specific side effects. Information on these compounds can be sorted based on physical properties of the drugs and their metabolites. All of this information can be viewed, sorted, and downloaded for use in other applications. This open-access tool will facilitate molecular studies on the causes of adverse drug reactions and is well suited to integrate with genomic data furthering the goals of personalized medicine.
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Affiliation(s)
- Henry Tan
- University of Colorado Denver, UNITED STATES
| | - Scott Reed
- University of Colorado Denver, UNITED STATES
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14
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Cacabelos R, Naidoo V, Martínez-Iglesias O, Corzo L, Cacabelos N, Pego R, Carril JC. Pharmacogenomics of Alzheimer's Disease: Novel Strategies for Drug Utilization and Development. Methods Mol Biol 2022; 2547:275-387. [PMID: 36068470 DOI: 10.1007/978-1-0716-2573-6_13] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Alzheimer's disease (AD) is a priority health problem in developed countries with a high cost to society. Approximately 20% of direct costs are associated with pharmacological treatment. Over 90% of patients require multifactorial treatments, with risk of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) for the treatment of concomitant diseases such as hypertension (>25%), obesity (>70%), diabetes mellitus type 2 (>25%), hypercholesterolemia (40%), hypertriglyceridemia (20%), metabolic syndrome (20%), hepatobiliary disorder (15%), endocrine/metabolic disorders (>20%), cardiovascular disorder (40%), cerebrovascular disorder (60-90%), neuropsychiatric disorders (60-90%), and cancer (10%).For the past decades, pharmacological studies in search of potential treatments for AD focused on the following categories: neurotransmitter enhancers (11.38%), multitarget drugs (2.45%), anti-amyloid agents (13.30%), anti-tau agents (2.03%), natural products and derivatives (25.58%), novel synthetic drugs (8.13%), novel targets (5.66%), repository drugs (11.77%), anti-inflammatory drugs (1.20%), neuroprotective peptides (1.25%), stem cell therapy (1.85%), nanocarriers/nanotherapeutics (1.52%), and other compounds (<1%).Pharmacogenetic studies have shown that the therapeutic response to drugs in AD is genotype-specific in close association with the gene clusters that constitute the pharmacogenetic machinery (pathogenic, mechanistic, metabolic, transporter, pleiotropic genes) under the regulatory control of epigenetic mechanisms (DNA methylation, histone/chromatin remodeling, microRNA regulation). Most AD patients (>60%) are carriers of over ten pathogenic genes. The genes that most frequently (>50%) accumulate pathogenic variants in the same AD case are A2M (54.38%), ACE (78.94%), BIN1 (57.89%), CLU (63.15%), CPZ (63.15%), LHFPL6 (52.63%), MS4A4E (50.87%), MS4A6A (63.15%), PICALM (54.38%), PRNP (80.7059), and PSEN1 (77.19%). There is also an accumulation of 15 to 26 defective pharmagenes in approximately 85% of AD patients. About 50% of AD patients are carriers of at least 20 mutant pharmagenes, and over 80% are deficient metabolizers for the most common drugs, which are metabolized via the CYP2D6, CYP2C9, CYP2C19, and CYP3A4/5 enzymes.The implementation of pharmacogenetics can help optimize drug development and the limited therapeutic resources available to treat AD, and personalize the use of anti-dementia drugs in combination with other medications for the treatment of concomitant disorders.
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Affiliation(s)
- Ramón Cacabelos
- Department of Genomic Medicine, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain.
| | - Vinogran Naidoo
- Department of Neuroscience, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
| | - Olaia Martínez-Iglesias
- Department of Medical Epigenetics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
| | - Lola Corzo
- Department of Medical Biochemistry, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
| | - Natalia Cacabelos
- Department of Medical Documentation, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
| | - Rocío Pego
- Department of Neuropsychology, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
| | - Juan C Carril
- Department of Genomics and Pharmacogenomics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
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15
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Cacabelos R, Naidoo V, Corzo L, Cacabelos N, Carril JC. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions. Int J Mol Sci 2021; 22:ijms222413302. [PMID: 34948113 PMCID: PMC8704264 DOI: 10.3390/ijms222413302] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 02/06/2023] Open
Abstract
Adverse drug reactions (ADRs) rank as one of the top 10 leading causes of death and illness in developed countries. ADRs show differential features depending upon genotype, age, sex, race, pathology, drug category, route of administration, and drug–drug interactions. Pharmacogenomics (PGx) provides the physician effective clues for optimizing drug efficacy and safety in major problems of health such as cardiovascular disease and associated disorders, cancer and brain disorders. Important aspects to be considered are also the impact of immunopharmacogenomics in cutaneous ADRs as well as the influence of genomic factors associated with COVID-19 and vaccination strategies. Major limitations for the routine use of PGx procedures for ADRs prevention are the lack of education and training in physicians and pharmacists, poor characterization of drug-related PGx, unspecific biomarkers of drug efficacy and toxicity, cost-effectiveness, administrative problems in health organizations, and insufficient regulation for the generalized use of PGx in the clinical setting. The implementation of PGx requires: (i) education of physicians and all other parties involved in the use and benefits of PGx; (ii) prospective studies to demonstrate the benefits of PGx genotyping; (iii) standardization of PGx procedures and development of clinical guidelines; (iv) NGS and microarrays to cover genes with high PGx potential; and (v) new regulations for PGx-related drug development and PGx drug labelling.
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Affiliation(s)
- Ramón Cacabelos
- Department of Genomic Medicine, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain
- Correspondence: ; Tel.: +34-981-780-505
| | - Vinogran Naidoo
- Department of Neuroscience, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Lola Corzo
- Department of Medical Biochemistry, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Natalia Cacabelos
- Department of Medical Documentation, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Juan C. Carril
- Departments of Genomics and Pharmacogenomics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
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16
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Kell DB. The Transporter-Mediated Cellular Uptake and Efflux of Pharmaceutical Drugs and Biotechnology Products: How and Why Phospholipid Bilayer Transport Is Negligible in Real Biomembranes. Molecules 2021; 26:5629. [PMID: 34577099 PMCID: PMC8470029 DOI: 10.3390/molecules26185629] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/03/2021] [Accepted: 09/14/2021] [Indexed: 12/12/2022] Open
Abstract
Over the years, my colleagues and I have come to realise that the likelihood of pharmaceutical drugs being able to diffuse through whatever unhindered phospholipid bilayer may exist in intact biological membranes in vivo is vanishingly low. This is because (i) most real biomembranes are mostly protein, not lipid, (ii) unlike purely lipid bilayers that can form transient aqueous channels, the high concentrations of proteins serve to stop such activity, (iii) natural evolution long ago selected against transport methods that just let any undesirable products enter a cell, (iv) transporters have now been identified for all kinds of molecules (even water) that were once thought not to require them, (v) many experiments show a massive variation in the uptake of drugs between different cells, tissues, and organisms, that cannot be explained if lipid bilayer transport is significant or if efflux were the only differentiator, and (vi) many experiments that manipulate the expression level of individual transporters as an independent variable demonstrate their role in drug and nutrient uptake (including in cytotoxicity or adverse drug reactions). This makes such transporters valuable both as a means of targeting drugs (not least anti-infectives) to selected cells or tissues and also as drug targets. The same considerations apply to the exploitation of substrate uptake and product efflux transporters in biotechnology. We are also beginning to recognise that transporters are more promiscuous, and antiporter activity is much more widespread, than had been realised, and that such processes are adaptive (i.e., were selected by natural evolution). The purpose of the present review is to summarise the above, and to rehearse and update readers on recent developments. These developments lead us to retain and indeed to strengthen our contention that for transmembrane pharmaceutical drug transport "phospholipid bilayer transport is negligible".
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Affiliation(s)
- Douglas B. Kell
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown St, Liverpool L69 7ZB, UK;
- Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs Lyngby, Denmark
- Mellizyme Biotechnology Ltd., IC1, Liverpool Science Park, Mount Pleasant, Liverpool L3 5TF, UK
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17
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Naujokaitis D, Asmoniene V, Kadusevicius E. Cytochrome P450 2C19 enzyme, Cytochrome P450 2C9 enzyme, and Cytochrome P450 2D6 enzyme allelic variants and its possible effect on drug metabolism: A retrospective study. Medicine (Baltimore) 2021; 100:e24545. [PMID: 33725937 PMCID: PMC7982200 DOI: 10.1097/md.0000000000024545] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 11/17/2020] [Accepted: 01/07/2021] [Indexed: 01/05/2023] Open
Abstract
ABSTRACT The objective of the present study was to assess the allelic variations of Cytochrome P450 (CYP) enzymes Cytochrome P450 2C19 (CYP2C19), Cytochrome P450 2C9 (CYP2C9), and Cytochrome P450 2D6 (CYP2D6) as they play a major role in drug metabolism. The interindividual genetic variabilities of these enzymes can account for different responsiveness as well as concentration fluctuations for a particular drug.During the period of 2017 to 2018 a total of 54 patients have received pharmacogenetic testing at the Department of Genetics and Molecular Medicine at Kaunas Clinics. According to the genotype-metabolic phenotypes of CYP2C19, CYP2D6, CYP2C9 enzymes patients were classified according to the guidelines by Clinical Pharmacogenetics Implementation Consortium (CPIC): normal metabolizers (NMs), intermediate metabolizers (IMs), rapid metabolizers (RMs), ultrarapid metabolizers (UMs), and poor metabolizers (PMs).CYP2C19 enzyme allelic distribution: 18 patients (33.33%) with ∗1/∗1 genotype were NMs; 14 patients (25.93%) with ∗1/∗2; ∗2/∗17 genotypes were classified as IMs; 15 patients (27.78%) possessed ∗1/∗17 genotype and were RMs; 4 patients (7.4%) had ∗17/∗17 genotype with increased enzyme activity compared with RMs, were classified as UMs; 3 patients (5.56%) had ∗2/∗2 genotype and were marked as PMs. CYP2D6 enzyme allelic distribution: 26 patients (48.148%) contained ∗1/∗1,∗2/∗2,∗1/∗2,∗1/∗41,∗2/∗41 genotypes with normal enzymatic function so were accounted as NMs; 21 patients (38.89%) with ∗1/∗5, ∗2/∗4, ∗10/∗41, ∗1/∗4, ∗1/∗3, ∗2/∗5, ∗2/∗4, ∗2/∗6 genotypes were accounted as IMs; 2 patients (3.7%) possessed ∗2XN genotype and were accounted as UMs and 5 patients (9.26%) possessed ∗4/∗5,∗4/∗10,∗4/∗9,∗4/∗41 genotypes and had non-functional enzymatic activity so were accounted as PMs; CYP2C9 enzyme allelic distribution: 44 patients (81.48%) with∗1/∗1 genotype were NMs; 10 patients (18.52%) with ∗1/∗2;∗1/∗3 genotypes were IMs.The results of our study indicate that deviations from the normal enzymatic activity is common amongst Lithuanian people and combinatory genotyping of CYP2D6, CYP2C9, and CYP2C19 has to be promoted as an advanced method because of most commonly prescribed medicines like analgesics, antihypertensive, antidepressants are metabolized by multiple pathways involving enzymes in the CYP450 family.
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Affiliation(s)
| | - Virginija Asmoniene
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences
| | - Edmundas Kadusevicius
- Institute of Physiology and Pharmacology, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
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18
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Turner RM, Newman WG, Bramon E, McNamee CJ, Wong WL, Misbah S, Hill S, Caulfield M, Pirmohamed M. Pharmacogenomics in the UK National Health Service: opportunities and challenges. Pharmacogenomics 2020; 21:1237-1246. [PMID: 33118435 DOI: 10.2217/pgs-2020-0091] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Despite increasing interest in pharmacogenomics, and the potential benefits to improve patient care, implementation into clinical practice has not been widespread. Recently, there has been a drive to implement genomic medicine into the UK National Health Service (NHS), largely spurred on by the success of the 100,000 Genomes Project. The UK Pharmacogenetics and Stratified Medicine Network, NHS England and Genomics England invited experts from academia, the healthcare sector, industry and patient representatives to come together to discuss the opportunities and challenges of implementing pharmacogenomics into the NHS. This report highlights the discussions of the workshop to provide an overview of the issues that need to be considered to enable pharmacogenomic medicine to become mainstream within the NHS.
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Affiliation(s)
- Richard M Turner
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, L69 3GL, UK
| | - William G Newman
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
| | - Elvira Bramon
- Division of Psychiatry, University College London, Charles Bell House, 67-73 Riding House Street, London, W1W 7EJ, UK
| | - Christine J McNamee
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, L69 3GL, UK
| | - Wai Lup Wong
- East & North Hertfordshire NHS Trust, Coreys Mill Lane, Stevenage, SG1 4AB, UK
| | - Siraj Misbah
- John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
| | - Sue Hill
- NHS England, Skipton House, 80 London Road, London, SE1 6LH, UK
| | - Mark Caulfield
- William Harvey Research Institute, Charterhouse Square, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Munir Pirmohamed
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, L69 3GL, UK
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19
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A Web-Based Pharmacogenomics Search Tool for Precision Medicine in Perioperative Care. J Pers Med 2020; 10:jpm10030065. [PMID: 32708157 PMCID: PMC7564657 DOI: 10.3390/jpm10030065] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/05/2020] [Accepted: 07/17/2020] [Indexed: 12/16/2022] Open
Abstract
Background: Precision medicine represents an evolving approach to improve treatment efficacy by modifying it to individual patient's gene variation. Pharmacogenetics, an applicable branch of precision medicine, identifies patient's predisposing genotypes that alter the clinical outcome of the drug, hence preventing serious adverse drug reactions. Pharmacogenetics has been extensively applied to various fields of medicine, but in the field of anesthesiology and preoperative medicine, it has been unexploited. Although the US Food and Drug Administration (FDA) has a table of pharmacogenomics biomarkers and pharmacogenetics, this table only includes general side effects of the included drugs. Thus, the existing FDA table offers limited information on genetic variations that may increase drug side effects. Aims: The purpose of this paper is to provide a web-based pharmacogenomics search tool composed of a comprehensive list of medications that have pharmacogenetic relevance to perioperative medicine that might also have application in other fields of medicine. Method: For this investigation, the FDA table of pharmacogenomics biomarkers in drug labeling was utilized as an in-depth of drugs to construct our pharmacogenetics drug table. We performed a literature search for drug-gene interactions using the unique list of drugs in the FDA table. Publications containing the drug-gene interactions were identified and reviewed. Additional drugs and extracted gene-interactions in the identified publications were added to the constructed drug table. Result: Our tool provides a comprehensive pharmacogenetic drug table including 258 drugs with a total of 461 drug-gene interactions and their corresponding gene variations that might cause modifications in drug efficacy, pharmacokinetics, pharmacodynamics and adverse reactions. This tool is freely accessible online and can be applied as a web-based search instrument for drug-gene interactions in different fields of medicine, including perioperative medicine. Conclusion: In this research, we collected drug-gene interactions in a web-based searchable tool that could be used by physicians to expand their field knowledge in pharmacogenetics and facilitate their clinical decision making. This precision medicine tool could further serve in establishing a comprehensive perioperative pharmacogenomics database that also includes different fields of medicine that could influence the outcome of perioperative medicine.
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20
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Deng S, Sun Y, Zhao T, Hu Y, Zang T. A Review of Drug Side Effect Identification Methods. Curr Pharm Des 2020; 26:3096-3104. [PMID: 32532187 DOI: 10.2174/1381612826666200612163819] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 05/18/2020] [Indexed: 11/22/2022]
Abstract
Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.
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Affiliation(s)
- Shuai Deng
- College of Science, Beijing Forestry University, Beijing, China
| | - Yige Sun
- Microbiology Department, Harbin Medical University, Harbin, 150081, China
| | - Tianyi Zhao
- School of Life Science and Technology, Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Yang Hu
- School of Life Science and Technology, Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Tianyi Zang
- School of Life Science and Technology, Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
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21
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Raghav D, Mahanty S, Rathinasamy K. Characterizing the interactions of the antipsychotic drug trifluoperazine with bovine serum albumin: Probing the drug-protein and drug-drug interactions using multi-spectroscopic approaches. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 226:117584. [PMID: 31698317 DOI: 10.1016/j.saa.2019.117584] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/16/2019] [Accepted: 09/29/2019] [Indexed: 06/10/2023]
Abstract
Trifluoperazine is a potent antipsychotic drug used in the treatment of neurological disorders. The usage of trifluoperazine is often found to be associated with more adverse side effects as compared to other low-potency antipsychotic agents. Plasma proteins play an inevitable role in determining the pharmacokinetic properties of a drug. Hence, this study was conducted with an aim to characterize the interactions of trifluoperazine with bovine serum albumin and determine the influence of other small molecules on its interaction with serum albumin. Trifluoperazine bound to BSA at two independent sites with Kd values of 9.5 and 172.6 μM. Förster resonance energy transfer and computational docking analysis revealed that both the binding sites of trifluoperazine were located closer to TRP 213 in subdomain IIA of BSA. Evaluation of trifluoperazine-BSA interactions at three different temperatures indicated that there was a stable complex formation between the two molecules at the ground state and that the static quenching mechanism was predominant behind these interactions. Binding studies in the presence of pharmaceutically relevant drugs indicated that warfarin, paracetamol, and caffeine negatively influenced the binding of trifluoperazine on BSA. Lastly, Fourier transformed infrared spectroscopy and circular dichroism spectroscopy indicated that the binding of trifluoperazine induced a conformational change by reducing the α-helical content of BSA. The study implicates that the small molecules which prefer binding to the Sudlow site I of BSA might compete with trifluoperazine for its binding site thereby increasing the concentration of free trifluoperazine in the plasma which could lead to adverse side effects in patients.
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Affiliation(s)
- Darpan Raghav
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Susobhan Mahanty
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Krishnan Rathinasamy
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India.
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22
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Lacaze P, Ronaldson KJ, Zhang EJ, Alfirevic A, Shah H, Newman L, Strahl M, Smith M, Bousman C, Francis B, Morris AP, Wilson T, Rossello F, Powell D, Vasic V, Sebra R, McNeil JJ, Pirmohamed M. Genetic associations with clozapine-induced myocarditis in patients with schizophrenia. Transl Psychiatry 2020; 10:37. [PMID: 32066683 PMCID: PMC7026069 DOI: 10.1038/s41398-020-0722-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 12/09/2019] [Accepted: 12/30/2019] [Indexed: 02/07/2023] Open
Abstract
Clozapine is the most effective antipsychotic drug for schizophrenia, yet it can cause life-threatening adverse drug reactions, including myocarditis. The aim of this study was to determine whether schizophrenia patients with clozapine-induced myocarditis have a genetic predisposition compared with clozapine-tolerant controls. We measured different types of genetic variation, including genome-wide single-nucleotide polymorphisms (SNPs), coding variants that alter protein expression, and variable forms of human leucocyte antigen (HLA) genes, alongside traditional clinical risk factors in 42 cases and 67 controls. We calculated a polygenic risk score (PRS) based on variation at 96 different genetic sites, to estimate the genetic liability to clozapine-induced myocarditis. Our genome-wide association analysis identified four SNPs suggestive of increased myocarditis risk (P < 1 × 10-6), with odds ratios ranging 5.5-13.7. The SNP with the lowest P value was rs74675399 (chr19p13.3, P = 1.21 × 10-7; OR = 6.36), located in the GNA15 gene, previously associated with heart failure. The HLA-C*07:01 allele was identified as potentially predisposing to clozapine-induced myocarditis (OR = 2.89, 95% CI: 1.11-7.53), consistent with a previous report of association of the same allele with clozapine-induced agranulocytosis. Another seven HLA alleles, including HLA-B*07:02 (OR = 0.25, 95% CI: 0.05-1.2) were found to be putatively protective. Long-read DNA sequencing provided increased resolution of HLA typing and validated the HLA associations. The PRS explained 66% of liability (P value = 9.7 × 10-5). Combining clinical and genetic factors together increased the proportion of variability accounted for (r2 0.73, P = 9.8 × 10-9). However, due to the limited sample size, individual genetic associations were not statistically significant after correction for multiple testing. We report novel candidate genetic associations with clozapine-induced myocarditis, which may have potential clinical utility, but larger cohorts are required for replication.
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Affiliation(s)
- Paul Lacaze
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Kathlyn J. Ronaldson
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC Australia
| | - Eunice J. Zhang
- grid.269741.f0000 0004 0421 1585MRC Centre for Drug Safety Science, Wolfson Centre for Personalised Medicine, University of Liverpool, The Royal Liverpool and Broadgreen University Hospitals NHS Trust, and Liverpool Health Partners, Liverpool, UK
| | - Ana Alfirevic
- grid.269741.f0000 0004 0421 1585MRC Centre for Drug Safety Science, Wolfson Centre for Personalised Medicine, University of Liverpool, The Royal Liverpool and Broadgreen University Hospitals NHS Trust, and Liverpool Health Partners, Liverpool, UK
| | - Hardik Shah
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Leah Newman
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Maya Strahl
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Melissa Smith
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Chad Bousman
- grid.22072.350000 0004 1936 7697Departments of Medical Genetics, Psychiatry, and Physiology & Pharmacology, University of Calgary, Calgary, AB Canada
| | - Ben Francis
- grid.10025.360000 0004 1936 8470Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Andrew P. Morris
- grid.10025.360000 0004 1936 8470Department of Biostatistics, University of Liverpool, Liverpool, UK ,grid.5379.80000000121662407Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK
| | - Trevor Wilson
- grid.452824.dMedical Genomics Facility, Hudson Institute of Medical Research, Melbourne, VIC Australia
| | - Fernando Rossello
- grid.1008.90000 0001 2179 088XUniversity of Melbourne Centre for Cancer Research, University of Melbourne, Melbourne, VIC Australia
| | - David Powell
- grid.1002.30000 0004 1936 7857Bioinformatics Platform, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC Australia
| | - Vivien Vasic
- grid.452824.dMedical Genomics Facility, Hudson Institute of Medical Research, Melbourne, VIC Australia
| | - Robert Sebra
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - John J. McNeil
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC Australia
| | - Munir Pirmohamed
- grid.269741.f0000 0004 0421 1585MRC Centre for Drug Safety Science, Wolfson Centre for Personalised Medicine, University of Liverpool, The Royal Liverpool and Broadgreen University Hospitals NHS Trust, and Liverpool Health Partners, Liverpool, UK
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23
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Real M, Barnhill MS, Higley C, Rosenberg J, Lewis JH. Drug-Induced Liver Injury: Highlights of the Recent Literature. Drug Saf 2020; 42:365-387. [PMID: 30343418 DOI: 10.1007/s40264-018-0743-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Drug-induced liver injury (DILI), herbal-induced liver injury, and herbal and dietary supplement (HDS)-induced liver injury are an important aspect of drug safety. Knowledge regarding responsible drugs, mechanisms, risk factors, and the diagnostic tools to detect liver injury have continued to grow in the past year. This review highlights what we considered the most significant publications from among more than 1800 articles relating to liver injury from medications, herbal products, and dietary supplements in 2017 and 2018. The US Drug-Induced Liver Injury Network (DILIN) prospective study highlighted several areas of ongoing study, including the potential utility of human leukocyte antigens and microRNAs as DILI risk factors and new data on racial differences, the role of alcohol consumption, factors associated with prognosis, and updates on the clinical signatures of autoimmune DILI, thiopurines, and HDS agents. Novel data were also generated from the Spanish and Latin American DILI registries as well as from Chinese and Korean case series. A few new agents causing DILI were added to the growing list in the past 2 years, including sodium-glucose co-transporter-2 inhibitors, as were new aspects of chemotherapy-associated liver injury. A number of cases reported previously described hepatotoxins confirmed via the Roussel Uclaf Causality Assessment Method (RUCAM; e.g., norethisterone, methylprednisolone, glatiramer acetate) and/or the DILIN method (e.g., celecoxib, dimethyl fumarate). Additionally, much work centered on elucidating the pathophysiology of DILI, including the importance of bile salt export pumps and immune-mediated mechanisms. Finally, it must be noted that, while hundreds of new studies described DILI in 2017-2018, the quality of such reports must always be addressed. Björnsson reminds us to remain very critical of the data when addressing the future utility of a study, which is why it is so important to adhere to a standardized method such as RUCAM when determining DILI causality. While drug-induced hepatotoxicity remains a diagnosis of exclusion, the diverse array of publications that appeared in 2017 and 2018 provided important advances in our understanding of DILI, paving the way for our improved ability to make a more definitive diagnosis and risk assessment.
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Affiliation(s)
- Mark Real
- Division of Gastroenterology and Hepatology, Georgetown University Hospital, Washington, DC, USA
| | - Michele S Barnhill
- Department of Medicine, Georgetown University Hospital, Washington, DC, USA
| | - Cory Higley
- Department of Medicine, Georgetown University Hospital, Washington, DC, USA
| | - Jessica Rosenberg
- Department of Medicine, Georgetown University Hospital, Washington, DC, USA
| | - James H Lewis
- Division of Gastroenterology and Hepatology, Georgetown University Hospital, Washington, DC, USA.
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24
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van der Lee M, Allard WG, Bollen S, Santen GWE, Ruivenkamp CAL, Hoffer MJV, Kriek M, Guchelaar HJ, Anvar SY, Swen JJ. Repurposing of Diagnostic Whole Exome Sequencing Data of 1,583 Individuals for Clinical Pharmacogenetics. Clin Pharmacol Ther 2019; 107:617-627. [PMID: 31594036 PMCID: PMC7027978 DOI: 10.1002/cpt.1665] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/12/2019] [Indexed: 12/14/2022]
Abstract
For ~ 80 drugs, widely recognized pharmacogenetics dosing guidelines are available. However, the use of these guidelines in clinical practice remains limited as only a fraction of patients is subjected to pharmacogenetic screening. We investigated the feasibility of repurposing whole exome sequencing (WES) data for a panel of 42 variants in 11 pharmacogenes to provide a pharmacogenomic profile. Existing diagnostic WES‐data from child‐parent trios totaling 1,583 individuals were used. Results were successfully extracted for 39 variants. No information could be extracted for three variants, located in CYP2C19, UGT1A1, and CYP3A5, and for CYP2D6 copy number. At least one actionable phenotype was present in 86% of the individuals. Haplotype phasing proved relevant for CYP2B6 assignments as 1.5% of the phenotypes were corrected after phasing. In conclusion, repurposing WES‐data can yield meaningful pharmacogenetic profiles for 7 of 11 important pharmacogenes, which can be used to guide drug treatment.
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Affiliation(s)
- Maaike van der Lee
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Network for Personalized Therapeutics, Leiden, The Netherlands
| | - William G Allard
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Sander Bollen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gijs W E Santen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Claudia A L Ruivenkamp
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mariëtte J V Hoffer
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marjolein Kriek
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Network for Personalized Therapeutics, Leiden, The Netherlands
| | - Seyed Y Anvar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Network for Personalized Therapeutics, Leiden, The Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Network for Personalized Therapeutics, Leiden, The Netherlands
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25
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Abstract
Pneumonia is a highly prevalent disease with considerable morbidity and mortality. However, diagnosis and therapy still rely on antiquated methods, leading to the vast overuse of antimicrobials, which carries risks for both society and the individual. Furthermore, outcomes in severe pneumonia remain poor. Genomic techniques have the potential to transform the management of pneumonia through deep characterization of pathogens as well as the host response to infection. This characterization will enable the delivery of selective antimicrobials and immunomodulatory therapy that will help to offset the disorder associated with overexuberant immune responses.
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Affiliation(s)
- Samir Gautam
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA
| | - Lokesh Sharma
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA
| | - Charles S Dela Cruz
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA.
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26
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Cacabelos R, Cacabelos N, Carril JC. The role of pharmacogenomics in adverse drug reactions. Expert Rev Clin Pharmacol 2019; 12:407-442. [DOI: 10.1080/17512433.2019.1597706] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Ramón Cacabelos
- EuroEspes Biomedical Research Center, Institute of Medical Science and Genomic Medicine, Corunna, Spain
| | - Natalia Cacabelos
- EuroEspes Biomedical Research Center, Institute of Medical Science and Genomic Medicine, Corunna, Spain
| | - Juan C. Carril
- EuroEspes Biomedical Research Center, Institute of Medical Science and Genomic Medicine, Corunna, Spain
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27
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Uetrecht J. Mechanisms of idiosyncratic drug-induced liver injury. ADVANCES IN PHARMACOLOGY 2019; 85:133-163. [DOI: 10.1016/bs.apha.2018.12.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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