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Mohamed ME, Guo B, Wu B, Schladt DP, Muthusamy A, Guan W, Abrahante JE, Onyeaghala G, Saqr A, Pankratz N, Agarwal G, Mannon RB, Matas AJ, Oetting WS, Remmel RP, Israni AK, Jacobson PA, Dorr CR. Extreme phenotype sampling and next generation sequencing to identify genetic variants associated with tacrolimus in African American kidney transplant recipients. THE PHARMACOGENOMICS JOURNAL 2024; 24:29. [PMID: 39179559 DOI: 10.1038/s41397-024-00349-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 07/19/2024] [Accepted: 08/12/2024] [Indexed: 08/26/2024]
Abstract
African American (AA) kidney transplant recipients (KTRs) have poor outcomes, which may in-part be due to tacrolimus (TAC) sub-optimal immunosuppression. We previously determined the common genetic regulators of TAC pharmacokinetics in AAs which were CYP3A5 *3, *6, and *7. To identify low-frequency variants that impact TAC pharmacokinetics, we used extreme phenotype sampling and compared individuals with extreme high (n = 58) and low (n = 60) TAC troughs (N = 515 AA KTRs). Targeted next generation sequencing was conducted in these two groups. Median TAC troughs in the high group were 7.7 ng/ml compared with 6.3 ng/ml in the low group, despite lower daily doses of 5 versus 12 mg, respectively. Of 34,542 identified variants across 99 genes, 1406 variants were suggestively associated with TAC troughs in univariate models (p-value < 0.05), however none were significant after multiple testing correction. We suggest future studies investigate additional sources of TAC pharmacokinetic variability such as drug-drug-gene interactions and pharmacomicrobiome.
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Affiliation(s)
- Moataz E Mohamed
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Bin Guo
- Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Baolin Wu
- Department of Epidemiology and Biostatistics, University of California Irvine, Irvine, CA, USA
| | - David P Schladt
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA
| | | | - Weihua Guan
- Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Juan E Abrahante
- Research Informatics, Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - Guillaume Onyeaghala
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Nephrology Division, Hennepin Healthcare, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Abdelrahman Saqr
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Gaurav Agarwal
- Division of Nephrology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Roslyn B Mannon
- Division of Nephrology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Arthur J Matas
- Division of Transplantation, Department of Surgery, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - William S Oetting
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Rory P Remmel
- Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Ajay K Israni
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Nephrology Division, Hennepin Healthcare, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
- Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamala A Jacobson
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Casey R Dorr
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA.
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
- Nephrology Division, Hennepin Healthcare, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
- Clinical and Translational Sciences Institute, University of Minnesota, Minneapolis, MN, USA.
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2
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Mohamed M, Guo B, Wu B, Schladt D, Muthusamy A, Guan W, Abrahante J, Onyeaghala G, Saqr A, Pankratz N, Agarwal G, Mannon R, Matas A, Oetting W, Remmel R, Israni A, Jacobson P, Dorr C. Extreme Phenotype Sampling and Next Generation Sequencing to Identify Genetic Variants Associated with Tacrolimus in African American Kidney Transplant Recipients. RESEARCH SQUARE 2024:rs.3.rs-4050136. [PMID: 38558983 PMCID: PMC10980152 DOI: 10.21203/rs.3.rs-4050136/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
African American (AA) kidney transplant recipients (KTRs) have poor outcomes, which may in-part be due to tacrolimus (TAC) sub-optimal immunosuppression. We previously determined the common genetic regulators of TAC pharmacokinetics in AAs which were CYP3A5 *3, *6, and *7. To identify low-frequency variants that impact TAC pharmacokinetics, we used extreme phenotype sampling and compared individuals with extreme high (n=58) and low (n=60) TAC troughs (N=515 AA KTRs). Targeted next generation sequencing was conducted in these two groups. Median TAC troughs in the high group were 7.7 ng/ml compared with 6.3 ng/ml in the low group, despite lower daily doses of 5 versus 12mg, respectively. Of 34,542 identified variants across 99 genes, 1,406 variants were suggestively associated with TAC troughs in univariate models (p-value <0.05), however none were significant after multiple testing correction. We suggest future studies investigate additional sources of TAC pharmacokinetic variability such as drug-drug-gene interactions and pharmacomicrobiome.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pamala Jacobson
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota
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3
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Rong Y, Tang MZ, Liu SH, Li XF, Cai H. Comprehensive analysis of the potential pathogenesis of COVID-19 infection and liver cancer. World J Gastrointest Oncol 2024; 16:436-457. [PMID: 38425388 PMCID: PMC10900145 DOI: 10.4251/wjgo.v16.i2.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND A growing number of clinical examples suggest that coronavirus disease 2019 (COVID-19) appears to have an impact on the treatment of patients with liver cancer compared to the normal population, and the prevalence of COVID-19 is significantly higher in patients with liver cancer. However, this mechanism of action has not been clarified. AIM To investigate the disease relevance of COVID-19 in liver cancer. METHODS Gene sets for COVID-19 (GSE180226) and liver cancer (GSE87630) were obtained from the Gene Expression Omnibus database. After identifying the common differentially expressed genes (DEGs) of COVID-19 and liver cancer, functional enrichment analysis, protein-protein interaction network construction and screening and analysis of hub genes were performed. Subsequently, the validation of the differential expression of hub genes in the disease was performed and the regulatory network of transcription factors and hub genes was constructed. RESULTS Of 518 common DEGs were obtained by screening for functional analysis. Fifteen hub genes including aurora kinase B, cyclin B2, cell division cycle 20, cell division cycle associated 8, nucleolar and spindle associated protein 1, etc., were further identified from DEGs using the "cytoHubba" plugin. Functional enrichment analysis of hub genes showed that these hub genes are associated with P53 signalling pathway regulation, cell cycle and other functions, and they may serve as potential molecular markers for COVID-19 and liver cancer. Finally, we selected 10 of the hub genes for in vitro expression validation in liver cancer cells. CONCLUSION Our study reveals a common pathogenesis of liver cancer and COVID-19. These common pathways and key genes may provide new ideas for further mechanistic studies.
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Affiliation(s)
- Yao Rong
- First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, China
- General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
| | - Ming-Zheng Tang
- First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, China
- General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
| | - Song-Hua Liu
- First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, China
- General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
| | - Xiao-Feng Li
- First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, China
| | - Hui Cai
- General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China
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Claw KG, Dorr CR, Woodahl EL. Implementing community-engaged pharmacogenomics in Indigenous communities. Nat Commun 2024; 15:920. [PMID: 38296967 PMCID: PMC10831049 DOI: 10.1038/s41467-024-45032-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Affiliation(s)
- Katrina G Claw
- Department of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Casey R Dorr
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Nephrology Division, Department of Medicine, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA
- Experimental and Clinical Pharmacology Department, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
- Clinical and Translational Sciences Institute, University of Minnesota, Minneapolis, MN, USA
| | - Erica L Woodahl
- Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, USA
- L.S. Skaggs Institute for Health Innovation, University of Montana, Missoula, MT, USA
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5
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Cronin JM, Yu AM. Recombinant Technologies Facilitate Drug Metabolism, Pharmacokinetics, and General Biomedical Research. Drug Metab Dispos 2023; 51:685-699. [PMID: 36948592 PMCID: PMC10197202 DOI: 10.1124/dmd.122.001008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/24/2023] Open
Abstract
The development of safe and effective medications requires a profound understanding of their pharmacokinetic (PK) and pharmacodynamic properties. PK studies have been built through investigation of enzymes and transporters that drive drug absorption, distribution, metabolism, and excretion (ADME). Like many other disciplines, the study of ADME gene products and their functions has been revolutionized through the invention and widespread adoption of recombinant DNA technologies. Recombinant DNA technologies use expression vectors such as plasmids to achieve heterologous expression of a desired transgene in a specified host organism. This has enabled the purification of recombinant ADME gene products for functional and structural characterization, allowing investigators to elucidate their roles in drug metabolism and disposition. This strategy has also been used to offer recombinant or bioengineered RNA (BioRNA) agents to investigate the posttranscriptional regulation of ADME genes. Conventional research with small noncoding RNAs such as microRNAs (miRNAs) and small interfering RNAs has been dependent on synthetic RNA analogs that are known to carry a range of chemical modifications expected to improve stability and PK properties. Indeed, a novel transfer RNA fused pre-miRNA carrier-based bioengineering platform technology has been established to offer consistent and high-yield production of unparalleled BioRNA molecules from Escherichia coli fermentation. These BioRNAs are produced and processed inside living cells to better recapitulate the properties of natural RNAs, representing superior research tools to investigate regulatory mechanisms behind ADME. SIGNIFICANCE STATEMENT: This review article summarizes recombinant DNA technologies that have been an incredible boon in the study of drug metabolism and PK, providing investigators with powerful tools to express nearly any ADME gene products for functional and structural studies. It further overviews novel recombinant RNA technologies and discusses the utilities of bioengineered RNA agents for the investigation of ADME gene regulation and general biomedical research.
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Affiliation(s)
- Joseph M Cronin
- Department of Biochemistry and Molecular Medicine, UC Davis School of Medicine, Sacramento, CA (J.M.C., A.-M.Y.)
| | - Ai-Ming Yu
- Department of Biochemistry and Molecular Medicine, UC Davis School of Medicine, Sacramento, CA (J.M.C., A.-M.Y.)
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6
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Yang W, Zhao H, Dou Y, Wang P, Chang Q, Qiao X, Wang X, Xu C, Zhang Z, Zhang L. CYP3A4 and CYP3A5 Expression is Regulated by C YP3A4*1G in CRISPR/Cas9-Edited HepG2 Cells. Drug Metab Dispos 2023; 51:492-498. [PMID: 36623883 DOI: 10.1124/dmd.122.001111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 11/16/2022] [Accepted: 12/05/2022] [Indexed: 01/10/2023] Open
Abstract
Functional CYP3A4*1G (G>A, rs2242480) in cytochrome P450 3A4 (CYP3A4) regulates the drug-metabolizing enzyme CYP3A4 expression. The objective of this study was to investigate whether CYP3A4*1G regulates both basal and rifampicin (RIF)-induced expression and enzyme activity of CYP3A4 and CYP3A5 in gene-edited human HepG2 cells. CYP3A4*1G GG and AA genotype HepG2 cells were established using the clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) single nucleotide polymorphism technology and homology-directed repair in the CYP3A4*1G GA HepG2 cell line. In CYP3A4*1G GG, GA, and AA HepG2 cells, CYP3A4*1G regulated expression of CYP3A4 and CYP3A5 mRNA and protein in an allele-dependent manner. Of note, significantly decreased expression level of CYP3A4 and CYP3A5 was observed in CYP3A4*1G AA HepG2 cells. Moreover, the results after RIF treatment showed that CYP3A4*1G decreased the induction level of CYP3A4 and CYP3A5 mRNA expression in CYP3A4*1G AA HepG2 cells. At the same time, CYP3A4*1G decreased CYP3A4 enzyme activity and tacrolimus metabolism, especially in CYP3A4*1G GA HepG2 cells. In summary, we successfully constructed CYP3A4*1G GG and AA homozygous HepG2 cell models and found that CYP3A4*1G regulates both basal and RIF-induced expression and enzyme activity of CYP3A4 and CYP3A5 in CRISPR/Cas9 CYP3A4*1G HepG2 cells. SIGNIFICANCE STATEMENT: Cytochrome P450 (CYP) 3A4*1G regulates both basal and rifampicin (RIF)-induced expression and enzyme activity of CYP3A4 and CYP3A5. This study successfully established CYP3A4*1G (G>A, rs2242480), GG, and AA HepG2 cell models using CRISPR/Cas9, thus providing a powerful tool for studying the mechanism by which CYP3A4*1G regulates the basal and RIF-induced expression of CYP3A4 and CYP3A5.
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Affiliation(s)
- Weihong Yang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Huan Zhao
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Yaojie Dou
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Pei Wang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Qi Chang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Xiaomeng Qiao
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Xiaofei Wang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Chen Xu
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Zhe Zhang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
| | - Lirong Zhang
- Department of Forensic Medicine (W.Y., H.Z., Y.D., X.Q., C.X.) and Department of Pharmacology (P.W., Q.C., X.W., L.Z.), School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China; and Department of Gastroenterology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China (Z.Z.)
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7
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Russell LE, Zhou Y, Almousa AA, Sodhi JK, Nwabufo CK, Lauschke VM. Pharmacogenomics in the era of next generation sequencing - from byte to bedside. Drug Metab Rev 2021; 53:253-278. [PMID: 33820459 DOI: 10.1080/03602532.2021.1909613] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Pharmacogenetic research has resulted in the identification of a multitude of genetic variants that impact drug response or toxicity. These polymorphisms are mostly common and have been included as actionable information in the labels of numerous drugs. In addition to common variants, recent advances in Next Generation Sequencing (NGS) technologies have resulted in the identification of a plethora of rare and population-specific pharmacogenetic variations with unclear functional consequences that are not accessible by conventional forward genetics strategies. In this review, we discuss how comprehensive sequencing information can be translated into personalized pharmacogenomic advice in the age of NGS. Specifically, we provide an update of the functional impacts of rare pharmacogenetic variability and how this information can be leveraged to improve pharmacogenetic guidance. Furthermore, we critically discuss the current status of implementation of pharmacogenetic testing across drug development and layers of care. We identify major gaps and provide perspectives on how these can be minimized to optimize the utilization of NGS data for personalized clinical decision-support.
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Affiliation(s)
| | - Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Ahmed A Almousa
- Department of Pharmacy, London Health Sciences Center, Victoria Hospital, London, ON, Canada
| | - Jasleen K Sodhi
- Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA.,Department of Drug Metabolism and Pharmacokinetics, Plexxikon, Inc., Berkeley, CA, USA
| | | | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
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8
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Klomp SD, Manson ML, Guchelaar HJ, Swen JJ. Phenoconversion of Cytochrome P450 Metabolism: A Systematic Review. J Clin Med 2020; 9:jcm9092890. [PMID: 32906709 PMCID: PMC7565093 DOI: 10.3390/jcm9092890] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 12/15/2022] Open
Abstract
Phenoconversion is the mismatch between the individual’s genotype-based prediction of drug metabolism and the true capacity to metabolize drugs due to nongenetic factors. While the concept of phenoconversion has been described in narrative reviews, no systematic review is available. A systematic review was conducted to investigate factors contributing to phenoconversion and the impact on cytochrome P450 metabolism. Twenty-seven studies met the inclusion criteria and were incorporated in this review, of which 14 demonstrate phenoconversion for a specific genotype group. Phenoconversion into a lower metabolizer phenotype was reported for concomitant use of CYP450-inhibiting drugs, increasing age, cancer, and inflammation. Phenoconversion into a higher metabolizer phenotype was reported for concomitant use of CYP450 inducers and smoking. Moreover, alcohol, pregnancy, and vitamin D exposure are factors where study data suggested phenoconversion. The studies reported genotype–phenotype discrepancies, but the impact of phenoconversion on the effectiveness and toxicity in the clinical setting remains unclear. In conclusion, phenoconversion is caused by both extrinsic factors and patient- and disease-related factors. The mechanism(s) behind and the extent to which CYP450 metabolism is affected remain unexplored. If studied more comprehensively, accounting for phenoconversion may help to improve our ability to predict the individual CYP450 metabolism and personalize drug treatment.
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Affiliation(s)
- Sylvia D. Klomp
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (S.D.K.); (H.-J.G.)
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
| | - Martijn L. Manson
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (S.D.K.); (H.-J.G.)
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
| | - Jesse J. Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (S.D.K.); (H.-J.G.)
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
- Correspondence:
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9
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Mohamed ME, Schladt DP, Guan W, Wu B, van Setten J, Keating B, Iklé D, Remmel RP, Dorr CR, Mannon RB, Matas AJ, Israni AK, Oetting WS, Jacobson PA. Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups. Am J Transplant 2019; 19:2795-2804. [PMID: 30953600 PMCID: PMC6763344 DOI: 10.1111/ajt.15385] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/04/2019] [Accepted: 03/28/2019] [Indexed: 02/06/2023]
Abstract
Tacrolimus trough and dose requirements vary dramatically between individuals of European and African American ancestry. These differences are less well described in other populations. We conducted an observational, prospective, multicenter study from which 2595 kidney transplant recipients of European, African, Native American, and Asian ancestry were studied for tacrolimus trough, doses, and genetic determinants of metabolism. We studied the well-known variants and conducted a CYP3A4/5 gene-wide analysis to identify new variants. Daily doses, and dose-normalized troughs were significantly different between the four groups (P < .001). CYP3A5*3 (rs776746) was associated with higher dose-normalized tacrolimus troughs in all groups but occurred at different allele frequencies and had differing effect sizes. The CYP3A5*6 (rs10264272) and *7 (rs413003343) variants were only present in African Americans. CYP3A4*22 (rs35599367) was not found in any of the Asian ancestry samples. We identified seven suggestive variants in the CYP3A4/5 genes associated with dose-normalized troughs in Native Americans (P = 1.1 × 10-5 -8.8 × 10-6 ) and one suggestive variant in Asian Americans (P = 5.6 × 10-6 ). Tacrolimus daily doses and dose-normalized troughs vary significantly among different ancestry groups. We identified potential new variants important in Asians and Native Americans. Studies with larger populations should be conducted to assess the importance of the identified suggestive variants.
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Affiliation(s)
- Moataz E. Mohamed
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA,Department of Pharmacy Practice, Faculty of Pharmacy, Helwan University, Cairo, Egypt
| | | | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Baolin Wu
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Jessica van Setten
- Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Brendan Keating
- Department of Surgery, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Rory P. Remmel
- Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Casey R. Dorr
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA,Department of Medicine, University of Minnesota, Hennepin Healthcare, Minneapolis, MN
| | | | - Arthur J. Matas
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Ajay K. Israni
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA,Department of Medicine, University of Minnesota, Hennepin Healthcare, Minneapolis, MN,Department of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | - William S. Oetting
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Pamala A. Jacobson
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
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Sawant-Basak A, Obach RS. Emerging Models of Drug Metabolism, Transporters, and Toxicity. Drug Metab Dispos 2019; 46:1556-1561. [PMID: 30333205 DOI: 10.1124/dmd.118.084293] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 09/14/2018] [Indexed: 12/13/2022] Open
Abstract
This commentary summarizes expert mini-reviews and original research articles that have been assembled in a special issue on novel models of drug metabolism and disposition. The special issue consists of research articles or reviews on novel static or micro-flow based models of the intestine, liver, eye, and kidney. This issue reviews static intestinal systems like mucosal scrapings and cryopreserved intestinal enterocytes, as well as novel bioengineered or chemically engineered intestinal models derived from primary human tissue, iPSCs, enteroids, and crypts. Experts have reviewed hepatic systems like cryopermeabilized Metmax hepatocytes and longer term, hepatocyte coculture system from HµREL, yielding in vivo-like primary and secondary drug metabolite profiles. Additional liver models, including micropattern hepatocyte coculture, 3D liver spheroids, and microflow systems, applicable to the study of drug disposition and toxicology have also been reviewed. In this commentary, we have outlined expert opinions and current efforts on hepatic- and nephrotoxicity models. Ocular disposition models including corneal permeability models have been included within this special issue. This commentary provides a summary of in vivo mini-reviews of the issue, which have discussed the applications and drawbacks of pig and humanized mice models of P450, UGT, and rat organic anionic transporting polypeptide 1a4. While not extensively reviewed, novel positron emissions tomography imaging-based approaches to study the distribution of xenobiotics have been highlighted. This commentary also outlines in vitro and in vivo models of drug metabolism derived from breakthrough genetic, chromosomal, and tissue engineering techniques. The commentary concludes by providing a futuristic view of the novel models discussed in this issue.
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Affiliation(s)
- Aarti Sawant-Basak
- Pfizer Worldwide Research & Development, Clinical Pharmacology, Cambridge, Massachusetts (A.S.-B.) and Pfizer Worldwide Research & Development, Pharmacokinetics, Dynamics, and Metabolism, Groton, Connecticut (R.S.O.)
| | - R Scott Obach
- Pfizer Worldwide Research & Development, Clinical Pharmacology, Cambridge, Massachusetts (A.S.-B.) and Pfizer Worldwide Research & Development, Pharmacokinetics, Dynamics, and Metabolism, Groton, Connecticut (R.S.O.)
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11
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Ou B, Liu Y, Zhang T, Sun Y, Chen J, Peng Z. TLR9 rs352139 Genetic Variant Promotes Tacrolimus Elimination in Chinese Liver Transplant Patients During the Early Posttransplantation Period. Pharmacotherapy 2019; 39:67-76. [PMID: 30537010 DOI: 10.1002/phar.2204] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND There are limited markers that could facilitate individualized tacrolimus treatment in the early posttransplantation period. Genetic factors have been found to play critical roles in determining tacrolimus pharmacokinetics. OBJECTIVE We aimed to examine the association of donor and recipient Toll-like receptor (TLR) polymorphisms with tacrolimus elimination and the potential mechanism for TLR gene polymorphism-mediated tacrolimus metabolism. METHODS Two independent cohorts including 297 patients receiving liver transplantation (LT) were enrolled in this study (cohort A was composed of 200 patients; cohort B included 97 patients and served as a validation set). Toll-like receptors polymorphisms were genotyped using TaqMan single nucleotide polymorphisms (SNPs) assays. The protein expressions were detected by Western blotting. The metabolism assay was used to quantify tacrolimus elimination. The activity of nuclear factor-kB (NF-kB) was evaluated by luciferase reporter assay. RESULTS Tacrolimus dose-adjusted trough blood concentrations (C/D) ratios were significantly lower for donor TLR9 rs352139 AG/GG carriers than AA carriers at weeks 1, 2, and 3 after LT. In multivariate analysis, donor and recipient CYP3A5 rs776746 and donor TLR9 rs352139 were independent predictors of tacrolimus C/D ratios in the early period after transplantation in both cohorts. When investigating the combined effects of donor CYP3A5 rs776746 and donor TLR9 rs352139 genotypes, the C/D ratios were remarkably significant at all time points during the first month after LT within the four groups. Furthermore, CYP3A5 mRNA expression in liver tissue was significantly higher for AG/GG patients than AA carriers after LT. In addition, we demonstrated that the TLR9 rs352139 genetic variant promotes tacrolimus metabolism of liver cells via upregulation of CYP3A5, which is dependent on the repression of NF-κB/pregnane X receptor (PXR) signaling. CONCLUSIONS Donor TLR9 rs352139 genetic variant facilitated tacrolimus elimination during the early stage after LT in Chinese patients, which might be related to the upregulation of CYP3A5 enzyme via the NF-kB/PXR signaling pathway.
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Affiliation(s)
- Baochi Ou
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Liu
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Zhang
- Department of Organ Transplantation, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yahuang Sun
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiayi Chen
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihai Peng
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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12
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Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing. THE PHARMACOGENOMICS JOURNAL 2018; 19:375-389. [PMID: 30442921 PMCID: PMC6522337 DOI: 10.1038/s41397-018-0063-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 09/11/2018] [Accepted: 09/27/2018] [Indexed: 12/26/2022]
Abstract
An extreme phenotype sampling (EPS) model with targeted next-generation sequencing (NGS) identified genetic variants associated with tacrolimus (Tac) metabolism in subjects from the Deterioration of Kidney Allograft Function (DeKAF) Genomics cohort which included 1,442 European Americans (EA) and 345 African Americans (AA). This study included 48 subjects separated into 4 groups of 12 (AA high, AA low, EA high, EA low). Groups were selected by the extreme phenotype of dose-normalized Tac trough concentrations after adjusting for common genetic variants and clinical factors. NGS spanned >3 Mb of 28 genes and identified 18,661 genetic variants (3,961 previously unknown). A group of 125 deleterious variants, by SIFT analysis, were associated with Tac troughs in EAs (burden test, p=0.008), CYB5R2 was associated with Tac troughs in AAs (SKAT, p=0.00079). In CYB5R2, rs61733057 (increased allele frequency in AAs) was predicted to disrupt protein function by SIFT and PolyPhen2 analysis. The variants merit further validation.
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13
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San SN, Matsumoto J, Saito Y, Koike M, Sakaue H, Kato Y, Fujiyoshi M, Ariyoshi N, Yamada H. Minor contribution of CYP3A5 to the metabolism of hepatitis C protease inhibitor paritaprevir in vitro. Xenobiotica 2018; 49:935-944. [PMID: 30227770 DOI: 10.1080/00498254.2018.1524947] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Paritaprevir (PTV) is a non-structural protein 3/4A protease inhibitor developed for the treatment of hepatitis C disease as a fixed dose combination of ombitasvir (OBV) and ritonavir (RTV) with or without dasabuvir. The aim of this study was to evaluate the effects of cytochrome P450 (CYP) 3A5 on in vitro PTV metabolism using human recombinant CYP3A4, CYP3A5 (rCYP3A4, rCYP3A5) and human liver microsomes (HLMs) genotyped as either CYP3A5*1/*1, CYP3A5*1/*3 or CYP3A5*3/*3. The intrinsic clearance (CLint, Vmax/Km) for the production of a metabolite from PTV in rCYP3A4 was 1.5 times higher than that in rCYP3A5. The PTV metabolism in CYP3A5*1/*1 and CYP3A5*1/*3 HLMs expressing CYP3A5 was comparable to that in CYP3A5*3/*3 HLMs, which lack CYP3A5. CYP3A4 expression level was significantly correlated with PTV disappearance rate and metabolite formation. In contrast, there was no such correlation found for CYP3A5 expression level. This study represents that the major CYP isoform involved in PTV metabolism is CYP3A4, with CYP3A5 having a minor role in PTV metabolism. The findings of the present study may provide foundational information on PTV metabolism, and may further support dosing practices in HCV-infected patients prescribed PTV-based therapy.
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Affiliation(s)
- Su Nwe San
- a Graduate School of Pharmaceutical Sciences , International University of Health and Welfare , Ohtawara , Japan
| | - Jun Matsumoto
- b Graduate School of Medicine, Dentistry and Pharmaceutical Sciences , Okayama University , Okayama , Japan
| | - Yumi Saito
- c Department of Pharmaceutical Sciences, School of Pharmacy , International University of Health and Welfare , Ohtawara , Japan
| | - Masako Koike
- c Department of Pharmaceutical Sciences, School of Pharmacy , International University of Health and Welfare , Ohtawara , Japan
| | - Hiroaki Sakaue
- d Department of Biochemistry, School of Pharmacy , Tokyo University of Pharmacy and Life Sciences , Tokyo , Japan
| | - Yoshinori Kato
- c Department of Pharmaceutical Sciences, School of Pharmacy , International University of Health and Welfare , Ohtawara , Japan
| | - Masachika Fujiyoshi
- b Graduate School of Medicine, Dentistry and Pharmaceutical Sciences , Okayama University , Okayama , Japan
| | - Noritaka Ariyoshi
- b Graduate School of Medicine, Dentistry and Pharmaceutical Sciences , Okayama University , Okayama , Japan
| | - Harumi Yamada
- a Graduate School of Pharmaceutical Sciences , International University of Health and Welfare , Ohtawara , Japan.,c Department of Pharmaceutical Sciences, School of Pharmacy , International University of Health and Welfare , Ohtawara , Japan
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14
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Li C, Fu Z, Yang Y, Yan J, Liu F, Zhao W, Zhang L, Wei L, Feng Z, Li D, Jiang LH. CRISPR/Cas9-mediated editing of GABRR2 gene in RGC-5 cells induces random exon deletion, exon splicing and new exon recruitment. Biochem Eng J 2018. [DOI: 10.1016/j.bej.2018.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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15
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Karlgren M, Simoff I, Keiser M, Oswald S, Artursson P. CRISPR-Cas9: A New Addition to the Drug Metabolism and Disposition Tool Box. Drug Metab Dispos 2018; 46:1776-1786. [PMID: 30126863 DOI: 10.1124/dmd.118.082842] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 08/03/2018] [Indexed: 02/06/2023] Open
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR associated protein 9 (Cas9), i.e., CRISPR-Cas9, has been extensively used as a gene-editing technology during recent years. Unlike earlier technologies for gene editing or gene knockdown, such as zinc finger nucleases and RNA interference, CRISPR-Cas9 is comparably easy to use, affordable, and versatile. Recently, CRISPR-Cas9 has been applied in studies of drug absorption, distribution, metabolism, and excretion (ADME) and for ADME model generation. To date, about 50 papers have been published describing in vitro or in vivo CRISPR-Cas9 gene editing of ADME and ADME-related genes. Twenty of these papers describe gene editing of clinically relevant genes, such as ATP-binding cassette drug transporters and cytochrome P450 drug-metabolizing enzymes. With CRISPR-Cas9, the ADME tool box has been substantially expanded. This new technology allows us to develop better and more predictive in vitro and in vivo ADME models and map previously underexplored ADME genes and gene families. In this mini-review, we give an overview of the CRISPR-Cas9 technology and summarize recent applications of CRISPR-Cas9 within the ADME field. We also speculate about future applications of CRISPR-Cas9 in ADME research.
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Affiliation(s)
- M Karlgren
- Department of Pharmacy (M.Ka., P.A.), Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Department of Pharmacy (I.S.), and Science for Life Laboratory (P.A.), Uppsala University, Uppsala, Sweden; and Department of Clinical Pharmacology, Center of Drug Absorption and Transport, University Medicine of Greifswald, Germany (M.Ke., S.O.)
| | - I Simoff
- Department of Pharmacy (M.Ka., P.A.), Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Department of Pharmacy (I.S.), and Science for Life Laboratory (P.A.), Uppsala University, Uppsala, Sweden; and Department of Clinical Pharmacology, Center of Drug Absorption and Transport, University Medicine of Greifswald, Germany (M.Ke., S.O.)
| | - M Keiser
- Department of Pharmacy (M.Ka., P.A.), Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Department of Pharmacy (I.S.), and Science for Life Laboratory (P.A.), Uppsala University, Uppsala, Sweden; and Department of Clinical Pharmacology, Center of Drug Absorption and Transport, University Medicine of Greifswald, Germany (M.Ke., S.O.)
| | - S Oswald
- Department of Pharmacy (M.Ka., P.A.), Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Department of Pharmacy (I.S.), and Science for Life Laboratory (P.A.), Uppsala University, Uppsala, Sweden; and Department of Clinical Pharmacology, Center of Drug Absorption and Transport, University Medicine of Greifswald, Germany (M.Ke., S.O.)
| | - P Artursson
- Department of Pharmacy (M.Ka., P.A.), Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Department of Pharmacy (I.S.), and Science for Life Laboratory (P.A.), Uppsala University, Uppsala, Sweden; and Department of Clinical Pharmacology, Center of Drug Absorption and Transport, University Medicine of Greifswald, Germany (M.Ke., S.O.)
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16
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Scheibner A, Remmel R, Schladt D, Oetting WS, Guan W, Wu B, Dorr C, Israni A, Jacobson PA. Tacrolimus Elimination in Four Patients With a CYP3A5*3/*3 CYP3A4*22/*22 Genotype Combination. Pharmacotherapy 2018; 38:e46-e52. [PMID: 29804290 PMCID: PMC6265082 DOI: 10.1002/phar.2131] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Cytochrome P450 3A5 (CYP3A5) and cytochrome P450 3A4 (CYP3A4) are the predominate enzymes responsible for tacrolimus metabolism. The presence of CYP3A4 and CYP3A5 genetic variants significantly affects tacrolimus clearance and dose requirements. CYP3A5*3 is a loss-of-function variant resulting in no CYP3A5 enzyme production. CYP3A4*22 is a variant that reduces production of functional CYP3A4 protein. Caucasians commonly carry these variant alleles but are very rarely homozygous for both CYP3A5*3 and CYP3A4*22. This report describes four kidney transplant recipients who carry a rare genotype combination (CYP3A5*3/*3 and CYP3A4*22/*22). These patients were identified from a larger cohort of Caucasian kidney transplant recipients (n=1366). To understand the significance of this genotype combination on tacrolimus troughs and doses, we compared these patients to recipients without this combination. Patients homozygous for both variants are at risk for profound reductions in metabolism of CYP3A substrates. A 342% and a 90.6% increase in the median dose-normalized trough was observed, when the CYP3A5*3/*3 and CYP3A4*22/*22 genotype combination was compared to the CYP3A5*1/*1 and CYP3A4*1/*1 genotype combination and the CYP3A5*3/*3 and CYP3A4*1/*1 genotype combination, respectively. These four individuals only required on average 2.5 mg/day of tacrolimus. Knowledge of these genotypes would be useful in selecting appropriate tacrolimus doses to avoid overexposure.
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Affiliation(s)
- Aileen Scheibner
- University of Minnesota College of Pharmacy, Minneapolis, Minnesota
| | - Rory Remmel
- Department of Medicinal Chemistry, University of Minnesota College of Pharmacy, Minneapolis, Minnesota
| | - David Schladt
- Minneapolis Medical Research Foundation, Minneapolis, Minnesota
| | - William S Oetting
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, Minnesota
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota
| | - Baolin Wu
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota
| | - Casey Dorr
- Division of Nephrology, Department of Medicine, Hennepin Country Medical Center, Minneapolis, Minnesota
| | - Ajay Israni
- Minneapolis Medical Research Foundation, Minneapolis, Minnesota.,Division of Nephrology, Department of Medicine, Hennepin Country Medical Center, Minneapolis, Minnesota.,Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Pamala A Jacobson
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota
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17
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Khoshnejad M, Brenner JS, Motley W, Parhiz H, Greineder CF, Villa CH, Marcos-Contreras OA, Tsourkas A, Muzykantov VR. Molecular engineering of antibodies for site-specific covalent conjugation using CRISPR/Cas9. Sci Rep 2018; 8:1760. [PMID: 29379029 PMCID: PMC5789018 DOI: 10.1038/s41598-018-19784-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 01/08/2018] [Indexed: 11/09/2022] Open
Abstract
Site-specific modification of antibodies has become a critical aspect in the development of next-generation immunoconjugates meeting criteria of clinically acceptable homogeneity, reproducibility, efficacy, ease of manufacturability, and cost-effectiveness. Using CRISPR/Cas9 genomic editing, we developed a simple and novel approach to produce site-specifically modified antibodies. A sortase tag was genetically incorporated into the C-terminal end of the third immunoglobulin heavy chain constant region (CH3) within a hybridoma cell line to manufacture antibodies capable of site-specific conjugation. This enabled an effective enzymatic site-controlled conjugation of fluorescent and radioactive cargoes to a genetically tagged mAb without impairment of antigen binding activity. After injection in mice, these immunoconjugates showed almost doubled specific targeting in the lung vs. chemically conjugated maternal mAb, and concomitant reduction in uptake in the liver and spleen. The approach outlined in this work provides a facile method for the development of more homogeneous, reproducible, effective, and scalable antibody conjugates for use as therapeutic and diagnostic tools.
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Affiliation(s)
- Makan Khoshnejad
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Jacob S Brenner
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - William Motley
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Hamideh Parhiz
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Colin F Greineder
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carlos H Villa
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oscar A Marcos-Contreras
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Tsourkas
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Vladimir R Muzykantov
- Department of Pharmacology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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18
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Dorr CR, Oetting WS, Jacobson PA, Israni AK. Genetics of acute rejection after kidney transplantation. Transpl Int 2017; 31:263-277. [PMID: 29030886 DOI: 10.1111/tri.13084] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 08/07/2017] [Accepted: 10/09/2017] [Indexed: 01/02/2023]
Abstract
Treatment of acute rejection (AR) following kidney transplantation has improved in recent years, but there are still limitations to successful outcomes. This review article covers literature in regard to recipient and donor genetics of AR kidney and secondarily of liver allografts. Many candidate gene and some genome-wide association studies (GWASs) have been conducted for AR in kidney transplantation. Genetic associations with AR in kidney and liver are mostly weak, and in most cases, the associations have not been reproducible. A limitation in the study of AR is the lack of sufficiently large populations that account for population stratification to study the AR phenotype which in this era occurs in <10% of transplants. Furthermore, the AR phenotype has been difficult to define and the definitions of classifications have evolved over time. Literature related to the pharmacogenomics of tacrolimus is robust and has been validated in many studies. Associations between gene expression and AR are emerging as markers of outcomes and AR classification. In the future, combinations of pretransplant genotype for AR risk prediction, genotype-based immune suppressant dosing, and pharmacogenomic markers to select AR maintenance or treatment and expression markers from biopsies may provide valuable clinical tools for guiding treatment.
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Affiliation(s)
- Casey R Dorr
- Department of Nephrology, Minneapolis Medical Research Foundation, Minneapolis, MN, USA.,Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - William S Oetting
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, USA
| | - Pamala A Jacobson
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, USA
| | - Ajay K Israni
- Department of Nephrology, Minneapolis Medical Research Foundation, Minneapolis, MN, USA.,Department of Medicine, University of Minnesota, Minneapolis, MN, USA.,Department of Medicine, Hennepin County Medical Center, Minneapolis, MN, USA
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