Methyl conjugation is an important pathway in the metabolism of many drugs, other xenobiotic compounds, neurotransmitters and hormones. During the past two decades, the applicant's laboratory has systematically explored the pharmacogenetics of enzymes that catalyze methylation in humans. As a result, we have discovered and characterized--both biochemically and at the molecular level--a series of functionally significant genetic polymorphisms for methyltransferase enzymes in humans. One of those, the genetic polymorphism for thiopurine methyltransferase (TPMT), represents a striking example of the potential contribution of pharmacogenetics to medicine. We have also discovered and characterized genetic polymorphisms for other enzymes that catalyze S- and N-methylation, including histamine N-methyltransferase (HNMT) and thiol methyltransferase (TMT). During the preceding funding cycle for this grant, we successfully cloned cDNAs and genes for both TPMT and HNMT in humans, discovered the molecular basis for functionally significant genetic polymorphisms within exons of those enzymes, and applied those observations to clinical medicine. We now propose to extend our studies of TPMT and HNMT molecular pharmacogenetics to include functionally significant genetic polymorphisms outside of the exons of the humans TPMT and HNMT genes. We also propose to expand our methylation pharmacogenetics research in humans to include studies of molecular mechanisms involved in the genetic polymorphism for TMT, a membrane-bound enzyme that catalyzes the S-methylation of important sulfhydryl drugs such as captopril and D-penicillamine. The results of these experiments will contribute to our understanding of molecular mechanisms responsible for the genetic regulation of enzymes that catalyze the methyl conjugation of drugs, other xenobiotic compounds and neurotransmitters in humans and may make it possible to predict individual variations in the methylation and, therefore, variation in the toxicity or therapeutic efficiency of substrates for these enzymes.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM028157-19
Application #
2852343
Study Section
Pharmacology A Study Section (PHRA)
Project Start
1990-12-01
Project End
2003-03-31
Budget Start
1999-04-01
Budget End
2000-03-31
Support Year
19
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
City
Rochester
State
MN
Country
United States
Zip Code
55905
Qin, Sisi; Liu, Duan; Kohli, Manish et al. (2018) TSPYL Family Regulates CYP17A1 and CYP3A4 Expression: Potential Mechanism Contributing to Abiraterone Response in Metastatic Castration-Resistant Prostate Cancer. Clin Pharmacol Ther 104:201-210
Liu, Duan; Qin, Sisi; Ray, Bamiki et al. (2018) Single Nucleotide Polymorphisms (SNPs) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction. Drug Metab Dispos 46:1372-1381
Gonzalez-Mercado, Velda J; Fridley, Brooke L; Saligan, Leorey N (2018) Sestrin family of genes and their role in cancer-related fatigue. Support Care Cancer 26:2071-2074
Wang, Liewei; Ingle, James; Weinshilboum, Richard (2018) Pharmacogenomic Discovery to Function and Mechanism: Breast Cancer as a Case Study. Clin Pharmacol Ther 103:243-252
Athreya, Arjun P; Gaglio, Alan J; Cairns, Junmei et al. (2018) Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer. IEEE Trans Nanobioscience 17:251-259
Ho, Ming-Fen; Lummertz da Rocha, Edroaldo; Zhang, Cheng et al. (2018) TCL1A, a Novel Transcription Factor and a Coregulator of Nuclear Factor ?B p65: Single Nucleotide Polymorphism and Estrogen Dependence. J Pharmacol Exp Ther 365:700-710
Liu, Duan; Ray, Balmiki; Neavin, Drew R et al. (2018) Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics. Transl Psychiatry 8:10
Athreya, Arjun; Iyer, Ravishankar; Neavin, Drew et al. (2018) Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder. IEEE Comput Intell Mag 13:20-31
Yu, Jia; Qin, Bo; Moyer, Ann M et al. (2018) DNA methyltransferase expression in triple-negative breast cancer predicts sensitivity to decitabine. J Clin Invest 128:2376-2388
Ho, Ming-Fen; Correia, Cristina; Ingle, James N et al. (2018) Ketamine and ketamine metabolites as novel estrogen receptor ligands: Induction of cytochrome P450 and AMPA glutamate receptor gene expression. Biochem Pharmacol 152:279-292

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