Methyl conjugation is an important pathway in the biotransformation of many drugs, other xenobiotic compounds, neurotransmitters and hormones. During the past two decades, the applicant's laboratory has systematically explored the pharmacogenetics and pharmacogenomics of enzymes that catalyze the methyl conjugation of """"""""small molecules"""""""". In pursuit of that goal, we have applied the techniques of molecular biology and genomics to clone and characterize genes encoding methyltransferase enzymes in humans and other species and have then identified both single nucleotide polymorphisms (SNPs) and other DNA sequence variations of functional importance for individual variation in methylation. That approach has resulted in the identification of a series of common, medically and biologically significant genetic polymorphisms for methyltransferase enzymes. Of special importance are the thiopurine S-methyltransferase (TPMT), histamine N-methyltransferase (HNMT) and catechol O-methyltransferase (COMT) genetic polymorphisms that we discovered and characterized. All of these common """"""""pharmacogenetic"""""""" variations contribute to individual differences in response to drug therapy and/or the pathophysiology of human disease. These polymorphisms involve nonsynonymous cSNPs in the open reading frames (ORFs) of the genes encoding TPMT, HNMT and COMT - i.e., SNPs that change encoded amino acids. Furthermore, the variant alleles for all three of these common genetic polymorphisms result in decreased levels of enzyme protein. We now propose to explore molecular mechanisms by which nonsynonymous cSNPs result in decreases in the quantity of enzyme protein - a common functional consequence of this type of polymorphism, not just for enzymes that catalyze methylation but also for other drug-metabolizing enzymes. We also propose to move our studies of methylation pharmacogenetics """"""""beyond the ORF"""""""" to include the functional characterization of common genetic variation within the 5'-flanking regions of TPMT and COMT. The results of these experiments will increase our understanding of molecular genetic mechanisms responsible for functionally significant individual variation in methyl conjugation, and they will help make it possible to predict individual variations in the methylation and, therefore, the effects of drugs, xenobiotics, neurotransmitters and hormones that are metabolized by this phase II pathway of biotransformation. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM028157-25
Application #
6881989
Study Section
Pharmacology A Study Section (PHRA)
Program Officer
Long, Rochelle M
Project Start
1996-07-01
Project End
2007-04-30
Budget Start
2005-05-01
Budget End
2006-04-30
Support Year
25
Fiscal Year
2005
Total Cost
$347,194
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
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
Gonzalez, Velda J; Abbas-Aghababazadeh, Farnoosh; Fridley, Brooke L et al. (2018) Expression of Sestrin Genes in Radiotherapy for Prostate Cancer and Its Association With Fatigue: A Proof-of-Concept Study. Biol Res Nurs 20:218-226

Showing the most recent 10 out of 246 publications