Citations 141

Metabolomics: A Global Biochemical Approach to Drug Response and Disease

Annual Review of Pharmacology and Toxicology | January 9, 2008 | Volume: 48 | Issue: 1 | Pages: 653-683

10.1146/annurev.pharmtox.48.113006.094715 | PMID 18184107

Metabolomics is the study of metabolism at the global level. This rapidly developing new discipline has important potential implications for pharmacologic science. The concept that metabolic state is representative of the overall physiologic status of the organism lies at the heart of metabolomics. Metabolomic studies capture global biochemical events by assaying thousands of small molecules in cells, tissues, organs, or biological fluids—followed by the application of informatic techniques to define metabolomic signatures. Metabolomic studies can lead to enhanced understanding of disease mechanisms and to new diagnostic markers as well as enhanced understanding of mechanisms for drug or xenobiotic effect and increased ability to predict individual variation in drug response phenotypes (pharmacometabolomics). This review outlines the conceptual basis for metabolomics as well as analytical and informatic techniques used to study the metabolome and to define metabolomic signatures. It also highlights potential metabolomic applications to pharmacology and clinical pharmacology.
Glutathione S -Transferase T1 and M1: Gene Sequence Variation and Functional Genomics

Clinical Cancer Research | December 3, 2007 | Volume: 13 | Issue: 23 | Pages: 7207-7216

10.1158/1078-0432.ccr-07-0635 | PMID 18056202

Abstract Purpose: The glutathione S-transferases (GSTs) catalyze the glutathione conjugation of reactive electrophiles, including carcinogens and many antineoplastic drugs. GSTT1 and GSTM1 are polymorphically deleted, but the full range of genetic variation in these two genes has not yet been explored. We set out to systematically identify common polymorphisms in GSTT1 and GSTM1, followed by functional genomic studies. Experimental Design: First, multiplex PCR was used to determine GSTT1 and GSTM1 copy number in 400 DNA samples (100 each from 4 ethnic groups). Exons, splice junctions, and 5′-flanking regions (5′-FR) were then resequenced using DNA samples that contained at least one copy of GSTT1 or GSTM1. Results: Gene deletion frequencies among ethnic groups were from 33.5% to 73.5% for GSTT1 and from 50.5% to 78.0% for GSTM1. GSTT1 deletion data correlated with the results of mRNA microarray expression studies. The 18 single nucleotide polymorphisms (SNP) observed in GSTT1 included three nonsynonymous coding SNPs (cSNPs) and one single-nucleotide deletion, whereas the 51 GSTM1 SNPs included two nonsynonymous cSNPs. Two of the GSTT1 nonsynonymous cSNPs resulted in decreases in levels of immunoreactive protein to 56% and 12% of wild type (WT), whereas those in GSTM1 resulted in modest increases in protein levels. Reporter gene assays showed that one GSTT1 5′-FR haplotype, with a frequency of 32% in African-American subjects, resulted in an increase in transcription in JEG-3 cells to 351% of that for the WT sequence, and one GSTM1 5′-FR haplotype resulted in an increase in transcription in JEG-3 cells to 129% of WT. Conclusions: These observations suggest that functionally significant pharmacogenomic variation beyond GSTT1 and GSTM1 gene deletion may contribute to carcinogenesis or individual variation in antineoplastic drug therapy response.
Genetic Nondiscrimination Legislation: A Critical Prerequisite for Pharmacogenomics Data Sharing

Pharmacogenomics | April 27, 2007 | Volume: 8 | Issue: 5 | Pages: 519-519

10.2217/14622416.8.5.519 | PMID 17465717

A Comprehensive Examination of CYP19 Variation and Breast Density

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2007 | Volume: 16 | Issue: 3 | Pages: 623-625

10.1158/1055-9965.epi-06-0781 | PMID 17372263

Methylenetetrahydrofolate Reductase Haplotype Tag Single-Nucleotide Polymorphisms and Risk of Breast Cancer

Cancer Epidemiology, Biomarkers & Prevention | November 21, 2006 | Volume: 15 | Issue: 11 | Pages: 2322-2324

10.1158/1055-9965.epi-06-0318 | PMID 17119067

Serum Dopamine-β-Hydroxylase Activity: Sibling-Sibling Correlation

Science | October 5, 2006 | Volume: 181 | Issue: 4103 | Pages: 943-945

10.1126/science.181.4103.943 | PMID 4730445

Dopamine-β-hydroxylase activity is released into the blood with catecholamines from the adrenal medulla and sympathetic nerves. This enzyme activity has been measured in the blood of 317 normal children and 227 normal adults. A significant sibling-sibling correlation of serum dopamine-β-hydroxylase values was found in the 94 sibling pairs tested. Frequency distributions of serum enzyme values in both children and adults suggest the existence of two populations with regard to serum activity of this enzyme.
Pharmacogenetics and Pharmacogenomics: Development, Science, and Translation

Annual Review of Genomics and Human Genetics | July 7, 2006 | Volume: 7 | Issue: 1 | Pages: 223-245

10.1146/annurev.genom.6.080604.162315 | PMID 16948615

Pharmacogenetics and pharmacogenomics involve the study of the role of inheritance in individual variation in drug response, a phenotype that varies from potentially life-threatening adverse drug reactions to equally serious lack of therapeutic efficacy. This discipline evolved from the convergence of rapid advances in molecular pharmacology and genomics. Originally, pharmacogenetic studies focused on monogenic traits, often involving genetic variation in drug metabolism. However, contemporary studies increasingly involve entire “pathways” encoding proteins that influence both pharmacokinetics—factors that influence the concentration of a drug reaching its target(s)—and pharmacodynamics, the drug target itself, as well as genome-wide approaches. Pharmacogenomics is also increasingly moving across the “translational interface” into the clinic and is being incorporated into the drug development process and the governmental regulation of that process. However, significant challenges remain to be overcome if pharmacogenetics-pharmacogenomics is to achieve its full potential as a major medical application of genomic science.
Gemcitabine Pharmacogenomics: Cytidine Deaminase and Deoxycytidylate Deaminase Gene Resequencing and Functional Genomics

Clinical Cancer Research | March 21, 2006 | Volume: 12 | Issue: 6 | Pages: 1794-1803

10.1158/1078-0432.ccr-05-1969 | PMID 16551864

Abstract Purpose: Gemcitabine is a nucleoside analogue with activity against solid tumors. Gemcitabine metabolic inactivation is catalyzed by cytidine deaminase (CDA) or, after phosphorylation, by deoxycytidylate deaminase (DCTD). We set out to study the pharmacogenomics of CDA and DCTD. Experimental Design: The genes encoding CDA and DCTD were resequenced using DNA from 60 African American and 60 Caucasian American subjects. Expression constructs were created for nonsynonymous coding single nucleotide polymorphisms (cSNP) and reporter gene constructs were created for 5′-flanking region polymorphisms. Functional genomic studies were then conducted after the transfection of mammalian cells. Results: CDA resequencing revealed 17 polymorphisms, including one common nonsynonymous cSNP, 79 A>C (Lys27Gln). Recombinant Gln27 CDA had 66 ± 5.1% (mean ± SE) of the wild-type (WT) activity for gemcitabine but without a significant decrease in level of immunoreactive protein. The apparent Km (397 ± 40 μmol/L) for the Gln27 allozyme was significantly higher than that for the WT (289 ± 20 μmol/L; P < 0.025). CDA 5′-flanking region reporter gene studies showed significant differences among 5′-flanking region haplotypes in their ability to drive transcription. There were 29 SNPs in DCTD, including one nonsynonymous cSNP, 172 A>G (Asn58Asp), in Caucasian American DNA. Recombinant Asp58 DCTD had 11 ± 1.4% of WT activity for gemcitabine monophosphate with a significantly elevated level of immunoreactive protein. No DCTD polymorphisms were observed in the initial 500 bp of the 5′-flanking region. Conclusions: These results suggest that pharmacogenomic variation in the deamination of gemcitabine and its monophosphate might contribute to variation in therapeutic response to this antineoplastic agent.
Human Aromatase: Gene Resequencing and Functional Genomics

Cancer Research | December 1, 2005 | Volume: 65 | Issue: 23 | Pages: 11071-11082

10.1158/0008-5472.can-05-1218 | PMID 16322257

Abstract Aromatase [cytochrome P450 19 (CYP19)] is a critical enzyme for estrogen biosynthesis, and aromatase inhibitors are of increasing importance in the treatment of breast cancer. We set out to identify and characterize genetic polymorphisms in the aromatase gene, CYP19, as a step toward pharmacogenomic studies of aromatase inhibitors. Specifically, we “resequenced” all coding exons, all upstream untranslated exons plus their presumed core promoter regions, all exon-intron splice junctions, and a portion of the 3′-untranslated region of CYP19 using 240 DNA samples from four ethnic groups. Eighty-eight polymorphisms were identified, resulting in 44 haplotypes. Functional genomic studies were done with the four nonsynonymous coding single nucleotide polymorphisms (cSNP) that we observed, two of which were novel. Those cSNPs altered the following amino acids: Trp39Arg, Thr201Met, Arg264Cys, and Met364Thr. The Cys264, Thr364, and double variant Arg39Cys264 allozymes showed significant decreases in levels of activity and immunoreactive protein when compared with the wild-type (WT) enzyme after transient expression in COS-1 cells. A slight decrease in protein level was also observed for the Arg39 allozyme, whereas Met201 displayed no significant changes in either activity or protein level when compared with the WT enzyme. There was also a 4-fold increase in apparent Km value for Thr364 with androstenedione as substrate. Of the recombinant allozymes, only the double mutant (Arg39Cys264) displayed a significant change from the WT enzyme in inhibitor constant for the aromatase inhibitors exemestane and letrozole. These observations indicate that genetic variation in CYP19 might contribute to variation in the pathophysiology of estrogen-dependent disease.
Pharmacogenomics and reducing the frequency of adverse drug events

Pharmacogenomics | December 15, 2003 | Volume: 4 | Issue: 1 | Pages: 1-4

10.1517/phgs.4.1.1.22588 | PMID 12517278