Comparative analysis of N-acetylation polymorphism in humans as determined by phenotyping and genotyping

The N-acetylation polymorphisms of volunteers from the Moscow population analyzed by phenotyping and genotyping have been compared. The ratios between the proportions of fast acetylators (FAs) and slow acetylators (SAs) estimated by phenotyping and genotyping do not differ significantly from each other (47 and 44%, respectively). The absolute acetylation rate widely varies in both FAs and SAs. The NAT2 genotype and allele frequencies in the population sample have been calculated. The most frequent alleles are NAT2*4 (a "fast" allele), NAT2*5, and NAT2*6 ("slow" alleles); the most frequent genotypes are NAT2*5/*5, NAT2*4/*6, and NAT2*4/*5. Comparative analysis of N-acetylation polymorphism estimated by phenotyping and genotyping in the same subjects has shown a complete concordance between the phenotype and genotype in only 62 out of 75 subjects (87%). Comparative characteristics and presumed applications of the two approaches (quantitative estimation of acetylation rate and qualitative determination of the acetylator genotype) to the identification of individual acetylation status are presented.     

Comparative analysis of N-acetylation polymorphism in humans as determined by phenotyping and genotyping

The N-acetylation polymorphisms of volunteers from the Moscow population analyzed by phenotyping and genotyping have been compared. The ratios between the proportions of fast acetylators (FAs) and slow acetylators (SAs) estimated by phenotyping and genotyping do not differ significantly from each other (47 and 44%, respectively). The absolute acetylation rate widely varies in both FAs and SAs. The NAT2 genotype and allele frequencies in the population sample have been calculated. The most frequent alleles are NAT2*4 (a “fast” allele), NAT2*5, and NAT2*6 (“slow” alleles); the most frequent genotypes are NAT2*5/*5, NAT2*4/*6, and NAT2*4/*5. Comparative analysis of N-acetylation polymorphism estimated by phenotyping and genotyping in the same subjects has shown a complete concordance between the phenotype and genotype in only 62 out of 75 subjects (87%). Comparative characteristics and presumed applications of the two approaches (quantitative estimation of acetylation rate and qualitative determination of the acetylator genotype) to the identification of individual acetylation status are presented.     

The Differential Effect of NAT2 Variant Alleles Permits Refinement in Phenotype Inference and Identifies a Very Slow Acetylation Genotype

Indirect evidences suggest that acetylation phenotype categories are heterogeneous and that subcategories, related to specific NAT2 variant alleles might exist. We analyzed the in vivo acetylation phenotype and genotype in 504 north-American subjects of Caucasian origin. The analyses of the SNPs rs1801280 and rs1799930 allowed the discrimination of five categories with different acetylation status within the study population. These categories are related to the distinct effect of NAT2 alleles on the acetylation status in vivo and to the occurrence of a gene-dose effect. These five phenotype categories, from higher to lower acetylation capacity, correspond to the genotypes NAT2*4/*4, NAT2*4/*5 or *4/*6, NAT2*5/*5, NAT2*5/*6 and NAT2*6/*6 (p≤0.001 for all comparisons). The NAT2*6/*6 genotype correspond to a phenotype category of very-slow acetylators. The refinement in phenotype prediction may help to identify risks associated to phenotype subcategories, and warrants the re-analysis of previous studies that may have overlooked phenotype subcategory-specific risks.     

Effects of N-acetyl transferase 1 and 2 polymorphisms on bladder cancer risk in Caucasians

Cigarette smoking is the predominant risk factor for bladder cancer (BC). Major carcinogens present in tobacco smoke include a number of aromatic and heterocyclic amines. Two distinct N-acetyl transferase (NAT) enzymes, NAT1 and NAT2, play important roles in the bio-activation and detoxification of these carcinogens. Genes encoding NAT1 and NAT2 are highly polymorphic among human populations, and these polymorphisms result in rapid or slow acetylator phenotypes. Recent studies have suggested that variant alleles leading to slow acetylation by the NAT2 enzyme or rapid acetylation by the NAT1 enzyme constitute possible risk factors for bladder cancer. In this case-control study, we sought to determine whether NAT1 and NAT2 polymorphisms are associated with bladder cancer risk in the largest sample size to date. PCR-RFLP assay was used to determine the presence of NAT1 and NAT2 polymorphisms in 507 Caucasian BC patients and 513 age-, gender-, and ethnicity-matched healthy controls. Overall, we found no significant association between BC risk and NAT1 NAT1*10 allele (OR=0.95; 95% CI 0.73-1.25). However, our data suggested that NAT2 slow acetylator genotypes were associated with a significant increased risk of BC (OR=1.31; 95% CI, 1.01-1.70). This elevated risk appeared more evident in older individuals (OR=1.41; 95% CI, 1.01-1.98) than in younger individuals (OR=1.15; 95% CI, 0.76-1.74). Moreover, the risk was greater for heavy smokers (OR=2.11; 95% CI, 1.33-3.35) than light smokers (OR=0.96; 95% CI, 0.61-1.53) and never smokers (OR=1.23; 95% CI, 0.79-1.90). Finally, a joint effect between NAT2 slow acetylators and heavy smokers was observed. Using never smokers with NAT2 rapid acetylator genotypes as a reference group, heavy smokers with NAT2 slow acetylator genotypes showed an over six-fold increase in BC risk. In a multiplicative interaction model, the interaction term was statistically significant (P=0.02). Our data suggest that having a NAT2 slow acetylator genotype is a significant risk factor for BC, particularly in smokers and older individuals.     

Genetic profile of the arylamine N-acetyltransferase 2 coding gene among individuals from two different regions of Brazil

Arylamine N-acetyltranferase 2 is the main enzyme responsible for the isoniazid metabolization into hepatotoxic intermediates and the degree of hepatotoxicity severity has been attributed to genetic variability in the NAT2 gene. The main goal of this study was to describe the genetic profile of the NAT2 gene in individuals from two different regions of Brazil: Rio de Janeiro and Goiás States. Therefore, after preparation of DNA samples from 404 individuals, genotyping of the coding region of NAT2 was performed by direct PCR sequencing. Thirteen previously described SNPs were detected in these Brazilian populations, from which seven: 191 G>A; 282 C>T; 341 T>C; 481 C>T; 590 G>A; 803 A>G and 857 G>A are the most frequent in other populations. The presence of so-called ethnic-specific SNPs in our population is in accordance with the Brazilians' multiple ancestry. Upon allele and genotype analysis, the most frequent NAT2 alleles were respectively NAT2*5B (33%), NAT2*6A (26%) and NAT2*4 (20%) being NAT2*5/*5 the more prevalent genotype (31.7%). These results clearly demonstrate the predominance in the studied Brazilian groups of NAT2 alleles associated with slow over the fast and intermediate acetylator genotypes. Additionally, in Rio de Janeiro, a significantly higher frequency of intermediate acetylation status was found when compared to Goiás (42.5% versus 25%) (p=0.05), demonstrating that different regions of a country with a population characterized by a multi-ethnic ancestry may present a large degree of variability in NAT2 allelic frequencies. This finding has implications in the determination of nationwide policies for use of appropriate anti-TB drugs.     

Arylamine N-acetyltransferase (NAT2) mutations and their allelic linkage in unrelated Caucasian individuals: correlation with phenotypic activity.

The polymorphic arylamine N-acetyltransferase (NAT2; EC 2.3.1.5) is supposed to be a susceptibility factor for several drug side effects and certain malignancies. A group of 844 unrelated German subjects was genotyped for their acetylation type, and 563 of them were also phenotyped. Seven mutations of the NAT2 gene were evaluated by allele-specific PCR (mutation 341C to T) and PCR-RFLP for mutations at nt positions 191, 282, 481, 590, 803, and 857. From the mutation pattern eight different alleles, including the wild type coding for rapid acetylation and seven alleles coding for slow phenotype, were determined. Four hundred ninety-seven subjects had a genotype of slow acetylation (58.9%; 95% confidence limits 55.5%-62.2%). Phenotypic acetylation capacity was expressed as the ratio of 5-acetylamino-6-formylamino-3-methyluracil and 1-methylxanthine in urine after caffeine intake. Some 6.7% of the cases deviated in genotype and phenotype, but sequencing DNA of these probands revealed no new mutations. Furthermore, linkage pattern of the mutations was always confirmed, as tested in 533 subjects. In vivo acetylation capacity of homozygous wild-type subjects (NAT2*4/*4) was significantly higher than in heterozygous genotypes (P = .001). All mutant alleles showed low in vivo acetylation capacities, including the previously not-yet-defined alleles *5A, *5C, and *13. Moreover, distinct slow genotypes differed significantly among each other, as reflected in lower acetylation capacity of *6A, *7B, and *13 alleles than the group of *5 alleles. The study demonstrated differential phenotypic activity of various NAT2 genes and gives a solid basis for clinical and molecular-epidemiological investigations.     

Haplotypes of single cancer driver genes and their local ancestry in a highly admixed long-lived population of Northeast Brazil

Admixed populations have not been examined in detail in cancer genetic studies. Here, we inferred the local ancestry of cancer-associated single nucleotide polymorphisms (SNPs) and haplotypes of a highly admixed Brazilian population. SNP array was used to genotype 73 unrelated individuals aged 80-102 years. Local ancestry inference was performed by merging genotyped regions with phase three data from the 1000 Genomes Project Consortium using RFmix. The average ancestry tract length was 9.12-81.71 megabases. Strong linkage disequilibrium was detected in 48 haplotypes containing 35 SNPs in 10 cancer driver genes. All together, 19 risk and eight protective alleles were identified in 23 out of 48 haplotypes. Homozygous individuals were mainly of European ancestry, whereas heterozygotes had at least one Native American and one African ancestry tract. Native-American ancestry for homozygous individuals with risk alleles for HNF1B, CDH1, and BRCA1 was inferred for the first time. Results indicated that analysis of SNP polymorphism in the present admixed population has a high potential to identify new ancestry-associated alleles and haplotypes that modify cancer susceptibility differentially in distinct human populations. Future case-control studies with populations with a complex history of admixture could help elucidate ancestry-associated biological differences in cancer incidence and therapeutic outcomes.     

Study of NAT2 genetic polymorphism in West African subjects: example of an healthy non-smoker Senegalese population

The NAT2 genetic polymorphism determines the individual acetylator status and, consequently, the capacity to metabolize, or not, drugs and xenobiotics which are substrates of NAT2. As the nature and frequency of the NAT2 polymorphisms vary remarkably between populations of different ethnic origins, genotyping strategies used to predict the acetylation phenotype need to be adapted for each particular population regarding their genetic backgrounds at this locus. As few data on the genetic polymorphism of NAT2 are available in the Senegalese population, we performed an extensive identification of NAT2 variants in 105 healthy non-smoker Senegalese subjects by direct PCR sequencing of the coding region. Eleven previously described SNPs were identified in this Senegalese population. Upon allele analysis, the four most frequent alleles were of the NAT2*5- (35.7?%), NAT2*6- (21.0?%), NAT2*12- (16.7?%) and NAT2*14- (10.0?%) type, the remaining alleles, including the wild-type NAT2*4, having each a frequency lower than 10?%. According to the observed genotypes, 51 and 50 subjects were predicted to be of the rapid (48.6?%) and slow (47.6?%) acetylator phenotype, respectively, while four individuals (3.8?%) were considered of unknown phenotype as they carry at least one allele with a yet unknown functional effect. These baseline data would be of particular interest to set up an efficient genotyping strategy to predict the acetylation status of Senegalese patients with tuberculosis and, thus, to optimize their isoniazid treatment.     

Influence of GSTM1 and NAT2 genotypes on the relationship between personal exposure to PAH and biomarkers of internal dose

This study examined the interaction of glutathione S-transferase (GSTM1) and N acetyltransferase (NAT2) genotypes and personal exposure to carcinogenic polycyclic aromatic hydrocarbons (PAH) with biomarkers of exposure in a cohort of 51 non-smoking women from Bohemia, CZ. The biomarkers included urinary PAH metabolities and white blood cell DNA adducts. Personal PAH exposure was significantly correlated with urinary PAH metabolites for all individuals (r 0.36, p 0.01, n 46). After stratifying by genetic polymorphism the correlation between personal PAH exposure and urinary PAH metabolites increased for individuals with NAT2 slow acetylators (r 0.58, p 0.001, n 29) and the combination of GSTM1 null and NAT2 slow acetylators (r 0.60, p 0.01, n 16). DNA adduct levels were not significantly correlated with personal PAH exposure (r 0.16, p 0.32, n 51), unless restricted to individuals with the GSTM1 gene (r 0.59, p 0.005, n 21). Personal exposure data were essential for elucidating the possible effect of genotypes on the relationship between PAH exposure and these two classes of internal biomarkers. \[This abstract does not necessarily reflect EPA policy.]     

Influence of CYP2C9, GSTM1, GSTT1 and NAT2 genetic polymorphisms on DNA damage in workers occupationally exposed to organophosphate pesticides

Previous studies have revealed that organophosphate pesticides (OPs) are primarily metabolized by xenobiotic metabolizing enzymes (XMEs). Very few studies have explored genetic polymorphisms of XMEs and their association with DNA damage in pesticides-exposed workers. Present study was designed to determine the influence of CYP2C9, GSTM1, GSTT1 and NAT2 genetic polymorphisms on DNA damage in workers occupationally exposed to OPs. We examined 268 subjects including 134 workers occupationally exposed to OPs and an equal number of normal healthy controls. The DNA damage was evaluated using alkaline comet assay and genotyping was done using individual polymerase chain reaction (PCR) or polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Acetylcholinesterase and paraoxonase activity were found to be significantly lowered in workers as compared to control subjects which were analyzed as biomarkers of toxicity due to OPs exposure (p<0.001). Workers showed significantly higher DNA tail moment (TM) compared to control subjects (14.32±2.17 vs. 6.24±1.37 tail % DNA, p<0.001). GSTM1 null genotype was found to influence DNA TM in workers (p<0.05). DNA TM was also found to be increased with concomitant presence of NAT2 slow acetylation and CYP2C9*3/*3 or GSTM1 null genotypes (p<0.05). DNA TM was found increased in NAT2 slow acetylators with mild and heavy smoking habits in control subjects and workers, respectively (p<0.05). The results of this study suggest that GSTM1 null genotypes, and an association of NAT2 slow acetylation genotypes with CYP2C9*3/*3 or GSTM1 null genotypes may modulate DNA damage in workers occupationally exposed to OPs.     

Influence of GSTM1 and NAT2 genotypes on the relationship between personal exposure to PAH and biomarkers of internal dose

This study examined the interaction of glutathione S-transferase (GSTM1) and N acetyltransferase (NAT2) genotypes and personal exposure to carcinogenic polycyclic aromatic hydrocarbons (PAH) with biomarkers of exposure in a cohort of 51 non-smoking women from Bohemia, CZ. The biomarkers included urinary PAH metabolities and white blood cell DNA adducts. Personal PAH exposure was significantly correlated with urinary PAH metabolites for all individuals ( r 0.36, p 0.01, n 46). After stratifying by genetic polymorphism the correlation between personal PAH exposure and urinary PAH metabolites increased for individuals with NAT2 slow acetylators ( r 0.58, p 0.001, n 29) and the combination of GSTM1 null and NAT2 slow acetylators ( r 0.60, p 0.01, n 16). DNA adduct levels were not significantly correlated with personal PAH exposure ( r 0.16, p 0.32, n 51), unless restricted to individuals with the GSTM1 gene ( r 0.59, p 0.005, n 21). Personal exposure data were essential for elucidating the possible effect of genotypes on the relationship between PAH exposure and these two classes of internal biomarkers. \[This abstract does not necessarily reflect EPA policy.]     

Amantadine acetylation may be effected by acetyltransferases other than NAT1 or NAT2

Amantadine is a drug with a primary amino group, and consequently a likely candidate for metabolism by acetylation. This study assessed the possibility that a person's polymorphic (NAT2) acetylator phenotype could be used to predict the extent of amantadine acetylation. Thirty-eight normal, healthy volunteers were NAT2 acetylator phenotyped with sulfapyridine. Of the six fastest (75-86%) and six slowest (34-40%) sulfapyridine acetylators, two and three, respectively, had acetylamantadine present (18-338 microg) in the 8-h urine collection. There was no correlation between NAT2 acetylator phenotype and amantadine acetylation (p<0.5), and no difference in the total urine amantadine excreted over 8 h between acetylators and nonacetylators (28.3+/-9.7 vs. 30.4+/-9.6 mg, respectively, mean +/- SD). Acetylamantadine represented 0.1-1.5% (median 0.5%) of urinary drug content over 8 h. Our data confirm that amantadine is acetylated in humans and demonstrate for the first time that the extent is not correlated with NAT2 acetylator phenotype. Parallel in vitro enzyme studies indicate the possibility that neither NATI nor NAT2 is responsible for acetylation of amantadine.     

Polymorphisms of arylamine N-acetyltransferase2 and risk of lung and colorectal cancer

The arylamine N-acetyltransferase 2 (NAT2) enzymes detoxify a wide range of naturally occurring xenobiotics including carcinogens and drugs. Point mutations in the NAT2 gene result in the variant alleles M1 (NAT2 *5A), M2 (NAT2*6A), M3 (NAT2*7) and M4 (NAT2 *14A) from the wild-type WT (NAT2 *4) allele. The current study was aimed at screening genetic polymorphisms of NAT2 gene in 49 lung cancer patients, 54 colorectal cancer patients and 99 cancer-free controls, using PCR-RFLP. There were significant differences in allele frequencies between lung cancer patients and controls in the WT, M2 and M3 alleles (p < 0.05). However, only M2 and M3 allele frequencies were different between colorectal cancer patients and controls (p < 0.05). There was a marginal significant difference in the distribution of rapid and slow acetylator genotypes between lung cancer patients and controls (p = 0.06 and p = 0.05, respectively), but not between colorectal cancer patients and controls (p = 1.0 and p = 0.95, respectively). Risk of lung cancer development was found to be lower in slow acetylators [odds ratio (OR): 0.51, 95% confidence interval (95% CI): 0.25, 1.02, p-value = 0.07]. No effect was observed in case of colorectal cancer. Our results showed that NAT2 genotypes and phenotypes might be involved in lung cancer but not colorectal cancer susceptibility in Jordan.     

Identification of functionally significant mutations in NAT2 gene using biological microchips

The product of gene NAT2 (N-acetyltransferase 2) is involved in the biotransformation system and participates in detoxication of some arylamine derivatives (in particular 2-aminofluorene, 4-aminobiphenyl and 4-naphthylamine) which are strongly mutagenic and carcinogenic. It also renders toxicological and pharmacological influence on a metabolism of medical products metabolized by the enzyme. We developed a microchip for detection of 16 functionally significant mutations coding 36 alleles of gene NAT2. Combinations of these alleles allow us to reveal more than 660 genotypes, which can be divided into four groups according acetylation phenotype: "fast" (R/R), "intermediate" (R/S), "slow" (S/S) and group with average or slow acetylating (R/S or S/S) alleles. The groups "R/S or S/S" include alleles, formed by a combination of 7 mutations (191G/A, 282C/T, 341T/C, 481C/T, 590G/A, 803A/G, 857G/A), theirs cis-trans position can be revealed by restriction analysis. In 37 of 71 DNA samples we unequivocally defined NAT2-genotypes, and other 34 samples have been characterized by more than two genotypes. 16 samples out of 34 had acetylation phenotype of group "R/S or S/S", which is characterized by the following combination of mutations: 282C/T, 341T/C, 481C/T, 590G/A and 803A/G. Thus, the developed biochip is a convenient screening method for primary detection of the majority of polymorphic replacements in gene NAT2.     

Novel human N-acetyltransferase 2 alleles that differ in mechanism for slow acetylator phenotype

Three novel human NAT2 alleles (NAT2*5D, NAT2*6D, and NAT2*14G) were identified and characterized in a yeast expression system. The common rapid (NAT2*4) and slow (NAT2*5B) acetylator human NAT2 alleles were also characterized for comparison. The novel recombinant NAT2 allozymes catalyzed both N- and O-acetyltransferase activities at levels comparable with NAT2 5B and significantly below NAT2 4, suggesting that they confer slow acetylation phenotype. In order to investigate the molecular mechanism of slow acetylation in the novel NAT2 alleles, we assessed mRNA and protein expression levels and protein stability. No differences were observed in NAT2 mRNA expression among the novel alleles, NAT2*4 and NAT2*5B. However NAT2 5B and NAT2 5D, but not NAT2 6D and NAT2 14G protein expression were significantly lower than NAT2 4. In contrast, NAT2 6D was slightly (3.4-fold) and NAT2 14G was substantially (29-fold) less stable than NAT2 4. These results suggest that the 341T --> C (Ile(114) --> Thr) common to the NAT2*5 cluster is sufficient for reduction in NAT2 protein expression, but that mechanisms for slow acetylator phenotype differ for NAT2 alleles that do not contain 341T --> C, such as the NAT2*6 and NAT2*14 clusters. Different mechanisms for slow acetylator phenotype in humans are consistent with multiple slow acetylator phenotypes.     

Genetic polymorphisms of NAT2, CYP2E1 and GST enzymes and the occurrence of antituberculosis drug-induced hepatitis in Brazilian TB patients

Isoniazid (INH), one of the most important drugs used in antituberculosis (anti-TB) treatment, is also the major drug involved in hepatotoxicity. Differences in INH-induced toxicity have been attributed to genetic variability at several loci, such as NAT2, CYP2E1, GSTM1 and GSTT1, that code for drug-metabolising enzymes. Our goal was to examine the polymorphisms in these enzymes as susceptibility factors to anti-TB drug-induced hepatitis in Brazilian individuals. In a case-control design, 167 unrelated active tuberculosis patients from the University Hospital of the Federal University of Rio de Janeiro, Brazil, were enrolled in this study. Patients with a history of anti-TB drug-induced acute hepatitis (cases with an increase to 3 times the upper limit of normal serum transaminases and symptoms of hepatitis) and patients with no evidence of anti-TB hepatic side effects (controls) were genotyped for NAT2, CYP2E1, GSTM1 and GSTT1 polymorphisms. Slow acetylators had a higher incidence of hepatitis than intermediate/rapid acetylators [22% (18/82) vs. 9.8% (6/61), odds ratio (OR), 2.86, 95% confidence interval (CI), 1.06-7.68, p = 0.04). Logistic regression showed that slow acetylation status was the only independent risk factor (OR 3.59, 95% CI, 2.53-4.64, p = 0.02) for the occurrence of anti-TB drug-induced hepatitis during anti-TB treatment with INH-containing schemes in Brazilian individuals.     

Family-based association tests for genomewide association scans

With millions of single-nucleotide polymorphisms (SNPs) identified and characterized, genomewide association studies have begun to identify susceptibility genes for complex traits and diseases. These studies involve the characterization and analysis of very-high-resolution SNP genotype data for hundreds or thousands of individuals. We describe a computationally efficient approach to testing association between SNPs and quantitative phenotypes, which can be applied to whole-genome association scans. In addition to observed genotypes, our approach allows estimation of missing genotypes, resulting in substantial increases in power when genotyping resources are limited. We estimate missing genotypes probabilistically using the Lander-Green or Elston-Stewart algorithms and combine high-resolution SNP genotypes for a subset of individuals in each pedigree with sparser marker data for the remaining individuals. We show that power is increased whenever phenotype information for ungenotyped individuals is included in analyses and that high-density genotyping of just three carefully selected individuals in a nuclear family can recover >90% of the information available if every individual were genotyped, for a fraction of the cost and experimental effort. To aid in study design, we evaluate the power of strategies that genotype different subsets of individuals in each pedigree and make recommendations about which individuals should be genotyped at a high density. To illustrate our method, we performed genomewide association analysis for 27 gene-expression phenotypes in 3-generation families (Centre d'Etude du Polymorphisme Humain pedigrees), in which genotypes for ~860,000 SNPs in 90 grandparents and parents are complemented by genotypes for ~6,700 SNPs in a total of 168 individuals. In addition to increasing the evidence of association at 15 previously identified cis-acting associated alleles, our genotype-inference algorithm allowed us to identify associated alleles at 4 cis-acting loci that were missed when analysis was restricted to individuals with the high-density SNP data. Our genotype-inference algorithm and the proposed association tests are implemented in software that is available for free.     

Sequence analysis of NAT2 gene in Brazilians: Identification of undescribed single nucleotide polymorphisms and molecular modeling of the N-acetyltransferase 2 protein structure

N-Acetyltransferase 2 (NAT2) metabolizes a variety of xenobiotics that includes many drugs, chemicals and carcinogens. This enzyme is genetically variable in human populations and polymorphisms in the NAT2 gene have been associated with drug toxicity and efficacy as well as cancer susceptibility. Here, we have focused on the identification of NAT2 variants in Brazilian individuals from two different regions, Rio de Janeiro and Goiás, by direct sequencing, and on the characterization of new haplotypes after cloning and re-sequencing. Upon analysis of DNA samples from 404 individuals, six new SNPs (c.29T>C, c.152G>T, c.203G>A, c.228C>T, c.458C>T and c.600A>G) and seven new NAT2 alleles were identified with different frequencies in Rio de Janeiro and Goiás. All new SNPs were found as singletons (observed only once in 808 genes) and were confirmed by three independent technical replicates. Molecular modeling and structural analysis suggested that p.Gly51Val variant may have an important effect on substrate recognition by NAT2. We also observed that amino acid change p.Cys68Tyr would affect acetylating activity due to the resulting geometric restrictions and incompatibility of the functional group in the Tyr side chain with the admitted chemical mechanism for catalysis by NATs. Moreover, other variants, such like p.Thr153Ile, p.Thr193Met, p.Pro228Leu and p.Val280Met, may lead to the presence of hydrophobic residues on NAT2 surface involved in protein aggregation and/or targeted degradation. Finally, the new alleles NAT2*6H and NAT2*5N, which showed the highest frequency in the Brazilian populations considered in this study, may code for a slow activity. Functional studies are needed to clarify the mechanisms by which new SNPs interfere with acetylation.     

Is there an influence of enzyme polymorphisms on ochratoxin A genotoxicity?

Primary cultured human urothelial cells derived from ureter specimens of urological patients were used to evaluate induction of DNA-damage by OTA in the alkaline single-cell gel electrophoresis (comet) assay. With the cultured cells from each donor a separate comet assay was performed and tail length of the damaged DNA was measured. A broad spectrum of effects was detected between the individual cell cultures with effects reaching from tail lengths on control level up to strongly enhanced tail lengths.All donors of urothelial tissue were additionally genotyped for several xenobiotic metabolising enzymes (cytochrome P450 1A2, glutathione S-transferases T1, M1, and P1, N-acetyltransferase 2) in lymphocyte DNA. The genotype was then correlated with the genotoxic effects obtained in the comet assay.No correlation was found with CYP1A2, GSTT1, and GSTM1 genotypes whereas for GSTP1 stronger genotoxic effects were found in cells from donors with hetero-and homozygously mutated (w/m, m/m) genotypes compared to homozygous wildtypes. The strongest hint for a correlation was found for NAT2, as cells from donors with homozygous mutated alleles (m/m), known as slow acetylators, displayed a higher susceptibility to OTA in the comet assay than cells from donors with the heterozygously mutated or wildtype alleles (rapid acetylators).