Biomedical subjects

Agneta Rannug

Publications and source records attributed to Agneta Rannug.

24 records · Page 2Linked to original sources

PubMed2002

Detection and characterization of a novel functional polymorphism in the GSTT1 gene.

A novel functional polymorphism in the GSTT1 gene associated with the non-conjugator phenotype has been identified. Sequencing of GSTT1 cDNA revealed a single nucleotide substitution, 310A>C, that altered the amino acid residue 104 from threonine to proline (T104P). Modelling studies of GSTT1 have suggested that residue 104 is located in the middle of alpha-helix 4. Introduction of an alpha-helix-disrupting proline most likely distorts the conformation of the protein. Individuals that lacked GSTT1 activity and carried the variant allele, tentatively denoted GSTT1*B, had no detectable GSTT1 immunoreactive protein. An allele-specific polymerase chain reaction method was developed to determine the frequency of the GSTT1*B allele. In 497 ethnic Swedes, the frequency of the active GSTT1*A allele was 0.65 [95% confidence interval (CI) 0.62-0.68] whereas the frequencies of the non-functional alleles GSTT1*O and the novel GSTT1*B allele were 0.34 (CI 0.31-0.37) and 0.01 (CI 0.01-0.02), respectively. In 100 Swedish Saamis, the GSTT1*B allele appeared to be slightly more common with a frequency of 0.03 (CI 0.01-0.07). The GSTT1 enzyme activity was measured in erythrocytes using methyl chloride as substrate. Individuals with the GSTT1*A/*A genotype had a two-fold higher GSTT1 activity compared to individuals with the GSTT1*A/*B genotype and subjects with the GSTT1*O/*B genotype totally lacked GSTT1 activity, indicating a strict gene-dose effect. By combining the analyses for the novel single nucleotide polymorphism with analyses for the deletion polymorphism, the accuracy in predicting all three GSTT1 conjugator phenotypes was improved from 96% to 99%.

Base Sequence↗

PubMed2002

Cancer risk assessment, indicators, and guidelines for polycyclic aromatic hydrocarbons in the ambient air.

Polycyclic aromatic hydrocarbons (PAHs) are formed during incomplete combustion. Domestic wood burning and road traffic are the major sources of PAHs in Sweden. In Stockholm, the sum of 14 different PAHs is 100-200 ng/m(3) at the street-level site, the most abundant being phenanthrene. Benzo[a]pyrene (B[a]P) varies between 1 and 2 ng/m(3). Exposure to PAH-containing substances increases the risk of cancer in humans. The carcinogenicity of PAHs is associated with the complexity of the molecule, i.e., increasing number of benzenoid rings, and with metabolic activation to reactive diol epoxide intermediates and their subsequent covalent binding to critical targets in DNA. B[a]P is the main indicator of carcinogenic PAHs. Fluoranthene is an important volatile PAH because it occurs at high concentrations in ambient air and because it is an experimental carcinogen in certain test systems. Thus, fluoranthene is suggested as a complementary indicator to B[a]P. The most carcinogenic PAH identified, dibenzo[a,l]pyrene, is also suggested as an indicator, although it occurs at very low concentrations. Quantitative cancer risk estimates of PAHs as air pollutants are very uncertain because of the lack of useful, good-quality data. According to the World Health Organization Air Quality Guidelines for Europe, the unit risk is 9 X 10(-5) per ng/m(3) of B[a]P as indicator of the total PAH content, namely, lifetime exposure to 0.1 ng/m(3) would theoretically lead to one extra cancer case in 100,000 exposed individuals. This concentration of 0.1 ng/m(3) of B[a]P is suggested as a health-based guideline. Because the carcinogenic potency of fluoranthene has been estimated to be approximately 20 times less than that of B[a]P, a tentative guideline value of 2 ng/m(3) is suggested for fluoranthene. Other significant PAHs are phenanthrene, methylated phenanthrenes/anthracenes and pyrene (high air concentrations), and large-molecule PAHs such as dibenz[a,h]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, and indeno[1,2,3-cd]pyrene (high carcinogenicity). Additional source-specific indicators are benzo[ghi]perylene for gasoline vehicles, retene for wood combustion, and dibenzothiophene and benzonaphthothiophene for sulfur-containing fuels.

Air Pollutants↗

PubMed2002

Influence of metabolic genotypes on biomarkers of exposure to 1,3-butadiene in humans.

Carcinogenicity of 1,3-butadiene (BD) has been linked to its metabolic activation of genotoxic epoxides. The inherited variations in the activity of BD-metabolizing enzymes may be responsible for individual differences that modulate the effects of BD exposure. In this study, 40 Italian subjects (30 BD-exposed workers and 10 clerks) were investigated to evaluate the role of genetic polymorphism of cytochromes P450 2E1, microsomal epoxide hydrolase, glutathione transferases GSTM1, GSTP1, GSTT1, and alcohol dehydrogenase, on urinary N-acetyl-S-(3,4-hydroxybutyl)-L-cysteine (MI) and hemoglobin N-(2,3,4-trihydroxybutyl)-valine adducts (THBVal). Median urinary MI and THBVal levels were 1.71 mg/g creatinine and 37.0 pmol/g globin in BD-exposed workers (exposure range, 4-201 microg/m(3)) and 1.42 mg/g creatinine and 35.3 pmol/g globin in unexposed subjects. No difference between the two groups was observed. Among all subjects, MI and THBVal levels were significantly correlated (r = 0.333). Smoking positively influenced the formation of THBVal. Higher THBVal levels were found in subjects with GSTM1 null and GSTT1 null genotypes; borderline influences were also noticed for CYP2E1(G(-35)T). An additive effect of combined polymorphisms for CYP2E1, GSTM1, and GSTT1 genes on the THBVal levels was suggested. A multiple linear regression analysis, where each factor contributed significantly, correlated THBVal levels with smoking, CYP2E1(G(-35)T), GSTT1, and GSTM1 genotypes (r = 0.698). Our results indicate that the THBVal level is influenced by genotypes, and that the analysis of combined polymorphisms may be the key to a better understanding of the role played by polymorphism of BD-metabolizing enzymes.

Adult↗

PubMedDate not supplied

The effect of relevant genotypes on PAH exposure-related biomarkers.

Polycyclic aromatic hydrocarbons (PAHs) in coke oven emissions cause a cancer risk to humans. In a comprehensive biomonitoring study among Estonian coke oven workers, we looked at the effect of genetic polymorphisms in metabolic enzymes on urinary mutagenicity, 1-hydroxypyrene (1-OHP) concentration in urine, and aromatic DNA adducts in white blood cells (WBCs). Coke oven workers were sampled twice (samplings I and II), and controls only once at the time of sampling I. Urinary mutagenicity was measured using the Ames test. CYP1A1, microsomal epoxide hydrolase (mEH), and glutathione S-transferase (GST) genotypes were analyzed by polymerase chain reaction (PCR). Urinary mutagenicity did not differ between exposed and controls, but those coke oven workers who were smokers had significantly higher (P=0.0002) mutagenic activity in urine than nonsmokers. Urinary mutagenicity was moderately correlated to levels of 1-OHP and aromatic DNA adducts, the P values ranging from 0.0005 to 0.002. Carriers of a variant allele in exon 4 of mEH (Arg139) had elevated urinary mutagenicity (sampling I). In addition, urine mutagenicity of persons with predicted high mEH activity was significantly higher. Smoking habit did not explain the differences observed in urinary mutagenicity between mEH phenotype or genotype subgroups. Variation in exon 3 of mEH (His113) was related to a significantly (P=0.01) higher 1-OHP concentration in exposed workers (sampling II). Workers from sampling I who had an Arg139 variation in mEH had lower levels of adducts in lymphocytes (P=0.01) than others, while airborne benzo[a]pyrene (B[a]P) and His113 variation affected interactively on adduct levels. Our study shows that a comprehensive assessment of exposure is essential for elucidation of PAH exposure at a workplace. Even at high exposures metabolic polymorphisms seem to have some effect on biomarker levels, and should be assessed in biomonitoring studies.

Biomarkers↗

PubMedDate not supplied

Microsomal epoxide hydrolase polymorphisms and lung cancer risk: a quantitative review.

To investigate the role of microsomal epoxide hydrolase (mEH) polymorphisms in the aetiology of lung cancer and to assess the interaction between mEH polymorphisms and smoking, we performed a meta-analysis of seven published studies, which included 2078 cases and 3081 controls, and a pooled analysis of eight studies (four published and four unpublished at that time) with a total of 986 cases and 1633 controls. The combined meta-analysis odds ratios (ORs) were 0.98 (95% confidence interval [CI] = 0.72-1.35) for polymorphism at amino acid 113 in exon 3 (His/His versus Tyr/Tyr genotype) and 1.00 (95% CI = 0.71-1.41) for polymorphism at amino acid 139 in exon 4 (Arg/Arg versus His/His genotype). In the pooled analysis, we observed a significant decrease in lung cancer risk (OR = 0.70, 95% CI = 0.51-0.96) for exon 3 His/His genotype after adjustment for age, sex, smoking and centre. The protective effect of exon 3 polymorphism seems stronger for adenocarcinoma of the lung than for other histological types. The OR for high predicted mEH activity, compared with low activity, was 1.54 (95% CI = 0.77-3.07) in the meta analysis and 1.18 (95% CI = 0.92-1.52) in the pooled analysis. We did not find a consistent modification of the carcinogenic effect of smoking according to mEH polymorphism, although the risk of lung cancer decreased among never smokers with high mEH activity and among heavy smokers with the exon 3 His/His genotype. In conclusion, this study suggests a possible effect of mEH polymorphisms at exon 3 in modulating lung cancer. If present, this effect may vary among different populations, possibly because of interaction with genetic or environmental factors.

Adult↗

PubMedDate not supplied

CYP1A1, GSTM1 and GSTT1 polymorphisms and lung cancer: a pooled analysis of gene-gene interactions.

Gene-environment interactions have been extensively studied in lung cancer. It is likely that several genetic polymorphisms cooperate in increasing the individual risk. Therefore, the study of gene-gene interactions might be important to identify high-susceptibility subgroups. GSEC is an initiative aimed at collecting available data sets on metabolic polymorphisms and the risks of cancer at several sites and performing pooled analyses of the original data. Authors of published papers have provided original data sets. The present paper refers to gene-gene interactions in lung cancer and considers three polymorphisms in three metabolic genes: CYP1A1, GSTM1 and GSTT1. The present analyses compare the gene gene interactions of the CYP1A1*2A, GSTM1 and GSTT1 polymorphisms from studies on lung cancer conducted in Europe and the USA between 1991 and 2000. Only Caucasians have been included. The data set includes 1466 cases and 1488 controls. The only clear-cut association was found with CYP1A1*2A. This association remained unchanged after stratification by polymorphisms in other genes (with an odds ratio [OR] of approximately 2.5), except when interaction with GSTM1 was considered. When the OR for CYP1A1*2A was stratified according to the GSTM1 genotype, the OR was increased only among the subjects who had the null (homozygous deletion) GSTM1 genotype (OR = 2.8, 95% CI = 0.9-8.4). The odds ratio for the interactive term (CYP1A1*2A by GSTM1) in logistic regression was 2.7 (95% CI = 0.5-15.3). An association between lung cancer and the homozygous CYP1A1*2A genotype is confirmed. An apparent and biologically plausible interaction is suggested between this genotype and GSTM1.

Case-Control Studies↗