Glutathione S-transferases (GSTs) are a superfamily of detoxificant enzymes. Pharmacogenomic studies have revealed interethnic differences in GST allelic frequencies. This study is focused on GSTT1 (gene deletion, rs17850155, rs2234953, and rs11550605) and GSTM1 (gene deletion) gene frequency distributions in two population samples of Europe origin (Italy, n = 120; Spain, n = 94) and two population samples of Africa origin (Cameroon, n = 126; Ethiopia, n = 153). Detection of GSTT1 and GSTM1 null genotypes was performed by multiplex PCR analysis, while the other GSTT1 gene polymorphisms were detected using allele specific PCR and sequencing. GSTT1 and GSTM1 null frequencies in the samples analyzed fit with the variability range observed in European and African populations, respectively. The SNP analysis in GSTT1 gene did not highlight any nucleotide substitution in 493 individuals analyzed. The comparisons among GSTM1 and GSTT1 null phenotype frequencies in worldwide populations show different patterns between Asians, Africans, and Europeans. Important insights into the effects of GSTM1 and GSTT1 gene deletions on the pathogenesis of human diseases have been hypothesized. Detailed studies on the geography of GST variants could therefore increase knowledge about the relationship between ethnicity and the prevalence of certain diseases.
Oxidative stress is one of the main risk factors for asthma development. Glutathione S-transferases play an important role in antioxidant defences and may influence asthma susceptibility. In particular, GSTM1 and GSTT1 positive/null genotypes and the GSTP1 Ile105 Val polymorphism have been analyzed in a number of genetic association studies, with conflicting outcomes. Two previous meta-analyses have attempted to clarify the associations between GST genes and asthma, but these studies have also showed contrasting results. Our aim was to perform a meta-analysis that included independent genetic association studies on GSTM1, GSTP1, and GSTT1, evaluating also the effect of potential confounding variables (i.e. ethnicity, population age, and urbanization). Systematic review and meta-analysis of the effects of GST genes on asthma were conducted. The meta-analyses were performed using a fixed or, where appropriate, random effects model. The meta-analysis of the GSTM1 (n = 35), GSTT1 (n = 31) and GSTP1 (n = 28) studies suggests that no significant associations with asthma susceptibility were observed for GSTM1 and GSTP1 gene polymorphisms, whereas a significant outcome was detected for the GSTT1 positive/null genotype (pooled OR = 1.33, 95 %CI = 1.10-1.60). However, high between-study heterogeneity was identified in all the general analyses (p heterogenetity < 0.05). The stratification analysis seems to explain the heterogeneity only in few cases. This picture is probably due to the interactive process of genetics and environment that characterizes disease pathogenesis. Further studies on interactions of GST genes with the potential oxidative stress sources and with other antioxidant genes are needed to explain the role of GST enzymes in asthma.
Involvement of genetic polymorphisms in arterial hypertension has already been reported, including GST genes, with contrasting results. The present research evaluates the possible association between GST gene polymorphisms and essential hypertension (EH) in an Italian population sample. 193 hypertensive subjects and 210 healthy controls were recruited. Buccal cells were collected from each subject using an oral swab and DNA was extracted using the phenol:chloroform:isoamilic alcohol method. GST SNPs were determined using the PCR-RFLP method, while GST null polymorphisms were determined using a Multiplex PCR. Among GST polymorphisms, only the frequency of the GSTT1 null phenotype was significantly higher in hypertensive patients than in normotensive participants. GSTT1 null individuals were significantly associated with increased risk of hypertension [P < 0.001; adjusted OR 2.24 (1.43-3.50)]. In sex-based analysis, the risk was significantly higher in female hypertensives [P < 0.001; adjusted OR 3.25 (1.78-5.95)] but not in male subjects. This study analyzed all GST gene that, in other research, have been studied in relation to arterial hypertension and the GSTO polymorphisms, showing an association only with GSTT1. The results for the GSTO genes represent the first analysis of this GST class in relation to blood pressure regulation. The association between the GSTT1 null phenotype and EH was confirmed in the overall population and in women, but not in men. These data suggest that GSTT1 could be a sex-specific candidate gene for EH.
Coding mutations in TTR gene cause a rare hereditary form of systemic amyloidosis, which has a complex genotype-phenotype correlation. We investigated the role of non-coding variants in regulating TTR gene expression and consequently amyloidosis symptoms. We evaluated the genotype-phenotype correlation considering the clinical information of 129 Italian patients with TTR amyloidosis. Then, we conducted a re-sequencing of TTR gene to investigate how non-coding variants affect TTR expression and, consequently, phenotypic presentation in carriers of amyloidogenic mutations. Polygenic scores for genetically determined TTR expression were constructed using data from our re-sequencing analysis and the GTEx (Genotype-Tissue Expression) project. We confirmed a strong phenotypic heterogeneity across coding mutations causing TTR amyloidosis. Considering the effects of non-coding variants on TTR expression, we identified three patient clusters with specific expression patterns associated with certain phenotypic presentations, including late onset, autonomic neurological involvement, and gastrointestinal symptoms. This study provides novel data regarding the role of non-coding variation and the gene expression profiles in patients affected by TTR amyloidosis, also putting forth an approach that could be used to investigate the mechanisms at the basis of the genotype-phenotype correlation of the disease.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.