Glutathione S-transferase Mu 1 Genes Research Articles

Study on the association of Glutathione S-transferase Mu 1 (GSTM1) gene polymorphism with acute decompensated heart failure with reduced ejection fraction

The most frequent cause of hospitalization in adults over 65 in Western nations is acute decompensation of heart failure (ADHF). Due to the high death rate, it places a heavy load on healthcare systems as well as people. The present study’s objective was to ascertain the connection between polymorphisms in the Glutathione S-transferase Mu 1 (GSTM1) gene and heart-failure-reduced ejection fraction (HFrEF) patients. Sixty patients with a mean age of 25–94 were taken from both genders after the clinical diagnosis by a specialist to cases who were referred to the Ibn Al-Baitar Specialized Center for Cardiac Surgery and Ramadi Teaching Hospital, and thirty apparently healthy people were taken as a control. Blood and serum containing EDTA were drawn from sick and healthy people to extract DNA for multiplex PCR detection of the GSTM1 polymorphism. The GSTM1 genotype was found in 23 (38.33%) and the null gene in 37 (61.66%) of the 60 ADHF patients. Of 30 healthy people, 8 (26.66%) had the GSTM1 gene and 22 (73.33%) had the null gene. According to the present study, the etiology of acute decompensated heart failure (ADHF) and the antioxidant null gene (GSTM1) are related. The present study has been achieved to determine the relationship between the presence of the antioxidant gene (GSTM1) and the incidence of ADHF with reduced ejection fraction for research and therapeutic purposes, which opens new spaces in the treatment of the mentioned condition.

Air pollution associated acute respiratory inflammation and modification by GSTM1 and GSTT1 gene polymorphisms: a panel study of healthy undergraduates

Epidemiological evidence has linked air pollution with adverse respiratory outcomes, but the mechanisms underlying susceptibility to air pollution remain unclear. This study aimed to investigate the role of glutathione S-transferase (GST) polymorphism in the association between air pollution and lung function levels. A total of 75 healthy young volunteers aged 18–20 years old were recruited for six follow-up visits and examinations. Spirometry was conducted to obtain lung function parameters such as forced vital capacity (FVC), and forced expiratory volume in 1 s (FEV1). Nasal fluid concentrations of interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α), and 8-epi-prostaglandin F2α (8-epi-PGF2a) were measured using ELISA kits. Linear mixed-effect models were used to evaluate the association of air pollutants with respiratory outcomes. Additionally, polymorphisms of glutathione S-transferase mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) were estimated to explore its role in the association between air pollutants and lung function. We found that short-term exposure to atmospheric particulates such as PM2.5 and PM10 can cause an increase in nasal biomarkers of inflammation, oxidative stress, and lung function, while air gaseous pollutant exposure is linked with decreased lung function, except for CO. Stratification analyses showed that an increase in nasal inflammatory cytokines caused by exposure to atmospheric particulates is more obvious in subjects with GSTM1-sufficient (GSTM1+) than GSTM1-null (GSTM1−), while elevated lung function levels due to air particles are more significant in subjects with the genotype of GSTM1− when compared to GSTM1+. As for air gaseous pollutants, decreased lung function levels caused by O3, SO2, and NO2 exposure is more manifest in subjects with the genotype of GSTM1− compared to GSTM1+. Taken together, short-term exposure to air pollutants is associated with alterations in nasal biomarkers and lung function levels in young healthy adults, and susceptible genotypes play an important mediation role in the association between exposure to air pollutants and inflammation, oxidative stress, and lung function levels.

Genetic Polymorphisms of GSTM1 and GPX1 Genes and Smoking Susceptibility in the Saudi Population.

Glutathione-S-transferase Mu1 (GSTM1) and glutathione peroxidase 1 (GPX1) are known antioxidant enzymes that help protect cells from the oxidative damage that occurs from smoking. This study explored the correlation between GSTM1 and GPX1 levels between a group of smokers with the GSTM1 and GPX1 genes in the Saudi population and a control group and investigated the genetic risk factors in the group of smokers. The control and smokers' group (n = 50; aged 22.3 ± 3.1 years; BMI 24.6 ± 5.9 kg/m2) were genotyped using quantitative polymerase chain reaction (qPCR). In comparison with the control group, the smokers' group displayed a different genotype disruption of GSTM1 and GPX1. Carriers of the homozygous (TT) genotype of GSTM1 had more than a twofold (OR = 2.71, 95% CI = 0.10-70.79, P = 1.000) smoking risk than the carriers of the heterozygous (CT) genotype. Those with the GPX1 gene showed no risk in the control and smokers' groups. Smokers with the TT/GG combination (homozygous for GPX1 and normal for GPX1) were identified as high risk (OR = 2.58, 95% CI = 0.096-69.341). The main outcomes showed no significant association between genetic polymorphism of the GSTM1 and GPX1 genes and cigarette smoking in the Saudi Arabian population. However, the results showed a slight decrease in the number of GSTM1 and GPX1 gene modifications among smokers.

Comprehensive analysis of the correlation between GSTM1 and tumor immunity in colon cancer

Glutathione S-transferase mu 1 (GSTM1) is one of the major glutathione conjugation enzymes. Its expression and activity have been suggested to correlate with the occurrence of colon cancer; however, the role of GSTM1 in tumor immunity remains unclear. Relevant data downloaded from The Cancer Genome Atlas (TCGA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), and Human Protein Atlas (HPA) was used to perform a multi-dimensional expression analysis of GSTM1 in colon adenocarcinoma (COAD). The correlation between GSTM1 and tumor immunity was analyzed with multiple online tools. Then protein-protein interaction (PPI) network and functional enrichment analyses of GSTM1-associated immunomodulators were performed. Further, we developed the Cox regression model based on the GSTM1-related immunomodulators. Finally, a GSTM1-based clinical nomogram and a calibration curve was established to predict the probability and accuracy of long-term survival. GSTM1 was significantly downregulated in COAD versus normal tissues. Infiltration levels of B cells, CD8+ T cells, and dendritic cells were closely correlated to GSTM1 gene copy number deletion, and GSTM1 expression levels in COAD positively correlated with dendritic cell, B cell, neutrophil, and macrophage infiltration. Functional enrichment analysis indicated 36 GSTM1-related immunomodulators are involved in immune-related pathways of regulating T cell activation and lymphocytic activation. A 2-gene prognostic risk signature based on the 36 GSTM1-related immunomodulators was built using the Cox regression model, and the risk signature in combination with stage had an area under the curve (AUC) value of 0.747 by the receiver operating characteristic method. patients with higher risk scores-calculated based on 2 gene prognostic risk characteristics and further identified as an independent prognostic factor-were associated with worse survival using the Kaplan-Meier analysis. Together, the clinical nomogram and calibration curve based on GSTM1 suggested a good prediction accuracy for long-term survival probability. Our study provided evidence supporting the significant role of GSTM1 in COAD immunity and suggests GSTM1 as a potential novel target for COAD immunotherapy.

Frequency of polymorphic loci of GSTM1 and GSTT1 modifier genes in the genotype of children with pyelonephritis and congenital urinary malformations

IntroductionThe growing number, prevalence, numerous complications, and deaths in patients with congenital anomalies of the kidney and urinary tract (CAKUT) indicate the high relevance of the declared topic. Currently, clinical medicine is actively engaged in research on the cellular and molecular mechanisms that cause the appearance of these diseases.AimThe aim of the work is to study genetic markers of CAKUT and the tendency to a more severe course of pyelonephritis in young children.Material and methodsUsing the multiplex polymerase chain reaction method, 50 children with pyelonephritis were examined for the presence of deletion alleles of the glutathione S-transferase mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) genes.Results and discussionAs a result, 35 children were diagnosed with certain CAKUT. A statistically significant associative relationship between the development of pyelonephritis in a child and the presence of a null allele GSTM1 0/0 in its genotype and a high probability of CAKUT with quantitative and positional anomalies and impaired formation and differentiation of renal tissue in carriers of null alleles GSTT1 0/0, GSTM1 0/0 in their combination was revealed.ConclusionsThe fact that different forms of abnormalities are detected in members of the same family suggests that certain genetic mutations can potentially lead to CAKUT syndrome, but the final phenotype of the renal system depends either on the genetic background or on environmental factors.

Worldwide Systematic Review of GSTM1 and GSTT1 Null Genotypes by Continent, Ethnicity, and Therapeutic Area.

Glutathione S-transferase Mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) enzymes are glutathione-S-transferases with broad significance for susceptibility or resistance to multifactorial human diseases, as well as detoxification of environmental chemicals and drugs. Moreover, some individuals may have a complete deletion of GSTM1 and GSTT1 genes, which can contribute to patient-to-patient variability in drug safety and efficacy. GSTM1 and GSTT1 gene deletion frequencies can vary according to ethnicity and continental origin of the studied population with implications for achieving the goal of precision/personalized medicine in clinical practice. We report here a worldwide systematic review of the null genotypes in these two clinically important genes by continents, ethnicities, and therapeutic areas (TAs). Searches were performed in the PubMed database covering the period from 1992 to 2020. Out of the 1925 articles included, most studies analyzed European individuals, corroborating the literature failure for not adequately considering the non-European ethnicities. The frequency of GSTM1 and GSTT1 null genotypes was higher in patients than in healthy volunteers. Conversely, in East Asians, higher frequencies of the null genotypes were observed in healthy volunteers than patients. Oncology was the most intensively studied TA (57% of the articles) in relation to GSTM1 and GSTT1. In all, these results demonstrate that there is an important gap in the literature in terms of failure to consider a broader range of populations, as well as diseases wherein GSTM1 and GSTT1 variations have clinical and biological implications. To achieve precision/personalized medicine on a global/worldwide scale, with equity and inclusiveness, this knowledge/research gap ought to be remedied in studies of GSTM1 and GSTT1 null genotypes. To the best of our knowledge, this is the largest systematic review conducted to date addressing the GSTM1 and GSTT1 null genotypes worldwide. The analyses from the 1925 articles highlighted the current knowledge gaps in different TAs, ethnicities, and populations. Filling these gaps is of importance, given the role these genes play in relation to the metabolism of substances to which we have frequent contact with, the associations observed between their deletion and diseases such as cancer, in addition to the interethnic differences observed for the deletion frequencies of these genes.

Investigation of the Relationship between Genetic Polymorphisms in GSTM1 and GSTT1 Genes and Susceptibility to Lung Functional Abnormalities in Workers Exposed to Air Pollutants at Isfahan Steel Plant

Introduction: Gaseous air pollutants can cause oxidative stress, which can lead to lung damage by inducing inflammation. Polymorphisms in the glutathione S-transferase (GST) gene are involved in the pathogenesis of many diseases, including lung disease. Two glutathione S-transferase Mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) genes belong to this family, in which deletions occur and the resulting alleles are unable to produce active enzymes.
 Materials and Methods: In this study, 41 steel plant workers with impaired lung function were selected. Multiplex PCR technique was used to identify the genotyping of GST M1 and T1.
 Results: The results of the frequency of gene deletion among 41 patients showed that there were 10 individuals (17.2%) with deletion of GSTM1 gene, 4 individuals (11.8%) with deletion of GSTT1 gene. The results of the frequency of gene deletion among 50 healthy individuals (control group) also showed that there were 8 individuals (8.5%) with deletion of GSTM1 gene, and 12 individuals (8.3%) with deletion of GSTT1 gene. There were 7 individuals (14%) without deletion of GSTM1 and GSTT1 removal. The results of Chi-square test between healthy and sick groups showed no significance at the level of p < 0.05.
 Conclusion: According to the results, it can be concluded that the sensitivity to lung function abnormalities in steel workers is directly related to the duration of employment.

Therapeutic role of eicosapentaenoic and arachidonic acid in benzo(a) pyrene-induced toxicity in HUVEC endothelial cells

Endothelial cells are characterized by intense metabolic activity and control of homeostasis. Exposure to benzo(a)pyrene (BaP) plays an important role in the etiology of atherosclerosis. The study aimed to determine the effect of arachidonic (ARA), and eicosapentaenoic acid (EPA) on pro-inflammatory gene and protein levels in human umbilical vein endothelial cells (HUVEC) exposed to BaP. Cyclooxygenase-2 (COX-2), aryl hydrocarbon receptor (AHR), and glutathione S transferase Mu1 (GSTM1) proteins expression were analyzed by Western blot. Prostaglandin synthase 2 (PTGS2), AHR, GSTM1, phospholipase A2 (PLA2G4A), cytochrome P450 CYP1A1, intercellular adhesion molecule-1 (ICAM-1), endothelial nitric-oxide synthase (NOS3), and vascular adhesion molecule-1 gene expression (VCAM-1) was analyzed in Real time-qPCR. Phospholipase A2 activity was measured using the ELISA technique, and CYP1A1 activity was analyzed in luminescence assay.The highest amount of COX-2, the most increased activity of CYP1A1 and cPLA2, and overexpression of GSTM1, CYP1A1, ICAM-1, and VCAM-1 gene was observed in HUVEC cells treated with BaP. After co-treatment with BaP and ARA or EPA, an increase of GSTM1 level was observed. Incubation of endothelial cells with ARA or EPA and BaP resulted in lower CYP1A1 and cPLA2 activities and lower expression of VCAM-1 and ICAM-1 genes. Significant overexpression of AHR, GSTM1, CYP1A1, PTGS2, PLA2G4A, and NOS3 genes was noted in cells treated with EPA and BaP.Our data suggest a beneficial effect of EPA and ARA on endothelial function. Thus, it justifies further research on the participation of fatty acids in the regulation of physiological and pathological processes in endothelial cells.

Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients

BackgroundGlioblastoma (GBM) is a malignant human brain tumor that has an extremely poor prognosis. Classic mutations such as IDH (isocitrate dehydrogenase) mutations, EGFR (epidermal growth factor receptor) alternations, and MGMT (O6-methylguanine-methyltransferase) promoter hypermethylation have been used to stratify patients and provide prognostic significance. Epigenetic perturbations have been demonstrated in glioblastoma tumorigenesis. Despite the genetic markers used in the management of glioblastoma patients, new biomarkers that could predict patient survival independent of known biomarkers remain to be identified.MethodsATAC-seq (assay for transposase accessible chromatin followed by sequencing) and RNA-seq have been used to profile chromatin accessible regions using glioblastoma patient samples with short-survival versus long-survival. Cell viability, cell cycle, and Western blot analysis were used to characterize the cellular phenotypes and identify signaling pathways.ResultsAnalysis of chromatin accessibility by ATAC-seq coupled with RNA-seq methods identified the GSTM1 (glutathione S-transferase mu-1) gene, which featured higher chromatin accessibility in GBM tumors with short survival. GSTM1 was confirmed to be a significant prognostic marker to predict survival using a different GBM patient cohort. Knockdown of GSTM1 decreased cell viability, caused cell cycle arrest, and decreased the phosphorylation levels of the NF-kB (nuclear factor kappa B) p65 subunit and STAT3 (signal transducer and activator of transcription 3) (pSer727).ConclusionsThis report demonstrates the use of ATAC-seq coupled with RNA-seq to identify GSTM1 as a prognostic marker of GBM patient survival. Activation of phosphorylation levels of NF-kB p65 and STAT3 (pSer727) by GSTM1 is shown. Analysis of chromatin accessibility in patient samples could generate an independent biomarker that can be used to predict patient survival.

Association of CYP1A1, GSTM1 and GSTT1 gene polymorphisms with risk of prostate cancer in Algerian population

BackgroundProstate cancer is the most common cancer in the world, and its etiology involves the interaction of genetic and environmental factors. Interindividual differences observed in the metabolism of xenobiotics may be due to polymorphisms of genes encoding the detoxification enzymes. This genetic variability seems to be associated with differences in susceptibility to certain types of cancers, including prostate cancer. Our study has been made in order to investigate a possible genetic predisposition to prostate cancer in an Algerian population, through the analysis of genetic polymorphisms of three enzymes metabolizing xenobiotics namely cytochrome P450 (CYP) 1A1, glutathione S-transferase mu 1 (GSTM1) and GST theta 1 (GSTT1).MethodsThe current case–control study included 101 prostate cancer patients and 101 healthy controls. Genotyping of CYP1A1 T3801C polymorphisms and GSTM1/GSTT-null was made, respectively, by PCR-RFLP and multiplex PCR.ResultsNo significantly positive associations were found for the CYP1A1 T3801C [p = 0.71, OR = 1.23 (0.56–2.72)] and GSTM1-null [p = 0.26, OR = 1.37 (0.76–2.4)] polymorphisms and prostate cancer susceptibility. However, we detect a highly significant association between GSTT1-null genotype [p = 0.03, OR = 2.03 (1.06–3.99)], GSTM1/GSTT1-double null genotype [p = 0.027, OR = 2.6; CI (1.07–6.5)] and prostate cancer risk. Furthermore, no statistically significant differences between the studied polymorphisms and tumor parameters (the Gleason score and clinical stages of aggressiveness) at diagnosis of PCa.ConclusionsThe risk of developing prostate cancer in Algeria does not appear to be associated with CYP1A1 T3801C genotypes and GSTM1-null, but GSTT1-null and GSTM1/GSTT1-double null genotypes increased the risk of prostate cancer.

Identification and verification of the prognostic value of the glutathione S-transferase Mu genes in gastric cancer.

Gastric cancer (GC) is one of the most frequently diagnosed gastrointestinal cancer types in the world. Novel prognostic biomarkers are required to predict the progression of GC. Glutathione S-transferase Mu (GSTM) belongs to a family of phase II enzymes that have been implicated in a number of cancer types. However, the prognostic value of the GSTM genes has not been previously investigated in GC. The Cancer Genome Atlas (TCGA) was used to evaluate mRNA expression levels of GSTMs in GC tissue samples. Overall survival (OS) rates, hazard ratios (HRs) and 95% CIs were calculated using the Cox logistic regression model and Kaplan-Meier (KM) analysis was performed. In addition, the KM plotter online database was used to validate mRNA expression and the prognostic value of GSMT family members in patients with GC. To predict the function of GSTM genes in these patients, several bioinformatics tools, including the Database for Annotation, Visualization and Integrated Discovery, gene multiple association network integration algorithm, Search Tool for the Retrieval of Interacting Genes/Proteins, Gene Set Enrichment Analysis (GSEA), nomogram and genome-wide co-expression analysis were used. In the present study, high expression of GSTM5 was indicated to be strongly associated with lower OS in patients with GC, according to the TCGA and KM plotter online databases (HR=1.47, 95% CI: 1.06-2.04, P=0.021; and HR=1.69, 95% CI: 1.42-2.01, P=1.6×10−9, respectively). The results from the GSEA and genome-wide co-expression analysis indicated that GSTM5 expression associated with several biological process terms, including ‘adhesion’, ‘angiogenesis’, ‘apoptotic process’, ‘cell growth’, ‘proliferation’, ‘migration’, ‘Hedgehog signaling’, ‘MAPK signaling’ and the ‘TGF-β signaling pathway’. In conclusion, the present results indicated that GSTM5 may serve as a biomarker for GC prognosis and may be a potential therapeutic target for GC.

Clinical significance and biological mechanisms of glutathione S-transferase mu gene family in colon adenocarcinoma

BackgroundColon adenocarcinoma (COAD) is the most common form of colon cancer. The glutathione S-transferase Mu (GSTM) gene belongs to the GST gene family, which functions in cell metabolism and detoxification. The relationship between GSTM and COAD and the underlying mechanism remain unknown.MethodsData extracted from The Cancer Genome Atlas included mRNA expression and clinical information such as gender, age, and tumor stage. Prognostic values of GSTM genes were identified by survival analysis. Function and mechanism of prognostic GSTM genes were identified by gene set enrichment analysis. A nomogram was used to predict the contribution of risk factors to the outcome of COAD patients.ResultsLow expression of GSTM1 and GSTM2 was related to favorable OS (adjusted P = 0.006, adjusted HR = 0.559, 95% CI = 0.367–0.849 and adjusted P = 0.002, adjusted HR = 0.519, 95% CI = 0.342–0.790, respectively) after adjusting for tumor stage. Enrichment analysis also showed that genes involved were related to cell cycle, metabolism, and detoxification processes, as well as the Wnt signaling and NF-κB pathways.ConclusionsIn conclusion, low expression of GSTM1 and GSTM2 were significantly associated with favorable prognosis in COAD. These two genes may serve as potential biomarkers of COAD prognosis.

Association between polymorphisms in the CYP1A1, CYP2E1 and GSTM1 genes, and smoking, alcohol and upper digestive tract carcinomas in a high-incidence area of northern China.

Metabolic gene variants, smoking, and alcohol consumption are important upper digestive tract cancer (UDTC) risk factors. However, the gene-gene and gene-environment interactions remain unclear. A case-control study in a high incidence area for upper digestive tract cancer was conducted in China. DNA was extracted from buffy coat samples for PCR or PCR-restriction fragment length polymorphism. Smoking and alcohol drinking status was determined by questionnaires. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the associations. After adjusting for confounding factors, smoking increased esophageal cancer (EC), gastric cardia cancer (GCC) and gastric antral carcinoma (GAC) risk by 3.594, 4.658, and 3.999-fold, respectively. Alcohol consumption increased EC, GCC and GAC risk by 1.953, 2.442 and 1.765-fold, respectively. The cytochrome P4501A1 (CYP1A1) rs4646903 T>C polymorphism increased GCC risk, the cytochrome P4502E1 (CYP2E1) rs2031920 C>T polymorphism increased EC risk, while the GSTM1 null genotype decreased EC risk. An association existed between the following: CYP1A1 rs4646903 and smoking in EC, GCC and GAC; CYP1A1 rs4646903 and alcohol consumption in EC and GCC; CYP2E1 rs2031920 and smoking in EC, GCC and GAC and CYP2E1 rs2031920 and alcohol consumption in EC and GCC. No association was observed between CYP1A1 and CYP2E1. The glutathione S-transferase mu 1 (GSTM1) null genotype decreased EC risk (OR=0.510). Smoking/drinking are upper digestive tract cancer risk factors. The CYP1A1 rs4646903 and CYP2E1 rs2031920 polymorphisms were risk factors of GCC or EC, and the GSTM1 null genotype may serve a protective role against EC. The results of the present study indicated that gene-environment interactions increase the risk of UDTC.

Correction: Lung cancer susceptibility from GSTM1 deletion and air pollution with smoking status: a meta-prediction of worldwide populations.

[This corrects the article DOI: 10.18632/oncotarget.25693.].

Complex Haplotypes of GSTM1 Gene Deletions Harbor Signatures of a Selective Sweep in East Asian Populations.

The deletion of the metabolizing Glutathione S-transferase Mu 1 (GSTM1) gene has been associated with multiple cancers, metabolic and autoimmune disorders, as well as drug response. It is unusually common, with allele frequency reaching up to 75% in some human populations. Such high allele frequency of a derived allele with apparent impact on an otherwise conserved gene is a rare phenomenon. To investigate the evolutionary history of this locus, we analyzed 310 genomes using population genetics tools. Our analysis revealed a surprising lack of linkage disequilibrium between the deletion and the flanking single nucleotide variants in this locus. Tests that measure extended homozygosity and rapid change in allele frequency revealed signatures of an incomplete sweep in the locus. Using empirical approaches, we identified the Tanuki haplogroup, which carries the GSTM1 deletion and is found in approximately 70% of East Asian chromosomes. This haplogroup has rapidly increased in frequency in East Asian populations, contributing to a high population differentiation among continental human groups. We showed that extended homozygosity and population differentiation for this haplogroup is incompatible with simulated neutral expectations in East Asian populations. In parallel, we found that the Tanuki haplogroup is significantly associated with the expression levels of other GSTM genes. Collectively, our results suggest that standing variation in this locus has likely undergone an incomplete sweep in East Asia with regulatory impact on multiple GSTM genes. Our study provides the necessary framework for further studies to elucidate the evolutionary reasons that maintain disease-susceptibility variants in the GSTM1 locus.

Association of glutathione S‐transferase theta 1 and glutathione S‐transferase mu 1 gene polymorphism with the risk of pre‐eclampsia during pregnancy in Bangladesh

In this study, we analyzed the risk of developing pre-eclampsia with respect to glutathione S-transferase theta 1 (GSTT1) and glutathione S-transferase mu 1 (GSTM1) genotypes. We also tried to find relationship between genotypes and biochemical parameter change in pre-eclampsia patients. In total, 104 pre-eclampsia patients and 200 healthy controls were recruited for the study. Peripheral venous blood was drawn from study subjects and DNA was extracted from whole blood and multiplex polymerase chain reaction method was used to identify genotypes of GSTT1 and GSTM1 gene. All biochemical parameters were measured using colorimetric method. Serum glutamic pyruvic transaminase level was significantly higher (P < 0.01) and hemoglobin level was significantly lower (P < 0.001) in pre-eclampsia patients compared to control subjects. Significant association was found in GSTM1 null genotype with pre-eclampsia (P < 0.001) with an odds ratio (OR) analysis showing more than four-fold increased risk (OR = 4.75; 95% CI = 2.17-10.39; P <0.001). But for GSTT1 gene, null genotype was not associated with increased risk of developing pre-eclampsia (P > 0.05). In case of GSTT1 and GSTM1, the patients having both null genotypes for GSTT1 and GSTM1 showed significant (P < 0.001) higher risk of developing pre-eclampsia (OR = 7.64; 95% CI = 2.38-24.60; P < 0.001). GSTM1 null genotype increases the risk of pre-eclampsia. Combined GSTT1 and GSTM1 null genotype, the risk was even higher.

Lung cancer susceptibility from GSTM1 deletion and air pollution with smoking status: a meta-prediction of worldwide populations

Glutathione S transferase mu 1 (GSTM1) gene has been associated with lung cancer (LC) risk, for GSTM1 enzyme playing a vital role in detoxification pathway and protective against toxic insults. The major objective of this study was to investigate GSTM1 deletion pattern and its association with LC in the world’s population by using meta-prediction techniques. The secondary objective was to examine the effects of air pollution, smoking status, and other factors for gene-environment interactions with GSTM1 deletion and LC risk. We completed a comprehensive search to yield a total of 170 studies (40,296 cases and 48,346 controls) published from 1999 to 2017 for meta-analyses. The results revealed that GSTM1 deletion type was associated with increased risk of LC, while GSTM1 present type provided protective effect for all populations combined worldwide. Subgroup analysis on the rank order of risks from highest to lowest, among racial–ethnic groups, were Chinese, South East Asian, other North Asian, European, and finally American. Additional predictive analyses presented that air pollution played a significant role with increased risks of GSTM1 deletion and LC susceptibility, and the risks increased for smokers with higher levels of air pollution. Based on the findings of meta-predictive analysis, increased air pollution levels and smoking status presented additive effects to the LC risk susceptibilities and GSTM1 gene polymorphisms, for gene-environment interactions. Future studies are needed to examine gene-environment interactions for GSTM1 interacting with environmental factors and dietary interventions to mitigate the toxic effects, for LC prevention.

POLYMORPHIC DELETIONS OF GLUTATHIONE S-TRANSFERASES M1, T1 AND BLADDER CANCER RISK IN ALGERIAN POPULATION

Objective: Glutathione S-transferase mu 1 (GSTM1) and GST theta 1 (GSTT1) genes are two xenobiotic metabolizing genes in Phase II of the detoxification process. The polymorphisms of GSTM1, GSTT1 genes, and smoking are involved in many cancers such as bladder cancer. Our aim was to assess the role of smoking status and GSTM1 and GSTT1 null genotypes in bladder cancer development in Algerian population.Methods: The current case–control study included 175 bladder cancer patients and 188 controls matched for age, gender, and ethnic origin. The GSTM1 and GSTT1 genotypes were determined by multiplex polymerase chain reaction using blood genomic DNA. Possible associations of stage and grade with the obtained genotypes were also tested.Results: A significant associations were observed between bladder cancer risk and tobacco smoke (p value: p=1.21E-08), GSTM1 null genotype (p=0.018), GSTT1 null genotype (p=0.009), and GSTM1/GSTT1-double null genotype (p=0.001). The combined effect of smoking and testing deletions increased the risk of bladder cancer and the most important risk was observed among smokers carrying GSTM1/GSTT1-double null genotype (p=1.09E-05). No significant association was shown between stage and grade of bladder cancer and the testing genotypes.Conclusion: This study indicated that smoking, GSTM1 null, GSTT1 null, and GSTM1/GSTT1-double null genotypes individually represent a risk factor for bladder cancer in Algerian population. The interaction smoking gene increased the risk considerably. In fact, it is suggested that patients with cigarette smoking habit and combined GSTM1 and T1 genes deletion might be at increased risk of bladder cancer.

Lack of association between glutathione s-transferase mu 1 (GSTM1) gene polymorphisms and obesity.

Recent researches suggested that personal individual’s genetic background is contributed to the susceptibility to obesity. The present of this study is to investigate whether single nucleotide polymorphisms (SNPs) of glutathione s-transferase mu 1 (GSTM1) gene are susceptibility to obesity in Korean population. In present study, two SNPs (rs1056806 [Asp142Asp], rs3815029 [promoter]) of GSTM1 gene were genotyped in 117 overweight/obese subjects with a body mass index (BMI)≥23 kg/m2 and 125 nonoverweight/obese with a BMI of 18.5–23.0 kg/m2. Genotyping of two SNPs (rs1056806 and rs3815029) was determined by sequencing after polymerase chain reaction. Logistic regression models (codominant, dominant, recessive, and log-additive models) and allele analysis were used to calculate odds ratio, 95% confidence interval, and P-values. Significant association was considered at P<0.05. Tested two SNPs in GSTM1 genes did not show any significant association with obesity (rs1056806, P=0.24 in codominant 1 model; rs3815029, P=0.59 in codominant 1, P=0.09 in codominant 2, P=0.16 in dominant, P=0.09 in recessive, and P=0.07 in log-additive models). In summary, these results indicate that SNPs of GSTM1 gene did not associated with susceptibility of obesity in the Korean population.

Arginine intake is associated with oxidative stress in a general population

ObjectiveThe aim of this study was to assess the association between protein and arginine from meat intake and oxidative stress in a general population. MethodsData came from the Health Survey for Sao Paulo (ISA-Capital), a cross-sectional population-based study in Brazil (N = 549 adults). Food intake was estimated by a 24-h dietary recall. Oxidative stress was estimated by malondialdehyde (MDA) concentration in plasma. Analyses were performed using general linear regression models adjusted for some genetic, lifestyle, and biochemical confounders. ResultsMDA levels were associated with meat intake (P for linear trend = 0.031), protein from meat (P for linear trend = 0.006), and arginine from meat (P for linear trend = 0.044) after adjustments for confounders: age, sex, body mass index, smoking, physical activity, intake of fruit and vegetables, energy and heterocyclic amines, C-reactive protein levels, and polymorphisms in GSTM1 (glutathione S-transferase Mu 1) and GSTT1 (glutathione S-transferase theta 1) genes. Results were not significant for total protein and protein from vegetable intake (P > 0.05). ConclusionsHigh protein and arginine from meat intake were associated with oxidative stress independently of genetic, lifestyle, and biochemical confounders in a population-based study. Our results suggested a novel link between high protein/arginine intake and oxidative stress, which is a major cause of age-related diseases.