The glutathione S-transferase M1 and P1 polymorphisms and rheumatoid arthritis: a meta-analysis

Glutathione Transferase P1-1 an Enzyme Useful in Biomedicine and as Biomarker in Clinical Practice and in Environmental Pollution

Glutathione transferase P1-1 (GSTP1-1) is expressed in some human tissues and is abundant in mammalian erythrocytes (here termed e-GST). This enzyme is able to detoxify the cell from endogenous and exogenous toxic compounds by using glutathione (GSH) or by acting as a ligandin. This review collects studies that propose GSTP1-1 as a useful biomarker in different fields of application. The most relevant studies are focused on GSTP1-1 as a biosensor to detect blood toxicity in patients affected by kidney diseases. In fact, this detoxifying enzyme is over-expressed in erythrocytes when unusual amounts of toxins are present in the body. Here we review articles concerning the level of GST in chronic kidney disease patients, in maintenance hemodialysis patients and to assess dialysis adequacy. GST is also over-expressed in autoimmune disease like scleroderma, and in kidney transplant patients and it may be used to check the efficiency of transplanted kidneys. The involvement of GSTP in the oxidative stress and in other human pathologies like cancer, liver and neurodegenerative diseases, and psychiatric disorders is also reported. Promising applications of e-GST discussed in the present review are its use for monitoring human subjects living in polluted areas and mammals for veterinary purpose.

[Genetic polymorphism of cytogenetic effects of radon bath therapy in the patients presenting with gonosteoarthritis of different etiology based at the Belokurikha health resort]

BACKGROUND

Borrelia infection is known to develop as a result of the bites of the ixodid ticks while the extremely difficult working conditions and low temperatures contribute to the development of chronic gonosteoarthritis (CGA) associated with ixodid tick-borne borreliosis (ITB) in the residents of the northern part of Siberia.

AIM

The objective of the present study was to elucidate the frequency of occurrence of the synovial cells in the knee joints exhibiting the cytogenetic abnormalities with special reference to trisomy of chromosome 7 and the glutathione-S-transferase (GSTM1) gene polymorphism in the residents of the northern part of Siberia presenting with Lyme borreliosis (LB) whose genotype contains some alleles of the GSTM1 gene before and after the treatment of LB-associated CGA with the use of the radon bath therapy. The secondary objective was to compare the respective characteristics and the results of the treatment with those in the patients with post-traumatic gonosteoarthritis (PTGA) and to evaluate the influence of the above abnormalities on the severity of CGA.

MATERIAL AND METHODS

The study included 69 patients having gonosteoarthritis associated with ixodid tick-borne borreliosis and residing in the northern areas of Siberia; in addition, 52 other individuals presenting with post-traumatic CGA made up the control group. The synovial cells of the knee joints were obtained from all the participants of the study for their culturing, making preparations, and analyzing chromosomal aberrations. The polymorphism of the GSTM1 gene was investigated with the use of the real-time polymerase chain reaction.

RESULTS

The frequency of cytogenetic abnormalities in the synovial cells obtained from the group of patients presenting with LB-associated CGA who were the carriers of the homozygous mutant genotype GSTM1(0/0) was significantly higher than that in the patients having the normal genotype GSTM1(+) before the course of radon bath therapy. This treatment resulted in a significant decrease of the severity of pain syndrome and the improvement of the locomotor function of the affected joints in all groups of the patients involved in the study. The correlation analysis has demonstrated the significant positive correlation between the decrease in the frequency of occurrence of the synovial cells with trisomy of chromosome 7 and the severity of the pain syndrome.

CONCLUSIONS

The results of the present study give evidence of the significant association between the genetic polymorphism of the glutathione-S-transferase gene and the frequency of cytogenetic abnormalities in the synovial cells of the knee joints of the patients suffering from CGA associated with LB. The treatment based on radon bath therapy caused a considerable decrease in the frequency of synovial cells with trisomy of chromosome 7 which correlated with the reduction of the intensity of the pain syndrome in these patients.

Phytochemicals as potential antidotes for targeting NF-κB in rheumatoid arthritis

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune destructive arthropathy prevalent among people in the age group of 40-70 years. RA induces severe pain, swelling and stiffness of joints resulting in bone damage. RA leads to reduced life expectancy when left untreated. RA is characterized by synovial hyperplasia, infiltration of inflammatory cells resulting in formation of pannus. Synovial hyperplasia is mediated by proinflammatory cytokines, notably IL-1 and TNF-α. NF-κB is a predominant transcription factor in amplifying the inflammatory response. The translocation of activated NF-κB into the nucleus triggers the transcription of several genes that induce proinflammatory cytokine production. The inhibition of NF-κB translocation aids blocking the activation of proinflammatory cascades. The quest for more effective and side-effect free treatment for RA unveiled phytochemicals as efficacious and promising. Phytochemicals have been a source of therapeutic substances for many ailments from ancient times. Their therapeutic ability helps in developing potent and safe drugs targeting immune inflammatory diseases driven by NF-κB including RA. This review highlights the importance of NF-κB inflammatory cascade in RA so as to elucidate the crucial role of phytochemicals that inhibit the activity of NF-κB.

Measurement of absolute copy number variation of Glutathione S-Transferase M1 gene by digital droplet PCR and association analysis in Tunisian Rheumatoid Arthritis population

BACKGROUND

The investigation of copy number variations (CNVs) analysis of candidate genes is currently an important research area in modulating human diseases. We aimed to quantify CNVs in glutathione S-transferase M1 (GSTM1) gene and determine its genetic contribution in Tunisian rheumatoid arthritis (RA) and its subsets through an innovative technique for quantification.

METHODS

A total of 165 RA cases and 102 healthy controls were included in the study. Using a recently powerful approach of digital droplet PCR (ddPCR), we quantified GSTM1 gene to determine the presence of no, one, or multiple copy number (CN) at high levels of sensitivity and specificity. Odds ratio and Fisher exact test were performed to estimate the association risk for GSTM1CNVs in RA.

RESULTS

Copy number identified by ddPCR was 0, 1, and 2 copies per diploid genome. A high frequency of '0' copy was revealed with 54% in RA patients. The deletion ('0' copy) of GSTM1 was found to be a significant risk factor for anti-cyclic citrullinated peptide (anti-CCP) positive RA (OR=4.16, CI_95% =[1.17-14.7]). In addition, a lack of association was found when comparing between the CNVs of RA patients and those of controls.

CONCLUSION

This study highlights the powerful accuracy of ddPCR for the quantification of CNVs and suggests that the variation in the CN of GSTM1 is associated with anti-CCP positivity in RA. However, it does not indicate a specific role in the susceptibility to the disease in our Tunisian sample.

Glutathione S-transferase M1 (GSTM1) and T1 (GSTT1) null polymorphisms and the risk of hypertension: a meta-analysis

BACKGROUND

Some studies have recently focused on the association between glutathione S-transferase M1 (GSTM1) and glutathione S-transferase T1 (GSTT1) null polymorphisms and hypertension; however, results have been inconsistent.

OBJECTIVE

In order to drive a more precise estimation, the present systematic review and meta-analysis is performed to investigate the relationship between the GSTM1 and GSTT1 null polymorphisms and hypertension.

METHODS

Eligible articles were identified by a search of several bibliographic databases for the period up to August 17, 2013. Odds ratios were pooled using either fixed-effects or random-effects models.

RESULTS

Regarding the GSTM1 null/present genotype, 14 case-control studies were eligible (2773 hypertension cases and 3189 controls). The meta-analysis revealed that it might present a small increased risk for hypertension, although the effect was not statistically significant (odd ratio (OR) = 1.16, 95% confidence interval (CI): 0.96, 1.40; P = 0.002, I2 = 59.8%). Further subgroup analysis by ethnicity and control source suggested that the association was still not significant. Thirteen case-control studies were eligible for GSTT1 (2497 hypertension cases and 3078 controls). No statistically significant association was observed between the GSTT1 null genotype and hypertension risk (OR = 1.14, 95% CI: 0.85, 1.53; P = 0.000, I2 = 80.3%). Furthermore, stratification by ethnicity and control source indicated no association between the GSTT1 null genotype and hypertension risk. We further confirmed the association by sensitivity analysis. No publication bias was detected.

CONCLUSION

This meta-analysis suggests that the GSTM1 and GSTT1 null polymorphisms are not associated with the risk of hypertension. Future large well-designed epidemiological studies with individual information, lifestyle factors, and environmental factors are warranted to validate the present findings.

Genetics in rheumatoid arthritis beyond HLA genes: what meta-analyses have shown?

OBJECTIVE

Rheumatoid arthritis (RA) is a complex disorder with many genetic and environmental factors to account for disease susceptibility. Individual genetic association studies usually suffer from small sample size leading to biased results of polymorphisms association with RA liability. Therefore, meta-analyses seem to resolve this limitation, up to a point, increasing the power of statistical analyses. In this review, we summarize the current knowledge of non-HLA genetic factors contributing to RA predisposition based on meta-analyses.

METHODS

Using the key words: rheumatoid arthritis, meta-analysis, and polymorphism, we searched the PubMed database for the associated articles. Up to the middle of November 2012, seventy-nine articles fulfilled the criteria and highlighted the current findings on the genetic factors contributing to RA susceptibility.

RESULTS

The association with RA was confirmed for 32 gene polymorphisms, being population specific in some cases. However, meta-analyses did not confirm an association in case of 16 gene variants, previously studied in individual studies for their association with RA.

CONCLUSIONS

The use of bioinformatics tools and functional studies of the summarized implicated genes in RA pathogenesis could shed light on the molecular pathways related to the disorder, helping to the development of new drug targets for a better treatment of RA.