Effects of glutathione S-transferase M1 and T1 deletions on Parkinson's disease risk among a North African population

PURPOSE

In this study, the effects of glutathione S-transferase polymorphisms Mu1 (GSTM1) and glutathione S-transferase polymorphisms Theta1 (GSTT1) on Parkinson's disease (PD) risk factor were evaluated in a Tunisian population.

METHODS

These polymorphisms were analyzed in 229 healthy Tunisian subjects and 64 Tunisian patients with PD, using a polymerase chain reaction (PCR). Statistical analysis was performed using SPSS 18.0. The relative associations between the GST genotypes and PD were assessed by calculating the odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

The study results demonstrated that the individuals with GSTM1 [OR=3.93, 95% CI: 1.98-7.92, P=10^-6] and GSTT1 [OR=5.45, 95% CI: 2.90-10.30, p=10^-6] were statistically associated with the risk of PD. A significant association was also found between the individuals with both GSTM1/T1 null genotypes and PD risk [OR=22.10, 95% CI: 6.99-73.75, P=10^-6].

CONCLUSION

These genotyping findings suggest that the absence of both GSTM1 and GSTT1 activity could be a contributory factor for the development of PD.

GC-MS Based Metabolic Profiling of Parkinson's Disease with Glutathione S-transferase M1 and T1 Polymorphism in Tunisian Patients

AIM AND OBJECTIVE

Parkinson's disease (PD) is the second most common neurodegenerative disease. It is a multifactorial disorder (caused by aging, environmental, and genetic factors). Metabolomics can help explore the biomarker profiles for aging. Recent studies showed an association between the glutathione S-transferases (GSTs) polymorphisms and PD risk. The purpose of this study was to evaluate the association of this genetic polymorphism and the metabolomic profile in PD Tunisian patients, in order to identify effective biomarkers in the genetic differentiation.

MATERIALS AND METHODS

In this study, the metabolomic profile changes related to GSTs polymorphism were searched in 54 Tunisian PD patients treated with L-dopa, using a gas chromatography-mass spectrometry (GC-MS) technique.

RESULTS

The study results showed that mannose, methyl stearate, and three other unknown metabolites, increased in patients with GSTM1 positive genotype, while glycolic acid, porphine, monomethyl phosphate, fumaric acid, and three other unknown metabolites decreased in patients with GSTM1 positive genotype. Subsequently, the levels of glycolic acid, erythronic acid, lactic acid, citric acid, fructose, stearic acid, 2-amino-2-methyl-1,3-propanediol and three other unknown metabolites increased in patients with GSTM1 positive genotype, while the levels of proline, valine and two unknown metabolites decreased with GSTT1 positive genotype.

CONCLUSION

All these altered metabolites are related to energy metabolism and it can be concluded that GSTs polymorphism based the shifting in energy metabolism and led to oxidative stress.