Investigating the Correlation between Genetic and Biochemical Markers in Multiple Sclerosis

Abstract

Abstract Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system with a complex etiology involving genetic and environmental factors. Genome-wide association studies have identified several genetic variants associated with MS susceptibility, including the XRCC1 gene involved in DNA base excision repair. Environmental factors such as exposure to nitric oxide have also been linked to MS development and progression. This study aims to investigate the potential association between these factors, including patient demographic descriptors and biochemical markers, to better understand the mechanisms underlying MS. This scientific article discusses the results of statistical analysis of biomarkers in relation to multiple sclerosis (MS). Our findings reveal significant associations between various factors, such as levels of nitric oxide (NO) and serum nitrite levels, NO and plasma malondialdehyde (MDA) levels, nitrite and nitrate levels in serum, and nitrite and MDA levels in plasma. It also suggests a potential association between XRCC1 rs25487 T > C locus deviation from Hardy-Weinberg equilibrium and MS in the population of Latvia. Furthermore, XRCC1 rs25487 T > C is found to be statistically significantly associated with DNA damage in peripheral blood mononuclear cells (PBMNC) and potentially associated with levels of NO. Additionally, PARP1 rs1136410 A > G is linked to plasma levels of MS patients. Finally, the study finds that XRCC1 rs25487 T > C is associated with both plasma nitrite levels and serum malondialdehyde (MDA) levels of MS patients, with the rare allele T specifically correlated with the latter.