Sidoti A, Antognelli C, Rinaldi C, D'Angelo R, Dattola V, Girlanda P, Talesa V, Amato A
Department of Biomorphology and Biotechnologies, University of Messina, 98100, Italy.
Mult Scler. 2007 May;13(4):446-53. doi: 10.1177/13524585070130040201.
Multiple sclerosis (MS) is characterized by chronic inflammation and demyelination of the central nervous system (CNS). Accumulating data indicate that oxidative stress, leading to reactive oxygen species (ROS) production and lipid peroxidation, as well as elevated levels of advanced glycation end products (AGE) in CNS neurons, might play a pivotal role in the pathogenesis of a number of diseases with a neurodegenerative aspect, such as MS. Therefore, polymorphisms of genes encoding endogenous free-radical scavenging systems, such as paraoxonase 1 (PON1), and anti-glycation defences, such as glyoxalase I (GI), could influence susceptibility to MS. In the present study, we have undertaken a case-control study to investigate the possible association of GI A111E, PON1 Q192R and L55M polymorphisms with the risk of MS. The three polymorphisms were characterized in 209 patients with relapsing-remitting MS (RRMS) and in 213 healthy controls by PCR/RFLP methods using DNA from lymphocytes. We found that individuals with the GI/AE-EE genotypes and PON55/LM-MM genotypes had a significantly higher risk of MS compared with the other genotypes. The two polymorphisms appear to be common genetic traits that are associated with an increased risk for MS--the analysis of both, in each single case, may be a revealing predictable factor for MS risk.
多发性硬化症(MS)的特征是中枢神经系统(CNS)的慢性炎症和脱髓鞘。越来越多的数据表明,氧化应激导致活性氧(ROS)生成和脂质过氧化,以及中枢神经系统神经元中晚期糖基化终产物(AGE)水平升高,可能在包括MS在内的许多具有神经退行性方面的疾病的发病机制中起关键作用。因此,编码内源性自由基清除系统的基因多态性,如对氧磷酶1(PON1),以及抗糖基化防御系统的基因多态性,如乙二醛酶I(GI),可能会影响对MS的易感性。在本研究中,我们进行了一项病例对照研究,以调查GI A111E、PON1 Q192R和L55M基因多态性与MS风险之间的可能关联。通过使用淋巴细胞DNA的PCR/RFLP方法,对209例复发缓解型MS(RRMS)患者和213名健康对照者的这三种多态性进行了鉴定。我们发现,与其他基因型相比,具有GI/AE-EE基因型和PON55/LM-MM基因型的个体患MS的风险显著更高。这两种多态性似乎是与MS风险增加相关的常见遗传特征——在每个单独病例中对两者进行分析,可能是MS风险的一个有揭示作用的可预测因素。