Piacentini S, Polimanti R, Moscatelli B, Re M A, Fuciarelli R, Manfellotto D, Fuciarelli M
Department of Biology, University of Rome Tor Vergata, Rome, Italy.
Ann Hum Biol. 2010 Jun;37(3):427-39. doi: 10.3109/03014461003636419.
Asthma is one of the most common chronic diseases. Several studies have indicated that oxidative stress impairs pulmonary function. Glutathione S-transferases (GSTs) are believed to be critical in the protection of cells from reactive oxygen species.
In this case-control study we analysed the possible association between polymorphism in several cytosolic GST genes, air pollution and asthma development.
Genotyping of GSTM1 and GSTT1 genes was carried out by a multiplex PCR; GSTA1, GSTO1, GSTO2, GSTP1 polymorphisms were determined using the PCR-RFLP method. Data on atmospheric pollutants were collected by the regional air-quality monitoring network.
Among all the polymorphisms studied, the frequencies of GSTA1, GSTM1, GSTO2 and GSTT1 genotypes found in the group of asthmatic patients seem to differ from the frequencies of those found in the control group. Air pollutants were analysed and the air quality parameters considered proved to be significantly different, and therefore suitable for this study.
The final result of this research should hopefully lead to a better understanding of gene-environment interactions, so allowing earlier prediction and diagnosis of asthma disease and providing an efficient means of prevention.
哮喘是最常见的慢性病之一。多项研究表明,氧化应激会损害肺功能。谷胱甘肽S-转移酶(GSTs)被认为在保护细胞免受活性氧的侵害方面起着关键作用。
在这项病例对照研究中,我们分析了几种胞质GST基因多态性、空气污染与哮喘发病之间可能存在的关联。
采用多重PCR对GSTM1和GSTT1基因进行基因分型;使用PCR-RFLP方法确定GSTA1、GSTO1、GSTO2、GSTP1基因多态性。大气污染物数据由区域空气质量监测网络收集。
在所有研究的多态性中,哮喘患者组中发现的GSTA1、GSTM1、GSTO2和GSTT1基因型频率似乎与对照组中发现的频率不同。对空气污染物进行了分析,所考虑的空气质量参数被证明存在显著差异,因此适用于本研究。
本研究的最终结果有望有助于更好地理解基因-环境相互作用,从而实现对哮喘疾病的早期预测和诊断,并提供一种有效的预防手段。