Laboratório de Ensaios Farmacológicos e Toxicológicos, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande - FURG, Av. Itália, km 8, Campus Carreiros, Rio Grande, RS 96203-900, Brazil; Programa de Pós Graduação em Ciências da Saúde, Universidade Federal do Rio Grande (FURG), Rua Visconde de Paranaguá 102- Centro, Rio Grande, RS 96203-900, Brazil.
Programa de Pós Graduação em Ciências da Saúde, Universidade Federal do Rio Grande (FURG), Rua Visconde de Paranaguá 102- Centro, Rio Grande, RS 96203-900, Brazil.
Mutat Res Genet Toxicol Environ Mutagen. 2024 Jul;897:503783. doi: 10.1016/j.mrgentox.2024.503783. Epub 2024 May 31.
The extraction and burning of coal release genotoxic pollutants, and understanding the relationship between genetic damage and the spatial distribution of residences in coal-using regions is crucial. The study aimed to conduct a spatial analysis of genotoxic damage through the of micronuclei (MNs) number and their proximity to coal mining/burning in the largest coal exploration region in Brazil. In this study, the detection of genotoxic damage was performed using the MN assay in oral cells of residents exposed to coal mining activities. Spatial analysis was conducted using QGIS 3.28.10 based on information obtained from a questionnaire administered to the population. Multiple linear regression analysis was carried out to assess the influence of the distance from residential areas to polluting sources on the number of MNs found. Additionally, Spearman's correlation was performed to identify the strength and direction of the association between the frequency of MNs and each of the polluting sources. A total of 147 MNs were quantified among all participants in the coal mining region. Notably, residents living within 2 km and 10 km of pollution sources exhibited the highest prevalence of MNs. The analysis demonstrated a significant correlation between closer proximity to pollution sources and increased MN frequency, underscoring the spatial relationship between these sources and genotoxic damage. Environmental pollutants from anthropogenic sources present a major health risk, potentially leading to irreversible damage. The spatial analysis in this study highlights the importance of targeted public policies. These policies should aim for a sustainable balance between economic development and public health, promoting effective measures to mitigate environmental impacts and protect community health.
煤炭的开采和燃烧会释放出遗传毒性污染物,因此了解遗传损伤与使用煤炭地区居民居住空间分布之间的关系至关重要。本研究旨在通过对巴西最大煤炭勘探区居民口腔细胞中的微核(MN)数量及其与采煤/燃烧的接近程度进行空间分析,来研究遗传毒性损伤。在这项研究中,通过 MN 测定法检测了暴露于采煤活动的居民的遗传损伤。使用基于问卷调查收集到的信息,在 QGIS 3.28.10 中进行了空间分析。采用多元线性回归分析评估了居民点到污染源的距离对 MN 数量的影响。此外,还进行了 Spearman 相关性分析,以确定 MN 频率与每个污染源之间关联的强度和方向。在整个采煤区的所有参与者中总共量化了 147 个 MN。值得注意的是,居住在距离污染源 2 公里和 10 公里以内的居民中 MN 的检出率最高。分析表明,与污染源的距离越近,MN 的频率越高,这突显了这些来源与遗传毒性损伤之间的空间关系。人为来源的环境污染物对健康构成重大风险,可能导致不可逆转的损伤。本研究中的空间分析强调了有针对性的公共政策的重要性。这些政策应旨在实现经济发展和公共健康之间的可持续平衡,促进采取有效措施减轻环境影响并保护社区健康。