SECONDARY DATA ANALYSIS ON PESTICIDE-GENE-DISEASE RELATIONS

E. M. Alvarenga, João Vitor Brito Oliveira, Mayara Sousa dos Santos, Júlia Naelly Machado Silva
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Abstract

Chemical pesticides can present toxic effects to human beings, and they are classified based on chemical characterization, presenting 300 active substances and more than 2000 different formulations. Their overuse can represent a significant risk factor to human health. Therefore, it is essential to investigate the putative association between health harms and pesticides because this information can be helpful for monitoring and controlling pesticide exposure. This study aims to analyze secondary data about pesticides and their effects on genes and disease phenotypes leading to health harm. For this, we used information about pesticides available on the Ministry of Agriculture, Livestock Breeding, and Supply documents. We also use the Set Analyzer tool available on the Comparative Toxicogenomics Database (CTD) to verify a putative association between pesticides and their specific chemical groups to human diseases. Finally, we use variance analysis to evaluate them for statistical purposes. Results showed that 127 chemical groups could be found in food, and they are classified into eight functional classes of pesticides used against pests in food crops. These functional classes are acaricides, bactericides, fungicides, herbicides, insecticides, molluscicides, nematicides, and plant growth regulators. Furthermore, data obtained from the CTD showed a predominance of digestive, nervous, respiratory, and skin diseases as the significant harms caused by pesticide exposure. Results also showed that all the pesticides’ functional classes affect genes associated with cancer development. Considering all the 127 chemical groups, we identified 145321 genes affected by these substances: 49733 genes affected by acaricides, 26832 genes affected by fungicides, 22687 genes affected by herbicides, 42681 genes affected by insecticides, 15842 genes affected by molluscicides, 15842 genes affected by nematicides, and 17217 genes affected by plant growth regulators. Organophosphates are the primary chemical group responsible for genetic effects, mainly leading to cancer and nervous system diseases. So, we conclude that seven different chemical groups can affect genes associated with cancer development and also concluded pesticide use could be related to genes effects and diseases development which can lead to health harms.
农药-基因-疾病关系的二次资料分析
化学农药会对人类产生毒性作用,根据化学性质对其进行分类,有300种活性物质和2000多种不同的配方。它们的过度使用可能对人类健康构成重大风险因素。因此,有必要调查健康危害与农药之间可能存在的关联,因为这些信息有助于监测和控制农药暴露。本研究旨在分析农药及其对健康危害的基因和疾病表型的影响。为此,我们使用了农业、畜牧业和供应部文件中可获得的农药信息。我们还使用比较毒物基因组学数据库(CTD)上提供的Set Analyzer工具来验证农药及其特定化学组与人类疾病之间的假定关联。最后,出于统计目的,我们使用方差分析来评估它们。结果表明,食品中存在127个化学基团,可将其划分为8个功能类。这些功能类别是杀螨剂、杀菌剂、杀真菌剂、除草剂、杀虫剂、杀软体剂、杀线虫剂和植物生长调节剂。此外,从CTD获得的数据显示,农药暴露造成的重大危害主要是消化、神经、呼吸和皮肤疾病。结果还表明,所有农药的功能类别都影响与癌症发展相关的基因。综合127个化学类群,共鉴定出受这些物质影响的基因145321个,其中杀螨剂影响的基因49733个,杀真菌剂影响的基因26832个,除草剂影响的基因22687个,杀虫剂影响的基因42681个,杀螺剂影响的基因15842个,杀线虫剂影响的基因15842个,植物生长调节剂影响的基因17217个。有机磷酸盐是导致遗传效应的主要化学基团,主要导致癌症和神经系统疾病。因此,我们得出结论,七种不同的化学基团可以影响与癌症发展相关的基因,还得出结论,农药的使用可能与基因影响和疾病发展有关,从而导致健康危害。
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