Radović Biljana, Stojilković Nikola, Ćurčić Marijana, Antonijević Miljaković Evica, Buha Đorđević Aleksandra, Vukelić Javorac Dragana, Baralić Katarina, Đukić-Ćosić Danijela, Bulat Zorica, Antonijević Biljana
Department of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia.
Department of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia.
Toxicology. 2023 May 1;489:153496. doi: 10.1016/j.tox.2023.153496. Epub 2023 Mar 16.
The current study aimed to assess the connection between the mixture of lead (Pb), cadmium (Cd), arsenic (As), methylmercury (MeHg) and decabrominated diphenyl ether (decaBDE) and thyroid function, by using in silico toxicogenomic data-mining approach. To obtain the linkage between investigated toxic mixture and thyroid diseases (TDs), the Comparative Toxicogenomics Database (CTD) was used, while gene ontology (GO) enrichment analysis was performed by ToppGeneSuite portal. The analysis has shown 10 genes connected to all chemicals present in the mixture and TDs (CAT, GSR, IFNG, IL1B, IL4, IL6, MAPK1, SOD2, TGFB1, TNF), most of which were in co-expression (45.68%), or belonged to the same pathway (30.47%). Top 5 biological processes and molecular functions affected by the investigated mixture emphasized the role of two common mechanisms - oxidative stress and inflammation. Cytokines and inflammatory response was listed as the main molecular pathway that may be triggered by simultaneous exposure to toxic metal(oid)s and decaBDE and connected to TDs. The direct relations between Pb/decaBDE and redox status impairment in thyroid tissue was confirmed by our chemical-phenotype interaction analysis, while the strongest linkage between Pb, As and decaBDE and thyroid disorders was found. The obtained results provide better understanding of molecular mechanisms involved in the thyrotoxicity of the investigated mixture, and can be used to direct further research.
本研究旨在通过计算机毒理基因组数据挖掘方法,评估铅(Pb)、镉(Cd)、砷(As)、甲基汞(MeHg)和十溴二苯醚(decaBDE)混合物与甲状腺功能之间的联系。为了获得所研究的有毒混合物与甲状腺疾病(TDs)之间的联系,使用了比较毒理基因组学数据库(CTD),同时通过ToppGeneSuite门户进行基因本体(GO)富集分析。分析表明,有10个基因与混合物和TDs中存在的所有化学物质相关(CAT、GSR、IFNG、IL1B、IL4、IL6、MAPK1、SOD2、TGFB1、TNF),其中大多数处于共表达状态(45.68%),或属于同一途径(30.47%)。所研究的混合物影响的前5个生物学过程和分子功能强调了两种常见机制——氧化应激和炎症的作用。细胞因子和炎症反应被列为可能由同时接触有毒金属(类金属)和十溴二苯醚引发并与TDs相关的主要分子途径。我们的化学-表型相互作用分析证实了Pb/十溴二苯醚与甲状腺组织氧化还原状态受损之间的直接关系,同时发现Pb、As和十溴二苯醚与甲状腺疾病之间的联系最为紧密。所得结果有助于更好地理解所研究混合物甲状腺毒性涉及的分子机制,并可用于指导进一步的研究。