Elucidation of molecular mechanisms, pathways, and diseases modulated by arsenicals through toxogenomics and multi-omics analysis

被引:0
|
作者
Zargar, Seema [1 ]
Altwaijry, Nojood [1 ]
Alanazi, Humidah [1 ]
Alshammari, Atekah Hazzaa [1 ]
Alkahtani, Hamad M. [2 ]
Wani, Tanveer A. [2 ]
机构
[1] King Saud Univ, Coll Sci, Dept Biochem, Riyadh 11451, Saudi Arabia
[2] King Saud Univ, Coll Pharm, Dept Pharmaceut Chem, Riyadh 11451, Saudi Arabia
关键词
CBioPortal; GSEA; Hepatocellular carcinoma; Signaling pathways; SODIUM ARSENITE; GENE-EXPRESSION; DNA-DAMAGE; EXPOSURE; CELLS; ANTIOXIDANTS; GENERATION; TOXICITY;
D O I
10.1016/j.jtemb.2024.127561
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Arsenic compounds exist in inorganic and organic forms with inorganic form confirmed as a potent carcinogen. Toxogenomics and multi-omics analysis were used to explore the molecular mechanisms of carcinogenecity induced by arsenicals. Comparative toxogenomics revealed sodium arsenite and arsenate as the most toxic arsenicals to humans, interacting with various genes and altering gene expression through mRNA binding proteins. Both metalloids were classified as Class II toxins by the ProTox II prediction tool, with a lethal dose (LD50) of 149 mg/kg body weight. The most frequently interacting genes were HMOX1, CAT, NFE2L2, CASP3, MAPK1, CXCL8, PARP1, TNF, and PYGM. Analysis of TCGA pan-cancer data revealed that 46 % of hepatocellular carcinoma patients exhibited alterations in the genes HMOX1, CAT, NFE2L2, CASP3, MAPK1, CXCL8, PARP1, TNF, and PYGM, suggesting their significant role in the development of this disease. The alteration in the gene list decreased the overall patient survival but insignificantly in the Kaplan-Meier curves revealing insignificant role in survival. GSEA suggested significant enrichment of the gene list in pathways involved in the G2M checkpoint, apoptosis, hypoxia, TNFA signaling via NFKB, PI3K AKTMTOR signaling, P53, IFN gamma and inflammatory response pathways revealing the involvement of these pathways. Ten microRNAs (miRNAs) regulated the expressions of the genes involved in the above-mentioned pathways with the significant enrichment in miR-21-3p, miR-206 and mir486a-5p. The relevant pathway and graphical representation of the network of miRNA-target interactions identified by the enrichment analysis along with disease ontologies were predicted. This study will be helpful insight into setting of laboratory experiments.
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页数:11
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