Objective: Mercury-related gene miRNAs may be biomarkers for exposure-related illnesses. The aim of the study was to investigate the functions of 11 miRNAs identified from 38 mercury-related genes in the response to Hg toxicity through bioinformatic analysis.

Material and Method: In CTD, a comparative toxicogenomic database, Hg -exposed genes were discovered in the first stage. The Metascape database enriched pathways and processes in the second stage. MIENTURNET was then used to identify interactions between target genes and miRNAs.

Results: There were 38 Hg-toxic gene interactions in the CTD database. A MIENTURNET miRNA-target enrichment study found 11 miRNAs associated with 38 genes. Through the miRTarBase database, the expression change of hsa-miR-24-3p is associated with GCLM, HMOX1, IffNG, IL4, IL1B, TNff, and MT1M;hsa-miR-125b-5p with VDR,ABCC1,TARDBP, GSS,TNff; hsa-miR-6792-3p and hsa-miR-4691-5p with HMOX1,MT1A,SLC22A6, and VDR; hsa-miR-296-3p with IRff1,SLC7A5,MT2A,SLC22A6; hsa-miR-223-3pwithIL6,ABCB1,SLC7A5;hsa-miR-1238-3p with SLC22A6,TARDBP, and MT1A; hsa-miR-451a with ABCB1 and IL6; hsa-miR-433-5p with GCLC and GCLM; hsa-miR-132-5p with NffE2L2 and SLC7A5 genes. Additionally, the TargetScan database indicates a potential relationship between hsa-miR-873-5p.1 and Hg exposure through the HMOX1, ABCC1, and ALAD genes.

Conclusion: The clinic will use the data to recommend therapy and produce a definitive diagnosis that explains the disease's pathophysiology. The clinical study of these data on the gene-miRNA interaction linked to Hg exposure might make it possible to use possible biomarkers to check how well a disease treatment is working. Our possible candidate biomarkers will assist in avoiding early occupational disorders caused by Hg exposure and contribute to the literature.

Biomarkers CTD Hg Metascape MIENTURNET MiRNAs