Determination of IL-6 Gene Promoter Polymorphism in Patients with Hepatitis C and Its Impact on RNA Secondary Structure.
Sarah SadiqMohammad Zeeshan AnwarHuma ShafiqueSyed Mohsin ManzoorShaiza ShoaibRabia HamidShoaib Naiyer HashmiNaeem Mahmood AshrafTayyaba AfsarMashooq Ahmad BhatSuhail RazakPublished in: Medicina (Kaunas, Lithuania) (2024)
Background and Objectives : A polymorphism in the promoter region of the IL-6 gene would influence the level of IL-6 expression in patients with HCV, resulting in a pro-inflammatory response. Few studies have shown the association between -174G>C (rs1800795) and -1363G>T (rs2069827) polymorphisms and HCV infection, and their results have been contradictory. There are no data published in our population to study such an IL-6 stimulus against HCV infection and its impact on RNA secondary structure. Therefore, we isolated human subjects from the province of Punjab, Pakistan. The objective was to screen for IL-6 gene promoter polymorphisms -174G/C and -1363G/T and those correlated with serum concentrations of IL-6 in patients with HCV and compared with a control. Materials and Methods : In conventional PCR, measurement of serum IL-6 by CLIA and statistical analysis were performed to observe the genotype association studies. By integrating bioinformatics and computational tools, our study aimed to provide a comprehensive understanding of how variations in the promoter region of IL-6 may have functional implications on gene expression. Results : The -174G>C and -1363G>T genotypes in the promoter region of patients with HCV were in strong allelic association (Δ = 0.97, p < 0.001). Interestingly, the bioinformatics analysis was well aligned with our experimental data. Conclusions : Based on the data, it can be inferred that IL-6 gene promoter polymorphisms are important in the dysregulation of IL-6 levels in patients with HCV.
Keyphrases
- gene expression
- hepatitis c virus
- dna methylation
- transcription factor
- genome wide
- human immunodeficiency virus
- copy number
- poor prognosis
- high throughput
- big data
- randomized controlled trial
- endothelial cells
- deep learning
- machine learning
- binding protein
- long non coding rna
- tertiary care
- toll like receptor
- lps induced