Open AccessIdentification and Validation of a Prognostic Biomarker for Septic Arthritis: A Hypothesis
Author(s) -
Ravi Adusumalli,
S. Sreenivasa
Publication year - 2021
Publication title -
advances in bioscience and clinical medicine
Language(s) - English
Resource type - Journals
ISSN - 2203-1413
DOI - 10.7575/aiac.abcmed.v.9n.4p.41
Subject(s) - biomarker , dna methylation , medicine , epigenetics , arthritis , gene , transcriptome , inflammatory arthritis , gene expression , bioinformatics , genetics , immunology , biology
Inflammation is a hallmark of many diseases including septic arthritis (SA) or infectious arthritis (IA). The bacteria Staphylococcus aureus is the most common cause of septic arthritis in humans. The statistical incident rate for SA is 2-10 per 100,000 patients years in the USA and Western Europe. Currently, there is no ideal diagnostic or prognostic biomarker for SA at the moment. By virtue of their lack of specificity and accuracy, traditional inflammatory biomarkers are often ineffective in distinguishing SA from infectious joint disease. The present hypothesis wishes to explore the discriminatory power of unique inflammatory biomarkers in liquid biopsy samples of bacteria induced mice and SA patient samples by means of genome wide analysis in which includes epigenetic, genomics and transcriptome expression pattern. Investigation on gene expression by RNA sequencing and DNA methylation studies provides the best possible target genes of differentially expressed both RNA and DNA marker genes. The aim is to find a meaningful positive or negative association between gene expression in RNA sequencing data and DNA methylation status. Validation of differentially expressed genes and differentially methylated genes by functional mechanistic studies to determine the best predictive and prognostic marker for SA for regular therapeutic use by comparison with established reference genes. With respect to bacterial mediated mice vs SA patient gene contrast, the predicted results clarifies the in-depth understanding of pathophysiology, disease development, and SA status.