Identification of candidate blood biomarkers for the diagnosis of septicaemic melioidosis based on WGCNA. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Yin, Li; Chen, Yuanyuan; Fu, Tingting; Liu, Lin; Xia, Qianfeng
• Is Part Of: Artificial cells, nanomedicine, and biotechnology. Volume 50:Issue 1(2022)
• Page Start: 252
• Page End: 259
• Publication Date: 2022-12-31
• Subjects: Sepsis -- WGCNA -- biomarker -- B. pseudomallei -- cell killing; Artificial cells -- Periodicals; Nanotechnology -- Periodicals; Blood substitutes -- Periodicals; Tissue engineering -- Periodicals; Molecules -- Periodicals; Biotechnology -- Periodicals; 615.39
• DOI: 10.1080/21691401.2022.2126490
• Languages: English
• ISSNs: 2169-1401

Abstract

Abstract: Melioidosis is an infectious disease caused by Burkholderia pseudomallei (Bp), a gram-negative bacillus. Sepsis is the most prevalent type of melioidosis. Due to factors such as lack of precision and slow presentation of bacterial culture tests, the misdiagnosis rate could exceed 100 per cent. Therefore, more reliable, and adaptable diagnostic methods are urgently needed. Weighted gene co-expression network analysis (WGCNA) was employed to screen the featured modules specially expressed in sepsis patients caused by Bp. Two representative co-expression modules were selected to perform gene ontology(GO) and KEGG analysis using ClusterProfiler package based on R language. We found that antigen processing and presentation of exogenous peptide antigen via MHC class I pathway, cytosol to ER transport and cell killing related pathways enriched in darkmagenta module which significantly correlated with the sepsis caused by Bp . Eventually, a diagnostic 6-mRNA signature consisting of ASPHD2, LAP3, SEPT4, FAM26F, WARS and LGALS3BP was identified, which could discern the sepsis caused by Bp compared with other organisms. This will provide a new insight in screening markers for early detection of sepsis caused by Bp, and the interaction between pathogens and hosts. This should shed light on the early detection of Bp -caused infectious diseases.