Identification of key prognostic factors and biomarkers of patients with severe pneumonia through microbiome/transcriptome analysis

초록

Background: It has been reported that the number of virulent bacteria increases after viral infection, the expression of infectious bacterial proteins is likely to increase, and the existing nasopharyngeal bacterial microbiome may affect the severity of infection [1,2]. There have been several studies reporting significant differences in some transcripts of IL-2, IFN-γ, and TNF in patients with pneumonia depending on the cause, but studies using transcriptome RNA-seq are still insufficient [3]. In brief, there is no multi-omics study that integrates both symptomatic pneumonia and bacterial pneumonia. This is because there are limitations in the rapidity of sample collection that can affect the results and the multiomics analysis basis. In this study, by studying key interactions and the host’s immune response using a wholistic approach, we aim to identify prognostic factors, identify immune mechanisms, and discover biomarkers to use as indicators of improving treatment progress for patients with severe pneumonia and for prognostic diagnosis. Methods: Microbiome/transcriptome analysis was performed using a wholistic approach, which is insufficient due to the speed of sample collection and limitations of multiomics analysis, based on a system that is advantageous for sample collection and bioinformatics major analysis. We intend to conduct research on short- and medium-term effects on immune mechanisms. Check significance and correlation of multi-omics analysis of WGS and RNA-seq data. Comparative analysis of microbiome and transcriptome before and after treatment,comparative analysis of microbiome and transcriptome according to treatment method. Comparative analysis of microbiome and transcriptome of bacterial pneumonia patients. Comparative analysis of microbiome and transcriptome of severe pneumonia patients and mild pneumonia patients