title: Circulating microbial RNA and health.
abstract: Measurement of health indicators in the blood is a commonly performed diagnostic procedure. Two blood studies one involving extended observations on the health of an individual by integrative Personal Omics Profiling (iPOP), and the other tracking the impact of Left Ventricular Assist Device (LVAD) placement on nine heart failure patients were examined for the association of change in health status with change in microbial RNA species. Decrease in RNA expression ratios of human to bacteria and viruses accompanying deteriorated conditions was evident in both studies. Despite large between-subject variations in bacterial composition before LVAD implantation among all the patients, on day 180 after the implantation they manifested apparent between-subject bacterial similarity. In the iPOP study three periods, namely, pre-respiratory syncytial virus (RSV) infection with normal blood glucose level, RSV infection with normal blood glucose level, and post-RSV infection with high blood glucose level could be defined. The upsurge of Enterobacteria phage PhiX 174 sensu lato and Escherichia coli gene expression, in which membrane transporters, membrane receptors for environment signalling, carbohydrate catabolic genes and carbohydrate-active enzymes were enriched only throughout the second period, which suggests a potentially overlooked microbial response to or modulation of the host blood glucose level.
authors.affiliation: Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, The People's Republic of China.|Division of Genomics and Bioinformatics, CUHK-BGI Innovation Institute of Trans-omics, The Chinese University of Hong Kong Shatin, N.T., Hong Kong, The People's Republic of China.
authors.forename: Ross Ka-Kit
authors.initials: RK
authors.lastname: Leung
authors.affiliation: Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, The People's Republic of China.|Division of Genomics and Bioinformatics, CUHK-BGI Innovation Institute of Trans-omics, The Chinese University of Hong Kong Shatin, N.T., Hong Kong, The People's Republic of China.
authors.forename: Ying-Kit
authors.initials: YK
authors.lastname: Wu
mesh_terms: D016470:Bacteremia / Q000235:genetics / Q000382:microbiology*; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D004198:Disease Susceptibility; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D015964:Gene Expression Regulation, Bacterial; D015967:Gene Expression Regulation, Viral; D059014:High-Throughput Nucleotide Sequencing; D054884:Host-Pathogen Interactions; D006801:Humans; D054892:Metagenome; D056186:Metagenomics / Q000379:methods; D012329:RNA, Bacterial / Q000235:genetics; D012367:RNA, Viral / Q000235:genetics; D014766:Viremia / Q000235:genetics / Q000821:virology*
chemical_list: D012329:RNA, Bacterial; D012367:RNA, Viral