| Literature DB >> 32726438 |
Claire Nicolas De Lamballerie1,2, Andrés Pizzorno1, Julia Dubois1, Blandine Padey1, Thomas Julien1,3, Aurélien Traversier1, Julie Carbonneau4, Elody Orcel2, Bruno Lina1, Marie-Eve Hamelin4, Magali Roche2, Julien Textoris5, Guy Boivin4, Catherine Legras-Lachuer2,6, Olivier Terrier1, Manuel Rosa-Calatrava1,3.
Abstract
Human respiratory syncytial virus (HRSV) constitutes one the main causes of respiratory infection in neonates and infants worldwide. Transcriptome analysis of clinical samples using high-throughput technologies remains an important tool to better understand virus-host complex interactions in the real-life setting but also to identify new diagnosis/prognosis markers or therapeutics targets. A major challenge when exploiting clinical samples such as nasal swabs, washes, or bronchoalveolar lavages is the poor quantity and integrity of nucleic acids. In this study, we applied a tailored transcriptomics workflow to exploit nasal wash samples from children who tested positive for HRSV. Our analysis revealed a characteristic immune signature as a direct reflection of HRSV pathogenesis and highlighted putative biomarkers of interest such as IP-10, TMEM190, MCEMP1, and TIMM23.Entities:
Keywords: DNA microarray; NanoString assay; nasal epithelium; respiratory syncytial virus; transcriptome
Mesh:
Year: 2021 PMID: 32726438 PMCID: PMC8006426 DOI: 10.1093/infdis/jiaa468
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 5.226