Decoding viral and host microRNA signatures in airway-derived biosamples: Insights for biomarker discovery in viral respiratory infections
dc.contributor.author | Molinero, Marta | |
dc.contributor.author | Perez-Pons, Manel | |
dc.contributor.author | González, Jessica | |
dc.contributor.author | Barbé Illa, Ferran | |
dc.contributor.author | de Gonzalo Calvo, David | |
dc.date.accessioned | 2025-03-24T13:09:34Z | |
dc.date.available | 2025-03-24T13:09:34Z | |
dc.date.issued | 2024 | |
dc.description.abstract | The global public health crisis caused by the COVID-19 pandemic has intensified the global concern regarding viral respiratory tract infections. Despite their considerable impact on health, society and the economy, effective management of these conditions remains a significant challenge. Integrating high-throughput analyses is pivotal for early detection, prognostication of adverse outcomes, elucidating pathogenetic pathways and developing therapeutic approaches. In recent years, microRNAs (miRNAs), a subset of small noncoding RNAs (ncRNAs), have emerged as promising tools for molecular phenotyping. Current evidence suggests that miRNAs could serve as innovative biological markers, aiding in informed medical decision-making. The cost-effective quantification of miRNAs in standardized samples using techniques routinely employed in clinical laboratories has become feasible. In this context, samples obtained from the airways represent a valuable source of information due to their direct exposure to the infectious agent and host response within the respiratory tract. This review explores viral and host miRNA profiling in airway-derived biosamples as a source of molecular information to guide patient management, with a specific emphasis on SARS-CoV-2 infection. | |
dc.identifier.doi | https://doi.org/10.1016/j.biopha.2024.116984 | |
dc.identifier.issn | 1950-6007 | |
dc.identifier.issn | 0753-3322 | |
dc.identifier.uri | https://repositori.udl.cat/handle/10459.1/467735 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.isformatof | ReproducciĂł del document publicat a: https://doi.org/10.1016/j.biopha.2024.116984 | |
dc.relation.ispartof | Biomedicine & Pharmacotherapy, 2024, vol. 177, 116984 | |
dc.rights | cc-by-nc-nd (c)The Authors, 2024 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Biomarkers | |
dc.subject | COVID-19 | |
dc.subject | MicroRNA | |
dc.subject | Respiratory disease | |
dc.subject | Viral microRNA | |
dc.subject | Virus | |
dc.title | Decoding viral and host microRNA signatures in airway-derived biosamples: Insights for biomarker discovery in viral respiratory infections | |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/publishedVersion |