Harnessing PM2.5 Exposure Data to Predict Progression of Fibrotic Interstitial Lung Diseases Based on Telomere Length

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dc.contributor.authorShull, Jessica Germaine
dc.contributor.authorPlanas Cerezales, Lurdes
dc.contributor.authorLara Compte, Carla
dc.contributor.authorPerona, Rosario
dc.contributor.authorMolina Molina, María
dc.date.accessioned2022-06-27T10:18:15Z
dc.date.available2022-06-27T10:18:15Z
dc.date.issued2022-05-12
dc.date.updated2022-06-23T14:54:49Z
dc.description.abstractCross-analysis of clinical and pollution factors could help calculate the risk of fibrotic interstitial lung disease (ILD) development and progression. The intent of this study is to build a body of knowledge around early detection and diagnosis of lung disease, harnessing new data sets generated for other purposes. We cross-referenced exposure levels to particulate matter 2.5 (PM2.5) with telomere length of a cohort of 280 patients with fibrotic ILD to weigh impact and associations. There was no linear correlation between PM2.5 and telomere length in our data sets, as the value of the correlation coefficient was 0.08. This exploratory study offers additional insights into methodologies for investigating the development and prognosis of pulmonary fibrosis.
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.pmid35646972
dc.identifier.urihttps://hdl.handle.net/2445/187053
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fmed.2022.871898
dc.relation.ispartofFrontiers in Medicine, 2022, vol. 9, num. 871898
dc.relation.urihttps://doi.org/10.3389/fmed.2022.871898
dc.rightscc by (c) Shull, Jessica Germaine et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationFibrosi pulmonar
dc.subject.classificationTelòmer
dc.subject.classificationContaminació
dc.subject.classificationDades massives
dc.subject.otherPulmonary fibrosis
dc.subject.otherTelomere
dc.subject.otherPollution
dc.subject.otherBig data
dc.titleHarnessing PM2.5 Exposure Data to Predict Progression of Fibrotic Interstitial Lung Diseases Based on Telomere Length
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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