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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Proteomic profiling of survivors of SARS-CoV-2-induced ARDS

Authors: García-Hidalgo, MC; de Gonzalo-Calvo, D;

Proteomic profiling of survivors of SARS-CoV-2-induced ARDS

Abstract

Around 80% of patients who develop acute respiratory distress syndrome (ARDS) secondary to SARS-CoV-2 infection experience persistent lung dysfunction. The molecular factors that mediate pulmonary sequelae and recovery are unknown. In this context, we sought to comprehensively characterize the proteomic determinants of pulmonary diffusion impairment. This was a prospective cohort study including eighty-seven SARS-CoV-2–induced ARDS survivors. A complete pulmonary function evaluation and chest computed tomography (CT) were performed 3 months after hospital discharge. Proteomic profiling (364 proteins) was performed in plasma samples using proximity extension assay (PEA) technology. Partial least squares-discriminant analysis (PLS-DA) and random forest (RF) methods were used to assess predictor importance. Thirty percent of patients presented moderate to severe impairment of lung diffusing capacity (DLCO<60% predicted). In the univariate analysis, fifteen proteins showed high concentrations in patients with DLCO<60% [false discovery rate (FDR)<0.05]. Pleiotrophin (PTN) displayed the highest differences: fold change=2.22 and FDR=0.001. Differentially detected proteins showed an inverse and independent dose–response relationship with DLCO. The multivariable approaches clustered proteins according to the severity of diffusion impairment. Clusters were composed of host mediators of cell proliferation and differentiation, tissue remodeling, angiogenesis, coagulation, inflammation, immune response and fibrosis signaling. In survivors of SARS-CoV-2–induced ARDS, lung diffusion impairment is associated with specific circulating factors implicated in multiple injury and repair mechanisms. The host protein signatures allow a better understanding of pulmonary sequelae and may constitute therapeutic targets and biomarkers. The long-term biological and clinical significance of these observations requires further investigation.

Keywords

Diffusion impairment, Sequelae, Acute respiratory distress syndrome, Post-COVID, COVID-19, DLCO

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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