4.7 Article

Genome-wide transcriptional profiling of pulmonary functional sequelae in ARDS- secondary to SARS-CoV-2 infection

Journal

BIOMEDICINE & PHARMACOTHERAPY
Volume 154, Issue -, Pages -

Publisher

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.biopha.2022.113617

Keywords

Acute respiratory distress syndrome; Apoptosis; Diffusion impairment; Post-COVID; RNA-seq

Funding

  1. IRBLleida Biobank [B.0000682]
  2. Plataforma Biobancos [PT20/00021]

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This study identified the molecular basis associated with severe lung diffusion involvement in survivors of SARS-CoV-2-induced ARDS using transcriptomic analysis. The findings provide insights into the biological pathways and immune cells related to post-acute pulmonary sequelae, and suggest potential targets for intervention and biomarker development.
Background: Up to 80% of patients surviving acute respiratory distress syndrome (ARDS) secondary to SARS-CoV2 infection present persistent anomalies in pulmonary function after hospital discharge. There is a limited understanding of the mechanistic pathways linked to post-acute pulmonary sequelae. Aim: To identify the molecular underpinnings associated with severe lung diffusion involvement in survivors of SARS-CoV-2-induced ARDS. Methods: Survivors attended to a complete pulmonary evaluation 3 months after hospital discharge. RNA sequencing (RNA seq) was performed using Illumina technology in whole-blood samples from 50 patients with moderate to severe diffusion impairment (D-LCO <60%) and age - and sex-matched individuals with mild-normal lung function (D-LCO >= 60%). A transcriptomic signature for optimal classification was constructed using random forest. Transcriptomic data were analyzed for biological pathway enrichment, cellular deconvolution, cell/tissuespecific gene expression and candidate drugs. Results: RNA-seq identified 1357 differentially expressed transcripts. A model composed of 14 mRNAs allowed the optimal discrimination of survivors with severe diffusion impairment (ADC-0.979). Hallmarks of lung sequelae involved cell death signaling, cytoskeleton reorganization, cell growth and differentiation and the immune response. Resting natural killer (NK) cells were the most important immune cell subtype for the prediction of severe diffusion impairment. Components of the signature correlated with neutrophil, lymphocyte and monocyte counts. A variable expression profile of the transcripts was observed in lung cell subtypes and bodily tissues. One upregulated gene, TUBB4A, constitutes a target for FDA-approved drugs. Conclusions: This work defines the transcriptional programme associated with post-acute pulmonary sequelae and provides novel insights for targeted interventions and biomarker development.

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