Differences and Similarities between the Lung Transcriptomic Profiles of COVID-19, COPD, and IPF Patients: A Meta-Analysis Study of Pathophysiological Signaling Pathways.
Daniel AguilarAdelaida BosacomaIsabel BlancoOlga Tura-CeideAnna Serrano-MollarJoan Albert BarberàVictor Ivo PeinadoPublished in: Life (Basel, Switzerland) (2022)
Coronavirus disease 2019 (COVID-19) is a pandemic respiratory disease associated with high morbidity and mortality. Although many patients recover, long-term sequelae after infection have become increasingly recognized and concerning. Among other sequelae, the available data indicate that many patients who recover from COVID-19 could develop fibrotic abnormalities over time. To understand the basic pathophysiology underlying the development of long-term pulmonary fibrosis in COVID-19, as well as the higher mortality rates in patients with pre-existing lung diseases, we compared the transcriptomic fingerprints among patients with COVID-19, idiopathic pulmonary fibrosis (IPF), and chronic obstructive pulmonary disease (COPD) using interactomic analysis. Patients who died of COVID-19 shared some of the molecular biological processes triggered in patients with IPF, such as those related to immune response, airway remodeling, and wound healing, which could explain the radiological images seen in some patients after discharge. However, other aspects of this transcriptomic profile did not resemble the profile associated with irreversible fibrotic processes in IPF. Our mathematical approach instead showed that the molecular processes that were altered in COVID-19 patients more closely resembled those observed in COPD. These data indicate that patients with COPD, who have overcome COVID-19, might experience a faster decline in lung function that will undoubtedly affect global health.
Keyphrases
- coronavirus disease
- idiopathic pulmonary fibrosis
- chronic obstructive pulmonary disease
- sars cov
- lung function
- end stage renal disease
- ejection fraction
- newly diagnosed
- immune response
- respiratory syndrome coronavirus
- peritoneal dialysis
- chronic kidney disease
- cystic fibrosis
- air pollution
- prognostic factors
- cardiovascular disease
- public health
- patient reported outcomes
- systemic sclerosis
- cell proliferation
- electronic health record
- wound healing
- cardiovascular events
- deep learning
- risk factors
- big data
- toll like receptor
- pi k akt
- induced apoptosis