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1.
Int J Environ Res Public Health ; 19(6)2022 03 15.
Article in English | MEDLINE | ID: covidwho-1742460

ABSTRACT

BACKGROUND: Lung cancer patients have the worst outcomes when affected by coronavirus disease 2019 (COVID-19). The molecular mechanisms underlying the association between lung cancer and COVID-19 remain unknown. The objective of this investigation was to determine whether there is crosstalk in molecular perturbation between COVID-19 and lung cancer, and to identify a molecular signature, molecular networks and signaling pathways shared by the two diseases. METHODS: We analyzed publicly available gene expression data from 52 severely affected COVID-19 human lung samples, 594 lung tumor samples and 54 normal disease-free lung samples. We performed network and pathways analysis to identify molecular networks and signaling pathways shared by the two diseases. RESULTS: The investigation revealed a signature of genes associated with both diseases and signatures of genes uniquely associated with each disease, confirming crosstalk in molecular perturbation between COVID-19 and lung cancer. In addition, the analysis revealed molecular networks and signaling pathways associated with both diseases. CONCLUSIONS: The investigation revealed crosstalk in molecular perturbation between COVID-19 and lung cancer, and molecular networks and signaling pathways associated with the two diseases. Further research on a population impacted by both diseases is recommended to elucidate molecular drivers of the association between the two diseases.


Subject(s)
COVID-19 , Lung Neoplasms , Humans , Lung Neoplasms/genetics , Lung Neoplasms/metabolism , Signal Transduction
2.
Front Immunol ; 12: 695972, 2021.
Article in English | MEDLINE | ID: covidwho-1339498

ABSTRACT

COVID-19 ranges from asymptomatic in 35% of cases to severe in 20% of patients. Differences in the type and degree of inflammation appear to determine the severity of the disease. Recent reports show an increase in circulating monocytic-myeloid-derived suppressor cells (M-MDSC) in severe COVID 19 that deplete arginine but are not associated with respiratory complications. Our data shows that differences in the type, function and transcriptome of granulocytic-MDSC (G-MDSC) may in part explain the severity COVID-19, in particular the association with pulmonary complications. Large infiltrates by Arginase 1+ G-MDSC (Arg+G-MDSC), expressing NOX-1 and NOX-2 (important for production of reactive oxygen species) were found in the lungs of patients who died from COVID-19 complications. Increased circulating Arg+G-MDSC depleted arginine, which impaired T cell receptor and endothelial cell function. Transcriptomic signatures of G-MDSC from patients with different stages of COVID-19, revealed that asymptomatic patients had increased expression of pathways and genes associated with type I interferon (IFN), while patients with severe COVID-19 had increased expression of genes associated with arginase production, and granulocyte degranulation and function. These results suggest that asymptomatic patients develop a protective type I IFN response, while patients with severe COVID-19 have an increased inflammatory response that depletes arginine, impairs T cell and endothelial cell function, and causes extensive pulmonary damage. Therefore, inhibition of arginase-1 and/or replenishment of arginine may be important in preventing/treating severe COVID-19.


Subject(s)
COVID-19/immunology , Granulocytes/immunology , Myeloid-Derived Suppressor Cells/immunology , SARS-CoV-2/immunology , Adult , Aged , Aged, 80 and over , Antiviral Agents/administration & dosage , Arginase/antagonists & inhibitors , Arginase/metabolism , Arginine/administration & dosage , Arginine/blood , Arginine/metabolism , Asymptomatic Infections , COVID-19/blood , COVID-19/diagnosis , Case-Control Studies , Drug Therapy, Combination/methods , Enzyme Inhibitors/administration & dosage , Female , Granulocytes/metabolism , Healthy Volunteers , Humans , Interferon Type I/metabolism , Male , Middle Aged , Myeloid-Derived Suppressor Cells/metabolism , Severity of Illness Index , Signal Transduction/immunology , T-Lymphocytes/immunology , COVID-19 Drug Treatment
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