Response to: ‘Are patients with systemic lupus erythematosus at increased risk for COVID-19?‘ by Favalli et al

Mathian, Alexis; Amoura, Zahir

doi:10.1136/annrheumdis-2020-217859

Cited by 1 publication

(2 citation statements)

References 6 publications

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“…This suggests that coronavirus infection may share disease conditions with these infections. Interestingly, we also noted enrichment of systemic lupus erythematosus (SLE)related genes, which is a chronic disease associated with inflammation in connective tissues and affects multiple organs, including the blood-forming system 30,31 . This suggests that coronavirus infection and SLE may be related to each other with respect to disease symptoms.…”

Section: Potential Role For a Network Of Related Pathways Representinmentioning

confidence: 85%

“…This suggests that coronavirus infection and SLE may be related to each other with respect to disease symptoms. The prevalence and risk factors of severe COVID-19 in SLE patients remain unclear 30,31 . The understanding at the systemic level and additional clinical reports are needed to know whether certain COVID-19 disease conditions may be associated with SLE.…”

Section: Potential Role For a Network Of Related Pathways Representinmentioning

confidence: 99%

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A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients

et al. 2020

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COVID-19 patients show heterogeneity in clinical presentation and outcomes that makes pandemic control and strategy difficult; optimizing management requires a systems biology approach of understanding the disease. Here we sought to potentially understand and infer complex disease progression, immune regulation, and symptoms in patients infected with coronaviruses (35 SARS-CoV and 3 SARS-CoV-2 patients and 57 samples) at two different disease progression stages. Further, we compared coronavirus data with healthy individuals (n = 16) and patients with other infections (n = 144; all publicly available data). We applied inferential statistics (the COVID-engine platform) to RNA profiles (from limited number of samples) derived from peripheral blood mononuclear cells (PBMCs). Compared to healthy individuals, a subset of integrated blood-based gene profiles (signatures) distinguished acute-like (mimicking coronavirus-infected patients with prolonged hospitalization) from recovering-like patients. These signatures also hierarchically represented multiple (at the system level) parameters associated with PBMC including dysregulated cytokines, genes, pathways, networks of pathways/concepts, immune status, and cell types. Proof-of-principle observations included PBMC-based increases in cytokine storm-associated IL6, enhanced innate immunity (macrophages and neutrophils), and lower adaptive T and B cell immunity in patients with acute-like disease compared to those with recovery-like disease. Patients in the recovery-like stage showed significantly enhanced TNF, IFN-γ, anti-viral, HLA-DQA1, and HLA-F gene expression and cytolytic activity, and reduced pro-viral gene expression compared to those in the acute-like stage in PBMC. Besides, our analysis revealed overlapping genes associated with potential comorbidities (associated diabetes) and disease-like conditions (associated with thromboembolism, pneumonia, lung disease, and septicemia). Overall, our COVID-engine inferential statistics platform and study involving PBMC-based RNA profiling may help understand complex and variable system-wide responses displayed by coronavirus-infected patients with further validation.

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Section: Potential Role For a Network Of Related Pathways Representinmentioning

confidence: 85%

Section: Potential Role For a Network Of Related Pathways Representinmentioning

confidence: 99%

A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients

et al. 2020

View full text Add to dashboard Cite

show abstract

Response to: ‘Are patients with systemic lupus erythematosus at increased risk for COVID-19?‘ by Favalli et al

Cited by 1 publication

References 6 publications

A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients

A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients

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