ArticleiScience2021
Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- FGL-1 plasma levels correlate with markers of inflammation and severe disease during SARS-CoV-2 infection.Communications medicine · 2026Article
- Clinical surrogates of dysautonomia predict lethal outcome in COVID-19 on intensive care unit.Neurological research and practice · 2023Article
- Frequency of IRF5+ dendritic cells is associated with the TLR7-induced inflammatory cytokine response in SARS-CoV-2 infection.Cytokine · 2023Article
- Respiratory and systemic monocytes, dendritic cells, and myeloid-derived suppressor cells in COVID-19: Implications for disease severity.Journal of internal medicine · 2023Review
- Absence of self-reported neuropsychiatric and somatic symptoms after Omicron variant SARS-CoV-2 breakthrough infections.Brain communications · 2023Article
- The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19.Cell reports. Medicine · 2022Article
- Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes.PLoS computational biology · 2022Article
- Review
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 is a respiratory tract infection that can affect multiple organ systems. Predicting the severity and clinical outcome of individual patients is a major unmet clinical need that remains challenging due to intra- and inter-patient variability. Here, we longitudinally profiled and integrated more than 150 clinical, laboratory, and immunological parameters of 173 patients with mild to fatal COVID-19. Using systems biology, we detected progressive dysregulation of multiple parameters indicative of organ damage that correlated with disease severity, particularly affecting kidneys, hepatobiliary system, and immune landscape. By performing unsupervised clustering and trajectory analysis, we identified T and B cell depletion as early indicators of a complicated disease course. In addition, markers of hepatobiliary damage emerged as robust predictor of lethal outcome in critically ill patients. This allowed us to propose a novel clinical
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.