Ontology type: schema:ScholarlyArticle Open Access: True
2020-12-03
AUTHORSMathieu Blot, Jean-Baptiste Bour, Jean Pierre Quenot, Abderrahmane Bourredjem, Maxime Nguyen, Julien Guy, Serge Monier, Marjolaine Georges, Audrey Large, Auguste Dargent, Alexandre Guilhem, Suzanne Mouries-Martin, Jeremy Barben, Belaid Bouhemad, Pierre-Emmanuel Charles, Pascal Chavanet, Christine Binquet, Lionel Piroth
ABSTRACTBackgroundAlthough immune modulation is a promising therapeutic avenue in coronavirus disease 2019 (COVID-19), the most relevant targets remain to be found. COVID-19 has peculiar characteristics and outcomes, suggesting a unique immunopathogenesis.MethodsThirty-six immunocompetent non-COVID-19 and 27 COVID-19 patients with severe pneumonia were prospectively enrolled in a single center, most requiring intensive care. Clinical and biological characteristics (including T cell phenotype and function and plasma concentrations of 30 cytokines) and outcomes were compared.ResultsAt similar baseline respiratory severity, COVID-19 patients required mechanical ventilation for significantly longer than non-COVID-19 patients (15 [7–22] vs. 4 (0–15) days; p = 0.0049). COVID-19 patients had lower levels of most classical inflammatory cytokines (G-CSF, CCL20, IL-1β, IL-2, IL-6, IL-8, IL-15, TNF-α, TGF-β), but higher plasma concentrations of CXCL10, GM-CSF and CCL5, compared to non-COVID-19 patients. COVID-19 patients displayed similar T-cell exhaustion to non-COVID-19 patients, but with a more unbalanced inflammatory/anti-inflammatory cytokine response (IL-6/IL-10 and TNF-α/IL-10 ratios). Principal component analysis identified two main patterns, with a clear distinction between non-COVID-19 and COVID-19 patients. Multivariate regression analysis confirmed that GM-CSF, CXCL10 and IL-10 levels were independently associated with the duration of mechanical ventilation.ConclusionWe identified a unique cytokine response, with higher plasma GM-CSF and CXCL10 in COVID-19 patients that were independently associated with the longer duration of mechanical ventilation. These cytokines could represent the dysregulated immune response in severe COVID-19, as well as promising therapeutic targets.ClinicalTrials.gov: NCT03505281. More... »
PAGES457
http://scigraph.springernature.com/pub.10.1186/s12967-020-02646-9
DOIhttp://dx.doi.org/10.1186/s12967-020-02646-9
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/33272291
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"url": "https://doi.org/10.1186/s12967-020-02646-9"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12967-020-02646-9'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12967-020-02646-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12967-020-02646-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12967-020-02646-9'
This table displays all metadata directly associated to this object as RDF triples.
365 TRIPLES
22 PREDICATES
117 URIs
103 LITERALS
24 BLANK NODES