Evidence map›Paper›PMID 32920092›Full record

ArticleThe Journal of allergy and clinical immunology2021

Characterization of the cytokine storm reflects hyperinflammatory endothelial dysfunction in COVID-19.

Jonathan T Sims, Venkatesh Krishnan, Ching-Yun Chang, Sarah M Engle, Giacomo Casalini, George H Rodgers, Nicoletta Bivi, Brian J Nickoloff, Robert J Konrad, Stephanie de Bono and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of allergy and clinical immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 4 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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  13. Overexpression ofJournal of clinical medicine · 2026
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  18. IFN Lambda Deficiency Contributes to Severe COVID-19 Outcomes.International journal of molecular sciences · 2024
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  20. Association of theViruses · 2024
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49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 3 countries.

Jonathan T SimsEli Lilly and Company, Indianapolis, Ind.
Venkatesh KrishnanEli Lilly and Company, Indianapolis, Ind. Electronic address: krishnan_gary@lilly.com.
Ching-Yun ChangEli Lilly and Company, Indianapolis, Ind.
Sarah M EngleEli Lilly and Company, Indianapolis, Ind.
Giacomo CasaliniLuigi Sacco Department of Clinical and Biomedical Sciences, University of Milan, Milan, Italy.
George H RodgersEli Lilly and Company, Indianapolis, Ind.
Nicoletta BiviEli Lilly and Company, Indianapolis, Ind.
Brian J NickoloffEli Lilly and Company, Indianapolis, Ind.
Robert J KonradEli Lilly and Company, Indianapolis, Ind.
Stephanie de BonoEli Lilly and Company, Indianapolis, Ind.
Richard E HiggsEli Lilly and Company, Indianapolis, Ind.
Robert J BenschopEli Lilly and Company, Indianapolis, Ind.
Silvia OttavianiDepartment of Surgery and Cancer, Imperial College, London, United Kingdom.
Anabela CardosoEli Lilly and Company, Indianapolis, Ind.
Ajay NirulaEli Lilly and Company, Indianapolis, Ind.
Mario CorbellinoDivision of Infectious Diseases, ASST Fatebenefratelli Sacco, Milan, Italy.
Justin StebbingDepartment of Surgery and Cancer, Imperial College, London, United Kingdom. Electronic address: j.stebbing@imperial.ac.uk.
Eli Lilly (United States) · USImperial College London · GBASST Fatebenefratelli Sacco · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysicians treating patients with coronavirus disease 2019 (COVID-19) increasingly believe that the hyperinflammatory acute stage of COVID-19 results in a cytokine storm. The circulating biomarkers seen across the spectrum of COVID-19 have not been characterized compared with healthy controls, but such analyses are likely to yield insights into the pursuit of interventions that adequately reduce the burden of these cytokine storms.

objectiveTo identify and characterize the host inflammatory response to severe acute respiratory syndrome coronavirus 2 infection, we assessed levels of proteins related to immune responses and cardiovascular disease in patients stratified as mild, moderate, and severe versus matched healthy controls.

methodsBlood samples from adult patients hospitalized with COVID-19 were analyzed using high-throughput and ultrasensitive proteomic platforms and compared with age- and sex-matched healthy controls to provide insights into differential regulation of 185 markers.

resultsResults indicate a dominant hyperinflammatory milieu in the circulation and vascular endothelial damage markers within patients with COVID-19, and strong biomarker association with patient response as measured by Ordinal Scale. As patients progress, we observe statistically significant dysregulation of IFN-γ, IL-1RA, IL-6, IL-10, IL-19, monocyte chemoattractant protein (MCP)-1, MCP-2, MCP-3, CXCL9, CXCL10, CXCL5, ENRAGE, and poly (ADP-ribose) polymerase 1. Furthermore, in a limited series of patients who were sampled frequently, confirming reliability and reproducibility of our assays, we demonstrate that intervention with baricitinib attenuates these circulating biomarkers associated with the cytokine storm.

conclusionsThese wide-ranging circulating biomarkers show an association with increased disease severity and may help stratify patients and selection of therapeutic options. They also provide insights into mechanisms of severe acute respiratory syndrome coronavirus 2 pathogenesis and the host response.

Indexed as

ProteomicsAdultBiomarkersCOVID-19Cytokine Release SyndromeCytokinesFemaleHumansMalePoly (ADP-Ribose) Polymerase-1SARS-CoV-2BiomarkersCytokinesPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1baricitinibbiomarkerscardiovascularCOVID-19inflammationOrdinal Scale

Identifiers

PMID32920092
PMCPMC7488591
OpenAlexW3084705004

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.