Evidence map›Paper›PMID 34486798›Full record

ArticleMolecular systems biology2021

Machine learning identifies molecular regulators and therapeutics for targeting SARS-CoV2-induced cytokine release.

Marina Chan, Siddharth Vijay, John McNevin, M Juliana McElrath, Eric C Holland, Taranjit S Gujral

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  3. A systems approach identifies MERTK as a therapeutic vulnerability in ZFTA-RELA-driven ependymomas.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

6 authors at 2 institutions in 1 country.

Marina ChanHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Siddharth VijayHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
John McNevinVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-9893-9256
M Juliana McElrathVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0003-2276-7117
Eric C HollandHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-3792-7120
Taranjit S GujralHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-4453-3031
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Fred Hutch COVID19 Pilot FundNCI NIH HHS P30 CA015704NIH HHS S10 OD028685
6 · The paper itself

Abstract

Although 15-20% of COVID-19 patients experience hyper-inflammation induced by massive cytokine production, cellular triggers of this process and strategies to target them remain poorly understood. Here, we show that the N-terminal domain (NTD) of the SARS-CoV-2 spike protein substantially induces multiple inflammatory molecules in myeloid cells and human PBMCs. Using a combination of phenotypic screening with machine learning-based modeling, we identified and experimentally validated several protein kinases, including JAK1, EPHA7, IRAK1, MAPK12, and MAP3K8, as essential downstream mediators of NTD-induced cytokine production, implicating the role of multiple signaling pathways in cytokine release. Further, we found several FDA-approved drugs, including ponatinib, and cobimetinib as potent inhibitors of the NTD-mediated cytokine release. Treatment with ponatinib outperforms other drugs, including dexamethasone and baricitinib, inhibiting all cytokines in response to the NTD from SARS-CoV-2 and emerging variants. Finally, ponatinib treatment inhibits lipopolysaccharide-mediated cytokine release in myeloid cells in vitro and lung inflammation mouse model. Together, we propose that agents targeting multiple kinases required for SARS-CoV-2-mediated cytokine release, such as ponatinib, may represent an attractive therapeutic option for treating moderate to severe COVID-19.

Indexed as

AnimalsAntiviral AgentsAzetidinesCytokinesHost-Pathogen InteractionsHumansImidazolesInterleukin-1 Receptor-Associated KinasesJanus Kinase 1LipopolysaccharidesMachine LearningMaleMiceMice, Inbred C57BLNeutrophilsProtein Kinase InhibitorsAntiviral AgentsAzetidinesbaricitinibCytokinesImidazolesInterleukin-1 Receptor-Associated KinasesIRAK1 protein, humanJAK1 protein, humanJanus Kinase 1LipopolysaccharidesponatinibProtein Kinase InhibitorsPurinesPyrazolesPyridazinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Sulfonamideskinasesmachine learningN-terminal domainPonatinibSARS-CoV-2

Identifiers

PMID34486798
PMCPMC8420181
OpenAlexW3194213794

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.