Evidence map›Paper›PMID 35102208›Full record

ArticleScientific reports2022

An in silico analysis identifies drugs potentially modulating the cytokine storm triggered by SARS-CoV-2 infection.

Laura Sanchez-Burgos, Gonzalo Gómez-López, Fátima Al-Shahrour, Oscar Fernandez-Capetillo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

4 authors at 2 institutions in 2 countries.

Laura Sanchez-BurgosGenomic Instability Group, Spanish National Cancer Research Centre, 28029, Madrid, Spain.
Gonzalo Gómez-LópezBioinformatics Unit, Spanish National Cancer Research Centre, 28029, Madrid, Spain.
Fátima Al-ShahrourBioinformatics Unit, Spanish National Cancer Research Centre, 28029, Madrid, Spain.
Oscar Fernandez-CapetilloGenomic Instability Group, Spanish National Cancer Research Centre, 28029, Madrid, Spain. ofernandez@cnio.es.
Spanish National Cancer Research Centre · ESScience for Life Laboratory · SE

Funding

Instituto de Salud Carlos III PT17/0009/0011La Caixa Foundation Foundation and the Marie Skłodowska-Curie European Union's Horizon 2020 LCF/BQ/IN17/11620001Spanish Ministry of Science, Innovation and Universities RTI2018-097596-B-I00Spanish Ministry of Science, Innovation and Universities RTI2018-102204-B-I00
6 · The paper itself

Abstract

The ongoing COVID-19 pandemic is one of the biggest health challenges of recent decades. Among the causes of mortality triggered by SARS-CoV-2 infection, the development of an inflammatory "cytokine storm" (CS) plays a determinant role. Here, we used transcriptomic data from the bronchoalveolar lavage fluid (BALF) of COVID-19 patients undergoing a CS to obtain gene-signatures associated to this pathology. Using these signatures, we interrogated the Connectivity Map (CMap) dataset that contains the effects of over 5000 small molecules on the transcriptome of human cell lines, and looked for molecules which effects on transcription mimic or oppose those of the CS. As expected, molecules that potentiate immune responses such as PKC activators are predicted to worsen the CS. In addition, we identified the negative regulation of female hormones among pathways potentially aggravating the CS, which helps to understand the gender-related differences in COVID-19 mortality. Regarding drugs potentially counteracting the CS, we identified glucocorticoids as a top hit, which validates our approach as this is the primary treatment for this pathology. Interestingly, our analysis also reveals a potential effect of MEK inhibitors in reverting the COVID-19 CS, which is supported by in vitro data that confirms the anti-inflammatory properties of these compounds.

Indexed as

Computer SimulationCOVID-19 Drug TreatmentPandemicsSARS-CoV-2Anti-Inflammatory AgentsBronchoalveolar Lavage FluidCOVID-19Cytokine Release SyndromeCytokinesFemaleGene Expression ProfilingGlucocorticoidsHumansMaleMAP Kinase Kinase KinasesMAP Kinase Signaling SystemAnti-Inflammatory AgentsCytokinesGlucocorticoidsMAP Kinase Kinase KinasesProtein Kinase Inhibitors

Identifiers

PMID35102208
PMCPMC8803893
OpenAlexW4210790770

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.