Evidence map›Paper›PMID 33536217›Full record

ArticleScience advances2021

Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19.

Sascha Jung, Ilya Potapov, Samyukta Chillara, Antonio Del Sol

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  6. Innate immune recognition against SARS-CoV-2.Inflammation and regeneration · 2023
    Review
  7. Role of the extracellular matrix in COVID-19.World journal of clinical cases · 2023
    Review
  8. Article
  9. Proteoglycans: a common portal for SARS-CoV-2 and extracellular vesicle uptake.American journal of physiology. Cell physiology · 2023
    Review
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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

4 authors at 3 institutions in 2 countries.

Sascha JungComputational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park, Derio 48160, Spain.ORCID 0000-0002-3488-409X
Ilya PotapovComputational Biology Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg.ORCID 0000-0003-3800-8895
Samyukta ChillaraComputational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park, Derio 48160, Spain.
Antonio Del SolComputational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park, Derio 48160, Spain. antonio.delsol@uni.lu.ORCID 0000-0002-9926-617X
CIC bioGUNE · ESIkerbasque · ESUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulations in the inflammatory response of the body to pathogens could progress toward a hyperinflammatory condition amplified by positive feedback loops and associated with increased severity and mortality. Hence, there is a need for identifying therapeutic targets to modulate this pathological immune response. Here, we propose a single cell-based computational methodology for predicting proteins to modulate the dysregulated inflammatory response based on the reconstruction and analysis of functional cell-cell communication networks of physiological and pathological conditions. We validated the proposed method in 12 human disease datasets and performed an in-depth study of patients with mild and severe symptomatology of the coronavirus disease 2019 for predicting novel therapeutic targets. As a result, we identified the extracellular matrix protein versican and Toll-like receptor 2 as potential targets for modulating the inflammatory response. In summary, the proposed method can be of great utility in systematically identifying therapeutic targets for modulating pathological immune responses.

Indexed as

Cell CommunicationCOVID-19CytokinesHumansImmunity, InnateImmunologic FactorsInflammationLymphocytesReceptors, ChemokineSARS-CoV-2Severity of Illness IndexSystems BiologyToll-Like Receptor 2VersicansCytokinesImmunologic FactorsReceptors, ChemokineToll-Like Receptor 2VCAN protein, humanVersicans

Identifiers

PMID33536217
PMCPMC11323279
OpenAlexW3127860141

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.