Evidence map›Paper›PMID 34571891›Full record

ArticleCells2021

CytokineLink: A Cytokine Communication Map to Analyse Immune Responses-Case Studies in Inflammatory Bowel Disease and COVID-19.

Marton Olbei, John P Thomas, Isabelle Hautefort, Agatha Treveil, Balazs Bohar, Matthew Madgwick, Lejla Gul, Luca Csabai, Dezso Modos, Tamas Korcsmaros

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Measuring criticality in control of complex biological networks.NPJ systems biology and applications · 2024
    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

10 authors at 4 institutions in 2 countries.

Marton OlbeiEarlham Institute, Norwich NR4 7UZ, UK.ORCID 0000-0002-4903-6237
John P ThomasEarlham Institute, Norwich NR4 7UZ, UK.
Isabelle HautefortEarlham Institute, Norwich NR4 7UZ, UK.
Agatha TreveilEarlham Institute, Norwich NR4 7UZ, UK.ORCID 0000-0002-5600-8189
Balazs BoharEarlham Institute, Norwich NR4 7UZ, UK.
Matthew MadgwickEarlham Institute, Norwich NR4 7UZ, UK.
Lejla GulEarlham Institute, Norwich NR4 7UZ, UK.
Luca CsabaiEarlham Institute, Norwich NR4 7UZ, UK.
Dezso ModosEarlham Institute, Norwich NR4 7UZ, UK.ORCID 0000-0001-9412-6867
Tamas KorcsmarosEarlham Institute, Norwich NR4 7UZ, UK.ORCID 0000-0003-1717-996X
Quadram Institute · GBEarlham Institute · GBEötvös Loránd University · HUNorfolk and Norwich University Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10353Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10355Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817UKRI BBSRC UK BB/J004529/1, BB/P016774/1, BB/CSP17270/1, BBS/E/T/000PR981, BBS/E/T/000PR9817, BB/R012490/1, BBS/E/F/000PR10353, BBS/E/F/000PR10355UKRI BBSRC UK BB/M011216/, BB/S50743X/1
6 · The paper itself

Abstract

Intercellular communication mediated by cytokines is critical to the development of immune responses, particularly in the context of infectious and inflammatory diseases. By releasing these small molecular weight peptides, the source cells can influence numerous intracellular processes in the target cells, including the secretion of other cytokines downstream. However, there are no readily available bioinformatic resources that can model cytokine-cytokine interactions. In this effort, we built a communication map between major tissues and blood cells that reveals how cytokine-mediated intercellular networks form during homeostatic conditions. We collated the most prevalent cytokines from the literature and assigned the proteins and their corresponding receptors to source tissue and blood cell types based on enriched consensus RNA-Seq data from the Human Protein Atlas database. To assign more confidence to the interactions, we integrated the literature information on cell-cytokine interactions from two systems of immunology databases, immuneXpresso and ImmunoGlobe. From the collated information, we defined two metanetworks: a cell-cell communication network connected by cytokines; and a cytokine-cytokine interaction network depicting the potential ways in which cytokines can affect the activity of each other. Using expression data from disease states, we then applied this resource to reveal perturbations in cytokine-mediated intercellular signalling in inflammatory and infectious diseases (ulcerative colitis and COVID-19, respectively). For ulcerative colitis, with CytokineLink, we demonstrated a significant rewiring of cytokine-mediated intercellular communication between non-inflamed and inflamed colonic tissues. For COVID-19, we were able to identify cell types and cytokine interactions following SARS-CoV-2 infection, highlighting important cytokine interactions that might contribute to severe illness in a subgroup of patients. Such findings have the potential to inform the development of novel, cytokine-targeted therapeutic strategies. CytokineLink is freely available for the scientific community through the NDEx platform and the project github repository.

Indexed as

ImmunityCell CommunicationColitis, UlcerativeCOVID-19CytokinesDatabases, GeneticHumansInflammatory Bowel DiseasesSignal TransductionCytokinesCOVID-19cytokineCytoscapeinflammatory bowel diseaseNDExnetworkresource

Identifiers

PMID34571891
PMCPMC8469673
OpenAlexW3198741535

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.