Evidence map›Paper›PMID 23592971›Full record

ArticlePLoS computational biology2013

Systems modeling of molecular mechanisms controlling cytokine-driven CD4+ T cell differentiation and phenotype plasticity.

Adria Carbo, Raquel Hontecillas, Barbara Kronsteiner, Monica Viladomiu, Mireia Pedragosa, Pinyi Lu, Casandra W Philipson, Stefan Hoops, Madhav Marathe, Stephen Eubank and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Targeting ProteinCells · 2022
    Review
  8. Article
  9. Review
  10. Integrative computational approach identifies drug targets in CD4NPJ systems biology and applications · 2021
    Article
  11. Article
  12. Article
  13. Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. A case for the reuse and adaptation of mechanistic computational models to study transplant immunology.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Review
  19. Goals in Nutrition Science 2020-2025.Frontiers in nutrition · 2020
    Review
  20. Review

3 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

15 authors at 2 institutions in 1 country.

Adria CarboNutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia, USA.
Raquel Hontecillas
Barbara Kronsteiner
Monica Viladomiu
Mireia Pedragosa
Pinyi Lu
Casandra W Philipson
Stefan Hoops
Madhav Marathe
Stephen Eubank
Keith Bisset
Katherine Wendelsdorf
Abdul Jarrah
Yongguo Mei
Josep Bassaganya-Riera
Virginia Tech · USVirginia–Maryland College of Veterinary Medicine · US

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
Mechanisms of Immune Modulation by Abscisic AcidR01AT004308 · NCCIH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BASSAGANYA-RIERA, JOSEP · 2007 to 2010
$1.2M
NCCIH NIH HHS 5R01AT004308NCCIH NIH HHS R01 AT004308NIAID NIH HHS HHSN272201000056CNIGMS NIH HHS R01 GM080219
6 · The paper itself

Abstract

Differentiation of CD4+ T cells into effector or regulatory phenotypes is tightly controlled by the cytokine milieu, complex intracellular signaling networks and numerous transcriptional regulators. We combined experimental approaches and computational modeling to investigate the mechanisms controlling differentiation and plasticity of CD4+ T cells in the gut of mice. Our computational model encompasses the major intracellular pathways involved in CD4+ T cell differentiation into T helper 1 (Th1), Th2, Th17 and induced regulatory T cells (iTreg). Our modeling efforts predicted a critical role for peroxisome proliferator-activated receptor gamma (PPARγ) in modulating plasticity between Th17 and iTreg cells. PPARγ regulates differentiation, activation and cytokine production, thereby controlling the induction of effector and regulatory responses, and is a promising therapeutic target for dysregulated immune responses and inflammation. Our modeling efforts predict that following PPARγ activation, Th17 cells undergo phenotype switch and become iTreg cells. This prediction was validated by results of adoptive transfer studies showing an increase of colonic iTreg and a decrease of Th17 cells in the gut mucosa of mice with colitis following pharmacological activation of PPARγ. Deletion of PPARγ in CD4+ T cells impaired mucosal iTreg and enhanced colitogenic Th17 responses in mice with CD4+ T cell-induced colitis. Thus, for the first time we provide novel molecular evidence in vivo demonstrating that PPARγ in addition to regulating CD4+ T cell differentiation also plays a major role controlling Th17 and iTreg plasticity in the gut mucosa.

Indexed as

AnimalsCD4-Positive T-LymphocytesCell DifferentiationComputational BiologyComputer SimulationCytokinesDose-Response Relationship, DrugFlow CytometryImmunophenotypingMiceMice, Inbred C57BLMice, SCIDModels, MolecularModels, TheoreticalPhenotypePPAR gammaCytokinesPPAR gamma

Identifiers

PMID23592971
PMCPMC3617204
OpenAlexW2041924570

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.