Evidence map›Paper›PMID 22003092›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2012

Airway epithelial cells suppress T cell proliferation by an IFNγ/STAT1/TGFβ-dependent mechanism.

Christine M Deppong, Jian Xu, Steven L Brody, Jonathan M Green

Abstract read
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A detailed phenotypic analysis of immune cell populations in the bronchoalveolar lavage fluid of atopic asthmatics after segmental allergen challenge.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2013
    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.

Christine M DeppongDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Jian Xu
Steven L Brody
Jonathan M Green

Funding

Tissue and Cell Processing CoreU19AI070489 · NIAID · WASHINGTON UNIVERSITY · PI HOLTZMAN, MICHAEL J · 2006 to 2016
$17.9M
PRINCIPLES IN PULMONARY RESEARCHT32HL007317 · NHLBI · WASHINGTON UNIVERSITY · PI Steven Brody, Michael J Holtzman · 1985 to 2026
$16.1M
STRUCTURAL BASIS OF CD28 REGULATION OF LUNG INFLAMMATIONR01HL062683 · NHLBI · WASHINGTON UNIVERSITY · PI GREEN, JONATHAN M. · 2000 to 2014
$4.5M
NHLBI NIH HHS R01 HL062683NHLBI NIH HHS T32 HL-07317NIAID NIH HHS U19 AI-070489
6 · The paper itself

Abstract

Organ-specific regulation of immune responses relies on the exchange of information between nonimmune and immune cells. In a primary culture model of the lung airway, we demonstrate that T cell proliferation is potently inhibited by airway epithelial cells (ECs). This is mediated by activation of the IFNγ/STAT1 pathway in the EC and transforming growth factor-β (TGFβ)-dependent suppression of T cell proliferation. In this way, the EC can restrict the expansion of T cells. Given the constant exposure of the airway to inhaled antigen, this may be important in setting a threshold for the initiation of T cell-dependent immune responses and preventing unwanted, chronic inflammation.

Indexed as

Epithelial CellsInterferon-gammaSTAT1 Transcription FactorT-LymphocytesTransforming Growth Factor betaAnimalsCell ProliferationCoculture TechniquesLymphocyte ActivationMiceMice, Inbred C57BLPneumoniaSignal TransductionTracheaInterferon-gammaStat1 protein, mouseSTAT1 Transcription FactorTransforming Growth Factor beta

Identifiers

PMID22003092
PMCPMC3349368

What OpenQuestion holds

Textmetadata
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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.