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Record W2158577141 · doi:10.4049/jimmunol.1203196

Regulator of Calcineurin 1 Suppresses Inflammation during Respiratory Tract Infections

2013· article· en· W2158577141 on OpenAlexaff
Robert D. Junkins, Adam J. MacNeil, Zhengli Wu, Craig McCormick, Tong‐Jun Lin

Bibliographic record

VenueThe Journal of Immunology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsBeatrice Hunter Cancer Research InstituteIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsRegulatorCalcineurinInflammationRespiratory tractNegative regulatorImmunologyRespiratory systemRespiratory tract infectionsMedicineBiologyMicrobiologyInternal medicineCell biologySignal transductionTransplantationBiochemistry

Abstract

fetched live from OpenAlex

Respiratory tract infection with Pseudomonas aeruginosa is a common cause of hospitalization in immune-compromised individuals. However, the molecular mechanisms involved in the immune response to P. aeruginosa lung infection remain incompletely defined. In this study, we demonstrate that the regulator of calcineurin 1 (RCAN1) is a central negative regulator of inflammation in a mouse model of acute bacterial pneumonia using the opportunistic bacterial pathogen P. aeruginosa. RCAN1-deficient mice display greatly increased mortality following P. aeruginosa lung infection despite enhanced neutrophil recruitment and bacterial clearance. This mortality is associated with higher systemic levels of proinflammatory cytokines in RCAN1-deficient animals. These aberrant inflammatory responses coincide with increased transcriptional activity of proinflammatory RCAN1-target proteins NFAT and NF-κB. In addition, we reveal a novel regulatory role for RCAN1 in the ERK/STAT3 pathway both in vitro and in vivo, suggesting that aberrant STAT3 activity may significantly contribute to delayed resolution of inflammatory responses in our model. Together, these findings demonstrate that RCAN1 is a potent negative regulator of inflammation during respiratory tract infections.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.238
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2013
Admission routes1
Has abstractyes

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