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Record W2921387653 · doi:10.1093/jcag/gwz006.034

A35 NEUTROPHIL ELASTASE PROTEOLYTIC ACTIVITY DRIVES A NOVEL PRO-RESOLUTION CELL MIGRATION PHENOTYPE

2019· article· en· W2921387653 on OpenAlexaffabout
Marilyn Gordon, Antoine Dufour, Wallace K. MacNaughton

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsProteasesProteolysisNeutrophil elastaseInflammationElastaseWound healingProteolytic enzymesCell biologyChemistryBiologyBiochemistryImmunologyEnzyme

Abstract

fetched live from OpenAlex

Neutrophils are the first immune cells recruited to areas of inflammation in inflammatory bowel disease (IBD) and sustained infiltration of activated neutrophils in inflamed tissue is a hallmark of disease. Neutrophils release high levels of reactive oxygen species and a variety of promiscuous proteases, including neutrophil elastase (NE), to destroy invading pathogens which can significantly damage the surrounding tissue. Elevated presence of uncontrolled proteases negatively contribute to the pathology of an inflammatory microenvironment. Neutrophils and their proteases are key players in the prelude to and resolution of inflammation. We have been studying how proteases can induce a switch in the colonic epithelium from a barrier to a repair phenotype during disrupted homeostasis via proteolytic processing of junctional proteins. Previously we have identified peptide fragments of E-cadherin generated by NE proteolysis which promote wound resolution independently of the full-length protein. We hypothesize that NE impacts wound resolution and tissue homeostasis through its proteolytic activity leading to the generation of bioactive peptide fragments. NE activity was determined using a fluorogenic substrate IV reporter and heat denaturation was used to inhibit the enzymatic activity of NE. Quantitative N-terminomics TAILS (Terminal amine isotopic labelling of substrates) was used to identify natural and neo-N-termini from IBD patients. Wound healing in Caco-2 cells was assayed using the IncuCyte™ live-cell imaging system with scratch wounds followed by exposure to 0.1- 500 ng/mL of NE. We found an enrichment of neo-N-termini in inflamed IBD patient samples compared to healthy controls. Many proteins were identified to be differentially cleaved in IBD vs control tissues, suggesting altered proteolysis and a possible novel proteolytic post-translational signature contributing to epithelial homeostasis and resolution programming in the inflammatory milieu. Low-dose purified NE increased wound closure of CaCo2 monolayers in a concentration dependent manner with 1 ng/mL having the most significant effect (p<0.05). This effect was dependent upon NE proteolytic activity as the effect on wound healing was blocked with heat inactivation. These effects were determined to be due to an increased cellular migration program. We have previously shown a novel role for NE to process the adherens junction protein E-cadherin to generate peptide fragments with effects on epithelial function and now demonstrate that low levels of NE can be pro-resolution. Our data contribute to our understanding of the multi-axis signaling mechanisms underlying mucosal repair as regulated by innate immune cell proteases and suggests a new mechanisms of repair driving signaling that may be dysregulated during IBD and other chronic inflammatory diseases. CCC, CIHRUniversity Research Grants Committee (University of Calgary)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.005
GPT teacher head0.193
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes2
Has abstractyes

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