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Record W2955965363 · doi:10.1139/cjm-2019-0212

Effect of peptidases secreted by the opportunistic pathogen <i>Scedosporium aurantiacum</i> on human epithelial cells

2019· article· en· W2955965363 on OpenAlexvenueno aff
Zhiping Han, Liisa Kautto, Wieland Meyer, Sharon C.‐A. Chen, Helena Nevalainen

Bibliographic record

VenueCanadian Journal of Microbiology · 2019
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsnot available
FundersMacquarie University
KeywordsViability assayBiologyElastaseNeutrophil elastaseA549 cellEnzymeCellBiochemistryProteolytic enzymesMicrobiologyIn vitroPancreatic elastaseChymotrypsinMolecular biologyTrypsinImmunologyInflammation

Abstract

fetched live from OpenAlex

Peptidases secreted by a clinical high-virulence Scedosporium aurantiacum isolate (strain WM 06.482; CBS 136046) under normoxic and hypoxic conditions were separated via size-exclusion chromatography, and peptidase activities present in each fraction were determined using class-specific substrates. The fractions demonstrating peptidase activity were assessed for their effects on the attachment and viability of A549 human lung epithelial cells in vitro. Of the peptidases detected in the size-exclusion chromatography fractions, the elastase-like peptidase reduced cell viability, the chymotrypsin-like peptidase was associated with cell detachment, and the cysteine peptidases were able to abolish both cell attachment and viability. The loss of cell viability and attachment became more prominent with an increase in the peptidase activity and could also be specifically prevented by addition of class-specific peptidase inhibitors. Our findings indicate that peptidases secreted by S. aurantiacum can breach the human alveolar epithelial cell barrier and, thus, may have a role in the pathobiology of the organism.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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.

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

Citations6
Published2019
Admission routes1
Has abstractyes

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