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Sepsis‐Associated Elastase and Proteinase 3 Induce Endothelial Permeability

2017· article· en· W2891220057 on OpenAlexaff
Eric K. Patterson, Gediminas Cepinskas, Ken Inoue, Douglas D. Fraser

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsChildren’s Health Research InstituteWestern UniversityLawson Health Research Institute
Fundersnot available
KeywordsSepsisElastaseUmbilical veinMedicineImmunologyVascular permeabilityEndothelial stem cellInternal medicineIn vitroAndrologyEnzymeChemistryBiochemistry

Abstract

fetched live from OpenAlex

Sepsis is a systemic inflammatory response to known or suspected infection, and associated with microvascular dysfunction and capillary leak. The cause of capillary leak may be due to substances released by activated polymorphonuclear neutrophils (PMNs) that adhere to microvascular endothelial cells. Following binding, PMN often degranulate releasing azurophilic enzymes ( e.g. elastase (HLE) and proteinase 3 (PR3)) at the endothelial surface and into plasma. We hypothesized that the actions of these enzymes, particularly HLE and PR3 contribute to the loss of endothelial integrity. Patients with severe sepsis (sepsis with evidence of at least one organ dysfunctioning), were recruited on admission to the intensive care unit. Patient samples were paired with age and sex‐matched controls. The mean age was 54 ± 12 and 52 ± 11 years for sepsis and controls respectively while both groups had 6/15 males. Septic patient pathogens were determined to be 4 gram positive, 7 gram negative, 1 fungal and 3 culture negative. We employed ELISAs to determine plasma HLE and PR3 concentrations and in vitro assays using human umbilical vein endothelial cells (HUVEC) treated with HLE or PR3. HUVEC monolayer resistance and Texas Red‐Dextran flow‐through were used to determine the enzyme's effect on monolayer integrity. The sepsis plasma concentrations were significantly higher (p < 0.0001) compared to healthy volunteers in both HLE (224 ± 66.0 vs 13.9 ± 0.899 ng/mL) and PR3 (52.2 ± 7.63 vs 8.02 ± 2.18 ng/mL). For in vitro assays, we employed concentrations of HLE and PR3 higher than the plasma measurements in order to more closely mimic conditions at the site of degranulation. Treatment with 1, 2 or 5 μg/mL of either enzyme significantly decreased HUVEC monolayer resistance over the course of 90 minutes compared to control. Further, 1 hour of HLE or PR3 treatment significantly increased HUVEC permeability to Texas Red‐Dextran compared to controls. The loss of endothelial integrity secondary to azurophilic enzyme release by adhered PMNs could result in microvascular dysfunction and capillary leak. Endothelial injury could also exacerbate further PMN recruitment. We conclude that neutrophil degranulation, as evidenced by increased plasma concentrations, can lead to increased endothelial permeability through a mechanism which in part involves the actions of HLE and PR3. Support or Funding Information Funded by the Lawson Health Research Institute Internal Research Fund.

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.300
Teacher spread0.258 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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