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Inhibition of Metalloproteinase Activity Promotes PMVEC Barrier Function Under Septic Conditions

2020· article· en· W3017109920 on OpenAlexaff
Devika P. Jayawardena, Sanjay Mehta, Lefeng Wang, Cynthia Pape, Sean E. Gill

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsMetalloproteinaseMatrix metalloproteinaseInflammationBarrier functionCell biologyBiologyChemistryImmunologyBiochemistry

Abstract

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Background Sepsis is a life‐threatening human disease with significant mortality characterized by excessive inflammation, which can lead to endothelial dysfunction, microvascular injury and organ damage. During sepsis, endothelial cells, especially the pulmonary microvascular endothelial cells (PMVEC), become injured leading to loss of barrier function and accumulation of protein‐rich edematous fluid. Metalloproteinases, including the matrix metalloproteinase (MMP) and a disintegrin and metalloproteinase (ADAM) families, are capable of cleaving cell surface proteins, such as cell‐cell junctional proteins, suggesting a potential role in septic PMVEC barrier dysfunction. Metalloproteinase activity is regulated by the tissue inhibitors of metalloproteinases (TIMPs). Recent work in our lab found that PMVEC lacking TIMP3, a critical regulator of both MMP and ADAM activity, had increased permeability compared to wild type (WT) PMVEC. Hypothesis We hypothesize that PMVEC‐derived metalloproteinase activity will be increased under septic conditions and that vascular permeability will be reduced with the application of synthetic metalloproteinase inhibitors. Materials and Methods PMVEC isolated from WT and Timp3 −/− mice were stimulated with PBS (control) or cytomix (equimolar tumour necrosis factor α, interferon γ, and interleukin 1β) + lipopolysaccharide (LPS; septic) for 4 hours. Metalloproteinase activity was then assessed in the conditioned media and cell lysate, and trans‐PMVEC macromolecular flux was assessed using Evans blue‐labelled albumin. Additionally, PMVEC surface localization of VE‐cadherin (adherens junction) and claudin‐5 (tight junction) was assessed by immunofluorescence on WT and Timp3 −/− PMVEC. To confirm the role of metalloproteinases, WT and Timp3 −/− PMVEC were treated with synthetic metalloproteinase inhibitors. Results Analysis of metalloproteinase activity revealed increased MMP13 and ADAM17 activity in septic PMVEC and Timp3 −/− PMVEC leading to a loss of inter‐PMVEC junctional proteins and subsequent PMVEC barrier dysfunction. Importantly, the application of synthetic metalloproteinase inhibitors such as BB94, CL82198 and TAPI2 reduced the permeability and disruption of VE‐cadherin and claudin 5 under septic conditions. Discussion and conclusion Increased metalloproteinase activity under septic conditions is associated with disrupted inter‐PMVEC junctional protein localization and loss of barrier function suggesting metalloproteinases are critical mediators of septic PMVEC barrier dysfunction. Further, PMVEC‐derived TIMP3 appears to be an important regulator of PMVEC‐derived metalloproteinase activity as loss of TIMP3 is associated with increased metalloproteinase activity and subsequent PMVEC barrier dysfunction. Thus, these studies suggest that inhibition of metalloproteinase activity may promote PMVEC barrier function by reducing inter‐junctional protein degradation during sepsis and thereby reducing septic vascular permeability. Support or Funding Information OTSHeart and Stroke OGS

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 score0.005

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)0.0010.000

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 head0.079
GPT teacher head0.309
Teacher spread0.230 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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