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Record W7061871641

The role of tissue inhibitors of metalloproteinases in microvascular endothelial cell barrier dysfunction during sepsis

2019· review· en· W7061871641 on OpenAlexaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2019
Typereview
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMatrix metalloproteinaseProinflammatory cytokineInflammationExtracellular matrixThrombospondinSepsisEndothelial stem cellCell adhesionMetalloproteinaseBarrier function
DOInot available

Abstract

fetched live from OpenAlex

Devika P Jayawardena,1,2 Nidhi P Kulkarni,1,2 Sean E Gill1–4 1Centre for Critical Illness Research, Lawson Health Research Institute, London, ON, Canada; 2Department of Physiology and Pharmacology, Western University, London, ON, Canada; 3Division of Respirology, Western University, London, ON, Canada; 4Department of Medicine, Western University, London, ON, Canada Abstract: Sepsis is defined as a dysregulated host response to an infection leading to organ dysfunction and failure. During sepsis circulating proinflammatory mediators, such as cytokines and bacterial products, as well as activated inflammatory cells cause dysfunction of the microvasculature, specifically the microvascular endothelial cells (MVECs), leading to loss of MVEC barrier function and increased permeability. While multiple mechanisms are known to initiate septic MVEC barrier dysfunction, our understanding of mechanisms that promote MVEC barrier stability, especially under septic conditions, is limited. Formation and maintenance of the MVEC barrier requires stability of MVEC cell–cell junctions, which control the passage of fluid and macromolecules across the endothelium, as well as the extracellular matrix (ECM), which provides critical signaling cues to MVECs through MVEC–ECM interactions. Importantly, disruption of either MVEC intercellular junctions or of the ECM surrounding MVECs can lead to barrier dysfunction. Metalloproteinases, including the matrix metalloproteinases (MMPs) as well as the closely related a disintegrin and metalloproteinases (ADAMs) and ADAMs with thrombospondin repeats (ADAMTSs), are a family of enzymes capable of proteolytically processing the ECM as well as other proteins associated with MVECs, including cell–cell junctional proteins and leukocyte adhesion receptors. Collectively, this suggests that metalloproteinases may be critical mediators of MVEC barrier function. While metalloproteinases are regulated at multiple levels, the tissue inhibitors of metalloproteinases (TIMPs) are known to be the primary inhibitors of metalloproteinase activity. Moreover, in addition to inhibiting metalloproteinases, TIMPs have also been found to have metalloproteinase-independent functions. Specifically, TIMPs have been found to regulate vascular endothelial growth factor signaling, focal adhesion kinase-dependent cell survival, and leukocyte–MVEC interaction. Thus, TIMPs have the potential to promote MVEC barrier stability and potentially restrict septic MVEC barrier dysfunction through both metalloproteinase-dependent and metalloproteinase-independent mechanisms. Keywords: sepsis, microvascular permeability, inflammation, TIMPs\n 

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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 designOther design
Domainnot available
GenreReview

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

Citations1
Published2019
Admission routes1
Has abstractyes

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