The role of tissue inhibitors of metalloproteinases in microvascular endothelial cell barrier dysfunction during sepsis
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".