Interleukin-10 controls the protective effects of circulating microparticles from patients with septic shock on tissue-engineered vascular media
Bibliographic record
Abstract
During sepsis, inflammation can be orchestrated by the interaction between circulating and vascular cells that, under activation, release MPs (microparticles). Previously, we reported that increased circulating MPs in patients with sepsis play a pivotal role in ex vivo vascular function suggesting that they are protective against vascular hyporeactivity. The present study was designed to investigate the effects of MPs from patients with sepsis on the contractile response of TEVM (tissue-engineered vascular media). TEVM that were composed only of a media layer were produced by tissue engineering from human arterial SMCs (smooth muscle cells) isolated from umbilical cords. TEVM was incubated with MPs isolated from whole blood of 16 patients with sepsis. TEVM were incubated for 24 h with MPs and used for the study of vascular contraction, direct measurements of NO and O2- (superoxide anion) production by EPR and quantification of mRNA cytokine expression. MPs from patients with sepsis increased contraction induced by histamine in TEVM. This effect was not associated with inflammation, neither linked to the activation of NF-κB (nuclear factor κB) pathway nor to the increase in iNOS (inducible NO synthase) and COX (cyclo-oxygenase)-2 expression. In contrast, mRNA expression of IL (interleukin)-10 was enhanced. Then, we investigated the effect of IL-10 on vascular hyporeactivity induced by LPS (lipopolysaccharide). Although IL-10 treatment did not modify the contractile response in TEVM by itself, this interleukin restored contraction in LPS-treated TEVM. In addition, IL-10 treatment both prevented vascular hyporeactivity induced by LPS injection in mice and improved survival of LPS-injected mice. These findings show an association between the capacity of MPs from patients with sepsis to restore vascular hyporeactivity induced by LPS and their ability to increase IL-10 in the tissue-engineered blood vessel model.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".