Interleukin 1β attenuates vascular α1 adrenergic receptors expression following lipopolysaccharide-induced endotoxemia in rabbits
Bibliographic record
Abstract
BACKGROUND: Studies have shown that interleukin 1β (IL-1β) participates in the down-regulation of vascular reactivity via both nitric oxide-dependent and nitric oxide-independent mechanisms during shock. However, the precise mechanisms of nitric oxide-independent pathway remain to be established. METHODS: The effect of IL-1β on the expression of α1 adrenergic receptors (α1AR) and the relationship with Janus kinase 2-signal transducer and activator of transcription 3 (JAK2-STAT3) pathway were observed using a rabbit model of lipopolysaccharide (LPS)-induced endotoxemia and superior mesenteric arteries (SMAs) in vivo and in vitro, respectively. RESULTS: The vascular reactivity of SMAs to α1AR agonist (phenylephrine) displayed a biphasic change after LPS (significantly increased at 0.5 hour following LPS and then markedly decreased after 2 hours), the α1A, α1B and α1DAR messenger RNA (mRNA) and protein expression seemed a time-dependent decrease following LPS administration, α1A and α1DAR decreased more obviously than α1BAR. IL-1ra (4 µg/mL) partly reversed LPS-induced the decrease of vascular reactivity and down-regulation of α1AR expression. In vitro incubation with IL-1β (12.5-50 ng/mL) significantly decreased the vascular reactivity of SMA to phenylephrine and the expression of α1AR mRNA and protein and elevated the DNA binding ability of STAT3. AG490 (10 µmol/L), an inhibitor of JAK2, partly reversed the IL-1β-induced down-regulation of vascular reactivity and α1AR mRNA and protein expression and suppressed the DNA binding ability of STAT3. CONCLUSION: IL-1β participates in the regulation of vascular hyporeactivity following endotoxemia in rabbit. The mechanism is related to the down-regulation of α1AR expression through activating the JAK2-STAT3 pathway.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".