Transient limb ischaemia remotely preconditions through a humoral mechanism acting directly on the myocardium: evidence suggesting cross-species protection
Bibliographic record
Abstract
rIPC (remote ischaemic preconditioning) is a phenomenon whereby short periods of ischaemia and reperfusion of a tissue or organ (e.g. mesentery, kidney) can protect a distant tissue or organ (e.g. heart) against subsequent, potentially lethal, ischaemia. We, and others, have shown that transient limb ischaemia can provide potent myocardial protection experimentally and clinically during cardiac surgery. Nonetheless, our understanding of the signal transduction from remote stimulus to local effect remains incomplete. The aim of the present study was to define the humoral nature of rIPC effector(s) from limb ischaemia and to study their local effects in isolated heart and cardiomyocyte models. Using a Langendorff preparation, we show that infarct size after coronary artery ligation and reperfusion was substantially reduced by rIPC in vivo, this stimulus up-regulating the MAPKs (mitogen-activating protein kinases) p42/p44, and inducing PKCepsilon (protein kinase Cepsilon) subcellular redistribution. Pre-treatment with the plasma and dialysate of plasma (obtained using 15 kDa cut-off dialysis membrane) from donor rabbits subjected to rIPC similarly protected against infarction. The effectiveness of the rIPC dialysate was abrogated by passage through a C18 hydrophobic column, but eluate from this column provided the same level of protection. The dialysate of rIPC plasma from rabbits and humans was also tested in an isolated fresh cardiomyocyte model of simulated ischaemia and reperfusion. Necrosis in cardiomyocytes treated with rIPC dialysate was substantially reduced compared with control, and was similar to cells pre-treated by 'classical' preconditioning. This effect, by rabbit rIPC dialysate, was blocked by pre-treatment with the opiate receptor blocker naloxone. In conclusion, in vivo transient limb ischaemia releases a low-molecular-mass (<15 kDa) hydrophobic circulating factor(s) which induce(s) a potent protection against myocardial ischaemia/reperfusion injury in Langendorff-perfused hearts and isolated cardiomyocytes in the same species. This cardioprotection is transferable across species, independent of local neurogenic activity, and requires opioid receptor activation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".