Apoptosis following myocardial infarction: cardiomyocytes and beyond – comment on the paper ‘Dynamics of serum‐induced endothelial cell apoptosis in patients with myocardial Infarction’ by Forteza <i>et al</i>.
Bibliographic record
Abstract
Both immediate medical treatment and rapid reperfusion to limit myocardial damage are strongly recommended for the treatment of acute myocardial infarction (AMI) 1, 2. However, beside obvious beneficial effects, reperfusion initiates additional lethal injury, known as ‘ischaemia-reperfusion (IR) injury’ and results in increased cardiac cells death through both necrosis and apoptosis 3 (see Fig. 1 for schematic presentation). Genetic perturbation in animal models of critical proapoptotic pathways involved in IR injury has been demonstrated to be beneficial 4, 5 and underline the involvement of apoptosis in IR lesions. To reduce this phenomenon, various cardioprotective strategies including post-, remote or pharmacological conditioning target specifically IR injury. The ‘noble cell’ to rescue appears often to be the cardiomyocyte. However, other cellular populations are of importance. Nearly 75% of the cells in the healthy heart are not cardiomyocytes 6, representing one-third of the mass or 10% of the volume. Most of these cells are fibroblasts 7, and endothelial cells could represent 10–15% of the volume of the heart 7. The noncardiomyocytes cells play also critical roles, especially regulating fibrosis and extracellular matrix as regards fibroblasts (see recent review 8). Inflammatory cells play a major role in local inflammation during IR injury. The importance of endothelial cells (EC) should not be underestimated: they are not only deeply involved in ischaemic disease but also could participate in paracrine regulation, proinflammatory and profibrotic pathways. The pathophysiology of IR injury could then be considered as a cross-talk between various cellular populations and different biological pathways could be logically intricate (see Fig. 1 for a schematic presentation). ECs should be an interesting therapeutic target as they are easy to identify, especially after acute coronary syndromes 9 and linked with treatments 10. Here, Forteza et al. explore in vitro the dynamics of EC viability, apoptosis and necrosis when treated with sera drawn in patients with acute STEMI after primary angioplasty. This study although small and in vitro provides important data on the subject. First, the authors establish that both EC viability nadir and EC apoptosis peak occur relatively late after the onset of reperfusion, that is at 96 h, which challenges the usually admitted narrow window for cardioprotection after AMI 11, 12. Indeed, cardioprotective therapies could be of interest even after the early minute following reperfusion because the development of biological events triggered by reperfusion occurs during a wider time window. This consideration is reinforced by the fact that EC apoptosis assessed in vitro remains active even at day 30, whereas EC necrosis appears as a rare event. Secondly, the kinetics of this phenomenon and the important role played by EC deserve to be underlined: these data illustrate that apoptotic phenomena triggered by IR are involved not only in myocytes, but likely in all cell types present or migrating on site (see for schematic presentation the Fig. 1). Among them, EC represent a promising target for immediate and delayed therapeutic intervention. Clinical translation in the field of cardioprotection is deeply mutating as recently reviewed 13. Presently, due to new tools such as magnetic resonance imaging, infarct size is not the single point of interest in AMI, but myocardial oedema or microvascular obstruction could be accurately evaluated 14. In a near future, among the numerous trials on cardioprotection in patients with AMI, new parameters and endpoints could be proposed such as distinguishing various pathophysiologies. For instance, beyond infarct size, apoptotic events, activation of progenitor cells, specific proinflammatory or profibrotic pathways need to be explored, to better understand the impact of specific drugs and perhaps to better tailor individual treatments. Consistently, EC appear as an important target both in basic 15, 16 and clinical approaches 17, especially to correct myocardial oedema 18 and because they can be easily and promptly targeted by a drug. The further step could even be to modulate the cross-talks between various players. Cardiology Department, University hospital of Montpellier, Université de Montpellier 1, 371 Avenue du doyen Gaston Giraud, 34295 Montpellier Cedex 5, France (F. Roubille); Montreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montreal, PQ H1T 1C8, Canada (F. Roubille); Institute for Functional Genomics; CNRS UMR5203, Inserm U661, University Montpellier 1 and 2, Montpellier, France (S. Barrere-Lemaire).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".