Influence of Anesthetic Regimes on Extracellular Vesicles following Remote Ischemic Preconditioning in Coronary Artery Disease.
Phuong N V PhamLoubna YahsalyCrista OchsenfarthBernd GiebelRomina SchnitzlerPeter ZahnUlrich H FreyPublished in: International journal of molecular sciences (2024)
Remote ischemic preconditioning (RIPC) reduces ischemia-reperfusion injury in aortocoronary bypass surgery, potentially via extracellular vesicles (EVs) and their micro-RNA content. Clinical data implicate that propofol might inhibit the cardioprotective RIPC effect. This prospective, randomized study investigated the influence of different anesthetic regimes on RIPC efficacy and EV micro-RNA signatures. We also assessed the impact of propofol on cell protection after hypoxic conditioning and EV-mediated RIPC in vitro. H9c2 rat cardiomyoblasts were subjected to hypoxia, with or without propofol, and subsequent simulated ischemia-reperfusion injury. Apoptosis was measured by flow cytometry. Blood samples of 64 patients receiving anesthetic maintenance with propofol or isoflurane, along with RIPC or sham procedures, were analyzed, and EVs were enriched using a polymer-based method. Propofol administration corresponded with increased Troponin T levels (4669 ± 435.6 pg/mL), suggesting an inhibition of the cardioprotective RIPC effect. RIPC leads to a notable rise in miR-21 concentrations in the group receiving propofol anesthesia (fold change 7.22 ± 6.6). In vitro experiments showed that apoptosis reduction was compromised with propofol and only occurred in an EV-enriched preconditioning medium, not in an EV-depleted medium. Our study could clinically and experimentally confirm propofol inhibition of RIPC protection. Increased miR-21 expression could provide evidence for a possible inhibitory mechanism.
Keyphrases
- ischemia reperfusion injury
- oxidative stress
- coronary artery disease
- flow cytometry
- long non coding rna
- cell proliferation
- cerebral ischemia
- poor prognosis
- heart failure
- cell cycle arrest
- percutaneous coronary intervention
- stem cells
- cardiovascular disease
- mesenchymal stem cells
- type diabetes
- binding protein
- gene expression
- machine learning
- clinical trial
- aortic valve
- big data
- acute coronary syndrome
- brain injury
- coronary artery bypass
- atrial fibrillation
- transcatheter aortic valve replacement
- subarachnoid hemorrhage
- pi k akt