Deletion of the ion channel Trpm4 increases cardiac inflammatory markers and fibrosis after myocardial infarction in mice
Boukenna, M.; Rougier, J.-S.; Aghagolzadeh, P.; Pradervand, S.; Guichard, S.; Haemmerli, A.-F.; Pedrazzini, T.; Abriel, H.
Show abstract
BACKGROUNDThe first cause of mortality worldwide is ischemic heart disease. In myocardial infarction (MI), the ischemic event causes cell death, which triggers a large inflammatory response responsible for removing necrotic material and inducing tissue repair. Endothelial cells, immune cells and fibroblasts play a key role in orchestrating this healing process. TRPM4 is a Ca2+-activated ion channel permeable to monovalent cations and its silencing or knocking out was shown to critically modify cellular functions of these non-myocytic cell types. OBJECTIVEOur aims were to 1) evaluate the role of TRPM4 on mice survival and cardiac function after MI; and 2) investigate the role of TRPM4 in the post-MI acute and chronic inflammatory response. METHODSWe performed ligation of the left anterior descending coronary artery or sham intervention on 154 Trpm4 WT or KO male mice and monitored survival for up to 5 weeks as well as cardiac function using echocardiography at 72h and five weeks. We drew blood at different acute time points (6h, 12h, 24h) and performed time-of-flight mass spectrometry to analyze the sera proteomes. Further, we sacrificed sub-groups of mice at 24h and 72h after surgery and performed single-cell RNA sequencing on the non-myocytic cells. Lastly, we assessed fibrosis and angiogenesis at five weeks using type I collagen and CD31 immunostaining respectively. RESULTSWe observed no significant differences in survival or cardiac function post-MI between both genotypes. However, our serum proteomics data showed significantly decreased tissue injury markers such as creatine kinase M and VE-Cadherin in KO compared to WT 12h after MI. On the other hand, inflammation characterized by serum amyloid P component in the serum, as well as higher number of recruited granulocytes, M1 macrophages, M1 monocytes, Mac-6 macrophages, and expression of pro-inflammatory genes such as Il1b, Lyz2 and S100a8/a9 was significantly higher in endothelial cells, macrophages and fibroblasts of KO than of WT. This correlated with increased cardiac fibrosis and angiogenesis 5 weeks after MI in KO. CONCLUSIONOur data suggest that knocking out Trpm4 drastically increases acute inflammation post-MI, is associated with increased chronic fibrosis and does not improve survival at 5 weeks post-MI. Thus, targeting TRPM4 in the context of MI should be pondered carefully and approaches that nuance the timing of the inhibition or cellular target may be required.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Cell Surface Receptors Ror1/2 Control Cardiac Myofibroblast Differentiation 96%
- Adjusted vascular contractility relies on integrity of progranulin pathway: Insights into mitochondrial function 95%
- Inhibiting succinate release worsens cardiac reperfusion injury by enhancing mitochondrial reactive oxygen species generation 95%
Similar papers in this journal
- Integrated Proteomics Identifies Troponin I Isoform Switch as a Regulator of a Sarcomere-Metabolism Axis During Cardiac Regeneration 96%
- Remote Ischemic Preconditioning Ameliorates Anthracycline-induced Cardiotoxicity and Preserves Mitochondrial Integrity 96%
- Cardiac SARS-CoV-2 infection is associated with distinct transcriptomic changes within the heart 95%
Similar papers in this journal
Similar papers in this journal
- Altered Intercellular Communication and Extracellular Matrix Signaling as a Potential Disease Mechanism in Human Hypertrophic Cardiomyopathy 95%
- 3D imaging and morphometry of the heart capillary system in spontaneously hypertensive rats and normotensive controls 95%
- SGLT2 inhibitors attenuate endothelial to mesenchymal transition and cardiac fibroblast activation 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.