Periostin regulates lysyl oxidase through ERK1/2 MAPK-dependent serum response factor in activated cardiac fibroblasts.

Collagen crosslinking, mediated by lysyl oxidase, is an adaptive mechanism of the cardiac repair process initiated by cardiac fibroblasts postmyocardial injury. However, excessive crosslinking leads to cardiac wall stiffening, which impairs the contractile properties of the left ventricle and leads to heart failure. In this study, we investigated the role of periostin, a matricellular protein, in the regulation of lysyl oxidase in cardiac fibroblasts in response to angiotensin II and TGFß1. Our results indicated that periostin silencing abolished the angiotensin II and TGFß1-mediated upregulation of lysyl oxidase. Furthermore, the attenuation of periostin expression resulted in a notable reduction in the activity of lysyl oxidase. Downstream of periostin, ERK1/2 MAPK signaling was found to be activated, which in turn transcriptionally upregulates the serum response factor to facilitate the enhanced expression of lysyl oxidase. The periostin-lysyl oxidase association was also positively correlated in an in vivo rat model of myocardial infarction. The expression of periostin and lysyl oxidase was upregulated in the collagen-rich fibrotic scar tissue of the left ventricle. Remarkably, echocardiography data showed a reduction in the left ventricular wall movement, ejection fraction, and fractional shortening, indicative of enhanced stiffening of the cardiac wall. These findings shed light on the mechanistic role of periostin in the collagen crosslinking initiated by activated cardiac fibroblasts. Our findings signify periostin as a possible therapeutic target to reduce excessive collagen crosslinking that contributes to the structural remodeling associated with heart failure.

LncRNA NEAT1/miR-211/IL-10 Axis Regulates Inflammation of Peripheral Blood Mononuclear Cells in Acute Myocardial Infarction.

This study aimed to explore the expression of long non-coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1) in patients with acute myocardial infarction (AMI) and its inflammatory regulation mechanism through miR-211/interleukin 10 (IL-10) axis.A total of 75 participants were enrolled in this study: 25 healthy people in the control group, 25 patients with stable angina pectoris (SAP) in the SAP group, and 25 patients with AMI in the AMI group. Real-time qPCR was used to detect mRNA expression levels of NEAT1, miR-211, and IL-10. The interaction between miR-211, NEAT1, and IL-10 was confirmed by dual-luciferase reporter assay, and protein expression was detected using western blot.High expression of NEAT1 in peripheral blood mononuclear cells (PBMCs) of patients with AMI was negatively related to serum creatine kinase-MB (CK-MB), cardiac troponin I (cTnI), tumor necrosis factor-α (TNF-α), IL-6, and IL-1ß and was positively correlated with left ventricular ejection fraction (LVEF). In THP-1 cells, miR-211 was confirmed to target and inhibit IL-10 expression. NEAT1 knockdown and miR-211-mimic markedly decreased IL-10 protein levels, whereas anti-miR-211 markedly increased IL-10 protein levels. Importantly, miR-211 level was negatively related to NEAT1 and IL-10 levels, whereas IL-10 level was positively related to the level of NEAT1 expression in PBMCs of patients with AMI.LncRNA NEAT1 was highly expressed in PBMCs of patients with AMI, and NEAT1 suppressed inflammation via miR-211/IL-10 axis in PBMCs of patients with AMI.

LncRNA Peg13 Alleviates Myocardial Infarction/Reperfusion Injury through Regulating MiR-34a/Sirt1-Mediated Endoplasmic Reticulum Stress.

Myocardial infarction/reperfusion (I/R) injury significantly impacts the health of older individuals. We confirmed that the level of lncRNA Peg13 was downregulated in I/R injury. However, the detailed function of Peg13 in myocardial I/R injury has not yet been explored.To detect the function of Peg13, in vivo model of I/R injury was constructed. RT-qPCR was employed to investigate RNA levels, and Western blotting was performed to assess levels of endoplasmic reticulum stress and apoptosis-associated proteins. EdU staining was confirmed to assess the cell proliferation.I/R therapy dramatically produced myocardial injury, increased the infarct area, and decreased the amount of Peg13 in myocardial tissues of mice. In addition, hypoxia/reoxygenation (H/R) notably induced the apoptosis and promoted the endoplasmic reticulum (ER) stress of HL-1 cells, while overexpression of Peg13 reversed these phenomena. Additionally, Peg13 may increase the level of Sirt1 through binding to miR-34a. Upregulation of Peg13 reversed H/R-induced ER stress via regulation of miR-34a/Sirt1 axis.LncRNA Peg13 reduces ER stress in myocardial infarction/reperfusion injury through mediation of miR-34a/Sirt1 axis. Hence, our research might shed new lights on developing new strategies for the treatment of myocardial I/R injury.

Prediction of Interactomic HUB Genes in Periodontitis With Acute Myocardial Infarction.

BACKGROUND: Acute myocardial infarction (AMI) risk correlates with C-reactive protein (CRP) levels, suggesting systemic inflammation is present well before AMI. Studying different types of periodontal disease (PD), extremely common in individuals at risk for AMI, has been one important research topic. According to recent research, AMI and PD interact via the systemic production of certain proinflammatory and anti-inflammatory cytokines, small signal molecules, and enzymes that control the onset and development of both disorders' chronic inflammatory reactions. This study uses machine learning to identify the interactome hub biomarker genes in acute myocardial infarction and periodontitis. METHODS: GSE208194 and GSE222883 were chosen for our research after a thorough search using keywords related to the study's goal from the gene expression omnibus (GEO) datasets. DEGs were identified from the GEOR tool, and the hub gene was identified using Cytoscape-cytohubba. Using expression values, Random Forest, Adaptive Boosting, and Naive Bayes, widgets-generated transcriptomics data, were labelled, and divided into 80/20 training and testing data with cross-validation. ROC curve, confusion matrix, and AUC were determined. In addition, Functional Enrichment Analysis of Differentially Expressed Gene analysis was performed. RESULTS: Random Forest, AdaBoost, and Naive Bayes models with 99%, 100%, and 75% AUC, respectively. Compared to RF, AdaBoost, and NB classification models, AdaBoost had the highest AUC. Categorization algorithms may be better predictors than important biomarkers. CONCLUSIONS: Machine learning model predicts hub and non-hub genes from genomic datasets with periodontitis and acute myocardial infarction.

Management of Intramyocardial Dissecting Hematoma Following Myocardial Infarction.

Intramyocardial dissecting hematoma (IDH) is a rare condition mostly seen following acute myocardial infarction, chest trauma, and cardiac surgery. It is described as an incomplete rupture caused by hemorrhagic dissection within the myocardium, rather than extending to the epicardial layer. Management strategies for IDH are controversial due to limited reports. We present a case of a 61-year-old man diagnosed with IDH, left main, and three-vessel disease, subsequently treated surgically.

Effects of genetically proxied lipid-lowering drugs on acute myocardial infarction: a drug-target mendelian randomization study.

OBJECTIVE: High low-density-lipoprotein (LDL) cholesterol has been associated with an increased risk of coronary artery diseases (CAD) including acute myocardial infarction (AMI). However, whether lipids lowering drug treatment is causally associated with decreased risk of AMI remains largely unknown. We used Mendelian randomization (MR) to evaluate the influence of genetic variation affecting the function of lipid-lowering drug targets on AMI. METHODS: Single-nucleotide polymorphisms (SNPs) associated with lipids as instruments were extracted from the Global Lipids Genetics Consortium (GLGC). The genome-wide association study (GWAS) data for AMI were obtained from UK Biobank. Two sample MR analysis was used to study the associations between high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides (TG) with AMI (n = 3,927). Genetic variants associated with LDL cholesterol at or near drug target gene were used to mimic drug effects on the AMI events in drug target MR. RESULTS: Genetically predicted higher LDL-C (per one SD increase in LDL-C of 38.67 mg/dL, OR 1.006, 95% CI 1.004-1.007) and TG (per one SD increase in TG of 90.72 mg/dL, 1.004, 1.002-1.006) was associated with increased risk of AMI, but decreased risk for higher HDL-C (per one SD increase in HDL-C of 15.51 mg/dL, 0.997, 0.995-0.999) in univariable MR. Association remained significant for LDL-C, but attenuated toward the null for HDL-C and TG in multivariable MR. Genetically proxied lower LDL-C with genetic variants at or near the PCSK9 region (drug target of evolocumab) and NPC1L1 (drug target of ezetimibe) were associated with decreased risk of AMI (0.997, 0.994-0.999 and 0.986, 0.975-0.998, respectively), whereas genetic variants at HMGCR region (drug target of statin) showed marginal association with AMI (0.995, 0.990-1.000). After excluding drug target-related SNPs, LDL-C related SNPs outside the drug target region remained a causal effect on AMI (0.994, 0.993-0.996). CONCLUSIONS: The findings suggest that genetically predicted LDL-C may play a predominant role in the development of AMI. The drug MR results imply that ezetimibe and evolocumab may decrease the risk of AMI due to their LDL-C lowering effect, and there are other non-drug related lipid lowering pathways that may be causally linked to AMI.

Myocardial Infarction in Young Adults: Diagnosis Begins Through Inspection.

Spontaneous coronary artery dissection (SCAD) is an atypical cause of myocardial infarction, predominantly seen in women. Among various predisposing factors, genetic vasculopathies such as connective tissue diseases significantly contribute to SCAD. This report discusses a 36-year-old male diagnosed with vascular type Ehlers-Danlos syndrome following an anterior myocardial infarction and explores relevant literature.

The Prognostic Value of the Triglyceride-Glucose Index in Forecasting Ten-Year Major Adverse Cardiovascular Events in Non-Diabetic Patients with Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention.

OBJECTIVE: This study aimed to explore the association between the triglyceride-glucose (TyG) index and major adverse cardiovascular events (MACE) over a ten-year period in non-diabetic patients with acute myocardial infarction (MI) undergoing primary percutaneous coronary intervention (PCI). METHODS: We included 375 consecutive non-diabetic patients presenting with acute MI who underwent primary PCI. The TyG index was calculated and patients were divided based on a cut-off value of ≥ 8.84 into high and low TyG index groups. The incidence of MACE, including all-cause mortality, target vessel revascularization, reinfarction, and rehospitalization for heart failure, was assessed over 10 years. RESULTS: Over the next 10 years, patients who underwent PCI for acute MI experienced a significantly higher incidence of MACE in the group with a high TyG index (≥ 8.84) (P = 0.004). Multivariable analysis revealed that the TyG index independently predicted MACE in these patients [odds ratio = 1.64; 95% confidence interval (CI): 1.22-2.21; P = 0.002]. Analysis of the receiver operating characteristic curve indicated that the TyG index effectively predicted MACE in patients with acute MI following PCI, with an area under the curve of 0.562 (95% CI: 0.503-0.621; P = 0.038). CONCLUSION: This study established a correlation between high TyG index levels and an elevated risk of MACE in non-diabetic patients with acute MI. The findings suggest that the TyG index could be a reliable indicator of clinical outcomes for non-diabetic acute MI patients undergoing PCI.

Association between statin therapy and long-term clinical outcomes in patients with stable coronary disease undergoing percutaneous coronary intervention.

This longitudinal cohort study examined the long-term effect of statin therapy on clinical outcomes in patients undergoing percutaneous coronary intervention (PCI). A total of 1760 patients with stable coronary artery disease (CAD) were divided by receipt of statin therapy or not after index PCI. Baseline clinical characteristics, risk factors, angiographic findings, and medications after interventional procedure were assessed to compare long-term clinical outcomes between groups. Predictors for all-cause death and major adverse cardiovascular events (MACE), including myocardial infarction (MI), cardiovascular death, and repeated PCI procedures, were also analyzed. The statin therapy group had higher average serum cholesterol and more elevated low-density lipoprotein cholesterol (LDL-C) than the non-statin therapy group (189.0 ± 47.9 vs 169.3 ± 37.00 mg/dl, 117.2 ± 42.6 vs 98.7 ± 31.8 mg/dl, respectively, both P < 0.001). The non-statin group had higher rates of all-cause death and cardiovascular death compared to statin group (both P < 0.001). After adjustment for age, diabetes, and chronic kidney disease, Cox proportion hazard analysis revealed statin use significantly reduced all-cause death and repeated PCI procedure (hazard ratio: 0.53 and 0.69, respectively). Statin use seemed not reduce the hazard of cardiovascular death or MI in patients with stable CAD after PCI; however, statin therapy still was associated with reduced rates of all-cause death and repeat PCI procedure.

High stress hyperglycemia ratio predicts adverse clinical outcome in patients with coronary three-vessel disease: a large-scale cohort study.

BACKGROUND: Coronary three-vessel disease (CTVD) accounts for one-third of the overall incidence of coronary artery disease, with heightened mortality rates compared to single-vessel lesions, including common trunk lesions. Dysregulated glucose metabolism exacerbates atherosclerosis and increases cardiovascular risk. The stress hyperglycemia ratio (SHR) is proposed as an indicator of glucose metabolism status but its association with cardiovascular outcomes in CTVD patients undergoing percutaneous coronary intervention (PCI) remains unclear. METHODS: 10,532 CTVD patients undergoing PCI were consecutively enrolled. SHR was calculated using the formula: admission blood glucose (mmol/L)/[1.59×HbA1c (%)-2.59]. Patients were divided into two groups (SHR Low and SHR High) according to the optimal cutoff value of SHR. Multivariable Cox regression models were used to assess the relationship between SHR and long-term prognosis. The primary endpoint was cardiovascular (CV) events, composing of cardiac death and non-fatal myocardial infarction (MI). RESULTS: During the median follow-up time of 3 years, a total of 279 cases (2.6%) of CV events were recorded. Multivariable Cox analyses showed that high SHR was associated with a significantly higher risk of CV events [Hazard Ratio (HR) 1.99, 95% Confidence interval (CI) 1.58-2.52, P < 0.001). This association remained consistent in patients with (HR 1.50, 95% CI 1.08-2.10, P = 0.016) and without diabetes (HR 1.97, 95% CI 1.42-2.72, P < 0.001). Additionally, adding SHR to the base model of traditional risk factors led to a significant improvement in the C-index, net reclassification and integrated discrimination. CONCLUSIONS: SHR was a significant predictor for adverse CV outcomes in CTVD patients with or without diabetes, which suggested that it could aid in the risk stratification in this particular population regardless of glucose metabolism status.

Investigating molecular markers linked to acute myocardial infarction and cuproptosis: bioinformatics analysis and validation in the AMI mice model.

Cuproptosis-related key genes play a significant role in the pathological processes of acute myocardial infarction (AMI). However, a complete understanding of the molecular mechanisms behind this participation remains elusive. This study was designed to identify genes and immune cells critical to AMI pathogenesis. Based on the GSE48060 dataset (31 AMI patients and 21 healthy persons, GPL570-55999), we identified genes associated with dysregulated cuproptosis and the activation of immune responses between normal subjects and patients with a first myocardial attack. Two molecular clusters associated with cuproptosis were defined in patients with AMI. Immune infiltration analysis showed that there was significant immunity heterogeneity among different clusters. Multiple immune responses were closely associated with Cluster2-specific differentially expressed genes (DEGs). The generalized linear model machine model presented the best discriminative performance with relatively lower residual and root mean square error, and a higher area under the curve (AUC = 0.870). A final two-gene-based generalized linear model was constructed, exhibiting satisfactory performance in two external validation datasets (AUC = 0.719, GSE66360 and AUC = 0.856, GSE123342). Column graph, calibration curve, and decision curve analyses also proved the accuracy of AMI prediction. We also constructed a mouse C57BL/6 model of AMI (3 h, 48 h, and 1 week) and used qRT-PCR and immunofluorescence to detect the expression changes of CBLB and ZNF302. In this study, we present a systematic analysis of the complex relationship between cuproptosis and a first AMI attack, and provide new insights into the diagnosis and treatment of AMI.

Transcriptome analysis of cardiac endothelial cells after myocardial infarction reveals temporal changes and long-term deficits.

Endothelial cells (ECs) have essential roles in cardiac tissue repair after myocardial infarction (MI). To establish stage-specific and long-term effects of the ischemic injury on cardiac ECs, we analyzed their transcriptome at landmark time points after MI in mice. We found that early EC response at Day 2 post-MI centered on metabolic changes, acquisition of proinflammatory phenotypes, initiation of the S phase of cell cycle, and activation of stress-response pathways, followed by progression to mitosis (M/G2 phase) and acquisition of proangiogenic and mesenchymal properties during scar formation at Day 7. In contrast, genes involved in vascular physiology and maintenance of vascular tone were suppressed. Importantly, ECs did not return to pre-injury phenotypes after repair has been completed but maintained inflammatory, fibrotic and thrombotic characteristics and lost circadian rhythmicity. We discovered that the highest induced transcript is the mammalian-specific Sh2d5 gene that promoted migration and invasion of ECs through Rac1 GTPase. Our results revealed a synchronized, temporal activation of disease phenotypes, metabolic pathways, and proliferation in quiescent ECs after MI, indicating that precisely-timed interventions are necessary to optimize cardiac tissue repair and improve outcomes. Furthermore, long-term effects of acute ischemic injury on ECs may contribute to vascular dysfunction and development of heart failure.

Removal of endothelial surface-associated von villebrand factor suppresses accelerate datherosclerosis after myocardial infarction.

BACKGROUND: Thromboinflammation involving platelet adhesion to endothelial surface-associated von Willebrand factor (VWF) has been implicated in the accelerated progression of non-culprit plaques after MI. The aim of this study was to use arterial endothelial molecular imaging to mechanistically evaluate endothelial-associated VWF as a therapeutic target for reducing remote plaque activation after myocardial infarction (MI). METHODS: Hyperlipidemic mice deficient for the low-density lipoprotein receptor and Apobec-1 underwent closed-chest MI and were treated chronically with either: (i) recombinant ADAMTS13 which is responsible for proteolytic removal of VWF from the endothelial surface, (ii) N-acetylcysteine (NAC) which removes VWF by disulfide bond reduction, (iii) function-blocking anti-factor XI (FXI) antibody, or (iv) no therapy. Non-ischemic controls were also studied. At day 3 and 21, ultrasound molecular imaging was performed with probes targeted to endothelial-associated VWF A1-domain, platelet GPIbα, P-selectin and vascular cell adhesion molecule-1 (VCAM-1) at lesion-prone sites of the aorta. Histology was performed at day 21. RESULTS: Aortic signal for P-selectin, VCAM-1, VWF, and platelet-GPIbα were all increased several-fold (p < 0.01) in post-MI mice versus sham-treated animals at day 3 and 21. Treatment with NAC and ADAMTS13 significantly attenuated the post-MI increase for all four molecular targets by > 50% (p < 0.05 vs. non-treated at day 3 and 21). On aortic root histology, mice undergoing MI versus controls had 2-4 fold greater plaque size and macrophage content (p < 0.05), approximately 20-fold greater platelet adhesion (p < 0.05), and increased staining for markers of platelet transforming growth factor-ß1 signaling. Accelerated plaque growth and inflammatory activation was almost entirely prevented by ADAMTS13 and NAC. Inhibition of FXI had no significant effect on molecular imaging signal or plaque morphology. CONCLUSIONS: Plaque inflammatory activation in remote arteries after MI is strongly influenced by VWF-mediated platelet adhesion to the endothelium. These findings support investigation into new secondary preventive therapies for reducing non-culprit artery events after MI.

Innovating to resolve the pressure-oxygenation-paradox created by VA-ECMO could improve outcomes for acute myocardial infarction and cardiogenic shock.

VA-ECMO use is growing exponentially. Recent data shows no clinical benefit with routine use of VA-ECMO in acute myocardial infarction and shock, however clinical experience with ECMO is growing. Two key variables that may impact outcomes with ECMO in acute myocardial infarction and shock include it's effect on systemic pressure and oxygenation. We define the pressure-oxygenaton paradox of ECMO as a potential new avenue for therapeutic discovery.

Non-cardiac comorbid health outcomes and prevalence after myocardial infarction: an umbrella review.

OBJECTIVE: There exists limited comprehensive evidence on the potential association between non-cardiac comorbidities and myocardial infarction (MI). Thus, we conducted an umbrella review of existing meta-analyses to provide a broad understanding of non-cardiac health outcomes associated with MI. MATERIALS AND METHODS: The primary focus on the prevalence of related health outcomes in patients with MI was systemically searched. Each original meta-analysis that was included had its methodological quality evaluated by a Measurement Tool Assessment Systematic Reviews 2 (AMSTAR2). To evaluate the certainty in the evidence for each outcome, we employed GRADE and the Joanna Briggs Institute Prevalence Critical Appraisal Tool. The protocol was registered in PROSPERO (CRD42023458642). RESULTS: We identified seven meta-analyses comprising 126 studies with 336,581 participants from 22 countries and five continents. The pooled prevalence of comorbidities in patients with MI was 39% anxiety [95% confidence interval (CI), 30-48; GRADE, very low certainty], 29% depression (95% CI, 23-36; very low certainty), 39% frailty (95% CI, 24-55; very low certainty), and 23% failure of returning to work (95% CI, 16-29; very low certainty). The diagnosis of MI was associated with an increased risk of cognitive impairment (odds ratio, 1.45; 95% CI, 1.10-1.92; moderate certainty). Among frail patients, MI was associated with an increased risk of major bleeding (relative risk, 1.93; 95% CI, 1.08-3.45; low certainty) and mortality (relative risk, 2.29; 95% CI, 1.48-3.53; moderate certainty). However, we did not find any evidence of cancer risk associated with the development of MI. CONCLUSIONS: Our umbrella meta-analysis provided comprehensive evidence of the association between MI and several non-cardiac health conditions. The robustness of our study is attributed to the integration of evidence across several studies, thus, these insights offer valuable treatment options for policymakers and physicians to develop personalized health strategies.

Dynamic molecular signatures of acute myocardial infarction based on transcriptomics and metabolomics.

Acute myocardial infarction (AMI) commonly precedes ventricular remodeling, heart failure. Few dynamic molecular signatures have gained widespread acceptance in mainstream clinical testing despite the discovery of many potential candidates. These unmet needs with respect to biomarker and drug discovery of AMI necessitate a prioritization. We enrolled patients with AMI aged between 30 and 70. RNA-seq analysis was performed on the peripheral blood mononuclear cells collected from the patients at three time points: 1 day, 7 days, and 3 months after AMI. PLC/LC-MS analysis was conducted on the peripheral blood plasma collected from these patients at the same three time points. Differential genes and metabolites between groups were screened by bio-informatics methods to understand the dynamic changes of AMI in different periods. We obtained 15 transcriptional and 95 metabolite expression profiles at three time points after AMI through high-throughput sequencing. AMI-1d: enrichment analysis revealed the biological features of 1 day after AMI primarily included acute inflammatory response, elevated glycerophospholipid metabolism, and decreased protein synthesis capacity. Phosphatidylcholine (PC) and phosphatidylethanolamine (PE) might stand promising biomarkers to differentiate post-AMI stage. Anti-inflammatory therapy during the acute phase is an important direction for preventing related pathology. AMI-7d: the biological features of this stage primarily involved the initiation of cardiac fibrosis response and activation of platelet adhesion pathways. Accompanied by upregulated TGF-beta signaling pathway and ECM receptor interaction, GP5 help assess platelet activation, a potential therapeutic target to improve haemostasis. AMI-3m: the biological features of 3 months after AMI primarily showed a vascular regeneration response with VEGF signaling pathway, NOS3 and SHC2 widely activated, which holds promise for providing new therapeutic approaches for AMI. Our analysis highlights transcriptional and metabolomics signatures at different time points after MI, which deepens our understanding of the dynamic biological responses and associated molecular mechanisms that occur during cardiac repair.

[A transcriptomic analysis of correlation between mitochondrial function and energy metabolism remodeling in mice with myocardial fibrosis following myocardial infarction].

OBJECTIVE: To investigate the changes of mitochondrial respiratory function during myocardial fibrosis in mice with myocardial infarction (MI) and its correlation with the increase of glycolytic flux. METHODS: Forty C57BL/6N mice were randomized into two equal groups to receive sham operation or ligation of the left anterior descending coronary artery to induce acute MI. At 28 days after the operation, 5 mice from each group were euthanized and left ventricular tissue samples were collected for transcriptomic sequencing. FPKM method was used to calculate gene expression levels to identify the differentially expressed genes (DEGs) in MI mice, which were analyzed using GO and KEGG databases to determine the pathways affecting the disease process. Heat maps were drawn to show the differential expressions of the pathways and the related genes in the enrichment analysis. In primary cultures of neonatal mouse cardiac fibroblasts (CFs), the changes in mitochondrial respiration and glycolysis levels in response to treatment with the pro-fibrotic agonist TGF-ß1 were analyzed using Seahorse experiment. RESULTS: The mouse models of MI showed significantly increased diastolic and systolic left ventricular diameter (P < 0.05) and decreased left ventricular ejection fraction (P < 0.0001). A total of 124 up-regulated and 106 down-regulated DEGs were identified in the myocardial tissues of MI mice, and GO and KEGG enrichment analysis showed that these DEGs were significantly enriched in fatty acid metabolism, organelles and other metabolic pathways and in the mitochondria. Heat maps revealed fatty acid beta oxidation, mitochondrial dysfunction and increased glycolysis levels in MI mice. In the primary culture of CFs, treatment with TGF-ß1 significantly reduced the basal and maximum respiratory levels and increased the basal and maximum glycolysis levels (P < 0.0001). CONCLUSION: During myocardial fibrosis, energy metabolism remodeling occurs in the CFs, manifested by lowered mitochondrial function and increased energy generation through glycolysis.

Association between physical activity changes and incident myocardial infarction after ischemic stroke: a nationwide population-based study.

BACKGROUND: The impact of changes in physical activity after ischemic stroke (IS) on the subsequent myocardial infarction (MI) risk is not fully understood. We aimed to investigate the effects of changes in physical activity on the risk of MI after acute IS using data from the Korean National Health Insurance Services Database. METHODS: 224,764 patients newly diagnosed with IS between 2010 and 2016 who underwent two serial biannual health checkups were included. The participants were divided into four categories according to changes in their physical activity: persistent non-exercisers, new exercisers, exercise dropouts, and exercise maintainers. The primary outcome was a new diagnosis of incident MI. Multivariable Cox proportional models were used to assess the effects of changes in exercise habits on the risk of MI. RESULTS: After a median of 4.25 years of follow-up, 6,611 (2.94%) MI cases were observed. After adjusting for confounders, new exercisers and exercise maintainers were significantly associated with a lower risk of incident MI than persistent non-exercisers (aHR, 0.849; 95% CI, 0.792-0.911; P-value < 0.001; and aHR, 0.746; 95% CI, 0.696-0.801; P-value < 0.001, respectively). Effects were consistent across sexes, more pronounced in those > 65 years. Notably, any level of physical activity after stroke was associated with a reduced MI risk compared to no exercise. CONCLUSIONS: In this nationwide cohort study, commencing or sustaining physical activity after an IS corresponded to a diminished likelihood of subsequent MI development. Advocating physical activity in ambulatory stroke survivors could potentially attenuate the prospective risk of MI.