👤 Li-Min Lun

Extracorporeal cardiac shock wave (ECSW) therapy enhances the function of endothelial colony-forming cells (ECFCs), but whether it can serve as a preconditioning strategy to enhance myocardial infarction (MI) therapy remains unclear. This study investigated the efficacy and mechanism of intravenously delivered ECSW-preconditioned ECFCs (SW-ECFCs) in a rat MI model. ECFCs were isolated from the bone marrow of ApoE Transcriptomic analysis revealed significant enrichment of the PI3K/AKT pathway in SW-ECFCs. Functionally, ECSW enhanced ECFCs migration, tube formation, proliferation, and VEGF-A secretion, while reducing apoptosis; these effects were largely abolished by PI3K inhibition. In vivo, serum levels of CK, CK-MB, and LDH were significantly elevated in all MI groups compared to the Sham group (P < 0.01), indicating comparable initial injury. However, no significant differences were observed among treatment groups (P > 0.05). SW-ECFCs transplantation significantly improved cardiac function, reduced infarct size, fibrosis, and apoptosis, and enhanced angiogenesis (P < 0.05). These benefits were associated with increased levels of p-AKT, p-eNOS, and BCL-2 protein as well as nitric oxide content, while suppressing the expression of cleaved caspase-3 (P < 0.05). Crucially, all these therapeutic benefits were largely abolished by PI3K inhibition. In conclusion, this study demonstrates that preconditioning ECFCs with ECSW significantly enhances their therapeutic efficacy for myocardial infarction, improving both cardiac function and structural repair. These benefits are mediated primarily through activation of the PI3K/AKT signaling pathway, which augments cell homing, paracrine activity, and survival, thereby providing a novel and promising strategy for cardiac regeneration. Show less

Abdominal aortic aneurysm (AAA) is a severe aortic disease for which no pharmacological interventions have yet been developed. This investigation focused on identifying protein-based therapeutic targets and assessing how proteins mediate the interplay between modifiable risk factors and AAA development. Causal inferences between plasma proteins and AAA were drawn using 2-sample Mendelian randomization, followed by comprehensive sensitivity testing, colocalization, and replication efforts. Further analyses included database interrogation, single-cell RNA data analysis, enrichment analysis, protein-protein interaction networks, and immunohistochemistry to map the tissue-specific expression of these proteins, their expression within AAA tissues, and their biological roles. Mediation Mendelian randomization was employed to evaluate the mediating effects of AAA-related proteins on the associations between AAA and 3 risk factors: hypertension, smoking, and obesity. A total of 43 proteins were identified as having causal links to AAA. Colocalization analysis pinpointed 13 proteins with strong evidence of colocalization with AAA. Of these, the causal involvement of 10 proteins was substantiated by external validation data. Consistent evidence for PCSK9 (proprotein convertase subtilisin/kexin type 9), IL6R (interleukin-6R), ECM1 (extracellular matrix protein 1), and ANGPTL4 (angiopoietin-related protein 4) was further validated through tissue immunohistochemistry and blood data. Moreover, Mendelian randomization analysis identified 10 proteins as mediators of the influence of hypertension, smoking, and obesity on AAA development. This analysis identifies 4 proteins (PCSK9, IL6R, ECM1, and ANGPTL4) as high-priority therapeutic targets for AAA and emphasizes the intermediary role of plasma proteins in linking hypertension, smoking, obesity, and AAA. Further investigations are needed to clarify the specific roles of these proteins in AAA pathology. Show less

Atherosclerosis (AS) remains a leading cause of cardiovascular morbidity and mortality, characterized by intricate interactions between immune dysregulation and lipid metabolism abnormalities-identifying key mediators in its pathogenesis is critical for improving diagnostics and therapies. This study focuses on Transmembrane Protein 106A (TMEM106A) to clarify its role and clinical relevance in AS progression. Public transcriptomic datasets (GSE43292, GSE100927, GSE28829) were analyzed to assess TMEM106A expression and diagnostic value; single-cell RNA-seq data (GSE159677) defined its cellular localization. Immune infiltration (ssGSEA, Cibersort, xCell) and CellChat (intercellular communication) analyses explored its immune associations. TMEM106A was significantly upregulated in AS samples across datasets, with strong diagnostic efficacy (AUC 0.80-0.95). Single-cell analysis confirmed its specific enrichment in macrophages, with functional links to immune-related pathways. TMEM106A promoted macrophage infiltration, foam cell formation, oxidative stress, and inflammatory responses, while regulating PLCB2 in chemokine signaling; silencing TMEM106A alleviated these pro-atherosclerotic effects. TMEM106A contributes to AS progression by modulating macrophage-mediated immune responses and chemokine signaling, as validated in experimental models. These findings support its potential as a clinically relevant biomarker and promising therapeutic target for AS intervention. Show less

The present study aims to discover novel serum biomarkers of early-onset myocardial infarction (MI) using proteomic analysis. In the first stage, the iTRAQ-coupled LC-MS/MS technique is utilized to investigate protein profiles of patients with early-onset MI. In the second stage, these candidate proteins are validated using ELISA. A total of 538 proteins are quantified, with pregnancy zone protein (PZP), leucine-rich α-2-glycoprotein (LRG) and Apolipoprotein C-I (Apo C-I) being upregulated and Apolipoprotein A-I (Apo A-I) and Apolipoprotein A-IV (Apo A-IV) downregulated in early-onset MI patients. Results from the validation stage demonstrate that the serum concentrations of PZP and LRG are significantly increased in the early-onset MI group. The correlation between the concentrations of C-reactive protein (CRP) and the two candidate biomarkers is positive. Area under the curve values used to diagnose early-onset MI for LRG and PZP are 0.939 and 0.874, respectively. Five differential serum proteins are identified in early-onset MI using proteomic analysis. Lipoprotein-related biomarkers further demonstrate the close relationship between lipid metabolism and the disease. Inflammation-associated LRG and PZP may be novel biomarkers of the disease. In addition, changes in these proteins may partly reveal the possible mechanisms in the pathogenesis and pathophysiology of early-onset MI. Show less