Journal of Cardiovascular Translational Research最新文献

The length of hospital stay (LOS) is crucial for assessing medical service quality. This study aimed to develop machine learning models for predicting risk factors of prolonged LOS in patients with aortic dissection (AD). The data of 516 AD patients were obtained from the hospital's medical system, with 111 patients in the prolonged LOS (> 30 days) group based on three quarters of the LOS in the entire cohort. Given the screened variables and prediction models, the XGBoost model demonstrated superior predictive performance in identifying prolonged LOS, due to the highest area under the receiver operating characteristic curve, sensitivity, and F1-score in both subsets. The SHapley Additive exPlanation analysis indicated that high density lipoprotein cholesterol, alanine transaminase, systolic blood pressure, percentage of lymphocyte, and operation time were the top five risk factors associated with prolonged LOS. These findings have a guiding value for the clinical management of patients with AD.

Extracellular vesicles (EVs) have been implicated in cardiac remodeling during heart failure (HF). However, the role of circulating EVs (CEVs) in the process of HF is poorly understood. To elucidate the molecular mechanism associated with CEVs in the context of HF, the proteome of 4D label-free EVs from plasma samples was identified. Among the identified proteins, 6 exhibited upregulation while 9 demonstrated downregulation in CEVs derived from HF patients (HCEVs) compared to healthy controls (NCEVs). Our results showed that up-regulated proteins mainly participate in the primary metabolic, glycerolipid metabolic processes, oxidation-reduction process, and inflammatory amplification. In contrast, the down-regulated proteins influenced cell development, differentiation, and proliferation. Compared to NCEVs, HCEVs significantly induced inflammation and triacylglycerol (TAG) accumulation in human cardiomyocytes (HCMs) in vitro. They also compromised their regenerative capacities, triggered endoplasmic reticulum (ER) stress and increased autophagy in HCMs. Further, HCEVs induced differentiation of human cardiac fibroblasts (HCFs), amplifying pro-inflammatory, and pro-fibrotic factors, and enhancing extracellular matrix deposition. Notably, HCEVs are also associated with an increase in the HF biomarker MMP9 within HCFs and demonstrate a negative correlation with autophagic flux. In conclusion, HCEVs appear pivotal in advancing HF via pathological cardiac remodeling.

This paper presents a two-stenosis aorta model mimicking vortical flow in vascular aneurysms. More specifically, we propose to virtually induce two adjacent stenoses in the abdominal aorta to develop various vortical flow zones post stenoses. Computational fluid dynamics (CFD) simulations were conducted for the virtual two-stenosis model based on physiological and anatomical data (i.e., diameters, flow rate waveforms) from adult rabbits. The virtual model includes adult rabbits' infra-renal portion of the aorta and iliac arteries. 3D CFD simulations in five different dual-stenosis configurations were performed using a commercial CFD package (FLUENT). In-house software assessed the evolution of flow vortices. Notably, spatial-temporally averaged wall shear stress (STA-WSS) and oscillatory shear index (OSI), the total volume of vortex flow, the number of vortices, and the phase-to-phase overlap of vortex flow within each region were evaluated. In all models, we found consistent patterns of the vortex flow parameters, indicating that the adjacent stenoses induced three different hemodynamic zones, namely, stable vortical flow (after the first stenosis), transient vortical flow (after the second stenosis), and unstable vortical flow (further distal to the second stenosis). Also, different degrees of flow disturbance can be achieved in these three zones. It is significant to note that, although the 'dual-stenosis' geometry is completely hypothetical, it allows us to create various vortical flows in consecutive vessel segments for the first time. As a result, if implemented as a pre-clinical model, the proposed two-stenosis model offers an attractive, tunable environment to investigate the interplays between subject-specific hemodynamics and vascular remodeling. This aspect remains in our future directions.

Introduction: The aim of this study was the initial investigation of 4D-Flow MRI and Vector Ultrasound as novel imaging techniques in the in-vitro analysis of hemodynamics in anatomical models. Specifically, by looking at the hemodynamic performance of state-of-the-art surgical heart valves in a 3D-printed aortic arch.

Methods: The mock circulatory loop simulated physiological, pulsatile flow. Two mechanical and three biological aortic valves prostheses were compared in a 3D-printed aortic arch. 4D magnetic resonance imaging and vector flow Doppler ultrasound served as imaging methods. Hemodynamic parameters such as wall shear stress, flow velocities and pressure gradients were analyzed.

Results: The flow analysis revealed characteristic flow-patterns in the 3D-printed aortic arch. The blood-flow in the arch presented complex patterns, including the formation of helixes and vortices. Higher proximal peak velocities and lower flow volumes were found for biological valves.

Conclusion: The mock circulatory loop in combination with modern radiological imaging provides a sufficient basis for the hemodynamic comparison of aortic valves.

Cell therapy, gene therapy, and tissue engineering have been explored as potential strategies to repair or regenerate damaged cardiac tissue. Despite the presence of encouraging preclinical data, clinical trials of regenerative cardiac therapies have yielded mixed results. Our study aimed to investigate the fate of all registered clinical trials within regenerative cardiac medicine, with the purpose of exploring the potential role of publication bias (or trial-completion bias), how published and unpublished research affects the field, and to draw lessons and recommendations for future clinical trials. In this analysis, we show that only a third of all registered trials has yielded results and that a significant number of trials are not completed. Furthermore, we identified significant heterogeneity in study design, study phase, funding, specific therapies used, primary outcome measures and methods of outcome assessment. These observations might hinder the successful translation of cardiac regenerative therapies into clinical practice.

In modern cardiovascular research, isolated perfused hearts have become cost-effective and highly reproducible tools to investigate the mechanisms of cardiovascular diseases (CVDs). Since they were first introduced in the nineteenth century, isolated perfused hearts have been extensively used for testing novel therapies, elucidating cardiac metabolic and electrophysiological activities, and modeling CVDs, including ischemic heart disease, arrhythmias, and hyperacute rejection. In recent years, ex vivo heart perfusion (EVHP) has shown potential in cardiac transplantation by allowing prolonged preservation and reconditioning of donor hearts. In this review, we summarize the evolution of the isolated perfused heart technique and its applications in cardiovascular research to help researchers comprehensively understand the capabilities of isolated heart models and provide guidance to use them to investigate various CVDs.

Postoperative Atrial Fibrillation (POAF) frequently follows Coronary Artery Bypass Grafting (CABG) surgery. This prospective study investigates genes linked to POAF in CABG patients, aiming to create a predictive model. Employing differential gene and methylation analyses, the study identified four genes (WARS2, CKAP2, CHI3L1, HSD17B6) associated with POAF. Preoperative plasma samples and clinical data were collected from 139 CABG patients, categorized into POAF (+) (43) and POAF (-) (96). Real-time quantitative PCR assessed gene expression, and a predictive model using the LASSO method demonstrated robust performance, with AUC values of 0.8895 in the training set and 0.7840 in the test set. This pioneering study integrates genomics and clinical data, suggesting WARS2, CKAP2, and CHI3L1 as potential indicators for POAF prediction.

Pentraxin 3 (PTX3) is an acute phase protein produced in various tissues in response to microbial and sterile stimuli, which regulates the inflammation outcomes. PTX3 has not been investigated in myocarditis. Our aim was to assess circulating and cardiac tissue expression of PTX3 in 55 patients with myocarditis proven by magnetic resonance and/or endomyocardial biopsy. A major proportion of patients with myocarditis displayed significantly increased plasma PTX3 levels as compared with controls (26/30 vs. 0/10), with higher diagnostic yield than conventional biomarkers in the study group. Cardiac tissue analysis revealed PTX3 expression in all patients (40/40), with viral myocarditis exhibiting higher signal intensity than autoimmune myocarditis, and with a predominant localization in cardiomyocytes. Abnormal plasma PTX3 was associated with systolic dysfunction and heart failure at presentation. Interestingly, patients who recovered by 12 months had higher baseline PTX3 levels. Our preliminary data support the potential use of PTX3 as a biomarker in myocarditis.

Increased TNF-α levels following acute myocardial infarction (AMI) contribute to impaired recovery of myocardial function. Interaction of inactive rhomboid protein 2 (iRhom2) with TNF-α converting enzyme (TACE) is required for TNF-α shedding from immune cells. We hypothesized that iRhom2 expression increases in circulating monocytes following AMI. Transcript levels of iRhom2, TACE and TNF-α were evaluated by quantitative real-time PCR in isolated monocytes of 50 AMI patients at admission (d1) and 3 days (d3) after. We observed a significant increase in levels of iRhom2 mRNA expression in monocytes between d1-3, while TNF-α and TACE mRNA expression remained unchanged. At d3, iRhom2 mRNA expression positively correlated with levels of intermediate monocytes or serum TNF-α, and negatively with LV systolic function. iRhom2 may contribute to regulation of post-infarction inflammation and is associated with LV dysfunction following AMI. iRhom2 modulation should be evaluated as a potential therapeutic strategy to attenuate cardiac remodeling following AMI.