Journal of Cardiovascular Translational Research最新文献

This study aimed to construct machine learning models and predict prolonged intensive care units (ICU) stay in patients receiving perioperative intra-aortic balloon pump (IABP) therapy during cardiac surgery. 236 patients were divided into the normal (≤ 14 days) and prolonged (> 14 days) ICU groups based on the 75th percentile of ICU duration across the entire cohort. Seven machine learning models were trained and validated. The Shapley Additive explanations (SHAP) method was employed to illustrate the effects of the features. 94 patients (39.83%) experienced prolonged ICU stay. The XGBoost model outperformed other models in predictive performance, as evidenced by its highest area under the receiver operating characteristic curve (training: 0.92; validation: 0.73). The SHAP analysis identified tracheotomy, albumin, Sv1, and cardiac troponin T as the top four risk variables. The XGBoost model predicted risk variables for prolonged ICU stay in patients, possibly contributing to improving perioperative management and reducing ICU duration.

Atherosclerosis (AS) is an inflammatory disease affected by macrophage polarization. N⁴-acetylcytosine (ac4C) modification mediated by N-acetyltransferase 10 (NAT10). In this study, we aimed to elucidate the role of ac4C modification mediated macrophage polarization in AS through in vivo and in vitro experiments. The ac4C level was measured using dot blot. Macrophage polarization was assessed by quantitative real-time PCR and flow cytometry. Underlying mechanism was analyzed by methylated RNA Immunoprecipitation (MeRIP), RIP and dual luciferase report. Results showed that the NAT10 expression and ac4C level were increased in patients with AS. Additionally, NAT10 knockdown promoted M1 to M2 polarization and suppressed TLR9 ac4C level. TLR9 overexpression reversed macrophage polarization regulated by NAT10 knockdown. Furthermore, M1 polarization and atherosclerosis in vivo was inhibited by NAT10 knockdown. In conclusion, we demonstrated that NAT10 regualted AS progression mediated by macrophage polarization through regulating ac4C modification of TLR9 and provided a new theoretical basis.

Circulating lipids play a crucial role in the development of coronary artery disease (CAD). However, it is unclear whether the genetic susceptibility to hyperlipidemia may interact with lifestyle factors in CAD risk. Using UK Biobank data from 328,606 participants, we evaluated combined effects of genetic susceptibility to hyperlipidemia and lifestyle factors with risk of CAD. We found that both blood lipid-related polygenic score (PGS) and healthy lifestyle score (HLS) are independently associated with CAD risk, and individuals with the highest-risk lipid-related PGS and the least healthy HLS had the highest CAD risk. This association was stronger in younger (< 60 years, hazard ratio: 4.46, 95% confidence interval: 3.44-5.78) than older adults (2.54, 2.13-3.03). Our study suggests that individuals, particularly younger adults, with higher-risk PGSs of blood lipid traits would benefit more substantially by adherence to a healthy lifestyle than those with lower PGSs.

The objective of this study was to identify a female-specific prognostic biomarker for peripheral artery disease (PAD) and develop a prediction model for 2-year major adverse limb events (MALE). Patients with/without PAD were recruited (n=461). Plasma concentrations of 68 circulating proteins were measured and patients were followed for 2 years. The primary outcome was MALE (composite of vascular intervention, major amputation, or acute/chronic limb threatening ischemia). We trained a random forest model using: 1) clinical characteristics, 2) female-specific PAD biomarker, and 3) clinical characteristics and female-specific PAD biomarker. Galectin-9 was the only protein to be significantly elevated in females compared to males in the discovery/validation analyses. The random forest model achieved the following AUROC's: 0.72 (clinical features), 0.83 (Galectin-9), and 0.86 (clinical features + Galectin-9). We identified Galectin-9 as a female-specific PAD biomarker and developed an accurate prognostic model for 2-year MALE using a combination of clinical features and plasma Galectin-9 levels.

Ischemia and non-obstructive coronary artery disease (INOCA) might be due to coronary microvascular dysfunction (CMD), vasospastic angina (VSA) or both. We compared plasma concentration of various extracellular vesicles (EVs) in patients with different INOCA endotypes. Patients were divided into those with INOCA (CMD, VSA, mixed CMD + VSA) and non-anginal chest pain. Plasma concentrations of EVs were measured using flow cytometry. Out of 96 patients included, 34 had CMD (35%), 15 VSA (16%), 24 mixed endotype (25%) and 23 non-anginal chest pain (24%). Patients with INOCA had lower ratio of endothelial EVs (CD144 +) to total EVs, compared to patients with non-anginal pain (p = 0.027). Patients with mixed endotype had lower ratio of endothelial EVs (CD144 +) to total EVs, compared to CMD (p = 0.008), VSA (p = 0.014) and non-anginal pain (p < 0.001). Decreased ratio of endothelial EVs (CD144 +) to total EVs might serve as a "circulating footprint" of the mixed INOCA endotype.

To examine the relationship between gut microbiota and disease development in chronic heart failure patients with different nutritional risk. The study analyzed stool samples from 62 CHF patients and 21 healthy peoples using 16S rRNA gene sequencing. CHF patients were separated into risk (n = 30) and non-risk group (n = 32) based on NRS2002 scores. Analysis methods used were LEfSe, random forest regression model, ROC curves, BugBase, PICRUSt2, metagenomeSeq. Risk group includes 11 cases of HFrEF, 6 cases of HFpEF, and 13 cases of HFmrEF. LefSe analysis confirmed that the risk group had higher levels of Enterobacter and Escherichia-Shigella. Correlation analysis revealed a negative correlation between prealbumin and Escherichia-Shigella. The presence of Enterobacter and Escherichia-Shigella worsens intestinal inflammation in CHF patients, impacting lysine metabolism by influencing its degradation metabolic function. This interference further disrupts albumin and prealbumin synthesis, leading to malnutrition in CHF patients and ultimately worsening the disease.

Higher blood pressure (BP) variability (BPV) was shown to be strong predictors of poor cardiovascular outcomes in heart failure (HF). It is currently unknown if low-level tragus stimulation (LLTS) would lead to improvement in BPV in acute HF (AHF). The 22 patients with AHF (median 80 yrs, males 60%) were randomly assigned to active or sham group using an ear clip attached to the tragus (active group) or the earlobe (sham group) for 1 h daily over 5 days. In the active group, standard deviation (SD), coefficient of variation (CV) and δ in SBP were significantly decreased after LLTS (all p < 0.05). All the changes in SD, CV and δ in SBP before and after stimulation were also significantly different between active and sham groups (all p < 0.05). This proof-of-concept study demonstrates the beneficial effects of LLTS on BPV in AHF.

Endothelial-to-mesenchymal transition (EndoMT) is associated with neointimal hyperplasia and vein graft failure, and heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) has emerged as a major modulator of EMT. We aimed to investigate the functional consequence of EndoMT in neointimal hyperplasia and the precise role of hnRNPA1 in the regulation of EndoMT and neointimal hyperplasia. We investigated the spatial and temporal distribution characteristics of EndoMT cells in a mouse model of vein graft transplantation. In vitro, we studied the interaction between EndoMT cells and VSMCs, and the underlying mechanism was investigated by cytokine antibody assays. In cultured HUVECs, we studied the effect of hnRNPA1 on EndoMT and the cellular interactions by using siRNA-mediated knockdown and adenovirus-mediated overexpression. We further investigated the role of hnRNPA1 in EndoMT and neointimal hyperplasia in vivo with an AAV-mediated EC-specific hnRNPA1 overexpression murine model. We demonstrated the presence of EndoMT cells during the initial stage of neointimal formation, and that EndoMT cells promoted the proliferation and migration of VSMCs in vitro. Mechanistic studies revealed that EndoMT cells express and secrete a higher level of PDGF-B. Furthermore, we found a regulatory role for hnRNPA1 in EndoMT in vitro and in vivo. Similarly, we found that hnRNPA1 overexpression in ECs reduced the expression and secretion of PDGF-B during EndoMT, effectively inhibiting EndoMT cell-mediated activation of VSMCs in vitro and neointimal formation in vivo. Taken together, these findings indicate that EndoMT cells can activate VSMCs through a paracrine mechanism mediated by hnRNPA1 and lead to neointimal hyperplasia.

Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an elevation in left ventricular filling pressures (LVP) to compensate. LVP increase can be assessed in the cardiac catheterization laboratory, but this procedure is invasive and time-consuming to the extent that physicians rather rely on non-invasive diagnostic tools. In this work, we assess the feasibility to develop a novel machine-learning (ML) approach to predict clinically relevant LVP indices. Synchronized invasive (pressure-volume tracings) and non-invasive signals (ECG, pulse oximetry, and cardiac sounds) were collected from anesthetized, closed-chest Göttingen minipigs. Animals were either healthy or had HF with reduced ejection fraction and circa 500 heartbeats were included in the analysis for each animal. The ML algorithm showed excellent prediction of LVP indices estimating, for instance, the end-diastolic pressure with a R² of 0.955. This novel ML algorithm could assist clinicians in the care of HF patients.