Resveratrol is well known for its anti-inflammation and anti-oxidant properties, and has been shown to be effective in alleviating the development of obesity. The purpose of this investigation was to analyze the effect of resveratrol on renal damage in obese rats induced by a high-fat diet (HFD) and its possible mechanisms. Male Sprague-Dawley rats were divided into three groups: control, HFD, and HFD plus resveratrol (treated with 100 mg/kg/day resveratrol). Body weight, serum and urine metabolic parameters, and kidney histology were measured. Meanwhile, the activities of nuclear factor-κB (NF-κB) and superoxide dismutase (SOD), the content of malondialdehyde (MDA), and the protein levels of tumor necrosis factor (TNF-α), monocyte chemotactic protein-1 (MCP-1), nephrin and podocin in kidney were detected. Our work showed that resveratrol alleviated dyslipidemia and renal damage induced by HFD, decreased MDA level and increased SOD activity. Furthermore, the elevated NF-κB activity, increased TNF-α and MCP-1 levels, and reduced expressions of nephrin and podocin induced by HFD were significantly reversed by resveratrol. These results suggest resveratrol could ameliorate renal injury in rats fed a HFD, and the mechanisms are associated with suppressing oxidative stress and NF-κB signaling pathway that in turn up-regulate nephrin and podocin protein expression.

Objectives: To develop and validate a clinical diagnostic model based on optical pumped magnetometer magnetocardiography (OPM-MCG) for the detection of myocardial ischaemia in patients with borderline coronary lesions prior to invasive coronary angiography (ICA). Design: Prospective observational cohort study. Setting: Single centre of the China National Clinical Research Centre for Cardiovascular Disease (NCCMRC). Participants: Adults with borderline coronary lesions on ICA (n=141). Interventions: Underwent OPM-MCG before ICA and fractional flow reserve measurement. Results: Five parameters were included in the final diagnostic model: MAg _max -TT, δDt _sum -PN, δAg _sum -C, δAr _sum -N and δAr _min -N. 1000 bootstrap replications showed that the area under the receiver operating characteristic curve and 95% CI of the diagnostic model were 0.864 (0.803–0.925), with a sensitivity of 79.4%, specificity of 80.8%, positive predictive value of 79.4% and negative predictive value of 80.8%. Decision curve analysis showed a net benefit from the predictive model when the threshold probability of an ischaemic patient was >12%, suggesting the potential utility of the model in the real world. Conclusions: A nomogram based on five OPM-MCG parameters was developed to assess myocardial ischaemia in patients with borderline coronary lesions and has the potential to reduce the need for unnecessary ICA. Trial registration number: China Clinical Trial Registry (ChiCTR2300072382).

A growing amount of evidence provides support for the hypothesis that acute myocardial infarction (AMI) patients should go through cardiopulmonary exercise testing (CPET) about 3-5 d after AMI is diagnosed, make reasonable exercising prescription, and conduct exercise training under guidance. To investigate the effect of exercise training (ET) on left ventricular systolic function and left ventricular remodeling (LVRM) and to study the possible mechanisms of LVRM by the changes of matrix metallopeptidase 9 (MMP-9) and tissue inhibitor of metalloproteinases 1 (TIMP-1) in patients with acute ST-segment elevation myocardial infarction (STEMI). Sixty patients with first STEMI undergoing direct percutaneous coronary intervention from February 2008 to October 2008 were randomly assigned to an exercise group (n = 30) and a control group (n = 30). The levels of MMP-9 and TIMP-1 were measured in all patients at 1 d, 10-14 d, 30 d, and 6 mo after admission. Two-dimensional echocardiography and cardiopulmonary exercise testing were done in patients at 10-14 d and 6 mo after admission. There was no significant difference in CPET at baseline between the exercise group and the control group. At 6 mo, the time of exercise, peak and anaerobic threshold values of O₂ uptake, and metabolic equivalents increased in both groups, but markedly increased in the exercise group. At baseline, there were no significant differences in left ventricular ejection fraction (LVEF) between the two groups. At 6 mo, LVEF increased in the exercise group, but not in the control group. At 6 mo, the percentage of patients with positive result of LVRM was 26.6% in the exercise group and 52.6% in the control group (P < 0.05). The levels of plasma MMP-9 and TIMP-1 and the ratio of MMP-9 to TIMP-1 in both groups had no significant difference at 1 d and 10-14 d after AMI, but at 30 d and 6 mo, the levels of plasma MMP-9 and TIMP-1 in the exercise group were significantly lower than those in the control group; the ratio of MMP-9 to TIMP-1 in the exercise group was significantly higher than that in the control group. ET under supervision based on home condition in early and recovery stage of AMI can improve exercise cardiopulmonary function and prevent the LVRM. Therefore, it may reduce unfavorable remodeling response by decreasing the levels of plasma MMP-9 and TIMP-1 and adjusting the ratio of MMP-9 to TIMP-1 hereafter.

Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease. However, a detailed DNA methylation (DNAme) landscape has not yet been elucidated. Our study combined DNAme and transcriptome profiles for HCM myocardium and identify aberrant DNAme associated with altered myocardial function in HCM. The transcription of methylation-related genes did not significantly differ between HCM and normal myocardium. Nevertheless, the former had an altered DNAme profile compared with the latter. The hypermethylated and hypomethylated sites in HCM tissues had chromosomal distributions and functional enrichment of correlated genes differing from those of their normal tissue counterparts. The GO analysis of network underlying the genes correlated with DNAme alteration and differentially expressed genes (DEGs) shows functional clusters centred on immune cell function and muscle system processes. In KEGG analysis, only the calcium signalling pathway was enriched either by the genes correlated with changes in DNAme or DEGs. The protein-protein interactions (PPI) underlying the genes altered at both the DNAme and transcriptional highlighted two important functional clusters. One of these was related to the immune response and had the estrogen receptor-encoding ESR1 gene as its node. The other cluster comprised cardiac electrophysiology-related genes. Intelliectin-1 (ITLN1), a component of the innate immune system, was transcriptionally downregulated in HCM and had a hypermethylated site within 1500 bp upstream of the ITLN1 transcription start site. Estimates of immune infiltration demonstrated a relative decline in immune cell population diversity in HCM. A combination of DNAme and transcriptome profiles may help identify and develop new therapeutic targets for HCM.

With the advancement of fractional flow reserve (FFR) derived from computed tomography (FFR_CT), virtual stenting technology has gradually developed. This study investigated the performance of virtual stenting based on FFR_CT in predicting post-percutaneous coronary intervention (PCI) FFR. Data from 75 patients (78 blood vessels) was collected retrospectively. We randomly allocated the participants to discovery (n = 26) and validation (n = 52) cohorts. The FFR_CT was calculated using pre-PCI coronary computed tomography angiography images. Virtual stent implantation was simulated using blinded and non-blinded virtual stenting methods to obtain post-virtual stenting FFR_CT. The median FFR_CT before PCI and invasive FFR were 0.70 (0.60–0.77) and 0.69 (0.63–0.76), respectively. The median FFR_CT were 0.91 (0.86–0.95) and 0.91 (0.87–0.94) in the blinded and non-blinded groups, respectively; the invasive post-PCI FFR was 0.90 (0.88–0.93). The difference between the FFR_CT after using the blinded/non-blinded method and the invasive post-PCI FFR were 0.010 (95% limits of agreement: −0.064 to 0.084) and 0.009 (−0.050 to 0.068) in the discovery cohort and −0.005 (−0.075 to 0.064) and −0.0002 (−0.064 to 0.064) in the validation cohort, respectively. Virtual stenting technology based on FFR_CT can effectively predict functional outcomes after PCI and could be a reliable tool for PCI procedural planning.

Aim: Deep learning has advanced medical artificial intelligence, but many electrocardiogram (ECG) records remain available only as paper-based documents. Scanned paper ECG images often contain grid lines, background artifacts, and unstructured waveform information, which limits their direct use for quantitative ECG analysis. This study aimed to develop an improved ECG image segmentation method for extracting clean ECG traces from scanned paper-based ECG records and supporting subsequent ECG signal digitization. Methods: We proposed CU2-NeXt, an ECG image segmentation framework that extends U2-Net with ConvNeXt modules and incorporates convolutional block attention module (CBAM) to emphasize waveform-related features while suppressing background artifacts. Viterbi dynamic programming was subsequently applied to reconstruct continuous signal trajectories from the segmented waveform pixels. Results: On the evaluated dataset, CU2-NeXt achieved a macro-F1 score of 88.9% and a Dice coefficient of 78.7%, with higher overlap-based performance than the evaluated baseline segmentation models. Conclusion: These findings demonstrate the feasibility of using CU2-NeXt for ECG trace extraction and digitization from scanned paper ECG images. The proposed framework may provide a useful preprocessing approach for converting paper ECG records into analyzable digital signals and supporting downstream quantitative ECG analysis.