Accumulating evidence has established that systemic inflammation is an important pathophysiologic factor of coronary heart disease (CHD). In this study, we investigated whether catechin exerts anti-inflammatory function in CHD rats. CHD model of rats was established by high-fat diet feeding and pituitrin injection. The successful building of CHD model was confirmed using blood liquid biochemical analyzer. Additionally, the effects of catechin on CHD parameters and several inflammatory signaling were investigated. The levels of total cholesterol, high-density lipoprotein, low-density lipoprotein cholesterin, triglyceride and blood glucose were all significantly elevated in CHD rats compared to them in control rats, suggesting the successful establishment of CHD model. Administration of catechin attenuated CHD by reversing the levels of creatine kinase, creatine kinase-MB, lactate dehydrogenase, cardiac troponin (cTnT), ventricular ejection fraction (LVEF) and systolic internal diameter (LVIDs). Additionally, several inflammatory biomarkers or cytokines such as C-reactive protein, lipoprotein-associated phospholipase A2 (Lp-PLA2), interleukin (IL)-6 and tumor necrosis factor-alpha (TNF-α) were inhibited by catechin. In contrast to nuclear factor-kappa beta (NF-κB), several proteins involved in inflammation such as farnesoid X receptor, signal transducers and activators of transcription (STAT)-3 and protein kinase B (PKB/Akt) were all activated by catechin. Catechin could be used as a promising treatment for CHD based on its role in suppressing inflammation and balancing STAT-3 signaling.
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http://dx.doi.org/10.1007/s12012-018-9449-z | DOI Listing |
iScience
February 2025
Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. Leveraging deep learning models, we examined the predicted impact of ncDNVs on gene regulatory signals.
View Article and Find Full Text PDFFront Plant Sci
January 2025
College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Chlorophyll density (ChD) can reflect the photosynthetic capacity of the winter wheat population, therefore achieving real-time non-destructive monitoring of ChD in winter wheat is of great significance for evaluating the growth status of winter wheat. Derivative preprocessing has a wide range of applications in the hyperspectral monitoring of winter wheat chlorophyll. In order to research the role of fractional-order derivative (FOD) in the hyperspectral monitoring model of ChD, this study based on an irrigation experiment of winter wheat to obtain ChD and canopy hyperspectral reflectance.
View Article and Find Full Text PDFBackground: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFBMC Med Genomics
January 2025
Department of Cardiovascular Surgery, Gansu Provincial Hospital, No. 204, Donggang West Road, Lanzhou City, Gansu Province, 730000, China.
Background: We did this study to better clarify the correlations of methylenetetrahydrofolate dehydrogenase 1 (MTHFD1)-G1958A (rs2236225) gene polymorphism with the risk of congenital heart diseases (CHD) and its subgroups.
Methods: Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP database and Wanfang DATA until October 2023. We will use odds ratios (ORs) and 95% confidence intervals (CIs) to examine the potential associations of MTHFD1- G1958A gene polymorphism with CHD and its subgroups.
Med Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
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