Jiafei He^1,2, Ailixiati Alifu², Haifan Wang², Renwei Chen^1,2,*

Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.075858 - 31 March 2026

Abstract Hyperglycemia in pregnancy (HIP) is an important independent risk factor for congenital heart disease (CHD) in offspring. With an increasing number of women of childbearing age experiencing gestational hyperglycemia, the impact of an intrauterine hyperglycemic environment on fetal development has drawn significant attention. However, the teratogenic mechanisms underlying its effects on cardiac development remain incompletely understood. This review systematically analyzes relevant literature to summarize its underlying mechanisms and key findings: A hyperglycemic environment disrupts cardiac neural crest cell migration, differentiation, and the proliferation/apoptosis balance of cardiomyocytes by inducing oxidative stress, endoplasmic reticulum stress, and inflammatory… More >

Alessio L. Ravani¹, Michael I. Bukrinsky², Anastasia V. Poznyak^3,*

BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.074266 - 23 March 2026

Abstract Atherosclerosis (AS) remains a major contributor to cardiovascular disease (CVD) mortality worldwide. Its development involves dysregulated lipid handling, persistent vascular inflammation, and endothelial cell (EC) dysfunction, influenced by genetic, environmental, and lifestyle factors. Increasing evidence highlights a pivotal role of endoplasmic reticulum (ER) stress as a molecular link between lipid dysregulation and inflammatory signaling in AS pathogenesis. ER stress is triggered by modified LDL, oxidized lipids, hyperhomocysteinemia, oxidative stress (OS), and disrupted calcium (Ca²⁺) homeostasis, leading to activation of the unfolded protein response (UPR). Core UPR mediators—inositol-requiring enzyme 1 (IRE1), protein kinase RNA-like ER kinase (PERK),… More >

Zhen Wu^1,2, Hao Liu³, Linlin Zhang⁴, Zehui Zhang^5,*, Jie Wu¹, Haibin He¹, Bin Zhou⁶

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.075156 - 10 February 2026

Abstract Recently, Internet of Things (IoT) has been increasingly integrated into the automotive sector, enabling the development of diverse applications such as the Internet of Vehicles (IoV) and intelligent connected vehicles. Leveraging IoV technologies, operational data from core vehicle components can be collected and analyzed to construct fault diagnosis models, thereby enhancing vehicle safety. However, automakers often struggle to acquire sufficient fault data to support effective model training. To address this challenge, a robust and efficient federated learning method (REFL) is constructed for machinery fault diagnosis in collaborative IoV, which can organize multiple companies to collaboratively More >

Rasit Dinc¹, Nurittin Ardic^2,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.072337 - 23 January 2026

Abstract Neutrophil extracellular traps (NETs) have emerged as key mediators of cardiovascular diseases (CVDs), linking innate immune activation to vascular injury, thrombosis, and maladaptive remodeling. This review synthesizes recent insights into the molecular and cellular pathways driving NET formation, including post-translational modifications, metabolic reprogramming, inflammasome signaling, and autophagy. It highlights the role of NETs in atherosclerosis, thrombosis, myocardial ischemia-reperfusion injury, and hypertension, emphasizing common control points such as peptidylarginine deiminase 4 (PAD4)-dependent histone citrullination and nicotinamide adenine dinucleotide phosphate oxidases 2 (NOX2)-mediated oxidative stress. Mechanistic interpretation of circulating biomarkers, including myeloperoxidase (MPO)-DNA complexes, citrullinated histone H3,… More >

Hui Wei^1,2, Zhanfei Ma^1,3,*, Jing Jiang¹, Bisheng Wang¹, Zhong Di¹

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.069236 - 10 November 2025

Abstract The Internet of Vehicles (IoV) operates in highly dynamic and open network environments and faces serious challenges in secure and real-time authentication and consensus mechanisms. Existing methods often suffer from complex certificate management, inefficient consensus protocols, and poor resilience in high-frequency communication, resulting in high latency, poor scalability, and unstable network performance. To address these issues, this paper proposes a secure and efficient distributed authentication scheme for IoV with reputation-driven consensus and SM9. First, this paper proposes a decentralized authentication architecture that utilizes the certificate-free feature of SM9, enabling lightweight authentication and key negotiation, thereby… More >

Jae Hong Lee¹, Seung Min Baek², Hye Won Kwon³, Sungkyu Cho^3,4, Jae Gun Kwak^3,4, Woong-Han Kim^3,4,5,*

Congenital Heart Disease, Vol.20, No.6, pp. 647-658, 2025, DOI:10.32604/chd.2025.075046 - 10 February 2026

Abstract Background: We evaluated surgical outcomes of biventricular repair for atrioventricular septal defect (AVSD) with tetralogy of Fallot (TOF) or double-outlet right ventricle (DORV). Methods: This retrospective pilot study included 12 patients who underwent biventricular repair of AVSD with TOF (n = 6) or DORV (n = 6) between 2004 and 2023. Right ventricular outflow tract (RVOT) reconstruction was performed using transannular patch (TAP, n = 4) or pulmonary valve preservation (PVP, n = 8). Clinical outcomes, including longitudinal pulmonary valve growth, RVOT obstruction, and pulmonary regurgitation, were reviewed descriptively, with particular focus on the feasibility of PVP.… More >

Miguel Meñaca-Puentes^1,*, Juan-Camilo Arias-Ospina¹, Narmer F. Galeano², Reinel Tabares-Soto^1,3, Carlos Alberto Ruiz Villa¹

Congenital Heart Disease, Vol.20, No.6, pp. 743-767, 2025, DOI:10.32604/chd.2025.070423 - 10 February 2026

Abstract Atherosclerotic cardiovascular disease remains the leading cause of global mortality, with low-density lipoprotein cholesterol established as a primary causal risk factor. Despite widespread implementation of statin therapy, substantial interindividual variability in treatment response persists, necessitating precision medicine approaches to optimize therapeutic outcomes. This comprehensive narrative review synthesizes current understanding of pharmacogenomic determinants influencing lipid-lowering therapy efficacy, examines mechanisms underlying residual cardiovascular risk, and evaluates emerging therapeutic modalities targeting previously unexploited pathways in lipid metabolism. Genetic variants in key genes including 3-hydroxy-3-methylglutaryl-CoA reductase, apolipoprotein E, low-density lipoprotein receptor, and proprotein convertase subtilisin/kexin type 9 demonstrate significant… More >

Zhuoxi Feng^#,1, Jinyang Liu^#,2, Zihao Wu¹, Ziran Geng¹, Zhimin Liu^1,*

Congenital Heart Disease, Vol.20, No.5, pp. 625-636, 2025, DOI:10.32604/chd.2025.069214 - 30 November 2025

Abstract Congenitally corrected transposition of the great arteries (CCTGA) is a rare congenital heart disease characterized by atrioventricular, ventriculoarterial, and conduction system discordance, commonly accompanied by atrioventricular block (AVB). Pacing in patients with CCTGA and AVB (both pediatric and adult) poses challenges in strategy selection, procedural complexity, and clinical decision-making due to limited evidence. Conventional morphological left ventricular pacing is widely adopted but may induce ventricular dyssynchrony, heart failure, and tricuspid valve dysfunction. While cardiac resynchronization therapy serves as an upgrade for pacing-induced cardiomyopathy and heart failure, its application may be limited by coronary sinus anatomical… More >

Sam Rahimzadeh Holagh¹, Bugao Xu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2383-2399, 2025, DOI:10.32604/cmes.2025.072259 - 26 November 2025

Abstract Cardiovascular diseases (CVD) remain a leading cause of mortality worldwide, highlighting the need for precise risk assessment tools to support clinical decision-making. This study introduces a meta-learning model for predicting mortality risk in patients with CVD, classifying them into high-risk and low-risk groups. Data were collected from 868 patients at Tabriz Heart Hospital (THH) in Iran, along with two open-access datasets—the Cleveland Heart Disease (CHD) and Faisalabad Institute of Cardiology (FIC) datasets. Data preprocessing involved class balancing via the Synthetic Minority Over-Sampling Technique (SMOTE). Each dataset was then split into training and test sets, and… More >

Soumia Zertal^1,2,*, Asma Saighi^1,2, Sofia Kouah^1,2, Souham Meshoul^3,*, Zakaria Laboudi^2,4

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3737-3782, 2025, DOI:10.32604/cmes.2025.068558 - 30 September 2025

Abstract Cardiovascular diseases (CVDs) continue to present a leading cause of mortality worldwide, emphasizing the importance of early and accurate prediction. Electrocardiogram (ECG) signals, central to cardiac monitoring, have increasingly been integrated with Deep Learning (DL) for real-time prediction of CVDs. However, DL models are prone to performance degradation due to concept drift and to catastrophic forgetting. To address this issue, we propose a real-time CVDs prediction approach, referred to as ADWIN-GFR that combines Convolutional Neural Network (CNN) layers, for spatial feature extraction, with Gated Recurrent Units (GRU), for temporal modeling, alongside adaptive drift detection and… More > Graphic Abstract