Virna Margarita Martín Giménez¹, SebastiáN GarcíA MenéNdez^2,3, Luiz Gustavo A. Chuffa⁴, Vinicius Augusto SimãO⁴, Russel J. Reiter⁵, Ramaswamy Sharma⁶, Walter Balduini⁷, Carla Gentile⁸, Walter Manucha^2,3,*

BIOCELL, Vol.49, No.12, pp. 2245-2282, 2025, DOI:10.32604/biocell.2025.071830 - 24 December 2025

Abstract Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS) are characterized by progressive neuronal loss, which is closely linked to mitochondrial dysfunction. These pathologies involve a complex interplay of genetics, protein misfolding, and cellular stress, culminating in impaired energy metabolism, an increase in reactive oxygen species (ROS), and defective mitochondrial quality control. The accumulation of damaged mitochondria and dysregulation of pathways such as the Integrated Stress Response (ISR) are central to the pathogenesis of these conditions. This review explores the critical relationship between mitochondrial stress… More >

Ilhong Son^1,2, Sun Jung Han², Dong Hwan Ho^1,3,*

BIOCELL, Vol.49, No.12, pp. 2283-2297, 2025, DOI:10.32604/biocell.2025.071119 - 24 December 2025

Abstract The potential of urinary biomarkers to facilitate non-invasive monitoring of Parkinson’s disease (PD) is a promising avenue, offering insights into the complex pathophysiology of the disease. The aggregation of α-synuclein, a central feature of PD, can be detected in urine, providing a diagnostic clue. Mutations in the LRRK2 gene, associated with increased kinase activity, can be estimated through the measurement of phosphorylated LRRK2 (pS1292) in urine. Oxidative stress, a hallmark of PD, is reflected in elevated levels of oxidized DJ-1 (oxDJ-1) in urine. Beyond these core biomarkers, other urinary components like DOPA decarboxylase, acetyl phenylalanine, More >

Shun Maki^1,*, Satoshi Nakano¹, Taiki Haga², Takehiro Niitsu¹, Ikuya Ueta¹

Congenital Heart Disease, Vol.20, No.5, pp. 547-558, 2025, DOI:10.32604/chd.2025.072277 - 30 November 2025

Abstract Background: Considering the limited evidence for acute postoperative nutritional therapy for congenital heart disease (CHD), this study evaluated the effects of achieving enteral nutrition (EN) targets in the acute postoperative phase on clinical outcomes in infants after congenital heart surgery. Methods: This retrospective cohort study, conducted in a multivalent pediatric intensive care unit (PICU), enrolled infants aged ≤6 months following congenital heart surgery between April 2021 and March 2023. Based on the American Society for Parenteral and Enteral Nutrition guidelines, the EN target was defined as two-thirds of the resting energy expenditure with a protein intake… More >

Yang Xu^1,#, Yaqi Zhang^2,#, Meijiao Zhu³, Pengcheng Xue⁴, Siyu Ma¹, Di Yu¹, Liang Hu¹, Yuxi Zhang¹, Wei Peng¹, Jirong Qi¹, Xuyun Wen⁴, Ming Yang³, Xuming Mo^1,2,5,*

Congenital Heart Disease, Vol.20, No.5, pp. 559-570, 2025, DOI:10.32604/chd.2025.072242 - 30 November 2025

Abstract Background: The life-course management of children with tetralogy of Fallot (TOF) has focused on demonstrating brain structural alterations, developmental trajectories, and cognition-related changes that unfold over time. Methods: We introduce an magnetic resonance imaging (MRI) dataset comprising TOF children who underwent brain MRI scanning and cross-sectional neurocognitive follow-up. The dataset includes brain three-dimensional T1-weighted imaging (3D-T1WI), three-dimensional T2-weighted imaging (3D-T2WI), and neurodevelopmental evaluations using the Wechsler Preschool and Primary Scale of Intelligence–Fourth Edition (WPPSI-IV). Results: Thirty-one children with TOF (age range: 4–33 months; 18 males) were recruited and completed corrective surgery at the Children’s Hospital of Nanjing More >

Khaled Elenizi¹, Abdullah Sharaf Aldeen², Nasser Alotaibi^3,*, Nagy Fagir², Hussien Hado², Mubarak Aldossari²

Congenital Heart Disease, Vol.20, No.5, pp. 539-546, 2025, DOI:10.32604/chd.2025.071226 - 30 November 2025

Abstract Persistent left superior vena cava (PLSVC) is a rare congenital anomaly that may complicate cardiac procedures when associated with a dilated coronary sinus (CS) and conduction disturbances. We report the case of a 27-year-old male with Wilson’s disease who presented with complete heart block. Echocardiography showed biatrial enlargement and severe CS dilation, while contrast-enhanced computed tomography (CT) confirmed PLSVC draining into the CS without a bridging vein. Anatomical constraints prevented cardiac resynchronization therapy, and dual-chamber pacemaker implantation proved technically challenging due to lead placement difficulties. This case highlights the importance of thorough preoperative assessment and More >

Lanqing Qu^1,2,#, Jinbiao Zhang^1,2,#, Wei Jiang^1,2, Jiayu Zhang^1,2, Die Li¹, Wei Cheng³, Linghua Tao⁴, Hongdan Zhu⁵, Jing Li⁶, Min Xue⁷, Feng Chen⁸, Cuicui Xu⁹, Qiang Shu^1,2,*, Weize Xu^1,2,*

Congenital Heart Disease, Vol.20, No.5, pp. 571-580, 2025, DOI:10.32604/chd.2025.066258 - 30 November 2025

Abstract Background: Congenital heart disease (CHD) is the most common congenital anomaly, but whether the COVID-19 pandemic affects its prevalence is unknown. We aimed to compare the incidence of CHD during the COVID-19 pandemic with that before the pandemic in China. Methods: This multicenter retrospective observational study involved all newborns in seven representative cities of China between 01 September 2019, and 31 December 2021. All the newborns underwent pulse oximetry monitoring combined with cardiac murmur auscultation in the first 6 h to 72 h after birth for CHD screening. We defined fetuses born in and beyond September… More >

Jun He¹, Jianli Luo¹, Yanling Wang^1,*, Dai Zhou^1,*, Shuanglin Xiang^2,*

Congenital Heart Disease, Vol.20, No.5, pp. 613-623, 2025, DOI:10.32604/chd.2025.071773 - 30 November 2025

Abstract Pediatric congenital heart disease (CHD) pharmacotherapy faces three fundamental barriers: developmental pharmacokinetic complexity, anatomic-genetic heterogeneity, and evidence chain gaps. Traditional agents exhibit critical limitations: digoxin’s narrow therapeutic index (0.5–0.9 ng/mL) is exacerbated by ABCB1 mutations (toxicity risk increases 4.1-fold), furosemide efficacy declines by 35% in neonates due to NKCC2 immaturity, and β-blocker responses vary by CYP2D6 polymorphisms (poor metabolizers require 50–75% dose reduction). Novel strategies demonstrate transformative potential—CRISPR editing achieves 81% reversal of BMPR2-associated pulmonary vascular remodeling, metabolically matured cardiac organoids replicate adult myocardial energy metabolism for drug screening, and SGLT2 inhibitors activate triple mechanisms (calcium overload More >

Zhe He¹, Yaning Zhang^2,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1747-1768, 2025, DOI:10.32604/ijmhp.2025.070491 - 28 November 2025

Abstract Background: Depression represents a significant global mental health burden, particularly among middle-aged and older Chinese with chronic diseases in high-altitude regions, where harsh environmental conditions and limited social support exacerbate mental health disparities. This paper aims to develop an interpretable machine learning prediction framework to identify the key factors of depression in this vulnerable population, thereby proposing targeted intervention measures. Methods: Utilizing data from the China Health and Retirement Longitudinal Study in 2020, this paper screened out and analyzed 2431 samples. Subsequently, Recursive Feature Elimination and Least Absolute Shrinkage and Selection Operator were applied to screen… More >

Sidra Naseem¹, Rashid Jahangir^1,*, Nazik Alturki², Faheem Shehzad³, Muhammad Sami Ullah⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2481-2501, 2025, DOI:10.32604/cmes.2025.072575 - 26 November 2025

Abstract Diagnosing gastrointestinal tract diseases is a critical task requiring accurate and efficient methodologies. While deep learning models have significantly advanced medical image analysis, challenges such as imbalanced datasets and redundant features persist. This study proposes a novel framework that customizes two deep learning models, NasNetMobile and ResNet50, by incorporating bottleneck architectures, named as NasNeck and ResNeck, to enhance feature extraction. The feature vectors are fused into a combined vector, which is further optimized using an improved Whale Optimization Algorithm to minimize redundancy and improve discriminative power. The optimized feature vector is then classified using artificial… 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 >