Chunyan Shan

Dapagliflozin regulates autophagy in nephropathy associated with non-diabetic obesity via elevated plasma β-hydroxybutyrate levels

Yan Kong, Xiaoyue Peng, Wenying Fan, Li Zhang et autres

Obesity is a major contributor to chronic kidney disease, accounting for approximately 20%-25% of cases globally. In obesity-related kidney disease (OKD), ectopic lipid accumulation in renal proximal tubule cells impairs autophagic flux, exacerbating kidney injury. Sodium-glucose cotransporter-2 (SGLT-2) inhibitors, such as dapagliflozin, …

cn (code pays fourni par la source)

Boosted diagnostic accuracy in glaucoma detection with SqueezeNet-TR lite architecture and precise optic disc localization

Mohamed Mouhafid, Chunyan Shan, Zhitao Xiao

Glaucoma, the leading cause of irreversible blindness, requires early and accurate detection for effective treatment planning. Existing automated systems encounter several limitations, including insufficient accuracy in detecting subtle glaucoma-related changes, computational inefficiency, reliance on full-fundus views, class imbalance, and lack of interpretability, …

cn (code pays fourni par la source)

Assessment of anxiety symptoms with low social support and associated factors among men who have sex with men (MSM): A cross-sectional study

Yiwei Zhou, Chunyan Shan, Zu-mu Zhou

OBJECTIVE: This study aims to examine the levels of anxiety symptoms and perceived social support among the men who have sex with men (MSM) population, to assess the level of both anxiety and low social support, and associated factors in this population. …

cn (code pays fourni par la source)

Multi-class glaucoma diagnosis using GlauVGG-Net and multi-transform dynamic data augmentation

Mohamed Mouhafid, Yatong Zhou, Chunyan Shan, Zhitao Xiao et autres

cn (code pays fourni par la source)

Towards efficient glaucoma screening with modular convolution-involution cascade architecture

Mohamed Mouhafid, Yatong Zhou, Chunyan Shan, Zhitao Xiao

Automated glaucoma detection from retinal fundus images plays a crucial role in facilitating early intervention and improving the management of this progressive ocular condition. Although convolutional neural networks (CNNs) have significantly advanced image analysis, current CNN-based models encounter two major limitations. First, …

cn (code pays fourni par la source)

A Robust Approach to Early Glaucoma Identification from Retinal Fundus Images using Dirichlet-based Weighted Average Ensemble and Bayesian Optimization

Mohamed Mouhafid, Yatong Zhou, Chunyan Shan, Zhitao Xiao

OBJECTIVE: Glaucoma is a leading cause of irreversible visual impairment and blindness worldwide, primarily linked to increased intraocular pressure (IOP). Early detection is essential to prevent further visual impairment, yet the manual diagnosis of retinal fundus images (RFIs) is both time-consuming and …

cn (code pays fourni par la source)

MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification

Xin Shan Wei, Yanbei Liu, Fang Zhang, Lei Geng et autres

cn (code pays fourni par la source)

Berberine attenuates obesity-induced skeletal muscle atrophy via regulation of FUNDC1 in skeletal muscle of mice

Yijie Wu, Yanhui Yang, Caixia Du, Xiaoyue Peng et autres

Skeletal muscle atrophy is a complication of obesity, partially induced by impaired mitophagy. This study investigates whether Berberine(BBR) protects mice from obese skeletal muscle atrophy and the underlying molecular mechanism. Twenty C57BL/6 mice were fed a high-fat diet until they weighed more …

cn (code pays fourni par la source)

Enhanced Pneumonia Detection in Chest x-rays using Hybrid Convolutional and Vision Transformer Networks

Yatong Zhou, Chunyan Shan, Zhitao Xiao

OBJECTIVE: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce …

cn (code pays fourni par la source)

Preliminary Study of Air Pollution and Adverse Pregnancy Outcomes: A Mendelian Randomization Study

Chunyan Shan, Li‐Wen Chen, Hua-Yan Mo, Xin Chen et autres

The chief aim of this research is to investigate the causality of air pollutants and adverse pregnancy outcomes. Two-sample Mendelian randomization was conducted, employing genetic variants connected with air pollution as instrumental variables. Sixteen adverse pregnancy outcomes were extracted as the main …

cn (code pays fourni par la source)

Corrigendum: Effectiveness, safety, and treatment pattern of sodium zirconium cyclosilicate in Chinese patients with hyperkalemia: interim analysis from a multicenter, prospective, real-world study (Actualize Study)

Nan Shen, Lihong Zhang, Jing Han Yang, Yongqiang Lin et autres

Incorrect AffiliationIn the published article, there was an error in affiliation(s) [22]. Instead of “[22Qidong People’s Hospital, The First Hospital of Tsinghua University, Beijing, China]”, it should be “[22Qidong People’s Hospital Affiliated Qidong Hospital of Nantong University, Jiangsu, China]”. The authors apologize …

cn (code pays fourni par la source)

Interactive correlations between artificial light at night, health risk behaviors, and cardiovascular health among patients with diabetes: A cross‐sectional study

Yi Zhang, Keyan Hu, Ying Tang, Qing Feng et autres

BACKGROUND: Artificial light at night (ALAN) is a common phenomenon and contributes to the severe light pollution suffered by more than 80% of the world's population. This study aimed to evaluate the relationship between outdoor ALAN exposure and cardiovascular health (CVH) in …

cn (code pays fourni par la source)