Yudi Zhang

AHR Activation Mediates Sodium Pentachlorophenol-Induced Mitochondrial Dysfunction and Cardiomyocyte Apoptosis through Oxidative Stress

Lidong Chao, Ruoning Wu, Yudi Zhang, Jilong Luo et autres

Sodium pentachlorophenol (PCP-Na) is a persistent halogenated aromatic compound with poorly understood cardiotoxicity. This study investigated the underlying mechanisms using mouse models and HL-1 cardiomyocytes, integrating network toxicology, molecular docking, and targeted interventions with the AHR inhibitor CH223191, the antioxidant N -acetylcysteine …

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Hyperactivation of autophagy contributes to high-intensity exercise-induced atrial fibrillation by activating cardiac necroptosis and inflammatory responses

Yuping Fu, Lingyan Jin, Yudi Zhang, Haoyu Gong et autres

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Swim Exercise Mitigates BCAA ‐Induced Atrial Remodeling and AF Susceptibility via Inhibition of Bax‐Mediated Mitochondrial Apoptosis

Haoyu Gong, Lingyan Jin, Yudi Zhang, Lulu Gong et autres

Atrial fibrillation (AF), the most prevalent sustained cardiac arrhythmia, has been shown in our prior work to be mitigated by swim exercise. While accumulating evidence links elevated circulating branched-chain amino acids (BCAA) to cardiovascular disease, their specific involvement in AF pathogenesis and …

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Enabling Real-Time Conversations with Minimal Training Costs

Xu Wang, Haoyu Wang, Shuo Wang, Weilin Zhao et autres

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Motor protein KIF5B inhibition as a novel strategy of controlled reperfusion against myocardial ischemia/reperfusion injury

Feng Gao, Yudi Zhang, Lingyan Jin, Haoyu Gong et autres

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Succinate predisposes mice to atrial fibrillation by impairing mitochondrial function via SUCNR1/AMPK axis

Yudi Zhang, Haoyu Gong, Lingyan Jin, Peng Liu et autres

Atrial fibrillation (AF), a major public health concern, is associated with high rates of death and disability. Mitochondrial dysfunction has emerged as a key contributor to the pathophysiology of AF. Succinate, an essential Krebs cycle metabolite, is often elevated in the circulation …

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Succinate Predisposes Mice to Atrial Fibrillation by Impairing Mitochondrial Function Via Sucnr1/Ampk Axis

Yudi Zhang, Haoyu Gong, Lingyan Jin, Peng Liu et autres

cn, us (code pays fourni par la source)

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models

Jie Liu, Wenxuan Wang, Su Yihang, Jingyuan Huang et autres

The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support. However, these models are often evaluated on benchmarks that are unsuitable for the Med-MLLMs due to the complexity of real-world diagnostics …

ANXA1-FPR2 axis mitigates the susceptibility to atrial fibrillation in obesity via rescuing AMPK activity in response to lipid overload

Peng Liu, Lu Wang, Yixin Wang, Linyan Jin et autres

Atrial fibrillation (AF) is the most prevalent arrhythmia in clinical practice, and obesity serves as a significant risk factor for its development. The underlying mechanisms of obesity-related AF remain intricate and have yet to be fully elucidated. We have identified FPR2 as …

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Method of enhancement and coloring for underwater image based on multichannel image feature fusion

Bin Zhou, Ali Jin, Yu Zhang, Ning Yan et autres

A method combining multi-source input fusion-based underwater image enhancement and GAN-driven grayscale image colorization is proposed to mitigate underwater imaging interference and lighten deep learning models for better generalization and real-time performance. Firstly, spatial domain image enhancement algorithms are utilized to pre-enhance …

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Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes

Haiqin Xie, Yudi Zhang, Licong Dong, Heng Lv et autres

Background Soft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malignant STTs, it still has several drawbacks …

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A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models

Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huan et autres

The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support. However, these models are often evaluated on benchmarks that are unsuitable for the Med-MLLMs due to the complexity of real-world diagnostics …