Author

Shu-Yao Zhang

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Open access Jul 2026

Prediction of the clinical outcomes of imipenem and meropenem in patients with treatment-associated AKI and death via machine learning models combined with pharmacokinetic parameters: A retrospective cohort study

Objective The present study aimed to develop and evaluate machine learning-based predictive models for acute kidney injury (AKI) and all-cause mortality in patients treated with imipenem or meropenem, integrating pharmacokinetic (PK) parameters with routine clinical features. Methods A total of 235 patients who receive...

Yun Chen, Dan-Lin Zheng, Cheng-Kuan Zhao et al. · Science in progress · 0 citations

Open access Aug 2026

Extracellular vesicles from human adipose-derived mesenchymal stem cells reprogram macrophage lipid metabolism via the ABCF1/CPT1A/IL-10 axis to mitigate sepsis-induced acute lung injury

Sepsis-induced acute lung injury (ALI) is a life-threatening syndrome characterized by overwhelming inflammation, immune dysregulation, and tissue damage. Metabolic reprogramming of macrophages has emerged as a central regulator of inflammatory responses. Extracellular vesicles (EVs) derived from mesenchymal stem cel...

Ling-Yu Zhang, Dainian Guo, Qing-Xuan He et al. · Cell Death Discovery · 0 citations

Review Open access Aug 2026

Exosomal Non-Coding RNAs Orchestrate Immune-Metabolic Networks in Triple-Negative Breast Cancer

Current evidence is synthesized on how exosomal ncRNAs orchestrate immune-metabolic networks that shape TNBC evolution and their emerging clinical applications as liquid biopsy biomarkers for diagnosis, prognostic stratification, and therapeutic monitoring, as well as their potential as therapeutic targets via antisens...

Hui-Xin Chen, Rong Luo, Jia-Kang Ma et al. · Cancer Biome and Targeted Th... · 0 citations