Results 151 to 160 of about 38,910 (263)

AARS1‐Mediated RUNX3 K193 Lactylation Enhances the Activation and Cytotoxicity of CD8+T Cells in Smoking‐Related Emphysema

open access: yesAdvanced Science, EarlyView.
Exposure to CS causes an elevation of AARS1 levels, which increases the levels of RUNX3 lactylation at the K193 site and increases protein levels of RUNX3 through inhibition of autolysosomal degradation. Elevated RUNX3 levels promote CD8+T cell activation and augment their cytotoxicity, which induces alveolar epithelial cell death and facilitates the ...
Ying Zhu   +12 more
wiley   +1 more source

A Novel Pak1 Activator Ameliorates ER Stress for HFpEF Therapy

open access: yesAdvanced Science, EarlyView.
Chronic metabolic stress is a major contributor to HFpEF progression. Under prolonged metabolic stress, Pak1 activity becomes impaired, contributing to disrupted ER proteostasis, cardiomyocyte apoptosis, fibrosis, and diastolic dysfunction. Mechanistically, Pak1 overexpression activates the ERK1/2–MNK1–eIF4E signaling axis, promotes translational ...
Honglin Xu   +17 more
wiley   +1 more source

Copper‐Doped Prussian Blue Nanozymes With Hyaluronic Acid‐Mediated Targeting Alleviate Oxidative Stress and Regulate Cholesterol Handling for Atherosclerosis Therapy

open access: yesAdvanced Science, EarlyView.
CuPB@HA is a CD44‐associated, plaque‐targeted nanozyme that alleviates oxidative stress, inflammation, and lipid accumulation in macrophages. By reducing CD36‐dependent lipid uptake and promoting ABCA1/ABCG1‐mediated cholesterol handling, it improves macrophage function, preferentially accumulates in atherosclerotic lesions, reduces plaque burden, and ...
Jianliang Ou   +14 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

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