Results 191 to 200 of about 541,112 (308)
Circular RNAs in sepsis-induced acute lung injury: emerging mechanisms and therapeutic potential. [PDF]
Liu Q +8 more
europepmc +1 more source
This study develops a GSH‐responsive nanoplatform, NP@Fla‐Cu, to co‐activate cuproptosis and excessive mitophagy in uveal melanoma. The nanoplatform enhances tumor‐specific copper delivery, depletes antioxidant defenses, and remodels the tumor immune microenvironment.
Hong Ren +5 more
wiley +1 more source
Toxoplasma gondii-induced ferroptosis contributes to acute lung injury in mice. [PDF]
Yuan X +11 more
europepmc +1 more source
NSUN5 is downregulated in hyperuricaemic nephropathy. Overexpression of NSUN5 enhances the stability of SCD1 mRNA through the m5C reader YBX2, ultimately inhibiting ferroptosis in renal tubular epithelial cells. Additionally, this axis suppresses the NF‐κB signaling pathway to alleviate inflammation and upregulates ABCG2 to promote uric acid excretion,
Xiu‐xiu Song +12 more
wiley +1 more source
Golgi-Targeted Viscosity Fluorescent Probe for Monitoring Acute Lung Injury. [PDF]
Li Y +7 more
europepmc +1 more source
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
YOD1 promotes ferroptosis in acute lung injury by deubiquitination of NCOA4. [PDF]
Yan X +11 more
europepmc +1 more source
ABSTRACT Advancements in tissue engineering have revolutionized therapeutic paradigms for diabetic tissue defects; however, the lack of applicable scaffold containing various bioactive substance aggregates remained a critical bottleneck hindering satisfactory repair effect.
Tao Wang +8 more
wiley +1 more source
Acute lung injury: pathogenesis and treatment. [PDF]
Liu H +7 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

