Results 171 to 180 of about 2,747,980 (293)

Targeted Degradation of eEF2K by a Structure‐Guided PROTAC Strategy for the Treatment of Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study developed an eEF2K‐targeting PROTAC, A6, that efficiently degrades eEF2K in TNBC cells, inhibiting tumor growth in vitro and in vivo. To enhance tumor‐specific delivery, we engineered A6@ZIF‐8, a pH‐sensitive nanocarrier, which improved drug accumulation at tumor sites, offering a promising therapeutic strategy for TNBC through targeted ...
Shijun Cao   +10 more
wiley   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion

open access: yesAdvanced Science, EarlyView.
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang   +8 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

open access: yesAdvanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin   +16 more
wiley   +1 more source

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