Results 191 to 200 of about 353,370 (309)

Amelioration of Post‐Stroke Edema and Microcirculatory Dysfunction via Targeted AQP4 Inhibition While Preserving the Glymphatic System

open access: yesAdvanced Science, EarlyView.
Compared to untargeted therapy, the targeted nanocarrier, Angiopep‐2‐conjugated Lipid Nanoparticle (A‐LNP) loaded with TGN‐020 (TGN), selectively accumulated in stroke‐injured regions. It suppressed local aquaporin‐4 (AQP4) overexpression, thereby alleviating cerebral edema and hypoperfusion while preserving global glymphatic clearance.
Lei Jin   +18 more
wiley   +1 more source

BREEDING MILK GOATS [PDF]

open access: yesJournal of Heredity, 1919
openaire   +1 more source

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

open access: yesAdvanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin   +12 more
wiley   +1 more source

Mechanical Strain‐Programmed SDC1+ Sheath Fibroblasts Trigger CXCR4hi Neutrophil‐Mediated Enthesitis in Ankylosing Spondylitis

open access: yesAdvanced Science, EarlyView.
In ankylosing spondylitis (AS), mechanical strain‐programmed SDC1+ sheath fibroblasts secrete CXCL5 to recruit neutrophils and promote the activation of CXCR4hi neutrophils, thereby exacerbating enthesitis by promoting neutrophil extracellular traps (NETs) formation. SOX5 controls the generation of SDC1+ sheath fibroblasts via super‐enhancers.
Jiajie Lin   +13 more
wiley   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

open access: yesAdvanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang   +9 more
wiley   +1 more source

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