Results 211 to 220 of about 803,848 (312)

Phocaeicola coprophilus‐Derived 6‐Methyluracil Attenuates Radiation‐Induced Intestinal Fibrosis by Suppressing the IDO1‐Kynurenine‐AHR Axis

open access: yesAdvanced Science, EarlyView.
IR‐induced dysbiosis depletes P. coprophilus and its metabolite 6‐methyluracil, leading to disinhibition of the IDO1‐Kyn‐AHR axis. This results in sustained fibroblast activation and collagen deposition, driving radiation induced intestinal fibrosis. ABSTRACT Therapeutic options for radiation‐induced intestinal fibrosis (RIF) remain limited. This study
Jiaxin Zhang   +11 more
wiley   +1 more source

Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

open access: yesAdvanced Science, EarlyView.
Sclerostin loop2‐ApoER2 interaction in macrophages is required by sclerostin to suppress NF‐κB nuclear translocation and phosphorylation, to promote macrophage conversion into anti‐inflammatory subtypes in atherosclerotic aortas, as well as to prevent atherosclerosis and aortic aneurysm development in ApoE−/− mice. Abstract Therapeutic antibody against
Luyao Wang   +27 more
wiley   +1 more source

Redox‐Programmed Activation of a Dual‐Modal Probe for High‐Fidelity Tumor Delineation and Image‐Guided Surgery

open access: yesAdvanced Science, EarlyView.
This study presents a glutathione (GSH)‐activatable dual‐modality probe (GAP9) with a redox‐tuned activation window for precise tumor detection. It remains quenched (“OFF”) in normal tissue yet activates specifically in tumors for T1‐weighted magnetic resonance imaging (MRI) preoperative mapping and near‐infrared II (NIR‐II) fluorescence intraoperative
Haohao Yan   +4 more
wiley   +1 more source

CEUS: What is its role in abdominal aortic diseases? [PDF]

open access: yes, 2015
CANTISANI, VITO   +4 more
core   +1 more source

Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring

open access: yesAdvanced Science, EarlyView.
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley   +1 more source

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