Results 241 to 250 of about 512,062 (356)

A Synergistic Hydrogel‐Microalgae Platform for Dual‐Targeting of Intestinal and Neuroimmune Dysfunction in Inflammatory Bowel Disease

open access: yesAdvanced Science, EarlyView.
A bioactive hydrogel incorporating Chlorella vulgaris and paeoniflorin within a carboxymethyl chitosan/sodium alginate matrix cross‐linked with genipin is developed for inflammatory bowel disease therapy. The hydrogel exhibits gastric stability and intestine‐responsive release.
Jing Lu   +8 more
wiley   +1 more source

Divergent Roles of mGlu2 and mGlu3 Receptors in Amyloid‐β Production and Cognitive Dysfunctions in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon   +21 more
wiley   +1 more source

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

open access: yesAdvanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong   +21 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

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