Results 211 to 220 of about 2,880,433 (308)

Intersection Between Local Anesthetics and Cancer Biology: What Now? Where Are We Going?

open access: yesAdvanced Biology, EarlyView.
Local anesthetics (LAs), widely used in anesthesia, may also play a role in cancer treatment by inhibiting tumor growth, reducing metastasis, and enhancing immune responses. They modulate key pathways like AKT/mTOR and RAS/ERK while affecting angiogenesis and tumor innervation and the immune response.
Eduardo Nunez‐Rodriguez   +3 more
wiley   +1 more source

Adipose Mesenchymal Stem Cell‐Derived Exosomes in Conjunction with Roflumilast Ameliorate Chronic Kidney Disease Through the Modulation of Fibrosis and Inflammation

open access: yesAdvanced Biology, EarlyView.
The novelty of this study showed that the injection of exosomes produced from ADMSCs in combination with Roflumilast poses a more favorable therapeutic outcome for CKD induced by Adriamycin, compared to therapy with exosomes or Roflumilast alone. Roflumilast and exosomes treatment lowered the expression of the apoptotic, fibrotic, and inflammatory ...
Mohamed Ali   +5 more
wiley   +1 more source

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

open access: yesAdvanced Biology, EarlyView.
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams   +7 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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