Results 141 to 150 of about 271 (211)

A Novel Pak1 Activator Ameliorates ER Stress for HFpEF Therapy

Advanced Science, EarlyView.
Chronic metabolic stress is a major contributor to HFpEF progression. Under prolonged metabolic stress, Pak1 activity becomes impaired, contributing to disrupted ER proteostasis, cardiomyocyte apoptosis, fibrosis, and diastolic dysfunction. Mechanistically, Pak1 overexpression activates the ERK1/2–MNK1–eIF4E signaling axis, promotes translational ...
Honglin Xu, Hongyuan Zhang, Tayyiba Azam, Susanne S. Hille, Yingjuan Liu, Min Zi, Jiaqing Lang, He Yu, Yujia Cao, Bernard D. Keavney, Tamer M. A. Mohamed, Jessica M. Miller, Riham R. E. Abouleisa, Ming Xu, Elizabeth J. Cartwright, Oliver J. Müller, Ming Lei, Xin Wang   +17 more
wiley   +1 more source

A pH‐Switchable Cerium Single‐Atom Enzyme for Peri‐Implantitis Therapy via JAK‐STAT Signaling Axis‐Mediated Macrophage Reprogramming

Advanced Science, EarlyView.
A pH‐switchable cerium single‐atom enzyme is developed for stage‐specific peri‐implantitis therapy. Acidic conditions trigger antibacterial peroxidase‐like activity, whereas neutral conditions activate an antioxidant superoxide dismutase ‐ and catalase ‐like enzymatic relay. This microenvironment‐adaptive catalytic strategy suppresses the IL‐6/JAK‐STAT
Xiaomin Xia, Haojie Wu, Xingyun Li, Lining Liu, Kaiqing Song, Jinpei Cui, Jie Liu, Jiaxuan Yin, Emtiaz Ahmed, Yusuke Yamauchi, Xue Li   +10 more
wiley   +1 more source

Bio‐Based Polyurethanes for Sustainable and Multifunctional Applications

Advanced Science, EarlyView.
Bio‐based polyurethanes prepared from vegetable oils, lignin, and polysaccharides have attracted increasing interest as alternatives to fossil‐derived polyurethanes. This review summarizes recent progress in their chemistry, structural engineering, and advanced applications, highlighting the roles of feedstocks, chain‐segment design, dynamic covalent ...
Xin Li, Henghui Deng, Shiwei Yu, Jiawei Huang, Zehong Chen, Dawei Zhao, Chaoqun Zhang   +6 more
wiley   +1 more source

Engineering Antibodies into Targeted Chimeras: From Recognition Modules to Programmable Degraders

Advanced Science, EarlyView.
Antibody can be engineered into diverse lysosome‐targeting chimeras that convert target recognition into active degradation. By coupling antibody binding with recruited receptors, encoded domains, conjugated ligands, or nanoparticle scaffolds, these antibody‐associated targeted chimeras (AbTACs) platforms direct extracellular and membrane proteins ...
Kaige Chen, Quanyin Hu
wiley   +1 more source

Programmed Interfacial Phase Separation for Spatiotemporal Fungicide Delivery via Tunable Micro/Nano Architectures

Advanced Science, EarlyView.
ABSTRACT Translating dynamic liquid‐liquid phase separation into robust solid‐state architectures remains a challenge in materials engineering. Here, we report a composition‐driven interfacial assembly strategy that couples supramolecular coacervation with metal‐phenolic coordination to engineer tunable fungicide carriers.
Rui Zhang, Tongfang Jing, Leiming He, Kaidi Cui, Yuying Song, Xuewei Mao, Lidong Cao, Lin Zhou   +7 more
wiley   +1 more source

Canonical Antibodies Adopt Distinct Binding Modes to Recognize Viral Glycan Shields

Advanced Science, EarlyView.
Canonical Y‐shaped antibodies recognize viral glycan shields through adaptive Fab assembly states shaped by glycan organization and somatic hypermutation. Structural analyses ofbroadly neutralizing antibodies VRC35 and VRC36 across glycoproteins of HIV‐1, influenza, SARS‐CoV‐2, and Lassa viruses reveal distinct Fab assembly states, spanning monovalent,
Jiaxuan Cheng, Evan M. Cale, Amirabbas Maghsoudi, Matthew S. Sutton, Nancy S. Longo, Rebecca A. Gillespie, Lingshu Wang, Ivan Kosik, Sue Chong, Atsuhiro Yasuhara, Tatsiana Bylund, Arne Schön, Prabhanshu Tripathi, Yaroslav Tsybovsky, Haotian Lei, Nicholas C. Morano, Allison B. Lupatkin, Abraham J. Morton, Zabrina C. Lang, Jordan E. Becker, Isabella R. Frascilla, Myungjin Lee, Ning Li, Cuiping Liu, Ryan S. Roark, Chen‐Hsiang Shen, I‐Ting Teng, David J. Van Wazer, Danyi Wang, Lingyuan Wu, Goran Ahlsen, Mike Castro, Haijuan Du, Michael J. Ernandes, Tiansheng Li, Bob C. Lin, Mark K. Louder, Krisha McKee, Jonah S. Merriam, Sijy O'Dell, Li Ou, Sergei Pletnev, David Prikryl, Qi Qiu, Sarah Rubin, Mallika Sastry, Stephen D. Schmidt, Asif Shajahan, Andrea R. Shiakolas, Sanjay Srivatsan, Baoshan Zhang, Qiong Zhou, Mark Connors, Jason G. Gall, Yicheng Guo, Rick K. Huang, Yaoxing Huang, Richard A. Koup, Q. Paula Lei, John R. Mascola, Reda Rawi, Leonid Serebryannyy, Lawrence Shapiro, Zizhang Sheng, David D. Ho, Patrick C. Wilson, Jonathan W. Yewdell, Theodore C. Pierson, Masaru Kanekiyo, Nicole A. Doria‐Rose, Peter D. Kwong, Tongqing Zhou   +71 more
wiley   +1 more source

Conformation of carbohydrates by use of N.M.R. spectroscopy

, 1966
openaire   +2 more sources

Advancing Fruit Bioimpedance Monitoring With Sustainable, Soft, And Bio‐Based Electrodes Beyond ECG

Advanced Electronic Materials, EarlyView.
Electrical impedance spectroscopy enables non‐destructive fruit quality monitoring, but conventional ECG and needle electrodes compromise signal stability, fruit physiology, and sustainability. This perspective highlights the transition toward soft, biocompatible, and biodegradable electrode interfaces based on natural substrates, bio‐derived ...
Sundus Riaz, Ahmed Rasheed, Angelo Zanella, Almudena Rivadeneyra, Paolo Lugli, Luisa Petti, Pietro Ibba   +6 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source