Results 141 to 150 of about 37,235 (219)

Esketamine/Ketamine: Dual‐Action Mechanisms and Clinical Prospects beyond Anesthesia in Psychiatry, Immunology, and Oncology

Advanced Science, EarlyView.
Esketamine and ketamine are widely used for perioperative analgesia and anesthesia. Despite their established roles in analgesia, sedation, and anesthesia, as well as emerging antidepressant, anti‐tumor, and anti‐inflammatory effects, their clinical use is limited due to side effects and addiction potential.
Yinxin Wang, Jiangang Xu, Xinyu Zhou, Lu Che, Minghan Qiu, Yang Liu, Ming Gao, Zhen Yang   +7 more
wiley   +1 more source

Boron Nitride Nanomaterials Trigger Immunomodulatory Effects in Human Broncho‐Epithelial Cells by Modulating Eicosanoid Lipid Signaling

Advanced Science, EarlyView.
This study demonstrates that BNNT exposure disrupts lipid homeostasis in bronchial epithelial cell cultures and activates eicosanoid lipid biosynthesis, producing inflammatory lipid mediators like leukotrienes. These effects are more pronounced in asthmatic cell cultures compared to healthy ones.
Govind Gupta, Jonas Bossart, Sènan Mickael D'Almeida, Luis Augusto Visani de Luna, Christoph Schwärzler, Tingting Fu, Vanesa Ayala‐Nunez, Alexander Gogos, Marija Buljan, Vera M Kissling, Emmanuel Flahaut, Miguel Garcia, Cyrill Bussy, Peter Wick, Tina Buerki‐Thurnherr   +14 more
wiley   +1 more source

Repurposing of Chemokine Antagonists for Combined Phase‐Resolved Spinal Cord Injury Treatment

Advanced Science, EarlyView.
Spinal cord injury (SCI) in mammals is accompanied by a massive cytokine storm in cerebrospinal fluid, mainly driven by CXCL1, IL‐6, and CCL2‐5. Sub‐acute phase is mostly associated with IL‐2, IL‐7, CCL22, and CX3CL1, whereas TNFα and IL17α permanently persists in CNS even weeks following SCI.
Alexey A. Belogurov Jr., Georgii B. Telegin, Aleksandr S. Chernov, Anna A. Kudriaeva, Alexey N. Minakov, Maksim V. Rodionov, Vitaly A. Kazakov, Viktor A. Palikov, Yuri M. Poluektov, Rustam H. Ziganshin, Daria A. Orlova, Alena S. Evpak, Daniil A. Barsuk, Fedor A. Mesheryakov, Aldo Spallone, Dmitry S. Asyutin, Igor N. Pronin, Nikolay A. Konovalov, Dmitri Yu Usachev, Alexander G. Gabibov, Alexander N. Konovalov   +20 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Aptamer Engineering: Strategies for Discovering Functional Nucleic Acids for Next‐Generation Diagnostics and Biosensing

Advanced Science, EarlyView.
The advent of aptamers has highlighted their potential as alternatives to antibodies, overcoming limitations of structural instability and production cost. However, conventional approaches such as SELEX remain slow and labor‐intensive. This review examines recent advances in aptamer engineering, emphasizing in vitro and AI‐driven in silico strategies ...
John V. L. Nguyen, Ahlem Meziadi, Cyrill Brunner, Maureen McKeague, Lidija Malic, Maryam Tabrizian   +5 more
wiley   +1 more source

Core Fucosylation Represses SMURF1‐Dependent Degradation of CD47 to Promote Tumor Immune Evasion

Advanced Science, EarlyView.
FUT8‐mediated core fucosylation of CD47 at N111 blocks SMURF1 binding and reduces CD47 ubiquitination and degradation. Blocking N111 glycosylation reduces CD47 expression and promotes macrophage phagocytosis of tumor cells. Furthermore, ablating CD47 core fucosylation boosts CD103+ dendritic cells (DCs) infiltration, increases natural killer (NK) cell ...
Yuting Cao, Siyuan Chai, Mingyang Li, Xiaoming Chen, Jiating Hu, Bingyi Lin, Liming Wu, Wen Yi, Qiang Zhu   +8 more
wiley   +1 more source

Development of Dimethylsulfonium Probes for Broad Profiling of Methyllysine Reader Proteins

Advanced Science, EarlyView.
Development of oligoglycine‐based dimethylsulfonium probes for unbiased crosslinking to methyllysine readers. The general probe facilitates profiling of site‐specific methyllysine readers, evaluation of selectivity and activity of reader inhibitors, and global profiling of methyllysine readers.
Jinyu Yang, Yihang Xiao, Yingxiao Gao, Mingxuan Wu   +3 more
wiley   +1 more source

Clinical Significance of Copper Chaperone for Superoxide Dismutase in Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Targeting Cu transport proteins is an innovative therapeutic approach for combating cancer. However, the mechanisms underlying the malignant potential of Cu transport proteins remain largely unknown. To address this issue, we focused on the oncogenic potential of copper chaperones for superoxide dismutase (CCS) in colorectal cancer (
Nobuo Takiguchi, Mamoru Uemura, Mao Osaki, Chikako Kusunoki, Masakatsu Paku, Mitsunobu Takeda, Yuki Sekido, Tsuyoshi Hata, Atsushi Hamabe, Takayuki Ogino, Norikatsu Miyoshi, Mitsuyoshi Tei, Yoshinori Kagawa, Hirofumi Yamamoto, Yuichiro Doki, Hidetoshi Eguchi   +15 more
wiley   +1 more source

Screen ammonium‐based deep eutectic solvents for CO2 capture: Extended UNIFAC‐DES, calibrated COSMO‐RS, and experiment

AIChE Journal, EarlyView.
Abstract CO2 solubility in deep eutectic solvent (DES) is a critical property to indicate the competence of using DESs for carbon capture. This work presents a systematic screening framework with computational and experimental procedures to identify the promising ammonium‐based DESs for CO2 absorption.
Hao Qin, Xiang Zhang, Jiawei Ruan, Kai Sundmacher   +3 more
wiley   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source