Results 171 to 180 of about 169,391 (259)

Metabolic Signatures for Liver Cancer Diagnosis and Mechanistic Insights: A Large‐Scale, Multicenter Study

open access: yesAdvanced Science, EarlyView.
A large‐scale multicenter serum metabolomics study (13 centers, n = 2,149) identified a 9‐metabolite + AFP diagnostic signature for liver cancer (AUC = 0.93). Among the signature, nicotinamide (NAM) was validated as an oncometabolite: NAM enhances NAD+ synthesis, activating SIRT1 to deacetylate and stabilize HIF1α, thereby driving glycolysis, MAPK ...
Yongjie Xu   +13 more
wiley   +1 more source

Perovskite CsPbI3 Nanocrystal and Nanowire Incorporated G‐C3N4 Nanosheets for CO2 Reduction and NO Removal

open access: yesAdvanced Science, EarlyView.
CsPbI3 nanostructures integrated with g‐C3N4 formed S‐scheme heterojunctions enabling efficient photocatalytic CO2 reduction and NO abatement. The g‐C3N4/CsPbI3 nanowires achieved a CO production rate of 4.6 µmol g−1 h−1, while nanocrystal composites delivered 69.5% NO removal with only 5.0% NO2 selectivity, driven by highly energetic charge carriers ...
Xiao Zhang, San Ping Jiang
wiley   +1 more source

scH16S‐Seq Maps Klebsiella pneumoniae‐Associated Myeloid States and Reveals a CD38–NAD Immunometabolic Axis That Impairs Lysosomal Acidification in Sepsis

open access: yesAdvanced Science, EarlyView.
Single‐cell host–bacterial 16S co‐sequencing (scH16S‐seq) integrates cell‐associated bacterial 16S‐derived signals with host transcriptomes to resolve bacterial signal‐enriched myeloid states in Klebsiella pneumoniae sepsis. Complementary pharmacological and genetic analyses define a CD38–NAD immunometabolic axis connecting mitochondrial bioenergetic ...
Yangguang Li   +15 more
wiley   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

open access: yesAdvanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu   +9 more
wiley   +1 more source

Lactate‐H3K18la‐RPL11 Axis Drives Gemcitabine Resistance in Pancreatic Cancer by Integrating Protein Synthesis and DNA Damage Repair

open access: yesAdvanced Science, EarlyView.
A lactate‐H3K18la epigenetic axis upregulates RPL11 to drive gemcitabine resistance in pancreatic cancer. RPL11 orchestrates chemoresistance through a dual, compartmentalized role: enhancing cytoplasmic protein synthesis via EEF1A1 stabilization and promoting nuclear DNA damage repair by co‐activating PARP14, thus ensuring robust cell survival ...
Lijun Zhao   +10 more
wiley   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

open access: yesAdvanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo   +15 more
wiley   +1 more source

Microstructure Evolution in Dry‑Coated Sulfidic All‐Solid‐State Battery Cathodes: Investigating Core–Shell Particle Morphology

open access: yesAdvanced Science, EarlyView.
Mixing method directly governs interface engineering and electrode morphology during the dry coating of all‐solid‐state battery cathodes. While high‐shear batch mixing yields poor electrode quality and lacks core–shell‐like features, continuous extruder mixing enables strong binder fibrillation and a core–shell‐like coating between the active material ...
Michael Wolf   +7 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam   +3 more
wiley   +1 more source

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