3726 papers
This study redefines the cortico-cerebellar axis as an active computational interface by identifying two distinct, superimposed neural networks—one broadly distributed for cognitive timing and one localized for kinematic execution—that govern human motor preparation, while also revealing that genetic risk for Parkinson's disease selectively impairs the cognitive readiness network during adolescence.
This study utilizes a comprehensive multi-omic approach to map microbial transmission and ecology in childcare centers, revealing distinct human-environmental community interactions, novel lateral gene transfer events, and phage-bacteria dynamics that inform strategies for tracking pathogens and developing targeted interventions.
This study reveals that aging fundamentally remodels injury-induced cellular senescence during muscle regeneration, shifting it from a uniform, pro-regenerative stromal program in young muscle to a distinct, heterogeneous response in aged muscle that alters the composition and function of senescent populations and ultimately impairs tissue repair.
This study utilizes a germline transcriptome-wide association study to reveal a significant convergence between NMN-responsive aging pathways and triple-negative breast cancer susceptibility, specifically identifying autophagy as a key shared mechanism and MAP2K2 as a promising translational target while clarifying that these findings do not yet demonstrate NMN's therapeutic efficacy.
This study employs a multi-omics approach combined with molecular docking and in vivo models to elucidate how berberine exerts synergistic anti-MRSA activity by simultaneously disrupting cell wall synthesis, depleting energy metabolism, and attenuating virulence through targeting ScrR2, ATL, and PBP4.
This bibliometric analysis of 144 documents from 2009 to 2025 reveals that artificial intelligence applications in mesenchymal stem cell therapy are rapidly growing yet remain overwhelmingly preclinical, focusing on characterization rather than manufacturing quality control or clinical translation, thereby highlighting a critical gap in potency-predictive models needed to advance the field toward the clinic.
This study utilized targeted lipidomics to demonstrate that Brefeldin A treatment significantly alters the lipid profile of HepG2 hepatocellular carcinoma cells, notably elevating levels of lysophosphatidylcholine and glycosylceramides, which may contribute to its anticancer activity.
This study demonstrates that quantitative EEG combined with explainable machine learning can identify robust, internally reproducible neural biomarkers of emotional adaptability in healthy adults, revealing that the capacity for flexible emotion regulation is underpinned by coordinated oscillatory dynamics and frontoparietal network integration.
This study demonstrates that a mixed microbial consortium exposed to petroleum and diesel exhibits a measurable, time-dependent extracellular enzymatic response involving specific oxidoreductases and hydrolases, confirming its potential for hydrocarbon bioremediation.
This study employs a multi-level computational framework to reveal that the extended R2 region of BIK, stabilized by a critical salt bridge with ARG439 on GRP78, serves as the primary binding determinant in a dual-anchor mechanism that inhibits apoptosis, suggesting ARG439 as a promising therapeutic target to restore cell death in breast cancer.