Correction to: Risk and protective factors for anastomotic insufficiency in elective colon and rectal cancer resections - a multivariate analysis with over 700 patients. [PDF]
Lange UG +9 more
europepmc +1 more source
NMI Regulates Adipose Adaptive Thermogenesis Through TLR4/IRF3 Signaling to Promote Obesity
Adipose tissue‐derived NMI is secreted under metabolic stress and suppresses adaptive thermogenesis through TLR4/IRF3 signaling, repressing the PPARα/PGC‐1α/UCP1 thermogenic transcriptional program. Genetic ablation or anti ‐ NMI monoclonal antibody treatment enhances energy expenditure, protects against DIO, and ameliorates adipose tissue inflammation,
Ting‐Ting Li +7 more
wiley +1 more source
Australian Podiatry Research in Gerontology: A Bibliometric Analysis. [PDF]
Menz HB +4 more
europepmc +1 more source
A biomimetic artificial extracellular matrix is assembled directly on Pseudomonas fluorescens by co‐assembling amyloid‐like lysozyme and alginate at the cell surface. This conformal nanocoating acts as both a hydration buffer and a physiological priming layer, markedly enhancing desiccation tolerance, seed adhesion, storage stability, and biocontrol ...
Yuanyuan Wang +5 more
wiley +1 more source
Correction: Development and Characteristics of Sexting from Age 14 to 18 Years in a Norwegian Birth Cohort. [PDF]
Steinsbekk S +3 more
europepmc +1 more source
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai +12 more
wiley +1 more source
A Case Study of University Archives: Illinois State University Archives as a Model Archive
openaire +2 more sources
Iranian Researchers' Contribution to Emergency Medicine During 1972-2024; A Bibliometric and Scientific Visualization Study. [PDF]
Salimi R +5 more
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source

