Results 141 to 150 of about 215,058 (261)

Single‐Cell Profiling Identifies SLC2A5‐Mediated Fructose Metabolism as a Vulnerability in Primary CNS Lymphoma

open access: yesAdvanced Science, EarlyView.
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu   +13 more
wiley   +1 more source

A Pancreatitis‐Inspired Trypsinogen Nanoplatform Reprograms Tumor‐Associated Macrophages via NF‐κB for Pancreatic Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Trypsinogen‐loaded nanoparticles reprogram TAMs via NF‐κB/NLRP3, driving M2→M1 conversion and potent phagocytosis to unleash antitumor immunity. ABSTRACT Although reprogramming tumor‐associated macrophages (TAMs) represents a promising therapeutic strategy, approaches that are both precise and safe remain scarce.
Lei Cao   +7 more
wiley   +1 more source

<i>Pseudomonas aeruginosa lasR</i> mutants resist phagocytosis and alter inflammatory cytokine production by cystic fibrosis macrophages. [PDF]

open access: yesmSphere
Aridgides DS   +9 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

The IL‐10/IL‐6 Ratio and the Risk Score: Two Cytokines‐Based Predictors for Malignancy‐Associated Hemophagocytic Lymphohistiocytosis in Adults (M‐HLHa)

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT The predictive value of cytokines (CK) for malignancy‐associated adult hemophagocytic lymphohistiocytosis (M‐HLHa) remains uncertain. We evaluated a cytokine‐based Risk Score (RS) and the IL‐10/IL‐6 Ratio to predict M‐HLHa. Adult patients (n = 112) from the French HLH cohort (NCT02113917) with complete data for nine key HLH related CK measured
Coralie Bloch   +47 more
wiley   +1 more source

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