Results 171 to 180 of about 164,783 (254)
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
REBISTART: Adherence of Patients with Multiple Sclerosis to Treatment with Subcutaneous Interferon Beta in the Context of a Patient Support Program. [PDF]
Schwab M +7 more
europepmc +1 more source
We developed an implantable dual‐drug depot using GelMA for bone metastasis treatment, co‐delivering MSA‐2 and αB7‐H3‐loaded CaCO3 microparticles. Sustained release from GelMA scaffold enables MSA‐2 to activate STING signaling and enhance T‐cell infiltration and activation, while sequentially released αB7‐H3 blocks MSA‐2‐induced B7‐H3 upregulation ...
Qijun Lin +10 more
wiley +1 more source
Twenty Years of Subcutaneous Interferon-Beta-1a for Multiple Sclerosis: Contemporary Perspectives. [PDF]
Freedman MS +10 more
europepmc +1 more source
SJNPs co‐deliver JHU083 and spermine to reprogram macrophage–neuron immunometabolic crosstalk in sepsis. By suppressing pro‐inflammatory M1 polarization and promoting NGF‐mediated neurotrophic signaling, SJNPs preserve pulmonary neuronal integrity, alleviate lung injury, and improve survival in murine sepsis models.
Wenhui Wang +11 more
wiley +1 more source
Cytosolic nucleic acid sensors and interferon beta-1 activation drive radiation-induced anti-tumour immune effects in human pancreatic cancer cells. [PDF]
Kerschbaum-Gruber S +19 more
europepmc +1 more source
Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang +9 more
wiley +1 more source
A zinc/manganese (Zn/Mn)‐based metal‐organic framework (MOF) loaded with the STING agonist c‐di‐AMP diammonium (denoted AMP@Zn/Mn‐MOF) was developed to synergistically activate the cGAS‐STING pathway and induce immunogenic cell death. This nanoplatform reprograms the immunosuppressive tumor microenvironment, significantly enhancing anti‐PD‐L1 ...
Bingzi Zhu +15 more
wiley +1 more source
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang +16 more
wiley +1 more source
“More” Artificial mRNAs: Beyond the Art of Nature
Inspired by nature yet transcending it, synthetic mRNA is being redesigned beyond the canonical architecture. This review highlights emerging forms—circular, branched, and self‐amplifying mRNAs—that expand stability, persistence, and functional control, illustrating how artificial mRNA is evolving into a new medium for programmable biological ...
Yuanzhe Cui +3 more
wiley +1 more source

