Safety evaluation of the food enzyme serine endopeptidase from the genetically modified <i>Aspergillus niger</i> strain NZYM-MG. [PDF]
EFSA Panel on Food Enzymes (FEZ) +14 more
europepmc +1 more source
This study elucidates that β‐elemene promotes cellular uptake of L. gasseri‐derived lactate by enhancing the membrane translocation of MCT1 in a CD147‐dependent manner. Intracellular lactate, through the lactylation of RBBP4 at the K26 site, recruits EP300 to the promoter regions of downstream genes (POLD1/POLD3), catalyzing H3K27ac modification.
Jiancheng He +10 more
wiley +1 more source
From lab to law: emerging applications, potential benefits, evolving regulatory framework and challenges for engineered probiotics. [PDF]
Di Pierro F +5 more
europepmc +1 more source
The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci +13 more
wiley +1 more source
Safety evaluation of the food enzyme aspergillopepsin I from the genetically modified <i>Trichoderma reesei</i> strain DP-Nzq40. [PDF]
EFSA Panel on Food Enzymes (FEZ) +16 more
europepmc +1 more source
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source
This paper presents an analytical framework for studying the impact of mandatory labelling regulation for transgenic food. We compare Genetically Modified (GM) and conventional crop markets and identify gains for food processors prior to mandatory ...
Diez, Maria Del Carmen Fernandez
core
Updated safety evaluation of the food enzyme catalase from the non-genetically modified <i>Aspergillus tubingensis</i> strain AE-CN. [PDF]
EFSA Panel on Food Enzymes (FEZ) +17 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Trust and doubt coexist: an empirical study on the acceptance mechanism of transgenic technology among Chinese youth. [PDF]
Qu C, Pang Y, Wu Z.
europepmc +1 more source

