Results 301 to 310 of about 10,687,454 (378)
Streptococcus anginosus extracellular vesicles (SA‐EVs) accumulate in gastric tissue, disrupt epithelial tight junctions, and induce gastritis characterized by neutrophil infiltration and elevated cytokines (TNF‐α, IL‐6, IL‐17A). Proteomics identifies TMPC and FBP62 as key SA‐EVs virulence factors; their genetic deletion attenuates inflammation ...
Ying Gong +12 more
wiley +1 more source
Application of aggregation-induced emission materials in gastrointestinal diseases. [PDF]
Li YR, Wang G, He WT, Liu T.
europepmc +1 more source
The development of a novel engineered strain of Lactiplantibacillus plantarum (Lp) is reported that can produce bacterial extracellular vesicles (BEVs) at >60‐fold higher yields than the unmodified parental strain. These Lp BEVs retain therapeutic bioactivity as validated in a mouse model of dextran sodium sulfate‐induced colitis.
Nicholas H Pirolli +16 more
wiley +1 more source
Trends in Endoscopist Reporting Rates of Eosinophilic Gastrointestinal Diseases in Japan Evaluated by the Japan Endoscopy Database Project. [PDF]
Miyaguchi K +4 more
europepmc +1 more source
TriCON: A Carbon‐Based Triple‐Modal Nanoplatform for Pancreatic Cancer Therapy
We developed TriCON, a triple‐modality nanotherapeutic platform, to treat pancreatic ductal adenocarcinoma (PDAC) by synergizing gene editing, chemotherapy, and immunotherapy. TriCON utilizes CRISPR/Cas9 to target the poliovirus receptor (PVR), combined with nano‐encapsulated doxorubicin and checkpoint blockade. This approach achieved significant tumor
Xinyu Peng +9 more
wiley +1 more source
Emerging novel hydrogels application in oral and gastrointestinal diseases: design wet adhesive strategy towards possible mechanisms. [PDF]
Xiao R, Huang K, Chen Y, Jiang W, Xu L.
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Editorial: Biomarkers and mechanisms of gastrointestinal diseases. [PDF]
Isik Z, Calibasi-Kocal G, Yilmaz O.
europepmc +1 more source
T cell‐specific Socs1 knockout leads to inflammatory differentiation of CD8+ T cells, prompting the STAT1/2 complex to drive the activation of Ccl5, Ccr5, and Cxcr3, and promoting the skewing of monocytes toward a pro‐inflammatory M1 macrophage lineage.
Zhigui Wu +14 more
wiley +1 more source
Editorial: The role of gut microbiota in animal gastrointestinal diseases. [PDF]
Li A, Kiani FA, Liao J, Liu F, Chang YF.
europepmc +1 more source

