Results 201 to 210 of about 512,062 (356)

Dietary n-3 and n-6 polyunsaturated fatty acids, the FADS gene, and the risk of gastric cancer in a Korean population [PDF]

open access: gold, 2018
Sunghee Lee   +6 more
openalex   +1 more source

Cancer‐Associated Fibroblasts Promote Tumor Immunosuppression in Hepatocellular Carcinoma via the NNMT‐ANGPTL4 Axis

open access: yesAdvanced Science, EarlyView.
ABSTRACT Background & Aims: Cancer‐associated fibroblasts (CAFs) drive immunosuppression in hepatocellular carcinoma (HCC). However, their metabolic regulation remains poorly defined. We investigated the role of nicotinamide N‐methyltransferase (NNMT) in CAFs. Approach & Results: High NNMT expression in CAF tissues was confirmed by western blotting and
Shounan Lu   +20 more
wiley   +1 more source

Bitter Taste Receptor TAS2R43 Co-Regulates Mechanisms of Gastric Acid Secretion and Zinc Homeostasis. [PDF]

open access: yesInt J Mol Sci
Orth HN   +12 more
europepmc   +1 more source

Goat milk increases gastric emptying and alters caecal short chain fatty acid profile compared with cow milk in healthy rats

open access: green, 2020
Julie E. Dalziel   +5 more
openalex   +2 more sources

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

open access: yesAdvanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun   +13 more
wiley   +1 more source

Effects of Gastric Acid Secretion Inhibitors for Ventilator-Associated Pneumonia. [PDF]

open access: yesFront Pharmacol, 2022
Li F   +8 more
europepmc   +1 more source

Effects of long-term acid suppressants with ranitidine and omeprazole on gastric mucosa [PDF]

open access: diamond, 2013
Alexander P C.   +7 more
openalex   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

Home - About - Disclaimer - Privacy