Results 271 to 280 of about 222,667 (349)

Pharmacokinetic Parameter Original Result Unit [PDF]

, 2020
openaire   +1 more source

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

Advanced 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, Xu Yang, Wenchao Jiang, Chengbo Ji, Yingying Wu, Haoyu Sun, Xinyou Liu, Masami Yamamoto, Tetsuya Tsukamoto, Sachiyo Nomura, Junjie Zhao, Yuanyuan Ruan, Haojie Li, Xuefei Wang   +13 more
wiley   +1 more source

Neutrophil‐Mimetic Nanoscavengers Target the Inflammatory Microenvironment to Eliminate NETs/ROS and Immunomodulate cGAS‐STING Signaling in Septic AKI

Advanced Science, EarlyView.
Sepsis‐associated acute kidney injury is driven by oxidative stress, NETs overproduction, and dysregulated innate immunity. Here, we develop neutrophil‐mimetic nanoscavengers that integrate ROS‐scavenging Mn3O4 nanozymes with DNase‐1‐mediated NETs degradation to suppress cGAS‐STING signaling, reprogram macrophage polarization, and effectively alleviate
Zening Zhang, Chenxi Zhang, Ranran Luo, Qiuchi Wu, Pengchen Ren, Xinyu Liu, Yingying Luo, Zhongsheng Xu, Xiaojing He, Yun Liu   +9 more
wiley   +1 more source

Evaluation of Predictability for Vancomycin Dosage Regimens by the Bayesian Method with Japanese Population Pharmacokinetic Parameters.

, 2002
Hitomi Teramachi, Hiromi Hatakeyama, Ryo Matsushita, Yukio Imai, Ken‐ichi Miyamoto, Akira Tsuji   +5 more
openalex   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced 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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Nanoparticle‐Mediated Immunometabolic‐Epigenetic Remodeling Enhances Schwann Cell‐Macrophage Interaction for Sciatic Nerve Regeneration

Advanced Science, EarlyView.
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu, Rongrong Wu, Zhicheng Liu, Hongyu Yan, Huan Zhang, Yuanyi Zheng, Xiaojun Cai   +6 more
wiley   +1 more source

A randomized, two-armed, double-blind, single-dose, cross-over, bioequivalence clinical trial to compare pharmacokinetic parameters and safety of recombinant human factor VIII with Fc fusion produced by AryoGen Pharmed Company versus Elocta^® (reference product) in previously treated patients with severe haemophilia A. [PDF]

Ann Hematol
Eghbali A, Eshghi P, Toogeh G, Alavi S, Badiei Z, Ghanavat M, Bordbar M, Bazrafshan A, Karimi K, Ahmadinejad M, Sabzvari A, Kafi H.   +11 more
europepmc   +1 more source

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Advanced Science, EarlyView.
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra, Ibrahim M. Sayed, Souhrid Mukherjee, Honit Piplani, Aida Habtezion, Michael J. Rosen, Jospeh C. Wu   +6 more
wiley   +1 more source

Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters

, 2019
Esther Oyaga-Iriarte, Asier Insausti, Onintza Sayar, Azucena Aldaz   +3 more
openalex   +1 more source