Results 221 to 230 of about 17,342 (262)

m6A‐Mediated Glycolysis by IL‐37 Drives T Cell Metabolic Reprogramming to Regulate Colitis

Advanced Science, EarlyView.
This study identifies an IL‐37/SIGIRR‐METTL14 regulatory axis that suppresses global m6A modification in CD4+ T cells. IL‐37 signaling, mediated through SIGIRR, inhibits IRAK4 and JNK phosphorylation, leading to downregulation of the methyltransferase METTL14.
Xiaoyan Wang, Jiadong Yu, Guolin Li, Ya Li, Fanlian Zeng, Jing Hu, Yifan Zhou, Chengcheng Yue, Qixiang Zhao, Chen Zhang, Hong Zhou, Fulei Zhao, Yawen Hu, Pei Zhou, Linna Gu, Yuting Feng, Mingxiang He, Shishi Huang, Xiaochi Sun, Xinmeng Wang, Jie Tang, Xinyu Zeng, Wenling Wu, Nongyu Huang, Xinai Cui, Kaijun Cui, Jiong Li   +26 more
wiley   +1 more source

Disruption of Treg Homeostasis in Rheumatoid Arthritis via Ferroptosis‐Mediated ETC Collapse and TXK‐STAT3/PLCγ1 Activation

Advanced Science, EarlyView.
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen, Xiao Guan, Kexu Xiong, Xiaoyi Shi, Luyao Wu, Chuanxin Su, Jun Zhao, Rongzhen Liang, Huimin Wang, Junlong Dang, Ye Chen, Yiding Xiong, Chi Zhou, Futao Zhao, Zhenhang Zhu, Xiaoli Fan, Li Zhou, Nancy Olsen, Yutong Jiang, Song Guo Zheng   +19 more
wiley   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

Advanced Science, EarlyView.
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, Xiaoyu Yao, Qingyang Wang, Mengrui Yang, Runze Li, Jiangjiang Qin, Jing Zhuang, Changgang Sun   +7 more
wiley   +1 more source

Network‐based Approaches in Pharmacology [PDF]

Molecular Informatics, 2017
AbstractIn drug discovery, network‐based approaches are expected to spotlight our understanding of drug action across multiple layers of information. On one hand, network pharmacology considers the drug response in the context of a cellular or phenotypic network.
Karine Audouze, Pierre Ducrot, Olivier Taboureau   +2 more
exaly   +3 more sources

Network pharmacology: curing causal mechanisms instead of treating symptoms [PDF]

Trends in Pharmacological Sciences, 2022
Para enfermedades complejas, la mayoría de los medicamentos son altamente ineficaces y la tasa de éxito del descubrimiento de fármacos está en constante declive. Si bien la baja calidad, los problemas de reproducibilidad y la irrelevancia traslacional de la mayoría de las investigaciones básicas y preclínicas han contribuido a esto, la actual ...
Cristian Nogales, Zeinab M Mamdouh, Markus List   +2 more
exaly   +4 more sources

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Information Loss in Network Pharmacology

Molecular Informatics, 2019
AbstractWith the advent of increasing computational power and large‐scale data acquisition, network analysis has become an attractive tool to study the organisation of complex systems and the interrelation of their constituent entities in various scientific domains.
Ingo, Vogt, Jordi, Mestres
openaire   +2 more sources

“Network Target” Theory and Network Pharmacology

2021
In the biomedical big data and artificial intelligence era, pioneering interdisciplinary information science research, life science, and medicine are represented by a complex biological network which has attracted increasing attention from researchers.
Shao Li, Qingyang Ding, Xin Wang
openaire   +1 more source

Network Pharmacology of Glioblastoma

Current Drug Discovery Technologies, 2013
With increasing knowledge of cellular networks of gene and molecular interactions, and their alterations in GBM (glioblastoma multiforme), it is now possible to apply methods of Network Pharmacology (NP) to predict candidate drug targets for this malignant brain tumor.
openaire   +2 more sources

Drug Repositioning Through Network Pharmacology

Current Topics in Medicinal Chemistry, 2016
Low drug productivity has been a significant problem of the pharmaceutical industry for several decades even though numerous novel technologies were introduced during this period. Currently pharmacologic dogma, "single drug, single target, single disease", is at the root of the lack of drug productivity.
Hao, Ye, Jia, Wei, Kailin, Tang, Ritchie, Feuers, Huixiao, Hong   +4 more
openaire   +2 more sources