Y
Yong Yang
Researcher at University of Pittsburgh
Publications - 4
Citations - 287
Yong Yang is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Pyroptosis & Inflammation. The author has an hindex of 2, co-authored 2 publications receiving 194 citations. Previous affiliations of Yong Yang include Tongji University.
Papers
More filters
Journal ArticleDOI
Programmed cell death and its role in inflammation
TL;DR: An overview of the major types of cell death related to inflammation is provided and modified cell death pathways are likely to be a logical therapeutic target for inflammatory diseases.
Journal ArticleDOI
Hemorrhagic shock primes for lung vascular endothelial cell pyroptosis: role in pulmonary inflammation following LPS
Jie Yang,Jie Yang,Yanfeng Zhao,Peng Zhang,Yuehua Li,Yuehua Li,Yong Yang,Yong Yang,Yang Yang,Junjie Zhu,Xiao Song,Gening Jiang,Jie Fan +12 more
TL;DR: A novel mechanism underlying HS-primed ALI is explored and thus presents a potential therapeutic target for post-HS ALI, which significantly exaggerates lung inflammation and injury.
Journal ArticleDOI
Combined Consideration of Tumor-Associated Immune Cell Density and Immune Checkpoint Expression in the Peritumoral Microenvironment for Prognostic Stratification of Non-Small-Cell Lung Cancer Patients
TL;DR: The results indicate that the immune context is heterogeneous because of the complex interactions of different components and that using multiple factors in combination might be promising for predicting the prognosis of and stratifying NSCLC patients.
Journal ArticleDOI
Molecular fingerprints of nuclear genome and mitochondrial genome for early diagnosis of lung adenocarcinoma
Yingchun Xu,Yong Yang,Yichao Wang,Jiajing Zhou,Ke Wang,Yifeng Gu,Congmeng Zhang,Guanjin Wu,Ling-ling Bi,Xi Qin,Junsong Han +10 more
TL;DR: In this paper , a spectrum of nuclear and mitochondrial genome mutations in early-stage lung adenocarcinoma was identified and explored their association with diagnosis, and the mutation number of highly mutated genes was evaluated and the least absolute shrinkage and selection operator (LASSO) established a diagnostic model.