Browsing by Author "Li, Shuai"

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    Critical Role of AKT in Myeloma-induced Osteoclast Formation and Osteolysis
    (2013-10) Cao, Huiling; Zhu, Ke; Qiu, Lugui; Li, Shuai; Niu, Hanjie; Yang, Shengyong; Zhao, Zhongfang; Lai, Yumei; Anderson, Judith L.; Fan, Jie; Im, Hee-Jeong; Chen, Di; Roodman, G. David; Xiao, Guozhi; Hao, Mu; Department of Hematology and Oncology, IU School of Medicine
    Abnormal osteoclast formation and osteolysis are the hallmarks of multiple myeloma (MM) bone disease, yet the underlying molecular mechanisms are incompletely understood. Here, we show that the AKT pathway was up-regulated in primary bone marrow monocytes (BMM) from patients with MM, which resulted in sustained high expression of the receptor activator of NF-κB (RANK) in osteoclast precursors. The up-regulation of RANK expression and osteoclast formation in the MM BMM cultures was blocked by AKT inhibition. Conditioned media from MM cell cultures activated AKT and increased RANK expression and osteoclast formation in BMM cultures. Inhibiting AKT in cultured MM cells decreased their growth and ability to promote osteoclast formation. Of clinical significance, systemic administration of the AKT inhibitor LY294002 blocked the formation of tumor tissues in the bone marrow cavity and essentially abolished the MM-induced osteoclast formation and osteolysis in SCID mice. The level of activating transcription factor 4 (ATF4) protein was up-regulated in the BMM cultures from multiple myeloma patients. Adenoviral overexpression of ATF4 activated RANK expression in osteoclast precursors. These results demonstrate a new role of AKT in the MM promotion of osteoclast formation and bone osteolysis through, at least in part, the ATF4-dependent up-regulation of RANK expression in osteoclast precursors.
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    Precision Treatment of Advanced Lung Adenocarcinoma With Coexisting EGFR, ALK, and ROS1 Mutations: A Case Report
    (Elsevier, 2021) Zhang, Yaping; Wang, Hui; Wang, Xiaoyan; Li, Shuai; Fang, Hongming; Medicine, School of Medicine
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    RADIATIVE TRANSFER MODELING FOR QUANTIFYING LUNAR SURFACE MINERALS, PARTICLE SIZE AND SUBMICROSCOPIC IRON (SMFe)
    (2012-03-16) Li, Shuai; Li, Lin; Licht, Kathy J.; Swope, R. Jeffery
    The main objective of this work is to better quantify lunar surface minerals (agglutinate, clinopyroxene, orthopyroxene, plagioclase, olivine, ilmenite, and volcanic glass), particle sizes and the abundance of SMFe from the lunar soil characterization consortium (LSCC) dataset with our improved model based on Hapke's radiative transfer theory. The model is implemented for both forward and inverse modeling. Hapke's radiative transfer theory is implemented in the inverse model means Newton's method and least squares are jointly used to solve nonlinear questions rather than commonly used look-up Table (LUT). Although the effects of temperature and surface topography are incorporated into the implementation to improve the model performance for application of lunar spacecraft data, these effects cannot be extensively addressed in the current work because of the use of lab measured reflectance data. Our forward radiative transfer model (RTM) results show that the correlation coefficients between modeled and measured spectra are over 0.99. For the inverse model, the distribution of the calculated particle sizes is all within their measured range. The range of modeled SMFe for highland samples is 0.01% - 0.5 % and for mare samples is 0.03% - 1 %. The linear trend between SMFe and ferromagnetic resonance (Is) for all the LSCC samples is consistent with laboratory measurements. For quantifying lunar mineral abundances, the results show that the R-squared for the training samples (Is/FeO <= 65) are over 0.65 with plagioclase having highest correlation (0.94) and pyroxene the lowest (0.68). In the future work, the model needs to be improved for handling more mature lunar soil samples.