Search

Your search keyword '"Huang, Pintong"' showing total 546 results
Start Over Author "Huang, Pintong"
546 results on '"Huang, Pintong"'

4. Targeting pro-inflammatory T cells as a novel therapeutic approach to potentially resolve atherosclerosis in humans

Author

Fan, Lin, Liu, Junwei, Hu, Wei, Chen, Zexin, Lan, Jie, Zhang, Tongtong, Zhang, Yang, Wu, Xianpeng, Zhong, Zhiwei, Zhang, Danyang, Zhang, Jinlong, Qin, Rui, Chen, Hui, Zong, Yunfeng, Zhang, Jianmin, Chen, Bing, Jiang, Jun, Cheng, Jifang, Zhou, Jingyi, Gao, Zhiwei, Liu, Zhenjie, Chai, Ying, Fan, Junqiang, Wu, Pin, Chen, Yinxuan, Zhu, Yuefeng, Wang, Kai, Yuan, Ying, Huang, Pintong, Zhang, Ying, Feng, Huiqin, Song, Kaichen, Zeng, Xun, Zhu, Wei, Hu, Xinyang, Yin, Weiwei, Chen, Wei, and Wang, Jian’an

Published
2024
Full Text
View/download PDF

6. Author Correction: Targeting pro-inflammatory T cells as a novel therapeutic approach to potentially resolve atherosclerosis in humans

Author

Fan, Lin, Liu, Junwei, Hu, Wei, Chen, Zexin, Lan, Jie, Zhang, Tongtong, Zhang, Yang, Wu, Xianpeng, Zhong, Zhiwei, Zhang, Danyang, Zhang, Jinlong, Qin, Rui, Chen, Hui, Zong, Yunfeng, Zhang, Jianmin, Chen, Bing, Jiang, Jun, Cheng, Jifang, Zhou, Jingyi, Gao, Zhiwei, Liu, Zhenjie, Chai, Ying, Fan, Junqiang, Wu, Pin, Chen, Yinxuan, Zhu, Yuefeng, Wang, Kai, Yuan, Ying, Huang, Pintong, Zhang, Ying, Feng, Huiqin, Song, Kaichen, Zeng, Xun, Zhu, Wei, Hu, Xinyang, Yin, Weiwei, Chen, Wei, and Wang, Jian’an

Published
2024
Full Text
View/download PDF

17. Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints.

Author

Liu, Yajing, Wang, Ruimin, Zhang, Chao, Huang, Lin, Chen, Jifan, Zeng, Yiqing, Chen, Hongjian, Wang, Guowei, Qian, Kun, and Huang, Pintong

Subjects
METABOLOMIC fingerprinting, MACHINE learning, METABOLIC models, COMMUNICABLE diseases, MASS spectrometry
Abstract

Tuberculosis (TB) stands as the second most fatal infectious disease after COVID‐19, the effective treatment of which depends on accurate diagnosis and phenotyping. Metabolomics provides valuable insights into the identification of differential metabolites for disease diagnosis and phenotyping. However, TB diagnosis and phenotyping remain great challenges due to the lack of a satisfactory metabolic approach. Here, a metabolomics‐based diagnostic method for rapid TB detection is reported. Serum metabolic fingerprints are examined via an automated nanoparticle‐enhanced laser desorption/ionization mass spectrometry platform outstanding by its rapid detection speed (measured in seconds), minimal sample consumption (in nanoliters), and cost‐effectiveness (approximately $3). A panel of 14 m z−1 features is identified as biomarkers for TB diagnosis and a panel of 4 m z−1 features for TB phenotyping. Based on the acquired biomarkers, TB metabolic models are constructed through advanced machine learning algorithms. The robust metabolic model yields a 97.8% (95% confidence interval (CI), 0.964‐0.986) area under the curve (AUC) in TB diagnosis and an 85.7% (95% CI, 0.806‐0.891) AUC in phenotyping. In this study, serum metabolic biomarker panels are revealed and develop an accurate metabolic tool with desirable diagnostic performance for TB diagnosis and phenotyping, which may expedite the effective implementation of the end‐TB strategy. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

24. Endogenous Magnetic Lipid Droplet-Mediated Cascade-Targeted Sonodynamic Therapy as an Approach to Reversing Breast Cancer Multidrug Resistance

Author

Shi, Zhan, Zeng, Yiqing, Luo, Jiali, Wang, Xue, Ma, Guangrong, Zhang, Tao, and Huang, Pintong

Abstract

Multidrug resistance (MDR) has emerged as a major barrier to effective breast cancer treatment, contributing to high rates of chemotherapy failure and disease recurrence. There is thus a pressing need to overcome MDR and to facilitate the efficient and precise treatment of breast cancer in a targeted manner. In this study, endogenous functional lipid droplets (IR780@LDs-Fe3O4/OA) were developed and used to effectively overcome the limited diffusion distance of reactive oxygen species owing to their amenability to cascade-targeted delivery, thereby facilitating precise and effective sonodynamic therapy (SDT) for MDR breast cancer. Initially, IR780@LDs-Fe3O4/OA was efficiently enriched within tumor sites in a static magnetic field, achieving the visualization of tumor treatment. Subsequently, the cascade-targeted SDT combined with the Fenton effect induced lysosome membrane permeabilization and relieved lysosomal sequestration, thus elevating drug concentration at the target site. This treatment approach also suppressed ATP production, thereby inhibiting P-glycoprotein-mediated chemotherapeutic drug efflux. This cascade-targeted SDT strategy significantly increased the sensitivity of MDR cells to doxorubicin, increasing the IC50value of doxorubicin by approximately 10-fold. Moreover, the cascade-targeted SDT also altered the gene expression profiles of MDR cells and suppressed the expression of MDR-related genes. In light of these promising results, the combination of cascade-targeted SDT and conventional chemotherapy holds great clinical promise as an effective treatment modality with excellent biocompatibility that can improve MDR breast cancer patient outcomes.

Published
2024
Full Text
View/download PDF

27. Guidelines and Good Clinical Practice Recommendations for Contrast-Enhanced Ultrasound (CEUS) in the Liver–Update 2020 WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS

Author

Dietrich, Christoph F., Nolsøe, Christian Pállson, Barr, Richard G., Berzigotti, Annalisa, Burns, Peter N., Cantisani, Vito, Chammas, Maria Cristina, Chaubal, Nitin, Choi, Byung Ihn, Clevert, Dirk-André, Cui, Xinwu, Dong, Yi, D'Onofrio, Mirko, Fowlkes, J. Brian, Gilja, Odd Helge, Huang, Pintong, Ignee, Andre, Jenssen, Christian, Kono, Yuko, Kudo, Masatoshi, Lassau, Nathalie, Lee, Won Jae, Lee, Jae Young, Liang, Ping, Lim, Adrian, Lyshchik, Andrej, Meloni, Maria Franca, Correas, Jean Michel, Minami, Yasunori, Moriyasu, Fuminori, Nicolau, Carlos, Piscaglia, Fabio, Saftoiu, Adrian, Sidhu, Paul S., Sporea, Ioan, Torzilli, Guido, Xie, Xiaoyan, and Zheng, Rongqin

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results