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1,571 results on '"Qian, Zhiyong"'

202. A Transformable Amphiphilic and Block Polymer−Dendron Conjugate for Enhanced Tumor Penetration and Retention with Cellular Homeostasis Perturbation via Membrane Flow

Author

Gu, Lei, primary, Duan, Zhenyu, additional, Chen, Xiaoting, additional, Li, Xiaoling, additional, Luo, Qiang, additional, Bhamra, Apanpreet, additional, Pan, Dayi, additional, Zhu, Hongyan, additional, Tian, Xiaohe, additional, Chen, Rongjun, additional, Gu, Zhongwei, additional, Zhang, Hu, additional, Qian, Zhiyong, additional, Gong, Qiyong, additional, and Luo, Kui, additional

Published
2022
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203. Cover Image, Volume 33, Issue 3

Author

Chen, Xing, primary, Qian, Zhiyong, additional, Zou, Fengwei, additional, Wang, Yao, additional, Zhang, Xinwei, additional, Qiu, Yuanhao, additional, Hou, Xiaofeng, additional, Zhou, Xiaohong, additional, Vijayaraman, Pugazhendhi, additional, and Zou, Jiangang, additional

Published
2022
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237. Front Cover: From mouse to mouse‐ear cress: Nanomaterials as vehicles in plant biotechnology (EXP2 1/2021)

Author

Xia, Xue, primary, Shi, Bingyang, additional, Wang, Lei, additional, Liu, Yang, additional, Zou, Yan, additional, Zhou, Yun, additional, Chen, Yu, additional, Zheng, Meng, additional, Zhu, Yingfang, additional, Duan, Jingjing, additional, Guo, Siyi, additional, Jang, Ho Won, additional, Miao, Yuchen, additional, Fan, Kelong, additional, Bai, Feng, additional, Tao, Wei, additional, Zhao, Yong, additional, Yan, Qingyu, additional, Cheng, Gang, additional, Liu, Huiyu, additional, Jiao, Yan, additional, Liu, Shanhu, additional, Huang, Yuanyu, additional, Ling, Daishun, additional, Kang, Wenyi, additional, Xue, Xue, additional, Cui, Daxiang, additional, Huang, Yongwei, additional, Cui, Zongqiang, additional, Sun, Xun, additional, Qian, Zhiyong, additional, Gu, Zhen, additional, Han, Gang, additional, Yang, Zhimou, additional, Leong, David Tai, additional, Wu, Aiguo, additional, Liu, Gang, additional, Qu, Xiaogang, additional, Shen, Youqing, additional, Wang, Qiangbin, additional, Lowry, Gregory V., additional, Wang, Ertao, additional, Liang, Xing‐Jie, additional, Gardea‐Torresdey, Jorge, additional, Chen, Guoping, additional, Parak, Wolfgang J., additional, Weiss, Paul S., additional, Zhang, Lixin, additional, Stenzel, Martina M., additional, Fan, Chunhai, additional, Bush, Ashley I., additional, Zhang, Gaiping, additional, Grof, Christopher P. L., additional, Wang, Xuelu, additional, Galbraith, David W., additional, Tang, Ben Zhong, additional, Offler, Christina E., additional, Patrick, John W., additional, and Song, Chun‐Peng, additional

Published
2021
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240. An injectable conductive hydrogel restores electrical transmission at myocardial infarct site to preserve cardiac function and enhance repair

Author

Zhang, Linghong, Li, Tao, Yu, Yan, Shi, Kun, Bei, Zhongwu, Qian, Yongjun, and Qian, Zhiyong

Abstract

Myocardial infarction (MI) leads to massive cardiomyocyte death and deposition of collagen fibers. This fibrous tissue disrupts electrical signaling in the myocardium, leading to cardiac systolic and diastolic dysfunction, as well as arrhythmias. Conductive hydrogels are a promising therapeutic strategy for MI. Here, we prepared a highly water-soluble conductive material (GP) by grafting polypyrrole (PPy) onto non-conductive gelatin. This component was added to the gel system formed by the Schiff base reaction between oxidized xanthan gum (OXG) and gelatin to construct an injectable conductive hydrogel. The prepared self-healing OGGP3 (3 wt% GP) hydrogel had good biocompatibility, elastic modulus, and electrical conductivity that matched the natural heart. The prepared biomaterials were injected into the rat myocardial scar tissue 2 days after MI. We found that the cardiac function of the rats treated with OGGP3 was improved, making it more difficult to induce arrhythmias. The electrical resistivity of myocardial fibrous tissue was reduced, and the conduction velocity of myocardial tissue was increased. Histological analysis showed reduced infarct size, increased left ventricular wall thickness, increased vessel density, and decreased inflammatory response in the infarcted area. Our findings clearly demonstrate that the OGGP3 hydrogel attenuates ventricular remodeling and inhibits infarct dilation, thus showing its potential for the treatment of MI.

Published
2023
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244. A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI

Author

He, Zhuo, Zhang, Xinwei, Zhao, Chen, Qian, Zhiyong, Wang, Yao, Hou, Xiaofeng, Zou, Jiangang, and Zhou, Weihua

Subjects
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Physical sciences, Medical Physics (physics.med-ph), Physics - Medical Physics
Abstract

Background. Studies have shown that the conventional left ventricular mechanical dyssynchrony (LVMD) parameters have their own statistical limitations. The purpose of this study is to extract new LVMD parameters from the phase analysis of gated SPECT MPI by deep learning to help CRT patient selection. Methods. One hundred and three patients who underwent rest gated SPECT MPI were enrolled in this study. CRT response was defined as a decrease in left ventricular end-systolic volume (LVESV) >= 15% at 6 +- 1 month follow up. Autoencoder (AE), an unsupervised deep learning method, was trained by the raw LV systolic phase polar maps to extract new LVMD parameters, called AE-based LVMD parameters. Correlation analysis was used to explain the relationships between new parameters with conventional LVMD parameters. Univariate and multivariate analyses were used to establish a multivariate model for predicting CRT response. Results. Complete data were obtained in 102 patients, 44.1% of them were classified as CRT responders. AE-based LVMD parameter was significant in the univariate (OR 1.24, 95% CI 1.07 - 1.44, P = 0.006) and multivariate analyses (OR 1.03, 95% CI 1.01 - 1.06, P = 0.006). Moreover, it had incremental value over PSD (AUC 0.72 vs. 0.63, LH 8.06, P = 0.005) and PBW (AUC 0.72 vs. 0.64, LH 7.87, P = 0.005), combined with significant clinic characteristics, including LVEF and gender. Conclusions. The new LVMD parameters extracted by autoencoder from the baseline gated SPECT MPI has the potential to improve the prediction of CRT response., 10 pages, 3 figures, will submit to journal of nuclear cardiology

Published
2021
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248. Ring-like late gadolinium enhancement for predicting ventricular tachyarrhythmias in non-ischaemic dilated cardiomyopathy

Author

Chen, Wensu, primary, Qian, Wen, additional, Zhang, Xinwei, additional, Li, Dongcheng, additional, Qian, Zhiyong, additional, Xu, Hai, additional, Liao, Shengen, additional, Chen, Xing, additional, Wang, Yao, additional, Hou, Xiaofeng, additional, Patel, Amit R, additional, Xu, Yi, additional, and Zou, Jiangang, additional

Published
2021
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