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| 1 | Total body irradiation of donors can alter the course of tolerance and induce acute rejection in a spontaneous tolerance rat liver transplantation model显示文摘Liver transplantation is an established therapy for end-stage liver diseases. Graft rejection occurs unless the recipient receives immunosuppression after transplantation. This study aimed to explore the mechanism of acute rejection of liver allografts in rats pre-treated with total body irradiation to eliminate passenger lymphocytes and to define the role of CD4 + CD25 + regulatory T cells in the induction of immunotolerance in the recipient. Male Lewis rats were used as donors and male DA rats were recipients. Rats were randomly assigned to the following four groups: control group, homogeneity liver transplantation group, idio-immunotolerance group and acute rejection group. After transplantation, the survival time of each group, serum alanine aminotransferase, total bilirubin levels, number of Foxp3 + CD4 + CD25 + regulatory T cells, expression of glucocorticoid-induced tumor necrosis factor receptor on T cell subgroups, histopathology of the hepatic graft and spleen cytotoxic T lymphocyte lytic activity were measured. In the acute rejection group, where donors were preconditioned with total body irradiation before liver transplantation, all recipients died between day 17 and day 21. On day 14, serum alanine aminotransferase increased signifi- cantly to (459.2±76.9) U L -1 , total bilirubin increased to (124.1±33.7) μmol L -1 (P<0.05) and the ratio of Foxp3 + CD4 + CD25 + regulatory T cells decreased significantly to 1.50%±0.50% (P<0.05) compared with the other groups. Analysis of the T cell subpopulations in the acute rejection group varied from the other groups. Histological analysis showed typical changes of acute rejection in the acute rejection group only. Preconditioning of the donors with total body irradiation eliminated passenger lymphocytes of the liver graft, and thus affected the course of tolerance and induced acute rejection after liver transplantation. | ZHANG YeWei ZHAO HeWei BO Lin YANG YinXue LU Xiang SUN JingFeng WEN JianFei HE Xia YIN GuoWen | 2012 | Science China(Life Sciences)2012，55，9： | 4 |
| 2 | Chinese expert consensus on conversion therapy for hepatocellular carcinoma(2021 edition)显示文摘Recent advances in systemic and locoregional treatments for patients with unresectable or advanced hepatocellular carcinoma(HCC)have resulted in improved response rates.This has provided an opportunity for selected patients with initially unresectable HCC to achieve adequate tumor downstaging to undergo surgical resection,a‘conversion therapy’strategy.However,conversion therapy is a new approach to the treatment of HCC and its practice and treatment protocols are still being developed.Review the evidence for conversion therapy in HCC and develop consensus statements to guide clinical practice.Evidence review:Many research centers in China have accumulated significant experience implementing HCC conversion therapy.Preliminary findings and data have shown that conversion therapy represents an important strategy to maximize the survival of selected patients with intermediate stage to advanced HCC;however,there are still many urgent clinical and scientific challenges for this therapeutic strategy and its related fields.In order to summarize and learn from past experience and review current challenges,the Chinese Expert Consensus on Conversion Therapy for Hepatocellular Carcinoma(2021 Edition)was developed based on a review of preliminary experience and clinical data from Chinese and non-Chinese studies in this field and combined with recommendations for clinical practice.Sixteen consensus statements on the implementation of conversion therapy for HCC were developed.The statements generated in this review are based on a review of clinical evidence and real clinical experience and will help guide future progress in conversion therapy for patients with HCC. | Hui-Chuan Sun Jian Zhou Zheng Wang Xiufeng Liu Qing Xie Weidong Jia Ming Zhao Xinyu Bi Gong Li Xueli Bai Yuan Ji Li Xu Xiao-Dong Zhu Dousheng Bai Yajin Chen Yongjun Chen Chaoliu Dai Rongping Guo Wenzhi Guo Chunyi Hao Tao Huang Zhiyong Huang Deyu Li Gang Li Tao Li Xiangcheng Li Guangming Li Xiao Liang Jingfeng Liu Fubao Liu Shichun Lu Zheng Lu Weifu Lv Yilei Mao Guoliang Shao Yinghong Shi Tianqiang Song Guang Tan Yunqiang Tang Kaishan Tao Chidan Wan Guangyi Wang Lu Wang Shunxiang Wang Tianfu Wen Baocai Xing Bangde Xiang Sheng Yan Dinghua Yang Guowen Yin Tao Yin Zhenyu Yin Zhengping Yu Bixiang Zhang Jialin Zhang Shuijun Zhang Ti Zhang Yamin Zhang Yubao Zhang Aibin Zhang Haitao Zhao Ledu Zhou Wu Zhang Zhenyu Zhu Shukui Qin Feng Shen Xiujun Cai Gaojun Teng Jianqiang Cai Minshan Chen Qiang Li Lianxin Liu Weilin Wang Tingbo Liang Jiahong Dong Xiaoping Chen Xuehao Wang Shusen Zheng Jia Fan 无 | 2022 | Hepatobiliary Surgery and Nutrition2022，11，2： | 4 |
| 3 | MiR-196a2 rs11614913 T<ce:hsp sp='0.25'/>><ce:hsp sp='0.25'/>C polymorphism and risk of esophageal cancer in a Chinese population<!-- miRNA polymorphism and esophageal cancer risk -->显示文摘 | Jishu Wei Liang Zheng Shenghua Liu Jun Yin Liming Wang Xu Wang Yijun Shi Aizhong Shao Weifeng Tang Guowen Ding Chao Liu Suocheng Chen Haiyong Gu | 2013 | Human Immunology2013，，： | 1 |
| 4 | Isolation of antioxidants from Psoralea corylifolia fruits using high-speed counter-current chromatography guided by thin layer chromatography-antioxidant autographic assay显示文摘 | Guodong Xiao Guowen Li Liang Chen Zijia Zhang Jun-Jie Yin Tao Wu Zhihong Cheng Xiaohui Wei Zhengtao Wang | 2010 | Journal of Chromatography A2010，，34： | 1 |
| 5 | Research on Maize Seed Classification Method Based on Convolutional Neural Network显示文摘The quality of maize seeds affects the outcome of planting and harvesting,so seed quality inspection has become very important.Traditional seed quality detection methods are labor-intensive and time-consuming,whereas seed quality detection using computer vision techniques is efficient and accurate.In this study,we conducted migration learning training in AlexNet,VGG11 and ShuffleNetV2 network models respectively,and found that ShuffleNetV2 has a high accuracy rate for maize seed classification and recognition by comparing various metrics.In this study,the features of the seed images were extracted through image pre-processing methods,and then the AlexNet,VGG11 and ShuffleNetV2 models were used for training and classification respectively.A total of 2081 seed images containing four varieties were used for training and testing.The experimental results showed that ShuffleNetV2 could efficiently distinguish different varieties of maize seeds with the highest classification accuracy of 100%,where the parameter size of the model was at 20.65 MB and the response time for a single image was at 0.45 s.Therefore,the method is of high practicality and extension value. | Guowen ZHANG Shuxin YIN | 2023 | Agricultural Biotechnology2023，12，4： | 0 |
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