9 Works

DHX9 interacts with APOBEC3B and attenuates the anti-HBV effect of APOBEC3B

Yanmeng Chen, Bocun Shen, Xiaochuan Zheng, Quanxin Long, Jie Xia, Yao Huang, Xuefei Cai, Deqiang Wang, Juan Chen, Ni Tang, Ailong Huang & Yuan Hu
Hepatitis B virus (HBV) is a partially double-stranded DNA virus that replicates by reverse transcription. We previously demonstrated that the host restriction factor-APOBEC3B (A3B) inhibited HBV replication which was dependent on its deaminase activity during reverse transcription. However, the host factors involved in the process of regulating the anti-HBV function of A3B are less known. In this research, to obtain a comprehensive understanding of the interaction networks of A3B, we conducted coimmunoprecipitation and mass spectrometry...

Epidemiology and clinical course of COVID-19 in Shanghai, China

Yinzhong Shen, Fang Zheng, Danfeng Sun, Yun Ling, Jun Chen, Feng Li, Tao Li, Zhiping Qian, Yuyi Zhang, Qingnian Xu, Li Liu, Qin Huang, Fei Shan, Lie Xu, Jun Wu, Zhaoqin Zhu, Zhigang Song, Shenyang Li, Yuxin Shi, Jianliang Zhang, Xueyun Wu, Joshua B. Mendelsohn, Tongyu Zhu & Hongzhou Lu
Background: Novel coronavirus pneumonia (COVID-19) is prevalent around the world. We aimed to describe epidemiological features and clinical course in Shanghai. Methods: We retrospectively analysed 325 cases admitted at Shanghai Public Health Clinical Center, between January 20 and February 29, 2020. Results: 47.4% (154/325) had visited Wuhan within 2 weeks of illness onset. 57.2% occurred in 67 clusters; 40% were situated within 53 family clusters. 83.7% developed fever during the disease course. Median times from...

Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes

Yilun Sun & Lu Wang
A dynamic treatment regime (DTR) is a sequence of decision rules that adapt to the time-varying states of an individual. Black-box learning methods have shown great potential in predicting the optimal treatments; however, the resulting DTRs lack interpretability, which is of paramount importance for medical experts to understand and implement. We present a stochastic tree-based reinforcement learning (ST-RL) method for estimating optimal DTRs in a multistage multitreatment setting with data from either randomized trials or...

Epidemiology and clinical course of COVID-19 in Shanghai, China

Yinzhong Shen, Fang Zheng, Danfeng Sun, Yun Ling, Jun Chen, Feng Li, Tao Li, Zhiping Qian, Yuyi Zhang, Qingnian Xu, Li Liu, Qin Huang, Fei Shan, Lie Xu, Jun Wu, Zhaoqin Zhu, Zhigang Song, Shenyang Li, Yuxin Shi, Jianliang Zhang, Xueyun Wu, Joshua B. Mendelsohn, Tongyu Zhu & Hongzhou Lu
Background: Novel coronavirus pneumonia (COVID-19) is prevalent around the world. We aimed to describe epidemiological features and clinical course in Shanghai. Methods: We retrospectively analysed 325 cases admitted at Shanghai Public Health Clinical Center, between January 20 and February 29, 2020. Results: 47.4% (154/325) had visited Wuhan within 2 weeks of illness onset. 57.2% occurred in 67 clusters; 40% were situated within 53 family clusters. 83.7% developed fever during the disease course. Median times from...

Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes

Yilun Sun & Lu Wang
A dynamic treatment regime (DTR) is a sequence of decision rules that adapt to the time-varying states of an individual. Black-box learning methods have shown great potential in predicting the optimal treatments; however, the resulting DTRs lack interpretability, which is of paramount importance for medical experts to understand and implement. We present a stochastic tree-based reinforcement learning (ST-RL) method for estimating optimal DTRs in a multistage multitreatment setting with data from either randomized trials or...

Development of an immune-related prognostic index associated with osteosarcoma

Chao-Dong Yin, Ying-Lan Hou, Xiao-Ren Liu, Yu-Sheng He, Xin-Ping Wang, Cheng-Jie Li, Xiao-Hong Tan & Jun Liu
Tumor immunity is closely associated with the prognosis of tumors, including osteosarcoma (OS). The aim of the present study was to construct an immune-related prognostic index (PI) to predict the prognosis of OS. Herein, OS expression data were sourced from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. We divided the OS patients into nonmetastatic and metastatic groups, allowing differentially immune-related genes (DIRGs) to be selected. After DIRGs were further investigated by enrichment...

Viral RNA level, serum antibody responses, and transmission risk in recovered COVID-19 patients with recurrent positive SARS-CoV-2 RNA test results: a population-based observational cohort study

Chao Yang, Min Jiang, Xiaohui Wang, Xiujuan Tang, Shisong Fang, Hao Li, Le Zuo, Yixiang Jiang, Yifan Zhong, Qiongcheng Chen, Chenli Zheng, Lei Wang, Shuang Wu, Weihua Wu, Hui Liu, Jing Yuan, Xuejiao Liao, Zhen Zhang, Xiaolu Shi, Yijie Geng, Huan Zhang, Huanying Zheng, Min Wan, Linying Lu, Xiaohu Ren … & Qinghua Hu
Managing recovered COVID-19 patients with recurrent-positive SARS-CoV-2 RNA test results is challenging. We performed a population-based observational study to characterize the viral RNA level and serum antibody responses in recurrent-positive patients and evaluate their viral transmission risk. Of 479 recovered COVID-19 patients, 93 (19%) recurrent-positive patients were identified, characterized by younger age, with a median discharge-to-recurrent-positive length of 8 days. After readmission, recurrent-positive patients exhibited mild (28%) or absent (72%) symptoms, with no disease progression....

Viral RNA level, serum antibody responses, and transmission risk in recovered COVID-19 patients with recurrent positive SARS-CoV-2 RNA test results: a population-based observational cohort study

Chao Yang, Min Jiang, Xiaohui Wang, Xiujuan Tang, Shisong Fang, Hao Li, Le Zuo, Yixiang Jiang, Yifan Zhong, Qiongcheng Chen, Chenli Zheng, Lei Wang, Shuang Wu, Weihua Wu, Hui Liu, Jing Yuan, Xuejiao Liao, Zhen Zhang, Xiaolu Shi, Yijie Geng, Huan Zhang, Huanying Zheng, Min Wan, Linying Lu, Xiaohu Ren … & Qinghua Hu
Managing recovered COVID-19 patients with recurrent-positive SARS-CoV-2 RNA test results is challenging. We performed a population-based observational study to characterize the viral RNA level and serum antibody responses in recurrent-positive patients and evaluate their viral transmission risk. Of 479 recovered COVID-19 patients, 93 (19%) recurrent-positive patients were identified, characterized by younger age, with a median discharge-to-recurrent-positive length of 8 days. After readmission, recurrent-positive patients exhibited mild (28%) or absent (72%) symptoms, with no disease progression....

Development of an immune-related prognostic index associated with osteosarcoma

Chao-Dong Yin, Ying-Lan Hou, Xiao-Ren Liu, Yu-Sheng He, Xin-Ping Wang, Cheng-Jie Li, Xiao-Hong Tan & Jun Liu
Tumor immunity is closely associated with the prognosis of tumors, including osteosarcoma (OS). The aim of the present study was to construct an immune-related prognostic index (PI) to predict the prognosis of OS. Herein, OS expression data were sourced from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. We divided the OS patients into nonmetastatic and metastatic groups, allowing differentially immune-related genes (DIRGs) to be selected. After DIRGs were further investigated by enrichment...

Registration Year

  • 2020
    9

Resource Types

  • Text
    6
  • Image
    2
  • Dataset
    1

Affiliations

  • Second Affiliated Hospital of Guangzhou Medical University
    9
  • Huazhong University of Science and Technology
    8
  • Yunnan University
    6
  • Zhejiang University
    6
  • Capital Medical University
    5
  • Chongqing Medical University
    5
  • Shanghai Jiao Tong University
    5
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    5
  • Yangzhou University
    5
  • China Agricultural University
    5