L
Lingling Tang
Researcher at Zhejiang University
Publications - 13
Citations - 702
Lingling Tang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Dysbiosis & Lopinavir. The author has an hindex of 6, co-authored 13 publications receiving 303 citations.
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Journal ArticleDOI
Alterations of the Gut Microbiota in Patients With Coronavirus Disease 2019 or H1N1 Influenza
Silan Gu,Yanfei Chen,Zhengjie Wu,Yunbo Chen,Hainv Gao,Longxian Lv,Feifei Guo,Xuewu Zhang,Rui Luo,Chenjie Huang,Haifeng Lu,Beiwen Zheng,Jiaying Zhang,Ren Yan,Hua Zhang,Huiyong Jiang,Qiaomai Xu,Jing Guo,Yiwen Gong,Lingling Tang,Lanjuan Li +20 more
TL;DR: The gut microbial signature of patients with COVID-19 was different from that of H1N1 patients and HC, suggesting the potential value of the gut microbiota as a diagnostic biomarker and therapeutic target for CO VID-19, but further validation is needed.
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Evaluation of the safety and efficacy of using human menstrual blood‐derived mesenchymal stromal cells in treating severe and critically ill COVID‐19 patients: An exploratory clinical trial
Xiaowei Xu,Wanli Jiang,Lijun Chen,Zhenyu Xu,Qiang Zhang,Mengfei Zhu,Peng Ye,Hang Li,Liang Yu,Xiaoyang Zhou,Chenliang Zhou,Xiaobei Chen,Xiaoqin Zheng,Kaijin Xu,Hongliu Cai,Shufa Zheng,Wubian Jiang,Xiaojun Wu,Dong Li,Lu Chen,Qingqing Luo,Yingyan Wang,Jingjing Qu,Yifei Li,Wendi Zheng,Yingan Jiang,Lingling Tang,Charlie Xiang,Lanjuan Li +28 more
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Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.
TL;DR: Wang et al. as discussed by the authors proposed a diagnostic system based on artificial intelligence (AI) method to predict the probability of acute respiratory distress syndrome (ARDS) in COVID-19 patients.
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Gut mycobiota alterations in patients with COVID-19 and H1N1 infections and their associations with clinical features.
Longxian Lv,Silan Gu,Huiyong Jiang,Ren Yan,Yanfei Chen,Yunbo Chen,Rui Luo,Chenjie Huang,Haifeng Lu,Beiwen Zheng,Hua Zhang,Jiafeng Xia,Lingling Tang,Guoping Sheng,Lanjuan Li +14 more
TL;DR: In this article, the authors compared the gut mycobiota of 67 COVID-19 patients, 35 H1N1-infected patients and 48 healthy controls (HCs) using internal transcribed spacer (ITS) 3-ITS4 sequencing and analyzed their associations with clinical features and the bacterial microbiota.
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Dielectric and aging behavior of multiferroic YbMnO3 ceramics
TL;DR: In this paper, the authors investigated the dielectric behavior and aging phenomenon of multiferroic YbMnO 3 ceramics and found that the aging phenomenon could be explained as a result of the time-dependent formation of defect dipoles and their reorientations.