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Li X, Li J, Ge Q, Du Y, Li G, Li W, Zhang T, Tan L, Zhang R, Yuan X, Zhang H, Zhang C, Liu W, Ding W, Sun L, Chen K, Wang Z, Shen N, Lu J. Detecting SARS-CoV-2 in the Breath of COVID-19 Patients. Front Med (Lausanne) 2021; 8:604392. [PMID: 33816516 PMCID: PMC8010128 DOI: 10.3389/fmed.2021.604392] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/09/2021] [Indexed: 01/12/2023] Open
Abstract
In the COVID-19 outbreak year 2020, a consensus was reached on the fact that SARS-CoV-2 spreads through aerosols. However, finding an efficient method to detect viruses in aerosols to monitor the risk of similar infections and enact effective control remains a great challenge. Our study aimed to build a swirling aerosol collection (SAC) device to collect viral particles in exhaled breath and subsequently detect SARS-CoV-2 using reverse transcription polymerase chain reaction (RT-PCR). Laboratory tests of the SAC device using aerosolized SARS-CoV-2 pseudovirus indicated that the SAC device can produce a positive result in only 10 s, with a collection distance to the source of 10 cm in a biosafety chamber, when the release rate of the pseudovirus source was 1,000,000 copies/h. Subsequent clinical trials of the device showed three positives and 14 negatives out of 27 patients in agreement with pharyngeal swabs, and 10 patients obtained opposite results, while no positive results were found in a healthy control group (n = 12). Based on standard curve calibration, several thousand viruses per minute were observed in the tested exhalations. Furthermore, referring to the average tidal volume data of adults, it was estimated that an exhaled SARS-CoV-2 concentration of approximately one copy/mL is detectable for COVID-19 patients. This study validates the original concept of breath detection of SARS-CoV-2 using SAC combined with RT-PCR.
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Affiliation(s)
- Xiaoguang Li
- Department of Infectious Diseases, Peking University Third Hospital, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Qinggang Ge
- Department of Infectious Diseases, Peking University Third Hospital, Beijing, China
| | - Yuguang Du
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering and Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing, China
| | - Guoqiang Li
- Commune of Scientific Engineers, Institute of Physics, Chinese Academy of Sciences, Beijing, China
| | - Wei Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Tong Zhang
- Department of Infectious Diseases, YouAn Hospital, Capital Medical University, Beijing, China
| | - Lei Tan
- State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing, China
| | - Runqiang Zhang
- State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing, China
| | - Xiaoning Yuan
- Department of Infectious Diseases, Peking University Third Hospital, Beijing, China
| | - He Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Chen Zhang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering and Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wei Ding
- Commune of Scientific Engineers, Institute of Physics, Chinese Academy of Sciences, Beijing, China
| | - Liang Sun
- Commune of Scientific Engineers, Institute of Physics, Chinese Academy of Sciences, Beijing, China
| | - Ke Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zhuo Wang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering and Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing, China
| | - Ning Shen
- Department of Infectious Diseases, Peking University Third Hospital, Beijing, China
| | - Jun Lu
- Commune of Scientific Engineers, Institute of Physics, Chinese Academy of Sciences, Beijing, China
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Xiao Y, Xu H, Guo W, Zhao Y, Luo Y, Wang M, He Z, Ding Z, Liu J, Deng L, Sha F, Ma X. Update on treatment and preventive interventions against COVID-19: an overview of potential pharmacological agents and vaccines. MOLECULAR BIOMEDICINE 2020; 1:16. [PMID: 34765999 PMCID: PMC7711057 DOI: 10.1186/s43556-020-00017-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 11/11/2020] [Indexed: 02/06/2023] Open
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) triggered by the new member of the coronaviridae family, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has created an unprecedented challenge for global health. In addition to mild to moderate clinical manifestations such as fever, cough, and fatigue, severe cases often developed lethal complications including acute respiratory distress syndrome (ARDS) and acute lung injury. Given the alarming rate of infection and increasing trend of mortality, the development of underlying therapeutic and preventive treatment, as well as the verification of its effectiveness, are the top priorities. Current research mainly referred to and evaluated the application of the empirical treatment based on two precedents, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), including antiviral drugs targeting different stages of virus replication, immunotherapy modulating the overactivated inflammation response, and other therapies such as herbal medicine and mesenchymal stem cells. Besides, the ongoing development of inventing prophylactic interventions such as various vaccines by companies and institutions worldwide is crucial to decline morbidity and mortality. This review mainly focused on promising candidates for the treatment of COVID-19 and collected recently updated evidence relevant to its feasibility in clinical practice in the near future.
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Affiliation(s)
- Yinan Xiao
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Hanyue Xu
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Wen Guo
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Yunuo Zhao
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Yuling Luo
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Ming Wang
- Infectious Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Zhiyao He
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041 China
| | - Zhenyu Ding
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Jiyan Liu
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Lei Deng
- Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York, 10465 USA
| | - Fushen Sha
- Department of Internal Medicine, State University of New York, Downstate Medical Center, Brooklyn, New York, 11203 USA
| | - Xuelei Ma
- Department of Biotherapy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041 China
- West China Hospital, Sichuan University, Chengdu, 610041 China
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Han J, Shi LX, Xie Y, Zhang YJ, Huang SP, Li JG, Wang HR, Shao SF. Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration. Epidemiol Infect 2020; 148:e125. [PMID: 32580792 PMCID: PMC7332754 DOI: 10.1017/s0950268820001399] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/18/2020] [Accepted: 06/22/2020] [Indexed: 12/30/2022] Open
Abstract
The clinical characteristics of patients with COVID-19 were analysed to determine the factors influencing the prognosis and virus shedding time to facilitate early detection of disease progression. Logistic regression analysis was used to explore the relationships among prognosis, clinical characteristics and laboratory indexes. The predictive value of this model was assessed with receiver operating characteristic curve analysis, calibration and internal validation. The viral shedding duration was calculated using the Kaplan-Meier method, and the prognostic factors were analysed by univariate log-rank analysis and the Cox proportional hazards model. A retrospective study was carried out with patients with COVID-19 in Tianjin, China. A total of 185 patients were included, 27 (14.59%) of whom were severely ill at the time of discharge and three (1.6%) of whom died. Our findings demonstrate that patients with an advanced age, diabetes, a low PaO2/FiO2 value and delayed treatment should be carefully monitored for disease progression to reduce the incidence of severe disease. Hypoproteinaemia and the fever duration warrant special attention. Timely interventions in symptomatic patients and a time from symptom onset to treatment <4 days can shorten the duration of viral shedding.
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Affiliation(s)
- Jing Han
- Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin300350, China
- Department of Prevention and infection management, Haihe Hospital, Tianjin University, Tianjin, 300350, China
| | - Li-xia Shi
- Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin300350, China
- Department of Respiratory, Haihe Hospital, Tianjin University, Tianjin300350, China
| | - Yi Xie
- Department of Prevention and infection management, Haihe Hospital, Tianjin University, Tianjin, 300350, China
| | - Yong-jin Zhang
- Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin300350, China
| | - Shu-ping Huang
- Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin300350, China
| | - Jian-guo Li
- Department of Respiratory, Haihe Hospital, Tianjin University, Tianjin300350, China
| | - He-rong Wang
- Department of Respiratory, Haihe Hospital, Tianjin University, Tianjin300350, China
| | - Shi-feng Shao
- Department of Respiratory, Haihe Hospital, Tianjin University, Tianjin300350, China
- Tianjin Institute of Respiratory Diseases, Tianjin300350, China
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