1.Differential diagnosis of coronavirus disease 2019 from pneumonias caused by other etiologies in a fever clinic in Beijing.
Ying LIANG ; Jing-Jin LIANG ; Qing-Tao ZHOU ; Xiao-Guang LI ; Fei LIN ; Zhong-Hua DENG ; Bi-Ying ZHANG ; Lu LI ; Xiao-Hua WANG ; Hong ZHU ; Qing-Bian MA ; Xiao-Mei TONG ; Jie XU ; Yong-Chang SUN
Chinese Medical Journal 2020;133(20):2504-2506
3.High-throughput sequencing for confirmation of suspected 2019-nCoV infection identified by fluorescence quantitative polymerase chain reaction.
Wen-Da GUAN ; Li-Ping CHEN ; Feng YE ; Dan YE ; Shi-Guan WU ; Hong-Xia ZHOU ; Jia-Yang HE ; Chun-Guang YANG ; Zhi-Qi ZENG ; Yu-Tao WANG ; Run-Feng LI ; Qiu-Ling DU ; Xiao-Li LIANG ; Qin-Hai MA ; Zi-Feng YANG
Chinese Medical Journal 2020;133(11):1385-1386
4.Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus-related coronavirus model.
Hua-Hao FAN ; Li-Qin WANG ; Wen-Li LIU ; Xiao-Ping AN ; Zhen-Dong LIU ; Xiao-Qi HE ; Li-Hua SONG ; Yi-Gang TONG
Chinese Medical Journal 2020;133(9):1051-1056
BACKGROUND:
Medicines for the treatment of 2019-novel coronavirus (2019-nCoV) infections are urgently needed. However, drug screening using live 2019-nCoV requires high-level biosafety facilities, which imposes an obstacle for those institutions without such facilities or 2019-nCoV. This study aims to repurpose the clinically approved drugs for the treatment of coronavirus disease 2019 (COVID-19) in a 2019-nCoV-related coronavirus model.
METHODS:
A 2019-nCoV-related pangolin coronavirus GX_P2V/pangolin/2017/Guangxi was described. Whether GX_P2V uses angiotensin-converting enzyme 2 (ACE2) as the cell receptor was investigated by using small interfering RNA (siRNA)-mediated silencing of ACE2. The pangolin coronavirus model was used to identify drug candidates for treating 2019-nCoV infection. Two libraries of 2406 clinically approved drugs were screened for their ability to inhibit cytopathic effects on Vero E6 cells by GX_P2V infection. The anti-viral activities and anti-viral mechanisms of potential drugs were further investigated. Viral yields of RNAs and infectious particles were quantified by quantitative real-time polymerase chain reaction (qRT-PCR) and plaque assay, respectively.
RESULTS:
The spike protein of coronavirus GX_P2V shares 92.2% amino acid identity with that of 2019-nCoV isolate Wuhan-hu-1, and uses ACE2 as the receptor for infection just like 2019-nCoV. Three drugs, including cepharanthine (CEP), selamectin, and mefloquine hydrochloride, exhibited complete inhibition of cytopathic effects in cell culture at 10 μmol/L. CEP demonstrated the most potent inhibition of GX_P2V infection, with a concentration for 50% of maximal effect [EC50] of 0.98 μmol/L. The viral RNA yield in cells treated with 10 μmol/L CEP was 15,393-fold lower than in cells without CEP treatment ([6.48 ± 0.02] × 10vs. 1.00 ± 0.12, t = 150.38, P < 0.001) at 72 h post-infection (p.i.). Plaque assays found no production of live viruses in media containing 10 μmol/L CEP at 48 h p.i. Furthermore, we found CEP had potent anti-viral activities against both viral entry (0.46 ± 0.12, vs.1.00 ± 0.37, t = 2.42, P < 0.05) and viral replication ([6.18 ± 0.95] × 10vs. 1.00 ± 0.43, t = 3.98, P < 0.05).
CONCLUSIONS
Our pangolin coronavirus GX_P2V is a workable model for 2019-nCoV research. CEP, selamectin, and mefloquine hydrochloride are potential drugs for treating 2019-nCoV infection. Our results strongly suggest that CEP is a wide-spectrum inhibitor of pan-betacoronavirus, and further study of CEP for treatment of 2019-nCoV infection is warranted.
Betacoronavirus
;
drug effects
;
genetics
;
Cell Line
;
Clinical Laboratory Techniques
;
Coronavirus Infections
;
diagnosis
;
drug therapy
;
Drug Approval
;
Humans
;
Pandemics
;
Pneumonia, Viral
;
diagnosis
;
drug therapy
;
RNA, Small Interfering
;
genetics
;
Real-Time Polymerase Chain Reaction
;
Viral Load
5.Science in the fight against the novel coronavirus disease 2019 (COVID-19).
Jian-Wei WANG ; Bin CAO ; Chen WANG
Chinese Medical Journal 2020;133(9):1009-1011
6.Persistence and clearance of viral RNA in 2019 novel coronavirus disease rehabilitation patients.
Yun LING ; Shui-Bao XU ; Yi-Xiao LIN ; Di TIAN ; Zhao-Qin ZHU ; Fa-Hui DAI ; Fan WU ; Zhi-Gang SONG ; Wei HUANG ; Jun CHEN ; Bi-Jie HU ; Sheng WANG ; En-Qiang MAO ; Lei ZHU ; Wen-Hong ZHANG ; Hong-Zhou LU
Chinese Medical Journal 2020;133(9):1039-1043
BACKGROUND:
A patient's infectivity is determined by the presence of the virus in different body fluids, secretions, and excreta. The persistence and clearance of viral RNA from different specimens of patients with 2019 novel coronavirus disease (COVID-19) remain unclear. This study analyzed the clearance time and factors influencing 2019 novel coronavirus (2019-nCoV) RNA in different samples from patients with COVID-19, providing further evidence to improve the management of patients during convalescence.
METHODS:
The clinical data and laboratory test results of convalescent patients with COVID-19 who were admitted to from January 20, 2020 to February 10, 2020 were collected retrospectively. The reverse transcription polymerase chain reaction (RT-PCR) results for patients' oropharyngeal swab, stool, urine, and serum samples were collected and analyzed. Convalescent patients refer to recovered non-febrile patients without respiratory symptoms who had two successive (minimum 24 h sampling interval) negative RT-PCR results for viral RNA from oropharyngeal swabs. The effects of cluster of differentiation 4 (CD4)+ T lymphocytes, inflammatory indicators, and glucocorticoid treatment on viral nucleic acid clearance were analyzed.
RESULTS:
In the 292 confirmed cases, 66 patients recovered after treatment and were included in our study. In total, 28 (42.4%) women and 38 men (57.6%) with a median age of 44.0 (34.0-62.0) years were analyzed. After in-hospital treatment, patients' inflammatory indicators decreased with improved clinical condition. The median time from the onset of symptoms to first negative RT-PCR results for oropharyngeal swabs in convalescent patients was 9.5 (6.0-11.0) days. By February 10, 2020, 11 convalescent patients (16.7%) still tested positive for viral RNA from stool specimens and the other 55 patients' stool specimens were negative for 2019-nCoV following a median duration of 11.0 (9.0-16.0) days after symptom onset. Among these 55 patients, 43 had a longer duration until stool specimens were negative for viral RNA than for throat swabs, with a median delay of 2.0 (1.0-4.0) days. Results for only four (6.9%) urine samples were positive for viral nucleic acid out of 58 cases; viral RNA was still present in three patients' urine specimens after throat swabs were negative. Using a multiple linear regression model (F = 2.669, P = 0.044, and adjusted R = 0.122), the analysis showed that the CD4+ T lymphocyte count may help predict the duration of viral RNA detection in patients' stools (t = -2.699, P = 0.010). The duration of viral RNA detection from oropharyngeal swabs and fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (15 days vs. 8.0 days, respectively; t = 2.550, P = 0.013) and the duration of viral RNA detection in fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (20 days vs. 11 days, respectively; t = 4.631, P < 0.001). There was no statistically significant difference in inflammatory indicators between patients with positive fecal viral RNA test results and those with negative results (P > 0.05).
CONCLUSIONS
In brief, as the clearance of viral RNA in patients' stools was delayed compared to that in oropharyngeal swabs, it is important to identify viral RNA in feces during convalescence. Because of the delayed clearance of viral RNA in the glucocorticoid treatment group, glucocorticoids are not recommended in the treatment of COVID-19, especially for mild disease. The duration of RNA detection may relate to host cell immunity.
Adult
;
Aged
;
Betacoronavirus
;
genetics
;
Clinical Laboratory Techniques
;
Coronavirus Infections
;
diagnosis
;
genetics
;
rehabilitation
;
Female
;
Humans
;
Male
;
Middle Aged
;
Pandemics
;
Pneumonia, Viral
;
genetics
;
rehabilitation
;
RNA, Viral
;
genetics
;
Real-Time Polymerase Chain Reaction
;
Retrospective Studies
7.Guideline for diagnosis and treatment of spine trauma in the epidemic of COVID-19.
Yu-Long WANG ; Feng-Zhao ZHU ; Lian ZENG ; Dionne TELEMACQUE ; Jamal Ahmad SALEEM ALSHORMAN ; Jin-Ge ZHOU ; Ze-Kang XIONG ; Ting-Fang SUN ; Yan-Zhen QU ; Sheng YAO ; Tian-Sheng SUN ; Shi-Qing FENG ; Xiao-Dong GUO
Chinese Journal of Traumatology 2020;23(4):196-201
Outbreak of COVID-19 is ongoing all over the world. Spine trauma is one of the most common types of trauma and will probably be encountered during the fight against COVID-19 and resumption of work and production. Patients with unstable spine fractures or continuous deterioration of neurological function require emergency surgery. The COVID-19 epidemic has brought tremendous challenges to the diagnosis and treatment of such patients. To coordinate the diagnosis and treatment of infectious disease prevention and spine trauma so as to formulate a rigorous diagnosis and treatment plan and to reduce the disability and mortality of the disease, multidisciplinary collaboration is needed. This expert consensus is formulated in order to (1) prevent and control the epidemic, (2) diagnose and treat patients with spine trauma reasonably, and (3) reduce the risk of cross-infection between patients and medical personnel during the treatment.
Betacoronavirus
;
Coronavirus Infections
;
epidemiology
;
prevention & control
;
Cross Infection
;
prevention & control
;
Emergency Service, Hospital
;
Humans
;
Pandemics
;
prevention & control
;
Patient Care Team
;
Pneumonia, Viral
;
epidemiology
;
prevention & control
;
Practice Guidelines as Topic
;
Spinal Injuries
;
diagnosis
;
therapy
;
Transportation of Patients
8.A rapid colloidal gold immunochromatographic assay for the diagnosis of coronavirus disease 2019.
Xiao-Ling WANG ; Lei WANG ; Chao-Lu HASI ; Yu-Po WANG ; Ajab KHAN ; Bin-Zhi REN ; Zhi-Zhen LIU ; Shun-Lin HOU ; Li-Hong YANG ; Liao-Yun ZHANG ; Yong-Kang DONG ; Jun XU ; Jun XIE
Chinese Medical Journal 2020;133(16):1986-1988
9.Application of laboratory diagnostic technologies for SARS-CoV-2: current progress and prospect.
Bin XIAO ; Quan ZHOU ; Ting LEI ; Yongyin HE ; Linhai LI
Journal of Southern Medical University 2020;40(4):601-605
Since the outbreak of COVID-19 pandemic, the detection capability has been improving and the detection techniques have been evolving with innovations. qRT- PCR and mNGS, which represent the current mainstay diagnostic technologies, play key roles in disease diagnosis and monitoring of virus variation. The detection technologies based on serum and plasma IgM and IgG antibodies are important for auxiliary diagnosis. RT-LAMP is highly specific for a diagnostic purpose. Digital PCR could quantitatively detect nucleic acid and SHERLOCK has a higher sensitivity. These techniques all have great potential for future development and application for pathogen detection. In this review the authors summarize the basic rationales, technical characteristics and the current application of the SARS-CoV-2 detection techniques.
Antibodies, Viral
;
Betacoronavirus
;
Clinical Laboratory Techniques
;
Coronavirus Infections
;
diagnosis
;
Humans
;
Immunoglobulin G
;
Immunoglobulin M
;
Pandemics
;
Pneumonia, Viral
;
diagnosis
10.Machine learning-based method for interpreting the guidelines of the diagnosis and treatment of COVID-19.
Xiaorong PU ; Kecheng CHEN ; Junchi LIU ; Jin WEN ; Shangwei ZHNENG ; Honghao LI
Journal of Biomedical Engineering 2020;37(3):365-372
The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short period of time, Chinese medical workers have experienced the gradual understanding, evidence accumulation and clinical practice of the unknown virus. So far, National Health Commission of the People's Republic of China has issued seven trial versions of the "Guidelines for the Diagnosis and Treatment of COVID-19". However, it is difficult for clinicians and laymen to quickly and accurately distinguish the similarities and differences among the different versions and locate the key points of the new version. This paper reports a computer-aided intelligent analysis method based on machine learning, which can automatically analyze the similarities and differences of different treatment plans, present the focus of the new version to doctors, reduce the difficulty in interpreting the "diagnosis and treatment plan" for the professional, and help the general public better understand the professional knowledge of medicine. Experimental results show that this method can achieve the topic prediction and matching of the new version of the program text through unsupervised learning of the previous versions of the program topic with an accuracy of 100%. It enables the computer interpretation of "diagnosis and treatment plan" automatically and intelligently.
Betacoronavirus
;
China
;
Coronavirus Infections
;
diagnosis
;
therapy
;
Humans
;
Machine Learning
;
Pandemics
;
Pneumonia, Viral
;
diagnosis
;
therapy
;
Practice Guidelines as Topic

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