2056 10 20655 https://www.socictopen.socict.org/files/original/315756929b0a90b4786a01cbab8b0d12.pdf ffc7bb6f9bef19c22491b4a2f867acb7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Localization of Cell Receptor-Related Genes of SARS-CoV-2 in the Kidney through Single-Cell Transcriptome Analysis Creator An entity primarily responsible for making the resource Zhi-Hong Liu, Jiaqi Li, Yue Lang, Guoji Guo, Qilin Chen, Zhi-Dan Xiang Description An account of the resource Background: The new coronavirus (SARS-CoV-2), which has been responsible for the recent coronavirus disease 2019 (COVID-19) pandemic, uses the cell receptor angiotensin converting enzyme-2 (ACE2) for entry and the serine protease TMPRSS2 for spike (S) protein priming. Meanwhile, the presence of B0AT1 (SLC6A19) may prevent TMPRSS2 from accessing the cutting position on ACE2. Identifying the expression of these cell receptor-related genes of SARS-CoV-2 is critical for understanding the pathogenesis of SARS-CoV-2 in various tissues, especially in the kidney. Methods: The single-cell transcription datasets of the human cell landscape (HCL) and other relevant single-cell transcription databases were used to analyze the expression of ACE2, TMPRSS2, and SLC6A19 in various organs and tissues, but mainly in the kidney. Results: ACE2 was significantly expressed in the S1, S2, and S3 segments of proximal tubule (PT) cells. TMPRSS2 was widely expressed in several renal tubule populations extending from the PT cells to the collection system cell type, of which intercalated cells and the distal convoluted tubule cells showed more significant expression than PT cells. Unexpectedly, although expressed on various renal tubule populations, SLC6A19 was mainly enriched in PT cells, in line with ACE2 expression. Although alveolar-type (AT) 2 cells of the lung and intestinal epithelial cells expressed ACE2 as well as PT cells, AT 2 cells significantly expressed TMPRSS2 but not SLC6A19, while all 3 genes were significantly expressed in intestinal epithelial cells. Conclusions: ACE2 was widely expressed in specific cell subgroups of various human tissues, especially in intestinal epithelial cells, kidney PT cells, and also AT 2 cells of the lung. These 3 types of cells demonstrated significant differences in the distribution of the cell receptor-related genes of SARS-CoV-2, which may indicate the diversity of cell surface structures and differences in the affinity between SARS-CoV-2 and cells. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Angiotensin converting enzyme-2, single-cell transcriptome sequencing, Proximal tubule cells, SARS-CoV-2 Identifier An unambiguous reference to the resource within a given context DOI: 10.1159/000508162 Source A related resource from which the described resource is derived Kidney Diseases Publisher An entity responsible for making the resource available Karger Publishers Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Internal medicine https://www.socictopen.socict.org/files/original/689e5cf458fd53a86ea56e76452f6cbb.pdf a5d12513b836b03579c33eb96ac185bb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences Creator An entity primarily responsible for making the resource Zhichang Liu, Dun Deng, Huijie Lu, Jian Sun, Luchao Lv, Shuhong Li, Guanghui Peng, Xian-Yong Ma, Jiazhou Li, Zhenming Li, Ting Rong, Gang Wang Description An account of the resource Antimicrobial resistance (AMR) is becoming a huge problem in countries all over the world, and new approaches to identifying strains resistant or susceptible to certain antibiotics are essential in fighting against antibiotic-resistant pathogens. Genotype-based machine learning methods showed great promise as a diagnostic tool, due to the increasing availability of genomic datasets and AST phenotypes. In this article, Support Vector Machine (SVM) and Set Covering Machine (SCM) models were used to learn and predict the resistance of the five drugs (Tetracycline, Ampicillin, Sulfisoxazole, Trimethoprim, and Enrofloxacin). The SVM model used the number of co-occurring k-mers between the genome of the isolates and the reference genes to learn and predict the phenotypes of the bacteria to a specific antimicrobial, while the SCM model uses a greedy approach to construct conjunction or disjunction of Boolean functions to find the most concise set of k-mers that allows for accurate prediction of the phenotype. Five-fold cross-validation was performed on the training set of the SVM and SCM model to select the best hyperparameter values to avoid model overfitting. The training accuracy (mean cross-validation score) and the testing accuracy of SVM and SCM models of five drugs were above 90% regardless of the resistant mechanism of which were acquired resistant or point mutation in the chromosome. The results of correlation between the phenotype and the model predictions of the five drugs indicated that both SVM and SCM models could significantly classify the resistant isolates from the sensitive isolates of the bacteria (p < 0.01), and would be used as potential tools in antimicrobial resistance surveillance and clinical diagnosis in veterinary medicine. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource machine learning, Support vector machine, Set Covering Machine, antimicrobial resistance, Actinobacillus pleuropneumoniae, Genomics Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmicb.2020.00048 Source A related resource from which the described resource is derived Frontiers in Microbiology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/643b8bf1da02e55e874aec27cd8e339d.pdf 059aba1ebced5f6fb16a60169ab764e2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Porcine enteric alphacoronavirus Inhibits IFN-α, IFN-β, OAS, Mx1, and PKR mRNA Expression in Infected Peyer's Patches in vivo Creator An entity primarily responsible for making the resource Zhichao Xu, Lang Gong, Peng Peng, Yufang Liu, Chunyi Xue, Yongchang Cao Description An account of the resource Porcine enteric alphacoronavirus (PEAV) is a newly identified swine enteropathogenic coronavirus that causes watery diarrhea in neonatal piglets. The pathogenesis and host immune responses of PEAV infection are not fully characterized. The reason lies in the stomach environment, which would degrade cell-cultured live viruses via oral infection, making it difficult to establish an effective infection model to study the pathogenesis and host immune responses in pigs with a mature immune system. To solve this problem, in this study, coated PEAV-loaded microspheres were developed by centrifugal granulation-fluidized bed coating and demonstrated as an effective oral delivery system/animal infection model to protect PEAV virion against the complex gastrointestinal environment in vitro and to cause infection in weaned piglets in vivo. Weaned piglets orally inoculated with coated PEAV-loaded microspheres developed diarrhea and virus RNA was detected in rectal swabs from one to seven days post inoculation. In addition, microscopic lesions in the small intestine were observed, and viral antigens were also detected in the small intestines with PEAV immunohistochemical staining. Importantly, PEAV significantly inhibited mRNA expression of IFN-α, IFN-β, OAS, Mx1, and PKR, the genes involved in modulation of the host immune responses, in infected Peyer's patches, indicating that PEAV can overcome the antiviral response to cause damage when infection occurs. Collectively, our research successfully established a PEAV animal infection model in weaned piglets and suggested that the observed gene expression profile might help explain immunological changes associated with PEAV infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource pathogenesis, Antiviral response, Weaned Piglets, Peyer's patches, coated Porcine enteric alphacoronavirus (PEAV)-loaded microspheres Identifier An unambiguous reference to the resource within a given context 10.3389/fvets.2020.00449 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Veterinary medicine https://www.socictopen.socict.org/files/original/c108417a9d1155e64d960052bd87e4c0.pdf aeaaf10534e1b38fb8a390f3caa9ef40 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mechanisms for substance use disorders in COVID-19. Creator An entity primarily responsible for making the resource Zhicheng Lin Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41380-021-01041-0 Source A related resource from which the described resource is derived Molecular psychiatry https://www.socictopen.socict.org/files/original/bc50e4af33efa3f49bea8c813eb5f799.pdf e13086c18656a11778dfa736092a5b27 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hunting for vital nodes in complex networks using local information Creator An entity primarily responsible for making the resource Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu Description An account of the resource Abstract Complex networks in the real world are often with heterogeneous degree distributions. The structure and function of nodes can vary significantly, with vital nodes playing a crucial role in information spread and other spreading phenomena. Identifying and taking action on vital nodes enables change to the network’s structure and function more efficiently. Previous work either redefines metrics used to measure the nodes’ importance or focuses on developing algorithms to efficiently find vital nodes. These approaches typically rely on global knowledge of the network and assume that the structure of the network does not change over time, both of which are difficult to achieve in the real world. In this paper, we propose a localized strategy that can find vital nodes without global knowledge of the network. Our joint nomination (JN) strategy selects a random set of nodes along with a set of nodes connected to those nodes, and together they nominate the vital node set. Experiments are conducted on 12 network datasets that include synthetic and real-world networks, and undirected and directed networks. Results show that average degree of the identified node set is about 3–8 times higher than that of the full node set, and higher-degree nodes take larger proportions in the degree distribution of the identified vital node set. Removal of vital nodes increases the average shortest path length by 20–70% over the original network, or about 8–15% longer than the other decentralized strategies. Immunization based on JN is more efficient than other strategies, consuming around 12–40% less immunization resources to raise the epidemic threshold to $$\tau \sim 0.1$$ τ ∼ 0.1 . Susceptible-infected-recovered simulations on networks with 30% vital nodes removed using JN delays the arrival time of infection peak significantly and reduce the total infection scale to 15%. The proposed strategy can effectively identify vital nodes using only local information and is feasible to implement in the real world to cope with time-critical scenarios such as the sudden outbreak of COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41598-021-88692-9 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine https://www.socictopen.socict.org/files/original/b0c72eb8f0a727aee5af28e14ce73e0d.pdf f9aea762ff394d0806e93e8b5d13e751 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions Creator An entity primarily responsible for making the resource Zhihua Liu, Pierre Magal, Ousmane Seydi, Glenn Webb Description An account of the resource We develop a mathematical model to provide epidemic predictions for the COVID-19 epidemic in Wuhan, China. We use reported case data up to 31 January 2020 from the Chinese Center for Disease Control and Prevention and the Wuhan Municipal Health Commission to parameterize the model. From the parameterized model, we identify the number of unreported cases. We then use the model to project the epidemic forward with varying levels of public health interventions. The model predictions emphasize the importance of major public health interventions in controlling COVID-19 epidemics. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, reported and unreported cases, isolation, quarantine, public closings, epidemic mathematical model Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/biology9030050 Source A related resource from which the described resource is derived Biology Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) Language A language of the resource EN https://www.socictopen.socict.org/files/original/70221c1c546ef6a601f482522afc1945.pdf e9f3fae7b9403794d20141f7da19c01b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reconstitution and functional characterization of SARS-CoV-2 proofreading complex. Creator An entity primarily responsible for making the resource Zhijun Ma, Yasin Pourfarjam, In-Kwon Kim Description An account of the resource The novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2 or COVID-19) has led to a world-wild pandemic. The replication of SARS-CoV-2 RNA genome involves the core replication-transcription complex (RTC, nsp12-nsp7-nsp8) and the proofreading complex (nsp14-nsp10) that can correct mismatched base pairs during replication. Structures and functions of SARS-CoV-2 RTC have been actively studied, yet little is known about SARS-CoV-2 nsp14-nsp10. Here, we purified, reconstituted, and characterized the SARS-CoV-2 nsp14-nsp10 proofreading nuclease in vitro. We show that SARS-CoV-2 nsp14 is activated by nsp10, functioning as a potent RNase that can hydrolyze RNAs in the context of single- and double-stranded RNA and RNA/DNA hybrid duplex. SARS-CoV-2 nsp14-nsp10 shows a metal-dependent nuclease activity but has different metal selectivity from RTC. While RTC is activated by Ca2+, nsp14-nsp10 is completely inhibited. Importantly, the reconstituted SARS-CoV-2 nsp14-nsp10 efficiently removed the A:A mismatch at the 3'-end of the primer, enabling the stalled RTC to restart RNA replication. Our collective results confirm that SARS-CoV-2 nsp14-nsp10 functions as the RNA proofreading complex in SARS-CoV-2 replication and provide a useful foundation to understand the structure and function of SARS-CoV-2 RNA metabolism. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SARS-CoV-2, proofreading, RNA replication, nsp14, nsp10 Identifier An unambiguous reference to the resource within a given context 10.1016/j.pep.2021.105894 Source A related resource from which the described resource is derived Protein expression and purification https://www.socictopen.socict.org/files/original/8a65c11561722e87b329930edd1e9fe2.pdf 8da722ff3d46f0224526b419a6a113d6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Risk Identification and Responses of Tunnel Construction Management during the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Zhimin Wang, Zixiao Liu, Junyan Liu Description An account of the resource The COVID-19 pandemic has brought about significant influences to the world, including tunnel construction. Based on the analysis of 12 tunnel construction projects, this paper identifies the specific risk factors related to the COVID-19 pandemic, e.g., men, materials, machines, methods, social environment, and political epidemic prevention pressure. Among these risk factors, worker availability, site accessibility, shortage of construction materials, and inadequate epidemic prevention materials caused by the lockdown policy are the most fundamental challenges encountered by the projects. Social panic and epidemic prevention policy requirements are key issues needed to be addressed before the resumption of construction work. The special circumstances caused by the COVID-19 pandemic called for flexible project management and coordination skills to raise suitable and effective response strategies, while local governments make substantial contributions in solving the difficulties. Although these measures have resulted in higher project costs, their effectiveness in catching up with project schedules is worthy of recognition. The findings of this study enrich the risk categories of tunnel construction and the risk response strategies from the perspective of a global pandemic. It implies that future construction schemes including design, budget, supply chain, and project management should consider the possible influence of an epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1155/2020/6620539 Source A related resource from which the described resource is derived Advances in Civil Engineering Publisher An entity responsible for making the resource available Hindawi Limited Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General) https://www.socictopen.socict.org/files/original/a31ed995cba7eb34bd0beab1edf3ba7b.pdf 7dd49a6168f05a065923b75e4cd6f0df Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cyanobacteria—From the Oceans to the Potential Biotechnological and Biomedical Applications Creator An entity primarily responsible for making the resource Zhiming Guo, Ming Du, Mohamed M. Abdel-DAIM, Shaden A. M. Khalifa, Eslam S. Shedid, Essa M. Saied, Amir Reza Jassbi, Fatemeh H. Jamebozorgi, Mostafa Rateb, Guo-Yin Kai, Montaser A. M. M. Al-Hammady, Jianbo Xiao, Hesham R. El-Seedi Description An account of the resource Cyanobacteria are photosynthetic prokaryotic organisms which represent a significant source of novel, bioactive, secondary metabolites, and they are also considered an abundant source of bioactive compounds/drugs, such as dolastatin, cryptophycin 1, curacin toyocamycin, phytoalexin, cyanovirin-N and phycocyanin. Some of these compounds have displayed promising results in successful Phase I, II, III and IV clinical trials. Additionally, the cyanobacterial compounds applied to medical research have demonstrated an exciting future with great potential to be developed into new medicines. Most of these compounds have exhibited strong pharmacological activities, including neurotoxicity, cytotoxicity and antiviral activity against HCMV, HSV-1, HHV-6 and HIV-1, so these metabolites could be promising candidates for COVID-19 treatment. Therefore, the effective large-scale production of natural marine products through synthesis is important for resolving the existing issues associated with chemical isolation, including small yields, and may be necessary to better investigate their biological activities. Herein, we highlight the total synthesized and stereochemical determinations of the cyanobacterial bioactive compounds. Furthermore, this review primarily focuses on the biotechnological applications of cyanobacteria, including applications as cosmetics, food supplements, and the nanobiotechnological applications of cyanobacterial bioactive compounds in potential medicinal applications for various human diseases are discussed. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource antiviral, covid-19, Clinical trials, antioxidant, dietary supplements, cyanobacteria Identifier An unambiguous reference to the resource within a given context 10.3390/md19050241 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) https://www.socictopen.socict.org/files/original/be07c0f571ce54d7b7554159d740e2bd.pdf 244f69672c03eb0d1078e3664b20e329 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Case Report: Clinical Treatment of the First Critical Patient With Coronavirus Disease (COVID-19) in Liaocheng, Shandong Province Creator An entity primarily responsible for making the resource Zhiping Xu, Hui Tian, Tie-Jun Wu, Huang He, Suochen Tian, Xiuli Zou, Yuanda Sui Description An account of the resource This paper reports the clinical characteristics, diagnosis, and treatment of the first critical COVID-19 patient in Liaocheng City, who was admitted to the intensive care unit isolation ward of Liaocheng People's Hospital on February 11, 2020. On admission, the patient had difficulty breathing, the oxygenation index was 135 mmHg, and the blood lactate was 5.6 mmol/L. After comprehensive treatment including high-flow nasal cannula oxygen therapy, plasma exchange, antiviral and anti-infection therapies, immune regulation, liquid volume management, glucocorticoid, enteral nutrition support, analgesia and sedation, blood glucose control, anticoagulation and thrombus prevention, and electrolyte balance maintenance, the patient was finally cured, and discharged. The purpose of this case report is to provide a reference for the clinical diagnosis and treatment of critical COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource plasma exchange, high flow nasal cannula, clinical characteristics, COVID-19, critical COVID-19 patient, clinical diagnosis and treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmed.2020.00249 Source A related resource from which the described resource is derived Frontiers in Medicine Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General)