Clinical and Genetic Characteristics of Coronaviruses with Particular Emphasis on SARS-CoV-2 Virus

The rapidly spreading Coronavirus Disease 2019 (COVID-19) pandemic has led to a global health crisis and has left a deep mark on society, culture, and the global economy. Despite considerable efforts made to contain the disease, SARS-CoV-2 still poses a threat on a global scale. The current epidemiological situation caused an urgent need to understand the basic mechanisms of the virus transmission and COVID-19 severe course. This review summarizes current knowledge on clinical courses, diagnostics, treatment, and prevention of COVID-19. Moreover, we have included the latest research results on the genetic characterization of SARS-CoV-2 and genetic determinants of susceptibility and severity to infection.     

Toward low-cost affinity reagents: lyophilized yeast-scFv probes specific for pathogen antigens

The generation of affinity reagents, usually monoclonal antibodies, remains a critical bottleneck in biomedical research and diagnostic test development. Recombinant antibody-like proteins such as scFv have yet to replace traditional monoclonal antibodies in antigen detection applications, in large part because of poor performance of scFv in solution. To address this limitation, we have developed assays that use whole yeast cells expressing scFv on their surfaces (yeast-scFv) in place of soluble purified scFv or traditional monoclonal antibodies. In this study, a nonimmune library of human scFv displayed on the surfaces of yeast cells was screened for clones that bind to recombinant cyst proteins of Entamoeba histolytica, an enteric pathogen of humans. Selected yeast-scFv clones were stabilized by lyophilization and used in detection assay formats in which the yeast-scFv served as solid support-bound monoclonal antibodies. Specific binding of antigen to the yeast-scFv was detected by staining with rabbit polyclonal antibodies. In flow cytometry-based assays, lyophilized yeast-scFv reagents retained full binding activity and specificity for their cognate antigens after 4 weeks of storage at room temperature in the absence of desiccants or stabilizers. Because flow cytometry is not available to all potential assay users, an immunofluorescence assay was also developed that detects antigen with similar sensitivity and specificity. Antigen-specific whole-cell yeast-scFv reagents can be selected from nonimmune libraries in 2-3 weeks, produced in vast quantities, and packaged in lyophilized form for extended shelf life. Lyophilized yeast-scFv show promise as low cost, renewable alternatives to monoclonal antibodies for diagnosis and research.     

新型冠状病毒抗原快速检测研发现状及展望*

新型冠状病毒肺炎疫情的全球大流行,对全球公共健康、社会和经济运转造成了重大影响。在药物研发迟滞及疫苗有效性未得到充分验证的情况下,对人群进行大规模的快速筛查,寻找潜在的感染者(尤其是轻症和无症状患者),并进行集中隔离,切断传播途径和保护易感人群是首要的任务。因此对于SARS-CoV-2感染,早期诊断尤为重要。总结现有市场上的新冠病毒抗原快速检测产品,对全球抗原快速检测市场进行分析,概述其研发的动向并展望了我国在新冠抗原检测新方法、新技术方面的自主创新能力。     

Amplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy

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Multi-objective Bayesian algorithm automatically discovers low-cost high-growth serum-free media for cellular agriculture application

In this work, we applied a multi-information source modeling technique to solve a multi-objective Bayesian optimization problem involving the simultaneous minimization of cost and maximization of growth for serum-free C2C12 cells using a hyper-volume improvement acquisition function. In sequential batches of custom media experiments designed using our Bayesian criteria, collected using multiple assays targeting different cellular growth dynamics, the algorithm learned to identify the trade-off relationship between long-term growth and cost. We were able to identify several media with $>100\%$ more growth of C2C12 cells than the control, as well as a medium with 23% more growth at only 62.5% of the cost of the control. These algorithmically generated media also maintained growth far past the study period, indicating the modeling approach approximates the cell growth well from an extremely limited data set.     

A组轮状病毒可视化RT-LAMP方法的建立

【目的】建立一种利用颜色判定的快速、简单、灵敏度高的检测方法,即可视化的逆转录环介导等温扩增(RT-LAMP)方法,并应用于人A组轮状病毒的基因检测。【方法】针对A组轮状病毒VP6基因的6个保守区域设计4条特异性引物,在64 °C恒温条件下进行核酸扩增反应1 h,在扩增前加入染料钙黄绿素(Calcein)作为反应指示剂,以钙黄绿素的颜色变化作为结果判定标准。评价该方法的特异性和灵敏度,并同时利用RT-LAMP和RT-PCR两种方法对90份临床腹泻样本中的病毒核酸进行检测。【结果】RT-LAMP方法特异性较高,灵敏度可以达到103 copies/μL RNA分子水平,比RT-PCR高出100倍。对临床标本的检出率与RT-PCR方法相当。【结论】建立的RT-LAMP法灵敏度较高,特异性强,节省时间,结果可视化,具有野外检测和现场快速检测的潜力。     

新型冠状病毒纳米PCR快速检测方法的建立

新型冠状病毒(SARS-CoV-2)感染可导致致命性肺炎,且极具传染性。自2019年年末在我国出现以来,已在全球蔓延。为了建立一种灵敏、快速检测SARS-CoV-2的分子检测方法,本研究使用金纳米颗粒配合普通PCR检测方法,针对SARS-CoV-2核衣壳蛋白建立了SARS-CoV-2 NanoPCR新型分子检测方法。特异性结果显示,该方法对猪流行性腹泻病毒、牛冠状病毒、犬冠状病毒、水貂冠状病毒、猫传染性腹膜炎病毒均无交叉反应,表明该方法的特异性良好。敏感性结果显示,该方法的最低检测量为3.69×10⁴拷贝/μL,高于普通PCR最低检测量10倍,表明该方法的敏感性良好。使用建立的方法对3份临床样品进行检测,该方法与普通PCR方法结果一致,10倍稀释样品后,NanoPCR相比较普通PCR条带仍然具有较高辨识度。综上,本研究建立的灵敏、特异的NanoPCR方法可以对临床样品进行快速诊断和鉴定。     

DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution

Deconvolution is an essential step of image processing that aims to compensate for the image blur caused by the microscope's point spread function. With many existing deconvolution methods, it is challenging to choose the method and its parameters most appropriate for particular image data at hand. To facilitate this task, we developed DeconvTest: an open‐source Python‐based framework for generating synthetic microscopy images, deconvolving them with different algorithms, and quantifying reconstruction errors. In contrast to existing software, DeconvTest combines all components required to analyze deconvolution performance in a systematic, high‐throughput and quantitative manner. We demonstrate the power of the framework by using it to identify the optimal deconvolution settings for synthetic and real image data. Based on this, we provide a guideline for (a) choosing optimal values of deconvolution parameters for image data at hand and (b) optimizing imaging conditions for best results in combination with subsequent image deconvolution.     

A2B-COVID: A Tool for Rapidly Evaluating Potential SARS-CoV-2 Transmission Events

Identifying linked cases of infection is a critical component of the public health response to viral infectious diseases. In a clinical context, there is a need to make rapid assessments of whether cases of infection have arrived independently onto a ward, or are potentially linked via direct transmission. Viral genome sequence data are of great value in making these assessments, but are often not the only form of data available. Here, we describe A2B-COVID, a method for the rapid identification of potentially linked cases of COVID-19 infection designed for clinical settings. Our method combines knowledge about infection dynamics, data describing the movements of individuals, and evolutionary analysis of genome sequences to assess whether data collected from cases of infection are consistent or inconsistent with linkage via direct transmission. A retrospective analysis of data from two wards at Cambridge University Hospitals NHS Foundation Trust during the first wave of the pandemic showed qualitatively different patterns of linkage between cases on designated COVID-19 and non-COVID-19 wards. The subsequent real-time application of our method to data from the second epidemic wave highlights its value for monitoring cases of infection in a clinical context.     

Structural basis of SARS-CoV-2 and its variants binding to intermediate horseshoe bat ACE2

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a global pandemic. Intermediate horseshoe bats (Rhinolophus affinis) are hosts of RaTG13, the second most phylogenetically related viruses to SARS-CoV-2. We report the binding between intermediate horseshoe bat ACE2 (bACE2-Ra) and SARS-CoV-2 receptor-binding domain (RBD), supporting the pseudotyped SARS-CoV-2 viral infection. A 3.3 Å resolution crystal structure of the bACE2-Ra/SARS-CoV-2 RBD complex was determined. The interaction networks of Patch 1 showed differences in R34 and E35 of bACE2-Ra compared to hACE2 and big-eared horseshoe bat ACE2 (bACE2-Rm). The E35K substitution, existing in other species, significantly enhanced the binding affinity owing to its electrostatic attraction with E484 of SARS-CoV-2 RBD. Furthermore, bACE2-Ra showed extensive support for the SARS-CoV-2 variants. These results broaden our knowledge of the ACE2/RBD interaction mechanism and emphasize the importance of continued surveillance of intermediate horseshoe bats to prevent spillover risk.     

A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees

The vast scale of SARS-CoV-2 sequencing data has made it increasingly challenging to comprehensively analyze all available data using existing tools and file formats. To address this, we present a database of SARS-CoV-2 phylogenetic trees inferred with unrestricted public sequences, which we update daily to incorporate new sequences. Our database uses the recently proposed mutation-annotated tree (MAT) format to efficiently encode the tree with branches labeled with parsimony-inferred mutations, as well as Nextstrain clade and Pango lineage labels at clade roots. As of June 9, 2021, our SARS-CoV-2 MAT consists of 834,521 sequences and provides a comprehensive view of the virus’ evolutionary history using public data. We also present matUtils—a command-line utility for rapidly querying, interpreting, and manipulating the MATs. Our daily-updated SARS-CoV-2 MAT database and matUtils software are available at http://hgdownload.soe.ucsc.edu/goldenPath/wuhCor1/UShER_SARS-CoV-2/ and https://github.com/yatisht/usher, respectively.     

Humoral Immunity against SARS-CoV-2 and the Impact on COVID-19 Pathogenesis

It has been more than a year since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) first emerged. Many studies have provided insights into the various aspects of the immune response in coronavirus disease 2019 (COVID-19). Especially for antibody treatment and vaccine development, humoral immunity to SARS-CoV-2 has been studied extensively, though there is still much that is unknown and controversial. Here, we introduce key discoveries on the humoral immune responses in COVID-19, including the immune dynamics of antibody responses and correlations with disease severity, neutralizing antibodies and their cross-reactivity, how long the antibody and memory B-cell responses last, aberrant autoreactive antibodies generated in COVID-19 patients, and the efficacy of currently available therapeutic antibodies and vaccines against circulating SARS-CoV-2 variants, and highlight gaps in the current knowledge.     

新型冠状病毒相关靶点小分子抑制剂虚拟筛选

为确定治疗新型冠状病毒(SARS-CoV-2)感染的候选药物,开展了针对SARS-CoV-2的药物虚拟筛选研究。以SARS-CoV-2的刺突蛋白(S蛋白)和3CL蛋白酶(主蛋白酶)作为药物靶点,以美国食品药品监督管理局(FDA)批准上市的2 726个小分子药物作为候选,通过分子对接方法,筛选出了3种(阿巴瑞克(Abarelix)、西曲瑞克(Cetrorelix)、鞣酸(Tannic acid))与S蛋白具有较强结合能力的小分子药物,1种(戈舍瑞林(Goserelin))与3CL蛋白酶具有较好结合能力的小分子药物,它们理论上都具有抑制新型冠状病毒复制的效果。将靶向3CL蛋白酶的候选药物与辉瑞公司开发的药物Paxlovid进行比较,发现其作用位点均集中于3CL蛋白酶的第130-200位的残基周围,具有相似的结合位点与相互作用。此外也对候选药物的物理与化学性质及与基因相互作用进行了分析。本研究可为开发新型冠状病毒感染的治疗药物提供参考。     

Iron nitrosyl complexes as models for biological nitric oxide transfer reagents

Owing to the indiscriminate reactivity of the free NO radical, intricate control mechanisms are required for storage, transport and transfer of NO to its various biological targets. Among the proposed storage components are protein-bound thionitrosyls (R_protein–SNO) and protein-bound dinitrosyl iron complexes. Current knowledge suggests the latter are derived from iron–sulfur cluster degradation in the presence of excess NO. Mobilization of protein-bound NO could involve NO or Fe(NO)₂ unit transfer to small serum molecules such as glutathione, free cysteine, or iron-porphyrins. The study reported is of a reaction model which addresses the key steps in NO transfer from a prototypal iron dinitrosyl complex. While the N,N′-bis(2-mercaptoethyl)-N,N′-diazacyclooctane (bme-daco) ligand typically binds in square-planar N₂S₂ coordination, it also serves as a bidentate dithiolate donor for tetrahedral structures in the preparation of the (H⁺bme-daco)Fe(NO)₂ derivative (Chiang et al., J. Am. Chem. Soc. 126:10867–10874, 2004). The removal of one NO produces the mononitrosyl complex, (bme-daco)Fe(NO), and simplifies studies of NO release mechanisms. We have used heme-type model complexes, Fe or Co porphyrins as NO acceptors, yielding (porphyrin)M(NO), where M is Fe or Co, and monitored reactions by ν(NO) Fourier transform IR spectroscopy. Reaction products were verified by electrospray ionization mass spectrometry. Rudimentary mechanistic studies suggest a role for HNO in the NO release from the dinitrosyl; the mononitrosyl benefits as well from acid catalysis. Other NO uptake complexes such as [(N₂S₂)Fe]₂ [N₂S₂ is bme-daco or N,N’-bis(2-mercapto-2-methylpropyl)-daco] are shown to form Fe(NO) mononitrosyls with stability and spectroscopic signatures similar to those of the porphyrins.     

Recent biotechnological tools for diagnosis of corona virus disease: A review

Recently, a corona virus disease (COVID-19) caused by a novel corona virus (sevier acute respiratory syndrome corona virus 2; SARS-CoV-2), rapidly spread throughout the world. It has been resulted an unprecedented public health crisis and has become a global threat. WHO declared it as a pandemic due to rapid transmission and severity of the disease. According to WHO, as of 22nd of August 2020, the disease spread over 213 countries of the world having 22,812,491 confirmed cases and 795,132 deaths recorded worldwide. In the absence of suitable antiviral drugs and vaccines, the current pandemic has created an urgent need for accurate diagnostic tools that would be helpful for early detection of the patients. Many tests including classical and high-throughput techniques have developed and obtained U.S. Food and drug administration (FDA) approval. However, efforts are being made to develop new diagnostic tools for detection of the disease. Several molecular diagnostic tests such as real-time-polymerase chain reaction, real-time isothermal loop-mediated amplification (RT-LAMP), full genome analysis by next-generation sequencing, clustered regularly interspaced short palindromic repeats technique and microarray-based assays along with other techniques such as computed tomography scan, biomarkers, biosensor, nanotechnology, serological test, enzyme-linked immunosorbent assay (ELISA), isolation of viral strain in cell culture are currently available for diagnosis of COVID-19 infection. This review provides a brief overview of promising high-throughput techniques currently used for detection of SARS-CoV-2, along with their scope and limitations that may be used for effective control of the disease.