新型冠状病毒肺炎:实验室检测、治疗及疫苗

新型冠状病毒肺炎（2019 novel coronavirus disease, COVID-19）,一种由动物来源的新型冠状病毒（severe acute respiratory syndrome coronavirus 2, SRAS-CoV-2）感染所致的疾病在全球范围内急速传播,严重的危害人类的健康。快速、准确的诊断,安全有效的治疗方案及疫苗的研发对控制新冠病毒的传播具有重要的意义。为控制新冠病毒的传播,全世界的科学家和研究者投入了极大的精力去开发、研制快速准确的诊断试剂,治疗方案和疫苗,并取得了较大的进展。目前,基于各种检测平台的诊断试剂已在临床实验室应用,多种治疗方案已应用于临床治疗并取得不错的治疗效果。快速准确的样本采集和实验室检测是COVID-19临床治疗及有效控制病毒传染的两大重要支撑。虽然在多种类型的样本中均检测出了新冠病毒,但上呼吸道和下呼吸道样本尤其是鼻咽拭子依旧是目前检测最多的样本类型。随着疫情的发展,大量的基于核酸扩增的分子检测试剂和基于抗原或抗体的快速检测试剂已被研发并商业化获批。目前,实时荧光定量PCR检测依旧是新冠病毒检测最常用的和被认为是“金标准”的方法。虽然较多标签外用药药物和同情治疗方案取得了一定的临床疗效或改善,但目前针对新型冠状病毒肺炎尚无有效的治疗方案。目前在研究中针对新冠病毒的疫苗主要有：灭活或减毒病毒疫苗、基于蛋白质的疫苗、载体疫苗及DNA和RNA疫苗等。在全球,已有47个疫苗进入临床评估阶段,其中,10个疫苗处于临床Ⅲ期试验。本文简要介绍了目前新冠病毒肺炎的实验室诊断、治疗方案及疫苗研制所取得的进展。     

实时荧光定量PCR快速鉴别新型冠状病毒主要变异株北大核心CSCD

为建立一种快速鉴别严重急性呼吸综合征冠状病毒2 (severe acute respiratory syndrome coronavirus 2,SARS-CoV-2)的5种主要变异株的Taq Man探针实时荧光定量PCR(real-time quantitative PCR, RT-qPCR)体系,基于SARS-CoV-2野生型及变异株alpha (N501Y、HV69-70del)、beta (E484K、K417N)、gamma (K417T、V1176F)、delta (L452R、T478K)和omicron (H655Y、N679K、P681H)序列设计特异性引物、探针,建立和优化一种鉴别新型冠状病毒(SARS-CoV-2) 5种主要变异株的Taq Man探针RT-qPCR方法,并进行该方法的特异性、敏感性、鉴别能力评价。该方法可准确区分出SARS-CoV-2野生型和突变型,与其他呼吸道病原体(n=21)无交叉,显示高特异性。该方法最低检测限为2×10;拷贝/mL,操作简单、快速、成本廉价,可用于监测SARS-CoV-2毒株的变异,精准指导疫情识别与防控。     

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.     

Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches

Large-scale serological testing in the population is essential to determine the true extent of the current SARS-CoV-2 pandemic. Serological tests measure antibody responses against pathogens and use predefined cutoff levels that dichotomize the quantitative test measures into sero-positives and negatives and use this as a proxy for past infection. With the imperfect assays that are currently available to test for past SARS-CoV-2 infection, the fraction of seropositive individuals in serosurveys is a biased estimator of the cumulative incidence and is usually corrected to account for the sensitivity and specificity. Here we use an inference method—referred to as mixture-model approach—for the estimation of the cumulative incidence that does not require to define cutoffs by integrating the quantitative test measures directly into the statistical inference procedure. We confirm that the mixture model outperforms the methods based on cutoffs, leading to less bias and error in estimates of the cumulative incidence. We illustrate how the mixture model can be used to optimize the design of serosurveys with imperfect serological tests. We also provide guidance on the number of control and case sera that are required to quantify the test’s ambiguity sufficiently to enable the reliable estimation of the cumulative incidence. Lastly, we show how this approach can be used to estimate the cumulative incidence of classes of infections with an unknown distribution of quantitative test measures. This is a very promising application of the mixture-model approach that could identify the elusive fraction of asymptomatic SARS-CoV-2 infections. An R-package implementing the inference methods used in this paper is provided. Our study advocates using serological tests without cutoffs, especially if they are used to determine parameters characterizing populations rather than individuals. This approach circumvents some of the shortcomings of cutoff-based methods at exactly the low cumulative incidence levels and test accuracies that we are currently facing in SARS-CoV-2 serosurveys.     

COVID-19确诊病例居住环境病毒检测结果分析及防控探讨

新型冠状病毒肺炎(COVID-19)传播速度快、感染范围广,其感染方式主要是聚集性感染,感染途径主要是呼吸道飞沫和接触传播。了解环境中,特别是COVID-19确诊病人生活环境中的病毒存在情况,是做好环境消毒,阻断新型冠状病毒(SARS-CoV-2)传播的重要步骤,对COVID-19防控具有重要意义。本研究旨在探讨COVID-19患者生活环境中SARS-CoV-2的存在情况,从SARS-CoV-2存在的空间部位、病毒核酸含量、消毒效果等方面对SARS-CoV-2的相关特点做出初步研究,为制定有效的SARS-CoV-2防控措施提供科学依据。本研究以COVID-19病例治疗前的3个家庭居住环境和治疗出院后隔离期间的2个宾馆居住环境中采集的样本为研究材料,采用RT-PCR方法检测样本中的SARS-CoV-2核酸并进行比较分析。结果显示,首次从3个家庭环境中采样48份,RTPCR检测SARS-CoV-2核酸阳性5份(10.42%),3个家庭的环境样本中均有阳性样本检出。首次采样48h后在家庭3进行第二次采样16份,SARS-CoV-2核酸检测阳性2份(12.5%),检测Ct值比首次升高。家庭3消毒后24h采集的16份样本SARS-CoV-2核酸检测均为阴性,并且两处宾馆环境采集的24份样本SARS-CoV-2核酸检测也均为阴性。本研究提示,COVID-19病例的生活环境中可以检出SARS-CoV-2,病毒存在区域、存在物品、病毒核酸含量均有差异;对外环境进行消毒可以达到消毒目的,能够起到阻断SARS-CoV-2传播的防控效果。     

Options available for labelling nucleic acid samples in DNA microarray-based detection methods

DNA microarrays are considered by many researchers to be the platform of choice for the high-throughput analysis of nucleic acids. Since the past two decades, they have been used constantly as powerful tools in differential gene expression, SNP genotyping, DNA sequencing, gene discovery, disease diagnostic and pathways reconstruction. Several methods have been developed to enable samples of limited amounts of RNA to be quantified. Here we evaluate classical and up-to-date assays made available for labelling those samples. This review also sheds light on the recently developed strategies that ensure high sensitivity such as sample and signal amplification, quantum dot, surface plasmom resonance, nanoparticles and cationinc polythiophenes.     

Biomarkers for Monitoring Pre-Analytical Quality Variation of mRNA in Blood Samples

There is an increasing need for proper quality control tools in the pre-analytical phase of the molecular diagnostic workflow. The aim of the present study was to identify biomarkers for monitoring pre-analytical mRNA quality variations in two different types of blood collection tubes, K₂EDTA (EDTA) tubes and PAXgene Blood RNA Tubes (PAXgene tubes). These tubes are extensively used both in the diagnostic setting as well as for research biobank samples. Blood specimens collected in the two different blood collection tubes were stored for varying times at different temperatures, and microarray analysis was performed on resultant extracted RNA. A large set of potential mRNA quality biomarkers for monitoring post-phlebotomy gene expression changes and mRNA degradation in blood was identified. qPCR assays for the potential biomarkers and a set of relevant reference genes were generated and used to pre-validate a sub-set of the selected biomarkers. The assay precision of the potential qPCR based biomarkers was determined, and a final validation of the selected quality biomarkers using the developed qPCR assays and blood samples from 60 healthy additional subjects was performed. In total, four mRNA quality biomarkers (USP32, LMNA, FOSB, TNRFSF10C) were successfully validated. We suggest here the use of these blood mRNA quality biomarkers for validating an experimental pre-analytical workflow. These biomarkers were further evaluated in the 2^nd ring trial of the SPIDIA-RNA Program which demonstrated that these biomarkers can be used as quality control tools for mRNA analyses from blood samples.     

Evaluation of urine CCA assays for detection of Schistosoma mansoni infection in Western Kenya

Although accurate assessment of the prevalence of Schistosoma mansoni is important for the design and evaluation of control programs, the most widely used tools for diagnosis are limited by suboptimal sensitivity, slow turn-around-time, or inability to distinguish current from former infections. Recently, two tests that detect circulating cathodic antigen (CCA) in urine of patients with schistosomiasis became commercially available. As part of a larger study on schistosomiasis prevalence in young children, we evaluated the performance and diagnostic accuracy of these tests--the carbon test strip designed for use in the laboratory and the cassette format test intended for field use. In comparison to 6 Kato-Katz exams, the carbon and cassette CCA tests had sensitivities of 88.4% and 94.2% and specificities of 70.9% and 59.4%, respectively. However, because of the known limitations of the Kato-Katz assay, we also utilized latent class analysis (LCA) incorporating the CCA, Kato-Katz, and schistosome-specific antibody results to determine their sensitivities and specificities. The laboratory-based CCA test had a sensitivity of 91.7% and a specificity of 89.4% by LCA while the cassette test had a sensitivity of 96.3% and a specificity of 74.7%. The intensity of the reaction in both urine CCA tests reflected stool egg burden and their performance was not affected by the presence of soil transmitted helminth infections. Our results suggest that urine-based assays for CCA may be valuable in screening for S. mansoni infections.     

Real-time optical analysis of a colorimetric LAMP assay for SARS-CoV-2 in saliva with a handheld instrument improves accuracy compared with endpoint assessment

Controlling the course of the Coronavirus Disease 2019 (COVID-19) pandemic will require widespread deployment of consistent and accurate diagnostic testing of the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Ideally, tests should detect a minimum viral load, be minimally invasive, and provide a rapid and simple readout. Current Food and Drug Administration (FDA)-approved RT-qPCR–based standard diagnostic approaches require invasive nasopharyngeal swabs and involve laboratory-based analyses that can delay results. Recently, a loop-mediated isothermal nucleic acid amplification (LAMP) test that utilizes colorimetric readout received FDA approval. This approach utilizes a pH indicator dye to detect drop in pH from nucleotide hydrolysis during nucleic acid amplification. This method has only been approved for use with RNA extracted from clinical specimens collected via nasopharyngeal swabs. In this study, we developed a quantitative LAMP-based strategy to detect SARS-CoV-2 RNA in saliva. Our detection system distinguished positive from negative sample types using a handheld instrument that monitors optical changes throughout the LAMP reaction. We used this system in a streamlined LAMP testing protocol that could be completed in less than 2 h to directly detect inactivated SARS-CoV-2 in minimally processed saliva that bypassed RNA extraction, with a limit of detection (LOD) of 50 genomes/reaction. The quantitative method correctly detected virus in 100% of contrived clinical samples spiked with inactivated SARS-CoV-2 at either 1× (50 genomes/reaction) or 2× (100 genomes/reaction) of the LOD. Importantly, the quantitative method was based on dynamic optical changes during the reaction and was able to correctly classify samples that were misclassified by endpoint observation of color.