优化临床试验应用中的临床样本 SARS-CoV-2 培养。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY mSphere Pub Date : 2024-11-21 Epub Date: 2024-10-16 DOI:10.1128/msphere.00304-24
Dominic Wooding, Kate Buist, Alessandra Romero-Ramirez, Helen Savage, Rachel Watkins, Daisy Bengey, Caitlin Greenland-Bews, Caitlin R Thompson, Nadia Kontogianni, Richard Body, Gail Hayward, Rachel L Byrne, Susan Gould, Christopher Myerscough, Barry Atkinson, Victoria Shaw, Bill Greenhalf, Emily Adams, Ana Cubas-Atienzar, Saye Khoo, Tom Fletcher, Thomas Edwards
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引用次数: 0

摘要

严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)疗法的临床试验通常包括病毒学次要终点,以比较治疗组和安慰剂组之间的病毒清除率和病毒载量降低情况。这种方法通常使用定量反转录酶 PCR (RT-qPCR),但这种方法不能区分有复制能力的病毒与无复制能力的病毒或游离 RNA,因此限制了其作为终点的效用。目前已有基于培养的 SARS-CoV-2 检测方法,但这些方法作为临床试验终点的灵敏度往往不高,标准化程度也很低。我们报告了基于培养的方法的优化情况,评估了三种细胞系、三种检测方法和关键培养参数。我们发现,将 Vero-angiotensin-converting enzyme 2-transmembrane serine protease 2 细胞与第一通道培养上清液的 RT-qPCR 结合使用,能最大程度地检测 Delta 病毒复制(32 例中的 22 例,68.8%),并能在 83.3%(24 例中的 20 例)初始 Ct 值为 Importance 的临床样本中鉴定出存活病毒:RT-qPCR 通常用于抗病毒疗法临床试验中的病毒学终点,以确定样本中病毒的数量和存在情况。但是,RT-qPCR 只能确定病毒 RNA,不能确定是否存在有活力的病毒。现有的基于培养的 SARS-CoV-2 技术灵敏度不高,而且不够标准化,无法用作临床研究终点。使用培养系统监控病毒复制可减少分子技术从非活性或裂解的病毒颗粒中识别病毒 RNA 的可能性。本研究中优化的检测传染性病毒的方法可作为二级病毒学终点应用于 SARS-CoV-2 疗法的临床试验,此外还可应用于许多研究过程。
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Optimization of SARS-CoV-2 culture from clinical samples for clinical trial applications.

Clinical trials of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) therapeutics often include virological secondary endpoints to compare viral clearance and viral load reduction between treatment and placebo arms. This is typically achieved using quantitative reverse-transcriptase PCR (RT-qPCR), which cannot differentiate replicant competent virus from non-viable virus or free RNA, limiting its utility as an endpoint. Culture-based methods for SARS-CoV-2 exist; however, these are often insensitive and poorly standardized for use as clinical trial endpoints. We report optimization of a culture-based approach evaluating three cell lines, three detection methods, and key culture parameters. We show that Vero-angiotensin-converting enzyme 2-transmembrane serine protease 2 cells in combination with RT-qPCR of culture supernatants from the first passage provides the greatest overall detection of Delta viral replication (22 of 32, 68.8%), being able to identify viable virus in 83.3% (20 of 24) of clinical samples with initial Ct values of <30. Likewise, we demonstrate that RT-qPCR using culture supernatants from the first passage of Vero human signaling lymphocytic activation molecule cells provides the highest overall detection of Omicron viral replication (9 of 31, 29%), detecting live virus in 39.1% (9 of 23) of clinical samples with initial Ct values of <25. This assessment demonstrates that combining RT-qPCR with virological endpoint analysis has utility in clinical trials of therapeutics for SARS-CoV-2; however, techniques may require optimization based on dominant circulating strain.

Importance: RT-qPCR is commonly used for virological endpoints during clinical trials for antiviral therapy to determine the quantity and presence of virus in a sample. However, RT-qPCR identifies viral RNA and cannot determine if viable virus is present. Existing culture-based techniques for SARS-CoV-2 are insensitive and not sufficiently standardized to be employed as clinical study endpoints. The use of a culture system to monitor replicating viruses could mitigate the possibility of molecular techniques identifying viral RNA from inactive or lysed viral particles. The methodology optimized in this study for detecting infectious viruses may have application as a secondary virological endpoint in clinical trials of therapeutics for SARS-CoV-2 in addition to numerous research processes.

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来源期刊
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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