Characterisation of the Biomolecular Signature of COVID-19 in Human Adult and Children Blood through Label-free Raman Spectroscopy

通过无标记拉曼光谱表征成人和儿童血液中 COVID-19 的生物分子特征

• 批准号: 555121-2020
• 负责人: Dehaes, Mathieu
• 金额: $ 3.64万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705777
• 关键词: Characterisation; Biomolecular; Signature; COVID; 19

Currently, we do not know the proportion of asymptomatic COVID-19 carriers because only the most severe cases are tested. In parallel, the virus also appears to be indolent in children. These carriers can have a high viral load and symptoms often only appear within the second week after the disease onset, which highlights the need for a rapid screening tool. The only available tool to screen for infections is PCR tests of swabs that were put in the nose. However, these tests are not meant for mass population as they are costly, require significant quantities of medical materials, and take up 2h to obtain results. Currently, there is an urgent need to develop a robust, label-free (no need of contrast agent) screening technique that allows for rapid diagnosis. To address this need, we propose to develop a novel screening test based on label-free Raman spectroscopy coupled with machine learning technology to study the biomolecular signature of the virus in blood from both children and adults. This work will occur in collaboration with ODS Medical (our industrial partner), which has extensive expertise in the development of Raman spectroscopy for cancer detection. Raman spectroscopy is an emerging optical technique to detect and identify biomolecules. Previously, Raman spectroscopy was used to study the respiratory syncytial virus and changes in blood from patients with Dengue or Malaria fever. We hypothesize that human has a specific signature of COVID-19 and that our novel technique is capable to identify these biomolecular changes in a label-free approach. This project will elucidate the Raman biomolecular signature of blood from human infected with SARS-CoV-2, allowing the development of new methods to characterize biofluids through learning models. As Raman spectroscopy acquisition takes seconds to minutes and is low-cost, its potential for rapid-screening could allow control of virus spread, particularly if there is more than one wave with more mutations.

目前，我们不知道无症状COVID-19携带者的比例，因为只有最严重的病例才接受检测。与此同时，该病毒在儿童中似乎也是惰性的。这些携带者可能具有高病毒载量，症状通常仅在疾病发作后的第二周内出现，这突出了对快速筛查工具的需求。唯一可用的工具来筛选感染是PCR测试拭子放在鼻子里。然而，这些测试并不适用于大规模人群，因为它们成本高昂，需要大量的医疗材料，并且需要2小时才能获得结果。目前，迫切需要开发一种强大的，无标记（不需要造影剂）的筛选技术，允许快速诊断。 为了满足这一需求，我们建议开发一种基于无标记拉曼光谱与机器学习技术相结合的新型筛选测试，以研究儿童和成人血液中病毒的生物分子特征。这项工作将与ODS Medical（我们的工业合作伙伴）合作进行，ODS Medical在癌症检测的拉曼光谱开发方面拥有丰富的专业知识。拉曼光谱是一种新兴的光学技术，用于检测和识别生物分子。以前，拉曼光谱用于研究呼吸道合胞病毒和登革热或疟疾患者血液中的变化。我们假设人类具有COVID-19的特异性特征，并且我们的新技术能够以无标记方法识别这些生物分子变化。 该项目将阐明SARS-CoV-2感染者血液的拉曼生物分子特征，从而开发通过学习模型表征生物流体的新方法。由于拉曼光谱采集需要几秒钟到几分钟的时间，而且成本低，因此其快速筛查的潜力可以控制病毒传播，特别是如果有多个波具有更多突变的话。