Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy.
Clinical Epidemiology Unit, National Institute for Infectious Disease Lazzaro Spallanzani-IRCCS, Rome, Italy.
J Transl Med. 2021 Jun 26;19(1):272. doi: 10.1186/s12967-021-02938-8.
Recent studies proposed the whole-blood based IFN-γ-release assay to study the antigen-specific SARS-CoV-2 response. Since the early prediction of disease progression could help to assess the optimal treatment strategies, an integrated knowledge of T-cell and antibody response lays the foundation to develop biomarkers monitoring the COVID-19. Whole-blood-platform tests based on the immune response detection to SARS-CoV2 peptides is a new approach to discriminate COVID-19-patients from uninfected-individuals and to evaluate the immunogenicity of vaccine candidates, monitoring the immune response in vaccine trial and supporting the serological diagnostics results. Here, we aimed to identify in the whole-blood-platform the best immunogenic viral antigen and the best immune biomarker to identify COVID-19-patients.
Whole-blood was overnight-stimulated with SARS-CoV-2 peptide pools of nucleoprotein-(NP) Membrane-, ORF3a- and Spike-protein. We evaluated: IL-1β, IL-1Ra, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL- 15, IL-17A, eotaxin, FGF, G-CSF, GM-CSF, IFN-γ, IP-10, MCP-1, MIP-1α, MIP-1β, PDGF, RANTES, TNF-α, VEGF. By a sparse partial least squares discriminant analysis we identified the most important soluble factors discriminating COVID-19- from NO-COVID-19-individuals.
We identified a COVID-19 signature based on six immune factors: IFN-γ, IP-10 and IL-2 induced by Spike; RANTES and IP-10 induced by NP and IL-2 induced by ORF3a. We demonstrated that the test based on IP-10 induced by Spike had the highest AUC (0.85, p < 0.0001) and that the clinical characteristics of the COVID-19-patients did not affect IP-10 production. Finally, we validated the use of IP-10 as biomarker for SARS-CoV2 infection in two additional COVID-19-patients cohorts.
We set-up a whole-blood assay identifying the best antigen to induce a T-cell response and the best biomarkers for SARS-CoV-2 infection evaluating patients with acute COVID-19 and recovered patients. We focused on IP-10, already described as a potential biomarker for other infectious disease such as tuberculosis and HCV. An additional application of this test is the evaluation of immune response in SARS-CoV-2 vaccine trials: the IP-10 detection may define the immunogenicity of a Spike-based vaccine, whereas the immune response to the virus may be evaluated detecting other soluble factors induced by other viral-antigens.
最近的研究提出了全血 IFN-γ 释放试验来研究针对 SARS-CoV-2 的抗原特异性反应。由于早期预测疾病进展有助于评估最佳治疗策略,因此对 T 细胞和抗体反应的综合了解为开发监测 COVID-19 的生物标志物奠定了基础。基于 SARS-CoV-2 肽的免疫反应检测的全血平台检测是一种新方法,可以区分 COVID-19 患者与未感染者,并评估候选疫苗的免疫原性,监测疫苗试验中的免疫反应,并支持血清学诊断结果。在这里,我们旨在全血平台上确定最佳的免疫原性病毒抗原和最佳的免疫生物标志物来识别 COVID-19 患者。
全血在 SARS-CoV-2 核蛋白(NP)膜、ORF3a 和刺突蛋白肽池中过夜刺激。我们评估了:IL-1β、IL-1Ra、IL-2、IL-4、IL-5、IL-6、IL-7、IL-8、IL-9、IL-10、IL-12p70、IL-13、IL-15、IL-17A、嗜酸性粒细胞趋化因子、碱性成纤维细胞生长因子、粒细胞-巨噬细胞集落刺激因子、干扰素-γ、IP-10、单核细胞趋化蛋白-1、巨噬细胞炎性蛋白-1α、巨噬细胞炎性蛋白-1β、血小板衍生生长因子、调节激活正常 T 细胞表达分泌因子、肿瘤坏死因子-α、血管内皮生长因子。通过稀疏偏最小二乘判别分析,我们确定了区分 COVID-19 患者与非 COVID-19 患者的最重要的可溶性因素。
我们确定了基于六个免疫因子的 COVID-19 特征:由 Spike 诱导的 IFN-γ、IP-10 和 IL-2;由 NP 诱导的 RANTES 和 IP-10;由 ORF3a 诱导的 IL-2。我们证明,基于 Spike 诱导的 IP-10 的检测具有最高的 AUC(0.85,p < 0.0001),并且 COVID-19 患者的临床特征并不影响 IP-10 的产生。最后,我们在另外两个 COVID-19 患者队列中验证了 IP-10 作为 SARS-CoV2 感染的生物标志物的用途。
我们建立了一种全血检测方法,确定了诱导 T 细胞反应的最佳抗原和 SARS-CoV-2 感染的最佳生物标志物,用于评估急性 COVID-19 患者和康复患者。我们重点关注 IP-10,它已被描述为结核病和丙型肝炎等其他传染病的潜在生物标志物。该测试的另一个应用是评估 SARS-CoV-2 疫苗试验中的免疫反应:IP-10 的检测可定义基于 Spike 的疫苗的免疫原性,而对病毒的免疫反应可通过检测其他由病毒抗原诱导的可溶性因子来评估。