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一种超高密度蛋白质微阵列,用于高通量单级莱姆病血清学检测。

An ultra-high-density protein microarray for high throughput single-tier serological detection of Lyme disease.

机构信息

Vibrant Sciences LLC., San Carlos, CA, USA.

Vibrant America LLC., San Carlos, CA, USA.

出版信息

Sci Rep. 2020 Oct 22;10(1):18085. doi: 10.1038/s41598-020-75036-2.

Abstract

Current serological immunoassays have inherent limitations for certain infectious diseases such as Lyme disease, a bacterial infection caused by Borrelia burgdorferi in North America. Here we report a novel method of manufacturing high-density multiplexed protein microarrays with the capacity to detect low levels of antibodies accurately from small blood volumes in a fully automated system. A panel of multiple serological markers for Lyme disease are measured using a protein microarray system, Lyme Immunochip, in a single step but interpreted adhering to the standard two-tiered testing algorithm (enzyme immunoassay followed by Western blot). Furthermore, an enhanced IgM assay was supplemented to improve the test's detection sensitivity for early Lyme disease. With a training cohort (n = 40) and a blinded validation cohort (n = 90) acquired from CDC, the Lyme Immunochip identified a higher proportion of Lyme disease patients than the two-tiered testing (82.4% vs 70.6% in the training set, 66.7% vs 60.0% in the validation set, respectively). Additionally, the Immunochip improved sensitivity to 100% while having a lower specificity of 95.2% using a set of investigational antigens which are being further evaluated with a large cohort of blinded samples from the CDC and Columbia University. This universal microarray platform provides an unprecedented opportunity to resolve a broad range of issues with diagnostic tests, including multiplexing, workflow simplicity, and reduced turnaround time and cost.

摘要

当前的血清学免疫分析方法对于某些传染病(如莱姆病)存在固有局限性,莱姆病是由伯氏疏螺旋体引起的一种细菌性感染,发生于北美洲。在此,我们报告了一种新颖的制造高密度多重蛋白微阵列的方法,该方法能够在全自动系统中从小量血液中准确检测到低水平的抗体。采用蛋白微阵列系统(莱姆免疫芯片),在单个步骤中测量莱姆病的多个血清学标志物,同时遵循标准的两阶段测试算法(酶免疫测定 followed by Western blot)进行解释。此外,还补充了增强的 IgM 检测,以提高该检测方法对早期莱姆病的检测灵敏度。通过从 CDC 获得的训练队列(n=40)和盲法验证队列(n=90),莱姆免疫芯片比两阶段测试方法识别出了更高比例的莱姆病患者(在训练组中分别为 82.4% vs 70.6%,在验证组中分别为 66.7% vs 60.0%)。此外,该免疫芯片使用一组正在进一步评估的研究性抗原,将灵敏度提高到了 100%,而特异性为 95.2%,在使用 CDC 和哥伦比亚大学的大量盲样进行进一步评估之前,该免疫芯片为解决诊断测试中的一系列问题提供了前所未有的机会,包括多重检测、工作流程简单化、缩短周转时间和降低成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4efd/7581523/cca34c58ef8f/41598_2020_75036_Fig1_HTML.jpg

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