Department of Biomedical Engineering, Columbia University, New York, New York, USA.
Immuno Technologies Inc., Memphis, Tennessee, USA.
J Clin Microbiol. 2019 Nov 22;57(12). doi: 10.1128/JCM.01142-19. Print 2019 Dec.
Single multiplexed assays could replace the standard 2-tiered (STT) algorithm recommended for the laboratory diagnosis of Lyme disease if they perform with a specificity and a sensitivity superior or equal to those of the STT algorithm. We used human serum rigorously characterized to be sera from patients with acute- and convalescent-phase early Lyme disease, Lyme arthritis, and posttreatment Lyme disease syndrome, as well as the necessary controls ( = 241 samples), to select the best of 12 proteins to improve our microfluidic assay (mChip-Ld). We then evaluated its serodiagnostic performance in comparison to that of a first-tier enzyme immunoassay and the STT algorithm. We observed that more antigens became positive as Lyme disease progressed from early to late stages. We selected three antigens (3Ag) to include in the mChip-Ld: VlsE and a proprietary synthetic 33-mer peptide (PepVF) to capture sensitivity in all disease stages and OspC for early Lyme disease. With the specificity set at 95%, the sensitivity of the mChip-Ld with 3Ag ranged from 80% (95% confidence interval [CI], 56% to 94%) and 85% (95% CI, 74% to 96%) for two panels of serum from patients with early Lyme disease and was 100% (95% CI, 83% to 100%) for serum from patients with Lyme arthritis; the STT algorithm detected early Lyme disease in the same two panels of serum from patients with early Lyme disease with a sensitivity of 48.5% and 75% and Lyme arthritis in serum from patients with Lyme arthritis with a sensitivity of 100%, and the specificity was 97.5% to 100%. The mChip-Ld platform outperformed the STT algorithm according to sensitivity. These results open the door for the development of a single, rapid, multiplexed diagnostic test for point-of-care use that can be designed to identify the Lyme disease stage.
如果单重多重分析能够达到与 STT 算法相同或更高的特异性和敏感性,那么它们就可以替代目前推荐用于莱姆病实验室诊断的标准两重(STT)算法。我们使用经过严格鉴定的人血清,这些血清来自处于早期莱姆病急性和恢复期、莱姆关节炎和治疗后莱姆病综合征的患者,以及必要的对照( = 241 个样本),来选择最好的 12 种蛋白质,以改进我们的微流控分析(mChip-Ld)。然后,我们将其血清诊断性能与第一重酶免疫分析和 STT 算法进行了比较。我们观察到,随着莱姆病从早期进展到晚期,更多的抗原呈阳性。我们选择了三种抗原(3Ag)包含在 mChip-Ld 中:VlsE 和专有的合成 33 肽(PepVF),以捕获所有疾病阶段的敏感性,以及 OspC 用于早期莱姆病。在特异性设置为 95%的情况下,mChip-Ld 与 3Ag 的灵敏度范围为 80%(95%置信区间 [CI],56%至 94%)和 85%(95%CI,74%至 96%),用于来自早期莱姆病患者的两个血清组,而来自莱姆关节炎患者的血清则为 100%(95%CI,83%至 100%);STT 算法在来自早期莱姆病患者的相同两个血清组中检测到早期莱姆病的灵敏度为 48.5%和 75%,在莱姆关节炎患者的血清中检测到莱姆关节炎的灵敏度为 100%,特异性为 97.5%至 100%。根据灵敏度,mChip-Ld 平台优于 STT 算法。这些结果为开发一种用于即时护理的单一、快速、多重诊断测试打开了大门,该测试可设计用于识别莱姆病阶段。