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用于登革热感染诊断的肽类生物标志物。

Peptide Biomarkers for the Diagnosis of Dengue Infection.

机构信息

Department of Biomedical Sciences, Unit of Virology, Institute of Tropical Medicine, Antwerp, Belgium.

Virology Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.

出版信息

Front Immunol. 2022 Jan 26;13:793882. doi: 10.3389/fimmu.2022.793882. eCollection 2022.

Abstract

In a world with an increasing population at risk of exposure to arthropod-borne flaviviruses, access to timely and accurate diagnostic tests would impact profoundly on the management of cases. Twenty peptides previously identified using a flavivirus proteome-wide microarray were evaluated to determine their discriminatory potential to detect dengue virus (DENV) infection. This included nine peptides recognized by IgM antibodies (PM peptides) and 11 peptides recognized by IgG antibodies (PG peptides). A bead-based multiplex peptide immunoassay (MPIA) using the Luminex technology was set-up to determine Ab binding levels to each of these peptides in a panel of 323 carefully selected human serum samples. Sera are derived from individuals either infected with different viruses, namely, the four DENV serotypes, Zika virus (ZIKV), yellow fever virus (YFV), chikungunya virus (CHIKV), West Nile virus (WNV) and Human immunodeficiency virus (HIV), or receiving vaccination against YFV, tick-borne encephalitis (TBEV), and Japanese encephalitis virus (JEV). Additionally, a set of healthy controls were included. We targeted a minimum specificity of 80% for all the analysis. The PG-9 peptide had the best sensitivity (73%) when testing DENV sera from acute patients (A-DENV; <8 days since symptom onset). With sera from convalescent DENV patients (C-DENV; >10 days since symptom onset) the FPG-1 peptide was the best seromarker with a sensitivity of 86%. When combining all A-DENV and C-DENV samples, peptides PM-22 and FPG-1 had the best-diagnostic performance with a sensitivity of 60 and 61.1%, and areas under the curve (AUC) of 0.7865 and 0.8131, respectively. A Random forest (RF) algorithm was used to select the best combination of peptides to classify DENV infection at a targeted specificity >80%. The best RF model for PM peptides that included A-DENV and C-DENV samples, reached a sensitivity of 72.3%, while for PG peptides, the best RF models for A-DENV only, C-DENV only and A-DENV + C-DENV reached a sensitivity of 88.9%, 89.1%, and 88.3%, respectively. In conclusion, the combination of multiple peptides constitutes a founding set of seromarkers for the discrimination of DENV infected individuals from other flavivirus infections.

摘要

在一个面临越来越多节肢动物传播的黄病毒暴露风险的世界里,获得及时、准确的诊断检测将对病例管理产生深远影响。我们评估了之前使用黄病毒蛋白质组全谱微阵列鉴定的 20 种肽,以确定它们检测登革热病毒(DENV)感染的鉴别潜力。这包括 9 种被 IgM 抗体识别的肽(PM 肽)和 11 种被 IgG 抗体识别的肽(PG 肽)。我们建立了一种基于珠子的多重肽免疫分析(MPIA),使用 Luminex 技术,以确定在 323 个精心选择的人类血清样本中,每个肽的 Ab 结合水平。血清来自感染不同病毒的个体,即四种 DENV 血清型、寨卡病毒(ZIKV)、黄热病病毒(YFV)、基孔肯雅热病毒(CHIKV)、西尼罗河病毒(WNV)和人类免疫缺陷病毒(HIV),或接受 YFV、蜱传脑炎(TBEV)和日本脑炎病毒(JEV)的疫苗接种。此外,还包括一组健康对照。我们将所有分析的最低特异性目标定为 80%。PG-9 肽在检测急性登革热患者(A-DENV;症状发作后<8 天)的血清时具有最佳的敏感性(73%)。对于恢复期登革热患者(C-DENV;症状发作后>10 天)的血清,FPG-1 肽是最佳的血清标志物,敏感性为 86%。当结合所有 A-DENV 和 C-DENV 样本时,PM-22 和 FPG-1 肽具有最佳的诊断性能,敏感性分别为 60%和 61.1%,曲线下面积(AUC)分别为 0.7865 和 0.8131。随机森林(RF)算法用于选择最佳的肽组合,以在目标特异性>80%的情况下对 DENV 感染进行分类。包括 A-DENV 和 C-DENV 样本的 PM 肽的最佳 RF 模型,敏感性达到 72.3%,而对于 PG 肽,仅针对 A-DENV、C-DENV 和 A-DENV+C-DENV 的最佳 RF 模型,敏感性分别达到 88.9%、89.1%和 88.3%。总之,多种肽的组合构成了鉴别登革热病毒感染个体与其他黄病毒感染个体的一组血清标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f919/8826428/9092acec3027/fimmu-13-793882-g001.jpg

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