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用于检测抗卡奇谷病毒人IgM的诊断性IgM抗体捕获酶联免疫吸附测定法的开发

Development of a Diagnostic IgM Antibody Capture ELISA for Detection of Anti-Cache Valley Virus Human IgM.

作者信息

Goodman Christin, Powers Jordan A, Mikula Sierra R, Hughes Holly R, Biggerstaff Brad J, Fitzpatrick Kelly, Panella Amanda J, Machain-Williams Carlos, Lee SeungHwan, Calvert Amanda E

机构信息

Division of Vector-Borne Diseases, U.S. Centers for Disease Control and Prevention, Fort Collins, Colorado.

Unidad Profesional Interdisciplinaria de Ingeniería Palenque (UPIIP), Instituto Politécnico Nacional, Palenque, Mexico.

出版信息

Am J Trop Med Hyg. 2024 Nov 19;112(2):386-395. doi: 10.4269/ajtmh.24-0360. Print 2025 Feb 5.

DOI:10.4269/ajtmh.24-0360
PMID:39561397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11803673/
Abstract

Cache Valley virus (CVV), a mosquito-borne orthobunyavirus, causes epizootics in ruminants characterized by congenital malformations and fetal death in North America. Only seven human infections have been identified; limited information exists on its potential as a human teratogen. Diagnosis of CVV infections relies on the plaque reduction neutralization test (PRNT), which requires live virus, is time-consuming, and cannot differentiate between recent and past infections. To improve diagnostics for CVV, we developed an IgM antibody capture ELISA (MAC-ELISA) for detection of anti-CVV human IgM in diagnostic specimens that can be performed faster than PRNT and is specific to IgM, which is essential to determine the timing of infection. Conjointly, a cell line constitutively expressing human-murine chimeric antibody with the variable regions of monoclonal antibody CVV-17 and constant regions of human IgM was developed to provide positive control material. The new cell line produced antibody with reactivity in the assay equivalent to that of a human serum sample positive for anti-CVV IgM. Five of seven archived human specimens diagnostically confirmed as CVV positive tested positive in the MAC-ELISA, whereas 44 specimens confirmed positive for another arboviral infection tested negative, showing good initial correlation of the CVV MAC-ELISA. Two of 27 previously collected serum samples from febrile patients in Yucatán, Mexico, who tested negative for a recent flaviviral or alphaviral infection were positive in both the MAC-ELISA and PRNT, indicating a possible recent infection with CVV or related orthobunyavirus. The MAC-ELISA described here will aid in making diagnostics more widely available for CVV in public health laboratories.

摘要

卡奇谷病毒(CVV)是一种由蚊子传播的正布尼亚病毒,在北美可引起反刍动物的流行病,其特征为先天性畸形和胎儿死亡。目前仅确认了7例人类感染病例;关于其作为人类致畸原的潜力,现有信息有限。CVV感染的诊断依赖于蚀斑减少中和试验(PRNT),该试验需要活病毒,耗时较长,且无法区分近期感染和既往感染。为了改进CVV的诊断方法,我们开发了一种IgM抗体捕获酶联免疫吸附测定法(MAC-ELISA),用于检测诊断标本中的抗CVV人类IgM,该方法比PRNT执行速度更快,且对IgM具有特异性,这对于确定感染时间至关重要。同时,构建了一种组成型表达人鼠嵌合抗体的细胞系,其具有单克隆抗体CVV-17的可变区和人IgM的恒定区,用于提供阳性对照材料。新细胞系产生的抗体在检测中的反应性与人血清样本中抗CVV IgM阳性的反应性相当。7份经诊断确认为CVV阳性的存档人类标本中有5份在MAC-ELISA检测中呈阳性,而44份经确认另一种虫媒病毒感染阳性的标本检测为阴性,表明CVV MAC-ELISA具有良好的初步相关性。在墨西哥尤卡坦半岛,从近期黄病毒或甲病毒感染检测为阴性的发热患者中收集的27份先前血清样本中,有2份在MAC-ELISA和PRNT检测中均呈阳性,这表明可能近期感染了CVV或相关正布尼亚病毒。本文所述的MAC-ELISA将有助于在公共卫生实验室更广泛地开展CVV诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/d0a6515264a4/ajtmh.24-0360f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/fc1bbe14f534/ajtmh.24-0360f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/0121a60a0430/ajtmh.24-0360f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/d0a6515264a4/ajtmh.24-0360f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/fc1bbe14f534/ajtmh.24-0360f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/0121a60a0430/ajtmh.24-0360f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e4/11803673/d0a6515264a4/ajtmh.24-0360f3.jpg

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J Med Entomol. 2023 Nov 14;60(6):1230-1241. doi: 10.1093/jme/tjad058.
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Characterization of a monoclonal antibody specific to California serogroup orthobunyaviruses and development as a chimeric immunoglobulin M-positive control in human diagnostics.鉴定针对加利福尼亚血清型正布尼亚病毒的单克隆抗体,并将其开发为人类诊断中的嵌合免疫球蛋白 M 阳性对照物。
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Clin Infect Dis. 2023 Feb 8;76(3):e1320-e1327. doi: 10.1093/cid/ciac566.
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