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根据感染前后中和抗体滴度推断登革热病毒感染的血清型。

Inferring the serotype associated with dengue virus infections on the basis of pre- and postinfection neutralizing antibody titers.

机构信息

Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.

出版信息

J Infect Dis. 2010 Oct 1;202(7):1002-10. doi: 10.1086/656141.

Abstract

BACKGROUND

Currently, the only tests capable of determining the serotype associated with dengue virus (DENV) infection require sampling during the period of acute viremia. No test can accurately detect the serotype associated with past DENV infections. The standard assay for determination of serotype-specific antibody against DENV is the plaque reduction neutralization test (PRNT), although performance of this test continues to be evaluated.

METHODS

From a cohort study among schoolchildren in Thailand, PRNT values were determined in serum samples collected before and after infection. A multinomial logistic regression model was used to infer the serotype associated with intercurrent DENV infections. Models were validated based on polymerase chain reaction identification of DENV serotypes.

RESULTS

The serotype associated with DENV infection inferred by the model corresponded with polymerase chain reaction in 67.6% of cases, and the kappa statistic was 0.479. A model for 35 cases with primary seroconversion correctly identified the DENV serotypes causing infection in 77.1% of cases, compared with 66.9%, using a model for 169 cases with secondary seroconversion. The best model using only postinfection PRNT values correctly inferred the DENV serotype causing infection in 60.3% of cases.

CONCLUSIONS

A statistical model based on both pre- and postinfection PRNT values can be used to infer the serotype associated with DENV infections in prospective studies and vaccine trials.

摘要

背景

目前,唯一能够确定登革热病毒 (DENV) 感染相关血清型的检测需要在急性病毒血症期间进行采样。没有检测能够准确地检测出过去感染的 DENV 相关血清型。针对 DENV 特异性抗体的检测标准方法是噬斑减少中和试验 (PRNT),尽管该检测方法的性能仍在不断评估中。

方法

从泰国学童的队列研究中,在感染前后采集血清样本,测定 PRNT 值。使用多项逻辑回归模型推断与 DENV 并发感染相关的血清型。根据聚合酶链反应 (PCR) 鉴定 DENV 血清型对模型进行验证。

结果

模型推断的与 DENV 感染相关的血清型与 PCR 结果一致,卡帕统计量为 0.479。对于 35 例原发性血清转换的病例,使用仅针对感染后 PRNT 值的模型,与使用针对 169 例继发性血清转换的模型相比,正确识别引起感染的 DENV 血清型的比例为 77.1%,而不是 66.9%。仅使用感染后 PRNT 值的最佳模型正确推断出 60.3%的感染相关 DENV 血清型。

结论

基于感染前后 PRNT 值的统计模型可用于推断前瞻性研究和疫苗试验中与 DENV 感染相关的血清型。

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