商用ELISA与体外毒素中和法测定人血清白喉抗毒素的评价与验证。

IF 2.4 4区 医学 Q3 MICROBIOLOGY
Noriko Kitamura, Akira Endo, Lien T Le, Trieu B Nguyen, Hung T Do, Michiko Toizumi, Lay-Myint Yoshida, Yoshio Mori, Samuel Rose, Androulla Efstratiou, Norman K Fry, David Litt
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引用次数: 0

摘要

介绍。白喉是一种可能危及生命的感染,在许多低收入和中等收入国家仍然流行。需要一种可靠、低成本的血清调查方法来准确估计控制白喉的人群免疫力。假设/差距语句。当ELISA值为-1时,白喉毒素中和试验(TNT)金标准值与ELISA检测白喉类毒素的结果相关性较差,导致ELISA检测抗体水平时对人群易感程度的估计不准确。目的:探讨ELISA抗类毒素结果准确预测人群免疫和tnt来源的抗毒素效价的方法。用在越南采集的96份配对血清和干血斑(DBS)样本进行TNT和ELISA的比较。以受试者工作特征曲线(ROC)下面积(AUC)等参数评价ELISA法对TNT的诊断准确性。通过ROC分析确定最佳的ELISA临界值分别为TNT临界值0.01和0.1 IU ml-1。在仅包含ELISA结果的数据集中,还应用了基于多重imputation方法的方法来估计TNT测量值。然后将这两种方法应用于先前在越南进行的一项血清调查中510名受试者的ELISA结果。与TNT相比,ELISA对DBS样品的诊断效果较好。与0.01 IU ml-1 TNT临界值对应的ELISA检测临界值在血清样品中为0.060 IU ml-1,在DBS样品中为0.044 IU ml-1。当对510名受试者的血清调查数据采用0.06 IU ml-1的临界值时,54%的人群被认为是易感人群(-1)。基于多重假设的方法估计35%的人群易感。这些比例远高于原ELISA测定的敏感比例。通过TNT联合ROC分析或多重归算方法检测血清子集有助于调整ELISA阈值或值,以更准确地评估人群易感性。DBS是未来白喉血清学研究中一种有效的低成本替代血清的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and validation of a commercial ELISA versus the in vitro toxin neutralization assay for determination of diphtheria anti-toxin in human serum.

Introduction. Diphtheria is a potentially life-threatening infection and remains endemic in many low- and middle-income countries (LMICs). A reliable, low-cost method for serosurveys in LMICs is warranted to estimate the accurate population immunity to control diphtheria.Hypothesis/Gap Statement. The correlation between the ELISA results against diphtheria toxoid and the gold standard diphtheria toxin neutralization test (TNT) values is poor when ELISA values are <0.1 IU ml-1, which results in inaccurate estimates of susceptibility in populations when ELISA is used for measuring antibody levels.Aim. To explore methods to accurately predict population immunity and TNT-derived anti-toxin titres from ELISA anti-toxoid results.Methodology. A total of 96 paired serum and dried blood spot (DBS) samples collected in Vietnam were used for comparison of TNT and ELISA. The diagnostic accuracy of ELISA measurement with reference to TNT was assessed by area under the receiver operating characteristic (ROC) curve (AUC) and other parameters. Optimal ELISA cut-off values corresponding to TNT cut-off values of 0.01 and 0.1 IU ml-1 were identified by ROC analysis. A method based on the multiple imputation approach was also applied to estimate TNT measurements in a dataset that only included ELISA results. These two approaches were then applied to ELISA results previously generated from 510 subjects in a serosurvey in Vietnam.Results. The ELISA results on DBS samples showed a good diagnostic performance compared to TNT. The cut-off values for ELISA measurement corresponding to the TNT cut-off values of 0.01 IU ml-1 were 0.060 IU ml-1 in serum samples, and 0.044 IU ml-1 in DBS samples. When a cut-off value of 0.06 IU ml-1 was applied to the 510 subject serosurvey data, 54 % of the population were considered susceptible (<0.01 IU ml-1). The multiple imputation-based approach estimated that 35 % of the population were susceptible. These proportions were much larger than the susceptible proportion estimated by the original ELISA measurements.Conclusion. Testing a subset of sera by TNT combined with ROC analysis or a multiple imputation approach helps to adjust ELISA thresholds or values to assess population susceptibility more accurately. DBS is an effective low-cost alternative to serum for future serological studies for diphtheria.

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来源期刊
Journal of medical microbiology
Journal of medical microbiology 医学-微生物学
CiteScore
5.50
自引率
3.30%
发文量
143
审稿时长
4.5 months
期刊介绍: Journal of Medical Microbiology provides comprehensive coverage of medical, dental and veterinary microbiology, and infectious diseases. We welcome everything from laboratory research to clinical trials, including bacteriology, virology, mycology and parasitology. We publish articles under the following subject categories: Antimicrobial resistance; Clinical microbiology; Disease, diagnosis and diagnostics; Medical mycology; Molecular and microbial epidemiology; Microbiome and microbial ecology in health; One Health; Pathogenesis, virulence and host response; Prevention, therapy and therapeutics
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