Sensitivity of anti-filarial antibodies for lymphatic filariasis surveillance: Insights from a serological survey in Samoa in 2018.

IF 3.4 2区 医学 Q1 PARASITOLOGY PLoS Neglected Tropical Diseases Pub Date : 2025-01-30 eCollection Date: 2025-01-01 DOI:10.1371/journal.pntd.0012835
Harriet L S Lawford, Benn Sartorius, Helen J Mayfield, Filipina Amosa-Lei Sam, Satupaitea Viali, Tito Kamu, Robert Thomsen, Colleen L Lau
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Abstract

Background: Sensitive diagnostic tools that signal lymphatic filariasis (LF) transmission are needed to monitor the progress of LF elimination programs. Anti-filarial antibody (Ab) markers could be more sensitive than antigen (Ag) point-of-care tests for monitoring LF transmission in some settings. This study aimed to investigate the sensitivity of anti-filarial Abs for detecting signals of LF transmission in Samoa by i) investigating the sensitivity and specificity of Ab to identify Ag-positives; ii) estimating the average number needed to test (NNTestav) to identify LF-seropositives (seropositive for Ag and/or any Ab), and iii) compare the efficiency of the different serological indicators by target age group and sampling design.

Methods: A community-based serological survey of participants aged ≥5 years was conducted 1.5-3.5 months following the first round of triple-drug mass drug administration in Samoa in 2018, covering 35 primary sampling units (PSUs) (30 randomly selected and five purposively selected 'suspected hotspots'). Ag-positivity was detected using Alere Filariasis Test Strips, and Ab-seropositivity (Bm14, Wb123, Bm33 Abs) were measured using multiplex bead assays. Seroprevalence was adjusted for study design and standardised for age and gender. NNTestav was calculated using the formula 1/p, where p was the adjusted seroprevalence for each subgroup.

Results: Of 3795 participants (mean age: 20.7; 51.2% female), 1892 (49.9%) were LF-seropositive. If Ag alone was used to identify LF-seropositives, only 5% (117/1892) would be identified. Of the three Ab seromarkers, Bm14 Ab had the highest area under the Receiver-Operating Characteristic Curve ([ROC]=0.88) to classify participants as Ag-positive, followed by Wb123 Ab (ROC=0.83) and Bm33 Ab (ROC=0.76). Participants aged ≥10 years had lower NNTestav compared to participants aged 5-9 years for all seromarkers. NNTestav was lower in purposively versus randomly selected PSUs.

Conclusions: All Ab seromarkers had high ROC values to classify patients as Ag-positive and may be useful tools for LF surveillance in some settings. However, further research is required to fully understand how best Ab serosurveillance can be incorporated into LF elimination programmes.

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抗丝虫病抗体对淋巴丝虫病监测的敏感性:2018年萨摩亚血清学调查的见解
背景:需要敏感的淋巴丝虫病(LF)传播信号诊断工具来监测LF消除计划的进展。在某些情况下,抗丝虫病抗体(Ab)标记物可能比抗原(Ag)护理点检测更敏感,用于监测LF传播。本研究旨在通过以下方法探讨抗丝虫抗体在萨摩亚检测LF传播信号的敏感性:(1)研究抗体识别ag阳性的敏感性和特异性;ii)估计确定lf血清阳性(Ag和/或任何Ab血清阳性)所需检测的平均数量(NNTestav),以及iii)按目标年龄组和抽样设计比较不同血清学指标的效率。方法:在2018年萨摩亚第一轮三联药大规模给药后1.5-3.5个月,对年龄≥5岁的参与者进行社区血清学调查,覆盖35个主要抽样单位(随机选择30个,有目的选择5个“疑似热点”)。采用Alere丝虫病试纸检测血清抗体阳性,采用多重头法检测血清抗体阳性(Bm14、Wb123、Bm33)。血清患病率根据研究设计进行调整,并根据年龄和性别进行标准化。NNTestav使用公式1/p计算,其中p为每个亚组调整后的血清患病率。结果:3795名参与者(平均年龄:20.7岁;女性51.2%),lf血清阳性1892例(49.9%)。如果单独使用Ag来鉴定lf血清阳性,则只能鉴定出5%(117/1892)。在3种抗体血清标志物中,Bm14抗体在受试者工作特征曲线下面积最大([ROC]=0.88),将受试者分类为ag阳性,其次是Wb123抗体(ROC=0.83)和Bm33抗体(ROC=0.76)。与5-9岁的参与者相比,年龄≥10岁的参与者的所有血清标志物的NNTestav较低。与随机选择的psu相比,故意选择的psu的NNTestav较低。结论:所有的Ab血清标记物都具有较高的ROC值,可以将患者分类为ag阳性,并且在某些情况下可能是LF监测的有用工具。然而,需要进一步的研究来充分了解如何将最佳的血清监测纳入LF消除规划。
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PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases PARASITOLOGY-TROPICAL MEDICINE
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10.50%
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期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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