Evidence map›Paper›PMID 39350079›Full record

ArticleBMC infectious diseases2024

Facile quantitative diagnostic testing for neutralizing antibodies against Chikungunya virus.

Hui-Chung Lin, Shu-Fen Chang, Chien-Ling Su, Huai-Chin Hu, Der-Jiang Chiao, Yu-Lin Hsu, Hsuan-Ying Lu, Chang-Chi Lin, Pei-Yun Shu, Szu-Cheng Kuo

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hui-Chung Lin *Institute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan.
Shu-Fen Chang *Center for Diagnostics and Vaccine Development, Centers for Disease Control, Ministry of Health and Welfare, Taipei, 11561, Taiwan.
Chien-Ling SuCenter for Diagnostics and Vaccine Development, Centers for Disease Control, Ministry of Health and Welfare, Taipei, 11561, Taiwan.
Huai-Chin HuCenter for Diagnostics and Vaccine Development, Centers for Disease Control, Ministry of Health and Welfare, Taipei, 11561, Taiwan.
Der-Jiang ChiaoInstitute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan.
Yu-Lin HsuInstitute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan.
Hsuan-Ying LuInstitute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan.
Chang-Chi LinInstitute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan.
Pei-Yun ShuCenter for Diagnostics and Vaccine Development, Centers for Disease Control, Ministry of Health and Welfare, Taipei, 11561, Taiwan. bilitislin@gmail.com.
Szu-Cheng KuoInstitute of Preventive Medicine, National Defense Medical Center, 237010 No. 172, Dapu Rd., Sanxia Dist, Taipei, 11490, Taiwan. szucheng1234@gmail.com.

Funding

Medical Affairs Bureau, TAIWAN MND-MAB-D-111081National Defense Medical Center 110-G7-4National Defense Medical Center 111-P-12National Health Research Institutes NHRI-11A1-MRCO-08222201National Science and Technology Council NSTC 113-2327-B-016-001
6 · The paper itself

Abstract

backgroundViral neutralization (NT) assays can be used to determine the immune status of patients or assess the potency of candidate vaccines or therapeutic monoclonal antibodies (mAbs). Focus reduction neutralization test (FRNT) is a conventional neutralization test (cVNT) with superior specificity for measurement of neutralizing antibodies against a specific virus. Unfortunately, the application of FRNT to the chikungunya virus (CHIKV) involves a highly pathogenic bio-agent requiring biosafety level 3 (BSL3) facilities, which inevitably imposes high costs and limits accessibility. In this study, we evaluated a safe surrogate virus neutralization test (sVNT) that uses novel CHIKV replicon particles (VRPs) expressing eGFP and luciferase (Luc) to enable the rapid detection and quantification of neutralizing activity in clinical human serum samples.

methodsThis unmatched case-control validation study used serum samples from laboratory-confirmed cases of CHIKV (n = 19), dengue virus (DENV; n = 9), Japanese encephalitis virus (JEV; n = 5), and normal individuals (n = 20). We evaluated the effectiveness of sVNT, based on mosquito cell-derived CHIK VRPs (mos-CHIK VRPs), in detecting (eGFP) and quantifying (Luc) neutralizing activity, considering specificity, sensitivity, and reproducibility. We conducted correlation analysis between the proposed rapid method (20 h) versus FRNT assay (72 h). We also investigated the correlation between sVNT and FRNT in NT titrations in terms of Pearson's correlation coefficient (r) and sigmoidal curve fitting.

resultsIn NT screening assays, sVNT-eGFP screening achieved sensitivity and specificity of 100%. In quantitative neutralization assays, we observed a Pearson's correlation coefficient of 0.83 for NT50 values between sVNT-Luc and FRNT.

conclusionsFacile VRP-based sVNT within 24 h proved highly reliable in the identification and quantification of neutralizing activity against CHIKV in clinical serum samples.

Indexed as

Antibodies, NeutralizingAntibodies, ViralChikungunya FeverChikungunya virusNeutralization TestsAnimalsCase-Control StudiesHumansSensitivity and SpecificityAntibodies, NeutralizingAntibodies, ViralChikungunya virusDiagnosticsNeutralizing antibodiesSurrogate virus neutralization testSurveillanceVaccineVirus-like replicon particle

Identifiers

PMID39350079
PMCPMC11440707

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.