Development and Evaluation of a New Measles Detection Assay Using Real-Time RT-PCR

The severity of MeV infection has been greatly reduced by the development of a live attenuated vaccine, which has been incorporated into vaccination programs in many countries. However, poor access to health facilities, and above all, the increase in anti-vaccination movements, has prevented the achievement of sufficient vaccination coverage. In outbreak scenarios, a rapid and transportable method can improve differential diagnosis, including removing ambiguity in suspected measles cases, contacts, or a cohort. In response to the need, we have developed a new RT-qPCR-based MeV detection assay. The LOD of the developed assay was determined on different PCR machines and the higher threshold was 1-1.2 10<sup>3</sup> copies/mL. The joint diagnostic sensitivity of ELISA and RT-PCR (used together) was 100%, and used combinedly, these two methods enable detection of all measles-infected persons, which is extremely important for controlling contagion and spread of infection. During the clinical validation of the assay on 200 clinical samples from measles-suspected cases using ELISA, 157 samples showed a positive result, while 163 positive cases were confirmed by the RT-qPCR assay. The concordance between the two techniques was 93%. According to our results, the real-time RT-PCR approach used in our study is more sensitive and appears to be a more promising method for measles diagnosis during early stages of the disease, likely before the rise of specific IgM antibodies detected by ELISA.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-02-20
DOI
https://doi.org/10.3390/ijms26051801
Citations
4
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
5.42
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article

Development and Evaluation of a New Measles Detection Assay Using Real-Time RT-PCR

Anna S. Gladkikh, Vladimir G. Dedkov, Edward S. Ramsay, N. V. Zheleznova et al.
4 citations
International Journal of Molecular Sciences
Virology and Viral Diseases
5.42
article

Development and Evaluation of a New Measles Detection Assay Using Real-Time RT-PCR

Anna S. Gladkikh, Vladimir G. Dedkov, Edward S. Ramsay, N. V. Zheleznova, Anastasiia D. Kirichenko, Alena А. Sharova, Anna S. Dolgova, Vera Chayeb, Anna V. Shabalina, A. Yu. Antipova, Margarita Popova, Svetlana Alekseevna Shirobokova
article en
4 citations

Abstract

The severity of MeV infection has been greatly reduced by the development of a live attenuated vaccine, which has been incorporated into vaccination programs in many countries. However, poor access to health facilities, and above all, the increase in anti-vaccination movements, has prevented the achievement of sufficient vaccination coverage. In outbreak scenarios, a rapid and transportable method can improve differential diagnosis, including removing ambiguity in suspected measles cases, contacts, or a cohort. In response to the need, we have developed a new RT-qPCR-based MeV detection assay. The LOD of the developed assay was determined on different PCR machines and the higher threshold was 1-1.2 10<sup>3</sup> copies/mL. The joint diagnostic sensitivity of ELISA and RT-PCR (used together) was 100%, and used combinedly, these two methods enable detection of all measles-infected persons, which is extremely important for controlling contagion and spread of infection. During the clinical validation of the assay on 200 clinical samples from measles-suspected cases using ELISA, 157 samples showed a positive result, while 163 positive cases were confirmed by the RT-qPCR assay. The concordance between the two techniques was 93%. According to our results, the real-time RT-PCR approach used in our study is more sensitive and appears to be a more promising method for measles diagnosis during early stages of the disease, likely before the rise of specific IgM antibodies detected by ELISA.

International Journal of Molecular SciencesVol. 26(5)
Sechenov University (RU), Saint Petersburg Pasteur Institute (RU)
Openalex Percentile: Top 5%
Virology and Viral Diseases
5.42
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