Evaluation of Commercial Immunoassays for Rubella Virus IgG Detection in Low-Antibody Sera Using a Recombinant Immunoblot as a Reference Method

Rubella virus (RV) IgG quantification is essential for verifying immunity, particularly in prenatal care. However, substantial variability exists among commercial immunoassays, especially when testing low-antibody sera. In this study, we evaluated five commercial assays-four chemiluminescent immunoassays (CLIAs) and one Enzyme-linked Immunosorbent Assay (ELISA)-using a recombinant immunoblot (IB) as the reference method. A panel of 137 serum samples with low or undetectable IgG levels was analyzed. Sensitivity ranged from 19.6% to 70.1%, while specificity exceeded 94%. Only 18.6% of immunoblot-positive samples tested positive across all assays. Marked quantitative differences were observed, with the Atellica assay yielding the highest titers and Alinity the lowest. Reclassifying equivocal results as positive improved concordance without compromising specificity. These findings suggest that current cut-off values, derived from post-infection sera, may be inadequate for vaccinated populations. A single universal threshold may lead to misclassification and underestimation of immunity. Harmonization of assay calibrations, antigenic targets, and interpretation criteria is urgently needed to ensure reliable rubella immunity assessments in clinical and public health settings.

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Journal
Microorganisms
Published
2025-12-26
DOI
https://doi.org/10.3390/microorganisms14010058
Primary Topic
Virology and Viral Diseases
Type
article
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article

Evaluation of Commercial Immunoassays for Rubella Virus IgG Detection in Low-Antibody Sera Using a Recombinant Immunoblot as a Reference Method

Pablo Mazuelas, Carmen Cuesta Ortega, Javier Rodríguez‐Granger, Ana Carolina Carvalho Abreu et al.
Microorganisms
Virology and Viral Diseases
article

Evaluation of Commercial Immunoassays for Rubella Virus IgG Detection in Low-Antibody Sera Using a Recombinant Immunoblot as a Reference Method

Pablo Mazuelas, Carmen Cuesta Ortega, Javier Rodríguez‐Granger, Ana Carolina Carvalho Abreu, Juan Francisco Gutiérrez-Bautista, Juan Antonio Reguera, Fernando Cobo, Jose Serrano, Antonio Sampedro, Antonio Sampedro-Padilla
article en

Abstract

Rubella virus (RV) IgG quantification is essential for verifying immunity, particularly in prenatal care. However, substantial variability exists among commercial immunoassays, especially when testing low-antibody sera. In this study, we evaluated five commercial assays-four chemiluminescent immunoassays (CLIAs) and one Enzyme-linked Immunosorbent Assay (ELISA)-using a recombinant immunoblot (IB) as the reference method. A panel of 137 serum samples with low or undetectable IgG levels was analyzed. Sensitivity ranged from 19.6% to 70.1%, while specificity exceeded 94%. Only 18.6% of immunoblot-positive samples tested positive across all assays. Marked quantitative differences were observed, with the Atellica assay yielding the highest titers and Alinity the lowest. Reclassifying equivocal results as positive improved concordance without compromising specificity. These findings suggest that current cut-off values, derived from post-infection sera, may be inadequate for vaccinated populations. A single universal threshold may lead to misclassification and underestimation of immunity. Harmonization of assay calibrations, antigenic targets, and interpretation criteria is urgently needed to ensure reliable rubella immunity assessments in clinical and public health settings.

MicroorganismsVol. 14(1)
Andalusian Health Service (ES), Universidad de Granada (ES), Instituto de Investigación Biosanitaria de Granada (ES), Hospital Universitario Virgen de las Nieves (ES), Hospital Clínico Universitario Virgen de la Victoria (ES)
Good health and well-being
Openalex Percentile: Top 29%
Virology and Viral Diseases
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Evaluation of Commercial Immunoassays for Rubella Virus IgG Detection in Low-Antibody Sera Using a Recombinant Immunoblot as a Reference Method — Pablo Mazuelas, Carmen Cuesta Ortega, et al. · Microorganisms (2025) | TGRS Research Map | TGRS