Establishment of Contextually Appropriate Cut Offs for Orthopoxvirus Serologic Assays in an Mpox-Endemic Setting
Frederick, C.; Merritt, S.; Halbrook, M.; Mukadi, P.; Anta, Y.; Kompany-Kisenzele, J. P.; Tambu, M.; Makangara-Cigolo, J.-C.; Hasivirwe Vakaniaki, E.; Kenye, M.; Lunyanga, L.; Kacita, C.; Kalonji, T.; Kinanga, C.; Linsuke, S.; Hensley, L. E.; Bogoch, I. I.; Shaw, S. Y.; Hoff, N. A.; Mbala-Kingebeni, P.; Rimoin, A. W.; Kindrachuk, J.
Show abstract
Mpox virus (MPXV) gained increased attention following the declaration of two Public Health Emergencies of International Concern (PHEICs) in 2022 and 2024. The rapid spread of MPXV and the increase in human-to-human transmission highlighted the need for improved diagnostic tools for characterizing infection patterns and transmission dynamics. While PCR is effective for detecting active infections, serological approaches can help identify previous or asymptomatic infections and support retrospective surveillance. However, many serological assays developed during recent outbreaks have not been evaluated in endemic settings such as the Democratic Republic of the Congo (DRC). This study aims to define antigen-specific serological cutoff values to differentiate MPXV-seroreactive individuals from those with other orthopoxvirus (OPXV) exposure or different vaccination histories, specifically for use in the DRC. Here, we analyzed 134 individuals, divided into six distinct cohorts with different exposures. Serum samples were tested using Mesoscale Discovery (MSD) to screen for five MPXV and vaccinia virus (VACV) orthologous antigens: A29L/A27L, A35R/A33R, B6R/B5R, E8L/D8L, and M1R/L1R. Receiver operating characteristic (ROC) analysis identified the best-performing antigens and established seroreactivity cutoff values. A binary composite rule was also evaluated to improve the classification of these results. We identified three MPXV antigens, E8L (cut-off=12.33 AU/mL), A35R (cut-off=5.22 AU/mL), and B6R (cut-off=9.77 AU/mL), that showed the strongest discriminatory performance in the dataset. Collectively, these three antigens form a significant panel that demonstrated clear separation between our mpox survivor cohort and other OPXV-exposed individuals.
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