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. Author manuscript; available in PMC: 2024 Oct 1.
Published in final edited form as: J Med Virol. 2023 Oct;95(10):e29134. doi: 10.1002/jmv.29134

Development of a Novel Serological Assay for the Detection of Mpox Infection in Vaccinated Populations

Jennifer L Yates 1,3, Danielle T Hunt 1, Karen E Kulas 1, Karen J Chave 2, Linda Styer 1,3, Sandhya T Chakravarthi 2, Gianna Y Cai 9,12, Maria C Bermúdez-González 9,12, Giulio Kleiner 9,12, Deena Altman 10, Komal Srivastava 9,12; PVI study group9,12, Viviana Simon 9,10,11,12,13, Dennis Feihel 7,8, Joseph McGowan 7,8, Wayne Hogrefe 6, Philip Noone 6, Christina Egan 1,3, Mark K Slifka 4,5, William T Lee 1,3
PMCID: PMC10686281  NIHMSID: NIHMS1934345  PMID: 37805977

Abstract

In 2022 the World Health Organization declared a Public Health Emergency for an outbreak of mpox, the zoonotic Orthopoxvirus (OPV) affecting at least 104 non-endemic locations world-wide. Serologic detection of mpox infection is problematic, however, due to considerable antigenic and serologic cross-reactivity among OPVs and smallpox-vaccinated individuals. In this report, we developed a high-throughput multiplex microsphere immunoassay (MIA) using a combination of mpox-specific peptides and cross-reactive OPV proteins that results in the specific serologic detection of mpox infection with 93% sensitivity and 98% specificity. The New York State Non-Vaccinia Orthopoxvirus Microsphere Immunoassay is an important tool to detect subclinical mpox infection and understand the extent of mpox spread in the community through retrospective analysis.

Keywords: Mpox, Orthopoxvirus, Serology, Antibody, Immunoassay

1. Introduction

Mpox (formerly known as monkeypox), is a zoonotic Orthopoxvirus (OPV) that has historically been endemic and largely isolated to western and central Sub-Saharan Africa1, 2. Other species of OPVs include cowpox (CPX), vaccinia (VAC; smallpox vaccine), and variola virus (VAR; smallpox) which all share a high degree of genetic homology. Mpox is transmitted through close contact with an infected person or animal, bodily fluids, respiratory secretions, or consumption of contaminated meat. Symptoms of infection can be severe and may include lymphadenopathy, fever, headache, fatigue, muscle aches, flu-like symptoms, characteristic rash, and death3, 4. In 2003 a non-endemic mpox outbreak occurred in the United States due to the importation of infected animals. In total, 71 cases of mpox were detected over 5 months and the outbreak was contained through the implementation of multiple public-health efforts5. In 2022 the world faced a multi-country outbreak of non-endemic mpox, prompting the World Health Organization to announce a Public Health Emergency of International Concern. As of August 2023, over 89,000 cases with 160 deaths have been reported globally with over 30,000 of those cases and 50 deaths occurring in the United States. In contrast to the 2003 outbreak, human-to-human transmission has been the primary mode of viral spread in 2022. The size and geographic distribution of the current mpox outbreak has highlighted the need for specific tools to diagnose, treat, and monitor immunity to OPVs.

OPVs are large dsDNA viruses that encode up to 200 conserved viral proteins resulting in extensive antigenic and serologic cross-reactivity between members of the OPV genus6. The protection afforded by vaccination with VAC against fatal smallpox infection is based, and dependent on the antigenic cross-reactivity between VAC and VAR. In the United States, childhood vaccination with VAC was customary until 1972, and VAC vaccination was reinstated for the US military forces in 2002 resulting in a significant number of US residents with VAC-reactive antibodies7, 8. First, Dryvax and second, ACAM2000 smallpox vaccines were composed of live VAC, with ACAM2000 being used after 20079. Due to fewer side effects, a replication deficient VAC (Modified Vaccinia Ankara, Bavarian Nordic; JYNNEOS) received approval from the US Food and Drug Administration in 2019 for administration to individuals deemed high risk for mpox infection10. The development of a specific serologic assay to monitor mpox infection is complicated by the vaccination efforts for both smallpox and mpox11. The current serological assay available to detect the presence of OPV-specific antibodies is an ELISA with formalin-inactivated VAC used as the coating antigen1214. The advantage of this whole-virus assay is the breadth of OPV antigens available for antibody binding – resulting in a highly sensitive assay. However, the distinct disadvantage is the inability of the assay to differentiate between OPV species. Currently, there is no approved serology assay that can discriminate between the antibodies produced following vaccination with VAC versus those mounted upon mpox infection. Therefore, we leveraged a multiplexed microsphere immunoassay (MIA) platform with the goal of maintaining OPV antigenic breadth while simultaneously gaining specificity to mpox and other non-vaccinia OPVs. In the present study, we created an algorithm using two mpox-specific peptides and 5 cross-reactive OPV antigens that detects IgG antibodies associated mpox infection with 93% sensitivity and 98% specificity. Our data support the use of serology as an important tool for the detection of mpox exposure, and as an mpox surveillance tool within vaccinated populations.

2. Materials and Methods

2.1. Study Design and Population

This study was performed using de-identified sera and plasma for a public health function in a declared Public Health Emergency. It has been deemed “Non-human subject research” by the NYS Institutional Review Board. Biospecimens provided by the Icahn School of Medicine at Mount Sinai from the Personalized Virology Initiative were approved by the Mount Sinai Hospital Institutional Review Board (IRB-16–16772 and IRB-16–00791). Participants provided written informed consent before specimens and clinical information were collected. Specimens were coded before processing and analysis. Biospecimens provided by the Zucker School of Medicine at Hofstra/Northwell were de-identified and the data collected included age, gender, date of mpox symptom onset, date of PCR positive test, VAC vaccination history, and date of serum collection.

The test population was composed of 396 human biospecimens (serum or plasma) encompassing mpox-positive (n=40) mpox-negative (n=341), and recent VAC vaccinee cohorts (n=15). The mpox-positive cohort was composed of 40 specimens collected during the 2003 and 2022 United States outbreaks (Table 1; Supplemental Figure 1). From the 2003 United States mpox outbreak 18 mpox-positive samples were collected from donors at 6 months post-infection as previously described15. Eight (8) of 18 donors (44%) received childhood smallpox immunization and 66% were female with an average age of 33 years at serum collection15. From the 2022 United States outbreak 22 mpox-positive samples were collected from day 9 to 107 post-onset. The group was 90% male with an average age of 40 years at specimen collection. Mpox diagnosis was confirmed by PCR. The mpox-negative cohort was composed of 341 serum or plasma specimens. Healthy, United States resident Wadsworth Center employees volunteered serum specimens for assay development (n=114); 59 were born prior to 1972 and 55 born after 1972. Pre-COVID-19 Pandemic Serum Panel E was purchased from Access Biologicals (n=85); 19 were born prior to 1972 and 66 born after 1972 with military status unknown. Remnant plasma and serum specimens from New York residents used for assay development were submitted to the Wadsworth Center between 1/1/2018 and 12/31/2021 for confirmatory HIV testing. HIV status was ‘HIV-1 antibody positive for 131 (92%) and ‘HIV antibody negative for 12 (8%) of the specimens. Specimens were collected from individuals born either prior to 1972 (n=42) or after 1980 (n=100). The vaccinee cohort was composed of 5 serum specimens from Wadsworth Center employee donors who were vaccinated with JYNNEOS® (day 56 post-primary inoculation), and 10 serum specimens provided by donors from The Ichan School of Medicine at Mt. Sinai that were vaccinated with JYNNEOS® (n=8) or ACAM 2000 (n=2). All sera used for analysis were collected at least 20 days following the last dose of vaccine.

Table 1:

Cohorts Used for the Mpox Serological Assay Development

Cohort Number PresumeNaïve (#) Child VAC (#) Mean Age M F UNK DPO

Mpox-Confirmed (Total) 40 27 13 37 26 13 1 9 – 180
2003 18 10 8 33 6 12 0 180
2022 22 17 5 40 20 1 1 9 −107

Mpox-Negative (Total) 341 221 120 40 170 170 1 n/a
Healthy 199 121 78 43 49 150 0 n/a
HIV 142 100 42 37 121 20 1 n/a

Recent Vaccinees 15 13 2 38 14 1 0 25 – 88

Specificity Panel 115 - - - - - 115 n/a

Unknown

Day Post-Onset

2.2. Expression, Production, and Purification of Antigens

Production of B21/22R Peptides

Peptides were manufactured and supplied by Aalto Bio Reagents, Biosynth Group. Peptide sequences were described in Dubois et. al.16. Mpox B21R-A and B correspond to B21R.179/180 and B21R.185/186, respectively. Variola major B22R-A and -B correspond to B22R.64/65 and B22R.82/83, respectively. Peptides were produced using standard Fmoc-based solid phase synthesis and purified using reverse phase high-performance liquid chromatography (RP-HPLC) to >90% purity. Conjugation to BSA occurred through the side chain of cysteine via sylfhydryl chemistry by mixing peptides with maleimide-activated BSA for two hours at room temperature.

Recombinant OPV Antigens

Recombinant proteins were obtained from several sources. Recombinant A27L (VAC-WR-A27L; Cat# NR 2213), A33R (VAC-WR-A33R; Cat# NR545), B5R (VAC-WR-B5R; Cat# NR-546) and L1R (VAC-WR-L2R; Cat# NR-21986) were obtained from BEI Resources, Manassas VA. Mpox A35R (Cat # 230-30238) and H3L (Cat# 230-30233) were purchased from Ray Biotech, Peachtree Corners, GA. Mpox A29L was produced by the Wadsworth Center Protein Expression Core. The mpox A29L gene (GenBank: AY160186) subcloned into the plasmid pETMPOX/A27Lo-His6 was obtained from BEI Resources (Catalog # NR-3022). The construct was transformed into BL21(DE3)pLysS (Novagen) and expressed in Luria Broth containing 30 µg/mL kanamycin. Cell pellets were lysed in 50 mM Tris HCl, 300 mM NaCl, 10 mM imidazole, 0.1% Triton X100, 10% sucrose pH 7.5 containing EDTA-free Complete Protease inhibitor (Roche) and 50 U Benzonase (Novagen). Lysate was applied to a 1 ml HisTrap HP column (Cytiva) in 50 mM Tris HCl, 150 mM NaCl, 10% glycerol pH 7.5, washed with 50 mM Tris HCl, 1 M NaCl, 0.25 M arginine pH 8.5, and eluted with a linear gradient over 20 column volumes to 50 mM Tris HCl, 150 mM NaCl, 10% glycerol, 500 mM imidazole pH 7.5. Fractions containing protein were pooled and dialyzed against 50 mM Tris HCl, 150 mM NaCl, 10% glycerol, 1 mM EDTA pH 7.5 and then twice against a large excess of phosphate-buffered saline (PBS). The protein was checked for size (16.4 kDa) and purity by sodium dodecyl sulfate polyacrylamide electrophoresis.

2.3. OPV-specific Multiplex Microsphere Immunoassay (MIA)

Specimens were assessed for the presence of antibodies reactive to OPV antigens using an MIA as previously described17, 18. Recombinant proteins were covalently linked to the surface of fluorescent, magnetic microspheres (Luminex Corporation). Serum or plasma samples (25 µl at 1:100 dilution) and antigen-coupled microspheres (25 µl at 5×104 microspheres/mL per manufacturer instructions) were mixed and incubated for 30 minutes at 37°C. Serum-bound microspheres were washed and incubated with phycoerythrin (PE)-conjugated secondary antibody specific for human IgG (Southern Biotech). After washing and final resuspension in buffer, the samples were analyzed on a FlexMap 3D analyzer using xPONENT software, version 4.3 (Luminex Corporation). Titration confirmed the optimal serum dilution of 1:100 to be optimal overall for the MIA when considering the variety of antigens and specimen types being tested (Supplemental Figure 3 and Supplemental Table 4).

2.4. Calculation of Clinical Cutoffs and Index Values

ROC curves were generated in GraphPad Prism 9.1.0 for each antigen based on the MFI values of the mpox-negative and mpox-positive cohorts. Sensitivity and specificity values generated by the ROC curve were used to calculate clinical cutoffs using a Youden’s J index (J = sensitivity + specificity – 1) for the range of MFI values in the ROC analysis. The clinical cutoff value was set as the MFI equaling the highest Youden’s J index which represents the best balance of specificity and sensitivity over the range of the assay (Table 2). Clinical cutoffs based on different combinations of mpox-negative populations are indicated in Supplemental Table 1. MFI signals for antigen comparisons were normalized for background fluorescence using an index value (MFI / clinical cutoff).

Table 2:

Diagnostic Performance of OPV Peptides and Antigens

Antigen ROC AUC Cutoff (MFI) Sensitivity % (95% CI) Specificity % (95% CI)

Mpox B21R-A 0.85 795 93% (80 – 97) 67% (62 – 72)
Mpox B21R-B 0.85 602 85% (70 – 94) 75% (70 – 79)
VAR B22R-A 0.56 1466 66% (48 – 80) 52% (47 – 57)
VAR B22R-B 0.77 1828 81% (65 – 91) 72% (68 – 77)
VAC A27L 0.75 678 88% (72 −95) 61% (55 – 66)
Mpox A29L 0.77 960 84% (68 – 93) 59% (54 – 64)
VAC A33R 0.96 8469 91% (77 – 97) 91% (88 – 94)
Mpox A35R 0.97 7950 97% (85 – 100) 89% (85 – 92)
VAC B5R 0.90 3353 94% (81 – 99) 82% (78 – 86)
VAC L1R 0.81 711 65% (48 – 79) 84% (80 – 88)
Mpox H3L 0.96 6927 97% (85 – 100) 90% (86 – 93)

Receiver Operator Characteristic

Area Under the Curve

2.5. Statistics and Data Analysis

Graphing and statistical analyses were performed using GraphPad Prism 9.1.0. Where indicated, data sets were tested for normality and statistical significance was determined by the non-parametric Kruskal-Wallis test where *p < 0.05 **p < 0.001 ***p < 0.0001, and ****p < 0.00001 adjusted for multiple comparisons by Dunn’s test.

Results

Evaluation of Non-Vaccinia Peptides for the Specific Serologic Detection of Mpox Exposure

B21/22R is an immunomodulatory protein present in both mpox and VAR yet absent in VAC, thus allowing for serologic distinction between VAC vaccination and mpox infection19, 20. Dubois et al. previously reported a peptide-based ELISA using 30-mer peptides optimized for the detection of mpox infection in populations that may include VAC vaccinated individuals. The authors reported >90% sensitivity and >90% specificity for mpox infection using 4 BSA-conjugated peptides derived from mpox (B21R-A and -B) and VAR (B22R-A and -B) in a relatively small number of mpox-positive and -negative subjects16. We sought to evaluate efficacy of these previously validated peptides for the diagnosis of mpox infection on our MIA platform. The BSA-conjugated peptides described by Dubois et al. were coupled to fluorescent microspheres and evaluated for IgG reactivity in the mpox-confirmed, mpox-negative, and vaccine control cohorts. Receiver Operatory Characteristic (ROC) analysis revealed moderate predictive accuracy of mpox infection for mpox-derived B21R-A and -B with an area under the curve (AUC) of 0.86 and 0.85, respectively. In contrast, VAR-derived peptides B22R-A and -B showed lower predictive accuracy for mpox infection with AUCs of 0.52 and 0.77, (Figure 1a; Table 2) and were excluded from further evaluation. Based on the sensitivity/specificity values generated by the ROC curve, we calculated clinical cutoffs for mpox peptides B21R-A and -B using a Youden’s J index for the range of median fluorescence intensity (MFI) values in the ROC analysis. The clinical cutoff value was set as the MFI equaling the highest Youden’s J index which represents the best balance of specificity and sensitivity over the range of the assay (Table 2). Importantly, the clinical cutoff for each peptide was not affected by the presumed vaccination status of the mpox-negative cohort (Supplemental Table 1).

Figure 1: Evaluation of Non-Vaccinia Peptides for the Detection of Mpox Infection.

Figure 1:

Serum or plasma specimens from 341 presumed mpox-negative donors and 40 mpox confirmed patients were analyzed for antibody reactivity to peptide antigens derived from mpox and variola virus (VAR) by a microsphere immunoassay. (A) Median fluorescence intensity (MFI) of IgG reactivity to individual 31-mer peptides was used to generate ROC curves representing for mpox-derived B21R-A and -B (magenta) or VAR-derived B22R-A and -B (blue). (B) The log10 MFI of IgG reactivity to mpox B21R-A and -B was plotted for mpox-negative, -positive, and recent vaccinee donors. The mpox-negative cohort was divided by birth year post- and pre-1972 to estimate smallpox childhood vaccination status. (C) Log10 MFI of IgG reactivity to mpox B21R-A and -B was plotted for mpox-negative donors post-1972 (>50) divided by “healthy” and “HIV”. Each dot represents an individual donor. Statistical significance was determined by the non-parametric Kruskal-Wallis test where *p < 0.05 **p < 0.001 ***p < 0.0001, and ****p < 0.00001 adjusted for multiple comparisons by Dunn’s test.

To visualize the baseline IgG reactivity to B21R-A and -B in mpox-negative donors and recent vaccinees compared to mpox confirmed donors, we plotted the MFI for individual donors grouped by cohort as described in Table 1. As routine smallpox vaccination with VAC ended in the United States in 1972, consideration of birth year allowed us to estimate the childhood vaccination status of each donor in the mpox-negative cohort8. Therefore, mpox-negative donors were divided into “presumed naïve” and “childhood vaccination” groups based on birth year post- or pre-1972. The average MFI for the mpox-confirmed donors was significantly higher than the presumed naïve, childhood vaccination, and recent vaccinee groups for both B21R-A and -B (Figure 1b). However, a considerable number of mpox-negative donors show peptide-specific IgG reactivity above the clinical cutoff despite the lack of mpox exposure. Importantly, the childhood and recent vaccinee groups did not show higher levels of B21R-A or -B reactivity than the presumed naïve donors indicating that smallpox vaccination does not contribute to non-specific IgG reactivity to B21R-A and -B in mpox negative populations. Since up to 57% of mpox cases reported in the 2022 outbreak have been in HIV-positive individuals21 we included 142 plasma or serum samples sent for HIV confirmatory testing in our mpox-negative cohort. HIV+/mpox-negative donors showed significantly higher peptide-specific MFI’s as compared to donors without HIV infection, which in turn influences the clinical cutoff and specificity of the resulting assay (Figure 1c; Supplemental Table 1). When considered together, the specificity of peptides B21R-A and -B (67% and 75%; Table 2) is insufficient for the development of a robust mpox-specific serological assay.

Evaluation of OPV Antigens for the Serologic Detection of Mpox Exposure

We asked whether any naturally cross-reactive recombinant proteins derived from VAC or mpox could aid in the development of an mpox-specific serologic assay. Recombinant proteins VAC A27L, mpox A29L, VAC A33R, mpox A35R, VAC B5R, VAC L1R, and mpox H3L were tested for IgG antibody reactivity using the same mpox-infection confirmed and mpox-negative samples as described in Figure 1 (Figure 2a). ROC analysis of each antigen revealed distinct differences in the predictive accuracy for mpox infection. VAC A33R, mpox A35R, VAC B5R, VAC L1R and mpox H3L showed moderate to excellent predictive accuracy with AUC values above 0.8022. In contrast, VAC A27L and homologous mpox A29L showed low predictive accuracy with AUCs below 0.80 and were removed from the assay. As with the mpox-specific peptides, clinical cutoffs were calculated for the remaining antigens using the Youden’s J index calculated from the ROC analysis. Apart from A33/35R, the clinical cutoff was not heavily affected by the presumed vaccination or HIV status of the mpox-negative cohort. (Supplemental Table 1).

Figure 2: IgG Antibody Reactivity to Orthopoxvirus Antigens Among Mpox Negative and Positive Cohorts.

Figure 2:

Serum or plasma specimens from 341 presumed mpox-negative donors and 40 mpox confirmed patients were analyzed for antibody reactivity to recombinant protein antigens derived from mpox or vaccinia virus (VAC) by microsphere immunoassay. (A) Median fluorescence intensity (MFI) of IgG reactivity to recombinant antigens from mpox or VAC (mpox A35R, solid magenta; VAC A33R, dashed magenta; mpox H3L solid light blue; VAC B5R dashed green; VAC L1R dashed orange; mpox A29L solid dark blue, VAC A27L dashed dark blue) were used to generate ROC curves used to represent the sensitivity (%) and specificity (%) of each antigen to detect mpox infection. (B) Log10 MFI of IgG reactivity to OPV antigens (A33/35, B5R, L1R, and H3L) plotted for mpox-negative, -positive, and recent vaccinee donors. Each dot represents an individual donor. Statistical significance was determined by the non-parametric Kruskal-Wallis test where *p < 0.05 **p < 0.001 ***p < 0.0001, and ****p < 0.00001 adjusted for multiple comparisons by Dunn’s test.

To visualize the baseline binding IgG reactivity to VAC A33R, mpox A35R, VAC B5R, VAC L1R, and mpox H3L in mpox-negative donors and recent vaccinees as compared to mpox confirmed donors, we plotted the log10 MFI for individual donors grouped by cohort as described in Figure 1. The average MFI of the mpox-confirmed donors for each recombinant antigen was significantly higher than the MFI’s for the mpox-negative presumed naïve and childhood vaccination groups. As expected, the childhood vaccination group had significantly higher average MFI’s than the presumed naïve group indicating previous exposure to VAC antigens and durable humoral memory from childhood smallpox vaccination 20, 23 (Figure 2b). Although not statistically significant, the average MFI of recent vaccinees trended higher than the childhood vaccination group across all recombinant antigens. These data show that mpox infected individuals developed a more robust antibody response to OPV antigens than VAC vaccinees.

Distinct Pattern of IgG Reactivity to OPV Antigens and Mpox-specific Peptides Between Mpox-confirmed and Mpox-negative Donors

We asked whether multiplexing multiple antigens would reveal patterns of serological reactivity that may be used to distinguish between VAC vaccination and mpox infection. To this end, we plotted each specimen/antigen combination on a heat map to visualize the pattern of reactivity in the mpox-confirmed and mpox-negative cohorts. The mpox-confirmed donors showed uniform and simultaneous reactivity to the mpox peptides and OPV antigens that were tested (Figure 3). In contrast, mpox-negative presumed naïve individuals showed sporadic reactivity to the mpox peptides and OPV antigens. Here, individuals that showed positive reactivity to the B21R peptides did not show simultaneous reactivity with the OPV antigens. The mpox-negative childhood vaccination group displayed an increased frequency of antigen reactivity as expected with previous exposure to VAC, yet rarely showed simultaneous reactivity to the mpox peptides and OPV antigens. Recent vaccinees displayed a similar pattern of mpox peptide and OPV antigen reactivity to the childhood vaccination group. The differential patterns of antigen reactivity between mpox-confirmed and mpox-negative cohorts suggest a combination of OPV antigens and mpox-specific peptides may provide specific serologic detection of mpox infection.

Figure 3: Pattern of OPV Antigen and Mpox Peptide IgG Reactivity Among Mpox-negative and -postive Cohorts.

Figure 3:

Heat maps indicate the relative index value (MFI/cutoff value) of each antigen (Mpox A35R, VAC B5R, VAC L1R, Mpox H3L, Mpox B21R-A, and Mpox B21R-B; vertical columns) for each serum/plasma donor (horizontal rows). Yellow corresponds to a negative index value (< 1.0) below the clinical cutoff. The level of red saturation corresponds to higher index values (> 1.0) above the clinical cutoff.

Development of an Algorithm for the Specific Detection of Mpox Infection

With the goal of developing an algorithm for a mpox-specific assay we counted the number of clinically reactive (MFI above the clinical cutoff) OPV antigens for every individual in the mpox-confirmed and -negative cohorts. Donors from the mpox-confirmed cohort were simultaneously reactive for at least 3 OPV antigens, with a median count of 4 antigens (Figure 4a). In contrast, presumed naïve donors from the mpox-negative cohort were rarely reactive for 1 OPV antigen with a median count of 0 antigens. Mpox-negative donors from the childhood vaccination and recent vaccinee groups showed a range of reactivity from 0 to 4 OPV antigens with median counts of 0 and 2.0, respectively. Setting a clinical cutoff of 3 or more reactive antigens captured 98% of the mpox-confirmed donors while excluding 95% of the mpox-negative cohort.

Figure 4: OPV Antigen Count and Algorithm for the Specific Serologic Detection of Mpox Infection.

Figure 4:

(A) The number of OPV antigens (A33/35, B5R, L1R, and H3L) counted as reactive (R). Reactivity was defined as an MFI value at or above the calculated clinical cutoff value. The antigen count distribution was displayed as a violin plot for mpox-confirmed and mpox-negative cohorts. The mpox-negative cohort divided by birth year post- (presumed naïve) and pre-1972 (Childhood VAC) to estimate smallpox childhood vaccination status. (B) Serum or plasma specimens tested for mpox infection using a multiplexed microsphere immunoassay will be subjected to a 2-tier algorithm using a combination of mpox-specific peptides and OPV antigens. First, specimens will be considered for IgG reactivity to a set of cross-reactive OPV antigens (VAC A33R, mpox A35R, VAC B5R, VAC L1R, and mpox H3L). Samples with reactivity to 2 or fewer antigens will be considered non-reactive (NR; MFI < clinical cutoff) overall for mpox exposure while samples that test reactive (R; MFI > clinical cutoff) to 3 or more OPV antigens will move to the second tier of the algorithm. Next, samples will be considered for their reactivity to mpox peptides B21R-A and -B. Samples with no peptide reactivity will be considered NR for mpox infection. Samples with reactivity to one or more mpox peptides will be considered R for mpox infection. (C) Serum specimens from mpox-confirmed donors (n=40) and recent vaccinees (n=15) were analzyed for IgG reactivity to viral homologues VAC A33R and mpox A35R. Mpox confirmed donors were separated by birth year to simulate vaccination status before infection. Green circles indicate recent vaccinees. Grey circles indicate a birth year prior to 1972 (childhood vaccine), and blue circles indicate a birth year after 1972 (unvaccinated). Red circles in both groups indicate individuals infected in the 2003 mpox outbreak. The dashed line in each plot indicates the reactivity cutoff for the indicated antigen as determined by ROC curve. (D) Serum IgG reactivity ratio representing the mpox A35R MFI divided by the VAC A33R MFI. Green circles indicate recent vaccinees. Grey circles indicate a birth year prior to 1972 (childhood vaccine), and blue circles indicate a birth year after 1972 (unvaccinated). Red circles in both groups indicate individuals infected in the 2003 mpox outbreak. Statistical significance was determined by the non-parametric Kruskal-Wallis test where *p < 0.05 **p < 0.001 ***p < 0.0001, and ****p < 0.00001 adjusted for multiple comparisons by Dunn’s test.

Based on the high antibody reactivity of mpox-infected donors to both cross reactive OPV antigens and the mpox-specific peptides, we developed a two-tiered algorithm designed to remove individuals without true mpox infection from further analysis (Figure 4b). First, the total number of reactive (MFI ≥ cutoff) OPV antigens (A33/35R, B5R, L1R, H3L) was counted for each individual donor. Donors with less than 3 reactive OPV antigens will automatically be considered negative (non-reactive; NR) for mpox-infection. Donors with 3 or more reactive OPV antigens will be considered for the next step of the algorithm. At this stage 95% of the mpox-negative donors (n=341) have been labeled NR and removed from the analysis, while 98% of the mpox-infected cohort will move to the next tier of the algorithm. Next, donors that “passed” the first step of the algorithm will be considered for IgG reactivity to the mpox-specific peptides B21R-A and -B. Finally, donor samples that are reactive (MFI ≥ cutoff) for one or both peptides will be considered positive (reactive; R) for mpox infection. Following the second step of the algorithm 37 out of 40 patients from the mpox-confirmed cohort have been labelled R, giving our serologic test (New York State Orthopoxvirus Non-Vaccinia Virus Microsphere Immunoassay for IgG Antibody Detection; NYS-OPV-MIA) 93% (95%CI = 80–97%) sensitivity for mpox infection with an overall specificity of 98% (95%CI = 96–99%) (Table 3). It is important to note that assay specificity is different depending on the test population. When testing vaccinated donors assay specificity is 94% (95%CI = 89–98%) for the childhood VAC group, and 93% (95%CI = 89–97%) when the recent vaccinees are added to the calculation. However, the NYS-OPV-MIA is highly (100%; 98–100%) specific when testing unvaccinated individuals under 50 years of age. Repeat testing of each discrepant sample (Supplemental Table 2) showed general agreement with the original result where 6 of 8 false positives remained R while 2 changed to NR. All 3 fase-negative mpox-positive specimens remained NR in 3 out of 4 assays performed.

Table 3:

Sensitivity and Specificity of the NYS-OPV-MIA Based on Age Group

Mpox Negative Cohort Sensitivity Specificity PPV* 95% CI NPV 95% CI

Mpox-Negative Total 93% 98% 0.84 0.71 – 0.92 0.99 0.97 – 1.00
Presumed Naїve 93% 100% 1.00 0.90 – 1.00 0.99 0.96 – 1.00
Childhood Vaccination 93% 95% 0.86 0.73 – 0.93 0.97 0.93 – 0.99
Childhood Vaccination & Recent Vaccinees 93% 94% 0.82 0.69 – 0.91 0.98 0.93 – 0.99
Mpox-Negatives & Specificity Panel 93% 98% 0.79 0.65 – 0.88 0.99 0.98 – 1.00
*

Positive Predictive Value

Negative Predictive Value

Confidence Interval

As additional validation, we tested a specificity panel of 115 serum specimens with known antibodies to a diverse group of bacterial and viral pathogens, as well as anti-nuclear antibodies (ANA) and rheumatoid factor (RF) (Supplemental Table 3). The specificity panel included specimens from infections that may be confused with mpox, including Syphilis (n=8), Herpes Simplex Virus (HSV; n = 15), and Varicella Zoster (n = 18). When combined with the mpox-negative cohort (n = 456) the specificity of the NYS-OPV-MIA remains at 98% (95%CI = 96–99%). To ensure assay validity across acute and convalescent time-points, we plotted the IgG reactivity to each antigen against the day post-onset of mpox infection (Supplemental Figure 2). In each case, the level of IgG reactivity is not related to the day post-onset. Notably, IgG reactivity remains high for all antigens out to 6 months (180 days) post infection onset. In summary, we have developed a robust serological assay with high sensitivity and high specificity to aid in the diagnosis of mpox-infection.

Strength of Mpox Antigen Binding is Dictated by the First Viral Exposure

The induction of potent cross-protective immunity through vaccinia virus vaccination for protection against smallpox is well established24, 25. There is also strong evidence for VAC vaccination to provide some degree of protection against mpox infection15, 26. Our mpox serology assay includes the homologous proteins A33/35R from both VAC and mpox respectively, which allowed us to ask how previous exposure to VAC through vaccination influences antibody binding following mpox infection. To this end, we divided the mpox cohort by birth year to reflect the childhood vaccination status of the mpox-positive cohort. When considering IgG binding to VAC A33R, mpox-infected patients bind equally well to VAC A33R regardless of previous VAC exposure. In contrast, mpox-infected patients under 50 trended toward higher binding to mpox A35R as compared to their previously vaccinated counterparts (Figure 4c). To estimate the relative binding of VAC A33R versus mpox A35R in each antigen exposure group we calculated a binding ratio by dividing the IgG MFI of VAC A33R by the IgG MFI of mpox A35R. The resulting data revealed differential binding of the A33/35R homologues based on the primary immunizing virus. The vaccine control group showed the highest VAC/mpox binding ratio indicating that antibodies from this group bound the VAC A33R protein better than the mpox homologue. In contrast, previously unvaccinated mpox-infected patients showed the lowest binding ratio, indicating better antibody binding to mpox A35R rather than the VAC homologue. Interestingly, previously vaccinated mpox-infected patients showed an intermediate A33/35R binding ratio suggesting a contribution from both VAC-derived and mpox-derived antibodies to the overall binding profile in these patients. Together, these data demonstrate the presence of distinct epitopes in homologous proteins despite high levels of cross-reactivity and suggest that original antigenic sin may play a role in the humoral response to mpox in previously vaccinated individuals.

Discussion

In response to a Public Health Emergency of International Concern, we developed a sensitive (93%) and specific (98%) multiplex MIA for the differential serologic detection of mpox infection in VAC vaccinated populations. The assay contains 2 mpox-specific peptides and 5 cross-reactive OPV recombinant proteins derived from either VAC or mpox. Here, we leveraged both multiplex technology and the differential antibody reactivity profiles resulting from VAC vaccination and mpox infection to build specificity into our serologic assay.

In 2012 Slifka and colleagues reported a highly sensitive mpox-specific ELISA based on 30-mer peptides derived from the B21/22R gene that is present in mpox yet absent in VAC16. We tested the BSA-conjugated B21/22R peptides on our multiplex MIA as a high-throughput alternative to the previously described ELISA. Of the four peptides tested, mpox-derived B21R-A and -B had the best discriminatory capacity for mpox infection, where VAR-derived B22R-A and -B were comparatively poor. In contrast to the Dubois-Slifka study, we found extensive non-specific IgG reactivity to the peptides in a mpox-negative population, the origin of which is unknown. An explanation for the discrepant specificity between studies is the size and composition of our negative cohort. The mpox-negative cohort of the Dubois-Slifka study was composed of 20 healthy naïve, recently vaccinated, and childhood vaccinated donors for a total of 60 test subjects. Here, we calculated diagnostic specificity of the B21/22R peptides based on a negative cohort of 341 donors, 142 of which were HIV-positive. Analysis of our mpox-negative cohort revealed that much of the non-specific reactivity seen to the peptides was present in the samples collected from people living with HIV. In fact, non-specific serologic reactivity in HIV+ populations due to polyclonal B cell activation and hypergammaglobulinemia is a well-characterized aspect of HIV infection27, 28. Further, many HIV-1-specific broadly neutralizing antibodies generated during HIV infection are polyreactive29. The high frequency of HIV+ patients in the mpox test population21 has the potential to impact assay performance and underscores the importance of considering test population demographics prior to assay development. To maximize assay sensitivity, the clinical cutoff for each peptide was based on the MFI values of the entire mpox-negative cohort. However, assay specificity can be increased for sero-surveillance studies to 99.7% with a corresponding decline to 83% sensitivity if the clinical cutoff for each peptide is based solely on HIV-positive individuals.

With a lack of additional non-vaccinia derived proteins to test, we turned to immunodominant VAC and mpox antigens known for their cross-reactivity across OPV species. We demonstrate that mpox-infected donors have robust IgG reactivity to the immunodominant antigens A33/35R, B5R, L1R, and H3L. In contrast, both recent and childhood vaccinees show detectable antibody reactivity to one or more of the antigens tested, while the antibody profile of any individual lacks the magnitude and antigenic breadth that is seen following mpox infection. Our data is supported by recent studies which found reduced serum titers and antigen-specific B cells in both recent and childhood vaccinia vaccinees as compared to mpox-infected patients30, 31. Previous work has shown that the majority of VAC vaccinees recognize a fraction of the OPV proteins tested, and that no single OPV antigen was universally recognized by all vaccinees14. In fact, antibodies specific for immunodominant antigens A33, B5, L1, and H3 are rarely seen in all individuals following primary VAC immunization14, 32, 33. The cause for reduced antibody titer and antigenic breadth in vaccinated versus mpox infected individuals may be due to differences in viral load, viral tropism, or route of inoculation that occur through vaccination versus infection30. The vaccine formulation used (replicating vs. non-replicating) and the HIV status of the individual is unlikely to affect the strength and durability of the humoral response to VAC inoculation3437.

Serologic assays measure the host response to an infectious agent which can be detected for months to years following infection. However, measuring the host immune response comes with inherent challenges such as antigenic cross-reactivity and genetic variability between individuals. We demonstrated that a multiplex immunoassay platform using a combination of mpox peptides and OPV proteins can identify mpox infection with high sensitivity and specificity in a population where VAC vaccination has occurred. Furthermore, we show that mpox infection and VAC vaccination result in differential patterns of IgG reactivity that could be exploited for mpox-specific detection despite high levels of antigenic cross-reactivity. The bead-based platform described in this study is amenable to high-throughput processing which may be useful for performing large-scale sero-epidemiology studies38 in high-risk populations to inform our understanding of mpox transmission in the future.

Limitations of the Study

The B21/22R gene that is presently used as the final discriminator for mpox infection in our assay is expressed in other non-vaccinia OPV species. Interpretation of our assay may be difficult in regions where cowpox or other non-vaccinia OPVs are endemic39. In addition, sequencing efforts during the 2002 mpox outbreak identified isolates with genetic deletions that affect the B21R gene40 which have the potential to alter assay sensitivity if such mutations become commonplace in circulating mpox strains.

The primary population impacted by the 2022 mpox outbreak are persons who identify as gay, bisexual, transgender, and men who have sex with men (MSM) many of whom are also HIV infected. While our study does include an mpox-negative HIV-positive cohort, it does lack a cohort of recently Jynneos vaccinated individuals who are living with HIV.

Supplementary Material

Supinfo1
Supinfo2

Acknowledgements

We wish to acknowledge and express our gratitude to all the study participants for their generosity, without which this study would not be possible. We acknowledge and thank the following members of the Diagnostic Immunology Laboratory for their expert technical assistance: Kelly Howard, Kyle Carson, and Theresa Lamson. We acknowledge and thank Jean Rock and Rachel Bievenue of the Bloodborne Viruses Laboratory and Michael Perry of the Biodefense Laboratory for providing sample preparation. We acknowledge and thank Heidi Dillenbeck for quality control and quality assurance support. We thank Archana Thomas of the Slifka Laboratory for assistance with sample preparation and shipping. We thank Dr. Charles Gonzalez of the AIDS Institute, NYSDOH for facilitating serum specimen acquisition. We thank Nicholas J. Mantis for critical reading of the manuscript. Peptides were manufactured and supplied by Aalto Bio Reagents, Biosynth Group.

Funding Sources

This publication was supported by Cooperative Agreement Number NU50CK000516 funded by the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services. V.S. and her team are, in part, supported by U19AI168621 and seed funds of the Mount Sinai Vaccine Research and Pandemic Preparedness (c-VaRPP).

PVI study group (in alphabetical order): Angela A. Amoako, Dalles Andre, Harm van Bakel, Christian Cognini, Charles R. Gleason, Ana Gonzalez-Reiche, Morgan van Kesteren, Al Lugo, Neko Lyttle, Jacob D. Mauldin, Brian C. Monahan, Jessica R. Nardulli, Annika Oostenink, Alberto Paniz-Monodolfi, Jose Polanco, Juan David Ramírez, Aria Rooker, and Emilia Mia Sordillo.

Footnotes

Declaration of Interests

P.K. and W.H. have a financial interest in Aalto Bio Reagents, a company that may have a commercial interest in the results of this research and technology. OHSU and M.K.S. have a financial interest in Najit Technologies, Inc., a company that may have a commercial interest in the results of this research and technology. This potential individual and institutional conflict of interest has been reviewed and managed by OHSU. The Icahn School of Medicine at Mount Sinai has filed patent applications relating to SARS-CoV-2 serological assays, which list Viviana Simon as a co-inventor.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supinfo1
Supinfo2

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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