• Loading metrics

Integration of Multiplex Bead Assays for Parasitic Diseases into a National, Population-Based Serosurvey of Women 15-39 Years of Age in Cambodia

  • Jeffrey W. Priest ,

    Affiliation Division of Foodborne, Waterborne, and Environmental Diseases at the Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • M. Harley Jenks,

    Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Delynn M. Moss,

    Affiliation Division of Foodborne, Waterborne, and Environmental Diseases at the Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Bunsoth Mao,

    Affiliation University of Health Sciences, Phnom Penh, Cambodia

  • Sokhal Buth,

    Affiliation National Institute of Public Health, Phnom Penh, Cambodia

  • Kathleen Wannemuehler,

    Affiliation Global Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Sann Chan Soeung,

    Affiliation National Immunization Program, Ministry of Health, Phnom Penh, Cambodia

  • Naomi W. Lucchi,

    Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Venkatachalam Udhayakumar,

    Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Christopher J. Gregory,

    Affiliation Global Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Rekol Huy,

    Affiliation Center for Parasitology, Entomology, and Malaria Control, Phnom Penh, Cambodia

  • Sinuon Muth,

    Affiliation Center for Parasitology, Entomology, and Malaria Control, Phnom Penh, Cambodia

  • Patrick J. Lammie

    Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

Integration of Multiplex Bead Assays for Parasitic Diseases into a National, Population-Based Serosurvey of Women 15-39 Years of Age in Cambodia

  • Jeffrey W. Priest, 
  • M. Harley Jenks, 
  • Delynn M. Moss, 
  • Bunsoth Mao, 
  • Sokhal Buth, 
  • Kathleen Wannemuehler, 
  • Sann Chan Soeung, 
  • Naomi W. Lucchi, 
  • Venkatachalam Udhayakumar, 
  • Christopher J. Gregory


Collection of surveillance data is essential for monitoring and evaluation of public health programs. Integrated collection of household-based health data, now routinely carried out in many countries through demographic health surveys and multiple indicator surveys, provides critical measures of progress in health delivery. In contrast, biomarker surveys typically focus on single or related measures of malaria infection, HIV status, vaccination coverage, or immunity status for vaccine-preventable diseases (VPD). Here we describe an integrated biomarker survey based on use of a multiplex bead assay (MBA) to simultaneously measure antibody responses to multiple parasitic diseases of public health importance as part of a VPD serological survey in Cambodia. A nationally-representative cluster-based survey was used to collect serum samples from women of child-bearing age. Samples were tested by MBA for immunoglobulin G antibodies recognizing recombinant antigens from Plasmodium falciparum and P. vivax, Wuchereria bancrofti, Toxoplasma gondii, Taenia solium, and Strongyloides stercoralis. Serologic IgG antibody results were useful both for generating national prevalence estimates for the parasitic diseases of interest and for confirming the highly focal distributions of some of these infections. Integrated surveys offer an opportunity to systematically assess the status of multiple public health programs and measure progress toward Millennium Development Goals.

Author Summary

In 2012 a comprehensive national serosurvey to assess immunity to vaccine preventable diseases such as polio, rubella, measles, and tetanus was conducted among women of child bearing age in Cambodia. We were able to test this sample set using a multiplex bead assay in order to measure specific antibody responses to the parasites that cause malaria, toxoplasmosis, lymphatic filariasis, cysticercosis, and strongyloidiasis. National prevalence estimates generated from the serologic data show widespread exposure (>45% positive) to the soil transmitted nematode worm, Strongyloides stercoralis. In contrast, <5% of women were positive for antibodies to P. falciparum malaria, P. vivax malaria, and lymphatic filariasis, and antibody-positive women were mainly found in the North region of the country. Women who were positive for antibodies to Toxoplasma gondii and Taenia solium (5.8% and 2.6% of the population, respectively) were not clustered in any particular geographic region. With this study we have shown how the integration of a multiplex assay into a national serosurvey can provide useful information on the prevalence and distributions of medically important parasitic infections.


In many tropical and sub-tropical countries, the disease burden represented by neglected tropical diseases (NTDs) is substantial, yet information on the prevalence and distribution of these diseases is limited because of the significant costs associated with disease-specific surveys. Even with the recent scale-up of preventive chemotherapy programs targeting NTDs [1], routine assessments to monitor the impact of these programs, when they occur, are often restricted to sentinel sites and may not be representative of all program areas. For some diseases such as strongyloidiasis, prevalence data for many regions of the world are lacking, and no public health strategy has been developed for control of the disease [2, 3].

Demographic and Health Surveys (DHS) and other population-based multiple indicator surveys are conducted to assess the performance of health and development programs. The United States Agency for International Development (USAID) has assisted in over 230 DHS surveys in more than eighty countries since 1984 at a cost of approximately $380 million dollars, and additional monies have been contributed by other donors as well as host countries [4]. Collection of biomarker data is often included in these types of population-based surveys to assess morbidity, HIV status, or malaria infection prevalence, but these surveys have not been extended to include NTDs. Multiplexing technologies provide new opportunities to collect data on a large number of diseases using a single serum sample or dried blood spot [5]. Such an approach would provide Ministries of Health with valuable information on the distribution and prevalence of NTDs, opportunities to monitor the impact of NTD interventions, evidence to inform programmatic decisions, and post-elimination surveillance.

The Cambodian Ministry of Health conducted a serological survey in 2012 to assess population immunity for poliomyelitis, measles, rubella and tetanus among women aged 15–39 years [6]. This comprehensive national serological survey provided an excellent opportunity to gather information on the distribution and prevalence of other diseases throughout Cambodia by measuring antibody responses to a panel of antigens representing several parasitic infections. We used multiplexing technology to assay sera collected in this national serological survey for immunoglobulin G (IgG) antibodies against tetanus, measles, Plasmodium falciparum and P. vivax, Wuchereria bancrofti, Toxoplasma gondii, Taenia solium, Strongyloides stercoralis, and several arthropod-borne viruses. For S. stercoralis the national prevalence exceeded 40% and was indicative of a country-wide public health problem of surprising magnitude. Multiplexed approaches provide an opportunity to gather information of public health importance on a large scale using well-standardized survey platforms and well-characterized infection markers.

Materials and Methods

Survey design

Samples were obtained during a serological survey in November and December 2012 as previously described [6]. Briefly, blood samples were collected from women of child-bearing age (15–39 years) throughout Cambodia. Multi-stage cluster sampling was performed with oversampling of areas identified as higher risk for tetanus based on the 2009 Cambodian neonatal tetanus risk assessment. One hundred enumeration areas (EAs) were selected by simple random sampling of the 611 EAs defined for Cambodia’s 2010 DHS survey. The number of rural and urban EAs from each region were selected to match the relative proportion of urban and rural populations in the region. From each of the EAs, twenty-two households were selected and all eligible women in those households were invited to participate. The design and sample size were selected to provide estimates of population rubella and tetanus immunity nationwide and by age-group [6, 7].

Five milliliters of whole blood were collected from each participant, and sera were separated shortly thereafter and stored at -80°C. As previously described, samples were initially tested by enzyme-linked immunosorbent assay (ELISA) or standard microneutralization assay for antibodies to measles, rubella, and polio [6]. Residual samples were then tested by multiplex bead assay (MBA) at CDC in Atlanta, GA, and by double antigen ELISA for tetanus antibody levels at the Statens Serum Institut, Copenhagen, Denmark. The results of measles, rubella and polio antibody testing have been published [3] and the tetanus assay results will be reported elsewhere [7]. As previously described [7], a total of 2150 samples had reported tetanus values and were included in the multiplex assay testing.

Ethics statement

Written informed consent was obtained and documented prior to participation in the survey; specific consent for serologic testing of diseases of public health importance was included as part of this process. Consent was also be obtained separately from the parent or guardian of women under the age of 18. The protocol was reviewed and approved by the national ethics committee in Cambodia.

Recombinant parasite antigens used

Staff of the Ministry of Health of Cambodia selected antigens to be included in the multiplex. The following parasite-specific recombinant antigens were used in the MBA (Table 1): NIE for Strongyloides stercoralis [8]; SAG2A for Toxoplasma gondii [9, 10]; T24H for cysticercosis [11]; PfMSP-119 (3D7 strain) and PfMSP-142 (3D7 strain and FVO strain) for P. falciparum malaria [12, 13]; and PvMSP-119 (Belem strain) for P. vivax malaria [14, 15]. For lymphatic filariasis, Brugia malayi Bm14 (SXP-1) [16], B. malayi Bm33 (Bm-AP-1) [17], and W. bancrofti Wb123 [18] antigens were used. Wb123 is reported to be largely species specific [18, 19], while the Bm14 and Bm33 antigens cross react with sera from W. bancrofti infected patients as well as with sera from some patients infected with other filarial worm species [17, 20].

Table 1. Coupling conditions and cutoff values for antigens used in parasitic disease MBA.

Recombinant Bm14 [21], SAG2A [22], and NIE [23] proteins tagged with Schistosoma japonicum glutathione-S-transferase (GST) and control GST with no fusion partner [24] were expressed and purified as described elsewhere. Bm33 [25] and T24H [26] were expressed with GST fused to the amino terminus and with six histidines (His6) on the carboxy terminus and purified as previously described. Following purification, the His6 tag was removed from T24H by Factor Xa cleavage [26]. Recombinant PfMSP-119-GST (3D7 parasite strain) fusion protein and PfMSP-142 proteins (3D7 and FVO parasite strains) lacking fusion tags were provided by C. Kauth and H. Bujard (Heidelberg University, Heidelberg, Germany) [27]. Wb123-GST fusion protein was provided by Dr. T. Nutman (NIH, Bethesda, MD).

The P. vivax PvMSP119-GST was cloned, expressed, and purified for the MBA. The coding sequence (including the carboxy-terminal, hydrophobic anchor sequence) was amplified from Belem strain DNA (provided by J. Barnwell, CDC, Atlanta, GA) using the following forward and reverse deoxyoligonucleotide PCR primers: 5’-CGC GGA TCC ACT ATG AGC TCC GAG CAC ACA TG-3’ and 5’-GCG GAA TTC TTA AAG CTC CAT GCA CAG GAG-3’, respectively. BamHI and EcoRI restriction endonuclease sites used for directional cloning into pGEX 4T-2 plasmid (GE Healthcare, USA) are underlined in the primer sequences. Polymerase chain reaction amplification conditions and protocols for cloning into Escherichia coli BL21 cells (Stratagene, USA) have previously been described [28]. The sequence of the resulting PvMSP119 clone was confirmed to match that found in GenBank (accession number AF435594.1) [29]. Recombinant PvMSP119-GST fusion protein was expressed and purified on a glutathione Sepharose 4B affinity column as directed by the manufacturer (GE Healthcare). Glutathione-eluted proteins were dialyzed overnight against 300 volumes of 25 mM Tris buffer at pH 7.5 using Spectra-Por3 dialysis membrane (3,500-Da cutoff, Spectrum Laboratories, Rancho Dominguez, CA). Proteins were bound to a Mono Q HR5/5 strong anion exchange column (GE Healthcare) and eluted with a 20 min linear gradient from 0 to 0.25 M NaCl in 25 mM Tris buffer at pH 7.5. Protein fractions collected between 0.15 and 0.21 M NaCl were mostly free of contaminants by SDS polyacrylamide gel analysis and were combined. The final protein product was dialyzed against 300 volumes of PBS and then concentrated to approximately 1 mg/ml using a Centricon-10 centrifugal filter device (Millipore Corporation, Bedford, MA). The yield from 2 L of E. coli cells was approximately 1.5 mg of purified PvMSP119-GST protein.

Multiplex bead antibody assays for parasitic diseases

Bm14-GST and Wb123-GST antigens (120 μg for 12.5 x 106 beads in 0.5 ml) were covalently coupled to SeroMap microsphere beads (Luminex Corp., Austin, TX) using conditions previously described in buffer containing 10 mM Na2HPO4 and 0.85% NaCl at pH 7.2 (PBS) [25]. For the other antigens, coupling buffers for conjugation were empirically chosen to minimize protein usage and maximize the signal/ noise ratio (shown in Table 1). A small scale coupling reaction (50 μl containing 6.25 x 105 beads) conducted at a protein concentration of 120 μg/ ml in PBS at pH 7.2 was compared to small scale coupling reactions performed in phosphate buffer at pH 7.2 or in buffers containing 2-(N-morpholino)-ethanesulfonic acid (MES) at pH 5.0 or 6.0. Protein concentrations were varied from 120 μg/ ml to as low as 10 μg/ ml. Each small scale coupling was conducted using a different bead classification number so that the beads could be combined in a single assay well for analysis. The efficiencies of the couplings were compared by MBA (conditions described below) using a serial dilution of a strong positive human serum, a panel of positive and negative human sera, or a 10-fold serial dilution of a goat anti-GST polyclonal antibody (GE Healthcare) with a biotinylated rabbit anti-goat IgG secondary antibody (1:500 dilution; Invitrogen, Carlsbad, CA). Antigens coupled in 0.5 ml of 25 mM MES at pH 5.0 with 0.85% NaCl used the following amounts of protein for 12.5 x 106 beads: SAG2A-GST, 20 μg; T24H-GST, 120 μg; PfMSP-119-GST, 30 μg; PfMSP-142 proteins, 15 μg; PvMSP119-GST, 20 μg; GST control protein, 15 μg. The two antigens purified in the presence of 2 M urea required 2 M urea in the coupling buffer to minimize the MBA response to negative human sera. Bm33-GST-His6 (20 μg for 12.5 x 106 beads in 0.5 ml) was coupled in buffer containing 25 mM MES, 2 M urea, and 200 mM NaCl at pH 6.0. NIE-GST (20 μg for 12.5 x 106 beads in 0.5 ml) was coupled in buffer containing 50 mM Na2HPO4, 2 M urea, and 200 mM NaCl at pH 7.2.

Test sera were diluted 1:400 in PBS buffer (pH 7.2) containing 0.3% Tween-20, 0.02% sodium azide, 0.5% BSA, 0.5% casein, 0.5% polyvinyl alcohol (PVA), 0.8% polyvinylpyrrolidone (PVP), and 3 μg/ml E. coli extract, and duplicate samples were assayed for total IgG antibodies as previously described [21, 25, 30]. Casein was found to provide additional background noise reductions for the NIE and Bm33 assays compared to PVA and PVP alone. Assay performance was monitored by the inclusion on each plate of two positive control serum dilutions, two negative control serum dilutions, and a buffer-only blank. The average of the median fluorescent intensity values from the duplicate wells minus the background fluorescence from the buffer-only blank was reported as the “median fluorescence intensity minus background” (MFI-bg). Samples having a coefficient of variation of >15% for ≥2 positive responses between the duplicate wells were repeated.

Because several of the parasitic diseases represented in our MBA panel are not endemic in the United States (U.S.), we were able to use serum samples from 86 healthy, adult US citizens with no history of foreign travel to define positive IgG response cutoffs [25]. Cutoffs for Bm14 (65 MFI-bg), Wb123 (115 MFI-bg), Bm33 (966 MFI-bg), NIE (792 MFI-bg), and T24H (486 MFI-bg) were based on the mean plus three standard deviations of the respective antibody response values (Table 1). Cutoffs for PfMSP119 (343 MFI-bg) and PvMSP119 (196 MFI-bg) were calculated using the mean plus three standard deviations of log transformed antibody response values (Table 1) [31]. Panels of parasitologically confirmed, anonymous sera were available for MBA sensitivity determinations for malaria antigens (slide microscopy positive patients, P. falciparum n = 33 and P. vivax n = 35), S. stercoralis NIE antigen (stool positive patients, n = 44), and cysticercosis T24H antigen (patients with multiple cysts confirmed by CT or MRI scan, n = 52).

The significant prevalence of toxoplasmosis in the U.S. population [32] required the use of an alternate means of cutoff determination for the SAG2A antigen. A panel of positive and negative sera (n = 45) identified using the “gold standard” Sabin-Feldman dye binding assay was tested by MBA, and the average of the highest negative value (22 MFI-bg) and the lowest positive value (295 MFI-bg) was chosen as the positive cutoff (159 MFI-bg) (Table 1) [22, 33].

Statistical analysis

An alpha of 0.05 was set for tests of statistical significance. Statistical analyses were conducted using SAS v9.3 (Cary, NC, USA) and STATA v 13.1 (College Station, TX, USA). Briefly, sampling weights were calculated to take each stage of selection into account, including the probability of selecting the original EAs in the 2010 DHS. A non-response adjustment by strata was included using the weighting class approach. Final weights were scaled to conform to the regional distribution of the population in the 2008 census [34]. Estimates of seroprevalence and coverage with 95% (logit) confidence intervals (CI) were calculated accounting for survey design (STATA v13.1). Second-order Rao-Scott Chi-square tests were used to assess differences in seroprevalence across age groups, regions, and rural/urban residence.


The cutoff values assigned to the various parasite MBAs in Table 1 performed well when the assays were used to test serum panels from parasite infection-confirmed patients. All three P. falciparum MBAs detected IgG antibodies in 75.8% of the slide positive serum panel, and each positive serum reacted with all three antigens. Unfortunately, demographic information and details on the timing of sample collection relative to malaria infection were not available for this anonymous sample set. Specificities calculated from the U.S. citizen negative control panel ranged from 100% (PfMSP119) to 96.5% (PfMSP142). The PvMSP119, S. stercoralis NIE, and cysticercosis T24H MBAs had sensitivities of 85.7%, 84.1%, and 98.1%, respectively. Specificities calculated from the U.S. citizen negative control panel were 98.8% for each assay. As previously reported, the T. gondii SAG2A MBA was 100% sensitive and specific compared to a “gold standard” assay defined panel [22]. Sensitivities were not determined for the LF antigen MBAs; they were >97.7% specific with our U.S. negative samples.

Although the Cambodia population survey was not powered to detect differences in antibody prevalence across EAs, a plot of median values of the data sorted first by EA and then by region revealed distinct high and low median prevalence values for some of the parasite-specific antibody responses. A single EA in the Steung Treng province of the North geographic region of the country was found to have coincident peaks of high antibody responses to all three LF antigens (Fig 1A). Multiple North region EAs located in the provinces of Kratie, Preah Vihear, Ratanakiti, and Steung Treng had coincident peaks of antibody reactivity to the P. falciparum and the P. vivax MSP119 antigens (Fig 1B). A weak median response peak in the West region province of Pursat was also detected. Median antibody response plots for the FVO and 3D7 PfMSP142 antigens largely mirrored those observed with the PfMSP119 antigen (S1 Fig). Because the MSP142 antigens included the MSP119 sequence, these responses were not further analyzed. Multiple peaks of antibody to S. stercoralis NIE were observed throughout the country, and only the largely urban Phnom Penh region had EAs with relatively low median responses (Fig 2A). For toxoplasmosis and cysticercosis there was no discernible geographic clustering of the antibody responses detected (Fig 2B).

Fig 1. Median plots for LF responses (A) and malaria responses (B) in Cambodian women 15–39 years of age.

A, Multiplex bead assay results for Bm14 (black), Bm33 (red), and Wb123 (gray) were grouped first by Enumeration Area (EA) and then by geographic region as follows: North (Banteay Mean Chey, Kampong Thom, Kratie, Mondolkiri, Otdar Mean Chey, Preah Vihear, Ratanakiri, Siem Reap, and Steung Treng provinces), West (Battambang, Kampong Chhang, Kampong Speu, Koh Kong, Pailin, Preah Sihanouk, and Pursat provinces), Southwest (Kampot, Kandal, Kep, and Takeo provinces), Southeast (Kampong Cham, Prey Veng, and Svay Rieng provinces), and Phnom Penh [6]. A median MFI-bg result was calculated for each EA and is plotted versus region. A single coincident peak of LF reactivity was noted in a single EA in the North region. B, Median multiplex results for P. vivax (black) and P. falciparum (red) MSP119 antigens were calculated as described in A. Note that the results for P. vivax MSP119 are plotted on the left hand y-axis while those for P. falciparum MSP119 are plotted on the right hand y-axis.

Fig 2. Median plots for parasitic disease responses in Cambodian women 15–39 years of age.

Antibody results for a strongyloidiasis antigen (A), and toxoplasmosis (black) and cysticercosis (gray) antigens (B) were grouped as described in Fig 1. A median MFI-bg result was calculated for each EA and is plotted versus region.

Weighted national estimates for toxoplasmosis and cysticercosis were 5.8% (CI, 4.7–7.0) and 2.6% (CI, 1.8–3.7), respectively, with no statistically significant urban/ rural, regional, or age-related differences noted (S1 Table). Weighted national estimates of seroprevalence for P. falciparum (4.6%; CI, 3.1–6.8) and P. vivax (4.6%; CI, 3.3–6.4) malaria are shown in Table 2. Antibody prevalence was significantly higher in rural areas than urban areas for P. falciparum (P = 0.005) and P. vivax (P = 0.014). Regional differences in seroprevalence were statistically significant for P. falciparum and P. vivax (Table 2), with the North region having higher seroprevalence than the other regions combined for P. falciparum (13.7% vs. 1.9%; P < 0.001) and P. vivax (9.2% vs. 3.2%; P = 0.003). No age related differences were noted for either malaria species. For the LF estimate (Table 3) we required that antibodies to two or more of the LF antigens be present for a sample to be considered positive. The national LF estimate was low at only 2.4% (CI, 1.6–3.6), but statistically significant rural/ urban (P = 0.039) and regional (P < 0.001) differences were observed with the latter driven by a higher prevalence of 5.6% (CI, 3.0–10.2) in the North region. In contrast to the low seroprevalence estimates for the parasitic diseases mentioned above, just under half of women of child-bearing age in our countrywide sample of Cambodia were positive for antibodies to S. stercoralis (45.9%, CI, 41.7–50.1) (Table 3). Differences between regions (P < 0.001) and between urban and rural populations were highly significant (P = 0.003), but no age differences were detected (P = 0.195).


In a previous report, we used the multiplex bead assay to determine anti-tetanus toxoid antibody levels in Cambodian women of child-bearing age and demonstrated that the estimates of population immunity derived from the multiplex testing were very similar to those derived from the “gold standard” assay methodologies [7]. Here we demonstrate that multiplexed antibody assays, when integrated into the robust, population-based Cambodian serologic survey framework, can be used to provide nationally-representative estimates of the presence and distribution of a number of parasitic diseases of public health importance. Although others have used multiplex assays to measure multiple anti-parasite antibody responses [35], this report is, to our knowledge, the first to generate national parasitic disease estimates from multiplexed serologic antibody assays.

Cambodia recently completed five years of mass drug administration (MDA) to eliminate lymphatic filariasis in a small number of northern and northeastern provinces where the presence of infection had been documented by antigen surveys ( [36]. Our results demonstrate the presence of significant residual antibody reactivity in the geographic North area where the MDA occurred and, perhaps of greater importance, its relative absence in areas where MDA was not carried out. These results are an important confirmation of the baseline mapping data that was used as the basis for determining where to implement MDA. The presence of residual antibody following MDA, as high as 60% in one EA, is not surprising as antifilarial antibody responses in adults are known to be long-lived [37, 38]. Although sampling of children may be of greater value in the post-MDA setting as a measure of incident seroconversions, these results suggest the potential use of LF antibody testing as a tool for LF surveillance. Additional information on the longevity of responses in adults is needed to guide recommendations on the use of antibody surveys for post-MDA surveillance.

The two other vector borne parasitic infections in our panel, P. falciparum and P. vivax malaria, were also focally distributed with seroprevalence for PfMSP119 antibody approaching 100% in some EAs (S1 Data). Both of our national malaria seroprevalence estimates (4.6% for P. falciparum and 4.6% for P. vivax) were considerably higher than the 0.9% blood film parasite prevalence estimate for all species of malaria generated by the Cambodia Ministry of Health in 2010 [39]. From samples collected in Cambodia in 2005, Cook et al. [40] reported a P. falciparum peak seasonal seroprevalence of 49.2% compared to a parasite prevalence by slide microscopy of only 3.4% (November, western provinces) and a P. vivax seroprevalence of 20.2% compared to a 10.7% parasite prevalence (August, eastern province). The discrepancies between the parasite prevalence by blood film microscopy and the parasite-specific IgG antibody prevalence may reflect low malaria parasite loads that remain below the limit of microscopic detection [41, 42], or, as in the case of LF described above, may result from a long IgG titer half-life following successful treatment [43]. Although the public health value of malaria serosurveys in adults may be limited to confirming the known distributions of those infections, serosurveys in young children, as with LF, may provide useful surveillance data for mapping transmission foci in the context of malaria elimination efforts and may offer an opportunity to monitor the impact of interventions by documenting reductions in seroprevalence over time [44, 45].

From our MBA results, prevalence of IgG antibody to toxoplasmosis (3.5–7.3%) and to cysticercosis (1.3–3.3%) was relatively low across all geographic regions. Few surveys have been conducted for either of these infections in Cambodia [46, 47], but our values are consistent with the limited information available. Seroprevalence of IgG antibodies to T. gondii among women <40 years of age in Phnom Penh was 8.4% in one small study [48]. A low seroprevalence suggests that the majority of women of child-bearing age in Cambodia are at risk of primary T. gondii infection and could, if infected during pregnancy, transmit toxoplasmosis to their babies in utero with serious health consequences [49, 50].

Recent stool-based detection surveys by Khieu et al. have found low levels of Taenia solium tapeworm infection in Cambodia: 0.4% in Preah Vihear province, 0.4% in children in Kandal province, and only 0.1% in Takeo province [5153]. National estimates of infection prevalence among school children in neighboring Lao PDR were similarly low: 0–1.8% at the provincial level by stool assay [54]. The relatively low prevalence of intestinal tapeworm infection and the low prevalence of antibodies to the cysticercosis antigen in our study of adult women suggest that the risk of eliciting neurocysticercosis through mass drug administration with either praziquantel (for schistosomiasis) or albendazole (for soil transmitted helminthiasis) is likely to be low in this setting- a useful observation for the Ministry of Health in planning NTD interventions.

A somewhat surprising result from our study was the high seroprevalence of S. stercoralis infection throughout Cambodia. S. stercoralis is thought to establish life-long infection because of its propensity for autoinfection [55], and, in immunocompromised patients, a hyperinfection syndrome with a high case mortality may result [56]. The sensitivity of the S. stercoralis assay determined using samples from stool-confirmed cases suggested that the assay that was only 84% sensitive. Thus, it is possible that our results are, in fact, an underestimate of true infection prevalence. Previous surveys have documented a high prevalence (21–44.7%) of strongyloidiasis using stool assays [5153]; the present results establish that this problem is national in scope. Strongyloidiasis does respond to ivermectin therapy and MDA with ivermectin is a cornerstone of efforts to eliminate onchocerciasis and lymphatic filariasis in sub-Saharan Africa; however, there is currently no WHO guidance on either the dosage or treatment schedule that would be required to carry out MDA with ivermectin to control Strongyloides in other settings. In addition, donation programs for this drug are currently restricted to the two filarial infections.

A key factor in the successful completion of this integrated survey was the forward-looking decision of survey planners to include specific language in the consent form that permitted testing for multiple infections. Such permissive language is not currently a standard feature of most surveys, and obtaining ethical approvals for retrospective testing of stored specimens can be problematic. When serum or blood spot collection is included in population-based surveys, survey planners should include permissive language in consent forms to allow a broader approach to integrated serosurveys.

Although multiplexing technology has tremendous potential for integrated serosurveys, some limitations in our study must be acknowledged. First, defining robust cutoffs to determine seropositivity can be challenging for some antigens, especially when banks of true negative sera and of positive sera from parasitologically confirmed cases are not readily available. For most antigens in our MBA panel, we used a non-endemic negative control sample set in order to establish a cutoff. This approach may not have been ideal, and additional efforts will be needed to standardize procedures and cutoff values across multiple labs.

Second, while we included in our MBA panel only highly purified recombinant antigens that had been successfully used in other serologic assay formats, sensitivity and specificity are a potential concern, especially when only one parasite antigen is used in the multiplex. Based on the earlier work of Bousema et al. [57], the antibody responses to the two Plasmodium spp. MSP119 proteins are not expected to be cross-reactive, but we are currently examining this in more detail. We have, however, observed that the distribution of responses to helminth antigens, in particular, may be influenced by the background exposures to other helminth parasites and cross-reactivities may result in false-positives in the Bm14 response [20]. Such specificity concerns can be mitigated by including multiple parasite antigens in the MBA, as we did here with three unrelated LF antigens.

Third, the current survey only included women of child-bearing age and was specifically designed to provide seroprevalence estimates for tetanus, and rubella at the regional level [6, 7]. No epidemiologic information relative to parasitic diseases (i.e., bed net use) was collected. While the survey was well-suited for the concurrent analysis of congenital toxoplasmosis risk, the possibility of gender- or age-specific differences in either the prevalence or distribution of some of the other infections of interest must be acknowledged. For example, several studies have shown that men have a higher prevalence of strongyloidiasis than women [51, 52], and gender differences in malaria prevalence are often noted in Cambodia because men are more frequently exposed to vector mosquitoes while working in sylvan environments [58, 59]. Similarly, the study design did not take into account potential seasonal differences (important for malaria) as samples were collected only in November and December of 2012 at the beginning of the dry season [40].

Fourth, because of their small populations and remoteness, the provinces with the highest expected levels of malaria and LF were represented in the national survey by few EAs. This reflects the fact that the study was powered to compare regional prevalence estimates rather than estimates at the province, district, or EA level. Nevertheless, hot spots of parasite-specific antibody responses were observed in the nationwide survey, and, once identified, these areas could certainly be targeted for more focal screening in future surveys.

Despite these limitations, the use of the antibody multiplex assay in the context of a nationally representative survey provides a proof of principle of the potential utility of integrated programmatic monitoring and evaluation for many diseases. The multiplex assay is a flexible platform that can integrate monitoring and evaluation opportunities for various conditions and that can easily be adapted to meet country needs. It is our hope that this work will help further the idea of combining efforts for integrated monitoring and surveillance activities among global public health organizations.

Supporting Information

S1 Fig. Median plots for P. falciparum MSP142 3D7 and FVO antibody responses.


S1 Table. Weighted national estimates for toxoplasmosis and cysticercosis.


S1 Data. Supporting information data file.



The authors thank C. Kauth and H. Bujard (Heidelberg University, Heidelberg, Germany) for PfMSP119 protein and T. Nutman (NIH, Bethesda, MD) for Wb123 protein. We thank J. Barnwell (CDC, Atlanta, GA) for Belem strain P. vivax DNA and Ira Goldman (CDC, Atlanta, GA) for DNA sequencing assistance. The authors express their gratitude to the study participants and to the field teams in Cambodia.

Use of trade names is for identification only and does not imply endorsement by the Public Health Service or by the U.S. Department of Health and Human Services. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author Contributions

Conceived and designed the experiments: JWP MHJ DMM BM SB KW SCS NWL VU CJG RH SM PJL. Performed the experiments: JWP MHJ DMM BM SB KW SCS NWL VU CJG RH SM PJL. Analyzed the data: JWP MHJ DMM KW PJL. Contributed reagents/materials/analysis tools: JWP MHJ DMM KW NWL VU. Wrote the paper: JWP MHJ DMM BM SB KW SCS NWL VU CJG RH SM PJL.


  1. 1. Savioli L, Daumerie D. Accelerating work to overcome the global impact of neglected tropical diseases: A roadmap for implementation. Geneva, Switzerland: World Health Organization; 2012.
  2. 2. Schar F, Trostdorf U, Giardina F, Khieu V, Muth S, Marti H, et al. Strongyloides stercoralis: Global Distribution and Risk Factors. PLoS neglected tropical diseases. 2013;7(7):e2288. pmid:23875033; PubMed Central PMCID: PMCPMC3708837.
  3. 3. Krolewiecki AJ, Lammie P, Jacobson J, Gabrielli AF, Levecke B, Socias E, et al. A public health response against Strongyloides stercoralis: time to look at soil-transmitted helminthiasis in full. PLoS neglected tropical diseases. 2013;7(5):e2165. pmid:23675541; PubMed Central PMCID: PMCPMC3649958.
  4. 4. Fabic MS, Choi Y, Bird S. A systematic review of Demographic and Health Surveys: data availability and utilization for research. Bulletin of the World Health Organization. 2012;90:604–12. pmid:22893744
  5. 5. Lammie PJ, Moss DM, Brook Goodhew E, Hamlin K, Krolewiecki A, West SK, et al. Development of a new platform for neglected tropical disease surveillance. International journal for parasitology. 2012;42(9):797–800. pmid:22846784.
  6. 6. Mao B, Chheng K, Wannemuehler K, Vynnycky E, Buth S, Soeung SC, et al. Immunity to polio, measles and rubella in women of child-bearing age and estimated congenital rubella syndrome incidence, Cambodia, 2012. Epidemiology and infection. 2014:1–10. pmid:25373419.
  7. 7. Scobie HM, Mao B, Buth S, Wannemuehler KA, Sorensen C, Kannarath C, et al. Tetanus immunity among women aged 15–39 years in Cambodia: A national population-based serosurvey, 2012. Clinical and vaccine immunology: CVI. 2016. pmid:27053629.
  8. 8. Ravi V, Ramachandran S, Thompson RW, Andersen JF, Neva FA. Characterization of a recombinant immunodiagnostic antigen (NIE) from Strongyloides stercoralis L3-stage larvae. Molecular and biochemical parasitology. 2002;125(1–2):73–81. pmid:12467975.
  9. 9. Prince JB, Auer KL, Huskinson J, Parmley SF, Araujo FG, Remington JS. Cloning, expression, and cDNA sequence of surface antigen P22 from Toxoplasma gondii. Molecular and biochemical parasitology. 1990;43(1):97–106. pmid:2290448.
  10. 10. Parmley SF, Sgarlato GD, Mark J, Prince JB, Remington JS. Expression, characterization, and serologic reactivity of recombinant surface antigen P22 of Toxoplasma gondii. Journal of clinical microbiology. 1992;30(5):1127–33. pmid:1583109; PubMed Central PMCID: PMC265236.
  11. 11. Hancock K, Pattabhi S, Whitfield FW, Yushak ML, Lane WS, Garcia HH, et al. Characterization and cloning of T24, a Taenia solium antigen diagnostic for cysticercosis. Molecular and biochemical parasitology. 2006;147(1):109–17. pmid:16540186.
  12. 12. Blackman MJ, Ling IT, Nicholls SC, Holder AA. Proteolytic processing of the Plasmodium falciparum merozoite surface protein-1 produces a membrane-bound fragment containing two epidermal growth factor-like domains. Molecular and biochemical parasitology. 1991;49(1):29–33. pmid:1775158.
  13. 13. Egan AF, Chappel JA, Burghaus PA, Morris JS, McBride JS, Holder AA, et al. Serum antibodies from malaria-exposed people recognize conserved epitopes formed by the two epidermal growth factor motifs of MSP1(19), the carboxy-terminal fragment of the major merozoite surface protein of Plasmodium falciparum. Infection and immunity. 1995;63(2):456–66. pmid:7822010; PubMed Central PMCID: PMC173017.
  14. 14. del Portillo HA, Longacre S, Khouri E, David PH. Primary structure of the merozoite surface antigen 1 of Plasmodium vivax reveals sequences conserved between different Plasmodium species. Proceedings of the National Academy of Sciences of the United States of America. 1991;88(9):4030–4. pmid:2023952; PubMed Central PMCID: PMC51587.
  15. 15. Longacre S, Mendis KN, David PH. Plasmodium vivax merozoite surface protein 1 C-terminal recombinant proteins in baculovirus. Molecular and biochemical parasitology. 1994;64(2):191–205. pmid:7935598.
  16. 16. Chandrashekar R, Curtis KC, Ramzy RM, Liftis F, Li BW, Weil GJ. Molecular cloning of Brugia malayi antigens for diagnosis of lymphatic filariasis. Molecular and biochemical parasitology. 1994;64(2):261–71. pmid:7935604.
  17. 17. Dissanayake S, Xu M, Nkenfou C, Piessens WF. Molecular cloning and serological characterization of a Brugia malayi pepsin inhibitor homolog. Molecular and biochemical parasitology. 1993;62(1):143–6. pmid:8114819.
  18. 18. Kubofcik J, Fink DL, Nutman TB. Identification of Wb123 as an early and specific marker of Wuchereria bancrofti infection. PLoS neglected tropical diseases. 2012;6(12):e1930. pmid:23236529; PubMed Central PMCID: PMC3516582.
  19. 19. Steel C, Golden A, Kubofcik J, LaRue N, de Los Santos T, Domingo GJ, et al. Rapid Wuchereria bancrofti-specific antigen Wb123-based IgG4 immunoassays as tools for surveillance following mass drug administration programs on lymphatic filariasis. Clinical and vaccine immunology: CVI. 2013;20(8):1155–61. pmid:23740923; PubMed Central PMCID: PMCPMC3754496.
  20. 20. Lammie PJ, Weil G, Noordin R, Kaliraj P, Steel C, Goodman D, et al. Recombinant antigen-based antibody assays for the diagnosis and surveillance of lymphatic filariasis—a multicenter trial. Filaria journal. 2004;3(1):9. pmid:15347425; PubMed Central PMCID: PMC519021.
  21. 21. Hamlin KL, Moss DM, Priest JW, Roberts J, Kubofcik J, Gass K, et al. Longitudinal monitoring of the development of antifilarial antibodies and acquisition of Wuchereria bancrofti in a highly endemic area of Haiti. PLoS neglected tropical diseases. 2012;6(12):e1941. pmid:23236534; PubMed Central PMCID: PMC3516578.
  22. 22. Priest JW, Moss DM, Arnold BF, Hamlin K, Jones CC, Lammie PJ. Seroepidemiology of Toxoplasma in a coastal region of Haiti: multiplex bead assay detection of immunoglobulin G antibodies that recognize the SAG2A antigen. Epidemiology and infection. 2015;143(3):618–30. pmid:25600668.
  23. 23. Rascoe LN, Price C, Shin SH, McAuliffe I, Priest JW, Handali S. Development of Ss-NIE-1 recombinant antigen based assays for immunodiagnosis of strongyloidiasis. PLoS neglected tropical diseases. 2015;9(4):e0003694. pmid:25860665; PubMed Central PMCID: PMC4393093.
  24. 24. Moss DM, Montgomery JM, Newland SV, Priest JW, Lammie PJ. Detection of cryptosporidium antibodies in sera and oral fluids using multiplex bead assay. The Journal of parasitology. 2004;90(2):397–404. pmid:15165066.
  25. 25. Moss DM, Priest JW, Boyd A, Weinkopff T, Kucerova Z, Beach MJ, et al. Multiplex bead assay for serum samples from children in Haiti enrolled in a drug study for the treatment of lymphatic filariasis. The American journal of tropical medicine and hygiene. 2011;85(2):229–37. pmid:21813840; PubMed Central PMCID: PMC3144818.
  26. 26. Corstjens PL, de Dood CJ, Priest JW, Tanke HJ, Handali S, Cysticercosis Working Group in P. Feasibility of a lateral flow test for neurocysticercosis using novel up-converting nanomaterials and a lightweight strip analyzer. PLoS neglected tropical diseases. 2014;8(7):e2944. pmid:24992686; PubMed Central PMCID: PMC4080996.
  27. 27. Lucchi NW, Tongren JE, Jain V, Nagpal AC, Kauth CW, Woehlbier U, et al. Antibody responses to the merozoite surface protein-1 complex in cerebral malaria patients in India. Malaria journal. 2008;7:121. pmid:18601721; PubMed Central PMCID: PMC2491629.
  28. 28. Priest JW, Moss DM, Visvesvara GS, Jones CC, Li A, Isaac-Renton JL. Multiplex assay detection of immunoglobulin G antibodies that recognize Giardia intestinalis and Cryptosporidium parvum antigens. Clinical and vaccine immunology: CVI. 2010;17(11):1695–707. pmid:20876825; PubMed Central PMCID: PMC2976096.
  29. 29. Putaporntip C, Jongwutiwes S, Sakihama N, Ferreira MU, Kho W-G, Kaneko A, et al. Mosaic organization and heterogeneity in frequency of allelic recombination of the Plasmodium vivax merozoite surface protein-1 locus. Proceedings of the National Academy of Sciences. 2002;99(25):16348–53.
  30. 30. Waterboer T, Sehr P, Pawlita M. Suppression of non-specific binding in serological Luminex assays. Journal of immunological methods. 2006;309(1–2):200–4. pmid:16406059.
  31. 31. Arnold BF, Priest JW, Hamlin KL, Moss DM, Colford JM Jr., Lammie PJ. Serological measures of malaria transmission in Haiti: comparison of longitudinal and cross-sectional methods. PloS one. 2014;9(4):e93684. pmid:24691467; PubMed Central PMCID: PMC3972142.
  32. 32. Jones JL, Kruszon-Moran D, Sanders-Lewis K, Wilson M. Toxoplasma gondii infection in the United States, 1999 2004, decline from the prior decade. The American journal of tropical medicine and hygiene. 2007;77(3):405–10. pmid:17827351.
  33. 33. Sabin AB, Feldman HA. Dyes as Microchemical Indicators of a New Immunity Phenomenon Affecting a Protozoon Parasite (Toxoplasma). Science. 1948;108(2815):660–3. pmid:17744024.
  34. 34. National Institute of Statistics, Ministry of Planning, Royal Government of Cambodia. General Population Census of Cambodia 2008: final census results 2009 [August 11, 2014]. Available from:
  35. 35. Fujii Y, Kaneko S, Nzou SM, Mwau M, Njenga SM, Tanigawa C, et al. Serological surveillance development for tropical infectious diseases using simultaneous microsphere-based multiplex assays and finite mixture models. PLoS neglected tropical diseases. 2014;8(7):e3040. pmid:25078404; PubMed Central PMCID: PMC4117437.
  36. 36. Leang R, Socheat D, Bin B, Bunkea T, Odermatt P. Assessment of disease and infection of lymphatic filariasis in Northeastern Cambodia. Tropical medicine & international health: TM & IH. 2004;9(10):1115–20. pmid:15482405.
  37. 37. Supali T, Djuardi Y, Bradley M, Noordin R, Ruckert P, Fischer PU. Impact of six rounds of mass drug administration on Brugian filariasis and soil-transmitted helminth infections in eastern Indonesia. PLoS neglected tropical diseases. 2013;7(12):e2586. pmid:24349595; PubMed Central PMCID: PMC3861187.
  38. 38. Wamae CN, Roberts JM, Eberhard ML, Lammie PJ. Kinetics of circulating human IgG4 after diethylcarbamazine and ivermectin treatment of bancroftian filariasis. The Journal of infectious diseases. 1992;165(6):1158–60. pmid:1583340.
  39. 39. National Centre for Parasitology EaMC, Royal Government of Cambodia. Cambodia malaria survey 20102010; (March 31):[1–178 pp.]. Available from:
  40. 40. Cook J, Speybroeck N, Sochanta T, Somony H, Sokny M, Claes F, et al. Sero-epidemiological evaluation of changes in Plasmodium falciparum and Plasmodium vivax transmission patterns over the rainy season in Cambodia. Malaria journal. 2012;11:86. pmid:22443375; PubMed Central PMCID: PMC3364147.
  41. 41. Steenkeste N, Rogers WO, Okell L, Jeanne I, Incardona S, Duval L, et al. Sub-microscopic malaria cases and mixed malaria infection in a remote area of high malaria endemicity in Rattanakiri province, Cambodia: implication for malaria elimination. Malaria journal. 2010;9:108. pmid:20409349; PubMed Central PMCID: PMC2868861.
  42. 42. Okell LC, Bousema T, Griffin JT, Ouedraogo AL, Ghani AC, Drakeley CJ. Factors determining the occurrence of submicroscopic malaria infections and their relevance for control. Nature communications. 2012;3:1237. pmid:23212366; PubMed Central PMCID: PMC3535331.
  43. 43. Drakeley CJ, Corran PH, Coleman PG, Tongren JE, McDonald SL, Carneiro I, et al. Estimating medium- and long-term trends in malaria transmission by using serological markers of malaria exposure. Proceedings of the National Academy of Sciences of the United States of America. 2005;102(14):5108–13. pmid:15792998; PubMed Central PMCID: PMC555970.
  44. 44. Ramzy RM, El Setouhy M, Helmy H, Ahmed ES, Abd Elaziz KM, Farid HA, et al. Effect of yearly mass drug administration with diethylcarbamazine and albendazole on bancroftian filariasis in Egypt: a comprehensive assessment. Lancet. 2006;367(9515):992–9. pmid:16564361.
  45. 45. Cook J, Reid H, Iavro J, Kuwahata M, Taleo G, Clements A, et al. Using serological measures to monitor changes in malaria transmission in Vanuatu. Malaria journal. 2010;9:169. pmid:20553604; PubMed Central PMCID: PMC2904786.
  46. 46. Nissapatorn V. Toxoplasmosis: A silent threat in southeast Asia. Research Journal Parasitology. 2007;2(1):1–12.
  47. 47. Willingham AL 3rd, Wu HW, Conlan J, Satrija F. Combating Taenia solium cysticercosis in Southeast Asia an opportunity for improving human health and livestock production. Advances in parasitology. 2010;72:235–66. pmid:20624534.
  48. 48. Richard-Lenoble D, Cheng HK, Sire JM, Duong TH, Cheng TV, Phanny I, et al. Toxoplasmose au Cambodge: premiere evaluation serologique a Phnom Penh. Cahiers Sante. 1999;9:377–82.
  49. 49. Pappas G, Roussos N, Falagas ME. Toxoplasmosis snapshots: global status of Toxoplasma gondii seroprevalence and implications for pregnancy and congenital toxoplasmosis. International journal for parasitology. 2009;39(12):1385–94. pmid:19433092.
  50. 50. Torgerson PR, Mastroiacovo P. The global burden of congenital toxoplasmosis: a systematic review. Bulletin of the World Health Organization. 2013;91(7):501–8. pmid:23825877; PubMed Central PMCID: PMC3699792.
  51. 51. Khieu V, Schar F, Forrer A, Hattendorf J, Marti H, Duong S, et al. High prevalence and spatial distribution of Strongyloides stercoralis in rural Cambodia. PLoS neglected tropical diseases. 2014;8(6):e2854. pmid:24921627; PubMed Central PMCID: PMC4055527.
  52. 52. Khieu V, Schar F, Marti H, Bless PJ, Char MC, Muth S, et al. Prevalence and risk factors of Strongyloides stercoralis in Takeo Province, Cambodia. Parasites & vectors. 2014;7:221. pmid:24886763; PubMed Central PMCID: PMC4029906.
  53. 53. Khieu V, Schar F, Marti H, Sayasone S, Duong S, Muth S, et al. Diagnosis, treatment and risk factors of Strongyloides stercoralis in schoolchildren in Cambodia. PLoS neglected tropical diseases. 2013;7(2):e2035. pmid:23409200; PubMed Central PMCID: PMC3566990.
  54. 54. Rim HJ, Chai JY, Min DY, Cho SY, Eom KS, Hong SJ, et al. Prevalence of intestinal parasite infections on a national scale among primary schoolchildren in Laos. Parasitology research. 2003;91(4):267–72. pmid:14574555.
  55. 55. Greaves D, Coggle S, Pollard C, Aliyu SH, Moore EM. Strongyloides stercoralis infection. Bmj. 2013;347:f4610. pmid:23900531.
  56. 56. Marcos LA, Terashima A, Dupont HL, Gotuzzo E. Strongyloides hyperinfection syndrome: an emerging global infectious disease. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2008;102(4):314–8. pmid:18321548.
  57. 57. Bousema T, Youssef RM, Cook J, Cox J, Alegana VA, Amran J, et al. Serologic markers for detecting malaria in areas of low endemicity, Somalia, 2008. Emerg Infect Dis. 2010;16(3):392–9. pmid:20202412; PubMed Central PMCID: PMCPMC3322012.
  58. 58. Incardona S, Vong S, Chiv L, Lim P, Nhem S, Sem R, et al. Large-scale malaria survey in Cambodia: novel insights on species distribution and risk factors. Malaria journal. 2007;6:37. pmid:17389041; PubMed Central PMCID: PMC1847522.
  59. 59. Dysoley L, Kaneko A, Eto H, Mita T, Socheat D, Borkman A, et al. Changing patterns of forest malaria among the mobile adult male population in Chumkiri District, Cambodia. Acta tropica. 2008;106(3):207–12. pmid:18471797.