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Article

Diagnosis of Schistosomiasis without a Microscope: Evaluating Circulating Antigen (CCA, CAA) and DNA Detection Methods on Banked Samples of a Community-Based Survey from DR Congo

by
Pytsje T. Hoekstra
1,*,
Joule Madinga
2,3,
Pascal Lutumba
4,5,
Rebecca van Grootveld
6,
Eric A. T. Brienen
1,
Paul L. A. M. Corstjens
7,
Govert J. van Dam
1,
Katja Polman
3,8 and
Lisette van Lieshout
1
1
Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
2
Institute of Health and Society, Université Catholique de Louvain, 1348 Brussels, Belgium
3
Department of Biomedical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium
4
Institut National de Recherche Biomédicale, Kinshasa 1197, Democratic Republic of the Congo
5
Department of Tropical Medicine, University of Kinshasa, Kinshasa 7948, Democratic Republic of the Congo
6
Department of Clinical Microbiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
7
Department of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
8
Department of Health Sciences, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2022, 7(10), 315; https://doi.org/10.3390/tropicalmed7100315
Submission received: 6 September 2022 / Revised: 13 October 2022 / Accepted: 17 October 2022 / Published: 19 October 2022

Abstract

:
Detection of Schistosoma eggs in stool or urine is known for its low sensitivity in diagnosing light infections. Alternative diagnostics with better sensitivity while remaining highly specific, such as real-time PCR and circulating antigen detection, are progressively used as complementary diagnostic procedures but have not yet replaced microscopy. This study evaluates these alternative methods for the detection of Schistosoma infections in the absence of microscopy. Schistosomiasis presence was determined retrospectively in 314 banked stool and urine samples, available from a previous survey on the prevalence of taeniasis in a community in the Democratic Republic of the Congo, using real-time PCR, the point-of-care circulating cathodic antigen (POC-CCA) test, as well as the up-converting particle lateral flow circulating anodic antigen (UCP-LF CAA) test. Schistosoma DNA was present in urine (3%) and stool (28%) samples, while CCA (28%) and CAA (69%) were detected in urine. Further analysis of the generated data indicated stool-based PCR and the POC-CCA test to be suitable diagnostics for screening of S. mansoni infections, even in the absence of microscopy. A substantial proportion (60%) of the 215 CAA-positive cases showed low antigen concentrations, suggesting that even PCR and POC-CCA underestimated the “true” number of schistosome positives.

1. Introduction

Schistosomiasis is a neglected tropical disease affecting over 250 million people worldwide [1], with an estimated 779 million people at risk of the disease [2]. Traditionally, schistosomiasis is diagnosed through microscopical examination of urine (for Schistosoma haematobium) or stool (for S. mansoni) [3,4]. Although this method is highly specific, it is also known for its low sensitivity—especially in low-intensity infections—leading to underestimation of the prevalence of infection [1]. Alternative and more sensitive diagnostic methods, such as real-time PCR and circulating antigen detection, are progressively used as complementary diagnostics, but these methods do not yet completely replace microscopy. Detecting Schistosoma DNA in stool or urine by real-time PCR is proven to be highly specific and more sensitive than microscopy [5,6]. Circulating cathodic antigen (CCA) and circulating anodic antigen (CAA) are two genus-specific carbohydrate antigens that are continuously regurgitated by live Schistosoma worms into the bloodstream of the host [7,8], from where they are excreted in the urine [8,9,10] with limited day-to-day variations [11,12]. These characteristics make them excellent markers for detecting active Schistosoma infections as well as a proxy for worm burden [13]. A point-of-care test is commercially available for the detection of CCA in urine and is particularly useful for diagnosing intestinal schistosomiasis [14,15,16,17,18,19,20,21] and, to a lesser extent, also for urogenital schistosomiasis [22]. This test has been studied extensively and is currently recommended by the WHO as an alternative to microscopy for diagnosing intestinal schistosomiasis [23,24,25,26]. CAA has a chemically unique structure and is detected using highly sensitive luminescent up-converting reporter particle (UCP) technology in combination with lateral flow (LF) [27]. This laboratory-based UCP-LF CAA test is quantitative and specific for the main human schistosome species (S. haematobium, S. mansoni, S. japonicum, and S. mekongi) [27,28,29,30]. The aim of the current study was to investigate the application of a panel of non-microscopy diagnostic methods to determine the presence of Schistosoma infections in the absence of microscopy, in order to provide better insight into the performance of these alternative methods as well as to determine whether an accurate diagnosis of schistosomiasis can be made without traditional microscopy.

2. Materials and Methods

2.1. Study Design and Data Collection

The current study was performed on banked urine and stool samples which were available from a previous study on the prevalence and risk factors of Taenia solium cysticercosis conducted in 2009 in Malanga, Bas-Congo, the Democratic Republic of the Congo [31,32]. After obtaining informed consent, participants were asked to provide a stool and urine sample. Due to a lack of time and staff, no extended parasitological examination was performed at the time of sample collection. Samples were stored at 4 °C until transport to the local hospital laboratory, where urine samples were stored at −20 °C. Of each collected stool sample, an aliquot of approximately 1 g was mixed with 2 mL of 70% ethanol and stored at −20 °C. All samples were transported under frozen conditions to the Institute of Tropical Medicine, Antwerp, Belgium, and subsequently transferred to the Leiden University Medical Center (LUMC), Leiden, The Netherlands, and stored at −20 °C until use.

2.2. Laboratory Analysis

2.2.1. Real-Time PCR

After DNA extraction, the Schistosoma genus-specific real-time PCR was executed as described previously, using a 200 µL sample volume [5,6,32]. Schistosoma-specific primers (Ssp48F and Ssp124R) and the double-labeled probe Ssp78T were used to amplify a 77-bp fragment of the internal transcribed spacer-2 (ITS-2) region. An internal control (Phocin Herpes Virus-1) was included for the detection of potential inhibition of amplification. A CFX real-time detection system (Bio-Rad Laboratories, USA) was used for amplification, detection and analysis. The PCR output consisted of a cycle-threshold (Ct)-value, representing the amplification cycle in which the level of fluorescent signal exceeded the background fluorescence and thereby indicating the presence of parasite-specific DNA. Since its implementation, the LUMC-team scored 100% in sensitivity and specificity of their Schistosoma PCR at the annual international Helminths External Molecular Assessment Scheme (HEMQAS) provided by the Dutch Foundation for Quality Assessment in Medical Laboratories (SKML) [33]. Intensity of infection was classified arbitrarily as either negative (Ct = 50), low intensity (35 ≤ Ct < 50), medium intensity (30 ≤ Ct < 35), high intensity (25 ≤ Ct < 30), or very high intensity (Ct < 25), based on previous studies [5,34,35].

2.2.2. POC-CCA

The commercially available POC-CCA test (batch no. 50174; Rapid Medical Diagnostics, Pretoria, South Africa) was performed for the detection of CCA, according to the manufacturer’s instructions. In brief, one drop of urine was added to the well of the cassette, followed by one drop of buffer (provided with the test kit). Results were read after 20 min. In case the control line did not develop, the test was considered invalid and the sample was retested. Each POC-CCA cassette was scored as negative, trace (weak line), or positive (1+, 2+, or 3+) by three independent readers, after which the average was taken as the final score. POC-CCA traces were considered negative for the analysis [36].

2.2.3. UCP-LF CAA

The UCP-LF CAA test was performed for the detection of CAA, as described previously [27,37,38]. All urine samples were tested via the UCAA10 format using 10 µL of urine, and subsequently, also with the most sensitive concentration format using 2 mL of urine (UCAA2000). In brief, each urine sample was mixed with an equal volume of 4% trichloroacetic acid, incubated and centrifuged. In the case of the UCAA2000 format, the clear supernatant was concentrated to 20 µL using a 4 mL centrifugal device (Amicon Ultra-4, Millipore, Merck Chemicals B.V., Amsterdam, The Netherlands). The resulting 20 µL concentrate was subsequently used in the assay. Samples with known CAA-levels were included as a reference standard to quantify CAA concentrations as well as to validate the cut-off of the assay. A CAA concentration below 0.1 pg/mL was considered negative [27].

2.3. Statistical Analysis

Participants with a complete dataset (i.e., all diagnostic tests performed) were included in the final analysis. Statistical analyses were performed using SPSS version 25 (IBM). Data were summarized using descriptive statistics. The agreement between the diagnostic methods was determined by Kappa (κ) statistics. The nonparametric Spearman’s rank correlation was applied to measure the relationship between PCR Ct-values, POC-CCA scores and CAA-levels. To compare the sensitivity and specificity of the different diagnostic methods, McNemar’s χ2 test was used. In the absence of a suitable reference standard, diagnostic accuracy was compared to a composite reference standard (CRS) assuming 100% specificity for PCR as well as for UCP-LF CAA, meaning that an individual was considered positive if PCR and/or UCP-LF CAA was positive.

2.4. Ethics Approval and Consent to Participate

Ethical permission for this study was obtained from the Ethical Committee of the University of Kinshasa, DRC, as well as the Institutional Review Board of the Institute of Tropical Medicine in Antwerp, Belgium (No. 650/09) and the Ethical Committee of the University of Antwerp, Belgium (No. 9/11/47). All participants provided written informed consent before the start of the study.

3. Results

A complete set of urine and stool samples was available from 314 individuals (46% male, median age 18 years, range 1–80 years). Figure 1 presents an overview of the percentage of positive results of the different diagnostic methods. The highest number of positives was found with the UCP-LF CAA test; in 215 out of 314 (69%) individuals, CAA was detected in urine. The POC-CCA test was positive in 86 (27%) individuals, while 44 (14%) individuals showed a trace. DNA was detected in stool samples of 87 (28%) individuals, while in 10 (3%) individuals, DNA was detected in urine.

3.1. Intensity of Infection

The intensity of infection is shown in Table 1. Of the 87 individuals positive by PCR in stool, the majority of infections were of high intensity (58%). Most urine PCR positives were of low to moderate intensity (70%). With the POC-CCA, mainly low-intensity infections were found (56%). The majority of urine CAA positives were of very low to low intensity (61%). Of those individuals positive by UCP-LF CAA only, the median CAA-level was 1.1 pg/mL (range 0.1–298 pg/mL). In Figure 2, the intensity of infection per age group is demonstrated for each diagnostic method. With increasing age, the number of Schistosoma DNA positives first increased, peaking in the age group of 15–24 years, and subsequently decreased with increasing age. CCA was detectable in all age groups, but overall a lower prevalence was observed in the oldest age group. Overall, the number of CAA positives was similar in all age groups, except in the youngest (≤5 years) where fewer positives were found. More high-intensity infections were observed in children aged 10–19 years compared to the other age groups.

3.2. Diagnostic Accuracy

The agreement between PCR, POC-CCA, and UCP-LF CAA is shown in Figure 3 and Table 2. Of the 314 individuals, 60 (19%) tested positive with all three diagnostic methods, while 228 (73%) individuals tested positive with at least one of the three diagnostic methods. Only one of the diagnostic methods was positive in 125 (40%) individuals; 6 individuals were positive by PCR in stool only, 7 individuals were positive by POC-CCA only, and 112 individuals were positive by UCP-LF CAA only. Of the 10 individuals with detectable DNA in urine, 2 were UCP-LF CAA positive as well, while 8 tested positive with all three additional diagnostic tests. The sensitivity and specificity of the different diagnostic methods compared to the CRS is shown in Table 3. The UCP-LF CAA test showed the highest sensitivity (97%). The PCR in stool and POC-CCA had a comparable sensitivity, 39% and 36%, respectively, while PCR in urine showed a poor sensitivity (5%).
The correlation between DNA-levels in stool and POC-CCA visual scores was strong (Spearman’s rho −0.62, p < 0.001); see Figure 4a. A moderate but still significant correlation was observed between the DNA levels in stool and CAA-levels in urine, as well as between CAA-levels in urine and POC-CCA visual scores (Spearman’s rho −0.55, p < 0.001 and 0.56, p < 0.001, respectively); see Figure 4.

4. Discussion

There is a need for a sensitive, specific, rapid and easy to perform diagnostic test for the diagnosis of schistosomiasis. This study is the first to describe the presence of schistosomiasis based on a combination of PCR and circulating antigen detection in the absence of traditional microscopy. It was designed to evaluate different diagnostic tests on banked stool and urine samples in order to provide better insight into the performance of the different tests as well as to determine whether an accurate estimate of the presence of schistosomiasis can be made without traditional microscopy. While a range of studies have evaluated the comparison between microscopy and PCR, or microscopy and circulating antigens, no studies have compared the outcome of real-time PCR on both stool and urine with urine CCA and CAA levels in the same study population.
Our results showed that both the field-applicable POC-CCA as well as the PCR in stool are equally suitable for a first screening of the schistosomiasis prevalence in an endemic region. A fair to moderate agreement was found between the diagnostic methods. Intensity categories of each diagnostic method were either pragmatic (POC-CCA, UCP-LF CAA) or arbitrary (PCR) and therefore difficult to compare, but when looking at an individual level, a positive correlation was observed between the increasing intensity of the POC-CCA visual score and CAA-levels in urine, which corresponds to previous findings [39,40]. Also, a strong correlation was observed between POC-CCA visual scores and Ct values. The majority of cases that were positive by POC-CCA and PCR (in stool) also had detectable CAA-levels in urine, confirming the ability of both tests to detect active Schistosoma infections. Still, numerous additional cases, mainly of low intensity (i.e., <10 pg/mL), were detected by UCP-LF CAA, suggesting that the percentage of schistosomiasis positives is much higher than assumed by POC-CCA and PCR alone. Indeed, the UCP-LF CAA test has proven to be an ultra-sensitive test for the detection of active Schistosoma infections [40,41].
The high number of cases detected by the diagnostic methods applied in the current study indicate substantial schistosomiasis transmission levels in this study population. The majority of infections are assumed to be caused by S. mansoni, based on the higher frequency of DNA present in stool samples compared to urine samples. Although the PCR assay used in this study was not species specific, Schistosoma spp. DNA detected in stool samples most likely indicates an infection with S. mansoni [5]. This was confirmed by the results of the POC-CCA, which is known to detect mainly S. mansoni infections. In this study, very few individuals were urine PCR positive, pointing towards a possible S. haematobium infection [6,35]. While these were all confirmed as Schistosoma spp positive by the UCP-LF CAA test, 8 out of 10 were also positive by POC-CCA and PCR in stool. This suggests a possible co-infection of S. haematobium with S. mansoni, although these urine samples might also have been contaminated with stool and, therefore, could represent an S. mansoni infection only. Alternatively, ectopic egg elimination cannot be excluded, as S. mansoni eggs have been occasionally observed in urine as well [42,43,44]. In such cases, microscopy could have provided additional information concerning the Schistosoma species, provided that the infection intensity was sufficiently high.
Urine CAA results showed a similar age-related distribution of Schistosoma infection compared to circulating antigen results as well as egg counts from previous studies [45,46]. The prevalence of infection increased with age, but did not decrease in adults, while the intensity of infection decreased in individuals of 20 years and older. Although a high number of positives was observed in school-aged children, still numerous cases were found in children <5 years of age as well as in adults, stressing the importance of improving treatment uptake in these age groups [47]. Furthermore, with increasing age, the presence of CCA and CAA indicates that worms are still present without a relationship with the number of eggs, as indicated by the decreasing number of Schistosoma egg DNA positives with increasing age.
While Schistosoma species could have been determined with microscopy, we believe it would not have added any extra value here since the detection of DNA in stool as well as CCA in urine (POC-CCA) both point towards the presence of S. mansoni infections. Furthermore, the diagnostic methods applied in this study have proven to be more sensitive compared to traditional microscopy, so it is likely that microscopy would have missed several cases due to its limited sensitivity, in particular in detecting low-intensity infections [14,48,49]. Moreover, microscopy is labor-intensive, and the costs are often higher than for example the POC-CCA [50]. Based on consumables only, the costs of real-time PCR and the UCP-LF CAA assay are roughly 10 times higher than POC-CCA. Therefore, in view of the recent recommendation from the WHO, the POC-CCA is considered to be a good alternative for microscopy. However, when more resources are available, real-time PCR and UCP-LF CAA could be considered to obtain a more accurate estimate of the presence of schistosomiasis.

5. Conclusions

A moderate to high percentage of Schistosoma infections was observed in this study population based on non-microscopy diagnostic methods. The results of this study indicate that the POC-CCA and PCR on stool are suitable screening tools for S. mansoni infections when microscopy is unavailable. However, both methods may still significantly underestimate the “true” number of Schistosoma infections since a large number of additional, mainly low positive, cases were found by the ultrasensitive and highly specific UCP-LF CAA test. In conclusion, even without microscopy, sufficient alternative diagnostic methods are available to accurately determine the presence as well as the intensity of schistosome infections in an endemic area.

Author Contributions

Conceptualization, J.M., K.P., L.v.L. and P.L.; methodology, J.M., K.P., L.v.L. and P.L.; formal analysis, G.J.v.D., L.v.L., P.L.A.M.C., P.T.H. and R.v.G.; investigation, E.A.T.B. and R.v.G.; resources, K.P., J.M. and P.L.; data curation, R.v.G. and P.T.H.; writing—original draft preparation, P.T.H.; writing—review and editing, E.A.T.B., G.J.v.D., L.v.L., J.M., K.P., P.L.A.M.C., P.L., P.T.H. and R.v.G.; visualization, P.T.H.; supervision, K.P. and L.v.L.; project administration, L.v.L., P.T.H. and R.v.G.; funding acquisition, L.v.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Prof. Dr. P.C. Flu Foundation (8244-30453), based in The Netherlands.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the University of Kinshasa, DRC, the Institutional Review Board of the Institute of Tropical Medicine in Antwerp, Belgium, as well as the Ethics Committee of the University of Antwerp, Belgium.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. All participants provided written informed consent before the start of the study.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Colley, D.G.; Andros, T.S.; Campbell, C.H., Jr. Schistosomiasis is more prevalent than previously thought: What does it mean for public health goals, policies, strategies, guidelines and intervention programs? Infect. Dis. Poverty 2017, 6, 63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Steinmann, P.; Keiser, J.; Bos, R.; Tanner, M.; Utzinger, J. Schistosomiasis and water resources development: Systematic review, meta-analysis, and estimates of people at risk. Lancet Infect. Dis. 2006, 6, 411–425. [Google Scholar] [CrossRef]
  3. Katz, N.; Chaves, A.; Pellegrino, J. A simple device for quantitative stool thick-smear technique in schistosomiasis mansoni. Rev. Inst. Med. Trop. Sao Paulo 1972, 14, 397–400. [Google Scholar] [PubMed]
  4. WHO. Helminth Control in School Age Children: A Guide for Managers of Control Programmes, 2nd ed.; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  5. Meurs, L.; Brienen, E.; Mbow, M.; Ochola, E.A.; Mboup, S.; Karanja, D.M.; Secor, W.E.; Polman, K.; van Lieshout, L. Is PCR the next reference standard for the diagnosis of Schistosoma in stool? A comparison with microscopy in Senegal and Kenya. PLoS Negl. Trop. Dis. 2015, 9, e0003959. [Google Scholar] [CrossRef]
  6. Obeng, B.B.; Aryeetey, Y.A.; de Dood, C.J.; Amoah, A.S.; Larbi, I.A.; Deelder, A.M.; Yazdanbakhsh, M.; Hartgers, F.C.; Boakye, D.A.; Verweij, J.J.; et al. Application of a circulating-cathodic-antigen (CCA) strip test and real-time PCR, in comparison with microscopy, for the detection of Schistosoma haematobium in urine samples from Ghana. Ann. Trop. Med. Parasitol. 2008, 102, 625–633. [Google Scholar] [CrossRef] [PubMed]
  7. Kremsner, P.G.; Enyong, P.; Krijger, F.W.; De Jonge, N.; Zotter, G.M.; Thalhammer, F.; Muhlschlegel, F.; Bienzle, U.; Feldmeier, H.; Deelder, A.M. Circulating anodic and cathodic antigen in serum and urine from Schistosoma haematobium-infected Cameroonian children receiving praziquantel: A longitudinal study. Clin. Infect. Dis. 1994, 18, 408–413. [Google Scholar] [CrossRef]
  8. Van Dam, G.J.; Bogitsh, B.J.; van Zeyl, R.J.; Rotmans, J.P.; Deelder, A.M. Schistosoma mansoni: In vitro and in vivo excretion of CAA and CCA by developing schistosomula and adult worms. J. Parasitol. 1996, 82, 557–564. [Google Scholar] [CrossRef] [Green Version]
  9. Van Lieshout, L.; Polderman, A.M.; Deelder, A.M. Immunodiagnosis of schistosomiasis by determination of the circulating antigens CAA and CCA, in particular in individuals with recent or light infections. Acta Trop. 2000, 77, 69–80. [Google Scholar] [CrossRef]
  10. Knopp, S.; Corstjens, P.L.; Koukounari, A.; Cercamondi, C.I.; Ame, S.M.; Ali, S.M.; de Dood, C.J.; Mohammed, K.A.; Utzinger, J.; Rollinson, D.; et al. Sensitivity and Specificity of a Urine Circulating Anodic Antigen Test for the Diagnosis of Schistosoma haematobium in Low Endemic Settings. PLoS Negl. Trop. Dis. 2015, 9, e0003752. [Google Scholar] [CrossRef]
  11. Van Etten, L.; Engels, D.; Krijger, F.W.; Nkulikyinka, L.; Gryseels, B.; Deelder, A.M. Fluctuation of schistosome circulating antigen levels in urine of individuals with Schistosoma mansoni infection in Burundi. Am. J. Trop. Med. Hyg. 1996, 54, 348–351. [Google Scholar] [CrossRef]
  12. Polman, K.; Engels, D.; Fathers, L.; Deelder, A.M.; Gryseels, B. Day-to-day fluctuation of schistosome circulating antigen levels in serum and urine of humans infected with Schistosoma mansoni in Burundi. Am. J. Trop. Med. Hyg. 1998, 59, 150–154. [Google Scholar] [CrossRef] [PubMed]
  13. Stothard, J.R.; Stanton, M.C.; Bustinduy, A.L.; Sousa-Figueiredo, J.C.; Van Dam, G.J.; Betson, M.; Waterhouse, D.; Ward, S.; Allan, F.; Hassan, A.A.; et al. Diagnostics for schistosomiasis in Africa and Arabia: A review of present options in control and future needs for elimination. Parasitology 2014, 141, 1947–1961. [Google Scholar] [CrossRef] [PubMed]
  14. Coulibaly, J.T.; Knopp, S.; N’Guessan, N.A.; Silue, K.D.; Furst, T.; Lohourignon, L.K.; Brou, J.K.; N’Gbesso, Y.K.; Vounatsou, P.; N’Goran, E.K.; et al. Accuracy of urine circulating cathodic antigen (CCA) test for Schistosoma mansoni diagnosis in different settings of Cote d’Ivoire. PLoS Negl. Trop. Dis. 2011, 5, e1384. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Coulibaly, J.T.; N’Gbesso, Y.K.; Knopp, S.; N’Guessan, N.A.; Silué, K.D.; van Dam, G.J.; N’Goran, E.K.; Utzinger, J. Accuracy of urine circulating cathodic antigen test for the diagnosis of Schistosoma mansoni in preschool-aged children before and after treatment. PLoS Negl. Trop. Dis. 2013, 7, e2109. [Google Scholar] [CrossRef] [PubMed]
  16. Shane, H.L.; Verani, J.R.; Abudho, B.; Montgomery, S.P.; Blackstock, A.J.; Mwinzi, P.N.; Butler, S.E.; Karanja, D.M.; Secor, W.E. Evaluation of urine CCA assays for detection of Schistosoma mansoni infection in Western Kenya. PLoS Negl. Trop. Dis. 2011, 5, e951. [Google Scholar] [CrossRef]
  17. Tchuem Tchuente, L.A.; Kuete Fouodo, C.J.; Kamwa Ngassam, R.I.; Sumo, L.; Dongmo Noumedem, C.; Kenfack, C.M.; Gipwe, N.F.; Nana, E.D.; Stothard, J.R.; Rollinson, D. Evaluation of circulating cathodic antigen (CCA) urine-tests for diagnosis of Schistosoma mansoni infection in Cameroon. PLoS Negl. Trop. Dis. 2012, 6, e1758. [Google Scholar] [CrossRef] [Green Version]
  18. Colley, D.G.; Binder, S.; Campbell, C.; King, C.H.; Tchuem Tchuenté, L.A.; N’Goran, E.K.; Erko, B.; Karanja, D.M.; Kabatereine, N.B.; van Lieshout, L.; et al. A five-country evaluation of a point-of-care circulating cathodic antigen urine assay for the prevalence of Schistosoma mansoni. Am. J. Trop. Med. Hyg. 2013, 88, 426–432. [Google Scholar] [CrossRef]
  19. Erko, B.; Medhin, G.; Teklehaymanot, T.; Degarege, A.; Legesse, M. Evaluation of urine-circulating cathodic antigen (Urine-CCA) cassette test for the detection of Schistosoma mansoni infection in areas of moderate prevalence in Ethiopia. Trop. Med. Int. Health 2013, 18, 1029–1035. [Google Scholar] [CrossRef]
  20. Adriko, M.; Standley, C.J.; Tinkitina, B.; Tukahebwa, E.M.; Fenwick, A.; Fleming, F.M.; Sousa-Figueiredo, J.C.; Stothard, J.R.; Kabatereine, N.B. Evaluation of circulating cathodic antigen (CCA) urine-cassette assay as a survey tool for Schistosoma mansoni in different transmission settings within Bugiri District, Uganda. Acta Trop. 2014, 136, 50–57. [Google Scholar] [CrossRef]
  21. Poole, H.; Terlouw, D.J.; Naunje, A.; Mzembe, K.; Stanton, M.; Betson, M.; Lalloo, D.G.; Stothard, J.R. Schistosomiasis in pre-school-age children and their mothers in Chikhwawa district, Malawi with notes on characterization of schistosomes and snails. Parasites Vectors 2014, 7, 153. [Google Scholar] [CrossRef]
  22. Midzi, N.; Butterworth, A.E.; Mduluza, T.; Munyati, S.; Deelder, A.M.; van Dam, G.J. Use of circulating cathodic antigen strips for the diagnosis of urinary schistosomiasis. Trans. R. Soc. Trop. Med. Hyg. 2009, 103, 45–51. [Google Scholar] [CrossRef] [PubMed]
  23. Bärenbold, O.; Garba, A.; Colley, D.G.; Fleming, F.M.; Haggag, A.A.; Ramzy, R.M.R.; Assare, R.K.; Tukahebwa, E.M.; Mbonigaba, J.B.; Bucumi, V.; et al. Translating preventive chemotherapy prevalence thresholds for Schistosoma mansoni from the Kato-Katz technique into the point-of-care circulating cathodic antigen diagnostic test. PLoS Negl. Trop. Dis. 2018, 12, e0006941. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. WHO. WHO Guideline on Control and Elimination of Human Schistosomiasis; WHO: Geneva, Switzerland, 2022. [Google Scholar]
  25. WHO. Schistosomiasis. Available online: https://www.who.int/en/news-room/fact-sheets/detail/schistosomiasis (accessed on 1 January 2022).
  26. WHO. Report of the First Meeting of the WHO Diagnostic Technical Advisory Group for Neglected Tropical Diseases; World Health Organization: Geneva, Switzerland, 2019. [Google Scholar]
  27. Corstjens, P.; de Dood, C.J.; Knopp, S.; Clements, M.N.; Ortu, G.; Umulisa, I.; Ruberanziza, E.; Wittmann, U.; Kariuki, T.; LoVerde, P.; et al. Circulating Anodic Antigen (CAA): A Highly Sensitive Diagnostic Biomarker to Detect Active Schistosoma Infections-Improvement and Use during SCORE. Am. J. Trop. Med. Hyg. 2020, 103 (Suppl. S1), 50–57. [Google Scholar] [CrossRef] [PubMed]
  28. van Dam, G.J.; Odermatt, P.; Acosta, L.; Bergquist, R.; de Dood, C.J.; Kornelis, D.; Muth, S.; Utzinger, J.; Corstjens, P.L. Evaluation of banked urine samples for the detection of circulating anodic and cathodic antigens in Schistosoma mekongi and S. japonicum infections: A proof-of-concept study. Acta Trop. 2015, 141 Pt B, 198–203. [Google Scholar] [CrossRef] [Green Version]
  29. van Dam, G.J.; Xu, J.; Bergquist, R.; de Dood, C.J.; Utzinger, J.; Qin, Z.Q.; Guan, W.; Feng, T.; Yu, X.L.; Zhou, J.; et al. An ultra-sensitive assay targeting the circulating anodic antigen for the diagnosis of Schistosoma japonicum in a low-endemic area, People’s Republic of China. Acta Trop. 2015, 141 Pt B, 190–197. [Google Scholar] [CrossRef]
  30. Vonghachack, Y.; Sayasone, S.; Khieu, V.; Bergquist, R.; van Dam, G.J.; Hoekstra, P.T.; Corstjens, P.; Nickel, B.; Marti, H.; Utzinger, J.; et al. Comparison of novel and standard diagnostic tools for the detection of Schistosoma mekongi infection in Lao People’s Democratic Republic and Cambodia. Infect. Dis. Poverty 2017, 6, 127. [Google Scholar] [CrossRef] [Green Version]
  31. Kanobana, K.; Praet, N.; Kabwe, C.; Dorny, P.; Lukanu, P.; Madinga, J.; Mitashi, P.; Verwijs, M.; Lutumba, P.; Polman, K. High prevalence of Taenia solium cysticerosis in a village community of Bas-Congo, Democratic Republic of Congo. Int. J. Parasitol. 2011, 41, 1015–1018. [Google Scholar] [CrossRef]
  32. Madinga, J.; Polman, K.; Kanobana, K.; van Lieshout, L.; Brienen, E.; Praet, N.; Kabwe, C.; Gabriel, S.; Dorny, P.; Lutumba, P.; et al. Epidemiology of polyparasitism with Taenia solium, schistosomes and soil-transmitted helminths in the co-endemic village of Malanga, Democratic Republic of Congo. Acta Trop. 2017, 171, 186–193. [Google Scholar] [CrossRef]
  33. Cools, P.; van Lieshout, L.; Koelewijn, R.; Addiss, D.; Ajjampur, S.S.R.; Ayana, M.; Bradbury, R.S.; Cantera, J.L.; Dana, D.; Fischer, K.; et al. First international external quality assessment scheme of nucleic acid amplification tests for the detection of Schistosoma and soil-transmitted helminths, including Strongyloides: A pilot study. PLoS Negl. Trop. Dis. 2020, 14, e0008231. [Google Scholar] [CrossRef]
  34. Pillay, P.; Taylor, M.; Zulu, S.G.; Gundersen, S.G.; Verweij, J.J.; Hoekstra, P.; Brienen, E.A.; Kleppa, E.; Kjetland, E.F.; van Lieshout, L. Real-time polymerase chain reaction for detection of Schistosoma DNA in small-volume urine samples reflects focal distribution of urogenital Schistosomiasis in primary school girls in KwaZulu Natal, South Africa. Am. J. Trop. Med. Hyg. 2014, 90, 546–552. [Google Scholar] [CrossRef]
  35. Vinkeles Melchers, N.V.; van Dam, G.J.; Shaproski, D.; Kahama, A.I.; Brienen, E.A.; Vennervald, B.J.; van Lieshout, L. Diagnostic performance of Schistosoma real-time PCR in urine samples from Kenyan children infected with Schistosoma haematobium: Day-to-day variation and follow-up after praziquantel treatment. PLoS Negl. Trop. Dis. 2014, 8, e2807. [Google Scholar] [CrossRef] [Green Version]
  36. Casacuberta-Partal, M.; Beenakker, M.; de Dood, C.; Hoekstra, P.; Kroon, L.; Kornelis, D.; Corstjens, P.; Hokke, C.H.; van Dam, G.; Roestenberg, M.; et al. Specificity of the Point-of-Care Urine Strip Test for Schistosoma Circulating Cathodic Antigen (POC-CCA) Tested in Non-Endemic Pregnant Women and Young Children. Am. J. Trop. Med. Hyg. 2021, 104, 1412–1417. [Google Scholar] [CrossRef]
  37. Corstjens, P.L.; De Dood, C.J.; Kornelis, D.; Fat, E.M.; Wilson, R.A.; Kariuki, T.M.; Nyakundi, R.K.; Loverde, P.T.; Abrams, W.R.; Tanke, H.J.; et al. Tools for diagnosis, monitoring and screening of Schistosoma infections utilizing lateral-flow based assays and upconverting phosphor labels. Parasitology 2014, 141, 1841–1855. [Google Scholar] [CrossRef] [Green Version]
  38. Corstjens, P.L.; Nyakundi, R.K.; de Dood, C.J.; Kariuki, T.M.; Ochola, E.A.; Karanja, D.M.; Mwinzi, P.N.; van Dam, G.J. Improved sensitivity of the urine CAA lateral-flow assay for diagnosing active Schistosoma infections by using larger sample volumes. Parasites Vectors 2015, 8, 241. [Google Scholar] [CrossRef] [Green Version]
  39. Assaré, R.K.; Tra-Bi, M.I.; Coulibaly, J.T.; Corstjens, P.; Ouattara, M.; Hürlimann, E.; van Dam, G.J.; Utzinger, J.; N’Goran, E.K. Accuracy of Two Circulating Antigen Tests for the Diagnosis and Surveillance of Schistosoma mansoni Infection in Low-Endemicity Settings of Côte d’Ivoire. Am. J. Trop. Med. Hyg. 2021, 105, 677–683. [Google Scholar] [CrossRef]
  40. Hoekstra, P.T.; Chernet, A.; de Dood, C.J.; Brienen, E.A.T.; Corstjens, P.; Labhardt, N.D.; Nickel, B.; Wammes, L.; van Dam, G.J.; Neumayr, A.; et al. Sensitive diagnosis and post-treatment follow-up of Schistosoma mansoni infections in asymptomatic Eritrean refugees by circulating anodic antigen detection and polymerase chain reaction. Am. J. Trop. Med. Hyg. 2022, 106, 1240–1246. [Google Scholar] [CrossRef]
  41. Hoekstra, P.T.; Casacuberta-Partal, M.; van Lieshout, L.; Corstjens, P.; Tsonaka, R.; Assaré, R.K.; Silué, K.D.; N’Goran, E.K.; N’Gbesso, Y.K.; Brienen, E.A.T.; et al. Limited efficacy of repeated praziquantel treatment in Schistosoma mansoni infections as revealed by highly accurate diagnostics, PCR and UCP-LF CAA (RePST trial). PLoS Negl. Trop. Dis. 2022. under review. [Google Scholar]
  42. Meurs, L.; Mbow, M.; Vereecken, K.; Menten, J.; Mboup, S.; Polman, K. Epidemiology of mixed Schistosoma mansoni and Schistosoma haematobium infections in northern Senegal. Int. J. Parasitol. 2012, 42, 305–311. [Google Scholar] [CrossRef]
  43. Cunin, P.; Tchuem Tchuenté, L.A.; Poste, B.; Djibrilla, K.; Martin, P.M. Interactions between Schistosoma haematobium and Schistosoma mansoni in humans in north Cameroon. Trop. Med. Int. Health 2003, 8, 1110–1117. [Google Scholar] [CrossRef]
  44. Meulah, B.; Oyibo, P.; Bengtson, M.; Agbana, T.; Lontchi, R.A.L.; Adegnika, A.A.; Oyibo, W.; Hokke, C.H.; Diehl, J.C.; van Lieshout, L. Performance evaluation of the Schistoscope 5.0 for (semi-) automated digital detection and quantification of Schistosoma haematobium eggs in urine: A field-based study in Nigeria. Am. J. Trop. Med. Hyg. 2022. accepted. [Google Scholar] [CrossRef]
  45. Polman, K.; Stelma, F.F.; Gryseels, B.; Van Dam, G.J.; Talla, I.; Niang, M.; Van Lieshout, L.; Deelder, A.M. Epidemiologic application of circulating antigen detection in a recent Schistosoma mansoni focus in northern Senegal. Am. J. Trop. Med. Hyg. 1995, 53, 152–157. [Google Scholar] [CrossRef]
  46. Polman, K.; Stelma, F.F.; Le Cessie, S.; De Vlas, S.J.; Falcao Ferreira, S.T.; Talla, I.; Deelder, A.M.; Gryseels, B. Evaluation of the patterns of Schistosoma mansoni infection and re-infection in Senegal, from faecal egg counts and serum concentrations of circulating anodic antigen. Ann. Trop. Med. Parasitol. 2002, 96, 679–689. [Google Scholar] [CrossRef]
  47. Faust, C.L.; Osakunor, D.N.M.; Downs, J.A.; Kayuni, S.; Stothard, J.R.; Lamberton, P.H.L.; Reinhard-Rupp, J.; Rollinson, D. Schistosomiasis Control: Leave No Age Group Behind. Trends Parasitol. 2020, 36, 582–591. [Google Scholar] [CrossRef]
  48. Utzinger, J.; Becker, S.L.; van Lieshout, L.; van Dam, G.J.; Knopp, S. New diagnostic tools in schistosomiasis. Clin. Microbiol. Infect. 2015, 21, 529–542. [Google Scholar] [CrossRef] [Green Version]
  49. Hoekstra, P.T.; van Dam, G.J.; van Lieshout, L. Context-specific procedures for the diagnosis of human schistosomiasis—A mini review. Front. Trop. Dis. 2021, 2, 722438. [Google Scholar] [CrossRef]
  50. Worrell, C.M.; Bartoces, M.; Karanja, D.M.; Ochola, E.A.; Matete, D.O.; Mwinzi, P.N.; Montgomery, S.P.; Secor, W.E. Cost analysis of tests for the detection of Schistosoma mansoni infection in children in western Kenya. Am. J. Trop. Med. Hyg. 2015, 92, 1233–1239. [Google Scholar] [CrossRef]
Figure 1. Percentage positive by polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting lateral flow circulating anodic antigen (UCP-LF CAA) test in 314 individuals. The shaded area represents POC-CCA trace results.
Figure 1. Percentage positive by polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting lateral flow circulating anodic antigen (UCP-LF CAA) test in 314 individuals. The shaded area represents POC-CCA trace results.
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Figure 2. The intensity of infection per age group. Data based on (a) PCR in urine; (b) PCR in stool; (c) Point-of-care circulating cathodic antigen (POC-CCA); and (d) up-converting particle lateral flow circulating anodic antigen (UCP-LF CAA).
Figure 2. The intensity of infection per age group. Data based on (a) PCR in urine; (b) PCR in stool; (c) Point-of-care circulating cathodic antigen (POC-CCA); and (d) up-converting particle lateral flow circulating anodic antigen (UCP-LF CAA).
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Figure 3. Proportional Venn diagram of polymerase chain reaction (PCR) in urine and stool compared to the point-of-care circulating cathodic antigen (POC-CCA) and the up-converting particle lateral flow circulating anodic antigen (UCP-LF CAA) urine test in 314 individuals.
Figure 3. Proportional Venn diagram of polymerase chain reaction (PCR) in urine and stool compared to the point-of-care circulating cathodic antigen (POC-CCA) and the up-converting particle lateral flow circulating anodic antigen (UCP-LF CAA) urine test in 314 individuals.
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Figure 4. Correlation between polymerase chain reaction (PCR) in stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test: (a) PCR versus POC-CCA, (b) UCP-LF CAA versus POC-CCA, and (c) UCP-LF CAA versus PCR. Horizontal lines indicate the median Ct-value (a) or the median CAA concentration (b,c) of the positive tested samples.
Figure 4. Correlation between polymerase chain reaction (PCR) in stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test: (a) PCR versus POC-CCA, (b) UCP-LF CAA versus POC-CCA, and (c) UCP-LF CAA versus PCR. Horizontal lines indicate the median Ct-value (a) or the median CAA concentration (b,c) of the positive tested samples.
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Table 1. The intensity of infection based on polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test in 314 individuals.
Table 1. The intensity of infection based on polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test in 314 individuals.
Diagnostic MethodN (%)
PCR (urine)
     35 ≤ Ct < 50 (low)2 (0.6%)
     30 ≤ Ct < 35 (medium)4 (1.3%)
     25 ≤ Ct < 30 (high)3 (1.0%)
     Ct < 25 (very high)1 (0.3%)
PCR (stool)
     35 ≤ Ct < 50 (low)15 (4.8%)
     30 ≤ Ct < 35 (medium)4 (1.3%)
     25 ≤ Ct < 30 (high)18 (5.7%)
     Ct < 25 (very high)50 (15.9%)
POC-CCA
     Trace44 (14.0%)
     1+ (low)48 (15.3%)
     2+ (moderate)28 (8.9%)
     3+ (high)10 (3.2%)
UCP-LF CAA (urine)
     0.1–1 pg/mL (very low)64 (20.4%)
     1–10 pg/mL (low)66 (21.0%)
     10–100 pg/mL (moderate)58 (18.5%)
     >100 pg/mL (high)27 (8.6%)
Table 2. The level of agreement between polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test by Cohen’s κ coefficient and McNemar’s χ2 test in 314 individuals.
Table 2. The level of agreement between polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle, lateral flow circulating anodic antigen (UCP-LF CAA) urine test by Cohen’s κ coefficient and McNemar’s χ2 test in 314 individuals.
Diagnostic TestReference Test K ValueInterpretation 1p ValueMcNemar’s p Value
PCR (urine)
PCR (stool)PositiveNegative
Positive8790.114Slight<0.001<0.001
Negative2225
POC-CCA
PCR (stool)PositiveNegative
Positive60270.577Moderate <0.0011
Negative26201
UCP-LF CAA
PCR (stool)PositiveNegative
Positive8070.223Fair <0.001<0.001
Negative13592
UCP-LF CAA
POC-CCAPositiveNegative
Positive7970.220Fair <0.001<0.001
Negative13692
PCR (urine)
POC-CCAPositiveNegative
Positive8780.116Slight<0.001<0.001
Negative2226
PCR (urine)
UCP-LF CAAPositiveNegative
Positive102050.030Slight0.029<0.001
Negative099
1 Interpretation of k coefficient: 0, chance; 0.01 to 0.20, slight; 0.21 to 0.40, fair; 0.41 to 0.60, moderate; 0.61 to 0.80, substantial; 0.81 to 0.99, almost perfect.
Table 3. Sensitivity and specificity of polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle circulating anodic antigen (UCP-LF CAA) urine test compared to a composite reference standard (CRS).
Table 3. Sensitivity and specificity of polymerase chain reaction (PCR) in urine and stool, point-of-care circulating cathodic antigen (POC-CCA), and the up-converting particle circulating anodic antigen (UCP-LF CAA) urine test compared to a composite reference standard (CRS).
CRS
(PCR & UCP-LF CAA) 1
Diagnostic Accuracy
PositiveNegativeSensitivitySpecificity
PCR (urine)Positive1004.5%100% 2
Negative21292
PCR (stool)Positive87039.2%100% 2
Negative13592
POC-CCAPositive80636.0%93.5%
Negative14286
UCP-LF CAAPositive215096.8%100% 2
Negative792
1 Composite reference standard (CRS) was based on PCR (urine/stool) and UCP-LF CAA: an individual was considered positive if at least one of these tests was positive. 2 Specificity is 100% by definition.
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Hoekstra, P.T.; Madinga, J.; Lutumba, P.; van Grootveld, R.; Brienen, E.A.T.; Corstjens, P.L.A.M.; van Dam, G.J.; Polman, K.; van Lieshout, L. Diagnosis of Schistosomiasis without a Microscope: Evaluating Circulating Antigen (CCA, CAA) and DNA Detection Methods on Banked Samples of a Community-Based Survey from DR Congo. Trop. Med. Infect. Dis. 2022, 7, 315. https://doi.org/10.3390/tropicalmed7100315

AMA Style

Hoekstra PT, Madinga J, Lutumba P, van Grootveld R, Brienen EAT, Corstjens PLAM, van Dam GJ, Polman K, van Lieshout L. Diagnosis of Schistosomiasis without a Microscope: Evaluating Circulating Antigen (CCA, CAA) and DNA Detection Methods on Banked Samples of a Community-Based Survey from DR Congo. Tropical Medicine and Infectious Disease. 2022; 7(10):315. https://doi.org/10.3390/tropicalmed7100315

Chicago/Turabian Style

Hoekstra, Pytsje T., Joule Madinga, Pascal Lutumba, Rebecca van Grootveld, Eric A. T. Brienen, Paul L. A. M. Corstjens, Govert J. van Dam, Katja Polman, and Lisette van Lieshout. 2022. "Diagnosis of Schistosomiasis without a Microscope: Evaluating Circulating Antigen (CCA, CAA) and DNA Detection Methods on Banked Samples of a Community-Based Survey from DR Congo" Tropical Medicine and Infectious Disease 7, no. 10: 315. https://doi.org/10.3390/tropicalmed7100315

APA Style

Hoekstra, P. T., Madinga, J., Lutumba, P., van Grootveld, R., Brienen, E. A. T., Corstjens, P. L. A. M., van Dam, G. J., Polman, K., & van Lieshout, L. (2022). Diagnosis of Schistosomiasis without a Microscope: Evaluating Circulating Antigen (CCA, CAA) and DNA Detection Methods on Banked Samples of a Community-Based Survey from DR Congo. Tropical Medicine and Infectious Disease, 7(10), 315. https://doi.org/10.3390/tropicalmed7100315

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