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. 2020 Aug 17;2020:1803515. doi: 10.1155/2020/1803515

Development of a New Lateral Flow Assay Based on IBMP-8.1 and IBMP-8.4 Chimeric Antigens to Diagnose Chagas Disease

Edimilson D Silva 1, Ângelo A O Silva 2, Emily F Santos 2, Leonardo M Leony 2, Natália E M Freitas 2, Ramona T Daltro 2, Antônio G P Ferreira 1, Rafaela L Diniz 1, Aline R Bernardo 1, Alejandro O Luquetti 3, Marco A Krieger 4,5, Paola A F Celedon 5, Pedro A Viñas 6, Nilson I T Zanchin 4, Fred L N Santos 2,✉
PMCID: PMC7450325  PMID: 32908871

Abstract

Despite several available methodologies for Chagas disease (CD) serological screening, the main limitation of chronic CD diagnosis is the lack of effective tools for large-scale screening and point-of-care diagnosis to be used in different CD epidemiological scenarios. Taking into account that developing such a diagnostic tool will significantly improve the ability to identify CD carriers, we aimed at performing a proof-of-concept study (phase I study) to assess the use of these proteins in a point-of-care platform using serum samples from different geographical settings of Brazil and distinct clinical presentations. The diagnostic accuracy study was conducted on a panel of two WHO International Standards (IS) and 14 sera from T. cruzi-positive and 16 from T. cruzi-negative individuals. The results obtained with the test strips were converted to digital images, allowing quantitative comparison expressed as a relative band intensity ratio (RBI). The diagnostic potential and performance were also determined. Regardless of the geographical origin or clinical presentation, all sera with T. cruzi antibodies returned positive both for IBMP-8.1 and IBMP-8.4 chimeric antigens. The area under the ROC curve (AUC) values was 100% for both antigens, demonstrating an outstanding overall diagnostic accuracy (100%). Based on the data, we believe that the lateral flow assays based on these antigens are promising methodologies for screening CD.

1. Introduction

American trypanosomiasis or Chagas' disease (CD) is an infectious condition caused by the hemoflagellated protozoan Trypanosoma cruzi, which is responsible for the highest parasitic disease burden in 21 Latin American countries [1]. According to estimates, CD causes 7,500 deaths annually in the 5.7 million people infected worldwide. To date, 70 million people are at risk of acquiring the infection [1]. There is a high-burden of undiagnosed and untreated individuals, making CD the most important neglected tropical disease (NTD) in the Americas, mainly among poor and marginalized populations [2]. Migration flows and population shifts have favored the dispersion of T. cruzi-infected people from Latin America to nonendemic countries from Europe, North America, and Oceania [3].

T. cruzi is usually transmitted through contact with feces/urine of infected blood-sucking triatomine bugs, which harbors the parasite in their gut. Additionally, other routes of infection such as blood transfusion, ingestion of contaminated food or beverages, organ donation, and mother-to-child represent an increasingly significant alternative infection pathway. Initial infection is followed by an acute phase, characterized by a high-grade parasitemia. This phase is usually asymptomatic or might present as an unspecific and nonpathognomonic self-limiting febrile illness [4]. Following the acute phase, lasting up 60-90 days, CD enters a lifelong, asymptomatic, indeterminate phase. Nevertheless, after years or decades, 20-30% of T. cruzi-infected individuals progress to an advanced life-threatening, debilitating chronic stage with severe cardiac, digestive (typical enlargement of the esophagus or colon), neurological complications or mixed-alterations [5, 6].

During the chronic phase, due to the increasing anti-T. cruzi IgG antibodies titers and scarcity or lack of circulating parasites (which are mainly hidden in the heart and digestive muscle), the laboratory diagnosis relies on the utilization of indirect immunoassays, such as enzyme-linked immunosorbent assay (ELISA), indirect immunofluorescence (IIF), indirect hemagglutination (IHA), and point-of-care tests (POC), such as rapid diagnostic tests (RDTs) or lateral flow assays (LFA), particle agglutination, immunodot, and immunofiltration [7]. Despite several available methodologies, operational and technical issues render an equally irregular serological assays performance, which is attributed to the high T. cruzi genetic and phenotypic intraspecific diversity [8], choice of antigens employed to sensitize the solid phase of immunoassays [9], variation in disease prevalence [10, 11], and variable immune responses in T. cruzi-infected individuals [12]. Accordingly, the World Health Organization (WHO) advises the parallel use of two different serological tests to CD diagnosis.

Currently, the main limitation of chronic CD diagnosis is the lack of effective tools for large-scale screening and point-of-care diagnosis to be used in different CD epidemiological scenarios. In addition, standard protocols are arduous to implement outside of large urban centers and present several constraints, such as the highly trained personnel requirement, the need for specific equipment, refrigerated storage, and the need for the patient to return to health centers several times. This highlights the fact that developing new diagnostic tools adapted to the needs of affected populations and to the reality of health systems based on primary health care and that are easy-to-use will significantly improve the ability to identify CD carriers [13]. A strategy to overcome these limitations, including the irregular performance of serological assays in different settings, is based on the use of recombinant chimeric antigens. These molecules are composed of repetitive and conserved fragments of amino acid sequences of epitopes from several antigenic proteins of the parasite [14, 15].

Considering the predicaments herein set forth, our group recently expressed and purified four T. cruzi-chimeric proteins (IBMP-8.1, -8.2, -8.3, and -8.4) and assessed their diagnostic performance in the serologic diagnostic of CD under ELISA or liquid microarray format assays [15–18] in different endemic settings in several Latin American countries [19] and in their immigrants living in Barcelona/Spain [20]. Additionally, these chimeric proteins have shown a negligible cross-reactivity with both American cutaneous and visceral leishmaniasis, demonstrating their utility in regions where T. cruzi and Leishmania spp. are coendemic [21]. In all previous studies, we observed that the IBMP-8.1 and IBMP-8.4 antigens yielded the highest performance values among the evaluated antigens. In the present study, we endeavored to perform a proof-of-concept study (phase I study) to assess the use of these proteins in a point-of-care platform using serum samples from different geographical settings of Brazil and distinct clinical presentations.

2. Materials and Methods

2.1. Ethics

Approval for this research was granted by the Institutional Review Board (IRB) for Human Research at the Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia (BA), Brazil (protocol no. 67809417.0.0000.0040).

2.2. IBMP Chimeric Antigen Obtainment

Construction of expression vectors and establishment of purification conditions for the T. cruzi chimeric antigens, denominated IBMP-8.1 and IBMP-8.4, were described in previous work by Santos et al. [15]. Expression was carried out in Escherichia coli strain BL21-Star (DE3), and the proteins were purified by affinity and ion-exchange chromatography using columns and chromatographers supplied by GE Healthcare. Protein concentration was determined using a fluorometric assay (Qubit, Invitrogen).

2.3. Lateral Flow Assay (LFA) Design, Assembly, and Testing

IBMP-8.1 and IBMP-8.4 T. cruzi chimeric proteins were impregnated in parallel with the reaction control on the nitrocellulose membranes used in the lateral flow immunochromatography platform. The test consists of a multimembrane strip sequentially arranged under an adhesive card: sample pad, conjugate pad, antigen and control-impregnated nitrocellulose membrane, and residual membrane or wick (Figure 1(a)). The strip is placed inside a plastic cassette where the reaction takes place. This device has an opening for sample dispensing/running buffer and reaction display window. Five microliters of the sample are dispensed on the opening (Figure 1(a)), followed by the addition of three drops of running buffer to allow the sample liquid to flow through the length of the nitrocellulose membrane. The mixture migrates by capillarity, eluting the conjugate to the test area where the antigens impregnated on the nitrocellulose membrane are found. The overflow of components migrates to the opposite end of the tape where they are retained (wick). Results were obtained visually after 15 minutes of incubation at room temperature (avg. 22°C) or by acquiring a digital photographic image. Positive results are characterized by the presence of color intensity bands in the test (Test line IBMP-8.1 and/or IBMP-8.4) and control (Control line) lines, while negatives show only the control line. If the control line does not appear, the test is considered invalid (Figure 1(b)). In order to avoid variations in the components of assays, the LFA devices were assembled at once (single batch).

Figure 1.

Figure 1

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Lateral flow assay (LFA) device. (a) Schematic illustration of the composition of the LFA strip for the detection of IgG anti-Trypanosoma cruzi in a clinical sample employing the IBMP-8.4 and IBMP-8.1 chimeric antigens; and photographic image of an LFA opened device after loading T. cruzi specific IgG antibodies. (b) Schemes of the results expected for valid and invalid results yielded by LFA.

2.4. Sampling

Anonymized human serum samples were obtained from the biorepository of the Advanced Public Health Laboratory (LASP/IGM). The sample size was determined for an infinite population (n = 1,000,000) with a 95% confidence interval, expected sensitivity and specificity of 99%, and absolute error of 5%. Based on these parameters, obtained with OpenEpi, a free web-based, and open-source program [22], the minimum sample to perform this study was 16 sera from T. cruzi-positive and 16 sera from T. cruzi-negative individuals. Therefore, 32 serum samples were used in this work. They were obtained from T. cruzi-negative (n = 16) and T. cruzi-positive (n = 16) people from Brazilian endemic and nonendemic settings, including Alagoas (AL), Bahia (BA), Goiás (GO), Minas Gerais (MG), Paraiba (PB), Paraná (PR), and Pernambuco (PE) (Figure 2). Additionally, two WHO International Standards (IS) were included in this study: IS 09/186 and IS 09/188, which are representative for seropositive samples from autochthonous individuals living in Brazil, a T. cruzi discrete typing unit (DTU) TcII endemic area, and Mexico, a region where T. cruzi DTU TcI is endemic. All sera were previously retested for T. cruzi-antibodies employing two serological assays: ELISA Chagas III (BIOSChile, Santiago, Chile), which uses whole extracts of Mn and Tulahuen T. cruzi strains as antigens, and Gold ELISA Chagas (Rem Diagnóstica, São Paulo, Brazil), which uses both recombinant antigens and purified lysates from Brazilian strains of T. cruzi epimastigotes. Additionally, the samples were also retested using an indirect immunofluorescence assay (IFI Chagas, Bio-Manguinhos, Rio de Janeiro, Brazil). All commercial tests were performed under strict adherence to the manufacturer's specifications. Only samples with concordant results were included in the present study. Each sample was given a unique identifier code to ensure a blinded analysis.

Figure 2.

Figure 2

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Flowchart illustrating the study design in conformity with the Standards for Reporting of Diagnostic Accuracy Studies (STARD) guidelines. Public domain digital map was freely obtained from the Brazilian Institute of Geography and Statistics (IBGE) cartographic database in shapefile format (.shp), which was subsequently reformatted and analyzed using QGIS version 3.10 (Geographic Information System, Open Source Geospatial Foundation Project. http://qgis.osgeo.org).

2.5. Image Analysis

Assays' results interpretation was performed both by visual analysis and captured images of the strip assays at a determinate time of incubation (15 min) by an In Vivo Imaging System (iBox®500 Imaging System, UVP, Upland-CA, USA). Monochrome image data was saved in .tiff format, and inverted-color images were obtained using ImageJ [23]. The region of interest was selected on the images where both control and test lines were selected using rectangular selections on the ImageJ menu bar. The same area was applied to all acquired images. Next, areas under the test and control lines peaks were obtained by a virtual chromatogram and quantitatively processed in ImageJ software. In order to normalize the values among readings, the results were expressed as an index that represents the ratio between the test areas and the control area and then divided by the same ratio of the negative control (buffer alone, 0.20 for PBS). This index is referred to as relative band intensity (RBI), corresponding to a ratio towards the negative control value. For quantitative analysis, we have attributed categories to RBI both for IBMP-8.4 and IBMP-8.1 chimeric antigens: P1 (41.0 ≥ RBI ≤ 60.0), P2 (60.0 > RBI ≤ 80.0), and P3 (80.0 > RBI ≤ 100).

2.6. Statistical Analysis

Relative band intensities (RBI) were analyzed using scatter computer graphic software (GraphPad Prism version 8, San Diego-CA, USA). Descriptive statistics are presented as geometric means ± standard deviation (SD). The Shapiro-Wilk test was used to test data normality. When the assumed homogeneity was confirmed, Student's t-test was used. If not, Mann-Whitney's signed-rank test was used. All analyses were 2-tailed, and a p value under 5% (p < 0.05) was considered significant. Cut-off values were set by determining the greatest area under the receiver operating characteristic (ROC) curve, which was employed to establish a maximum RBI to distinguish T. cruzi-positive and negative samples. Areas under the ROC curve (AUC) were considered to evaluate the global accuracy for each IBMP T. cruzi-antigen, which can be classified as low (0.51–0.61), moderate (0.62–0.81), elevated (0.82–0.99), or outstanding (1.0) [24]. LFA performance was assessed using a dichotomous approach and by comparing sensitivity (Se), specificity (Sp), and accuracy (Ac). Confidence intervals at 95% (95% CI) were calculated to address the precision of the proportion estimates of these parameters. Cohen's kappa (κ) analysis was employed to determine the agreement strength between the reference standard tests and IBMP-LFA, which was interpreted as a poor agreement (k = 0), slight agreement (0.20 ≤ k > 0), fair agreement (0.40 ≤ k ≥ 0.21), moderate agreement (0.60 ≤ k ≥ 0.41), substantial agreement (0.80 ≤ k ≥ 0.61), and almost perfect agreement (1.0 ≤ k ≥ 0.81) [25]. A checklist (S1 Table) and a flowchart (Figure 2) are provided according to the Standards for the Reporting of Diagnostic accuracy studies (STARD) guidelines.

3. Results

In order to evaluate the diagnostic performance of the LFA-IBMP, tests were performed using previously characterized T. cruzi-positive and negative samples from several CD settings from Brazil. Additionally, the two WHO International Standards (IS) were included in the T. cruzi-positive panel (IS 09/186 and IS 09/188). Overall, 32 clinical samples (16 positive and 16 negative samples) were employed in this study. Regardless of the geographical origin or clinical presentation, all sera with T. cruzi antibodies returned positive both for IBMP-8.1 and IBMP-8.4 chimeric antigens. Visual analysis of strips showed the presence of bands for all positive samples (Figure 3). Except for samples 5 and 16, which displayed light to nearly fainted colors as a positive indication of detection, all samples presented clear bands for IBMP-8.1, IBMP-8.4, or both. Some samples exhibited whitish stains over the antigen reaction area (samples 1 and 2), which could be related to the production of the devices in a research laboratory without good manufacturing practices. Concerning T. cruzi-negative samples no band was observed both for IBMP-8.1 and IBMP-8.4 chimeric antigens. As demonstrated in Figure 3, RBI values found for IBMP-8.1 and IBMP-8.4 antigens varied from 43.7 to 99.9 (geometric mean 59.7; 95% Confidence interval (CI) 51.3-69.7) and from 42.9 to 94.7 (geometric mean 55.7; 95% CI 49.2-63.2), respectively. With respect to negative samples, no false-positive result was observed. All negative samples presented an RBI signal below 40 for both IBMP-8.1 and IBMP-8.4 chimeric antigens. The geometric means of RBI were similar for the two antigens (IBMP-8.1: 34.08, 95% CI 32.36-35.9; IBMP-8.4: 34.04, 95% CI 32.57-35.58). No significant difference has been found with respect to the RBI values considering both T. cruzi-positive and negative samples.

Figure 3.

Figure 3

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Photographic images of the lateral flow assays (LFA) strips after loading T. cruzi-positive (upper panel) or negative (lower panel) samples. BA (Bahia); CA (cardiac form); CD (cardio-digestive form); GO (Goiás); IN (indeterminate form); MG (Minas Gerais); MX (Mexico); N (T. cruzi-negative result); P1 (T. cruzi-positive result characterized by 41.0 ≥ RBI ≤ 60.0); P2 (T. cruzi-positive result characterized by 60.0 > RBI ≤ 80.0); P3 (T. cruzi-positive result characterized by 80.0 > RBI ≤ 100); PE (Pernambuco); SP (São Paulo); RBI (relative band intensity).

LFA performance parameters found for the IBMP-8.1 and IBMP-8.4 chimeric antigens are illustrated in Figure 4. AUC values reached 100% for both antigens, demonstrating outstanding overall diagnostic accuracy. Cut-off values were established by the ROC curve at 41.1 for IBMP-8.4 and 40.8 for IBMP-8.1. IBMP-8.1 and IBMP-8.4 chimeras yielded maximum values for sensitivity and specificity parameters. Similarly, the accuracy of LFA achieved 100% accuracy for both antigens, diagnosing all individuals correctly. No erroneous results (false-negative or false-positive) were found and no statistically significant differences in sensitivity or specificity scores were found between the chimeric antigens. The qualitative assessment of results showed perfect agreement using the Cohen's Kappa method.

Figure 4.

Figure 4

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Assay performance parameters were obtained with serum from noninfected and T. cruzi-infected individuals. The cut-off value is represented by the dotted lines. Horizontal lines and numbers for each group of results represent the geometric means (±95% CI). Acc (accuracy); AUC (area under curve); ROC curve (receiver operating characteristic curve); Sen (sensitivity); Spe (specificity).

4. Discussion

This is the first study using IBMP-8.1 and IBMP-8.4 antigens to detect anti-T. cruzi antibodies in a point-of-care device. According to AUC values, these antigens achieved outstanding values of global accuracy (1.0), indicating that they can efficiently distinguish positive from negative samples. In addition, we found a high sensitivity (100%), specificity (100%), and accuracy (100%) values, as well as a perfect agreement between the reference standard tests and IBMP-LFA.

Similar results have already been found for other RDTs employing multiepitope fusion peptides, such as Trypanosoma Detect, Simple Chagas WB, and Chagas Detect Plus, as well as recombinant or native antigen matrices, namely, Chagas Stat-Pak, WL Check Chagas, Chagas Quick Test, ICT-Operon, and PATH-Lemos Rapid Test [26–37]. In fact, other studies employing samples from immigrants living in nonendemic settings or from individuals from endemic Latin American countries reported sensitivity between 88% and 100%, while specificity ranged from 94% to 100% [26–37]. In regard to blood donors and T. cruzi-positive individuals from Central America, RDT upheld a sensitivity of 99.6% and a specificity reaching 100% [34]. On the other hand, rapid test assessment in Louisiana and Spain revealed high sensitivity (100%) and specificity (between 91.6% and 100%) [35, 37], while a study conducted in Brazil, analyzing samples from different states, namely, Goiás, Minas Gerais, and Bahia, found a sensitivity of 98.5% and specificity of 94.8% [35].

The variation of tests' performances could be a reflection of the high genetic and phenotypic intraspecific diversity of this parasite. Indeed, a peculiar characteristic of this parasite is its high intraspecific genetic and phenotypic plasticity. As a matter of fact, the parasite can exhibit a 48% change in genomic size amongst different strains, a noteworthy characteristic for organisms of the same species [26]. At the current moment, over 6,000 different strains (classified in Discrete Typing Units or DTU's) have been characterized and are geographically heterogeneously dispersed worldwide [38]. Furthermore, this genetic variation has a direct relationship with the parasite antigenic diversity, which is one of the culprit factors for the low concordance between different commercial diagnostic tests employed at different settings. To circumvent the issues associated with elevated antigenic plasticity, chimeric antigens, composed of several conserved, immunodominant, and repetitive epitopes, can be a panacea to address the low agreement between test performance values when employed at different locations with distinct circulating parasite strains [14].

Taking in consideration the lack of agreeability between tests' performance in different areas, our group previously assessed the performance of four T. cruzi chimeric antigens in various platforms, such as ELISA and liquid microarray (LUMINEX) [15, 16–18]. To expand our studies, we tested in 32 clinical samples from people of distinct geographical regions in this investigation. In our panel, 20 samples originated from the Brazilian Northeastern states (Alagoas, Pernambuco, Paraíba, and Bahia), where the DTUs TcI and TcII have been identified and associated with the domestic cycle of the disease, while the DTUs TcIII and TcIV, despite being locally present, are associated with sylvatic hosts. Furthermore, we included 12 samples from Brazil's Central-West (Goiás), Southeast (Minas Gerais), and South (Paraná) regions, where the DTUs TcI, TcII, and TcVI are present and associated with the domestic cycle of the disease. Additionally, we also utilized two WHO International Standards samples: one from Mexico, where the DTU TcI is predominant and one from Brazil, where the TcII is predominant. Considering the varying intensity of antigen presentation according to the form and severity of the disease, we decided to utilize samples of patients with the three main chronic presentations of Chagas disease: the Indeterminate (8), cardiac (4), and cardiodigestive (2) forms.

A previous multicenter study evaluated 11 commercially available RDTs for Chagas disease, of which 8 were recommended for in vitro diagnostics [7]. However, some technical issues were identified in some of those, such as complex execution procedure (Simple Chagas WB), inconclusive results, and ambiguous manufacturer instructions (Chagas-Instantest and Immu-Sure Chagas), in which could explain the performance variation. In addition, sensitivity and specificity results were different from those reported by the manufacturers. Despite the excellent performance of the ImmunoComb II Chagas Ab kit and Serodia-Chagas, they resemble the ELISA and agglutination tests, respectively [7]. These studies reinforce what has already been discussed by the scientific community in the context of CD diagnosis, such as the urgent need of a simple diagnostic tool with high sensitivity, specificity, speed, and ease of handling. Additionally, the assay should be robust enough to be executed in remote areas without laboratorial infrastructure and have an elevated diagnostic performance for samples from both endemic and nonendemic areas, which would also improve epidemiological surveys. The capacity to detect an early infection and the potential to be used to assess treatment efficiency, thereby increasing the chances of cure and preventing transmission by secondary pathways, would also be a great contribution towards managing Chagas disease [39–41].

Despite a consistent pattern of detection of the control lines, we observed that some LFA exhibited whitish spots over the antigen reaction area, while others displayed light to nearly fainted colors as a positive indication of detection. These effects could have been due to the production of the devices. In fact, LFA devices were not produced in industrial production facilities and machinery using Good Manufacturing Practice (GMP). This is the main limitation of our study. Herein, LFAs used were produced as a prototype to assess the ability of IBMP antigens to differentiate T. cruzi-positive samples from those negative. Moreover, different intensities patterns are expected in T. cruzi-positive samples, among patients, between proteins (IBMP-8.1 and IBMP-8.4), and also from the same patient collected at different periods. In the future, our group will carry out a phase II study using a high number of samples and LFA devices produced in an industrial laboratory. Despite these limitations, T. cruzi-positive samples showed visible reactivity for the IBMP-8.1 and/or IBMP-8.4 antigens, while lack of bands was observed in T. cruzi-negative samples, suggesting that they are eligible to enter phase II studies.

5. Conclusion

The results described in the present study show a high CD diagnostic capacity of two T. cruzi chimeric antigens in lateral flow assays (LFA) using samples with different clinical forms of Chagas disease. These results provide the basis for the development of LFA to be employed as point-of-care assays, presenting fast results either in healthcare facilities or in remote areas with limited resources. However, a large-scale study will be performed in order to validate and confirm the results observed so far.

Acknowledgments

The Gonçalo Moniz Institute (Fiocruz-BA) supported this work. This work was supported by the Coordination of Superior Level Staff Improvement-Brazil (CAPES)-Finance Code 001 and Research Support Foundation of the State of Bahia (FAPESB). This study also benefited from FINEP (grant agreement 01.11.0286.00) and BNDES (grant agreement 11.2.1328.1.) funding. Nilson I. T. Zanchin and Marco A Krieger are research fellows of CNPq (process no. 312195/2015-0 and 590032/2011-9, respectively).

Data Availability

The data supporting the conclusions of this article are provided within the article. The datasets generated and analyzed during the current study are available upon request to the corresponding author.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors' Contributions

EDS and AAOS contributed equally to this work.

Supplementary Materials

Supplementary Materials

List of Essential Items for Reporting Diagnostic Accuracy Studies (STARD).

Click here for additional data file. (33.1KB, docx)

References

  • 1.World Health Organization. Chagas disease in Latin America: an epidemiological update based on 2010 estimates. Weekly Epidemiological Record. 2015;90(6):33–43. [PubMed] [Google Scholar]
  • 2.World Health Organisation. Chagas disease (American trypanosomiasis) fact sheet (revised in June 2010) Weekly Epidemiological Record. 2010;85(34):334–336. [PubMed] [Google Scholar]
  • 3.Lidani K. C. F., Andrade F. A., Bavia L., et al. Chagas disease: from discovery to a worldwide health problem. Frontiers in Public Health. 2019;7:p. 166. doi: 10.3389/fpubh.2019.00166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rassi A., Rassi A., Marin-Neto J. A. Chagas disease. Lancet. 2010;375(9723):1388–1402. doi: 10.1016/S0140-6736(10)60061-X. [DOI] [PubMed] [Google Scholar]
  • 5.Rassi A., Rassi A., de Rezende J. M. American trypanosomiasis (Chagas disease) Infectious Disease Clinics of North America. 2012;26(2):275–291. doi: 10.1016/j.idc.2012.03.002. [DOI] [PubMed] [Google Scholar]
  • 6.Córdova E., Maiolo E., Corti M., Orduña T. Neurological manifestations of Chagas’ disease. Neurological Research. 2013;32(3):238–244. doi: 10.1179/016164110x12644252260637. [DOI] [PubMed] [Google Scholar]
  • 7.Sanchez-Camargo C. L., Albajar-Vinas P., Wilkins P. P., et al. Comparative evaluation of 11 commercialized rapid diagnostic tests for detecting Trypanosoma cruzi antibodies in serum banks in areas of endemicity and nonendemicity. Journal of Clinical Microbiology. 2014;52(7):2506–2512. doi: 10.1128/JCM.00144-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Zingales B. Trypanosoma cruzi genetic diversity: something new for something known about Chagas disease manifestations, serodiagnosis and drug sensitivity. Acta Tropica. 2018;184:38–52. doi: 10.1016/j.actatropica.2017.09.017. [DOI] [PubMed] [Google Scholar]
  • 9.Santos F. L. N., de Souza W. V., da Silva Barros M., Nakazawa M., Krieger M. A., de Miranda Gomes Y. Chronic Chagas disease diagnosis: a comparative performance of commercial enzyme immunoassay tests. The American Journal of Tropical Medicine and Hygiene. 2016;94(5):1034–1039. doi: 10.4269/ajtmh.15-0820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Leeflang M. M. G., Bossuyt P. M. M., Irwig L. Diagnostic test accuracy may vary with prevalence: implications for evidence-based diagnosis. Journal of Clinical Epidemiology. 2009;62(1):5–12. doi: 10.1016/j.jclinepi.2008.04.007. [DOI] [PubMed] [Google Scholar]
  • 11.Leeflang M. M. G., Rutjes A. W. S., Reitsma J. B., Hooft L., Bossuyt P. M. M. Variation of a test’s sensitivity and specificity with disease prevalence. Canadian Medical Association Journal. 2013;185(11):E537–E544. doi: 10.1503/cmaj.121286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Martin D. L., Gilman R. H., Escalante P., et al. Regional Variation in the Correlation of Antibody and T-Cell Responses to Trypanosoma cruzi. The American Journal of Tropical Medicine and Hygiene. 2014;90(6):1074–1081. doi: 10.4269/ajtmh.13-0391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Médecins Sans Frontières. International meeting: new diagnostic tests are urgently needed to treat patients with Chagas disease. Revista da Sociedade Brasileira de Medicina Tropical. 2008;41(3):315–319. doi: 10.1590/s0037-86822008000300020. [DOI] [PubMed] [Google Scholar]
  • 14.Camussone C., Gonzalez V., Belluzo M. S., et al. Comparison of recombinant Trypanosoma cruzi peptide mixtures versus multiepitope chimeric proteins as sensitizing antigens for immunodiagnosis. Clinical and Vaccine Immunology. 2009;16(6):899–905. doi: 10.1128/CVI.00005-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Santos F. L. N., Celedon P. A. F., Zanchin N. I. T., et al. Performance assessment of four chimeric Trypanosoma cruzi antigens based on antigen-antibody detection for diagnosis of chronic Chagas disease. PLoS One. 2016;11(8, article e0161100) doi: 10.1371/journal.pone.0161100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Santos F. L. N., Celedon P. A. F., Zanchin N. I. T., et al. Accuracy of chimeric proteins in the serological diagnosis of chronic Chagas disease - a Phase II study. PLOS Neglected Tropical Diseases. 2017;11(3, article e0005433) doi: 10.1371/journal.pntd.0005433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Santos F. L. N., Celedon P. A. F., Zanchin N. I. T., et al. Performance assessment of a Trypanosoma cruzi chimeric antigen in multiplex liquid microarray assays. Journal of Clinical Microbiology. 2017;55(10):2934–2945. doi: 10.1128/JCM.00851-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Santos F. L. N., Campos A. C. P., Amorim L. D. A. F., et al. Highly accurate chimeric proteins for the serological diagnosis of chronic Chagas disease: a latent class analysis. The American Journal of Tropical Medicine and Hygiene. 2018;99(5):1174–1179. doi: 10.4269/ajtmh.17-0727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Del-Rei R. P., Leony L. M., Celedon P. A. F., et al. Detection of anti-Trypanosoma cruzi antibodies by chimeric antigens in chronic Chagas disease-individuals from endemic South American countries. PloS ONE. 2019;14(4, article e0215623) doi: 10.1371/journal.pone.0215623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dopico E., del-Rei R. P., Espinoza B., et al. Immune reactivity to Trypanosoma cruzi chimeric proteins for Chagas disease diagnosis in immigrants living in a non-endemic setting. BMC Infectious Diseases. 2019;19(1):p. 251. doi: 10.1186/s12879-019-3872-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Daltro R. T., Leony L. M., Freitas N. E. M., et al. Cross-reactivity using ChimericTrypanosoma cruziAntigens: diagnostic performance in settings Where Chagas disease and American cutaneous or visceral leishmaniasis Are Coendemic. Journal of Clinical Microbiology. 2019;57(8) doi: 10.1128/JCM.00762-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Dean A. G., Sullivan K. M., Soe M. M., Mir R. A. OpenEpi: open source epidemiologic statistics for public health. 2013. http://www.OpenEpi.com.
  • 23.Schneider C. A., Rasband W. S., Eliceiri K. W. NIH image to ImageJ: 25 years of image analysis. Nature Methods. 2012;9(7):671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Swets J. Measuring the accuracy of diagnostic systems. Science. 1988;240(4857):1285–1293. doi: 10.1126/science.3287615. [DOI] [PubMed] [Google Scholar]
  • 25.Landis J. R., Koch G. G. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. doi: 10.2307/2529310. [DOI] [PubMed] [Google Scholar]
  • 26.Lewis M. D., Llewellyn M. S., Gaunt M. W., Yeo M., Carrasco H. J., Miles M. A. Flow cytometric analysis and microsatellite genotyping reveal extensive DNA content variation in Trypanosoma cruzi populations and expose contrasts between natural and experimental hybrids. International Journal for Parasitology. 2009;39(12):1305–1317. doi: 10.1016/j.ijpara.2009.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Chappuis F., Mauris A., Holst M., et al. Validation of a rapid immunochromatographic assay for diagnosis of Trypanosoma cruzi infection among Latin-American migrants in Geneva, Switzerland. Journal of Clinical Microbiology. 2010;48(8):2948–2952. doi: 10.1128/JCM.00774-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Roddy P., Goiri J., Flevaud L., et al. Field evaluation of a rapid immunochromatographic assay for detection of Trypanosoma cruzi infection by use of whole blood. Journal of Clinical Microbiology. 2008;46(6):2022–2027. doi: 10.1128/JCM.02303-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Barfield C. A., Barney R. S., Crudder C. H., et al. A highly sensitive rapid diagnostic test for Chagas disease that utilizes a recombinant Trypanosoma cruzi antigen. IEEE Transactions on Biomedical Engineering. 2011;58(3):814–817. doi: 10.1109/TBME.2010.2087334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mendicino D., Stafuza M., Colussi C., Barco M. ., Streiger M., Moretti E. Diagnostic reliability of an immunochromatographic test for Chagas disease screening at a primary health care centre in a rural endemic area. Memórias do Instituto Oswaldo Cruz. 2014;109(8):984–988. doi: 10.1590/0074-0276140153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Angheben A., Staffolani S., Tais S., et al. Accuracy of a rapid diagnostic test (cypress Chagas quick test®) for the diagnosis of chronic Chagas disease in a nonendemic area: a retrospective longitudinal study. The American Journal of Tropical Medicine and Hygiene. 2017;97(5):1486–1488. doi: 10.4269/ajtmh.17-0205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shah V., Ferrufino L., Gilman R. H., et al. Field evaluation of the InBios Chagas detect plus rapid test in serum and whole-blood specimens in Bolivia. Clinical and Vaccine Immunology. 2014;21(12):1645–1649. doi: 10.1128/CVI.00609-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Egüez K. E., Alonso-Padilla J., Terán C., et al. Rapid diagnostic tests duo as alternative to conventional serological assays for conclusive Chagas disease diagnosis. PLOS Neglected Tropical Diseases. 2017;11(4, article e0005501) doi: 10.1371/journal.pntd.0005501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ponce C., Ponce E., Vinelli E., et al. Validation of a rapid and reliable test for diagnosis of chagas’ disease by detection of Trypanosoma cruzi-specific antibodies in blood of donors and patients in Central America. Journal of Clinical Microbiology. 2005;43(10):5065–5068. doi: 10.1128/JCM.43.10.5065-5068.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Luquetti A. O., Ponce C., Ponce E., et al. Chagas’ disease diagnosis: a multicentric evaluation of Chagas Stat-Pak, a rapid immunochromatographic assay with recombinant proteins of Trypanosoma cruzi. Diagnostic Microbiology and Infectious Disease. 2003;46(4):265–271. doi: 10.1016/S0732-8893(03)00051-8. [DOI] [PubMed] [Google Scholar]
  • 36.Nieto P. D., Boughton R., Dorn P. L., et al. Comparison of two immunochromatographic assays and the indirect immunofluorscence antibody test for diagnosis of Trypanosoma cruzi infection in dogs in south Central Louisiana. Veterinary Parasitology. 2009;165(3–4):241–247. doi: 10.1016/j.vetpar.2009.07.010. [DOI] [PubMed] [Google Scholar]
  • 37.Flores-Chavez M., Cruz I., Nieto J., et al. Sensitivity and specificity of an operon immunochromatographic test in serum and whole-blood samples for the diagnosis of Trypanosoma cruzi infection in Spain, an area of nonendemicity. Clinical and Vaccine Immunology. 2012;19(9):1353–1359. doi: 10.1128/CVI.00227-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Brenière S. F., Waleckx E., Barnabé C. Over six thousand Trypanosoma cruzi strains classified into discrete typing units (DTUs): attempt at an inventory. PLOS Neglected Tropical Diseases. 2016;10(8, article e0004792) doi: 10.1371/journal.pntd.0004792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Senior K. Chagas disease: moving towards global elimination. The Lancet Infectious Diseases. 2007;7(9):p. 572. doi: 10.1016/S1473-3099(07)70194-9. [DOI] [PubMed] [Google Scholar]
  • 40.World Health Organization. New global effort to eliminate Chagas disease. Weekly Epidemiological Record= Relevé épidémiologique hebdomadaire. 2007;82(28-29):259–260. [PubMed] [Google Scholar]
  • 41.World Health Organization. Chagas disease: control and elimination. Sixty-Third World Health Assembly. 2010;63:1–4. [Google Scholar]

Associated Data

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Supplementary Materials

Supplementary Materials

List of Essential Items for Reporting Diagnostic Accuracy Studies (STARD).

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Data Availability Statement

The data supporting the conclusions of this article are provided within the article. The datasets generated and analyzed during the current study are available upon request to the corresponding author.

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