1. Introduction
Many tropical diseases are caused by parasites and transmitted by vectors. Among them is malaria, with 608,000 deaths in 2022 [
1], and many of the so-called neglected tropical diseases (NTD; i.e.: lymphatic filariasis, onchocerciasis, Chagas disease, and African human trypanosomiasis) that affect near 1.65 billion people globally [
2,
3]. The first step for appropriate control lies in a correct diagnosis which, following the World Health Organization (WHO) recommendations, should be sensitive, highly specific, and applicable in endemic areas with limited resources [
2,
4].
Tropical and subtropical areas of the planet harbour the bulk of parasitic infections. In these regions, coinfections are common due to high prevalence and infection/re-infection rates [
3,
5]. Control programs for such diseases—including those targeting malaria, African trypanosomiasis, or other specific pathologies—are conducted independently [
6,
7] without tackling them jointly to optimize available human and technical resources. In clinical cases, and regardless of the setting (endemic or non-endemic), if the patient has fever, malaria tests are performed, and other concomitant pathologies are only looked for if the result is negative, with some exceptions according to the experience of the clinician [
8]. Molecular techniques have greatly contributed to the improvement in the diagnosis of multiple diseases, including parasitic diseases. However, most available tests are directed towards individual pathogens, impairing the detection of other sympatric pathogens that can co-infect the same patient. To bridge this limitation, Multiple Analysis Systems (MAS) allow the detection of multiple pathogens in a single test and within a single sample, reducing screening costs and diagnostic turnaround times [
9,
10]. In addition, a wide range of MAS has been developed to test a variety of biological samples, including faecal, skin, saliva, urine, or blood, as well as for the analysis of genetic material in transmission vectors [
11]. However, only a few MAS currently target NTDs.
Here we describe a MAS based on a real-time PCR (RT-PCR) specifically designed for the detection of specific groups of parasites (Plasmodium spp., Trypanosomatidae, and Filariae) that, at some stage of their life cycles, are present in blood. The method is carried out in a single process using different primers and specific probes and incorporates an internal reaction control to distinguish between true negatives and potential amplification failures or suboptimal DNA extraction (false negatives).
2. Materials and Methods
The validation of the developed method was carried out by comparing the obtained results against accredited laboratory methods for the detection of these parasites including (i) a nested multiplex PCR for
Plasmodium spp. detection [
12], (ii) a nested PCR for Filariae detection [
13], and (iii) an RT-PCR for Trypanosomatidae detection [
14]. The evaluation of the MAS was carried out following the recommendations of the Spanish Society of Infectious Diseases and Clinical Microbiology [
15]. Performance parameters, including analytical sensitivity and specificity, positive and negative predictive values, analytical sensitivity, reproducibility, and repeatability, were estimated. In addition, we calculate the operational characteristics (turnaround time and economic cost).
2.1. Samples
Two sets of samples were retrospectively investigated in the present study:
- a)
Anonymized blood samples (n = 230) from returning travelers or immigrants coming from endemic malaria areas were sent to the Parasitology Reference and Research Laboratory at the National Microbiology Centre-Instituto de Salud Carlos III, for the testing of malaria and other tropical diseases. These samples were part of the repository of the Spanish National Biobanks (Registry number: C.0001392) which include the samples used in this study from three research projects for the study of imported malaria in Spain approved by the Ethics Committee of the Instituto de Salud Carlos III and the Research Ethics Committee of the 12 de Octubre University Hospital in Madrid (ISCIII CEI PI 74_2020 Date: 30/09/2020; ISCIII CEI PI 100_2022 Date: 26/01/2022 and H12O CEtm:.18/021 Date: 08/02/2022). They consisted of 119 Plasmodium-positive samples, including P. falciparum (n = 81), P. vivax (n = 13), P. ovale (n = 8), P. malariae (n = 8) and mixed infections by two Plasmodium species (n = 9). In addition, 33 samples for Filariae (Loa loa, n = 24; Mansonella perstans, n =7; mixed infections by L. loa + M perstans, n = 2), nine samples for Trypanosomatidae (Trypanosoma brucei, n = 4; Leishmania infantum, n =3; Trypanosoma cruzi, n = 2), and 69 negative samples were also available for the survey.
- b)
Faecal samples (
n = 58) from wild chimpanzees (
Pan troglodytes) collected in the Dindéfélo National Park (Kedougou, Senegal). These samples were a subset of the initial panel (
n = 234) originally used to screen for the presence of intestinal and hematic parasites [
14]. The animal study protocol was approved by the by the Research Ethics committee of the Instituto de Salud Carlos III (protocol code CEI PI 90_2018-v2) and the study was conducted in strict accordance with the Code of Best Practices for Field Primatology of the International Primatological Society [
16,
17]. They included two
Plasmodium-positive samples (
P. malariae,
n = 1;
Plasmodium spp.,
n = 1), 16 Trypanosomatidae-positive samples (
T. brucei sp.,
n =1;
Phytomonas sp.,
n =8; Trypanosomatidae spp.,
n = 5;
Bodo sp.,
n = 1;
Neobodo sp.,
n =1), nine Filariae-positive samples (
M. perstans,
n = 8;
Mansonella spp.,
n = 1), and 31 negative samples.
2.2. DNA Extraction and Purification
Genomic DNA was extracted from 200 µL of whole blood samples collected in EDTA and stored at –20 °C using the QIAamp DNA Mini Blood Kit (QIAGEN®, Hilden, Germany), according to the manufacturer's instructions.
Genomic DNA samples stored at 4 °C were originally isolated from 200 mg of faecal samples preserved in 70% ethanol using the QIAamp DNA Stool Mini Kit (QIAGEN®) according to the manufacturer's instructions.
2.3. Primers and Probes Design
Three PCR primers, one forward and two reverse, were designed in the small subunit ribosomal RNA (ssrRNA)gene sequence for the characterization of the Trypanosomatidae and Filariae families. The forward primer hybridized with both families whereas reverse primers were specific for each one. For the identification of
Plasmodium spp., two new primers were designed based on the cytochrome oxidase subunit 1 (COI) gene sequence. For the internal reaction control, previously designed primers were used [
12]. All primers (
Table 1) were designed
in silico under different cycling conditions such as maximum specificity, alignment temperatures in the range of 60–62 °C, and a maximum GC base content of 40% without self-complementarity, among others [
18]. The diagnostic performance of the designed primers was assessed in the laboratory with real human DNA samples.
2.4. Real Time PCR for Blood Parasite (RT-PCR-bp) Groups
The RT-PCR-bp reaction mix consisted of 1x Quantimix HotSplit (Biotools, Madrid, Spain) which contained the buffer, the polymerase and dNTPs, the corresponding amount of primers and probes (
Table 1), and 5 µl of template DNA in a final reaction volume of 20 µl.
The amplification conditions consisted of an initial denaturation step of five min at 95 °C, followed by 45 cycles of 10 s at 95 °C and 30 s at 60 °C60ºC where fluorescence was read in the yellow (excitation peak: 533 nm, emission peak: 559 nm), orange (excitation peak: 596 nm; emission peak: 615 nm), red (excitation peak at 651 nm and an emission peak at 670 nm.), and crimson (excitation peak: 683 nm; emission peak: 703 nm) channels. Amplification was performed in a Rotor-Gene Q 6 plex (QIAGEN®).
All samples were analysed in duplicate and positive controls for each group of parasites, a known negative sample, as well as DNA and No-DNA isolation controls were added to each reaction to detect possible reagent contamination.
2.5. Validation
Validation of the method was performed by direct comparison of obtained results with those from accredited PCR protocols in the laboratory. The reference method for
Plasmodium detection was a nested multiplex Malaria PCR (SnM-PCR) that identified the four
Plasmodium species that normally infect humans (
P. falciparum,
P. malariae,
P. ovale, and
P. vivax) [
12]. The reference method for Filariae was a nested PCR (nFil-PCR) that identified, by the size of the amplified fragments, the majority of the Filariae including
Wuchereria bancrofti,
Loa loa,
Mansonella perstans,
M. ozzardi,
Onchocerca volvulus and
Dirofilaria spp. [
13]. The reference method for Trypanosomatidae was a RT-PCR (RT-PCR-Tryp), capable of identifying
T. brucei, T. cruzi,
Leishmania spp., and other kinetoplasts [
15]. In case of discrepant results, both tests were repeated. The cases in which the IC was negative were not considered.
2.6. Analytical Sensitivity and Specificity
The analytical sensitivity (or limit of detection, LoD) was calculated in positive samples for each human
Plasmodium species, for one
T. brucei sample, and one
L. loa sample using 10-fold serial dilutions. All samples were tested in duplicates. The initial parasitemia of samples was calculated by microscopy using Giemsa-stained blood smears and following WHO recommendations [
19,
20,
21] (
Table 2).
The LoD was defined as the lowest parasite concentration in which samples and their duplicates were positive [
22]. The analytical specificity was determined from the blood samples that were positive for one of the blood parasite groups but negative for the others, detecting possible cross-reactions.
2.7. Intra-Assay Precision
To calculate the intra-assay precision (or repeatability) of the technique, three positive DNA samples for each group of blood parasites with three different levels of parasitemia (high, medium, and low) were analysed by the RT-PCR-bp in three consecutive days and on the same RT-PCR machine [
15].
2.8. Inter-Assay Precision
To calculate the inter-assay precision (or reproducibility) of the technique, amplifications of three positive DNA samples for each group of blood parasites with three different levels of parasitemia (high, medium, and low) were carried out on the same day in three different RT-PCR machines [
15].
2.9. Performance Parameters
Performance parameters including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy and kappa index were calculated with 95% confidence intervals (95% CI) using Epi Data software version 3.1.
2.10. Operational Features
The processing time was measured from the moment the sample was processed for nucleic acid extraction until the diagnostic result was obtained. Costs per sample were calculated, excluding the expenses for controls included in each run and any duplication of samples. Staff-related costs were estimated based on the time required to perform the techniques. These cost estimates were specific to procedures conducted in Spain; in other countries, kit prices may vary significantly, even between institutions. However, the relative cost differences are expected to remain comparable.
3. Results
3.1. Validation
Primer set concentrations used in the RT-PCR-bp were calculated in silico according to temperature. The optimal binding temperature for each set of primers was determined using gradient PCRs in a C1000 Thermal Cycler (BioRad, Berkeley, California, USA). This temperature was set at 60 °C.
The optimal concentrations of the probes were determined empirically, being 0.15 μM for all, except for the IC probe that was set at 0.06 μM because mammalian (human or primate) DNA was highly represented in the samples.
3.2. Analytical Sensitivity and Specificity
The LoDs obtained were estimated in the range of 0.6 to 3.01 parasites/µl for
Plasmodium species, 0.0018 parasites/µl for
T. brucei, and for 2 microfilariae/ml in the case of
L. loa (
Table 2).
The analytical specificity was determined in the 102 positive blood samples. Only three blood DNA samples showed co-infections involving P. falciparum + L. loa. The specific PCRs (SnM-PCR and nFil-PCR) confirmed the results in all three cases, so it was determined that there was no cross-reactivity and that the specificity was 100%.
3.3. Intra-Assay Precision
Repeatability indicates the rate of variation of the method on the same sample when it is used repeatedly under the same conditions and in the same place; in this case for three successive days on the same PCR machine (
Table 3).
3.4. Inter-Assay Precision
Reproducibility refers to the percentage of variation in results when different people use the same method in different places or qPCR machines, in this case, it was performed on three different qPCR machines (
Table 4).
3.5. Diagnostic Performance of the RT-PCR-Bp assay
A concordance of 99.1% (228/230) was achieved between the diagnostic results obtained with the RT-PCR-bp assay and the reference PCR methods of the Parasitology Reference and Research Laboratory (
Table 5). Only two Filariae samples were not identified by the RT-PCR-bp assay.
The RT-PCR-bp assay showed sensitivity, specificity, PPV, and NPV values of 100% for
Plasmodium spp. while for Filariae these values ranged from 89.5% to 100% (
Table 6). In the case of Trypanosomatidae, these values couldn’t be statistically calculated due to the low sample number, although 100% of the samples gave the expected result.
Of the 58 stool DNA samples, 34 were positive by RT-PCR-bp (58.6%) while previously only 27 (46.5%) samples tested positive in the study of Köster et al., 2021. In addition, the RT-PCR-bp assay allowed the identification of 9 mixed infections that were missed by the reference PCR methods (
Table 7). In Trypanosomatidae, three expected positive cases were negative, whereas four new positive cases were detected.
3.6. Operational Features
The estimated turnaround time to complete the process—from sample processing to the provision of results—was 3 h and 30 min for the RT-PCR-bp. In comparison, the turnaround time for the reference methods was approximately the same for the RT-PCR for Trypanosomatidae, but significantly longer for the conventional SnM-PCR and nested Filariae PCR (
Table 8).
The hands-on time was notably shorter for the RT-PCR-bp, involving only sample preparation, PCR setup, and result analysis, amounting to approximately 1 h. For the reference methods, the hands-on time increased significantly due to the need to prepare five separate PCRs, including the two conventional nested PCRs, and conduct the corresponding electrophoretic procedures, totalling approximately 5 h.
Regarding costs per sample, for the RT-PCR-bp, the amplification kit, probes, and primers must be considered, assuming approximately €6 per reaction. For the RT-PCR of Trypanosomatidae, the cost was slightly lower at €5 per reaction, as it uses only two probes instead of four. For the two conventional nested PCRs, the cost is around €2 per sample, including the amplification kits, dNTPs, primers, and electrophoresis components. Overall, the total cost for the reference methods amounts to €9 per sample.
4. Discussion
Parasitic diseases, including malaria, human African trypanosomiasis, Chagas disease, and lymphatic filariasis—among other NTDs—continue to threaten over 1 billion people worldwide and are recognized as major global vector-borne diseases [
3,
23]. Despite the implementation of several control strategies and programs in tropical countries, the complex life cycles of parasites, the existence of animal reservoirs, and the co-endemicity of multiple pathogens underscore the urgent need for new control approaches. These approaches should incorporate MAS-based methods, instead of single detection systems such as rapid diagnostic tests or loop-mediated isothermal amplification (LAMP) [
24], which offer highly sensitive and multiplexed screening for several pathogens in a single test [
10].
This work presents a cost-effective and highly sensitive multiplexed tool (RT-PCR-bp) that can effectively and simultaneously detect Plasmodium spp., Trypanosomatidae, and filarial worms using specific fluorescence probes, allowing the detection of low parasite loads and co-infections. An asset of the RT-PCR-bp is the incorporation of an internal reaction control for differentiating DNA extraction errors and amplification failures from true negative results. Furthermore, no unspecific amplifications or cross-reactions among the three groups of blood pathogens tested here were observed, proving the diagnostic usefulness of this method in detecting mixed infections.
The RT-PCR-bp merges in a single reaction, a previously designed RT-PCR for Trypanosomatidae, and a transformation of a conventional PCR into an RT-PCR for the detection of filarial worms with the design of a new specific probe [
14]. Both assays were based on the amplification of the ssrRNA marker. In addition, two new primers and their corresponding specific probe have been designed based on the mitochondrial COI gene for the specific detection of
Plasmodium spp.
According to the results obtained, whereas the analytical specificity was 100%, the only observed variation for the three groups of blood parasites was related to the reproducibility precision values due to each equipment's inherent limitations in quantifying low parasite loads. It is important to note that these parameters are directly related to each equipment and to their correct maintenance and calibration, and not to the assay itself. However, both parameters provided this method as a reliable tool, with every sample correctly detected as positive for each group of parasites and each parasite load in every essay.
Besides, the statistical values showed that this method is comparable with our previously mentioned reference methods and the analytical sensitivity, with detection limits of 0.73–3.01 parasites/μl for
Plasmodium spp. (depending on the species), 0.0018 parasites/μl for
T. brucei and 2 microfilariae/ml, aligns with other established methods. For malaria, the LoD is comparable to those reported by other researchers using Nested PCR, RT-PCR, and LAMP [
12,
13,
24,
25]. However, the RT-PCR-bp method demonstrates a LoD one logarithm lower for the detection of P
. ovale (0.61 parasites/μl), compared to 0.21 and 2.3 parasites/μl in LAMP and RT-PCR, respectively [
24,
25]. These discrepancies may be attributed to differences in the
P. ovale subspecies analysed, as previous studies did not differentiate between them [
24]. Overall, this method showed a general sensitivity for
Plasmodium spp., which corresponds favourably to other published RT-PCR methods with detection limits around 1p/μl [
26]. In Trypanosomatidae, various studies have reported LoDs ranging from 0.1 parasites/ml in the case of
T. brucei [
27,
28], to 0.5 and 5 p/ml depending on the species [
29,
30] and genotype of
T. cruzi [
29,
30,
31], similar to the obtained with the current method (1.8 parasite/ml). For filariasis, the detection limit depends on the species, as shown by other authors [
32], for
Mansonella perstans microfilaremia below 0.61 µf/ml is not detected, while parasitemias over 2.5 µf/ml are detected independently of the species [
32]. The LoD of the RT-PCR-bp was 2 µf/ml, which correlates with the previous study.
A key aspect of this method is the detection of mixed infections by [
29,
30,
31] two or more parasite groups. Initially, samples corresponding to mixed infections between groups had not been included since these samples had arrived at the Reference Laboratory to diagnose or confirm a single pathology, but when applying the method, three mixed infections of
Plasmodium spp. and filarial worms were characterized. Likewise, 16% of coinfections were observed in the faecal samples of the chimpanzees. This shows the importance of multiple detection systems to perform a correct diagnosis of mixed infections and here, molecular methods are essential due to their greater sensitivity and specificity compared to microscopy [
25]. Misdiagnosis of mixed infections may involve inadequate treatment, damaging the patient’s health and the control of the disease endemic areas [
25].
It is important to note that faecal samples are not optimal biological samples for detecting blood parasites such as
Plasmodium spp., Filariae, or
Trypanosoma spp., which are more accurately identified in blood samples. However, other studies have shown the presence of these parasites in non-human primate faeces [
33,
34,
35,
36]. In this study, the value of using these samples was the comparison with the previous published results by Köster et al. (2021) [
14]. The new RT-PCR-bp incorporates the Trypanosomatidae detection PCR (RT-PCR-Tryp) used in that work, so no improvements were expected. On the contrary, in the case of Filariae, where a conventional nested PCR method has been changed to an RT-PCR, the percentage of samples infected with Filariae has gone from 15.5% to 24.0%. In malaria, the increase is still greater, from 3.4% to 21.0%. This could be attributed not only to the switch from conventional PCR to RT-PCR but also to the change in target from the ssrRNA to the mitochondrial COI gene.
Regarding operational characteristics, the time required to obtain results was significantly shorter with RT-PCR-bp compared to the reference methods. This efficiency is also evident in the reduced staff working time, with the reference methods requiring approximately 4 additional hours. Moreover, the cost of RT-PCR-bp is lower than the combined price of all the reference methods. Therefore, it is recommended to use the RT-PCR-bp assay as a screening tool. For positive cases, the corresponding PCR assays can then be employed to identify the species involved in the infection or to sequence the amplified fragments.
The limitations of this study are related to the number of samples available for the different pathologies, especially in the cases of Trypanosomatidae and mixed infections. Another limitation is related to costs since the prices of amplification kits, probes and primers vary between countries and those reflected here may not be extrapolated.
5. Conclusions
Overall, the RT-PCR-bp method presented here demonstrated high sensitivity, specificity, and cost-effectiveness as a multiple analysis system capable of the simultaneous detection of Plasmodium spp., Trypanosomatidae, and filarial parasites. This approach enables the diagnosis of low parasite loads and co-infections, facilitating appropriate control measures for multiple etiological agents in a single test. Consequently, it contributes to timely and improved diagnosis and treatment.
Author Contributions
Conceptualization, J.M.R., M.F-C., A.C-C. and V.A-B; methodology, A.C-C., V.A-B., M.F-C, J.M.R. and M.L.; validation, A.C-C., V.A-B., D.C., P.C.K.; formal analysis, M.F-C., J.M.R.; Investigation, A.C-C., J.M.R.; Resources, J.R.H., A.B., P.C.K., E.C., A.C-C. and V.A-B.; data curation, A.C-C., M.F-C. and J.M.R.; writing—original draft preparation, J.M.R., A.C-C.; writing—review and editing, J.M.R., A.C-C., D.C.; supervision, J.M.R., M.F-C.; funding acquisition, J.M.R.. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Spanish Strategic Health Action (AESI-ISCIII), Grant number PI22CIII/00033. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, laboratory samples came from the repository of the Parasitology Reference and Research Laboratory (Collection Number: C.0001392. Spanish National Biobanks Registry) which include the samples used in this study from three research projects for the study of imported malaria in Spain approved by the Research Ethics Committee of the Instituto de Salud Carlos III and the Research Ethics Committee of the 12 de Octubre University Hospital in Madrid (ISCIII CEI PI 74_2020 Date: 30/09/2020; ISCIII CEI PI 100_2022 Date: 26/01/2022 and H12O CEtm:.18/021 Date: 08/02/2022). The animal study protocol was approved by the by the Research Ethics committee of the Instituto de Salud Carlos III (protocol code CEI PI 90_2018-v2) and following the Guidelines of Best Practices for Field Primatology of the protocols of the International Primatological Society.
Informed Consent Statement
Human samples are sent to the laboratory either as part of research projects—accompanied by informed consent that allows their storage in a biobank or collection after the project concludes (protocol Ethics Committee of the Instituto de Salud Carlos III CEI PI 74_2020 Date: 30/ 09/2020; Ethics Committee of the Instituto de Salud Carlos III CEI PI 100_2022 Date: 01/26/2022 and Ethics Committee of the 12 de Octubre University Hospital in Madrid CEtm:.18/021 Date: 02/08/2022) —or for diagnostic purposes. In the latter case, the samples are anonymized and stored in a collection, to be used following the ethical standards established by the Ethics Committee of the Instituto de Salud Carlos III, aimed at improving and validating diagnostic methods related to the initial diagnostic suspicion. In both scenarios, once the embargo period has ended or the research project is completed, the samples are stored in the laboratory's Spanish National Biobanks Registry sample collection Number: C.0001392.
Data Availability Statement
All data are available upon request (jmrubio@isciii.es).
Acknowledgments
The authors are grateful to all personnel from the Malaria and Emerging Parasitic Diseases Laboratory from the National Centre for Microbiology (ISCIII, Spain) and to the staff of the Dindéfélo Biological Station (Senegal) for their support and valuable comments on this manuscript.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- World Health Organization; 2023. World Malaria Report 2023. Geneva:. Licence: CC BY-NC-SA 3.0 IGO.
- World Health Organization; 2024. Global Report on Neglected Tropical Diseases 2024. Geneva: Licence: CC BY-NC-SA 3.0 IGO.
- Tidman, R.; Abela-Ridder, B.; de Castañeda, R.R. The impact of climate change on neglected tropical diseases: a systematic review. Trans R Soc Trop Med Hyg. 2021, 115: 147–168. [CrossRef]
- Hotez, P.J.; Remme, J.H.F.; Buss, P.; Alleyne, G.; Morel, C.; Breman, J.G. Combating tropical infectious diseases: Report of the Disease Control Priorities in Developing Countries Project. Clin Infect Dis. 2004, 38, 871–878. [CrossRef]
- Short, E.E.; Caminade, C.; Thomas, B.N. Climate change contribution to the emergence or re-emergence of parasitic diseases. Infect Dis. 2017, 10, 1178633617732296. [CrossRef]
- World Health Organization Control and surveillance of human African trypanosomiasis. WHO Tech Rep Series, 2013, ;984:1–237.
- Büscher, P.; Bart, J.M.; Boelaert, M.; Bucheton, B.;, Cecchi, G.; Chitnis, N.; Courtin, D.; Figueiredo, L.M.; Franco, J.R.; Grébaut, P.; Hasker, E.; Ilboudo, H.; Jamonneau, V.; Koffi, M.; Lejon, V.; MacLeod, A.; Masumu, J.; Matovu, E.; Mattioli, R.; Noyes, H.; Picado, A.; Rock, K.S.; Rotureau, B.; Simo, G.; Thévenon, S.; Trindade, S.; Truc, P.; Van Reet, N. Do cryptic reservoirs threaten Gambiense-sleeping sickness elimination? Trends Parasitol. 2018, 34:197–207. [CrossRef]
- González-Macea, O.; Martínez-Ávila, M.C.; Pérez, M.; Tibocha Gordon, I.; Arroyo Salgado, B. Concurrent dengue-malaria infection: The importance of acute febrile illness in endemic zones. Clin Med Insights Case Rep. 2023, 16, 11795476221144585. [CrossRef]
- Dacal, E.; Köster, P.C.; Carmena, D. Diagnóstico molecular de parasitosis intestinales. Enferm Infecc Microbiol Clin. 2020, 38 Suppl 1:24–31. [CrossRef]
- Rougemont, M.; Van Saanen, M.; Sahli, R.; Hinrikson, H.P.; Bille, J.; Jaton, K. Detection of four Plasmodium species in blood from humans by 18S rRNA gene subunit-based and species-specific real-time PCR assays. J Clin Microbiol. 2004, 42:5636–5643. [CrossRef]
- Putaporntip, C.; Buppan, P.; Jongwutiwes, S. Improved performance with saliva and urine as alternative DNA sources for malaria diagnosis by mitochondrial DNA-based PCR assays. Clin Microbiol Infect. 2011, 17:1484–1491. [CrossRef]
- Ta, T.H.; Hisam, S.; Lanza, M.; Jiram, A.I.; Ismail, N.; Rubio, J.M. First case of a naturally acquired human infection with Plasmodium cynomolgi. Malaria J. 2014, 13:68. [CrossRef]
- Tang, T.H.; López-Vélez, R.; Lanza, M.; Shelley, A.J.; Rubio, J.M.; Luz, S.L. Nested PCR to detect and distinguish the sympatric filarial species Onchocerca volvulus, Mansonella ozzardi and Mansonella perstans in the Amazon Region. Mem Inst Oswaldo Cruz. 2010, 105, :823–828. [CrossRef]
- Köster, P.C.; Renelies-Hamilton, J.; Dotras, L.; Llana, M.; Vinagre-Izquierdo, C.; Prakas, P.; Sneideris, D.; Dashti, A.; Bailo, B.; Lanza, M.; Jiménez-Mejías, A.; Muñoz-García, C.; Muadica, A.S.; González-Barrio, D.; Rubio, J.M.; Fuentes, I.; Ponce-Gordo, F.; Calero-Bernal, R.; Carmena, D. Molecular detection and characterization of intestinal and blood parasites in wild chimpanzees (Pan troglodytes verus) in Senegal. Animals (Basel). 2021, 11, 3291. [CrossRef]
- García-Fernández, S.; Vergara-Gómez, A.; Sánchez-Díaz, A.M.; Albert Vicent, E. 2022. 76. Estudios de evaluación del rendimiento analítico y clínico de productos sanitarios para diagnóstico in vitro. García-Fernández, S. (coordinador). Procedimientos en Microbiología Clínica. Cercenado Mansilla, E.; Cantón Moreno, R. (editores). Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica (SEIMC). 2022.
- Gilardi, K.V.; Gillespie, T.R.; Leendertz, F.H.; Macfie, E.J.; Travis, D.A.; Whittier, C.A.; Williamson, E.A. Best practice guidelines for health monitoring and disease control in great ape populations. Retrieved December 2, 2024, from Iucn.org website: https://portals.iucn.org/library/sites/library/files/documents/ssc-op-056.pdf.
- MacKinnon, K.; Riley, E.; Garber, P.; Setchell, J.; Fernandez-Duque, E. Code of Best Practices for Field Primatology. 2014. [CrossRef]
- Ebertz, A. (2022, September 5). Primer design guide – The top 5 factors to consider for optimum performance. Retrieved December 12, 2024, from The DNA Universe BLOG website: https://the-dna-universe.com/2022/09/05/primer-design-guide-the-top-5-factors-to-consider-for-optimum-performance.
- World Health Organization. Basic malaria microscopy. Geneva; 2010.Part I. Learner’s guide. Second edition. License: CC BY-NC-SA 3.0 IGO.ISBN 978 92 4 154782 6.
- World Health Organization, 1997. Bench aids for the diagnosis of filarial infections. ISBN 92 41544899.
- World Health Organization; 1991. Basic laboratory methods in medical parasitology. https://iris.who.int/handle/10665/40793.
- Saah, A.J.; Hoover, D.R. Sensitivity and specificity reconsidered: the meaning of these terms in analytical and diagnostic settings. Ann Int Med. 1997, 126:91–94. [CrossRef]
- Mitra, A.K.; Mawson, A.R. Neglected tropical diseases: Epidemiology and global burden. Trop Med Infect Dis. 2017, 5:36. [CrossRef]
- Nguyen TK, Jun H, Louis JM, Mazigo E, Lee WJ, Youm HC, Shin J, Lungu DK, Kanyemba C, Ahmed MA, Muh F, Lee SJ, Na S, Chun W, Park WS, No JH, Kim MJ, Han ET, Han JH. Enhancing malaria detection in resource-limited areas: A high-performance colorimetric LAMP assay for Plasmodium falciparum screening. PLoS One. 2024 Feb 9;19(2):e0298087. PMID: 38335219; PMCID: PMC10857711. [CrossRef]
- Ramírez AM, Tang THT, Suárez ML, Fernández AÁ, García CM, Hisam S, Rubio JM. Assessment of Commercial Real-Time PCR Assays for Detection of Malaria Infection in a Non-Endemic Setting. Am J Trop Med Hyg. 2021 Oct 12;105(6):1732-1737. PMID: 34662870; PMCID: PMC8641344. [CrossRef]
- Mangold, K. A., Manson, R. U., Koay, E. S. C., Stephens, L., Regner, M., Thomson, R. B., Jr, … Kaul, K. L. (2005). Real-Time PCR for Detection and Identification of Plasmodium spp. Journal of Clinical Microbiology, 43(5), 2435–2440. [CrossRef]
- Masiga, D.K.; Smyth, A.J.; Hayes, P.; Bromidge, T.J.; Gibson, W.C. Sensitive detection of trypanosomes in tsetse flies by DNA amplification. Int J Parasitol. 1992, 22:909–918. [CrossRef]
- Gummery, L.; Jallow, S.; Raftery, A.G.; Bennet, E.; Rodgers, J.; Sutton, D.GM. Comparison of loop-mediated isothermal amplification (LAMP) and PCR for the diagnosis of infection with Trypanosoma brucei ssp. in equids in The Gambia. PLoS One. 2020, 15:e0237187. [CrossRef]
- Sá, A.R.N.; Kimoto, K.Y.; Steindel, M.; Grisard, E.C.; Gomes, M.L. Limit of detection of PCR/RFLP analysis of cytochrome oxidase II for the identification of genetic groups of Trypanosoma cruzi and Trypanosoma rangeli in biological material from vertebrate hosts. Parasitol Res. 2018, 117:2403–2410. [CrossRef]
- Seiringer, P.; Pritsch, M.; Flores-Chavez, M.; Marchisio, E.; Helfrich, K.; Mengele, C.; Hohnerlein, S.; Bretzel, G.; Löscher, T.; Hoelscher M, Berens-Riha N. Comparison of four PCR methods for efficient detection of Trypanosoma cruzi in routine diagnostics. Diagn Microbiol Infect Dis. 2017, 88:225–232. [CrossRef]
- Schijman, A.G.; Bisio, M.; Orellana, L.; Sued, M.; Duffy, T.; Mejia Jaramillo, A.M.; Cura, C.; Auter, F.; Veron, V.; Qvarnstrom, Y.; Deborggraeve, S.; Hijar, G.; Zulantay, I.; Lucero, R.H.; Velazquez, E.; Tellez, T.; Sanchez Leon, Z.; Galvão, L.; Nolder, D.; Monje Rumi, M.; Levi, J.E.; Ramirez, J.D.; Zorrilla, P.; Flores, M.; Jercic, M.I.; Crisante, G.; Añez, N.; De Castro, A.M.; Gonzalez, C.I.; Acosta Viana, K.; Yachelini, P.; Torrico, F.; Robello, C.; Diosque, P.; Triana Chavez, O.; Aznar, C.; Russomando, G.; Büscher, P.; Assal, A.; Guhl, F.; Sosa Estani, S.; DaSilva, A.; Britto, C.; Luquetti, A.; Ladzins, J. International study to evaluate PCR methods for detection of Trypanosoma cruzi DNA in blood samples from Chagas disease patients. PLoS Negl Trop Dis. 2011, 5:e931. [CrossRef]
- Formenti, F.; Tang, T.T.; Tamarozzi, F.; Silva, R.; La Marca, G.; Pajola, B.; Piubelli, C.; Perandin, F.; Rubio, J.M.; Escolar, E.M.; Bisoffi, Z.; Gobbi, F. Preliminary comparison between an in-house real-time PCR vs microscopy for the diagnosis of Loa loa and Mansonella perstans. Acta Trop. 2021, 216:105838. [CrossRef]
- Kaiser, M.; Löwa, A.; Ulrich, M.; Ellerbrok, H.; Goffe, A.S.; Blasse, A.; Zommers, Z.; Couacy-Hymann, E.; Babweteera, F.; Zuberbühler, K.; Metzger, S.; Geidel, S.; Boesch, C.; Gillespie, T.R.; Leendertz, F.H. Wild chimpanzees infected with 5 Plasmodium species. Emerg Infect Dis. 2010, 16:1956–1959. [CrossRef]
- Gaillard, C.M.; Pion, S.D.; Hamou, H.; Sirima, C.; Bizet, C.; Lemarcis, T.; Rodrigues, J.; Esteban, A.; Peeters, M.; Mpoudi Ngole, E.; Mombo, I.; Liégeois, F.; Martin, C.; Boussinesq, M.; Locatelli, S. Detection of DNA of filariae closely related to Mansonella perstans in faecal samples from wild non-human primates from Cameroon and Gabon. Parasit Vectors. 2020, 13:313. [CrossRef]
- Jirků, M.; Votýpka, J.; Petrželková, K.J.; Jirků-Pomajbíková, K.; Kriegová, E.; Vodička, R.; Lankester, F.; Leendertz, S.A.; Wittig, R.M.; Boesch, C.; Modrý, D.; Ayala, F.J.; Leendertz, F.H.; Lukeš, J. Wild chimpanzees are infected by Trypanosoma brucei. Int J Parasitol Parasites Wildl. 2015, 4:277–282. [CrossRef]
- Votýpka, J.; Pafčo, B.; Modrý, D.; Mbohli, D.; Tagg, N.; Petrželková, K.J. An unexpected diversity of trypanosomatids in faecal samples of great apes. Int J Parasitol Parasites Wildl. 2018, 7:322–325. [CrossRef]
Table 1.
Oligonucleotides used for the molecular detection of the parasites investigated in the present study. Specificity and final concentration values are indicated.
Table 1.
Oligonucleotides used for the molecular detection of the parasites investigated in the present study. Specificity and final concentration values are indicated.
| Primer |
Sequence (5´–3´) |
Specificity |
Concentration (µM) |
| JM-U-0011F |
CAAGTCTGGTGCCAGCA |
Universal |
0.2 |
| JM-T-349R |
CCAACAAAAGECGAAACGGTGGCC |
Trypanosomatidae |
0.2 |
| JM-Fi-0015R |
CAAGGTAAACTTGCTAGCCAC |
Filariae |
0.2 |
| JM-P-COI2F |
GGTGTGTACAAGGCAACAATAC |
Plasmodium spp. |
0.2 |
| JM-P-COI1R |
CATATAACGGTAAGAAGGTTCGC |
Plasmodium spp. |
0.2 |
| IC-Forw |
GAGCCGCCTGGATACCGC |
Mammals |
0.2 |
| IC-Rev |
GACGGTATCTGATCGTCTTC |
Mammals |
0.2 |
| Tryp 681 |
TxRd–GCTGTTGCTGTTAAAGGGTTCGTAG–BHQ2 |
Trypanosomatidae |
0.15 |
| Fi 101 |
Cy5.5–GGTCCATYCATTGGATGAGAACT–BHQ2 |
Filariae |
0.15 |
| MALCOI 2 |
Cy5–ATTGGCACCTCCATGTCGTCTCAT–BHQ2 |
Plasmodium spp. |
0.15 |
| IC |
Hex–TCGCTCTGGTCCGTCTTG–BHQ1 |
Mammals |
0.06 |
Table 2.
Initial parasitemia/microfilaremia levels and calculated limits of detection (LoD) in the serially diluted samples.
Table 2.
Initial parasitemia/microfilaremia levels and calculated limits of detection (LoD) in the serially diluted samples.
| Parasite |
Initial Parasitemia or Microfilaremia |
LoD |
| Plasmodium falciparum |
73,000 parasites/µl |
0.73 parasites/µl |
| Plasmodium vivax |
301 parasites/µl |
3.01 parasites/µl |
| Plasmodium ovale |
6,110 parasites/µl |
0.61 parasites/µl |
| Plasmodium malariae |
107 parasites/µl |
1.07 parasites/µl |
| Trypanosoma brucei |
1,800 parasites/µl |
0.0018 parasites/µl |
| Loa loa |
200 microfilariae/ml |
2 microfilariae/ml |
Table 3.
DNA concentration values obtained in the intra-assay precision analysis conducted in the present study. The values indicated the amount of parasites/µl for Plasmodium spp. (P. falciparum samples) and Trypanosomatidae (T. brucei samples) or the amount of microfilariae/ml for Filariae (Loa loa samples). Standard deviation and precision values are indicated.
Table 3.
DNA concentration values obtained in the intra-assay precision analysis conducted in the present study. The values indicated the amount of parasites/µl for Plasmodium spp. (P. falciparum samples) and Trypanosomatidae (T. brucei samples) or the amount of microfilariae/ml for Filariae (Loa loa samples). Standard deviation and precision values are indicated.
| Species |
Parasitemia |
Day 1 |
Day 2 |
Day 3 |
Standard deviation |
Precision (%) |
|
Plasmodium spp. |
High |
6.98E+04 |
7.08E+04 |
7.30E+04 |
1.64E+03 |
97.70 |
| Medium |
7.02E+03 |
7.19E+03 |
7.30E+03 |
1.41E+02 |
98.03 |
| Low |
4.84E+01 |
4.22E+01 |
5.36E+01 |
5.71E+00 |
88.13 |
| Trypanosomatidae |
High |
1.84E+04 |
1.80E+04 |
1.84E+04 |
2.29E+02 |
98.75 |
| Medium |
1.82E+03 |
1.74E+03 |
1.68E+03 |
7.26E+01 |
95.85 |
| Low |
6.30E+01 |
8.10E+01 |
6.30E+01 |
1.04E+01 |
84.94 |
| Filariae |
High |
1.19E+05 |
1.27E+05 |
1.19E+05 |
4.85E+03 |
96.00 |
| Medium |
2.00E+02 |
2.03E+02 |
2.15E+02 |
7.94E+00 |
96.15 |
| Low |
9.20E+01 |
6.60E+01 |
5.40E+01 |
1.94E+01 |
72.51 |
Table 4.
DNA concentration values obtained in the inter-assay precision analysis conducted in the present study. The values indicated the amount of parasites/µl for Plasmodium spp. (P. falciparum samples), Trypanosomatidae (T. brucei samples) and microfilariae/ml for Filariae (Loa loa samples). Standard deviation and precision values are indicated.
Table 4.
DNA concentration values obtained in the inter-assay precision analysis conducted in the present study. The values indicated the amount of parasites/µl for Plasmodium spp. (P. falciparum samples), Trypanosomatidae (T. brucei samples) and microfilariae/ml for Filariae (Loa loa samples). Standard deviation and precision values are indicated.
| Species |
Parasitemia |
M1 |
M2 |
M3 |
Standard deviation |
Precision (%) |
|
Plasmodium spp. |
High |
2.59E+03 |
2.31E+03 |
2.01E+03 |
2.90E+02 |
87.41 |
| Medium |
3.83E+02 |
4.30E+02 |
5.24E+02 |
7.18E+01 |
83.89 |
| Low |
2.90E+00 |
5.01E+00 |
4.62E+00 |
1.12E+00 |
73.12 |
| Trypanosomatidae |
High |
1.38E+04 |
1.37E+04 |
1.24E+04 |
7.81E+02 |
94.13 |
| Medium |
2.52E+03 |
2.61E+03 |
1.38E+03 |
6.86E+02 |
68.40 |
| Low |
1.41E+02 |
1.44E+02 |
2.54E+02 |
6.43E+01 |
64.16 |
| Filariae |
High |
3.24E+03 |
2.83E+03 |
2.92E+03 |
2.15E+02 |
92.81 |
| Medium |
3.12E+02 |
2.48E+02 |
3.53E+02 |
5.29E+01 |
82.61 |
| Low |
1.72E+01 |
6.57E+01 |
2.24E+01 |
9.54E+00 |
61.99 |
Table 5.
Comparison of the diagnostic performance of the RT-PCR-bp and the reference PCR methods for the detection of blood parasites in blood DNA samples (n =230).
Table 5.
Comparison of the diagnostic performance of the RT-PCR-bp and the reference PCR methods for the detection of blood parasites in blood DNA samples (n =230).
| |
Reference PCR methods |
RT-PCR-bp |
|
Plasmodium spp. |
119 |
119 |
| Plasmodium falciparum |
81 |
|
| Plasmodium vivax |
13 |
|
| Plasmodium malariae |
8 |
|
| Plasmodium ovale |
8 |
|
| Mixed Infections |
9 |
|
| Trypanosomatidae |
9 |
9 |
| Leishmania infantum |
3 |
|
| Trypanosoma brucei |
4 |
|
| Trypanosoma cruzi |
2 |
|
| Filariae |
33 |
31 |
| Mansonella perstans |
7 |
|
| Loa loa |
24 |
|
| Mixed Infections |
2 |
|
| Negative |
69 |
71 |
| Total |
230 |
230 |
Table 6.
Performance parameters of the RT-PCR-bp developed in the present study. 95% Confidence Intervals (95% CI) and Kappa index values are indicated.
Table 6.
Performance parameters of the RT-PCR-bp developed in the present study. 95% Confidence Intervals (95% CI) and Kappa index values are indicated.
| |
Plasmodium spp. |
Filariae |
| |
Values (%) |
95% CI |
Values (%) |
95% CI |
| Sensibility |
100 |
94.0–100 |
93.9 |
80.4–98.3 |
| Specificity |
100 |
81.6–100 |
100 |
81.6–100 |
| PPV |
100 |
94.0–100 |
100 |
89.0–100 |
| NPV |
100 |
81.6–100 |
89.5 |
68.6–97.1 |
| Kappa index |
1.00 |
1.00–1.00 |
0.91 |
0.80–1.03 |
Table 7.
Comparison of the diagnostic performance of the RT-PCR-bp and the reference PCR methods for the detection of blood parasites in faecal DNA samples (n = 58).
Table 7.
Comparison of the diagnostic performance of the RT-PCR-bp and the reference PCR methods for the detection of blood parasites in faecal DNA samples (n = 58).
| |
Plasmodium spp. |
Trypanosomatidae |
Filariae |
Coinfected |
Total infected |
| RT-PCR-bp n (%) |
12 (21) |
17 (29) |
14 (24) |
9 (16) |
34 (58) |
| Reference PCR method n (%) |
2 (3.4) |
16 (27.6) |
9 (15.5) |
3 (5.2) |
27 (46.5) |
Table 8.
Estimated turnaround time to complete the process—from sample processing to the provision of results.
Table 8.
Estimated turnaround time to complete the process—from sample processing to the provision of results.
| |
RT-PCR-bp |
SnM-PCR |
nFil-PCR |
RT-PCR-Tryp |
| Sample Processing |
1h |
1h |
1h |
1h |
| First PCR setup |
30 min |
30 min |
30 min |
30 min |
| First PCR amplification |
1h 30min |
2h |
2h |
1h 30min |
| Second PCR setup |
- |
30 min |
30 min |
- |
| Second PCR amplification |
- |
1h 15min |
1h 15min |
- |
| Electrophoresis |
- |
30 min |
30 min |
- |
| Results analysis |
30 min |
15 min |
15 min |
30 min |
| Total |
3h 30min |
6h |
6h |
3h 30min |
|
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