| Literature DB >> 19156191 |
Rebecca J Traub1, Julie Macaranas, Mathirut Mungthin, Saovanee Leelayoova, Thomas Cribb, K Darwin Murrell, R C Andrew Thompson.
Abstract
Differentiation of the fish-borne trematodes belonging to the Opisthorchiidae, Heterophyidae and Lecithodendriidae is important from a clinical and epidemiological perspective, yet it is impossible to do using conventional coprological techniques, as the eggs are morphologically similar. Epidemiological investigation therefore currently relies on morphological examination of adult worms following expulsion chemotherapy. A PCR test capable of amplifying a segment of the internal transcribed spacer region of ribosomal DNA for the opisthorchiid and heterophyid flukes eggs taken directly from faeces was developed and evaluated in a rural community in central Thailand. The lowest quantity of DNA that could be amplified from individual adults of Opisthorchis viverrini, Clonorchis sinensis and Haplorchis taichui was estimated at 0.6 pg, 0.8 pg and 3 pg, respectively. The PCR was capable of detecting mixed infection with the aforementioned species of flukes under experimental conditions. A total of 11.6% of individuals in rural communities in Sanamchaikaet district, central Thailand, were positive for 'Opisthorchis-like' eggs in their faeces using conventional parasitological detection techniques. In comparison to microscopy, the PCR yielded a sensitivity and specificity of 71.0% and 76.7%, respectively. Analysis of the microscopy-positive PCR products revealed 64% and 23% of individuals to be infected with O. viverrini and C. sinensis, respectively. The remaining 13% (three individuals) were identified as eggs of Didymozoidae, presumably being passed mechanically in the faeces following the ingestion of infected fishes. An immediate finding of this study is the identification and first report of a C. sinensis-endemic community in central Thailand. This extends the known range of this liver fluke in Southeast Asia. The PCR developed herein provides an important tool for the specific identification of liver and intestinal fluke species for future epidemiological surveys.Entities:
Mesh:
Substances:
Year: 2009 PMID: 19156191 PMCID: PMC2614470 DOI: 10.1371/journal.pntd.0000367
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Species identification of H. taichui, O. viverrini and C. sinensis using PCR and PCR-RFLP analysis.
Panel A displays PCR products of RTFlukeFa and RTFlukeRa run on a 1.5% agarose gel. From left to right, lanes 1–5 show products of artificially mixed C. sinensis (7.6 ng) and H. taichui (7.0 ng) DNA in ratios of 1∶1, 2∶1, 3∶1, 1∶2 and 1∶3 respectively, lane 6 shows a 100 base pair DNA ladder. Panel B displays PCR products of RTFlukeFa and RTFlukeRa run on a 1.5% agarose gel. From left to right, lanes 1–5 show products of artificially missed O. viverrini (6.0 ng) and H. taichui (7.0 ng) DNA in ratios of 1∶1, 1∶2, 1∶3, 2∶1 and 3∶1 respectively, lane 6 displays a negative control and lane 7 shows a 100 base pair DNA ladder. Panel C displays PCR and PCR-RFLP products of RTFlukeFa and RTFlukeRa run on a 2.0% agarose gel. Lanes 1 and 8 display a 100 base pair ladder. Lanes 2 and 3 show amplified products of O. viverrini eggs in faeces, undigested and digested products respectively, lanes 4 and 5 show amplified products of C. sinensis eggs in faeces, undigested and digested products respectively and lanes 6 and 7 show artificially mixed infections of O. viverrini and C. sinensis egg-positive faeces undigested and digested products respectively.
Figure 2A flow diagram illustrating the study design and summary of diagnostic test results.
Summary of PCR and microscopy results for the detection of liver and intestinal flukes.
| Microscopy positive | Microscopy negative | Total | |
| PCR positive | 22 | 7 | 29 |
| PCR negative | 9 | 23 | 32 |
| Total | 31 | 30 | 61 |
Figure 3Phenogram construction of the ITS-2 region of the opisthorchid and heterophyid flukes isolated from humans in this study (denoted by their individual code), the adult positive controls and GenBank using the neighbour-joining algorithm and maximum parsimony.