| Literature DB >> 30961652 |
Achinya Phuakrod1, Witsaroot Sripumkhai2, Wutthinan Jeamsaksiri2, Pattaraluck Pattamang2, Ekachai Juntasaro3, Therdthai Thienthong3, Suporn Foongladda1, Paul J Brindley4, Sirichit Wongkamchai5.
Abstract
BACKGROUND: The diagnosis of filariasis traditionally relies on the detection of circulating microfilariae (mf) using Giemsa-stained thick blood smears. This approach has several limitations. We developed a semi-automated microfluidic device to improve and simplify the detection of filarial nematodes.Entities:
Keywords: Detection of microfilariae in blood; Filariasis; HRM real-time PCR; Microfluidics
Mesh:
Year: 2019 PMID: 30961652 PMCID: PMC6454708 DOI: 10.1186/s13071-019-3421-z
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Map of Narathiwat Province, Thailand showing the study areas and brugian filariasis endemic areas
Fig. 2The microfluidic device for detection for diagnosis of the microfilarial stage of filarial parasites. The sample injector consists of an infusion pump with an adaptor and ten syringes with a 5 mm long blunt ended needle connected to the inlet of the microfluidic chips (1, 2, 3) using silicone tubing. a Microfluidic device. b Microfluidic chips
Fig. 3Microfluidic chip for detecting microfilariae of filarial parasites. a The chip contains four testing channels; each channel consists of four components: the inlet, rough filters, detection zone and outlet from left to right. b Photomicrograph of microfilariae of lymphatic filariae trapped in the rough filter area. c Photomicrograph of microfilariae of lymphatic filariae trapped in the detection zone of the device (10× magnification)
Fig. 4Alignment of nucleotide sequences of the partial mitochondrial 12S rRNA gene of B. malayi, B. pahangi, D. immitis and D. repens, as well as alignment of the cox1 gene of D. repens. Dots indicate identity and dashes indicate deletion from the above consensus sequence. Gray areas indicate PCR primer sequences
The efficacy and repeatability of the microfluidic device in the laboratory
| Microfilariae level/50 µl blood | Number of microfilariae | |||||||
|---|---|---|---|---|---|---|---|---|
| Intra-assay variation | Inter-assay variation | |||||||
| Trapped mf (mean ± SD) | CV (%) | Leaked mf (mean ± SD) | CV (%) | Trapped mf (mean ± SD) | CV (%) | Leaked mf (mean ± SD) | CV (%) | |
| High (mean 30) | 27.22 ± 2.94 | 10.8 | 1.25 ± 0.83 | 66.4 | 31 ± 1.22 | 4.44 | 1.61 ± 0.55 | 34.16 |
| Moderate (mean 15.5) | 15.44 ± 1.3 | 8.42 | 1.56 ± 1.2 | 76.9 | 15.6 ± 0.89 | 4.16 | 1.4 ± 0.55 | 32.49 |
| Low (mean 7.5) | 5.25 ± 0.5 | 9.38 | 0.5 ± 0.58 | 94.6 | 5.8 ± 0.45 | 4.66 | 0.4 ± 0.55 | 45.8 |
Abbreviations: CV, coefficient of variation; mf, microfilariae; SD, standard deviation
The prevalence of filarial detection in domestic cats in Narathiwat Province, Thailand by microfluidic device compared with the Giemsa staining method, showing species of the detected filariae
| Method | No. of samples (%) | Species of mf | |||
|---|---|---|---|---|---|
| Giemsa stain | Microfluidic chip |
|
| ||
| + | + | 28 (7.3) | 9 | 13 | 6 |
| − | + | 6 (1.6) | 3 | 2 | 1 |
| + | − | 0 | 0 | 0 | 0 |
| − | − | 349 (91.1) | – | – | – |
Abbreviations: mf, microfilariae
Fig. 5Melting peaks (a), normalized difference curves (b) and the normalized and temperature-shifted difference plot (c) of the amplified product of control species (B. malayi, B. pahangi and D immitis/D. repens) and S1-S11 representative DNAs from 34 mf-positive samples of cat blood and DNA from the 22 mf-positive samples using cox1 specific primers for D. repens, S1; S2; S5 represented the 22 mf-positive cat samples (d), as obtained with the LightCycler 480 gene scanning software. Abbreviations: Bm, B. malayi; Bp, B. pahangi; Di, D immitis/D. repens