Evidence map›Paper›PMID 30961652›Full record

ArticleParasites & vectors2019

Diagnosis of feline filariasis assisted by a novel semi-automated microfluidic device in combination with high resolution melting real-time PCR.

Achinya Phuakrod, Witsaroot Sripumkhai, Wutthinan Jeamsaksiri, Pattaraluck Pattamang, Ekachai Juntasaro, Therdthai Thienthong, Suporn Foongladda, Paul J Brindley, Sirichit Wongkamchai

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Achinya PhuakrodDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Witsaroot SripumkhaiThai Microelectronic Center, National Electronics and Computer Technology Center, Thailand Science Park, Pathumthani, Thailand.
Wutthinan JeamsaksiriThai Microelectronic Center, National Electronics and Computer Technology Center, Thailand Science Park, Pathumthani, Thailand.
Pattaraluck PattamangThai Microelectronic Center, National Electronics and Computer Technology Center, Thailand Science Park, Pathumthani, Thailand.
Ekachai JuntasaroDepartment of Mechanical and Process Engineering, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.
Therdthai ThienthongDepartment of Mechanical and Process Engineering, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.
Suporn FoongladdaDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Paul J BrindleyDepartment of Microbiology, Immunology & Tropical Medicine & Research Center for Neglected Diseases of Poverty, School of Medicine & Health Sciences, George Washington University, Washington, DC, USA.
Sirichit WongkamchaiDepartment of Parasitology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. sirichit.won@mahidol.ac.th.
National Electronics and Computer Technology Center · THSiriraj Hospital · THKing Mongkut's University of Technology North Bangkok · THGeorge Washington University · US

Funding

Faculty of Medicine Siriraj Hospital MAhidol University RO 15936006National Science and Technology Development Agency, Ministry of Science and Technology, Thailand P1551260National Science and Technology Development Agency, Ministry of Science and Technology, Thailand RO15936006
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe efficiency and repeatability of the microfluidic device was evaluated. Human EDTA blood samples were 'spiked' with B. malayi mf at high, moderate, and low levels, and subsequently tested 10 times. The device was also used for a field survey of feline filariasis in 383 domesticated cats in an area of Narathiwat Province, Thailand, the endemic area of Brugia malayi infection.

resultsIn the control blood arbitrarily spiked with mf, the high level, moderate level and low level mf-positive controls yielded coefficient variation (CV) values of 4.44, 4.16 and 4.66%, respectively, at the optimized flow rate of 6 µl/min. During the field survey of feline filariasis in Narathiwat Province, the device detected mf in the blood of 34 of 383 cats (8.9%) whereas mf were detected in 28 (7.3%) cats using the blood smear test. Genomic DNA was extracted from mf trapped in the device after which high-resolution melting (HRM) real-time PCR assay was carried out, which enabled the simultaneous diagnosis of filarial species. Among the 34 mf-positive samples, 12 were identified as B. malayi, 15 as Dirofilaria immitis and 7 as| D. repens.

conclusionsWe developed a semi-automated microfluidic device to detect mf of filarial parasites that could be used to diagnose lymphatic filariasis in human populations. This novel device facilitates rapid, higher-throughput detection and identification of infection with filariae in blood samples.

Indexed as

AnimalsAutomation, LaboratoryCat DiseasesCatsFilariasisMicrofluidic Analytical TechniquesReal-Time Polymerase Chain ReactionReproducibility of ResultsDetection of microfilariae in bloodFilariasisHRM real-time PCRMicrofluidics

Identifiers

PMID30961652
PMCPMC6454708
OpenAlexW2943780513

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.