Evidence map›Paper›PMID 30426744›Full record

ArticleACS sensors2018

Impedance-Based Microfluidic Assay for Automated Antischistosomal Drug Screening.

Ketki Chawla, Mario M Modena, Paolo S Ravaynia, Flavio C Lombardo, Martin Leonhardt, Gordana Panic, Sebastian C Bürgel, Jennifer Keiser, Andreas Hierlemann

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Microfluidic-AssistedCyborg and bionic systems (Washington, D.C.) · 2023
    Article
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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 2 institutions in 1 country.

Ketki ChawlaBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.ORCID 0000-0003-3222-2428
Mario M ModenaBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.ORCID 0000-0002-4218-0404
Paolo S RavayniaBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.
Flavio C LombardoDepartment of Medical Parasitology and Infection Biology , Swiss Tropical and Public Health Institute , Basel , Switzerland.
Martin LeonhardtBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.
Gordana PanicDepartment of Medical Parasitology and Infection Biology , Swiss Tropical and Public Health Institute , Basel , Switzerland.
Sebastian C BürgelBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.ORCID 0000-0002-5088-3636
Jennifer KeiserDepartment of Medical Parasitology and Infection Biology , Swiss Tropical and Public Health Institute , Basel , Switzerland.ORCID 0000-0003-0290-3521
Andreas HierlemannBio Engineering Laboratory, Dept. of Biosystems Science and Engineering , ETH Zurich , Basel , Switzerland.
ETH Zurich · CHSwiss Tropical and Public Health Institute · CH

Funding

European Research Council 694829Swiss National Science Foundation 166329
6 · The paper itself

Abstract

Schistosomiasis is a neglected tropical disease, caused by parasitic worms, which affects almost 200 million people worldwide. For over 40 years, chemotherapeutic treatment has relied on the administration of praziquantel, an efficacious drug against schistosomiasis. However, concerns about developing drug resistance require the discovery of novel drug compounds. Currently, the drug-screening process is mostly based on the visual evaluation of drug effects on worm larvae in vitro by a trained operator. This manual process is extremely labor-intensive, has limited throughput, and may be affected by subjectivity of the operator evaluation. In this paper, we introduce a microfluidic platform with integrated electrodes for the automated detection of worm larvae viability using an impedance-based approach. The microfluidic analysis unit consists of two sets of electrodes and a channel of variable geometry to enable counting and size detection of single parasite larvae and the collective evaluation of the motility of the larvae as an unbiased estimator for their viability. The current platform also allows for multiplexing of the analysis units resulting in increased throughput. We used our platform to record size and motility variations of Schistosoma mansoni larvae exposed to different concentrations of mefloquine, a drug with established in vitro antischistosomal properties. The developed platform demonstrates the potential of integrated microfluidic platforms for high-throughput antischistosomal drug screening.

Indexed as

Electric ImpedanceAnimalsDimethyl SulfoxideDose-Response Relationship, DrugDrug Evaluation, PreclinicalElectrochemical TechniquesElectrodesEquipment DesignMefloquineMicrofluidic Analytical TechniquesParasitic Sensitivity TestsSchistosoma mansoniSchistosomicidesDimethyl SulfoxideMefloquineSchistosomicidesdrug-screeningelectrical impedance spectroscopymicrofluidicsSchistosoma mansonischistosomiasis

Identifiers

PMID30426744
PMCPMC6396876
OpenAlexW2900576118

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.