Evidence map›Paper›PMID 25056575›Full record

ArticleThe Journal of veterinary medical science2014

Establishment of ATP-based luciferase viability assay in 96-well plate for Trypanosoma congolense.

Keisuke Suganuma, Puttik Allamanda, Hassan Hakimi, Mo Zhou, Jose Ma Angeles, Shin-ichiro Kawazu, Noboru Inoue

Open access · hybridAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 30 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

7 authors at 2 institutions in 1 country.

Keisuke SuganumaNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
Puttik Allamanda
Hassan Hakimi
Mo Zhou
Jose Ma Angeles
Shin-ichiro Kawazu
Noboru Inoue
Obihiro University of Agriculture and Veterinary Medicine · JPNagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal African trypanosomosis (AAT), caused by Trypanosoma congolense, is widespread throughout sub-Saharan Africa. There are significant concerns related to the current drugs available for the treatment of AAT due to their limited effectiveness across species and their adverse effects. Moreover, drug resistant trypanosomes have recently been reported in the field. High throughput screening (HTS) of large chemical compound library collections is a promising approach for identifying novel drug candidates. While HTS for Trypanozoon trypanosomes, T. brucei sspp. and T. evansi is well established, no assays have been developed for T. congolense. In the present study, the authors developed an ATP-based luciferase viability assay for T. congolense in a 96-well plate format. The calculated 50% inhibitory concentration (IC50) values for pentamidine and diminazene were 10-100 times higher in T. congolense than in T. brucei. This result suggests that the transporters for the 2 tested compounds differ between T. congolense and T. brucei. This assay could further be applied to screen novel chemical compounds for the treatment of AAT caused by T. congolense.

Indexed as

LuciferasesAdenosine TriphosphateAnimalsCell DivisionDimethyl SulfoxideDiminazeneHigh-Throughput Screening AssaysInhibitory Concentration 50PentamidineSpecies SpecificityTime FactorsTrypanosoma congolenseTrypanosomiasis, AfricanAdenosine TriphosphateDimethyl SulfoxideDiminazeneLuciferasesPentamidine

Identifiers

PMID25056575
PMCPMC4272975
OpenAlexW2092113484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.