Evidence map›Paper›PMID 18796315›Full record

ArticleMolecular and biochemical parasitology2008

Identification of growth inhibiting compounds in a Giardia lamblia high-throughput screen.

Rubén Bonilla-Santiago, Zhijin Wu, Linghui Zhang, Giovanni Widmer

Abstract read
In one paragraph

Article in Molecular and biochemical parasitology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A novel in vitro image-based assay identifies new drug leads for giardiasis.International journal for parasitology. Drugs and drug resistance · 2017
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
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

4 authors.

Rubén Bonilla-SantiagoTufts Cummings School of Veterinary Medicine, 200 Westboro Road, North Grafton, MA 01536, USA.
Zhijin Wu
Linghui Zhang
Giovanni Widmer

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853
6 · The paper itself

Abstract

Giardia lamblia is one of the most common eukaryotic pathogens and is classified by the CDC as a category B agent of bioterrorism. In a departure from more traditional research focused on specific pathways or molecules, we have developed a high-throughput assay for screening libraries of small compounds for inhibitors and enhancers of trophozoite multiplication. Following a 24-h period of culture in 384-well plates in the presence of compounds, trophozoites were fixed, stained and enumerated. Quadruplicate screening of 1520 compounds from two libraries of known bioactives detected numerous inhibitory compounds. Based on a stringent cut-off of 5 standard deviations from the plate mean, 50 compounds (3.3%) were inhibitory. The activity of 3 compounds was confirmed in conventional culture. Although not meeting the threshold, one compound (indirubin) was identified as an agonist of trophozoite proliferation. Demonstrating the potential of high-throughput screening for rapidly finding new compounds which perturb G. lamblia multiplication, most of the hits identified by high-throughput screening do not appear to have been tested previously for their ability to affect G. lamblia trophozoites. High-throughput screening of bioactive compounds will open new avenues to a system-wide analysis of pathways affecting G. lamblia proliferation, and eventually to other phases of the life cycle.

Indexed as

AnimalsBiological AssayGiardia lambliaGrowth InhibitorsHematologic TestsTrophozoitesGrowth Inhibitors

Identifiers

PMID18796315
PMCPMC2597095

What OpenQuestion holds

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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.