ArticleTrends in parasitology2015
Targeting sterol metabolism for the development of antileishmanials.
Article in Trends in parasitology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Review
- Unravelling the myth surrounding sterol biosynthesis as plausible target for drug design against leishmaniasis.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021Review
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membrane sterol profiles differ between humans and Leishmania parasites, and the sterol pathway has been investigated for potential therapeutic targets. Recently, mutants of the C14α-sterol demethylase in Leishmania major were found to have several major alterations such as increased membrane fluidity, hypersensitivity to heat stress, and severe reduction of virulence.
Indexed as
Identifiers
25498194What OpenQuestion holds
Registered trials
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.