Evidence map›Paper›PMID 28158186›Full record

ArticlePLoS neglected tropical diseases2017

A high-throughput phenotypic screen identifies clofazimine as a potential treatment for cryptosporidiosis.

Melissa S Love, Federico C Beasley, Rajiv S Jumani, Timothy M Wright, Arnab K Chatterjee, Christopher D Huston, Peter G Schultz, Case W McNamara

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03341767 (A Phase 2A, Randomized, Double-Blind, Placebo-Controlled Evaluation of the Safety, Tolerability, Pharmacokinetics and Efficacy of Clofazimine), which is not on this map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
12.3field-weighted citation impact, top 1% 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.

NCT03341767 phase2terminatednot on this map

A Phase 2A, Randomized, Double-Blind, Placebo-Controlled Evaluation of the Safety, Tolerability, Pharmacokinetics and Efficacy of Clofazimine (CFZ) in Cryptosporidiosis

TypeinterventionalSponsorUniversity of WashingtonRan2017 to 2019Enrolled33ConditionsCryptosporidiosisArmsClofazimine, Placebo
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 124 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. High-Content Screening for Cryptosporidium Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Efficacy of nitazoxanide, ivermectin and albendazole in treatment of cryptosporidiosis in immunosuppressed mice.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
    Article
  11. Evaluation of potential antiparasitic effect of ZnO nanoparticles on experimental cryptosporidiosis in immunosuppressed mice.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Genetic crosses within and between species ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Melissa S LoveCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
Federico C BeasleyCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
Rajiv S JumaniDepartment of Medicine, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Timothy M WrightCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
Arnab K ChatterjeeCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
Christopher D HustonDepartment of Medicine, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Peter G SchultzCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
Case W McNamaraCalifornia Institute for Biomedical Research, La Jolla, California, United States of America.
California Institute for Biomedical Research · USUniversity of Vermont · US

Funding

VERMONT IMMUNOBIOLOIGY/ INFECTIOUS DISEASES CENTERP20RR021905 · NCRR · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MATTHEWS, DWIGHT E · 2006 to 2011
$14.5M
Vermont Immunobioloigy/ Infectious Diseases CenterP20GM103496 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2012 to 2015
$8.7M
Vermont Immunology/Infectious Diseases CenterP30GM118228 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2016 to 2021
$6.8M
Novel approaches to develop a treatment for cryptosporidiosisR21AI101381 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUSTON, CHRISTOPHER D · 2013 to 2014
$419k
NCRR NIH HHS P20 RR021905NIAID NIH HHS R21 AI101381NIGMS NIH HHS P20 GM103496NIGMS NIH HHS P30 GM118228
6 · The paper itself

Abstract

Cryptosporidiosis has emerged as a leading cause of non-viral diarrhea in children under five years of age in the developing world, yet the current standard of care to treat Cryptosporidium infections, nitazoxanide, demonstrates limited and immune-dependent efficacy. Given the lack of treatments with universal efficacy, drug discovery efforts against cryptosporidiosis are necessary to find therapeutics more efficacious than the standard of care. To date, cryptosporidiosis drug discovery efforts have been limited to a few targeted mechanisms in the parasite and whole cell phenotypic screens against small, focused collections of compounds. Using a previous screen as a basis, we initiated the largest known drug discovery effort to identify novel anticryptosporidial agents. A high-content imaging assay for inhibitors of Cryptosporidium parvum proliferation within a human intestinal epithelial cell line was miniaturized and automated to enable high-throughput phenotypic screening against a large, diverse library of small molecules. A screen of 78,942 compounds identified 12 anticryptosporidial hits with sub-micromolar activity, including clofazimine, an FDA-approved drug for the treatment of leprosy, which demonstrated potent and selective in vitro activity (EC50 = 15 nM) against C. parvum. Clofazimine also displayed activity against C. hominis-the other most clinically-relevant species of Cryptosporidium. Importantly, clofazimine is known to accumulate within epithelial cells of the small intestine, the primary site of Cryptosporidium infection. In a mouse model of acute cryptosporidiosis, a once daily dosage regimen for three consecutive days or a single high dose resulted in reduction of oocyst shedding below the limit detectable by flow cytometry. Recently, a target product profile (TPP) for an anticryptosporidial compound was proposed by Huston et al. and highlights the need for a short dosing regimen (< 7 days) and formulations for children < 2 years. Clofazimine has a long history of use and has demonstrated a good safety profile for a disease that requires chronic dosing for a period of time ranging 3-36 months. These results, taken with clofazimine's status as an FDA-approved drug with over four decades of use for the treatment of leprosy, support the continued investigation of clofazimine both as a new chemical tool for understanding cryptosporidium biology and a potential new treatment of cryptosporidiosis.

Indexed as

Drug RepositioningAnimalsAntiprotozoal AgentsAutomation, LaboratoryCell LineClofazimineCryptosporidiosisCryptosporidium parvumDisease Models, AnimalDrug Evaluation, PreclinicalEpithelial CellsHigh-Throughput Screening AssaysHumansMiceTreatment OutcomeAntiprotozoal AgentsClofazimine

Identifiers

PMID28158186
PMCPMC5310922
OpenAlexW2585183443

What OpenQuestion holds

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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.