Evidence map›Paper›PMID 24366728›Full record

ArticleAntimicrobial agents and chemotherapy2014

Validation of IMP dehydrogenase inhibitors in a mouse model of cryptosporidiosis.

Suresh Kumar Gorla, Nina N McNair, Guangyi Yang, Song Gao, Ming Hu, Venkatakrishna R Jala, Bodduluri Haribabu, Boris Striepen, Gregory D Cuny, Jan R Mead and 1 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. High-Content Screening for Cryptosporidium Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Understanding theFrontiers in parasitology · 2024
    Review
  8. Article
  9. Early immune and host cell responses toFrontiers in parasitology · 2023
    Article
  10. Article
  11. Review
  12. An update onJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Review
  13. Effect of Caging onMicroorganisms · 2022
    Article
  14. Article
  15. Systemic efficacy onParasitology · 2021
    Article
  16. Article
  17. Article
  18. Changes in the Microbiome ofMicroorganisms · 2020
    Article
  19. Article
  20. 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

11 authors at 6 institutions in 1 country.

Suresh Kumar GorlaDepartment of Biology, Brandeis University, Waltham, Massachusetts, USA.
Nina N McNair
Guangyi Yang
Song Gao
Ming Hu
Venkatakrishna R Jala
Bodduluri Haribabu
Boris Striepen
Gregory D Cuny
Jan R Mead
Lizbeth Hedstrom
University of Houston · USBrandeis University · USEmory University · USUniversity of Louisville · USBrigham and Women's Hospital · USUniversity of Georgia · US

Funding

Treatments for Nipah Virus InfectionU54AI057159 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KASPER, DENNIS L. · 2003 to 2013
$113.7M
IMPDH-targeted antibiotics for select agentsR01AI093459 · NIAID · BRANDEIS UNIVERSITY · PI HEDSTROM, LIZBETH K. · 2011 to 2015
$5.3M
Disposition of Flavonoids via Metabolic InterplayR01GM070737 · NIGMS · UNIVERSITY OF HOUSTON · PI HU, MING · 2006 to 2017
$3.7M
Development of IMPDH-Targeted Drugs against CrytosporidiumU01AI075466 · NIAID · BRANDEIS UNIVERSITY · PI HEDSTROM, LIZBETH K. · 2007 to 2010
$3.3M
NIAID NIH HHS R01 AI093459NIAID NIH HHS U01 AI075466NIAID NIH HHS U54 AI057159NIAID NIH HHS UO1 AI075466NIGMS NIH HHS R01 GM070737NIGMS NIH HHS R01GM070737
6 · The paper itself

Abstract

Cryptosporidium parasites are a major cause of diarrhea and malnutrition in the developing world, a frequent cause of waterborne disease in the developed world, and a potential bioterrorism agent. Currently, available treatment is limited, and Cryptosporidium drug discovery remains largely unsuccessful. As a result, the pharmacokinetic properties required for in vivo efficacy have not been established. We have been engaged in a Cryptosporidium drug discovery program targeting IMP dehydrogenase (CpIMPDH). Here, we report the activity of eight potent and selective inhibitors of CpIMPDH in the interleukin-12 (IL-12) knockout mouse model, which mimics acute human cryptosporidiosis. Two compounds displayed significant antiparasitic activity, validating CpIMPDH as a drug target. The best compound, P131 (250 mg/kg of body weight/day), performed equivalently to paromomycin (2,000 mg/kg/day) when administered in a single dose and better than paromomycin when administered in three daily doses. One compound, A110, appeared to promote Cryptosporidium infection. The pharmacokinetic, uptake, and permeability properties of the eight compounds were measured. P131 had the lowest systemic distribution but accumulated to high concentrations within intestinal cells. A110 had the highest systemic distribution. These observations suggest that systemic distribution is not required, and may be a liability, for in vivo antiparasitic activity. Intriguingly, A110 caused specific alterations in fecal microbiota that were not observed with P131 or vehicle alone. Such changes may explain how A110 promotes parasitemia. Collectively, these observations suggest a blueprint for the development of anticryptosporidial therapy.

Indexed as

AnimalsCaco-2 CellsCoccidiostatsCryptosporidiosisCryptosporidium parvumDisease Models, AnimalDrug DiscoveryHumansIMP DehydrogenaseInterleukin-12MiceMice, Inbred C57BLMice, KnockoutCoccidiostatsIMP DehydrogenaseInterleukin-12

Identifiers

PMID24366728
PMCPMC3957894
OpenAlexW2171207576

What OpenQuestion holds

Textmetadata
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.