Evidence map›Paper›PMID 30893302›Full record

ArticlePLoS neglected tropical diseases2019

A protocol to count Cryptosporidium oocysts by flow cytometry without antibody staining.

Karine Sonzogni-Desautels, Thomas Z Di Lenardo, Axel E Renteria, Marc-André Gascon, Timothy G Geary, Momar Ndao

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Diagnosis and control of cryptosporidiosis in farm animals.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Review
  4. 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

6 authors at 2 institutions in 1 country.

Karine Sonzogni-DesautelsNational Reference Centre for Parasitology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Thomas Z Di LenardoProgram in Infectious Diseases and Immunity in Global Health, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Axel E RenteriaNational Reference Centre for Parasitology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Marc-André GasconNational Reference Centre for Parasitology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Timothy G GearyInstitute of Parasitology, McGill University, Ste Anne de Bellevue, QC, Canada.
Momar NdaoNational Reference Centre for Parasitology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID 0000-0002-9012-4212
McGill University Health Centre · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidiosis caused by the protozoan parasites Cryptosporidium hominis and C. parvum, threatens the lives of young children in developing countries. In veterinary medicine, C. parvum causes life-threatening diarrhea and dehydration in newborn dairy calves. Protocols to detect Cryptosporidium spp. oocysts using flow cytometry have been reported; however, these protocols use antibodies against the parasite and typically focus on detection of oocysts, not quantification. These techniques are not well-suited for studies that generate large variations in oocyst burdens because the amount of antibody required is proportional to the number of oocysts expected in samples. Also, oocysts are lost in washes in the staining protocol, reducing accuracy of oocyst counts. Moreover, these protocols require costly fluorochrome-conjugated monoclonal antibodies and are not optimal for studies involving large numbers of samples. Here we present an optimized protocol for purifying oocysts from mouse stool and intestine samples combined with a reliable method to quantify oocysts in a relatively pure population without the need for antibody staining. We used morphology (SSC-A vs FSC-A) and the innate characteristics of C. parvum oocysts compared to fecal and intestinal contaminants to develop a two-step gating strategy that can differentiate oocysts from debris. This method is a fast, reliable, and high-throughput technique to promote research projects on C. parvum infections in mice and potentially other animal hosts.

Indexed as

AnimalsCryptosporidiosisCryptosporidiumDisease Models, AnimalFecesFlow CytometryMice, Inbred C57BLOocystsParasite Load

Identifiers

PMID30893302
PMCPMC6443187
OpenAlexW2923697735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.