Evidence map›Paper›PMID 28900722›Full record

ArticleParasitology research2017

Molecular characterization of bovine Cryptosporidium isolated from diarrheic calves in the Sudan.

Shahinaz Taha, Khitma Elmalik, Berit Bangoura, Matthias Lendner, Ehab Mossaad, Arwid Daugschies

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Article in Parasitology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Genetic diversity ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  2. Molecular analysis of cryptosporidiosis on cattle farms in Gran Canaria, Canary Islands (Spain).International journal of veterinary science and medicine · 2025
    Article
  3. Heliyon · 2024
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  4. Review
  5. Microorganisms · 2024
    Article
  6. Animals : an open access journal from MDPI · 2024
    Article
  7. Article
  8. Epidemiological and Molecular Study ofAnimals : an open access journal from MDPI · 2022
    Article
  9. Overview onJournal of tropical medicine · 2022
    Article
  10. Parasite epidemiology and control · 2021
    Article
  11. Article
  12. Article
  13. 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.

Shahinaz TahaDepartment of Preventive Medicine and Veterinary Public Health, Faculty of Veterinary Medicine, University of Khartoum, P.O. Box 32, Khartoum North, Sudan.
Khitma ElmalikDepartment of Preventive Medicine and Veterinary Public Health, Faculty of Veterinary Medicine, University of Khartoum, P.O. Box 32, Khartoum North, Sudan.
Berit BangouraInstitute of Parasitology, Leipzig University, An den Tierkliniken 35, 04103, Leipzig, Germany.
Matthias LendnerInstitute of Parasitology, Leipzig University, An den Tierkliniken 35, 04103, Leipzig, Germany.
Ehab MossaadDepartment of Pathology, Parasitology and Microbiology, College of Veterinary Medicine, Sudan University of Science and Technology, P.O. Box 204, Khartoum, Sudan.
Arwid DaugschiesInstitute of Parasitology, Leipzig University, An den Tierkliniken 35, 04103, Leipzig, Germany. daugschies@vetmed.uni-leipzig.de.ORCID http://orcid.org/0000-0003-4296-568X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidiosis is a common protozoan infection causing morbidity and mortality in young cattle and may be zoonotically transmitted to humans. So far, there is no data available on the presence of Cryptosporidium spp. in the Sudan. The aim of this study was to isolate, identify, and genotype Cryptosporidium oocysts sampled from diarrheic calves housed at different farms in three different municipalities in Khartoum State (Khartoum, Khartoum North, Omdurman). A total of 149 fecal samples were evaluated microscopically for the presence of Cryptosporidium oocysts using the modified Ziehl-Neelsen staining method and 87 (58.3%) samples tested positive. Positive and negative samples were further analyzed by nested PCR targeting the SSU rRNA region. Positive samples were subjected to restriction enzyme analysis of PCR amplicons (PCR-RFLP). Nested PCR identified Cryptosporidium DNA in 53 samples (35.5%); restriction digestion of the PCR products revealed the presence of C. parvum (73.5%), C. ryanae (13.2%), C. andersoni (7.5%), and C. bovis (1.8%). Species distribution was clearly related to age with C. parvum being the predominant species in dysenteric pre-weaned calves. Sequencing of three genes (SSU rRNA, COWP, and GP60) for three C. parvum isolates originating from the three different municipalities showed that all belong to C. parvum subtype family IId. Based on data obtained by GP60, sequencing the two C. parvum isolates from Khartoum and Omdurman represent subtype IIdA18G1, whereas oocysts isolated in Khartoum North belong to subtype IIdA19G1. The observed genotypes are zoonotic and thus C. parvum in calves is potentially a health risk to humans in Khartoum State, Sudan. To the best of our knowledge, this is the first reported attempt to characterize Cryptosporidium isolated from cattle in the Sudan.

Indexed as

AnimalsCattleCattle DiseasesCryptosporidiosisCryptosporidiumFecesGenotypeOocystsPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthRNA, RibosomalSudanWeaningRNA, RibosomalCattleCryptosporidium spp.GenotypingMolecular characterizationSudan

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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.