Evidence map›Paper›PMID 37626358›Full record

ArticleBMC veterinary research2023

Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle in Central Inner Mongolia, Northern China.

Li Zhao, Hai-Liang Chai, Ming-Yuan Wang, Zhan-Sheng Zhang, Wen-Xiong Han, Bo Yang, Yan Wang, Shan Zhang, Wei-Hong Zhao, Yi-Min Ma and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Development of Multiplex Real-Time Quantitative PCR for the Detection ofAnimals : an open access journal from MDPI · 2026
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  6. Molecular Epidemiological Survey ofAnimals : an open access journal from MDPI · 2025
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  8. Investigation of Infection ofVeterinary sciences · 2025
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  10. First nationwide investigation ofCurrent research in parasitology & vector-borne diseases · 2025
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  11. Prevalence and molecular characterization ofFrontiers in veterinary science · 2025
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  12. Current research in parasitology & vector-borne diseases · 2025
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  13. Current research in parasitology & vector-borne diseases · 2025
    Review
  14. Article
  15. Article
  16. Animals : an open access journal from MDPI · 2024
    Article
  17. Molecular characterization and zoonotic risk assessment ofOne health (Amsterdam, Netherlands) · 2024
    Article
  18. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2024
    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

15 authors at 2 institutions in 2 countries.

Li Zhao *College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.ORCID https://orcid.org/0000-0001-8538-5605
Hai-Liang Chai *College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Ming-Yuan Wang *College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Zhan-Sheng ZhangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Wen-Xiong HanInner Mongolia Saikexing Reproductive Biotechnology (Group) Co.,Ltd, Hohhot, China.
Bo YangAnimal Disease Control Center of Ordos, Ordos, China.
Yan WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Shan ZhangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Wei-Hong ZhaoCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yi-Min MaCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yong-Jie ZhanCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Li-Feng WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yu-Lin DingCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Jin-Ling WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yong-Hong LiuCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China. lyhdky@126.com.ORCID http://orcid.org/0000-0003-4432-9433
Inner Mongolia Agricultural University · CNChina Animal Disease Control Center · CN

Funding

Inner Mongolia Agricultural University High-level Talents Research Initiation Fund Project NDYB2019-3National Natural Science Foundation of China 32260887National Natural Science Foundation of Inner Mongolia 2022MS03023Supported by State Key Laboratory of Veterinary Biotechnology Foundation SKLVBF202204
6 · The paper itself

Abstract

backgroundCryptosporidium is a gastrointestinal protozoan that widely exists in nature, it is an established zoonotic pathogen. Infected cattle are considered to be associated with cryptosporidiosis outbreaks in humans. In the present study, we aimed to assess the prevalence and species distribution of Cryptosporidium in dairy cattle in Central Inner Mongolia.

methodsWe focused on the small subunit ribosomal RNA gene (SSU rRNA) of Cryptosporidium and 60-kDa glycoprotein gene (gp60) of Cryptosporidium parvum. We collected 505 dairy cattle manure samples from 6 sampling sites in Inner Mongolia in 2021; the samples were divided into 4 groups based on age. DNA extraction, polymerase chain reaction (PCR), sequence analysis, and restriction fragment length polymorphism (RFLP) using SspI and MboII restriction endonucleases were performed. RFLP analysis was performed to determine the prevalence and species distribution of Cryptosporidium.

resultsSSU rRNA PCR revealed that the overall prevalence of Cryptosporidium infection was 29.90% (151/505), with a prevalence of 37.67% (55/146) and 26.74% (96/359) in diarrheal and nondiarrheal samples, respectively; these differences were significant. The overall prevalence of Cryptosporidium infection at the 6 sampling sites ranged from 0 to 47.06% and that among the 4 age groups ranged from 18.50 to 43.81%. SSU rRNA sequence analysis and RFLP analysis revealed the presence of 4 Cryptosporidium species, namely, C. bovis (44.37%), C. andersoni (35.10%), C. ryanae (21.85%), and C. parvum (11.92%), along with a mixed infection involving two or three Cryptosporidium species. Cryptosporidium bovis or C. andersoni was the most common cause of infection in the four age groups. The subtype of C. parvum was successfully identified as IIdA via gp60 analysis; all isolates were identified as the subtype IIdA19G1.

conclusionsTo the best of our knowledge, this is the first report of dairy cattle infected with four Cryptosporidium species in Inner Mongolia, China, along with a mixed infection involving two or three Cryptosporidium species, with C. bovis and C. andersoni as the dominant species. Moreover, this is the first study to identify C. parvum subtype IIdA19G1 in cattle in Inner Mongolia. Our study findings provide detailed information on molecular epidemiological investigation of bovine cryptosporidiosis in Inner Mongolia, suggesting that dairy cattle in this region are at risk of transmitting cryptosporidiosis to humans.

Indexed as

Cattle DiseasesCoinfectionCryptosporidiosisCryptosporidiumAnimalsCattleChinaHumansPrevalenceRNA, RibosomalRNA, RibosomalChinaCryptosporidiumMolecular characterizationPrevalence

Identifiers

PMID37626358
PMCPMC10464073
OpenAlexW4386167664

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.