Evidence map›Paper›PMID 25994330›Full record

ArticleBMC microbiology2015

Molecular characterization of Cryptosporidium spp. and Giardia duodenalis from yaks in the central western region of China.

Meng Qi, Jinzhong Cai, Rongjun Wang, Junqiang Li, Fuchun Jian, Jianying Huang, Huan Zhou, Longxian Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.3field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Prevalence ofFrontiers in cellular and infection microbiology · 2021
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  6. Animals : an open access journal from MDPI · 2024
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  8. Occurrence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2022
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  10. Genetic Diversity ofPathogens (Basel, Switzerland) · 2020
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  11. Review
  12. Molecular characterization ofInternational journal for parasitology. Parasites and wildlife · 2019
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  13. Article
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  15. Article
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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 1 institution in 1 country.

Meng QiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. qimengdz@163.com.
Jinzhong CaiQinghai Academy of Veterinary Medicine and Animal Science, Xining, 810016, P. R. China. caijinz@vip.sina.com.
Rongjun WangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. wrj-1978@163.com.
Junqiang LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. lijunqiangcool@126.com.
Fuchun JianCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. jfchun2008@163.com.
Jianying HuangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. huang999369@qq.com.
Huan ZhouCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. 923762518@qq.com.
Longxian ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, P. R. China. zhanglx8999@gmail.com.
Henan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidium spp. and Giardia duodenalis are important causes of diarrheal diseases in humans and animals worldwide, and there is an increased interest in the role of animals in the mechanical transmission of these protozoa. To examine the role of yaks in this process, we examined the occurrence and genotypes of Cryptosporidium and G. duodenalis in yaks in western China.

resultsA total of 545 fecal specimens were collected from yaks from nine different counties in the central western region of China. The prevalence for Cryptosporidium spp. and G. duodenalis were 4.0 % (22/545) and 6.0 % (16/545), respectively. Mixed infections of Cryptosporidium and G. duodenalis were also detected in four specimens. The prevalence of both protozoa differed significantly between some age groups, with higher rates of infection in animals < 1 year old. Sequence analysis of the small subunit rRNA (SSU rRNA) gene of the Cryptosporidium isolates identified the species as C. parvum (n = 12), C. bovis (n = 6), C. ryanae (n = 3), and C. ubiquitum (n = 1). Genotyping based on 60-kDa glycoprotein (gp60) gene from five C. parvum isolates identified all as IId with three isolates identified as IIdA15G1, one as IIdA18G1, and one as IIdA19G1. One C. ubiquitum isolate was identified as subtype VIIa. Amongst the G. duodenalis isolates, 16 were identified as assemblage E at the SSU rRNA gene. Four novel glutamate dehydrogenase (gdh) subtypes and two triosephosphate isomerase (tpi) subtypes were found amongst the G. duodenalis assemblage E isolates.

conclusionsThe presence of C. parvum subtype IIdA15G1, IIdA18G1, and IIdA19G1 isolates further confirms the dominance of the C. parvum IId subtypes in China. These findings also indicate that yaks may be a source of zoonotic Cryptosporidium infection, and this is the first report of G. duodenalis in yaks. The data presented here provides the basis for further genotyping or subtyping studies of G. duodenalis in yaks.

Indexed as

AnimalsCattleCattle DiseasesChinaCoinfectionCryptosporidiosisCryptosporidiumFecesGenotyping TechniquesGiardia lambliaGiardiasisHumansMolecular Sequence DataProtozoan ProteinsRNA, ProtozoanRNA, RibosomalProtozoan ProteinsRNA, ProtozoanRNA, Ribosomal

Identifiers

PMID25994330
PMCPMC4438589
OpenAlexW2127372698

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.