Evidence map›Paper›PMID 32576195›Full record

ArticleBMC veterinary research2020

Enterocytozoon bieneusi in donkeys from Xinjiang, China: prevalence, molecular characterization and the assessment of zoonotic risk.

Aiyun Zhao, Ying Zhang, Wen Wang, Bo Jing, Jinming Xing, Dayong Tao, Wei Zhao, Meng Qi

Abstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Aiyun ZhaoCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Ying ZhangCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Wen WangCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Bo JingCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Jinming XingCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Dayong TaoCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China.
Wei ZhaoDepartment of Parasitology, Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China. hayidazhaowei@163.com.
Meng QiCollege of Animal Science, Tarim University, Tarim Road 1487, Alar, 843300, Xinjiang, China. qimengdz@163.com.ORCID http://orcid.org/0000-0003-4662-0398

Funding

National Natural Science Foundation of China 31660712National Natural Science Foundation of China 31860699
6 · The paper itself

Abstract

backgroundEnterocytozoon bieneusi, a zoonotic pathogen, has the potential to infect both immunocompromised and immunocompetent humans. It is found in large number of animals; however, not much is known regarding its prevalence in equine animals, particularly donkeys. This is the first molecular epidemiological evaluation of E. bieneusi in 178 free-ranging donkeys from five countrysides; and 502 farmed donkeys from 18 farms in 12 cities of Xinjiang, China by Nested PCR.

resultsE. bieneusi was detected in 2.5% (17/680) donkeys, with 2.6% (13/502) in farmed and 2.2% (4/178) in free-ranging ones. Sequence analysis identified eight ITS genotypes, all belonging to zoonotic Groups 1 or 2, including six known genotypes: horse1 (n = 5), D (n = 3), NCD-2 (n = 3), BEB6 (n = 2), BEB4 (n = 1), and NIAI (n = 1); and two new genotypes: XJD1 (n = 1) and XJD2 (n = 1).

conclusionsThis is the first report confirming the presence of E. bieneusi in donkeys in Xinjiang, China, and indicates the possibility of zoonotic transmission of this pathogenic parasite.

Indexed as

AnimalsChinaDNA, FungalEnterocytozoonEquidaeFecesGenotypeMicrosporidiosisPolymerase Chain ReactionPrevalenceSequence Analysis, DNAZoonosesDNA, FungalDonkeyEnterocytozoon bieneusiGenotypeITS regionZoonotic

Identifiers

PMID32576195
PMCPMC7313214

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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.