Evidence map›Paper›PMID 38341563›Full record

ArticleBMC veterinary research2024

Molecular epidemiology of Enterocytozoon bieneusi from foxes and raccoon dogs in the Henan and Hebei provinces in China.

Minghui Chen, Haidong Wang, Xinmiao Li, Yunan Guo, Ying Lu, Liping Zheng, Guoqing Liang, Yuzhen Sui, Bukang Wang, Hongyu Dai and 2 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Molecular Detection ofVeterinary sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. First report ofFrontiers in veterinary science · 2025
    Article
  7. Article
  8. Article
  9. 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

12 authors.

Minghui Chen *College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Haidong Wang *College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Xinmiao Li *College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Yunan GuoCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Ying LuCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Liping ZhengCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Guoqing LiangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Yuzhen SuiCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Bukang WangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Hongyu DaiCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China. hongyud@henau.edu.cn.
Haiju DongCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China. dongju0528@163.com.
Longxian ZhangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450046, China. zhanglx8999@henau.edu.cn.

Funding

National Natural Science Foundation of China 2018GGJS031Project of Tackling Key Problems in Science and Technology of Henan Province 92102110079the Natural Science Foundation of China 31402187
6 · The paper itself

Abstract

backgroundEnterocytozoon bieneusi is a zoonotic pathogen widely distributed in animals and humans. It can cause diarrhea and even death in immunocompromised hosts. Approximately 800 internal transcribed spacer (ITS) genotypes have been identified in E. bieneusi. Farmed foxes and raccoon dogs are closely associated to humans and might be the reservoir of E. bieneusi which is known to have zoonotic potential. However, there are only a few studies about E. bieneusi genotype identification and epidemiological survey in foxes and raccoon dogs in Henan and Hebei province. Thus, the present study investigated the infection rates and genotypes of E. bieneusi in farmed foxes and raccoon dogs in the Henan and Hebei provinces.

resultA total of 704 and 884 fecal specimens were collected from foxes and raccoon dogs, respectively. Nested PCR was conducted based on ITS of ribosomal RNA (rRNA), and then multilocus sequence typing (MLST) was conducted to analyze the genotypes. The result showed that infection rates of E. bieneusi in foxes and raccoon dogs were 18.32% and 5.54%, respectively. Ten E. bieneusi genotypes with zoonotic potential (NCF2, NCF3, D, EbpC, CHN-DC1, SCF2, CHN-F1, Type IV, BEB4, and BEB6) were identified in foxes and raccoon dogs. Totally 178 ITS-positive DNA specimens were identified from foxes and raccoon dogs and these specimens were then subjected to MLST analysis. In the MLST analysis, 12, 2, 7 and 8 genotypes were identified in at the mini-/ micro-satellite loci MS1, MS3, MS4 and MS7, respectively. A total of 14 multilocus genotypes were generated using ClustalX 2.1 software. Overall, the present study evaluated the infection of E. bieneusi in foxes and raccoon dogs in the Henan and Hebei province, and investigated the zoonotic potential of the E. bieneusi in foxes and raccoon dogs.

conclusionsThese findings expand the geographic distribution information of E. bieneusi' host in China and was helpful in preventing against the infection of E. bieneusi with zoonotic potential in foxes and raccoon dogs.

Indexed as

EnterocytozoonMicrosporidiosisAnimalsChinaFecesFoxesGenotypeHumansMolecular EpidemiologyMultilocus Sequence TypingPhylogenyPrevalenceRaccoon DogsEnterocytozoon BieneusiFoxesGenotypesMultilocus analysisRaccoon dogs

Identifiers

PMID38341563
PMCPMC10858577

What OpenQuestion holds

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LicenceCC BY
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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.