Evidence map›Paper›PMID 34331476›Full record

ArticleJournal of veterinary internal medicine2021

Transport stress affects the fecal microbiota in healthy donkeys.

Guimiao Jiang, Xinhao Zhang, Weiping Gao, Chuanliang Ji, Yantao Wang, Peixiang Feng, Yulong Feng, Zhiping Zhang, Lin Li, Fuwei Zhao

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Welfare of equidae during transport.EFSA journal. European Food Safety Authority · 2022
    Article
  9. Article
  10. Transport stress affects the fecal microbiota in healthy donkeys.Journal of veterinary internal medicine · 2021
    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

10 authors at 3 institutions in 1 country.

Guimiao JiangKey Laboratory of Zoonosis of Liaoning Province, College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Xinhao ZhangNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Weiping GaoNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Chuanliang JiNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Yantao WangNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Peixiang FengNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Yulong FengNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.
Zhiping ZhangThe College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Lin LiKey Laboratory of Zoonosis of Liaoning Province, College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Fuwei ZhaoNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, Liaocheng, Shandong Province, China.ORCID https://orcid.org/0000-0002-1431-3441
Liaocheng University · CNShenyang Agricultural University · CNHenan Agricultural University · CN

Funding

Agriculture Improved Varieties Project of Shandong Province, China 2017LZGC020National Key Research and Development Project, China 2018YFD0502205
6 · The paper itself

Abstract

backgroundWith the development of large-scale donkey farming in China, long-distance transportation has become common practice, and the incidence of intestinal diseases after transportation has increased. The intestinal microbiota is important in health and disease, and whether or not transportation disturbs the intestinal microbiota in donkeys has not been investigated.

objectivesTo determine the effects of transportation on the fecal microbiota of healthy donkeys using 16S rRNA sequencing. ANIMALS: Fecal and blood samples were collected from 12 Dezhou donkeys before and after transportation.

methodsProspective controlled study. Cortisol, ACTH, and heat-shock protein 90 (HSP90) concentrations were measured. Sequencing of 16S rRNA was used to assess the microbial composition. Alpha diversity and beta diversity were assessed.

resultsResults showed significant (P < .05) increases in cortisol (58.1 ± 14.6 to 71.1 ± 9.60 ng/mL), ACTH (163.8 ± 31.9 to 315.8 ± 27.9 pg/mL), and HSP90 (10.8 ± 1.67 to 14.6 ± 1.75 ng/mL) on the day of arrival. A significantly lower (P = .04) level of bacterial richness was found in fecal samples after transportation, compared with that before transportation without distinct changes in diversity. Most notably, donkeys had significant decreases in Atopostipes, Eubacterium, Streptococcus, and Coriobacteriaceae. CONCLUSIONS AND CLINICAL IMPORTANCE: Transportation can induce stress in healthy donkeys and have some effect on the composition of the in fecal microbiota. Additional studies are required to understand the potential effect of these microbiota changes, especially significantly decreased bacteria, on the development intestinal diseases in donkeys during recovery from transportation.

Indexed as

EquidaeMicrobiotaAnimalsFecesProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16Sdonkeyfecal microbiotahormonal changestransport stress

Identifiers

PMID34331476
PMCPMC8478045
OpenAlexW3184831527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.