Evidence map›Paper›PMID 38282742›Full record

ArticleFrontiers in microbiology2023

Metabolic changes before and after weaning in Dezhou donkey foals in relation to gut microbiota.

Qiwen Yang, Haibing Liu, Halima Jafari, Bing Liu, Zhaofei Wang, Jiangtian Su, Fuwen Wang, Ge Yang, Minhao Sun, Jie Cheng and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Dynamic Changes in the Gut Microbiota During Peripartum in Jennies.Animals : an open access journal from MDPI · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. Exploring the Effect of GastrointestinalAnimals : an open access journal from MDPI · 2024
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Qiwen Yang *National Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Haibing Liu *National Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Halima JafariKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Bing LiuNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Zhaofei WangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Jiangtian SuKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Fuwen WangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Ge YangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Minhao SunKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, Shaanxi, China.
Jie ChengNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Boying DongNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Min LiNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Mingjian GenNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.
Jie YuNational Engineering Research Center for Gelatin-Based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Dong'e County, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weaning is undoubtedly one of the most crucial stages in the growth and development of all mammalian animals, including donkey foals. Weaning is a dynamic and coordinated process of the body, which is closely associated with the health, nutrition, and metabolism of the host. Many studies have shown that the intestinal microbiota and serum metabolites of mammals exhibit different changes during lactation, weaning, and postweaning. However, the alterations in serum metabolites in donkey foals before and postweaning and the correlation between serum metabolites and intestinal microbiota are largely unknown. This study is based on the fecal 16S rRNA and serum metabolomes of Dezhou donkey foals. In total, 10 samples (fecal and serum) were collected during the following three stages: before weaning (F.M.1), during weaning (F.M.3), and postweaning (F.M.6). To study the alterations in intestinal microflora, serum metabolites, and their correlation before and postweaning. We found that with the growth and weaning progress of donkey foals, the intestinal microbiota of donkey foals underwent obvious changes, and the diversity of fecal bacteria increased (Chao1 and Shannon indexes). The main intestinal microbial flora of donkey foals include Bacteroides and Firmicutes. We found many microbiota that are associated with immunity and digestion in the postweaning group, such as

Indexed as

donkey foalgut microbesmetabolomeserumweaning

Identifiers

PMID38282742
PMCPMC10812615

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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.