Evidence map›Paper›PMID 35739900›Full record

ArticleAnimals : an open access journal from MDPI2022

The Microbiota and Cytokines Correlation between the Jejunum and Colon in Altay Sheep.

Mengjun Ye, Meng Hou, Qimin Peng, Sheng Jia, Bin Peng, Fangfang Yin, Na Li, Jinquan Wang

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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.

Mengjun YeCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-7329-399X
Meng HouCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Qimin PengCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Sheng JiaCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Bin PengCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Fangfang YinCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Na LiCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.
Jinquan WangCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0002-2114-4746
Xinjiang Agricultural University · CN

Funding

National Natural Science Foundation of China 32160823 31460646Postgraduate research and innovation projects of Xinjiang XJ2021G179Postgraduate research and innovation projects of Xinjiang Agricultural University XJAUGRI2021006
6 · The paper itself

Abstract

Both the jejunum and colon release cytokines that interact with intestinal microbiota. However, it is largely unclear which cytokines and microbial populations are involved in the homeostasis of the intestinal ecosystem for sheep health. To address this, we collected contents for isolating microbiota and tissues for determining cytokines from the jejunum and colon of 7-month-old Altay sheep. We used the techniques of 16S rRNA sequencing and ELISA to detect microbial population and cytokine level, respectively. Correlations between microbial population and cytokines were analyzed by Spearman correlation coefficient. The correlation analysis revealed higher populations of

Indexed as

Altay sheepcoloncytokinesjejunummicrobiota

Identifiers

PMID35739900
PMCPMC9219508
OpenAlexW4283021769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.