Evidence map›Paper›PMID 31450840›Full record

ArticleAnimals : an open access journal from MDPI2019

Effects of Land Transport Stress on Variations in Ruminal Microbe Diversity and Immune Functions in Different Breeds of Cattle.

Fengpeng Li, Ali Mujtaba Shah, Zhisheng Wang, Quanhui Peng, Rui Hu, Huawei Zou, Cui Tan, Xiangfei Zhang, Yupeng Liao, Yongjie Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 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

14 authors at 2 institutions in 2 countries.

Fengpeng LiKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Ali Mujtaba ShahKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Zhisheng WangKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China. wangzs@sicau.edu.cn.
Quanhui PengKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Rui HuKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Huawei ZouKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Cui TanKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Xiangfei ZhangKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Yupeng LiaoKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Yongjie WangKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Xueying WangKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Lei ZengKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Bai XueKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Lizhi WangKey Laboratory for cattle low carbon cultivation and safety production of Sichuan province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China.
Sichuan Agricultural University · CNShaheed Benazir Bhutto University · PK

Funding

National key research and development program 2017YFD0502005Supported by Sichuan Science and Technology Program 2018NZ0002Supported by Technical System of National Beef cattle / Yak Industry CARS-37
6 · The paper itself

Abstract

The intensity and specialization of beef cattle production make off-site fattening, and introduce new breeds need transportation to achieve the goals. The present study was aimed to investigate effects of land transport stress on hormones levels, microbial fermentation, microbial composition, immunity and correlation among them among Simmental Crossbred Cattle (SC), Native Yellow Cattle (NY), and Cattle Yak (CY). High-throughput sequencing was used to investigate the rumen microbial diversity. After transport stress cortisol (COR), adrenocorticotropic hormone (ACTH) and pro-inflammatory cytokines IL-6, TNF-α, and IL-1β were increased (

Indexed as

cattle breedshigh-throughput sequencingmicroorganism immunityrumen bacteriatransport stress

Identifiers

PMID31450840
PMCPMC6770003
OpenAlexW2969261508

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.