Evidence map›Paper›PMID 34786504›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2021

Whole transcriptome analysis of RNA expression profiles reveals the potential regulating action of long noncoding RNA in lactating cows fed a high concentrate diet.

Qu Chen, Chen Wu, Zhihao Yao, Liuping Cai, Yingdong Ni, Shengyong Mao, Ruqian Zhao

Open access · goldAbstract read
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2021. 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
0.4field-weighted citation impact, top 45% 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, 10 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

7 authors at 1 institution in 1 country.

Qu ChenKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Chen WuKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Zhihao YaoKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Liuping CaiKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Yingdong NiKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Shengyong MaoLaboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Ruqian ZhaoKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, China.
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subacute ruminal acidosis (SARA) is a common metabolic disease in the dairy farming industry which is usually caused by an excessive amount of high concentrate diet. SARA not only threatens animal welfare but also leads to economic losses in the farming industry. The liver plays an important role in the distribution of nutritional substances and metabolism; however, a high concentrate diet can cause hepatic metabolic disorders and liver injury. Recently, noncoding RNA has been considered as a critical regulator of hepatic disease, however, its role in the bovine liver is limited. In this study, 12 mid-lactating dairy cows were randomly assigned to a control (CON) group (40% concentrate of dry matter,

Indexed as

Dairy cowHigh concentrate dietLiverWhole transcriptome sequencing

Identifiers

PMID34786504
PMCPMC8567331
OpenAlexW3206066814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.