Evidence map›Paper›PMID 33817403›Full record

ArticleJournal of veterinary research2021

Cai-Hua Xue, Shun-Xian A, Meng-Jie Wang, Qiang Wu, Jia-Hua Liu, Long-Fei Zhang, Yun Wu, Hua Wu, Sha-Tuo Chai

Abstract read
In one paragraph

Article in Journal of veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Cai-Hua XueCollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Shun-Xian ACollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Meng-Jie WangCollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Qiang WuCollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Jia-Hua LiuCollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Long-Fei ZhangCollege of Agriculture and Animal Husbandry, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.
Yun WuCollege of Agronomy and Biotechnology, Zun Normal College, Zunyi, Guizhou Province 563006, People's Republic of China.
Hua WuState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai Province 810016, People's Republic of China.
Sha-Tuo ChaiCollege of Animal Science and Veterinary Medicine, Qinghai University, Xining Qinghai Province 810016, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInflammation is one of the main causes of impaired health in livestock and some of its processes weaken animal productivity and impact human health. The present study was conducted to evaluate the effect of echinacea extract (cichoric acid - CA) on yak peripheral blood mononuclear cells (PBMCs), inflammatory-related factors, and the toll-like receptor (TLR)4 signalling pathway induced by lipopolysaccharide (LPS) in these PBMCs. MATERIAL AND

methodsYak PBMCs were co-cultured with LPS and CA

resultsCA inhibited the inflammatory response of yak PBMCs induced by LPS. CA inhibited gene and protein expression of key nodes of the TLR4 signalling pathway in yak PBMCs.

conclusionIt is suggested that CA has anti-inflammatory and immunomodulatory effects on yak PBMCs

Indexed as

CAinflammationLPSTLR4yak PBMCs

Identifiers

PMID33817403
PMCPMC8009576

What OpenQuestion holds

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Registered trials

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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.