Evidence map›Paper›PMID 34381832›Full record

ArticleFrontiers in veterinary science2021

Non-targeted Metabolomics Reveals Metabolic Characteristics of Porcine Atretic Follicles.

Jiayuan Mo, Le Sun, Juanru Cheng, Yujie Lu, Yaochang Wei, Guangsheng Qin, Jing Liang, Ganqiu Lan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

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  13. Effects of the Probiotic,Animals : an open access journal from MDPI · 2022
    Article
  14. Article
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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 2 institutions in 1 country.

Jiayuan MoCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Le SunCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Juanru ChengKey Laboratory of Buffalo Genetics, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Science, Nanning, China.
Yujie LuCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Yaochang WeiCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Guangsheng QinKey Laboratory of Buffalo Genetics, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Science, Nanning, China.
Jing LiangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Ganqiu LanCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Guangxi University · CNGuangxi Buffalo Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Follicular atresia is one of the main factors limiting the reproductive power of domestic animals. At present, the molecular mechanisms involved in porcine follicular atresia at the metabolic level remain unclear. In this study, we divided the follicles of Bama Xiang pigs into healthy follicles (HFs) and atretic follicles (AFs) based on the follicle morphology. The expression of genes related to atresia in granulosa cells (GCs) and the concentration of hormones in the follicular fluid (FF) from HFs and AFs were detected. We then used liquid chromatography-mass spectrometry-based non-targeted metabolomic approach to analyze the metabolites in the FF from HFs and AFs. The results showed that the content of estradiol was significantly lower in AFs than in HFs, whereas that of progesterone was significantly higher in AFs than that in HFs. The expression of

Indexed as

Bama Xiang pigfollicular atresiafollicular fluidLC-MSnon-targeted metabolomics

Identifiers

PMID34381832
PMCPMC8350117
OpenAlexW3185334062

What OpenQuestion holds

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LicenceCC BY
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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.