Evidence map›Paper›PMID 39043795›Full record

ArticleScientific reports2024

Analysis and comparison of blood metabolome of forest musk deer in musk secretion and non-secretion periods.

Yufan Wang, Pengcheng Yang, Taoyue Chen, Jingyao Hu, Xian An, Congxue Yao, Liancheng Xu, Yuli Xu, Shuqiang Liu

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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. Article
  3. Article
  4. Dietary supplementation withFrontiers in veterinary science · 2024
    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.

Yufan WangSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Pengcheng YangSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Taoyue ChenSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Jingyao HuSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Xian AnSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Congxue YaoYanshe Biological Technology Co., Ltd, Shanghai, China.
Liancheng XuZhangzhou Pien Tze Huang Pharmaceutical Co., Ltd, Fujian, China.
Yuli XuZhangzhou Pien Tze Huang Pharmaceutical Co., Ltd, Fujian, China.
Shuqiang LiuSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China. liushuqiang@bjfu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musk is an important animal product, but the musk secretion mechanism of forest musk deer (Moschus berezovskii) is still unclear. The musk synthesis process in forest musk deer is extremely complex, and many raw materials are directly or indirectly derived from forest musk deer blood. In this study, metabolomics was used to analyze the blood of forest musk deer in secretory and non-secretory phases for the first time, aim at explaining the secretion mechanism from the perspective of blood metabolism. We found that P450-related, choline-related, axonal regeneration and other pathways and related metabolites were significantly enriched during the musk secretion of forest musk deer. These pathways and metabolites related to P450 and choline in blood may have important implications for the mechanism of musk secretion in forest musk deer, because blood components were closely related to musk components and could provide raw materials for musk synthesis in musk gland cells.

Indexed as

DeerFatty Acids, MonounsaturatedMetabolomeAnimalsForestsMetabolomicsFatty Acids, MonounsaturatedmuskBlood componentsMetabolomicsMusk secretion

Identifiers

PMID39043795
PMCPMC11266552

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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.