Evidence map›Paper›PMID 35291945›Full record

ArticleBMC plant biology2022

Metabolomics analysis of three Artemisia species in the Tibet autonomous region of China.

Xinyu Liu, Jinglong Wang, Enxia Huang, Bo Li, Shuhang Zhang, Weina Wang, Ziyu Guo, Kexin Wu, Yunhao Zhang, Baoyu Zhao and 1 more

Abstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

11 authors.

Xinyu Liu *College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Jinglong Wang *Tibet Academy of Agricultural and Animal Husbandry Sciences/State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, 850002, Tibet, China.
Enxia HuangCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Bo LiCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Shuhang ZhangCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Weina WangCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Ziyu GuoCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Kexin WuCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yunhao ZhangCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Baoyu ZhaoCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Hao LuCollege of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China. luhao@nwsuaf.edu.cn.

Funding

National Natural Science Foundation of China 32072929Tibet Autonomous Region XZ201902NB01
6 · The paper itself

Abstract

backgroundThe Artemisia species are widely distributed around the world, and have found important usage in traditional medicinal practice. This study was designed to investigate the metabolites of Tibetan Artemisia species and understand the metabolic pathways.

methodsThe metabolites from three Artemisia species in Tibet, were analyzed using LC-MS/MS. The differential metabolites were classified and analyzed by principal component analysis (PCA), partial least squares analysis and hierarchical clustering. KEGG Pathway enrichment analysis was used to identify the key metabolic pathways involved in the differential metabolites of three Artemisia species.

resultThe metabolites of three Artemisia species were analyzed. Under the positive ion mode in LC-MS/MS, 262 distinct metabolites were differentially detected from Artemisia sieversiana and Artemisia annua, 312 differential metabolites were detected from Artemisia wellbyi and Artemisia sieversiana, 306 differential metabolites were screened from Artemisia wellbyi and Artemisia annua. With the negative ion mode, 106 differential metabolites were identified from Artemisia sieversiana and Artemisia annua, 131 differential metabolites were identified from Artemisia wellbyi and Artemisia sieversiana,133 differential metabolites were differentially detected from Artemisia wellbyi and Artemisia annua. The selected differential metabolites were mainly organic acids and their derivatives, ketones, phenols, alcohols and coumarins. Among these natural compounds, artemisinin, has the highest relative content in Artemisia annua.

conclusionsThis is the first reported attempt to comparatively determine the types of the metabolites of the three widely distributed Artemisia species in Tibet. The information should help medicinal research and facilitate comprehensive development and utilization of Artemisia species in Tibet.

Indexed as

Artemisia annuaTandem Mass SpectrometryChinaChromatography, LiquidMetabolomicsTibetArtemisia annuaArtemisia sieversianaArtemisia wellbyiLC–MS/MSNon-targeted metabolomicsTibet

Identifiers

PMID35291945
PMCPMC8922784

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