Evidence map›Paper›PMID 39468240›Full record

ArticleScientific reports2024

Study on HPLC fingerprint of Saposhnikovia divaricata lipophilic components and anti-aging effects.

Xianwen Yue, Yang Xu, Bin Sun, Yali Shang, Zhuo Yu, Yingming Hu, Huiwei Bao, Hao Yue

Abstract read
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
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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  2. Machine Learning Modeling forFoods (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xianwen YueJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China.
Yang XuSchool of Pharmacy, Baicheng Medical College, Baicheng, 137000, China.
Bin SunSchool of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China.
Yali ShangSchool of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China.
Zhuo YuSchool of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China.
Yingming HuSchool of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China.
Huiwei BaoSchool of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China. baohuiwei@163.com.
Hao YueJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China. yuehao@ccucm.edu.cn.

Funding

Baicheng Medical College Key Laboratory of Quality Evaluation of Traditional Chinese Medicine BYKPT202202Basic construction funds within the Jilin provincial budget for 2023(innovation capacity building) 2023C037-5Science and Technology Development Plan Project of Jilin Province, China YDZJ202401503ZYTSScience and Technology Research Projects of education department of Jilin Province JJKH20231003KJ
6 · The paper itself

Abstract

Saposhnikovia divaricata is commonly used in clinical practice as a heat-clearing and detoxifying traditional Chinese medicine. Current research on Saposhnikovia divaricata has mostly focused on chromones, while studies on its lipophilic parts remain scarce. In this study, samples of the lipophilic components of Saposhnikovia divaricata (SDL) from different regions in China were collected to establish an HPLC fingerprint. The quality of SDL was evaluated through chemical pattern recognition and multi-component content determination. Furthermore, using the Caenorhabditis elegans (C. elegans) model, the anti-aging ability of SDL was preliminarily studied. In the HPLC fingerprints of 11 batches of SDL, 19 common peaks were identified, and 4 components were characterized as follows: peak 14, linolenic acid (ALA); peak 15, docosahexaenoic acid (DHA); peak 16, linoleic acid (LA); peak 17, oleic acid (OA). The similarity of the fingerprint ranged from 0.704 to 0.929. The results indicate that the content of ALA, DHA, LA, and OA are 0.040-0.440 mg/g, 0.003-0.116 mg/g, 1.047-6.460 mg/g, and 0.040-0.294 mg/g, respectively. HCA analysis divided 11 batches of SDL into two categories, and PCA analysis extracted 6 principal components with a cumulative contribution rate of 85.91%. The anti-aging ability of the SDL was proved by measuring the lifespan, reproductive capacity, body length, mobility, lipofuscin content, and heat stress resistance of C. elegans. The combination of high-performance liquid chromatography fingerprint and chemical pattern recognition for multi-component content determination is a reliable, comprehensive, and promising evaluation of the quality of SDL. The confirmation of SDL's anti-aging ability provides the possibility for the research of Saposhnikovia divaricata in the field of healthy food and cosmetics.

Indexed as

ApiaceaeCaenorhabditis elegansAgingAnimalsChromatography, High Pressure LiquidDrugs, Chinese HerbalDrugs, Chinese HerbalAnti-aging effectsChemical pattern recognitionContent determinationHPLC fingerprintSaposhnikovia divaricata lipophilic components

Identifiers

PMID39468240
PMCPMC11519334

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