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Mechanism of Rhodiola crenulata Against Exercise-induced Fatigue Based on Network Pharmacology and Metabolomics
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Ying WANG1, Yan ZHANG1, Lijun XU2, Zongyao WU2, Ran YANG1, *, Yongqing ZHANG1, *
Science and Technology of Food Industry | 2026, 47(2) : 419 - 428
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Science and Technology of Food Industry | 2026, 47(2): 419-428
• Nutrition and Healthcare •
Mechanism of Rhodiola crenulata Against Exercise-induced Fatigue Based on Network Pharmacology and Metabolomics
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Ying WANG1, Yan ZHANG1, Lijun XU2, Zongyao WU2, Ran YANG1, *, Yongqing ZHANG1, *
Affiliations
  • 1School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
  • 2Institute of Tibetan Medicine, Tibet University of Tibetan Medicine, Lasa 850000, China
Published: 2026-01-15 doi: 10.13386/j.issn1002-0306.2024120295
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Objective: To investigate the mechanism of Rhodiola crenulata in alleviating exercise-induced fatigue (EIF) through integrated network pharmacology, animal experiments, and metabolomics. Methods: Network pharmacology was employed to screen potential targets of active components and EIF-related disease targets. Protein-protein interaction (PPI) networks of overlapping targets were constructed, followed by GO and KEGG pathway enrichment analyses. C57BL/6N mice were divided into control, EIF model, and low, medium, and high-dose Rhodiola crenulata groups. The EIF model was established via exhaustive swimming and rotarod tests. The body weight, exhaustive swimming time, and other physiological signs were recorded. Histological examination of skeletal muscle was conducted using HE staining. The concentrations of serum lactate, muscle glycogen, and liver glycogen, as well as the levels of IL-6 and TNF-α in skeletal muscle, were measured using assay kits. Additionally, the expression levels of VEGFA and AKT1 proteins in skeletal muscle were assessed using Western Blotting and qRT-PCR. Metabolomic profiling of skeletal muscle was performed to identify differential metabolites and associated pathways, which were further integrated with network pharmacology results. Results: Network pharmacological identified 110 overlapping targets between Rhodiola crenulata and EIF. Key targets were identified as TNF, IL-6, VEGFA, and AKT1, while bioactive constituents included epicatechin, quercetin, epigallocatechin gallate and others. Compared to the model group, administration of medium and high doses of Rhodiola crenulata extremely significantly prolonged the exhaustive swimming time (P<0.001), improved skeletal muscle fiber alignment, reduced serum lactate (P<0.001), elevated glycogen levels (P<0.001), and decreased IL-6 and TNF-α levels (P<0.001). High-dose administration markedly downregulated the protein expression of VEGFA and upregulated that of AKT1 (P<0.001). Metabolomics revealed 46 differential metabolites in skeletal muscle, primarily enriched in glycerophospholipid metabolism, α-linolenic acid metabolism, linoleic acid metabolism, and arachidonic acid metabolism. Integrated analysis highlighted glycerophospholipid and arachidonic acid metabolism as pivotal pathways. Conclusion: Rhodiola crenulata alleviates EIF by ameliorating skeletal muscle pathology, promoting glycogen synthesis, reducing lactate accumulation, suppressing inflammation, and modulating lipid metabolism. This effect is potentially mediated via TNF, IL-6, VEGFA, AKT1, and the glycerophospholipid and arachidonic acid metabolism pathways.

Rhodiola crenulata  /  exercise-induced fatigue  /  network pharmacology  /  metabolomics
王莹, 张研, 徐立军, 吴宗耀, 杨然, 张永清. 基于网络药理学和代谢组学研究红景天抗运动性疲劳的作用机制. 食品工业科技, 2026 , 47 (2) : 419 -428 . DOI: 10.13386/j.issn1002-0306.2024120295
Ying WANG, Yan ZHANG, Lijun XU, Zongyao WU, Ran YANG, Yongqing ZHANG. Mechanism of Rhodiola crenulata Against Exercise-induced Fatigue Based on Network Pharmacology and Metabolomics[J]. Science and Technology of Food Industry, 2026 , 47 (2) : 419 -428 . DOI: 10.13386/j.issn1002-0306.2024120295
Year 2026 volume 47 Issue 2
112
53
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doi: 10.13386/j.issn1002-0306.2024120295
  • Receive Date:2024-12-24
  • Online Date:2026-10-24
  • Published:2026-01-15
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  • Received:2024-12-24
Affiliations
    1School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
    2Institute of Tibetan Medicine, Tibet University of Tibetan Medicine, Lasa 850000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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