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Mechanisms of Tanyu Tongzhi Optimization Decoction against hyperlipidemia based on transcriptomics and proteomics
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Ying YANG1, Xiang LI1, Dan-li TANG2, Bing LI3, Si-jia WU3, Wen-jing ZONG1, *, Hua-min ZHANG1, *
Chinese Journal of Traditional Chinese Medicine | 2026, 51(1) : 133 - 142
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Chinese Journal of Traditional Chinese Medicine | 2026, 51(1): 133-142
Mechanisms of Tanyu Tongzhi Optimization Decoction against hyperlipidemia based on transcriptomics and proteomics
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Ying YANG1, Xiang LI1, Dan-li TANG2, Bing LI3, Si-jia WU3, Wen-jing ZONG1, *, Hua-min ZHANG1, *
Affiliations
  • 1.Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 2.Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 3.Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
Published: 2026-01-01 doi: 10.19540/j.cnki.cjcmm.20251011.701
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This study established a hyperlipidemia model by feeding Sprague-Dawley rats a high-fat diet for 8 weeks. The rats were randomly assigned to the following groups: model group, atorvastatin calcium group (4.8 mg·kg-1), low-, medium-, and high-dose Tanyu Tongzhi Optimization Decoction (TYTZD) groups (3.6, 7.2, and 14.4 g·kg-1), and a normal diet control group. After 4 weeks of continuous administration, hematoxylin-eosin (HE) and oil red O staining were used to observe liver pathological changes and lipid infiltration. Automatic biochemical analyzer were performed to assess blood lipid profiles, coagulation function, and liver function. Transcriptomic and proteomic analyses were employed to identify differentially expressed genes (DEGs) and proteins (DEPs), followed by enrichment analysis. The MCODE algorithm was applied to classify DEGs and DEPs into modules, and network separation index (SAB) was calculated to assess module separation, enabling construction of a gene-protein co-expression network for core target screening. The diagnostic accuracy of core targets was evaluated by area under the receiver operating characteristic (ROC) curve (AUC), and ELISA was used to measure core target expression. Western blot detected the expression of core pathway-related proteins in liver tissue. Results demonstrated that TYTZD significantly improved dyslipidemia, coagulation dysfunction, liver injury, hepatic pathology, and lipid infiltration in hyperlipidemic rats. Transcriptomic analysis identified 571 DEGs significantly reversed by TYTZD, mainly enriched in inflammatory signaling pathways such as Toll-like receptor 4 (TLR4)/nuclear factor-κB (NF-κB). Proteomic analysis identified 102 reversed DEPs, mainly involved in cholesterol metabolism pathways. Integrated analysis identified core targets including TLR4, tumor necrosis factor-α (TNF-α), integrin subunit alpha M (ITGAM), Toll-like receptor 2 (TLR2), matrix metalloproteinase 9 (MMP9), interleukin-1β (IL-1β), apolipoprotein E (APOE), and apolipoprotein C2 (APOC2), all with AUC values greater than 0.70. ELISA showed that TYTZD intervention significantly downregulated MMP9, TNF-α, IL-1β, TLR2, ITGAM, and TLR4, and upregulated APOC2 and APOE. Western blot indicated that TYTZD reduced TLR4, p-NF-κB, and IL-1β protein expression in liver tissue. In conclusion, TYTZD may exert anti-hyperlipidemic effects through regulation of core targets such as ITGAM, TLR4, and APOC2, and by modulating the TLR4/NF-κB signaling pathway to intervene in inflammatory responses and cholesterol metabolism, thereby achieving multi-target, multi-pathway therapeutic effects against hyperlipidemia.

hyperlipidemia  /  Gualou Xiebai Banxia Decoction  /  Tanyu Tongzhi Optimization Decoction  /  transcriptomics  /  proteomics  /  network separation index
Ying YANG, Xiang LI, Dan-li TANG, Bing LI, Si-jia WU, Wen-jing ZONG, Hua-min ZHANG. Mechanisms of Tanyu Tongzhi Optimization Decoction against hyperlipidemia based on transcriptomics and proteomics[J]. Chinese Journal of Traditional Chinese Medicine, 2026 , 51 (1) : 133 -142 . DOI: 10.19540/j.cnki.cjcmm.20251011.701
Year 2026 volume 51 Issue 1
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Article Info
doi: 10.19540/j.cnki.cjcmm.20251011.701
  • Receive Date:2025-07-08
  • Online Date:2026-06-25
  • Published:2026-01-01
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  • Received:2025-07-08
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Affiliations
    1.Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
    2.Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
    3.Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
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https://castjournals.cast.org.cn/joweb/zgzyzz/EN/10.19540/j.cnki.cjcmm.20251011.701
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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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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