Systematic profiling of the effective ingredients and mechanism of Scabiosa comosa and S. tschilliensis against hepatic fibrosis combined with network pharmacology

Chen, Qianwen; Wang, Yuanyuan; Ma, Fei-Xiang; Han, Mengdi; Wang, Zhen; Xue, Peifeng; Lu, Jianwei

doi:10.1038/s41598-021-81399-x

Cited by 7 publications

(12 citation statements)

References 32 publications

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“…In accordance with previous studies, these results indicated that the above pathways had important effects on the progression and advancement of EMT. Among them, the Wnt/β-catenin pathway is the best researched anti-fibrosis pathway related to EMT ( ChenQ et al, 2021 ; Gao, et al, 2020 ). Therefore, the Wnt/β-catenin pathway may play a crucial role in JPYSF against EMT.…”

Section: Discussionmentioning

confidence: 99%

Network Pharmacology and Experimental Verification Strategies to Illustrate the Mechanism of Jian-Pi-Yi-Shen Formula in Suppressing Epithelial–Mesenchymal Transition

Zhao

Wang

et al. 2022

Front. Pharmacol.

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Jian-Pi-Yi-Shen formula (JPYSF), a traditional Chinese medicine, has been recommended to treat renal fibrosis for decades. Previous studies had shown that JPYSF could inhibit epithelial–mesenchymal transition (EMT), an important regulatory role in renal fibrosis. However, the mechanism of JPYSF action is largely unknown. In this study, network pharmacology and experimental verification were combined to elucidate and identify the potential mechanism of JPYSF against renal fibrosis by suppressing EMT at molecular and pathway levels. Network pharmacology was first performed to explore the mechanism of JPYSF against renal fibrosis targeting EMT, and then a 5/6 nephrectomy (5/6 Nx)-induced rat model of renal fibrosis was selected to verify the predictive results by Masson’s trichrome stains and western blot analysis. Two hundred and thirty-two compounds in JPYSF were selected for the network approach analysis, which identified 137 candidate targets of JPYSF and 4,796 known therapeutic targets of EMT. The results of the Gene Ontology (GO) function enrichment analysis included 2098, 88, and 133 GO terms for biological processes (BPs), molecular functions (MFs), and cell component entries, respectively. The top 10 enrichment items of BP annotations included a response to a steroid hormone, a metal ion, oxygen levels, and so on. Cellular composition (CC) is mainly enriched in membrane raft, membrane microdomain, membrane region, etc. The MF of JPYSF analysis on EMT was predominately involved in proximal promoter sequence-specific DNA binding, protein heterodimerization activity, RNA polymerase II proximal promoter sequence-specific DNA binding, and so on. The involvement signaling pathway of JPYSF in the treatment of renal fibrosis targeting EMT was associated with anti-fibrosis, anti-inflammation, podocyte protection, and metabolism regulation. Furthermore, the in vivo experiments confirmed that JPYSF effectively ameliorated interstitial fibrosis and inhibited the overexpression of α-SMA, Wnt3a, and β-catenin, and increased the expression of E-cadherin by wnt3a/β-catenin signaling pathway in 5/6 Nx-induced renal fibrosis rats. Using an integrative network pharmacology-based approach and experimental verification, the study showed that JPYSF had therapeutic effects on EMT by regulating multi-pathway, among which one proven pathway was the Wnt3a/β-catenin signaling pathway. These findings provide insights into the renoprotective effects of JPYSF against EMT, which could suggest directions for further research of JPYSF in attenuating renal fibrosis by suppressing EMT.

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Section: Discussionmentioning

confidence: 99%

Network Pharmacology and Experimental Verification Strategies to Illustrate the Mechanism of Jian-Pi-Yi-Shen Formula in Suppressing Epithelial–Mesenchymal Transition

Zhao

Wang

et al. 2022

Front. Pharmacol.

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“…For example, using the interaction networks, Chen et al . [ 70 ] found that the main effective ingredients in Scabiosa comosa and Scabiosa tschilliensis for treating liver diseases are flavonoids which were experimentally validated. Based on the compound-target network of Cistanche tubulosa , the top ingredients with strong synergy potential for anti-inflammatory effect were predicted and validated by experiments in vitro [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

Network-based modeling of herb combinations in traditional Chinese medicine

Wang

Yang

Chen

et al. 2021

Briefings in Bioinformatics

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Traditional Chinese medicine (TCM) has been practiced for thousands of years for treating human diseases. In comparison to modern medicine, one of the advantages of TCM is the principle of herb compatibility, known as TCM formulae. A TCM formula usually consists of multiple herbs to achieve the maximum treatment effects, where their interactions are believed to elicit the therapeutic effects. Despite being a fundamental component of TCM, the rationale of combining specific herb combinations remains unclear. In this study, we proposed a network-based method to quantify the interactions in herb pairs. We constructed a protein–protein interaction network for a given herb pair by retrieving the associated ingredients and protein targets, and determined multiple network-based distances including the closest, shortest, center, kernel, and separation, both at the ingredient and at the target levels. We found that the frequently used herb pairs tend to have shorter distances compared to random herb pairs, suggesting that a therapeutic herb pair is more likely to affect neighboring proteins in the human interactome. Furthermore, we found that the center distance determined at the ingredient level improves the discrimination of top-frequent herb pairs from random herb pairs, suggesting the rationale of considering the topologically important ingredients for inferring the mechanisms of action of TCM. Taken together, we have provided a network pharmacology framework to quantify the degree of herb interactions, which shall help explore the space of herb combinations more effectively to identify the synergistic compound interactions based on network topology.

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“…Preceding works of literature mainly stated medicinal application of Scabiosa is vastly contributed by its biologically active compounds such as iridoids, pentacyclic triterpenoids and polyphenolic compounds. These compounds were mostly found in this species of plants and yield beneficial therapeutic properties such as antioxidant, anti-fibrotic, anti-inflammatory, anti-HCV, anti-amnesic, antitumor and antibacterial activity 2,[4][5][6][7][8][9][10] . In the case of SC, the inflorescence of SC used along with Scabiosa tschilliensis, ʻLanpenhuaʼ in Chinese, was traditionally used to treat liver disease in Mongolian folk medicine 8 .…”

Section: Introductionmentioning

confidence: 99%

“…These compounds were mostly found in this species of plants and yield beneficial therapeutic properties such as antioxidant, anti-fibrotic, anti-inflammatory, anti-HCV, anti-amnesic, antitumor and antibacterial activity 2,[4][5][6][7][8][9][10] . In the case of SC, the inflorescence of SC used along with Scabiosa tschilliensis, ʻLanpenhuaʼ in Chinese, was traditionally used to treat liver disease in Mongolian folk medicine 8 . Also, used as a remedy for headache, fever, cough, liver heat, pulmonary heat and throat heat 4 .…”

Section: Introductionmentioning

confidence: 99%

Extract of Scabiosa comosa Exhibits an Anti-Inflammatory Effect on Carrageenan and Lipopolysaccharide-Induced Acute Inflammation in Rats

Tsenguun¹,

Altanchime²,

Soyolmaa³

et al. 2023

International J. of Pharmacology

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Background and Objective: The herb Scabiosa comosa (SC) is a herbal medicine used in both Mongolian and Chinese traditional medicine for liver disease. The previous studies show the presence of flavonoids and other high anti-oxidant compounds which may exert anti-inflammatory effects. This study is devoted to evaluating the anti-inflammatory effect of the aerial part of Scabiosa comosa (SC) based on their bioactive compound contained and in vivo model. Materials and Methods: Bioactive compound estimation is based on a total phenolic compound and flavonoid content, according to Folin-Ciocalteu reagent and aluminium trichloride reagent methods, respectively.In vivo experiments, acute pulmonary inflammation induced by lipopolysaccharide (LPS) and carrageenan-induced paw edema models were used to investigate the anti-inflammatory effect of SC. Results: The total phenolic compound and content were 626.4±1.4 µg EGA mgG 1 and flavonoid content was 3.3±0.3 µg EQ mgG 1 . The SC significantly reduced the volume of the hind paw after the injection of carrageenan at 120 min. The SC showed fewer histopathological changes such as haemorrhage, neutrophil infiltration and alveolar edema after the injection of LPS. In addition, SC considerably reduced the plasma levels of pro-inflammatory cytokine (TNF-", IL-6 and IL-1$) while upregulating the plasma level of anti-inflammatory cytokine (IL-10). Conclusion: Overall, the study defines SC as a potential anti-inflammatory agent against LPS and carrageenan-induced inflammation.

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Systematic profiling of the effective ingredients and mechanism of Scabiosa comosa and S. tschilliensis against hepatic fibrosis combined with network pharmacology

Cited by 7 publications

References 32 publications

Network Pharmacology and Experimental Verification Strategies to Illustrate the Mechanism of Jian-Pi-Yi-Shen Formula in Suppressing Epithelial–Mesenchymal Transition

Network Pharmacology and Experimental Verification Strategies to Illustrate the Mechanism of Jian-Pi-Yi-Shen Formula in Suppressing Epithelial–Mesenchymal Transition

Network-based modeling of herb combinations in traditional Chinese medicine

Extract of Scabiosa comosa Exhibits an Anti-Inflammatory Effect on Carrageenan and Lipopolysaccharide-Induced Acute Inflammation in Rats

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