&lt;p&gt;Validation of the Key Active Ingredients and Anti-Inflammatory and Analgesic Effects of Shenjin Huoxue Mixture Against Osteoarthritis by Integrating Network Pharmacology Approach and Thin-Layer Chromatography Analysis&lt;/p&gt;

Yu, Meixiang; Ma, Xiaoqin; Song, Xin; Huang, Yongmei; Jiang, Huiting; Wang, Jing; Yang, Weiping

doi:10.2147/dddt.s243951

Cited by 12 publications

(10 citation statements)

References 46 publications

(56 reference statements)

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“…Then, parameters, such as the degree in the network, were calculated using its plugin NetworkAnalyzer. The higher the degree value of the node (candidate target/protein), the more important the role in the network (28). Thus, nodes with the highest degree value were identified as the key targets of PF secondary to COVID-19.…”

Section: Construction and Analysis Of Ppi Network Of Candidate Targetsmentioning

confidence: 99%

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Yu¹,

Song²,

Ma³

et al. 2021

Ann Palliat Med

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Background: The complication, pulmonary fibrosis (PF) secondary to COVID-19, may have a second wave of late mortality, given the huge number of individuals infected by COVID-19. However, the molecular mechanisms of PF secondary to COVID-19 haven't been fully elucidated, making the identification of novel strategies for targeted therapy challenging. This study aimed to systematically identify the molecular mechanisms and high-frequency core traditional Chinese medicine (TCM) targeting PF secondary to COVID-19 through network pharmacology and data mining. Methods:The molecular mechanisms of PF secondary to COVID-19 were identified by mapping the COVID-19 differentially expressed gene and known targets associated with PF, protein-protein interactions network analysis, and enrichment pathway analysis; then the high-frequency core TCM targeting PF secondary to COVID-19 were identified by data mining and "Key targets related to PF secondary to COVID-19 -Ingredients" and "Key ingredients-key herbs" network analysis; and last we validated the interaction between the key ingredients and key targets by molecular docking.Results: The molecular mechanisms of PF secondary to COVID-19 were mainly related to tumor necrosis factor (TNF) signaling pathway, cytokine−cytokine receptor interaction pathway, and NF−κB signaling pathway. Among these, cytokines interleukin 6 (IL-6), TNF, and IL-1β were identified as the key targets associated with PF secondary to COVID-19. The high-frequency core TCM targeting these key targets were identified, including ingredients of quercetin, epigallocatechin-3-gallate, emodin, triptolide, resveratrol, and herb of Polygonum cuspidatum. Finally, our results were validated by quercetin and resveratrol both well docked to IL-6, TNF, and IL-1β protein, with the estimated docking energy < 0 kcal/mol. Conclusions:This study identified the cytokines-related molecular mechanisms of PF secondary to COVID-19, and the high-frequency core TCM against PF by targeting IL-6, TNF, and IL-1β. Which provides new ideas for the discovery of small molecular compounds with potential therapeutic effects on PF secondary to COVID-19.

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Section: Construction and Analysis Of Ppi Network Of Candidate Targetsmentioning

confidence: 99%

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Yu¹,

Song²,

Ma³

et al. 2021

Ann Palliat Med

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“…Paeoniflorin, extracted from the dried roots of Paeonia lactiflora Pall. and Paeonia suffruticosa Andr., has regulating autophagy [ 37 ], anti-inflammatory [ 44 ], analgesic [ 45 ], and antitumor [ 46 ] effect.…”

Section: Glycosidesmentioning

confidence: 99%

“…In terms of anti-inflammation, astragaloside IV significantly inhibited NF-κB-mediated activation of NLRP3 inflammasome and Nrf2 in vitro and in vivo [43]. Andr., has regulating autophagy [37], anti-inflammatory [44], analgesic [45], and antitumor [46] effect. Paeoniflorin could promote the binding of autophagosome and lysosome, significantly downregulate intracellular ROS level, and inhibit the oxidative damage in SH-SY5Y cells caused by H2O2 [47].…”

Section: Astragaloside IV (Asi)mentioning

confidence: 99%

Research Progress on Natural Product Ingredients’ Therapeutic Effects on Parkinson’s Disease by Regulating Autophagy

Sun

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Parkinson’s disease (PD) is a common neurodegenerative disease in middle-aged and older adults. Abnormal proteins such as α-synuclein are essential factors in PD’s pathogenesis. Autophagy is the main participant in the clearance of abnormal proteins. The overactive or low function of autophagy leads to autophagy stress. Not only is it difficult to clear abnormal proteins but also it can cause damage to neurons. In this article, the effects of natural products ingredients, such as salidroside, paeoniflorin, curcumin, resveratrol, corynoxine, and baicalein, on regulating autophagy and protecting neurons were discussed in detail to provide a reference for the research and development of drugs for the treatment of PD.

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“…The main differentially expressed genes (DEGs) of 60 paired NSCLC patients were analyzed by comparing the primary NSCLC tumor with adjacent normal lung tissue specimens extracted from dataset GDS3837. The Cut-off values was p < 0.05 and the absolute value of the log2 fold change ≥ 1.5 [19].…”

Section: Analysis the Expression Of Scn4b In Nsclc Patientsmentioning

confidence: 99%

Low Expression of SCN4B Correlated with DNA Hypermethylation and Poor Prognosis in Non-small Cell Lung Cancer

Yu¹,

Wang²,

Lv³

et al. 2021

Preprint

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Background:Voltage-gated sodium channels β subunits 4 (SCN4B), a tumor suppressor, was previously reported to be associated with DNA methylation and poor prognosis in multiple cancers except lung cancer. This study aimed to explore whether the low expression of SCN4B was correlated with DNA methylation and clinical prognosis in non-small cell lung cancer (NSCLC) . Methods:The gene expression profiles (GDS3837and GSE50081) were extracted from Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) analysis was performed to explore the expression of SCN4B in NSCLC tissue compared with normal tissue, with the cut-oﬀ value p < 0.05 and the absolute value of the log2 fold change ≥ 1.5. Immunohistochemistry staining was used to validated its expression using The Human Protein Atlas database. And MPRESS was used to analysis the relations of SCN4B expression between DNA methylation. Then, the Fisher exact and Wilcoxon rank-sum tests were used to calculate the associations of SCN4B expression with NSCLC clinicopathological features such as clinical grade and tumor node metastasis (TNM) stage, while Kaplan–Meier survival analysis and cox regression analysis were performed to estimate the prognostic value of SCN4B expression in NSCLC. Results: Our DEGS analysis results showed a significantly decreased expression of SCN4B (p=6.5e-22) in NSCLC, which were validated by immunohistochemistry staining. Besides, this decreasing trend continued as the clinical grade and T stage advanced (p<0.05). There was a negative correlation between the SCN4B expression and DNA promoter methylation (p<0.01). Kaplan–Meier survival analysis indicated that NSCLC patients with low expression of SCN4B had a worse prognosis than those with high expression (p < 0.004). Meanwhile, univariate and multivariate analysis indicated SCN4B expression was an independent unfavorable prognostic factor for OS in NSCLC (Hazard Ratio= 0.236, p = 0.009; Hazard Ratio=0.219, p = 0.003, respectively).Conclusions: SCN4B expression was significantly downregulated in NSCLC, which might be attributed to DNA promoter hypermethylation. The low expression of SCN4B indicated a potential unfavorable prognostic factor for NSCLC patients.

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<p>Validation of the Key Active Ingredients and Anti-Inflammatory and Analgesic Effects of Shenjin Huoxue Mixture Against Osteoarthritis by Integrating Network Pharmacology Approach and Thin-Layer Chromatography Analysis</p>

Cited by 12 publications

References 46 publications

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Research Progress on Natural Product Ingredients’ Therapeutic Effects on Parkinson’s Disease by Regulating Autophagy

Low Expression of SCN4B Correlated with DNA Hypermethylation and Poor Prognosis in Non-small Cell Lung Cancer

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<p>Validation of the Key Active Ingredients and Anti-Inflammatory and Analgesic Effects of Shenjin Huoxue Mixture Against Osteoarthritis by Integrating Network Pharmacology Approach and Thin-Layer Chromatography Analysis</p>

Cited by 12 publications

References 46 publications

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining

Research Progress on Natural Product Ingredients’ Therapeutic Effects on Parkinson’s Disease by Regulating Autophagy

Low Expression of SCN4B Correlated with DNA Hypermethylation and Poor Prognosis in Non-small Cell Lung&nbsp;Cancer

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Low Expression of SCN4B Correlated with DNA Hypermethylation and Poor Prognosis in Non-small Cell Lung Cancer