Exploration of the Potential Mechanisms of Wumei Pill for the Treatment of Ulcerative Colitis by Network Pharmacology

Therapeutic Evaluation of Wumei Pill (WP) for Nocturnal Asthma in Bmal1 Gene Knockout Mice

OBJECTIVE

Previous clinical studies have demonstrated that Wumei Pill (WP), a traditional Chinese medicine formula, can effectively alleviate nocturnal asthma-related anxiety and improve nighttime symptoms. The therapeutic mechanism of WP may involve regulation of inflammatory chemokines in peripheral blood. This mechanism is potentially linked to modulation of the circadian clock gene ARNT-like protein-1 (Bmal1), but precise pathways underlying this interaction remain unclear, requiring further investigation.

METHODS

Bmal1 knockout and wild-type mice were utilized to establish asthma models. Techniques such as flow cytometry, RT-PCR, and ELISA were employed to measure the levels of serum inflammatory mediators, specifically IFN-γ, CXCL16, I-TAC, and PARC. Furthermore, the pathological alterations in airway thickness were assessed. Additionally, we investigated the regulation of the Bmal1 gene and its influence on the circadian rhythm-related recruitment of leukocytes, as well as the expression patterns of downstream mediators.

RESULTS

Compared to the wild-type (WT) group, the model group showed significantly higher levels of CXCL16, I-TAC, and PARC (p < 0.05), as well as a notable decrease in IFN-γ expression. WP treatment effectively normalized the levels of these inflammatory factors in the model group, indicating a regulatory effect of WP on inflammatory chemokines.

CONCLUSION

The knockout of the Bmal1 gene, a crucial regulator of circadian rhythms, disrupts the circadian expression of inflammatory chemokines. Treatment with WP modulated Bmal1 expression, influencing the release of these mediators, offering a promising strategy for managing nocturnal asthma. Notably, wild-type nocturnal asthma mice exhibited significantly better control of airway inflammation compared to their Bmal1-deficient counterparts, highlighting the importance of circadian regulation in the pathophysiology of asthma.

Traditional Chinese Medicine formulas-based interventions on colorectal carcinoma prevention: The efficacies, mechanisms and advantages

ETHNOPHARMACOLOGICAL RELEVANCE

The Traditional Chinese Medicine Formulas (TCMFs) represent a distinctive medical approach to disease treatment and have been utilized in clinical practice for treating intestinal diseases for thousands of years. Recently, TCMFs have received increasing attention due to their advantages of high efficiency, safety, as well as low toxicity, providing promising strategies for preventing colorectal carcinoma (CRC). Nonetheless, the potential mechanism of TCMFs in preventing CRC has not been fully elucidated.

AIM OF THE STUDY

The literature from the past three years was reviewed to highlight the therapeutic effects and underlying mechanisms of TCMFs in preventing CRC.

MATERIALS AND METHODS

The keywords have been searched, including "traditional Chinese medicine formulas," "herb pairs," "Herbal plant-derived nanoparticles," et al. in "PubMed" and "China National Knowledge Infrastructure (CNKI)," and screened published articles related to the treatment of intestinal precancerous lesions. This review primarily examined the effectiveness and mechanisms of TCMFs in treating intestinal precancerous lesions, highlighting their significant potential in preventing CRC.

RESULTS

Gegen Qinlian decoction, Shaoyao decoction, Wu Wei Wan, etc., exert substantial therapeutic effects on intestinal precancerous lesions. These therapeutic effects are demonstrated by a reduction in disease activity index scores, suppression of intestinal inflammation, and preservation of body weight and intestinal function, all of which contribute to the effective prevention of CRC. Besides, the classic Chinese herbal pairs and the extracellular vesicle-like nanoparticles of herbaceous plants have demonstrated superior efficacy in the treatment of intestinal precancerous lesions. Mechanistically, protecting the epithelial barrier, regulating gut microbiota as well as related metabolism, modulating macrophage polarization, and maintaining immune balance contribute to the role of TCMFs in CRC prevention.

CONCLUSIONS

This review demonstrates the great potential and mechanism of TCMFs in CRC prevention and provides a scientific basis for their utilization in CRC prevention.

Quercetin ameliorates ulcerative colitis by restoring the balance of M2/M1 and repairing the intestinal barrier via downregulating cGAS‒STING pathway

Macrophage polarization is closely associated with the pathogenesis of ulcerative colitis (UC). Quercetin, a flavonoid, has shown promise as a treatment for inflammatory diseases, but its specific mechanism of action remains unclear. This study investigates whether quercetin can regulate intestinal macrophage polarization and promote intestinal tissue repair via the cGAS-STING pathway for the treatment of UC. In vivo, mice with 3% DSS-induced UC were intraperitoneally injected with quercetin and RU.521 for 7 days, following which their general conditions and corresponding therapeutic effects were assessed. The impact of interferon-stimulated DNA (ISD) and quercetin on macrophage polarization and the cGAS-STING pathway was investigated using RAW264.7 cells and bone marrow-derived macrophages (BMDMs) in vitro. The results demonstrated that ISD induced M1 macrophage polarization and activated the cGAS-STING pathway in vitro, while quercetin reversed ISD's inflammatory effects. In vivo, quercetin suppressed the cGAS-STING pathway in the intestinal macrophages of DSS-induced UC mice, which reduced M1 macrophage polarization, increased M2 polarization, and facilitated intestinal barrier repair in UC. Taken together, these findings provide new insights into the mechanisms via which quercetin could be used to treat UC.

Artificial intelligence in cardiology: a bibliometric study

OBJECTIVES

To perform a comprehensive bibliometric analysis of global publications on the applications of artificial intelligence (AI) in cardiology.

METHODS

Documents related to AI in cardiology published between 2002 and 2022 were retrieved from Web of Science Core Collection. R package "bibliometrix", VOSviewers and Microsoft Excel were applied to perform the bibliometric analysis.

RESULTS

A total of 4332 articles were included. United States topped the list of countries publishing articles, followed by China and United Kingdom. The Harvard University was the institution that contributed the most to this field, followed by University of California System and University of London. Disease risk prediction, diagnosis, treatment, disease detection, and prognosis assessment were the research hotspots for AI in cardiology.

CONCLUSIONS

Enhancing cooperation between different countries and institutions is a critical step in leading to breakthroughs in the application of AI in cardiology. It is foreseeable that the application of machine learning and deep learning in various areas of cardiology will be a research priority in the coming years.

Emerging role of exosomes in ulcerative colitis: Targeting NOD-like receptor family pyrin domain containing 3 inflammasome

Ulcerative colitis (UC) is a chronic recurrent inflammatory bowel disease. Despite ongoing advances in our understanding of UC, its pathogenesis is yet unelucidated, underscoring the urgent need for novel treatment strategies for patients with UC. Exosomes are nanoscale membrane particles that mediate intercellular communication by carrying various bioactive molecules, such as proteins, RNAs, DNA, and metabolites. The NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome is a cytosolic tripartite protein complex whose activation induces the maturation and secretion of proinflammatory cytokines interleukin-1β (IL-1β) and IL-18, triggering the inflammatory response to a pathogenic agent or injury. Growing evidence suggests that exosomes are new modulators of the NLRP3 inflammasome, with vital roles in the pathological process of UC. Here, recent evidence is reviewed on the role of exosomes and NLRP3 inflammasome in UC. First, the dual role of exosomes on NLRP3 inflammasome and the effect of NLRP3 inflammasome on exosome secretion are summarized. Finally, an outlook on the directions of exosome-NLRP3 inflammasome crosstalk research in the context of UC is proposed and areas of further research on this topic are highlighted.

Common mechanisms of Wumei pills in treating ulcerative colitis and type 2 diabetes: Exploring an integrative approach through network pharmacology

Wumei pills (WMP), a classical Chinese herbal formula, have shown efficacy in the treatment of ulcerative colitis (UC) and type 2 diabetes (T2DM). However, the underlying mechanisms by which WMP simultaneously targets these distinct diseases remain unclear. In this study, a network pharmacology approach was employed to unravel the potential molecular mechanisms of WMP in UC and T2DM treatment. This analysis provides a bioinformatics foundation for the traditional Chinese medicine concept of "treating different diseases with the same treatment." WMP was found to contain 65 active components, including flavonoids, sterols, and alkaloids, that act on 228 shared targets for UC and T2DM. Network analysis identified 5 core compounds (Quercetin, Kaempferol, beta-Sitosterol, Isocorypalmine, Stigmasterol) and 8 core proteins (AKT1, ESR1, TP53, IL6, JUN, MYC, TNF, EGFR) that play pivotal roles in the treatment of UC and T2DM by WMP. WMP exerts its therapeutic effects by modulating signaling pathways, including the NF-κB pathway, PI3K-Akt pathway, and p53 pathway. Molecular docking results indicate a strong binding affinity between core compounds and core genes. This study bridges the understanding of 2 diseases using network pharmacology and provides insights into shared therapeutic mechanisms, opening doors for further research in modern Chinese herbal formulations.

Research hotspots and trends of artificial intelligence in rheumatoid arthritis: A bibliometric and visualized study

Artificial intelligence (AI) applications on rheumatoid arthritis (RA) are becoming increasingly popular. In this bibliometric study, we aimed to analyze the characteristics of publications relevant to the research of AI in RA, thereby developing a thorough overview of this research topic. Web of Science was used to retrieve publications on the application of AI in RA from 2003 to 2022. Bibliometric analysis and visualization were performed using Microsoft Excel (2019), R software (4.2.2) and VOSviewer (1.6.18). The overall distribution of yearly outputs, leading countries, top institutions and authors, active journals, co-cited references and keywords were analyzed. A total of 859 relevant articles were identified in the Web of Science with an increasing trend. USA and China were the leading countries in this field, accounting for 71.59% of publications in total. Harvard University was the most influential institution. Arthritis Research & Therapy was the most active journal. Primary topics in this field focused on estimating the risk of developing RA, diagnosing RA using sensor, clinical, imaging and omics data, identifying the phenotype of RA patients using electronic health records, predicting treatment response, tracking the progression of the disease and predicting prognosis and developing new drugs. Machine learning and deep learning algorithms were the recent research hotspots and trends in this field. AI has potential applications in various fields of RA, including the risk assessment, screening, early diagnosis, monitoring, prognosis determination, achieving optimal therapeutic outcomes and new drug development for RA patients. Incorporating machine learning and deep learning algorithms into real-world clinical practice will be a future research hotspot and trend for AI in RA. Extensive collaboration to improve model maturity and robustness will be a critical step in the advancement of AI in healthcare.

Application of network pharmacology in the study of mechanism of Chinese medicine in the treatment of ulcerative colitis: A review

Network pharmacology is a research method based on a multidisciplinary holistic analysis of biological systems, which coincides with the idea of the holistic view of traditional Chinese medicine. In this review, we summarized the use of network pharmacology technology through studying Chinese medicine single medicine or Chinese medicine compound research ideas and methods for the treatment of ulcerative colitis, based on the application of the current network pharmacology in Chinese medicine research, including the important role in the mechanism of the prediction and verification, to search for new ideas for disease diagnosis and treatment, this study summarizes the application of network pharmacology in the treatment of ulcerative colitis in traditional Chinese medicine, including monotherapy and compound therapy, and considers that relevant research studies have fully demonstrated the function characteristics of the multi-component, multi-target, and multi-pathway of traditional Chinese medicine, and can also explain the connotation of “selecting appropriate treatment methods according to the differences and similarities of pathogenesis” of traditional Chinese medicine. Finally, we raised important questions about the prospects and limitations of network pharmacology, such as differences caused by different data collection methods, a considerable lag, and so on.

Wumei Pill Ameliorates AOM/DSS-Induced Colitis-Associated Colon Cancer through Inhibition of Inflammation and Oxidative Stress by Regulating S-Adenosylhomocysteine Hydrolase- (AHCY-) Mediated Hedgehog Signaling in Mice

Wumei Pill (WMP) is a traditional Chinese herbal formulation and widely used to treat digestive system diseases in clinical. S-Adenosylhomocysteine hydrolase (AHCY) can catalyze the hydrolysis of S-adenosylhomocysteine to adenosine and homocysteine in living organisms, and its abnormal expression is linked to the pathogenesis of many diseases including colorectal cancer (CRC). A previous study reported that WMP could prevent CRC in mice; however, the underlying mechanisms especially the roles of AHCY in WMP-induced anti-CRC remain largely unknown. Here, we investigated the regulatory roles and potential mechanisms of AHCY in WMP-induced anti-CRC. WMP notably alleviated the azoxymethane/dextran sulfate sodium- (AOM/DSS-) induced colitis-associated colon cancer (CAC) in mice. Besides, WMP inhibited the inflammation and oxidative stress in AOM/DSS-induced CAC mice. AHCY was high expression in clinical samples of colon cancer compared to the adjacent tissues. WMP inhibited the AHCY expression in AOM/DSS-induced CAC mice. An in vitro study found that AHCY overexpression induced cell proliferation, colony formation, invasion, and tumor angiogenesis, whereas its knockdown impaired its oncogenic function. AHCY overexpression enhanced, while its knockdown weakened the inflammation and oxidative stress in colon cancer cells. Interestingly, WMP potently suppressed the hedgehog (Hh) signaling in AOM/DSS-induced CAC mice. A further study showed that AHCY overexpression activated the Hh signaling while AHCY knockdown inactivated the Hh signaling. Moreover, activation of the Hh signaling reversed the effect of AHCY silencing on inflammation and oxidative stress in vitro. In conclusion, WMP alleviated the AOM/DSS-induced CAC through inhibition of inflammation and oxidative stress by regulating AHCY-mediated hedgehog signaling in mice. These findings uncovered a potential molecular mechanism underlying the anti-CAC effect of WMP and suggested WMP as a promising therapeutic candidate for CRC.

Molecular Mechanism of the Effect of Zhizhu Pill on Gastroesophageal Reflux Disease Based on Network Pharmacology and Molecular Docking

Background

To investigate the pharmacological mechanism of Zhizhu pill (ZZP) against gastroesophageal reflux disease (GERD), network pharmacology in combination with molecular docking was applied in this study.

Methods

Active compounds of ZZP and target genes related to GERD were identified through public databases. Subsequently, the obtained data were used as a basis for further network pharmacological analysis to explore the potential key active compounds, core targets, and biological processes involved in ZZP against GERD. Finally, the results predicted by network pharmacology were validated by molecular docking.

Results

Twenty active components of ZZP were identified to act on 59 targets related to GERD. Enrichment analysis revealed that multiple biological processes including response to oxygen levels, response to oxidative stress, and response to reactive oxygen species were involved in the GERD ZZP treatment with ZZP. ZZP had an impact on the prognosis of GERD mainly through the HIF-1 signaling pathway, PI3K-Akt signaling pathway, and pathways in cancer. Further analysis identified the key components and core targets of ZZP against GERD, of which nobiletin, didymin, luteolin, and naringenin were key components, and PPARG, MMP9, JUN, TP53, PTGS2, EGFR, MAPK3, CASP3, AKT1, and VEGFA were the core targets. Molecular docking verified the stable bonds formed between the key components and the core targets.

Conclusions

The results of this study predict that the therapeutic effects of ZZP in GERD are mediated at least in part via PPARG, MMP9, JUN, TP53, PTGS2, EGFR, MAPK3, CASP3, AKT1, and VEGFA. These results may be useful in providing an experimental basis and new ideas for further research on ZZP in GERD.