A Network Pharmacology Approach to Reveal the Underlying Mechanisms of Zuogui Yin in the Treatment of Male Infertility

Systematic Investigation of Metabolism and Potential Pharmacological Mechanism of Tanreqing Injection to Human Lower Respiratory Tract Infection Based on UPLC-Q-TOF-MSE and Network Pharmacology

Tanreqing injection (TRQI), a well-known traditional Chinese medicine, has a marked curative effect on lower respiratory tract infections. A strategy using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MSE) for rapid identification of metabolites from TRQI was proposed by UNIFI informatics platform combined with multiple data processing techniques. Target prediction was then performed based on the original compounds in vivo, and a network between the active compounds and common targets was established using Cytoscape v3.9.0. As a result, 64 original compounds were characterized in TRQI, and 54 original compounds and 76 metabolites of TRQI were detected in human plasma and urine, two of which (M28 and M45) were novel metabolites. A novel metabolic pathway for lonicerin was identified. The compound-target-pathway network identified 22 target genes and 20 signaling pathways that were linked to these mechanisms. The key mechanism is related to the JAK-STAT signaling pathway and PI3K-Akt signaling pathway. The bioactive ingredients and mechanisms of action of TQRI against lower respiratory tract infections based on original compounds in vivo were explored through network pharmacology and molecular docking. This is the first study in which the mechanism of action of TRQI in humans has been clarified.

Zuogui pills ameliorate chemotherapy-induced ovarian aging by improving stemness, regulating cell cycle and reducing apoptosis of oogonial stem cells via the Notch1/Nrf2 pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Zuogui Pills (ZGP) is a classic traditional Chinese herbal formula originating from the Ming Dynasty. It has been widely used in the treatment of kidney deficiency-related diseases, including ovarian aging.

AIM OF THE STUDY

To investigate the effects and potential mechanisms of ZGP on ovarian aging induced by the chemotherapeutic agent cyclophosphamide (CTX), as well as its impact on the therapeutic target, oogonial stem cells (OSCs), involving the Notch1/nuclear factor erythroid 2-related factor 2 (Nrf2) pathway.

MATERIALS AND METHODS

This study utilized High-Performance Liquid Chromatography (HPLC) to analyze the active components of Zuogui Pills (ZGP). In vivo experiments involved the establishment of an ovarian aging model in female rats through intraperitoneal injection of CTX, followed by an 8-week treatment with ZGP and dehydroepiandrosterone (DHEA). The Notch pathway inhibitor DAPT was administered via intraperitoneal injection, followed by ZGP intervention to validate its therapeutic effects. Transcriptomic sequencing was used to analyze the differential genes before and after ZGP treatment of CTX-induced ovarian aging, and KEGG and GO analyses were applied to assess the changes in relevant signaling pathways and biological processes. In vitro experiments included the extraction, separation, and purification of ovarian germ stem cells, followed by transfection with a Notch1 overexpression plasmid. The CTX active component 4-Hydroxycyclophosphamide (4HC) was used for model intervention, and ZGP, DHEA-containing serum, and DAPT were applied to intervene with the oogonial stem cells. The effects of CTX modeling, the therapeutic efficacy of ZGP, and the general condition of the rats were observed. H&E staining was employed to assess ovarian morphology and follicle counting at various stages. Serum hormone levels were measured using ELISA, while qPCR, Western blot, flow cytometry, immunofluorescence, and IHC were utilized to analyze the expression of the Notch1/Nrf2 pathway, cell cycle proteins, and stemness-related indicators. Flow cytometry, TUNEL fluorescence, and CCK8 assays were conducted to evaluate changes in cell cycle composition, apoptosis, and proliferation. Finally, ChIP-qPCR was employed to validate the transcriptional regulation of the target gene NFE2L2 by Notch1.

RESULTS

ZGP improved serum sex hormones in ovarian aging rats, enhanced ovarian index, and optimized ovarian and uterine morphology, as well as follicle quantity composition. After transcriptome sequencing, KEGG analysis enriched the Notch signaling pathway and cell cycle, while GO analysis highlighted enrichment in the Notch pathway and stem cell population maintenance. Various experiments validated that ZGP significantly improved the expression of cell cycle-related proteins Cyclin D1 (CCND1), Cyclin E1 (CCNE1), cyclin-dependent kinase inhibitor 1a (CDKN1A), stemness markers Mouse Vasa Homolog (MVH), Octamer-binding Transcription Factor 4 (Oct4), Fragilis, 5-Bromo-2'-deoxyuridine (BrdU), as well as Notch1 and Nrf2 in aging ovarian tissues and OSCs. Additionally, ZGP promoted the proliferation of 4HC-damaged OSCs, optimized OSCs cell cycle composition, reduced G0/G1 phase arrest, and decreased early and late apoptosis. ZGP could reverse the detrimental effects on stemness and cell cycle of OSCs caused by blocking the Notch pathway. Furthermore, ZGP may activate the regulation of its target gene NFE2L2 by upregulating Notch1 expression in OSCs, thereby exerting therapeutic effects.

CONCLUSION

ZGP protects ovarian function in CTX-induced ovarian aging rats by regulating the Notch1/Nrf2 pathway. It restores serum sex hormone levels, maintains normal follicle development, promotes the proliferation of aged OSCs, optimizes the cell cycle, reduces apoptosis, and preserves stemness, thereby alleviating ovarian aging.

Mechanism of Zuogui pill enhancing ovarian function and skin elastic repair in premature aging rats based on artificial intelligence medical image analysis

BACKGROUND

AI medical image analysis shows potential applications in research on premature aging and skin. The purpose of this study was to explore the mechanism of the Zuogui pill based on artificial intelligence medical image analysis on ovarian function enhancement and skin elasticity repair in rats with premature aging.

MATERIALS AND METHODS

The premature aging rat model was established by using an experimental animal model. Then Zuogui pills were injected into the rats with premature aging, and the images were detected by an optical microscope. Then, through the analysis of artificial intelligence medical images, the image data is analyzed to evaluate the indicators of ovarian function.

RESULTS

Through optical microscope image detection, we observed that the Zuogui pill played an active role in repairing ovarian tissue structure and increasing the number of follicles in mice, and Zuogui pill also significantly increased the level of progesterone in the blood of mice.

CONCLUSION

Most of the ZGP-induced outcomes are significantly dose-dependent.

Exploring potential pharmacological mechanisms of Yiqi Tuomin Decoction in the treatment of allergic rhinitis utilizing network pharmacology prediction and molecular docking-based strategies: experimental research

Yiqi Tuomin Decoction (YTD), which originated from the theory of lung deficiency and cold in Chinese medicine, is a common Chinese herbal formula used against allergic rhinitis (AR). In our otolaryngology department, this prescription has been used to treat so many AR patients with lung-deficiency-related colds for nearly 30 years. However, the mechanism of its ingredient-target is still unclear. Based on our early experiments and clinical case studies, in this paper, we explore the mechanism of YTD systematically against AR using bioinformatic methods of network pharmacology and molecular docking.

Methods

The Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was used to screen the active ingredients and targets of YTD. The AR-related targets were retrieved from OMIM, GeneCards, TTD, DisGeNET, DrugBank databases, and PharmGKB. The Venn database was used to screen the potential core targets. After that, the STRING database was used to construct the protein-protein interaction (PPI) of the core targets and then visualize it by Cytoscape. The Gene Ontology (GO)-enriched processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the core targets were analyzed by the KOBAS-I database and Sangerbox. Molecular docking was used to assess interactions between potential targets and active ingredients.

Results

A total of 169 active ingredients and 238 targets of YTD were predicted. YTD shared 115 common targets with AR from the Venn database. The GO-enriched processes and KEGG pathways indicate that genes involved in inflammation and oxidative stress, accompanying the MAPK signaling pathway, Th17 cell differentiation, IL-17 signaling pathway, and Th1 and Th2 cell differentiation, may play a mediated effect in YTD. The docking results showed good binding ability between the active ingredients and the selected targets.

Conclusions

Our study systematically indicated the underlying mechanism of YTD against AR from the perspective of bioinformatics. By studying the active ingredients of YTD, we obtained molecular mechanisms and established a reliable method and molecular theoretical basis for the sensible development of Chinese medicine in the treatment of AR.

Exploring the mechanisms of Gui Zhi Fu Ling Wan on varicocele via network pharmacology and molecular docking

Varicocele (VC) is a common urogenital disease that leads to a high risk of testicular pain or male infertility. The purpose of this research was to explore the molecular mechanism of the Gui Zhi Fu Ling Wan (GFW) in the treatment of VC. The main active ingredients and targets information of GFW were screened by Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, and the targets related to VC were determined by GeneCards, Online Mendelian Inheritance in Man (OMIM), and Disease Gene Network (DisGeNET) databases. The intersection of active ingredient targets and disease targets was selected to construct a protein-protein interaction (PPI) network through the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Based on the use of CytoNCA plug-in to find the main targets, a 'component-target-disease' network was constructed by Cytoscape 3.8.2. Metascape was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of drug and disease targets. Molecular docking was employed to investigate the binding interaction between the main active components and core targets. A total of 76 active components of GFW were screened out. The main targets of the active components on VC were tumour protein p53 (TP53), tumour necrosis factor (TNF), hypoxia inducible factor 1 subunit alpha (HIF1A), interleukin-6 (IL-6), caspase 3 (CASP3), catalase (CAT), prostaglandin-endoperoxide synthase 2 (PTGS2), vascular endothelial growth factor A (VEGFA). The PI3K-Akt signalling pathway, HIF-1 signalling pathway, and apoptosis signalling pathway were mainly involved in the regulation of VC. The results of molecular docking showed that the binding potential and activity of the main active components and the core targets of GFW were good. We found that GFW could alleviate apoptosis, participate in venous vessel morphogenesis, and reduce oxidative stress in the treatment of VC. This study can provide a reference for subsequent clinical and scientific research experiments, which can be used to design new drugs and develop new therapeutic instructions to treat VC.