Dataset Information

Network pharmacology analysis of a patented Chinese herbal medicine for alleviating anxiety disorder in in vitro fertilization-embryo transfer.

ABSTRACT:

Objective

Qu's formula 3 (QUF3) is a patented Chinese herbal medicine used to alleviate anxiety disorders during in vitro fertilization-embryo transfer (IVF-ET). This study aimed to identify the potential active constituents and molecular mechanisms of action of QUF3 in alleviating anxiety disorders during IVF-ET.

Methods

The active constituents of QUF3 were identified from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and literatures. Potential targets of anxiety disorder and IVF-ET were identified using GeneCards, Online Mendelian Inheritance in Man, and the UniProt Database. Protein-protein interaction (PPI) network, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify the potential mechanisms. Molecular docking and molecular dynamics (MD) simulations were performed to visualize and verify the results.

Results

Quercetin, sophoranol, luteolin, kaempferol, and neurotoxin inhibitors were identified as the TOP 5 active constituents of QUF3. Forty common targets were shared among QUF3, anxiety disorders, and IVF-ET. Tumour necrosis factor, interleukin-6, vascular endothelial growth factor A, epidermal growth factor, interleukin-1B, cellular tumour antigen p53, matrix metalloproteinase-9, and oestrogen receptor were identified as the TOP 8 potential targets through PPI analysis. A total of 697 biological processes, 20 cellular components, and 54 molecular functions were identified. Further, 91 KEGG pathways were revealed to be enriched. The TOP 5 active constituents were verified to have good binding activity with the TOP 8 potential targets using molecular docking and MD simulations.

Conclusions

The mechanism of QUF3 in alleviating anxiety disorders in patients undergoing IVF-ET may be related to the interleukin-17 and tumour necrosis factor signalling pathways, inhibiting inflammatory responses and antioxidants, which may provide a solid foundation for the clinical application and further study of QUF3.

SUBMITTER: Liu C

PROVIDER: S-EPMC10927379 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Network pharmacology analysis of a patented Chinese herbal medicine for alleviating anxiety disorder in in vitro fertilization-embryo transfer.

Liu Chang C Hu Weihuan W Feng Xiaoling X Qu Fan F

Journal of traditional and complementary medicine 20231102 2

<h4>Objective</h4>Qu's formula 3 (QUF3) is a patented Chinese herbal medicine used to alleviate anxiety disorders during in vitro fertilization-embryo transfer (IVF-ET). This study aimed to identify the potential active constituents and molecular mechanisms of action of QUF3 in alleviating anxiety disorders during IVF-ET.<h4>Methods</h4>The active constituents of QUF3 were identified from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and literatures. Potent ...[more]

PMID: 38481549

Similar Datasets

Project description:ObjectiveEndometriosis is a common benign disease in women of reproductive age. Qu's formula (QUF) is a patented Chinese herbal medicine for treating endometriosis that has been proven to be effective in treating and preventing the recurrence of endometriosis. This study is aimed to discover its molecular mechanism and to explore the potential drug targets.MethodsA QUF target and endometriosis-related gene set was identified by the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) databases and five disease-gene databases. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed, and a protein-protein interaction (PPI) network was established to discover the potential mechanism. MalaCards was searched for targets and signaling pathways related to endometriosis, and the search results were also used to identify the key factors in QUF. Molecular docking was performed to visualize the interactions between the effective molecules and proteins encoded by critical genes. Cell experiments and molecular dynamics (MD) simulations were used to further validate the therapeutic effects of the active compounds in QUF on endometriosis.ResultsA compound-target network with 117 nodes (94 genes and 23 active compounds) and 224 edges was generated. The results of GO and KEGG analyses indicated that QUF could act by regulating the immune response, apoptosis and proliferation, oxidative stress, and angiogenesis. VEGFA, CXCL8, CCL2, IL1B and PTGS2 were selected for molecular docking analysis from two critical subnetworks with high correlation scores in MalaCards, and the active compounds of QUF had binding potential and high affinity for them. The mRNA expression levels of CCL2, IL1B and PTGS2 significantly decreased after treatment with quercetin. MD simulations showed that the combinations of quercetin and these proteins were relatively stable.ConclusionThe network pharmacological strategy integrates molecular docking to unravel the molecular mechanism by which QUF protects against endometriosis. Our findings not only confirm the clinical effectiveness of QUF but also provide a foundation for further experimental study.

Project description:The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a global pandemic in 2019-coronavirus disease (COVID-19). More and more Western medicine (WM) and Chinese herbal medicine (CHM) treatments have been used to treat COVID-19 patients, especially among Asian populations. However, the interactions between WM and CHM have not been studied. This study aims at using the network pharmacology approach to explore the potential complementary effects among commonly used CHM and WM in a clinical setting from a biomolecular perspective. Three well-published and widely used CHM formulas (National Research Institute of Chinese Medicine 101 (NRICM101), Qing-Fei-Pai-Du-Tang (QFPDT), Hua-Shi-Bai-Du-Formula (HSBDF)) and six categories of WM (Dexamethasone, Janus kinase inhibitors (JAKi), Anti-Interleukin-6 (Anti-IL6), anticoagulants, non-vitamin K antagonist oral anticoagulants (NOAC), and Aspirin) were included in the network pharmacology analysis. The target proteins on which these CHM and WM had direct effects were acquired from the STITCH database, and the potential molecular pathways were found in the REACTOME database. The COVID-19-related target proteins were obtained from the TTD database. For the three CHM formulas, QFPDT covered the most proteins (714), and 27 of them were COVID-19-related, while HSBDF and NRICM101 covered 624 (24 COVID-19-related) and 568 (25 COVID-19-related) proteins, respectively. On the other hand, WM covered COVID-19-related proteins more precisely and seemed different from CHM. The network pharmacology showed CHM formulas affected several inflammation-related proteins for COVID-19, including IL-10, TNF-α, IL-6, TLR3, and IL-8, in which Dexamethasone and Aspirin covered only IL-10 and TNF-α. JAK and IL-6 receptors were only inhibited by WM. The molecular pathways covered by CHM and WM also seemed mutually exclusive. WM had advantages in cytokine signaling, while CHM had an add-on effect on innate and adaptive immunity, including neutrophil regulation. WM and CHM could be used together to strengthen the anti-inflammation effects for COVID-19 from different pathways, and the combination of WM and CHM may achieve more promising results. These findings warrant further clinical studies about CHM and WM use for COVID-19 and other diseases.

Project description:IntroductionThe infertile patient's knowledge, attitude, and practice (KAP) toward embryo transfer may affect treatment outcomes and the mental health of women who underwent in vitro fertilization-embryo transfer (IVF-ET). This study aimed to investigate the KAP of embryo transfer among women who underwent IVF-ET.MethodsThis cross-sectional study was conducted on women who underwent IVF-ET at our Hospital between May 2023 and November 2023, using a self-designed questionnaire.ResultsA total of 614 valid questionnaires were finally included. The mean KAP scores were 19.46 ± 5.06 (possible range: 0 28), 39.41 ± 5.20 (possible range: 12-60), and 48.02 ± 6.75 (possible range: 0-60), respectively. The structural equation model demonstrated that knowledge has a direct effect on attitude (β = 0.27, p < 0.001) and attitude has a direct effect on practice (β = 0.55, p < 0.001) and anxiety (β = 0.59, p < 0.001). Moreover, multivariable linear regression analysis showed that anxiety score [coefficient = 0.09, 95% confidence interval (CI): 0.03-0.16, p = 0.003], BMI (coefficient = 0.09, 95%CI: 0.03-0.16, p = 0.003), education (coefficient = 5.65-6.17, 95%CI: 1.09-10.7, p < 0.05), monthly per capita income (coefficient = 1.20-1.96, 95% CI: 0.21-3.07, p = 0.05), reasons for IVF (coefficient = -1.33-1.19, 95% CI: -2.49-0.09, p < 0.05), and more than 5 years of infertility (coefficient = -1.12, 95% CI: -2.11-0.13, p = 0.026) were independently associated with sufficient knowledge. Knowledge (coefficient = 0.19, 95% CI: 0.12-0.26, p < 0.001), anxiety (coefficient = 0.39, 95% CI: 0.34-0.45, p < 0.001), monthly per capita household income >10,000 (coefficient = 1.52, 95% CI: 0.61-2.43, p < 0.001), and three or more cycles of embryo transfer (coefficient = -2.69, 95% CI: -3.94-1.43, p < 0.001) were independently associated with active attitude. Furthermore, attitude (coefficient = 0.21, 95% CI: 0.11-0.30, p < 0.001) and anxiety (coefficient = 0.57, 95% CI: 0.49-0.65, p < 0.001) were independently associated with proactive practice.DiscussionWomen who underwent IVF-ET had inadequate knowledge and negative attitudes but proactive practice toward embryo transfer, which were affected by anxiety, income, and reasons for IVF. It is necessary to strengthen the continuous improvement of patient education to improve the management of embryo transfer.

Dataset Information

Network pharmacology analysis of a patented Chinese herbal medicine for alleviating anxiety disorder in in vitro fertilization-embryo transfer.

Objective

Methods

Results

Conclusions

Publications

Network pharmacology analysis of a patented Chinese herbal medicine for alleviating anxiety disorder in in vitro fertilization-embryo transfer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets