Exploring the Mechanism of Yiwei Decoction in the Intervention of a Premature Ovarian Insufficiency Rat Based on Network Pharmacology and the miRNA-mRNA Regulatory Network

Objective: our aim is to explore the mechanism of action of Yiwei decoction (YWD) in addressing premature ovarian insufficiency (POI) through a combination of transcriptomics and network pharmacology. By doing so, we hope to identify important pathways of action, key targets, and active components that contribute to the efficacy of YWD. Materials and Methods: group A comprised of the model + traditional Chinese medicine group, while group B was the model control group and group C was the normal control group. After gavage, serum AMH and E2 levels were measured by using ELISA. HE staining was used to study the impact of YWD on ovarian follicle recovery in POI rats. Additionally, RNA-seq sequencing technology was employed to analyze the transcription levels of mRNAs and miRNAs in the ovarian tissues of each group, and the resulting data were examined using R. YWD used UPLC-Q-TOF-HRMS to analyze its active ingredients. Upon obtaining the sequencing results, the miRWalk database was utilized to forecast the targets of DEmiRNAs. Network pharmacology was then applied to predict the targets of active ingredients present in YWD, ultimately constructing a regulatory network consisting of active ingredients-mRNA-miRNA. The coexpression relationship between mRNAs and miRNAs was calculated using the Pearson correlation coefficient, and high correlation coefficients between miRNA-mRNA were confirmed through miRanda sequence combination. Results: the application of YWD resulted in improved serum levels of AMH and E2, as well as an increased number of ovarian follicles in rats with POI. However, there was a minimal impact on the infiltration of ovarian lymphocytes. Through GSEA pathway enrichment analysis, we found that YWD may have a regulatory effect on PI3K-Akt, ovarian steroidogenesis, and protein digestion and absorption, which could aid in the treatment of POI. Additionally, our research discovered a total of 6 DEmiRNAs between groups A and B, including 2 new DEmiRNAs. YWD contains 111 active compounds, and our analysis of the active component-mRNA regulatory network revealed 27 active components and 73 mRNAs. Furthermore, the coexpression network included 5 miRNAs and 18 mRNAs. Our verification of MiRanda binding demonstrated that 12 of the sequence binding sites were stable. Conclusions: our research has uncovered the regulatory network mechanism of active ingredients, mRNA, and miRNA in YWD POI treatment. However, further research is needed to determine the effect of the active ingredients on key miRNAs and mRNAs

Exploring the Mechanism of Yiwei Decoction in the Intervention of a Premature Ovarian Insufficiency Rat Based on Network Pharmacology and the miRNA-mRNA Regulatory Network

Objective: our aim is to explore the mechanism of action of Yiwei decoction (YWD) in addressing premature ovarian insufficiency (POI) through a combination of transcriptomics and network pharmacology. By doing so, we hope to identify important pathways of action, key targets, and active components that contribute to the efficacy of YWD. Materials and Methods: group A comprised of the model + traditional Chinese medicine group, while group B was the model control group and group C was the normal control group. After gavage, serum AMH and E2 levels were measured by using ELISA. HE staining was used to study the impact of YWD on ovarian follicle recovery in POI rats. Additionally, RNA-seq sequencing technology was employed to analyze the transcription levels of mRNAs and miRNAs in the ovarian tissues of each group, and the resulting data were examined using R. YWD used UPLC-Q-TOF-HRMS to analyze its active ingredients. Upon obtaining the sequencing results, the miRWalk database was utilized to forecast the targets of DEmiRNAs. Network pharmacology was then applied to predict the targets of active ingredients present in YWD, ultimately constructing a regulatory network consisting of active ingredients-mRNA-miRNA. The coexpression relationship between mRNAs and miRNAs was calculated using the Pearson correlation coefficient, and high correlation coefficients between miRNA-mRNA were confirmed through miRanda sequence combination. Results: the application of YWD resulted in improved serum levels of AMH and E2, as well as an increased number of ovarian follicles in rats with POI. However, there was a minimal impact on the infiltration of ovarian lymphocytes. Through GSEA pathway enrichment analysis, we found that YWD may have a regulatory effect on PI3K-Akt, ovarian steroidogenesis, and protein digestion and absorption, which could aid in the treatment of POI. Additionally, our research discovered a total of 6 DEmiRNAs between groups A and B, including 2 new DEmiRNAs. YWD contains 111 active compounds, and our analysis of the active component-mRNA regulatory network revealed 27 active components and 73 mRNAs. Furthermore, the coexpression network included 5 miRNAs and 18 mRNAs. Our verification of MiRanda binding demonstrated that 12 of the sequence binding sites were stable. Conclusions: our research has uncovered the regulatory network mechanism of active ingredients, mRNA, and miRNA in YWD POI treatment. However, further research is needed to determine the effect of the active ingredients on key miRNAs and mRNAs

Exploring the Mechanism of Yiwei Decoction in the Intervention of a Premature Ovarian Insufficiency Rat Based on Network Pharmacology and the miRNA-mRNA Regulatory Network

Objective: our aim is to explore the mechanism of action of Yiwei decoction (YWD) in addressing premature ovarian insufficiency (POI) through a combination of transcriptomics and network pharmacology. By doing so, we hope to identify important pathways of action, key targets, and active components that contribute to the efficacy of YWD. Materials and Methods: group A comprised of the model + traditional Chinese medicine group, while group B was the model control group and group C was the normal control group. After gavage, serum AMH and E2 levels were measured by using ELISA. HE staining was used to study the impact of YWD on ovarian follicle recovery in POI rats. Additionally, RNA-seq sequencing technology was employed to analyze the transcription levels of mRNAs and miRNAs in the ovarian tissues of each group, and the resulting data were examined using R. YWD used UPLC-Q-TOF-HRMS to analyze its active ingredients. Upon obtaining the sequencing results, the miRWalk database was utilized to forecast the targets of DEmiRNAs. Network pharmacology was then applied to predict the targets of active ingredients present in YWD, ultimately constructing a regulatory network consisting of active ingredients-mRNA-miRNA. The coexpression relationship between mRNAs and miRNAs was calculated using the Pearson correlation coefficient, and high correlation coefficients between miRNA-mRNA were confirmed through miRanda sequence combination. Results: the application of YWD resulted in improved serum levels of AMH and E2, as well as an increased number of ovarian follicles in rats with POI. However, there was a minimal impact on the infiltration of ovarian lymphocytes. Through GSEA pathway enrichment analysis, we found that YWD may have a regulatory effect on PI3K-Akt, ovarian steroidogenesis, and protein digestion and absorption, which could aid in the treatment of POI. Additionally, our research discovered a total of 6 DEmiRNAs between groups A and B, including 2 new DEmiRNAs. YWD contains 111 active compounds, and our analysis of the active component-mRNA regulatory network revealed 27 active components and 73 mRNAs. Furthermore, the coexpression network included 5 miRNAs and 18 mRNAs. Our verification of MiRanda binding demonstrated that 12 of the sequence binding sites were stable. Conclusions: our research has uncovered the regulatory network mechanism of active ingredients, mRNA, and miRNA in YWD POI treatment. However, further research is needed to determine the effect of the active ingredients on key miRNAs and mRNAs