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Network Pharmacology Was Used to Predict the Active Components and Prospective Targets of Paeoniae Radix Alba for Treatment in Endometriosis

  • General Gynecology: Original Article
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A Correction to this article was published on 02 February 2024

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Abstract

Endometriosis is one of the most common benign gynecologic diseases. Paeoniae Radix Alba (PRA) has been utilized to treat endometriosis. We wished to identify potential targets for PRA in the treatment of endometriosis, as well as to provide a groundwork for future studies into its pharmacological mechanism of action. Network pharmacology was employed to conduct investigations on PRA. Target proteins were chosen from the components of PRA for endometriosis treatment. A protein–protein interaction (PPI) was established using overlapping genes. Analyses of enrichment of function and signaling pathways were undertaken using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes databases to select “hub genes.” Finally, the feasibility of analysis based on network pharmacology was determined using real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blotting. We demonstrated that PRA has 25 bioactive components and 167 putative targets that are therapeutically important. The anti-inflammatory and immune-boosting actions of tumor necrosis factor, albumin, signal transducer and activator of transcription (STAT)3, mitogen-activated protein kinase, Jun, interleukin (IL)-1B, prostaglandin-endoperoxide synthase 2, matrix metalloproteinase-9, vascular endothelial growth factor A, and IL-6 were identified as prospective targets. Seven major compounds in PRA and related to the STAT3 pathway could bind spontaneously to it. RT-qPCR and western blotting showed that expression of STAT3 and phospho-STAT3 was reduced significantly after PRA intervention. Hence, analyses of the active components of traditional Chinese medicine formulations through network pharmacology may open up new ideas for the treatment of diseases.

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Funding

This work was supported by Hainan Key Program of Research and Development (ZDYF2019123), the National Natural Science Foundation of China (82160549), and Hainan Province Clinical Medical Center.

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Authors and Affiliations

  1. Department of Gynecology and Obstetrics of Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, China

    Yuting Sun & Shan Bao

  2. Medical Laboratory Center, Hainan General Hospital, Hainan Medical University, Haikou, 570102, China

    Junhong Cai

  3. Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital, Hainan Medical University, Haikou, 570102, China

    Shun Ding

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  1. Yuting Sun
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SB conceived and designed the study and experiments. YT S, SD, and JC collected the data. YT S designed the experiments and drafted the manuscript. All authors approved the final version of the manuscript.

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Correspondence to Shan Bao.

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Sun, Y., Cai, J., Ding, S. et al. Network Pharmacology Was Used to Predict the Active Components and Prospective Targets of Paeoniae Radix Alba for Treatment in Endometriosis. Reprod. Sci. 30, 1103–1117 (2023). https://doi.org/10.1007/s43032-022-01102-x

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