Mechanism of core acupoints of acupuncture for polycystic ovary syndrome based on data mining and network acupuncture medicine.
10.13703/j.0255-2930.20240920-k0003
- Author:
Xinye GAO
1
;
Qianhan LIU
2
;
Yifei WANG
2
;
Tingyuan YANG
3
;
Wenci ZHANG
2
;
Can LIU
2
;
Shuxiu ZHU
1
;
Lei ZHANG
1
Author Information
1. Institute of Acupuncture and Moxibustion, Jianghan University, Wuhan 430056, Hubei Province, China; School of TCM, Medical College of Jianghan University, Wuhan 430056, Hubei Province.
2. School of TCM, Medical College of Jianghan University, Wuhan 430056, Hubei Province.
3. First Clinical Medical College, Yunnan University of CM.
- Publication Type:Journal Article
- Keywords:
acupuncture;
data mining;
mechanism prediction;
network acupuncture medicine;
polycystic ovary syndrome (PCOS)
- MeSH:
Humans;
Acupuncture Therapy;
Data Mining;
Acupuncture Points;
Polycystic Ovary Syndrome/metabolism*;
Female;
Protein Interaction Maps;
Randomized Controlled Trials as Topic
- From:
Chinese Acupuncture & Moxibustion
2025;45(12):1846-1858
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine.
METHODS:The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms.
RESULTS:A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity.
CONCLUSION:The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
