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Related Experiment Video

Updated: Mar 24, 2026

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Core Acupoint Prescription Patterns for Primary Dysmenorrhea: Data Mining and Network-Based Analysis.

Tingyuan Yang1,2, Wanting Guo3, Chengwen Deng3

  • 1Institute of Acupuncture and Moxibustion, Jianghan University, Wuhan, Hubei, People's Republic of China.

Journal of Pain Research
|March 23, 2026
PubMed
Summary

Acupuncture for primary dysmenorrhea (PD) consistently uses acupoints SP6, CV4, and SP8. Network analysis reveals these points target inflammation and hormone pathways, offering insights into PD mechanisms.

Keywords:
acupuncture therapycore acupoint prescriptionsdata miningmechanism predictionnetwork acupunctureprimary dysmenorrhea

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Area of Science:

  • Integrative Medicine
  • Computational Biology
  • Pharmacology

Background:

  • Primary dysmenorrhea (PD) is a common gynecological condition characterized by painful menstruation.
  • Current treatments for PD have limitations, necessitating exploration of alternative therapeutic strategies.
  • Acupuncture has shown promise in managing PD, but its core acupoint prescriptions and underlying mechanisms require further elucidation.

Purpose of the Study:

  • To identify core acupoint prescription patterns for PD using data mining techniques.
  • To generate hypothesis-level mechanistic insights into acupuncture's effects on PD through network-based analysis.

Main Methods:

  • Systematic literature search of nine databases for clinical studies on acupuncture for PD.
  • Frequency analysis and Apriori algorithm for identifying common acupoints and combinations.
  • Network pharmacology approach using STITCH and SwissTargetPrediction to identify bioactive compounds and targets.
  • Protein-protein interaction (PPI) network construction and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.

Main Results:

  • Analysis of 177 articles identified 124 unique effective prescriptions involving 66 acupoints.
  • Sanyinjiao (SP6), Guanyuan (CV4), and Diji (SP8) were the most frequently used acupoints.
  • The core combination SP6-CV4-SP8 was identified, linked to 29 active compounds and 640 potential targets.
  • Enrichment analyses highlighted inflammation, hormone, and pain pathways, including PI3K-Akt, cAMP, and AGE-RAGE signaling.

Conclusions:

  • Acupuncture prescriptions for PD exhibit consistent core patterns, notably SP6-CV4-SP8.
  • Network analysis provides mechanistic hypotheses involving inflammation, hormonal regulation, and neuroendocrine-immune signaling.
  • Findings support further experimental validation of identified targets and pathways for optimizing PD acupuncture treatment.