Acupoint Selection Patterns and Potential Mechanisms of Acupuncture in Knee Osteoarthritis: A Combined Data Mining and Network Pharmacology Study

Danning Zhang, Shuangxin Yang, Xingxing Lin, Kaixuan Zhang, Baoqiang Dong · 2026

Read Acupoint Selection Patterns and Potential Mechanisms of Acupuncture in Knee Osteoarthritis: A Combined Data Mining and Network Pharmacology Study by Danning Zhang, Shuangxin Yang, Xingxing Lin, Kaixuan Zhang, Baoqiang Dong (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13546060.txt.

Description

Danning Zhang and co-authors mine in 2026 hundreds of published acupuncture trials to find the point recipes that knee osteoarthritis care keeps returning to. Needle point choice is traditional and varied, so the team let data speak: frequency counts, association rules, and network analysis over more than five hundred studies and their prescriptions.

A core set of about two dozen points emerged, anchored by classic knee points below and around the joint. Four points stayed central at every arthritis grade. Mild cases leaned on local points near the knee. Worse grades shifted weight toward one anchor point and added more far away points on the limbs. The study then asks how the core recipe might work in the body, intersecting its predicted protein targets with disease genes and mapping the shared network. Grade aware point selection is the practical takeaway for clinicians.

Catalog record

CREATORDanning Zhang, Shuangxin Yang, Xingxing Lin, Kaixuan Zhang, Baoqiang Dong
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE53 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13546060

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