Effective Treatment of Knee Osteoarthritis Using a Nano‐Enabled Drug Acupuncture Technology in Mice

Abstract: A nano‐enabled drug delivery acupuncture technology (nd‐Acu) is developed that is based on traditional acupuncture needles where the stainless‐steel surface is designed to deliver various payload molecules. To create the nd‐Acu platform, an electrochemistry procedure is used to attach methyl salicylate‐modified cyclodextrin in which the sugar rings allow the encapsulation of structurally defined single or multiple payload molecules via an inclusion complexation process. Drug loading and release profile are first studied using fluorescent dyes abiotically and at intact animal level. nd‐Acu allows more efficient dye loading and time‐dependent release compared to pristine needles without cyclodextrin modification. Subsequently, a proof‐of‐principle efficacy study is conducted using the platform to load a local anesthetic, lidocaine, for the treatment of knee osteoarthritis (KOA) in mice. It is demonstrated that lidocaine‐laden nd‐Acu can effectively alleviate pain, reduce inflammation, and slow down KOA development biochemically and histologically. Hypothesis‐driven and proteomic approaches are utilized to investigate the working mechanisms of lidocaine nd‐Acu, indicating that the therapeutic outcome is attributed to the in vivo modulation of the HMGB1/TLR4 signaling pathway. The study also obtained preliminary evidence suggesting the involvement of mitochondria as well as small GTPase such as cdc42 during the treatment by lidocaine nd‐Acu.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Effective Treatment of Knee Osteoarthritis Using a Nano‐Enabled Drug Acupuncture Technology in Mice ; day:09 ; month:08 ; year:2023 ; extent:14
Advanced science ; (09.08.2023) (gesamt 14)

Urheber
Xu, Wenjie
Xiao, Yu
Zhao, Minzhi
Zhu, Jiahui
Wang, Yu
Wang, Wenbin
Wang, Peng
Meng, Huan

DOI
10.1002/advs.202302586
URN
urn:nbn:de:101:1-2023080915172393335089
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 11:04 MESZ

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Beteiligte

  • Xu, Wenjie
  • Xiao, Yu
  • Zhao, Minzhi
  • Zhu, Jiahui
  • Wang, Yu
  • Wang, Wenbin
  • Wang, Peng
  • Meng, Huan

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