Osteoarthritis (OA) is the most common musculoskeletal disease worldwide and yet an effective therapy is still absent. Associated with cartilage degeneration, OA is recognized as a complex whole joint disease [1], making in vitro modelling particularly cumbersome. Available in vitro models are, however, largely 2D based and not representative of the joint environment. As a result, failure meets attempts at translating promising pre-clinical OA disease modifying drugs (DMOADs) into clinical success. This shortcoming calls for more efficient pre-clinical tools, able to reliably predict DMOA drugs’ efficacy in vivo. In this study we developed a microscale platform providing 3D microconstructs with mechanical compression. The device was used in generating an OA cartilage-on-chip model, and DMOADs screening capability assessed.

Cartilage-on-chip model: triggering osteoarthritis traits through mechanical compression

Mainardi A;Occhetta P;Votta E;Rasponi M
2018-01-01

Abstract

Osteoarthritis (OA) is the most common musculoskeletal disease worldwide and yet an effective therapy is still absent. Associated with cartilage degeneration, OA is recognized as a complex whole joint disease [1], making in vitro modelling particularly cumbersome. Available in vitro models are, however, largely 2D based and not representative of the joint environment. As a result, failure meets attempts at translating promising pre-clinical OA disease modifying drugs (DMOADs) into clinical success. This shortcoming calls for more efficient pre-clinical tools, able to reliably predict DMOA drugs’ efficacy in vivo. In this study we developed a microscale platform providing 3D microconstructs with mechanical compression. The device was used in generating an OA cartilage-on-chip model, and DMOADs screening capability assessed.
2018
File in questo prodotto:
File Dimensione Formato  
Mainardi-Andrea-GNB2018-Final.pdf

Accesso riservato

Descrizione: Poster
Dimensione 12.38 MB
Formato Adobe PDF
12.38 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1121341
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact