Nandrolone decanoate and load increase remodeling and strength in human supraspinatus bioartificial tendons.

Published

Journal Article

To date, no studies document the effect of anabolic steroids on rotator cuff tendons.Controlled laboratory study.Anabolic steroids enhance remodeling and improve the biomechanical properties of bioartificially engineered human supraspinatus tendons.Bioartificial tendons were treated with either nandrolone decanoate (nonload, steroid, n = 18), loading (load, nonsteroid, n = 18), or both (load, steroid, n = 18). A control group received no treatment (nonload, nonsteroid [NLNS], n = 18). Bioartificial tendons' remodeling was assessed by daily scanning, cytoskeletal organization by staining, matrix metalloproteinase-3 levels by ELISA assay, and biomechanical properties by load-to-failure testing.The load, steroid group showed the greatest remodeling and the best organized actin cytoskeleton. Matrix metallo-proteinase-3 levels in the load, steroid group were greater than those of the nonload, nonsteroid group (P <.05). Ultimate stress and ultimate strain in the load, steroid group were greater than those of the nonload, nonsteroid and nonload, steroid groups (P <.05). The strain energy density in the load, steroid group was greater when compared to other groups (P <.05).Nandrolone decanoate and load acted synergistically to increase matrix remodeling and biomechanical properties of bioartificial tendons.Data suggest anabolic steroids may enhance production of bioartificial tendons and rotator cuff tendon healing in vitro. More research is necessary before such clinical use is recommended.

Full Text

Cited Authors

  • Triantafillopoulos, IK; Banes, AJ; Bowman, KF; Maloney, M; Garrett, WE; Karas, SG

Published Date

  • June 2004

Published In

Volume / Issue

  • 32 / 4

Start / End Page

  • 934 - 943

PubMed ID

  • 15150040

Pubmed Central ID

  • 15150040

Electronic International Standard Serial Number (EISSN)

  • 1552-3365

International Standard Serial Number (ISSN)

  • 0363-5465

Digital Object Identifier (DOI)

  • 10.1177/0363546503261700

Language

  • eng