Journal of Orthopaedic Research®GeneticsPeer-reviewed journal article
Tenascin C Deletion Impairs Tendon Healing and Functional Recovery After Rotator Cuff Repair
Robert Z. TashjianiD, Jared L. ZitnayiD, Nikolas H. KazmersiD, Shivakumar R. VeerabhadraiahiD, Antonio C. Zelada, Matthew Honeggar, Matthew C. P. SmithiD, Peter Nissen ChalmersiD, Heath B. HenningeriD, Michael J. JuryneciD
Abstract
The biological factors that affect healing after rotator cuff repair (RCR) are not well understood. Genetic variants in the extracellular matrix protein Tenascin C (TNC) are associated with impaired tendon healing and it is expressed in rotator cuff tendon tissue after injury, suggesting it may have a role in the repair process. The purpose of the current study was to determine the role of TNC on tendon healing after RCR in a murine model. The supraspinatus tendon was transected and repaired on the left shoulder of Wild-Type (WT-RCR), Tenascin C null (Tnc--RCR) and Tnc heterozygous (Tnc+/--RCR) mice. Controls included the unoperated, contralateral shoulder of WT-RCR, Tnc--RCR, Tnc+/--RCR mice and unoperated shoulders from age and genotype matched controls. We performed histologic, activity testing, RNA-seq, and biomechanical analyses. At 8-weeks post-RCR, Tnc- and Tnc+/- mice had severe bone and tendon defects following rotator cuff repair. Tnc--RCR mice had reduced activity after rotator cuff repair including reduced wheel rotations, wheel duration, and wheel episode average velocity compared with WT-RCR. Loss of Tnc following RCR altered gene expression in the shoulder, including upregulation of sex hormone and WNT pathways and a downregulation of inflammation and cell cycle pathways. Tnc- mice had similar biomechanical properties after repair as WT. Further research is required to evaluate tissue specific alterations of Tnc, the interactions of Tnc and sex hormone and inflammation pathways as well as possible adjuvants to improve enthesis healing in the setting of reduced TNC function.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 7
- FWCI
- 2.95
- Field percentile
- top 8%
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