Deletion of NFKB1 enhances canonical NF-κB signaling and increases macrophage and myofibroblast content during tendon healing.
Katherine T BestFredella K LeeEmma KnappHani A AwadAlayna E LoisellePublished in: Scientific reports (2019)
Flexor tendon injuries heal with excessive scar tissue that limits range of motion and increases incidence of re-rupture. The molecular mechanisms that govern tendon healing are not well defined. Both the canonical nuclear factor kappa B (NF-κB) and mitogen activated protein kinase (MAPK) pathways have been implicated in tendon healing. The gene NFKB1 (proteins p105/p50) is involved in both NF-κB and MAPK signaling cascades. In the present study, we tested the hypothesis that global NFKB1 deletion would increase activation of both NF-κB and MAPK through loss of signaling repressors, resulting in increased matrix deposition and altered biomechanical properties. As hypothesized, NFKB1 deletion increased activation of both NF-κB and MAPK signaling. While gliding function was not affected, NFKB1 deletion resulted in tendons that were significantly stiffer and trending towards increased strength by four weeks post-repair. NFKB1 deletion resulted in increased collagen deposition, increase macrophage recruitment, and increased presence of myofibroblasts. Furthermore, NFKB1 deletion increased expression of matrix-related genes (Col1a1, Col3a1), macrophage-associated genes (Adgre1, Ccl2), myofibroblast markers (Acta2), and general inflammation (Tnf). Taken together, these data suggest that increased activation of NF-κB and MAPK via NFKB1 deletion enhance macrophage and myofibroblast content at the repair, driving increased collagen deposition and biomechanical properties.
Keyphrases
- signaling pathway
- nuclear factor
- pi k akt
- oxidative stress
- lps induced
- toll like receptor
- adipose tissue
- machine learning
- poor prognosis
- transforming growth factor
- cell proliferation
- inflammatory response
- body mass index
- risk factors
- mass spectrometry
- gene expression
- electronic health record
- physical activity
- big data
- protein kinase
- deep learning