Adipose stromal cells improve healing of vocal fold scar: Morphological and functional evidences - Archive ouverte HAL
Article Dans Une Revue Laryngoscope Année : 2016

Adipose stromal cells improve healing of vocal fold scar: Morphological and functional evidences

Résumé

OBJECTIVES/HYPOTHESIS: Adipose derived stromal cells (ASCs) are abundant and easy to prepare. Such cells may be useful for treating severe vocal disturbance caused by acute vocal fold scars. STUDY DESIGN: Prospective animal experiments with controls. METHODS: Twenty New-Zealand white rabbits were used in the present study. We evaluated vocal fold healing, with or without injection of autologous ASCs, after acute scarring. A defined lesion was created and the ASCs were immediately injected. Vocal fold regeneration was evaluated histomorphometrically and via viscoelastic analysis using an electrodynamic shaker. RESULTS: Six weeks after ASC injection, vocal folds exhibited significantly less inflammation than control folds (P < 0.005). In addition, hypertrophy of the lamina propria and fibrosis were significantly reduced upon ASC injection (P < 0.02). The decrease in viscoelastic parameters was less important in the ASC injected group compared to the noninjected group (P = 0.08). CONCLUSION: Injection of autologous ASCs improved vocal fold healing in our preclinical model. Further studies are needed, but this method may be useful in humans. LEVEL OF EVIDENCE: NA. Laryngoscope, 126:E278-E285, 2016.
Fichier principal
Vignette du fichier
Bonnecaze_18162.pdf (1.08 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01585568 , version 1 (11-09-2017)

Identifiants

Citer

Guillaume De Bonnecaze, Benoît Chaput, Virginie Woisard, Emmanuelle Uro-Coste, Pascal Swider, et al.. Adipose stromal cells improve healing of vocal fold scar: Morphological and functional evidences. Laryngoscope, 2016, vol. 126 (n° 8), pp. E278-E285. ⟨10.1002/lary.25867⟩. ⟨hal-01585568⟩
127 Consultations
195 Téléchargements

Altmetric

Partager

More