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Updated: Feb 22, 2026

Inducing Apical Periodontitis in Mice
Published on: August 6, 2019
The Influence of Adalimumab on the Healing of Apical Periodontitis in Ferrets
Elisabetta Cotti1, Kenneth Abramovitch2, James Jensen3
1Department of Conservative Dentistry and Endodontics, Università degli Studi di Cagliari, Cagliari, Italy.
Introduction:
Given the increasing use of anti-tumor necrosis factor α (anti-TNFα) biologic medications, and their interferences with the immune-inflammatory response, this study evaluated the effect of adalimumab (anti-TNFα), on healing and healing time of apical periodontitis (AP) in ferrets.
Methods:
Twelve male ferrets received cone beam computed tomography of the jaws at baseline health (T0); AP confirmation (T1); and 30 (T2), 60 (T3), and 90 (T4) days after root canal treatment (RCT) to monitor healing. All animals had AP induced in the canines; 3 ferrets (12 teeth) provided the positive controls for the histologic evaluation; 9 ferrets were randomly divided into 3 treatment groups with 12 teeth each in the following manner: Systemic: conventional RCT and systemic anti-TNFα; Local: RCT and periapical administration of anti-TNFα before canal obturation; conventional RCT only (control). Two calibrated radiologists assessed the cone beam computed tomography images independently and blindly for AP identification and quantification. Rank-based analysis of covariance was used for statistical analysis of lesion size.
Results:
AP was induced in all teeth. Following RCT, all AP lesions in the 3 groups showed a significant reduction in size. Specific pairwise comparisons of the related samples (Friedman's 2-way analysis of variance by ranks within each group) demonstrated a decreasing trend in lesion size with healing time in all 3 groups, most pronounced for local group (local adalimumab). No statistical difference was noticed between groups.
Conclusions:
Both systemic and local anti-TNFα did not hinder AP healing in this animal model and a faster healing response may also be anticipated. These findings encourage follow-up studies with larger sample sizes.

