Open Access
CC BY 4.0 · Eur J Dent 2024; 18(03): 933-941
DOI: 10.1055/s-0044-1779426
Original Article

Alveolar Bone Loss in a Ligature-Induced Periodontitis Model in Rat Using Different Ligature Sizes

1   Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
,
1   Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
,
2   Center of Excellence in Periodontal Disease and Dental Implant, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
3   Immunology Research Center, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
,
4   Biomaterial Testing Center, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
,
1   Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
2   Center of Excellence in Periodontal Disease and Dental Implant, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
3   Immunology Research Center, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
,
Wichaya Wisitrasameewong
1   Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
2   Center of Excellence in Periodontal Disease and Dental Implant, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
3   Immunology Research Center, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
› Institutsangaben

Funding This study was supported by Thailand Science Research and Innovation (DIG6280002), Thailand Science Research and Innovation Fund Chulalongkorn University (CU_FRB65_hea(3)_009_32_04), Chulalongkorn Academic Advancement into Its 2nd Century Project and Grants for Development of New Faculty Staff, Ratchadaphiseksomphot Endowment Fund.
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Abstract

Objectives Ligature-induced periodontitis model has been widely used as a preclinical stage for investigating new treatment modalities. However, the effect of different ligature sizes on alveolar bone loss has never been studied. Therefore, we examined alveolar bone loss in this rat model using different sizes of silk ligatures, as well as healing after ligature removal.

Materials and Methods Left maxillary second molars of Sprague-Dawley rats were ligated with 3-0, 4-0, or 5-0 silk ligatures (n = 4–5/group) for 14 days before harvested maxillae and gingival tissues. For subsequent experiment, animals were ligated for 14 days using the ligature size that induced the most alveolar bone loss before ligature removal and sacrificed at 0, 7 and 14 days (n = 5–6/group). All maxillae and gingival tissues were harvested to evaluate alveolar bone level, tumor necrosis factor-α (TNF-α), and interleukin-1β (IL-1β) levels.

Statistical Analysis Data was analyzed using SPSS Statistics 23.0 software (SPSS Inc., Chicago, Illinois, United States). Data from all experiments were tested for normality using Shapiro–Wilk test. Data between ligatured and nonligatured teeth were compared using Student's t-test or Wilcoxon signed-rank test. Differences among different ligature sizes were analyzed by analysis of variance followed by multiple comparisons with post-hoc test. A p-value less than 0.05 was considered statistically significant.

Results The alveolar bone loss of ligated teeth was substantially higher than that of control after 14 days of ligation. While 3-0 and 4-0 resulted in significantly greater bone loss than 5-0 silk, the 3-0 group had the lowest rate of ligature loss. Therefore, alveolar bone healing postligature removal was investigated further using 3-0 silk. The results showed no significant bone level change at 2 weeks after ligature removal. In term of IL-1β and TNF-α levels, there was no statistically significant difference in IL-1β level between groups at any time point, while TNF-α was undetectable.

Conclusion These data showed that 3-0 silk was the most effective ligature size in promoting alveolar bone loss comparing with 4-0 and 5-0 silk. During the 2-week period following ligature removal, spontaneous bone healing was not observed.



Publikationsverlauf

Artikel online veröffentlicht:
05. März 2024

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