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Updated: Feb 1, 2026

Detection and Isolation of Viable Mouse IL-17-Secreting T Cells
Published on: December 18, 2008
Interleukin-17-producing T cells and interleukin-17 mRNA expression in periodontitis and long-standing gingivitis
Sara Thorbert-Mros1, Lena Larsson1, Josephine Kalm1
1Department of Periodontology, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Background:
T helper17 cells (Th17) are key targets in the evaluation of differences between "destructive" and "non-destructive" periodontal lesions. The aim of the present study was to analyze the density of interleukin-17 (IL-17) producing T cells and IL-17 mRNA expression in lesions representing severe periodontitis and longstanding gingivitis.
Methods:
Two groups of patients were recruited. The gingivitis group consisted of 28 patients, 41-70 years old, with evident signs of gingival inflammation but no attachment loss. The periodontitis group consisted of 36 patients, 33-67 years of age. A gingival biopsy was obtained from one selected diseased site from each patient and prepared for immunohistochemical and reverse transcription, quantitative polymerase chain reaction (RT-qPCR) analysis.
Results:
Although the density of CD3 positive cells (T cells) did not differ between the two types of lesions, the total number and density of cells positive for CD3+CD161 (IL-17-producing T-cells) were larger in periodontitis than in long-standing gingivitis lesions. About 30% of CD3-cells in periodontitis lesions were also positive for CD161. The corresponding figure for gingivitis samples was 15%. Analysis of covariance (ANCOVA) analysis revealed that differences between periodontitis and gingivitis samples remained after adjusting for smoking, age, and gender. In addition, males had larger proportions of IL-17 producing T cells than females in both groups. The IL-17 mRNA expression was higher in periodontitis than in gingivitis samples.
Conclusion:
It is suggested that IL-17 producing T cells represent a significant feature in the detection of differences between destructive and non-destructive lesions.
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