Volume 47 Issue 3
Mar.  2026
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Yingjie ZHAO, Han GAO, Yiqi ZHENG, Yang CAO, Xin LIU. The Predictive Value of Serum HSP27,CCL22,sTim-3 for the Prognosis of Periodontitis[J]. Journal of Kunming Medical University, 2026, 47(3): 114-122. doi: 10.12259/j.issn.2095-610X.S20260313
Citation: Yingjie ZHAO, Han GAO, Yiqi ZHENG, Yang CAO, Xin LIU. The Predictive Value of Serum HSP27,CCL22,sTim-3 for the Prognosis of Periodontitis[J]. Journal of Kunming Medical University, 2026, 47(3): 114-122. doi: 10.12259/j.issn.2095-610X.S20260313

The Predictive Value of Serum HSP27,CCL22,sTim-3 for the Prognosis of Periodontitis

doi: 10.12259/j.issn.2095-610X.S20260313
  • Received Date: 2025-11-18
    Available Online: 2026-04-02
  • Publish Date: 2026-03-31
  •   Objective  To explore the levels of heat shock protein 27 (HSP27), chemokine ligand 22 (CCL22), and soluble T cell immunoglobulin mucin molecule-1 (sTim-3) in the serum of periodontitis patients, analyze their correlation with periodontal clinical indicators and prognosis, and test the predictive efficacy of each biomarker individually and in combination for prognosis.   Methods  A total of 422 patients with periodontitis admitted to Beijing Aerospace General Hospital from April 2021 to April 2025 were selected, and 415 healthy individuals who underwent physical examinations during the same period were chosen as the control group. Serum and gingival crevicular fluid (GCF) samples were collected from both groups at baseline and at the 6-month follow-up. Levels of HSP27, CCL22, and sTim-3 were measured in serum and GCF. Periodontal parameters, including bleeding index (BI), gingival index (GI), attachment loss (AL), and probing depth (PD), were recorded concurrently. Differences in these indicators between the two groups were compared, and the correlation between serum and GCF levels of HSP27, CCL22, and sTim-3 was analyzed. The characteristics of HSP27, CCL22, and sTim-3 changes were compared between periodontitis patients with different prognoses. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated to evaluate the predictive value of changes in each indicator for an unfavorable prognosis.   Results  At baseline and 6-month follow-up, the levels of HSP27, CCL22, and sTim-3 in serum and GCF were significantly higher in the periodontitis group than in the healthy group(P < 0.05); After 6 months of treatment, the levels of serum and GCF indicators in the periodontitis group significantly decreased compared to baseline(P < 0.05), while there were no significant differences in various indicators before and after follow-up in the healthy group(P > 0.05). Pearson correlation analysis showed that the levels of HSP27, CCL22, and sTim-3 in the serum and GCF of patients with periodontitis were significantly positively correlated at both baseline and 6-month follow-up(P < 0.05). The serum levels of HSP27, CCL22, and sTim-3 in the poor prognosis group were higher than those in the good prognosis group at both baseline and the 6-month follow-up, and the magnitude of post-treatment change in these indicators was significantly lower than those in the good prognosis group(P < 0.05). ROC curve analysis showed that the changes in HSP27, CCL22, and sTim-3 each had good predictive value for a poor prognosis in periodontitis patients. The AUC of the combined prediction of the three indicators was 0.925, significantly higher than that of a single indicator(P < 0.05).   Conclusion  Serum HSP27, CCL22, and sTim-3 are important biological markers for the prognosis of periodontitis. Combined detection of these three markers has significant clinical value for prognostic assessment in periodontitis patients.
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