Víctor Simancas-Escorcia, Jaime Plazas-Román, Antonio Díaz-Caballero, Adel Martínez-Martínez, Carlos M Ardila
{"title":"Early prediction of orthodontic gingival enlargement using S100A4: a biomarker-based risk stratification model.","authors":"Víctor Simancas-Escorcia, Jaime Plazas-Román, Antonio Díaz-Caballero, Adel Martínez-Martínez, Carlos M Ardila","doi":"10.1007/s10266-025-01194-2","DOIUrl":null,"url":null,"abstract":"<p><p>Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing orthodontic treatment and remains largely unpredictable, often relying on subjective clinical assessments made after irreversible tissue changes have occurred. S100A4 is a well-characterized marker of activated fibroblasts involved in pathological tissue remodeling. This was a cross-sectional precision biomarker study that analyzed gingival tissue samples from three groups: healthy controls (n = 60), orthodontic patients without gingival enlargement (n = 31), and patients with clinically diagnosed OIGE (n = 61). Immunohistochemical analysis quantified S100A4-positive fibroblasts, type I collagen synthesis, and microvascular density. Advanced statistical analyses included multivariate logistic regression, machine learning-based validation, causal mediation analysis, and survival modeling for risk stratification. The density of S100A4-positive fibroblasts was significantly higher in OIGE patients (245.8 ± 38.7 cells/mm<sup>2</sup>) compared to orthodontic controls (165.3 ± 29.4 cells/mm<sup>2</sup>) and healthy individuals (98.2 ± 18.5 cells/mm<sup>2</sup>) (p < 0.001; η<sup>2</sup> = 0.891). Multivariate analysis confirmed S100A4 as an independent predictor of OIGE (OR = 1.028 per cell/mm<sup>2</sup>; 95%CI 1.021-1.035; p < 0.001). Machine learning validation demonstrated high predictive accuracy (AUC = 0.946). Survival analysis identified distinct risk strata: individuals with S100A4 densities > 180 cells/mm<sup>2</sup> had a 78% probability of developing OIGE within 24 months, compared to 12% for those with < 130 cells/mm<sup>2</sup>. S100A4 demonstrates 95% predictive accuracy for OIGE, supporting its role in personalized risk stratification and early preventive interventions during a defined therapeutic window. This study presents the first validated precision biomarker in orthodontics with the potential to prevent an estimated 180,000-360,000 OIGE cases globally each year.</p>","PeriodicalId":19390,"journal":{"name":"Odontology","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Odontology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10266-025-01194-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing orthodontic treatment and remains largely unpredictable, often relying on subjective clinical assessments made after irreversible tissue changes have occurred. S100A4 is a well-characterized marker of activated fibroblasts involved in pathological tissue remodeling. This was a cross-sectional precision biomarker study that analyzed gingival tissue samples from three groups: healthy controls (n = 60), orthodontic patients without gingival enlargement (n = 31), and patients with clinically diagnosed OIGE (n = 61). Immunohistochemical analysis quantified S100A4-positive fibroblasts, type I collagen synthesis, and microvascular density. Advanced statistical analyses included multivariate logistic regression, machine learning-based validation, causal mediation analysis, and survival modeling for risk stratification. The density of S100A4-positive fibroblasts was significantly higher in OIGE patients (245.8 ± 38.7 cells/mm2) compared to orthodontic controls (165.3 ± 29.4 cells/mm2) and healthy individuals (98.2 ± 18.5 cells/mm2) (p < 0.001; η2 = 0.891). Multivariate analysis confirmed S100A4 as an independent predictor of OIGE (OR = 1.028 per cell/mm2; 95%CI 1.021-1.035; p < 0.001). Machine learning validation demonstrated high predictive accuracy (AUC = 0.946). Survival analysis identified distinct risk strata: individuals with S100A4 densities > 180 cells/mm2 had a 78% probability of developing OIGE within 24 months, compared to 12% for those with < 130 cells/mm2. S100A4 demonstrates 95% predictive accuracy for OIGE, supporting its role in personalized risk stratification and early preventive interventions during a defined therapeutic window. This study presents the first validated precision biomarker in orthodontics with the potential to prevent an estimated 180,000-360,000 OIGE cases globally each year.
期刊介绍:
The Journal Odontology covers all disciplines involved in the fields of dentistry and craniofacial research, including molecular studies related to oral health and disease. Peer-reviewed articles cover topics ranging from research on human dental pulp, to comparisons of analgesics in surgery, to analysis of biofilm properties of dental plaque.