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Biomedicines · 2025

Salivary Biomarker Profiles in Pediatric Oral Candidiasis.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Flondor Alexandru-Emilian, Sufaru Irina-Georgeta, Martu Ioana, Burlea Stefan-Lucian, Toma Vasilica

Аннотация

Background/Objectives: Pediatric periodontal inflammation arises from complex host-microbe interactions. Beyond bacterial biofilms, fungal colonization-particularly by Candida albicans-is increasingly recognized as a contributor. The aim of this study was to investigate the relationship between fungal and bacterial colonization, host inflammatory mediators, and salivary parameters in children. It also aimed to identify salivary biomarkers that could be useful for the early diagnosis of oral candidiasis and periodontal inflammation. Methods: A cross-sectional study was performed on 140 children (8-15 years): healthy controls (n = 70) and cases with oral candidiasis (n = 70). Clinical indices (Plaque Index, Gingival Index, Bleeding on Probing), salivary flow, pH, and buffering capacity were recorded. Quantitative PCR assessed C. albicans and four periodontal pathogens, while ELISA measured salivary cytokines (IL-1β, IL-6, TNF-α, IL-8). Analyses included group comparisons, correlations, regression modeling, and principal component analysis (PCA). Results: Children with candidiasis exhibited higher PI, GI, and BOP (p < 0.001), along with reduced pH and buffering capacity (p < 0.001). Salivary loads of C. albicans and all targeted pathogens were elevated (p < 0.001). Cytokine levels were markedly increased (p < 0.001). GI correlated with C. albicans (ρ = 0.71) and cytokines (ρ = 0.62-0.76). Logistic regression identified C. albicans and IL-1β as independent predictors, while salivary pH and flow were found to be protective. PCA distinguished groups, with PC1 (55.2%) driven by fungal and cytokine markers. Conclusions: Oral candidiasis in children is defined by distinct microbial and inflammatory profiles. Salivary biomarker integration offers potential for early, non-invasive diagnosis and risk stratification.