Clinical Profile, Risk Factors, and Microbial Dysbiosis in Periodontitis: Findings from an Adult Cohort and Microbiome-Based Predictive Models
Microbiome-based predictive models, particularly at the species level, showed better discriminatory performance than conventional clinical-behavioral models. These findings support the potential utility of salivary microbial signatures as adjunctive, non-invasive biomarkers of periodontal inflammatory status.
Authors
- Jesús Pilo (ORCID: https://orcid.org/0000-0001-9145-7564)
- Ana Adell Pérez
- Marta Bruna del Cojo (ORCID: https://orcid.org/0009-0000-9785-7059)
- Caridad Margarita Arias-Macias
- Sergio Portal‐Núñez (ORCID: https://orcid.org/0000-0003-0659-1545)
- Manuel Macías‐González (ORCID: https://orcid.org/0000-0002-6475-4704)
- Clara Esteban Escobar
- B Manso De Gustin
- Sofía Jiménez De Nunzio
- Francisco Tercero-Mora
- Filipa Nunes
- Eva Lago Pacheco
Institutions
- Universidad San Pablo CEU (ES)
- Ministerio de Educación Cultura y Deporte (ES)
- Fundación A LA PAR (ES)
- Andalusian Centre for Nanomedicine and Biotechnology (ES)
- Hospital Clínico Universitario Virgen de la Victoria (ES)
- Instituto de Investigación Biomédica de Málaga (ES)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2026-04-15
- DOI
- https://doi.org/10.3390/jcm15082994
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00