Bioinformatic Resistome Profiling of Metal Tolerance Mechanisms in Endodontic Infections: Implications for Antimicrobial Nanoparticle-Based Biomaterials

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:29:42Z
Fecha de publicación2026-01-01
ResumenBackground: Metallic and metal oxide nanoparticles are increasingly explored as antimicrobial biomaterials in endodontics due to their multi-target mechanisms of action, largely mediated by metal ion release (e.g., Ag+, Cu+). However, bacterial metal resistance systems, particularly efflux-related proteins, may influence their antimicrobial performance. This study aimed to analyze the prevalence and distribution of metal resistance-associated proteins in bacteria involved in endodontic infections using a bioinformatic approach. Methods: An in silico, cross-sectional bioinformatic analysis was conducted using publicly available genomes from the Bacterial and Viral Bioinformatics Resource Center (BV-BRC). Bacterial species associated with acute apical abscess (AAA), symptomatic apical periodontitis (SAP), asymptomatic apical periodontitis (AAP), and post-treatment apical periodontitis (PTAP) were included. The presence of selected metal resistance-related proteins (CutC, CopA, CzcA, CusA, SilA, P-type ATPase, and PA3920) was assessed using a binary presence/absence framework. Prevalence, group comparisons (Fisher’s exact test), and co-occurrence patterns (Phi coefficient) were analyzed. Results: Metal resistance-associated proteins were widely distributed across all infection types, with prevalence ranging from 70.0% to 82.9% and no significant differences between groups (p > 0.05). CutC was the most prevalent protein, followed by CopA and CzcA, whereas SilA and PA3920 were not detected. Correlation analysis revealed consistent co-occurrence patterns among key taxa, including Porphyromonas gingivalis, Fusobacterium nucleatum, and Prevotella spp. Conclusions: Metal resistance-related proteins are broadly distributed in endodontic microbiota, indicating a conserved genetic capacity for metal tolerance. These findings suggest that microbial resistance determinants may influence, but do not directly determine, the antimicrobial performance of nanoparticle-based biomaterials. This study provides a hypothesis-generating, bioinformatic framework to support the design and optimization of antimicrobial biomaterials, highlighting the need for experimental validation and integration of phenotypic and biofilm-based analyses.es_ES
Doihttps://doi.org/10.3390/jfb17050237es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/1704
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónJournal of Functional Biomaterialses_ES
URL relacionadohttps://doi.org/10.3390/jfb17050237es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteJournal of Functional Biomaterials
TítuloBioinformatic Resistome Profiling of Metal Tolerance Mechanisms in Endodontic Infections: Implications for Antimicrobial Nanoparticle-Based Biomaterialses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorLuna-Lara, Carlos Alberto
AutorLuna-Dominguez, Carlos Roberto
AutorOliver-Parra, Rogelio
AutorCriollo-Barrios, Omaika Victoria
AutorVaca-Jasso, María de los Dolores
AutorSalas-Orozco, Marco Felipe
AutorLuna-Lara, Carlos Albertoes_ES
AutorLuna-Dominguez, Carlos Robertoes_ES
AutorOliver-Parra, Rogelioes_ES
AutorCriollo-Barrios, Omaika Victoriaes_ES
AutorVaca-Jasso, María de los Doloreses_ES
AutorSalas-Orozco, Marco Felipees_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número5es_ES
Rango de páginas237es_ES
URL relacionadahttps://doi.org/10.3390/jfb17050237
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen17es_ES

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