Unveiling the Resistome Landscape in Peri-Implant Health and Disease DOI Open Access
Lucinda J. Bessa, Conceição Egas, João Botelho

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(3), P. 931 - 931

Published: Jan. 31, 2025

Background: The human oral microbiome is a critical reservoir for antibiotic resistance; however, subgingival peri-implant biofilms remain underexplored in this context. We aimed to explore the prevalence and distribution of resistance genes (ARGs) metagenomes derived from saliva biofilms. Methods: A total 100 metagenome datasets 40 individuals were retrieved Sequence Read Archive (SRA) database. Of these, 20 had exclusively healthy implants both affected with peri-implantitis. ARGs their taxonomic assignments identified using ABRicate tool, plasmid detection was performed PlasmidFinder. Results: Four replicons 72 metagenomes, 55 distinct 13 classes detected 89 metagenomes. conferring macrolides-lincosamides-streptogramins, tetracyclines, beta-lactams, fluoroquinolones most prevalent. msr(D) mef(A) showed highest prevalence, except samples implants, where ranked fourth. pairwise PERMANOVA principal coordinate analysis based on Jaccard distances revealed that exhibited significantly greater ARG diversity than biofilm (p < 0.05). However, no significant differences observed between peri-implantitis-affected groups > origins also analyzed understand potential impact microbial communities. Conclusions: Resistome profiles associated health disease higher salivary abundance compared samples.

Language: Английский

Unveiling the Resistome Landscape in Peri-Implant Health and Disease DOI Open Access
Lucinda J. Bessa, Conceição Egas, João Botelho

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(3), P. 931 - 931

Published: Jan. 31, 2025

Background: The human oral microbiome is a critical reservoir for antibiotic resistance; however, subgingival peri-implant biofilms remain underexplored in this context. We aimed to explore the prevalence and distribution of resistance genes (ARGs) metagenomes derived from saliva biofilms. Methods: A total 100 metagenome datasets 40 individuals were retrieved Sequence Read Archive (SRA) database. Of these, 20 had exclusively healthy implants both affected with peri-implantitis. ARGs their taxonomic assignments identified using ABRicate tool, plasmid detection was performed PlasmidFinder. Results: Four replicons 72 metagenomes, 55 distinct 13 classes detected 89 metagenomes. conferring macrolides-lincosamides-streptogramins, tetracyclines, beta-lactams, fluoroquinolones most prevalent. msr(D) mef(A) showed highest prevalence, except samples implants, where ranked fourth. pairwise PERMANOVA principal coordinate analysis based on Jaccard distances revealed that exhibited significantly greater ARG diversity than biofilm (p < 0.05). However, no significant differences observed between peri-implantitis-affected groups > origins also analyzed understand potential impact microbial communities. Conclusions: Resistome profiles associated health disease higher salivary abundance compared samples.

Language: Английский

Citations

0