Bessa Lucinda J, Egas Conceição, Pires Carolina, Proença Luís, Mascarenhas Paulo, Pais Ricardo J, Barroso Helena, Machado Vanessa, Botelho João, Alcoforado Gil, Mendes José João, Alves Ricardo
Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, Portugal.
CNC-UC - Center for Neuroscience and Cell Biology, University of Coimbra, UC-Biotech, Cantanhede, Portugal.
Front Cell Infect Microbiol. 2025 Apr 17;15:1543100. doi: 10.3389/fcimb.2025.1543100. eCollection 2025.
The rising use of dental implants is accompanied by an expected increase in peri-implant diseases, particularly peri-implantitis (PI), which poses a significant threat to implant success and necessitates a thorough understanding of its pathogenesis for effective management.
To gain deeper insights into the role and impact of the peri-implant microbiome in the pathogenesis and progression of PI, we analyzed 100 samples of saliva and subgingival biofilm from 40 participants with healthy implants (HI group) or with co-occurrence of diagnosed PI-affected implants and healthy implants (PI group) using shotgun metagenomic sequencing. We identified the most discriminative species distinguishing healthy from diseased study groups through log ratios and differential ranking analyses.
, , , , , and were associated with the subgingival peri-implant biofilm. In contrast, Neisseria sp oral taxon 014, , , and were more prevalent in the healthy peri-implant biofilm. Functional pathways such as arginine and polyamine biosynthesis, including putrescine and citrulline biosynthesis, showed stronger correlations with PI-affected implants. In contrast, peri-implant health was characterized by the predominance of pathways involved in purine and pyrimidine deoxyribonucleotide de novo biosynthesis, glucose and glucose-1-phosphate degradation, and tetrapyrrole biosynthesis. Our findings reveal that healthy implants in PI-free oral cavities differ significantly in microbial composition and functional pathways compared to healthy implants co-occurring with PI-affected implants, which more closely resemble PI-associated profiles. This pattern extended to salivary samples, where microbial and functional biomarkers follow similar trends.
牙种植体使用的增加伴随着种植体周围疾病预期的增多，尤其是种植体周炎（PI），这对种植成功构成了重大威胁，因此需要深入了解其发病机制以进行有效管理。
为了更深入地了解种植体周围微生物群在PI发病机制和进展中的作用及影响，我们使用鸟枪法宏基因组测序分析了40名参与者的100份唾液和龈下生物膜样本，这些参与者分别有健康种植体（HI组）或同时存在诊断为受PI影响的种植体和健康种植体（PI组）。我们通过对数比和差异排序分析确定了区分健康与患病研究组的最具鉴别性的物种。
、 、 、 、 、 与龈下种植体周围生物膜相关。相比之下，口腔奈瑟菌属分类群014、 、 、 在健康的种植体周围生物膜中更为普遍。精氨酸和多胺生物合成等功能途径，包括腐胺和瓜氨酸生物合成，与受PI影响的种植体显示出更强的相关性。相比之下，种植体周围健康的特征是嘌呤和嘧啶脱氧核糖核苷酸从头生物合成、葡萄糖和葡萄糖-1-磷酸降解以及四吡咯生物合成相关途径占主导地位。我们的研究结果表明，与与受PI影响的种植体同时存在的健康种植体相比（后者更类似于与PI相关的特征），无PI口腔中的健康种植体在微生物组成和功能途径上有显著差异。这种模式也延伸到唾液样本，其中微生物和功能生物标志物遵循类似的趋势。
