Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study
IntroductionThe 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.MethodsTo gain...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Cellular and Infection Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2025.1543100/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849725447941652480 |
|---|---|
| author | Lucinda J. Bessa Conceição Egas Conceição Egas Conceição Egas Carolina Pires Luís Proença Paulo Mascarenhas Ricardo J. Pais Ricardo J. Pais Helena Barroso Vanessa Machado João Botelho Gil Alcoforado José João Mendes Ricardo Alves |
| author_facet | Lucinda J. Bessa Conceição Egas Conceição Egas Conceição Egas Carolina Pires Luís Proença Paulo Mascarenhas Ricardo J. Pais Ricardo J. Pais Helena Barroso Vanessa Machado João Botelho Gil Alcoforado José João Mendes Ricardo Alves |
| author_sort | Lucinda J. Bessa |
| collection | DOAJ |
| description | IntroductionThe 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.MethodsTo 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.Results and discussionMogibacterium timidum, Schaalia cardiffensis, Parvimonas micra, Filifactor alocis, Porphyromonas endodontalis, Porphyromonas gingivalis and Olsenella uli were associated with the subgingival peri-implant biofilm. In contrast, Neisseria sp oral taxon 014, Haemophilus parainfluenzae, Actinomyces naeslundii, Rothia mucilaginosa and Rothia aeria 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. |
| format | Article |
| id | doaj-art-d3d1c22eeb8543ddb5235c3e4d12a01d |
| institution | DOAJ |
| issn | 2235-2988 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj-art-d3d1c22eeb8543ddb5235c3e4d12a01d2025-08-20T03:10:28ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882025-04-011510.3389/fcimb.2025.15431001543100Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot studyLucinda J. Bessa0Conceição Egas1Conceição Egas2Conceição Egas3Carolina Pires4Luís Proença5Paulo Mascarenhas6Ricardo J. Pais7Ricardo J. Pais8Helena Barroso9Vanessa Machado10João Botelho11Gil Alcoforado12José João Mendes13Ricardo Alves14Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalCNC-UC – Center for Neuroscience and Cell Biology, University of Coimbra, UC-Biotech, Cantanhede, PortugalCIBB – Center for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Cantanhede, PortugalGenoinseq – Next Generation Sequencing Unit, Biocant, Cantanhede, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalBioinformatics R&D, Bioenhancer Systems Ltd, Manchester, United KingdomEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, PortugalIntroductionThe 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.MethodsTo 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.Results and discussionMogibacterium timidum, Schaalia cardiffensis, Parvimonas micra, Filifactor alocis, Porphyromonas endodontalis, Porphyromonas gingivalis and Olsenella uli were associated with the subgingival peri-implant biofilm. In contrast, Neisseria sp oral taxon 014, Haemophilus parainfluenzae, Actinomyces naeslundii, Rothia mucilaginosa and Rothia aeria 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.https://www.frontiersin.org/articles/10.3389/fcimb.2025.1543100/fullperi-implantitisperi-implant microbiomesaliva microbiomefunctional pathwaysshotgun metagenomic sequencingdifferential rankings |
| spellingShingle | Lucinda J. Bessa Conceição Egas Conceição Egas Conceição Egas Carolina Pires Luís Proença Paulo Mascarenhas Ricardo J. Pais Ricardo J. Pais Helena Barroso Vanessa Machado João Botelho Gil Alcoforado José João Mendes Ricardo Alves Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study Frontiers in Cellular and Infection Microbiology peri-implantitis peri-implant microbiome saliva microbiome functional pathways shotgun metagenomic sequencing differential rankings |
| title | Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study |
| title_full | Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study |
| title_fullStr | Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study |
| title_full_unstemmed | Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study |
| title_short | Linking peri-implantitis to microbiome changes in affected implants, healthy implants, and saliva: a cross-sectional pilot study |
| title_sort | linking peri implantitis to microbiome changes in affected implants healthy implants and saliva a cross sectional pilot study |
| topic | peri-implantitis peri-implant microbiome saliva microbiome functional pathways shotgun metagenomic sequencing differential rankings |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2025.1543100/full |
| work_keys_str_mv | AT lucindajbessa linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT conceicaoegas linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT conceicaoegas linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT conceicaoegas linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT carolinapires linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT luisproenca linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT paulomascarenhas linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT ricardojpais linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT ricardojpais linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT helenabarroso linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT vanessamachado linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT joaobotelho linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT gilalcoforado linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT josejoaomendes linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy AT ricardoalves linkingperiimplantitistomicrobiomechangesinaffectedimplantshealthyimplantsandsalivaacrosssectionalpilotstudy |