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March 28, 2026Indian Journal of Dental Research0 citationsOpen Access

Longitudinal microbiome dynamics in peri-implantitis: From dysbiosis to recovery

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TPThantrira Porntaveetus

Key Points

  • The research aims to explore changes in the peri-implant microbiome during and after non-surgical therapy for peri-implantitis.
  • Collected peri-implant sulcus fluid from patients at baseline, 90 days, and 180 days.
  • Applied non-surgical periodontal treatment to the peri-implantitis group.
  • Sequenced microbial DNA from the V3–V4 region of the 16S rRNA gene.
  • Conducted bioinformatic analysis using DADA2, PCoA, and PERMANOVA for community comparisons.
  • Calculated alpha and beta diversity metrics to evaluate microbial changes over time.
  • Peri-implantitis sites had lower alpha diversity and higher levels of certain pathogens at baseline.
  • At 90 days, Haemophilus increased in both groups, especially in peri-implantitis patients.
  • By 180 days, some microbial shifts toward a healthier profile were observed, but full recovery was not achieved.
  • Control group maintained stable community composition with dominant bacteria remaining unchanged.

Abstract

Objectives: This study aimed to investigate the temporal dynamics of the peri-implant microbiome in patients with peri-implantitis, comparing microbial shifts before and after non-surgical therapy with those observed at healthy implant sites. Methods: Peri-implant sulcus fluid was collected from patients with peri-implantitis and healthy implant controls at baseline, 90 days, and 180 days. The peri-implantitis group received non-surgical periodontal treatment, including scaling, root planing, and local antimicrobial therapy, while the control group received no intervention. Microbial DNA was extracted, and the V3–V4 region of the 16S rRNA gene was sequenced. Bioinformatic analysis was performed using DADA2 for sequence processing, principal coordinates analysis (PCoA) and PERMANOVA for community comparison, and MaAsLin2 for differential abundance testing. Alpha and beta diversity metrics were also calculated to assess microbial composition changes over time. Results: At baseline, peri-implantitis sites showed significantly lower alpha diversity than healthy implant sites and were enriched with Prevotella, Fusobacterium, Treponema denticola , and Porphyromonas gingivalis , while healthy sites were dominated by Streptococcus and Neisseria . At 90 days post-treatment, Haemophilus abundance increased in both groups, more prominently in the peri-implantitis group. By 180 days, peri-implantitis sites exhibited a partial microbial shift toward a healthier profile, characterized by increased Streptococcus and reduced pathogenic taxa. However, full restoration to a healthy microbiome was not achieved. The control group maintained a stable community composition, dominated by Veillonella and Neisseria . Conclusions: Peri-implantitis is characterized by a dysbiotic microbial community that only partially recovers following six months of non-surgical therapy. Although treatment promotes a shift toward a healthier microbiome, persistent imbalances remain, underscoring the need for targeted microbiome-based therapeutic approaches and long-term follow-up studies to optimize peri-implantitis management outcomes.

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Cite This Study

Thantrira Porntaveetus (2026) studied this question.

synapsesocial.com/papers/69c771838bbfbc51511e1739https://doi.org/10.4103/ijdr_202637s1_abs_02
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