Impact of glycaemic status on the subgingival microbiome in diabetes

Summarised from:

Glycaemic status affects the subgingival microbiome of diabetic patients
(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12908)

Authors:

Priscila L. Longo, Shareef Dabdoub, Purnima Kumar, Hilana P. C. Artese, Sergio A. Dib, Giuseppe A. Romito, Marcia Pinto Alves Mayer

Summarised by:

Dr Varkha Rattu

Research Topic:

Background + Aims

  • The human microbiome plays a vital role in health, with links between gut microbiota and metabolic disorders like type 2 diabetes mellitus (T2DM).
  • The oral microbiota, particularly the subgingival microbiome, is thought to be influenced by diabetes.
  • Chronic periodontitis (CP) is more common in patients with diabetes, and their subgingival microbiota is thought to differ from patients without diabetes, harbouring higher levels of pathogens such as Porphyromonas gingivalis and Tannerella forsythia.
  • It has been hypothesised that poor glycaemic control can alter microbial composition in periodontal pockets, with elevated HbA1c levels creating a glucose-rich gingival environment that may further challenge the subgingival microbiota.
  • This study explores the subgingival microbiome of CP patients with varying glycaemic status.

Materials + Methods

  • The study included 21 T2DM patients (HbA1c > 6.5%) diagnosed for ≥3 years and prescribed oral hypoglycaemic medication.
  • Participants were recruited from endocrinology clinics and underwent oral examinations at the University of São Paulo, Brazil.
  • Inclusion criteria were:
    • Age ≥40 years old
    • ≥15 natural teeth
    • Severe periodontitis – ≥30% of sites with probing depth (PD) ≥4 mm and ≥20 sites with PD >6 mm.
  • Exclusion criteria included:
    • HIV
    • Hepatitis
    • Cancer history
    • Smoking
    • Alcohol use
    • Pregnancy
    • Morbid obesity (BMI ≥40 kg/m²).
  • HbA1c levels were measured 15 days before plaque sample collection, classifying patients into 2 groups:
    • Adequate glycaemic control (DMA) (HbA1c <7.8%, DMA group, n=11)
    • Inadequate control (DMI) (HbA1c ≥8%, DMI group, n=10)
  • Subgingival biofilm samples were collected from moderate (PD 4–6 mm) and deep pockets (PD ≥7 mm) using mini-five Gracey curettes.
    • Samples were pooled by pocket depth, transferred to TE buffer, frozen at −80°C, and subjected to DNA extraction using the Master Pure DNA Extraction Kit.
  • Statistical analyses were performed to compare microbial diversity and community composition between groups.

Results

  • The study analysed subgingival microbiota in 21 T2DM patients with adequate (DMA) and inadequate (DMI) glycaemic control. Despite similar clinical periodontal parameters, the two groups differed significantly in HbA1c levels (p < 0.001).
  • Microbial analyses revealed that:
    • DMA patients exhibited higher biodiversity compared to DMI (ANOSIM p = 0.022, Adonis p = 0.042).
    • The Firmicutes/Bacteroidetes ratio was comparable between groups, and periodontopathogens such as gingivalis and T. forsythia were prevalent in both groups, showing no significant differences.
    • At the phylum level (the broadest taxonomic classification within bacterial taxonomy), the study found that subgingival samples from DMI patients had a significantly lower abundance of Tenericutes compared to DMA patients.
    • DMA patients demonstrated higher levels of Alphaproteobacteria (a Proteobacteria), and Eubacteriaceae, Lachnospiraceae, and Peptostreptococcaceae (Firmicutes families).
    • DMI presented with lower proportions of certainTreponema species and exhibited higher levels of certain Prevotellaceaespecies within Bacteroidetes but lower levels of other phylotypes.
    • No significant differences were found for Fusobacteria, Synergistetes, or Actinobacteria between groups, though slight differences inCoriobacteriaceae and Atopobium levels were observed.

Limitations

  • The small sample size limits the generalisability of the findings, and larger studies are needed to confirm the observed differences in subgingival microbiota between patient with adequate (DMA) and inadequate (DMI) glycaemic control.
  • The study could not account for the long-term effects of oral hypoglycaemic medications, particularly metformin, on the oral microbiota.
  • The study relied on 16S rRNA sequencing, which identifies bacteria at a taxonomic level but does not provide insights into their functional roles or metabolic pathways.
  • Functional gene-based analyses are required to better understand how glucose availability impacts the subgingival microbiota’s metabolic activity.
  • There were no assessment of specific metabolic by-products, such as short-chain fatty acids (SCFAs), which could provide further evidence of the microbial changes linked to glycaemic status.

Conclusion

  • These findings indicate that inadequate glycaemic control may leads to a loss of microbial diversity and an increase in carbohydrate-utilising bacteria, it could not fully explain how these shifts impact periodontal disease progression.
  • Further research is needed to explore the impact of metabolic challenges on the oral microbiome and the implications for periodontal treatment outcomes in diabetic patients.
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Research  |  09.05.18

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