Early insulin changes and the development of gum pockets

Summarised from:

Role of insulin sensitivity and beta cell function in the development of periodontal disease in adults without diabetes

(Journal of Clinical Periodontology; doi: 10.1111/jcpe.12162)

Authors:

Petra Timonen, Tuomas Saxlin, Matti Knuuttila, Anna Liisa Suominen, Antti Jula, Tellervo Tervonen, Pekka Ylöstalo

Summarised by:

Dr Varkha Rattu

Research Topic:

Why does this matter?

Changes in the way the body handles insulin may occur before diabetes is diagnosed. Researchers explored whether these changes were associated with later deterioration in gum health.

What was studied?

A Finnish study followed 157 adults without diabetes who did not smoke and had no periodontal pockets at the start. Blood glucose and insulin were used to calculate HOMA-IR, an estimate of insulin resistance, and HOMA-B, an estimate of insulin-producing cell function. Gum examinations were repeated about four years later to identify teeth with deeper pockets.

What did the researchers find?

People in the highest insulin-resistance group developed more affected teeth than those in the lowest group. After statistical adjustments, the estimated rate was about 1.7 times higher. A similar, less precise association was reported for HOMA-B. The associations were weaker in participants with a body mass index in the normal range, suggesting that body size was relevant to interpretation. These measurements do not establish that insulin-producing cells were failing.

What does this mean for me?

This study raises the possibility that metabolic changes and gum health are connected before diabetes develops. It does not show that an insulin test can predict an individual’s dental future, or that treating insulin resistance prevents gum pockets. The practical value lies in recognising oral and general health together, while using a dental examination to assess your own needs.

What should I keep in mind?

Following people over time helps researchers study the order of events, but it does not remove all uncertainty. People with different health or dental histories may also differ in medicines, smoking, access to care and other influences. Some participants may be missing from later assessments. Statistical adjustments cannot fully account for everything. The results describe patterns in the people studied, not a personal forecast. They should be considered alongside other research and your own clinical findings when discussing their relevance to you.

Read the full article Back to Research

Research  |  10.09.13

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