Periodontitis induced by Porphyromonas gingivalis drives periodontal microbiota dysbiosis and insulin resistance via an impaired adaptive immune response

作者：Vincent Blasco‐Baqué, Lucile Garidou, Celine Pomié, Quentin Escoula, Pascale Loubières, Sandrine Le Gall‐David, Mathieu Lemaitre, Simon Nicolas, Pascale Klopp, Aurélie Waget, Vincent Azalbert, André Colom, Martine Bonnaure‐Mallet, Philippe Kémoun, Matteo Sérino, Rémy Burcelin · 发表于：Gut · 年份：2016 · DOI：10.1136/gutjnl-2015-309897 · 被引用次数：335 · 研究领域：Oral microbiology and periodontitis research、Gut microbiota and health、Diabetes and associated disorders

Objective To identify a causal mechanism responsible for the enhancement of insulin resistance and hyperglycaemia following periodontitis in mice fed a fat-enriched diet. Design We set-up a unique animal model of periodontitis in C57Bl/6 female mice by infecting the periodontal tissue with specific and alive pathogens like Porphyromonas gingivalis ( Pg ), Fusobacterium nucleatum and Prevotella intermedia . The mice were then fed with a diabetogenic/non-obesogenic fat-enriched diet for up to 3 months. Alveolar bone loss, periodontal microbiota dysbiosis and features of glucose metabolism were quantified. Eventually, adoptive transfer of cervical (regional) and systemic immune cells was performed to demonstrate the causal role of the cervical immune system. Results Periodontitis induced a periodontal microbiota dysbiosis without mainly affecting gut microbiota. The disease concomitantly impacted on the regional and systemic immune response impairing glucose metabolism. The transfer of cervical lymph-node cells from infected mice to naive recipients guarded against periodontitis-aggravated metabolic disease. A treatment with inactivated Pg prior to the periodontal infection induced specific antibodies against Pg and protected the mouse from periodontitis-induced dysmetabolism. Finally, a 1-month subcutaneous chronic infusion of low rates of lipopolysaccharides from Pg mimicked the impact of periodontitis on immune and metabolic parameters. Conclusions We identified that insulin ...