1. Subgingival Microbiota and Longitudinal Glucose Change: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS)
- Author
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Demmer, RT, Trinh, P, Rosenbaum, M, Li, G, LeDuc, C, Leibel, R, González, A, Knight, R, Paster, B, Colombo, PC, Desvarieux, M, Papapanou, PN, and Jacobs, DR
- Subjects
Diabetes ,Clinical Research ,Prevention ,Metabolic and endocrine ,Adult ,Blood Glucose ,Diabetes Mellitus ,Female ,Gingiva ,Glucose ,Glucose Intolerance ,Humans ,Infections ,Insulin Resistance ,Male ,Microbiota ,Middle Aged ,RNA ,Ribosomal ,16S ,Young Adult ,microbiome ,diabetes risk ,periodontal ,epidemiology ,impaired glucose regulation ,periodontitis ,Dentistry - Abstract
Microbial communities along mucosal surfaces throughout the digestive tract are hypothesized as risk factors for impaired glucose regulation and the development of clinical cardiometabolic disease. We investigated whether baseline measures of subgingival microbiota predicted fasting plasma glucose (FPG) longitudinally. The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) enrolled 230 diabetes-free adults (77% female) aged 20 to 55 y (mean ± SD, 34 ± 10 y) from whom baseline subgingival plaque and longitudinal FPG were measured. DNA was extracted from subgingival plaque, and V3 to V4 regions of the 16S rRNA gene were sequenced. FPG was measured at baseline and again at 2 y; glucose change was defined as follow-up minus baseline. Multivariable linear models regressed 2-y glucose change onto baseline measures of community diversity and abundances of 369 individual taxa. A microbial dysbiosis index (MDI) summarizing top individual taxa associated with glucose change was calculated and used in regression models. Models were adjusted for age, sex, race/ethnicity, education, smoking status, body mass index, and baseline glucose levels. Statistical significance was based on the false discovery rate (FDR;
- Published
- 2019