Diet quality and periodontal disease: Results from the oral infections, glucose intolerance and insulin resistance study (ORIGINS)

2021 ◽  
Vol 48 (5) ◽  
pp. 638-647
Author(s):  
Francesco DeMayo ◽  
Rebecca Molinsky ◽  
Muna J. Tahir ◽  
Sumith Roy ◽  
Jeanine M. Genkinger ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Periodontal Disease ◽  
Glucose Intolerance ◽  
Diet Quality ◽  
Oral Infections

scholarly journals Subgingival Microbiota and Longitudinal Glucose Change: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS)

2019 ◽  
Vol 98 (13) ◽  
pp. 1488-1496 ◽  
Author(s):  
R.T. Demmer ◽  
P. Trinh ◽  
M. Rosenbaum ◽  
G. Li ◽  
C. LeDuc ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Intolerance ◽  
Statistical Significance ◽  
Community Diversity ◽  
P Value ◽  
Rrna Gene ◽  
Subgingival Plaque ◽  
Oral Infections ◽  
Glucose Levels ◽  
Subgingival Microbiota

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; <0.05) or a Bonferroni-corrected P value of 1 × 10-4, derived from the initial 369 hypothesis tests for specific taxa. Mean 2-y FPG change was 1.5 ± 8 mg/dL. Baseline levels of 9 taxa predicted FPG change (all FDR <0.05), among which Stomatobaculum sp oral taxon 097 and Atopobium spp predicted greater FPG change, while Leptotrichia sp oral taxon 498 predicted lesser FPG change (all 3 P values, Bonferroni significant). The MDI explained 6% of variation in longitudinal glucose change ( P < 0.001), and baseline glucose levels explained 10% of variation ( P < 0.0001). FPG change values ± SE in the third versus first tertile of the MDI were 4.5 ± 0.9 versus 1.6 ± 0.9 ( P < 1 × 10-4). Subgingival microbiota predict 2-y glucose change among diabetes-free men and women.

Abstract P342: Periodontal Bacteria, Prevalent Prediabetes and Plasma Glucose Progression: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS)

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Ryan T Demmer ◽  
David R Jacobs ◽  
Richa Singh ◽  
Aleksandra Zuk ◽  
Michael Rosenbaum ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Intolerance ◽  
Plasma Glucose ◽  
Cardiometabolic Risk ◽  
Bacterial Species ◽  
Early Diabetes ◽  
Oral Infections ◽  
Actinomyces Naeslundii ◽  
Longitudinal Plasma

Introduction: Periodontal infections have been hypothesized as a cardiometabolic risk factor. The relationship between periodontal microbiota and early diabetes risk has not been studied. Hypothesis: We hypothesized that periodontopathic bacteria would be associated with both prevalent pre diabetes and accelerated longitudinal plasma glucose progression among diabetes-free adults. Methods: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) enrolled 300 diabetes-free adults (77% female) aged 20-55 years (mean=34±10). Prevalent prediabetes was defined as: i) 5.6%<HbA1C<6.5%; or ii) 99 mg/dL<fasting plasma glucose (FPG)<126 mg/dL. In 1,188 subgingival plaque samples, 11 bacterial species including Aggregatibacter actinomycetemcomitans (Aa), Porphyromonas gingivalis (Pg), Treponema denticola (Td), Tannerella forsythia (Tf) and Actinomyces naeslundii (An) were assessed at baseline. Modified Poisson regression evaluated prediabetes prevalence across bacterial tertiles. Risk ratios (RR), 95% confidence intervals (CI) for 3rd vs. 1st tertile are presented. Follow-up is ongoing but longitudinal FPG was available for interim analysis among the first n=100 recall-eligible participants (mean follow-up time=2±0.3 years). Mixed-effects regressions evaluated FPG time trends across baseline bacterial levels. All analyses were adjusted for cardiometabolic risk factors. Results: Prediabetes prevalence was 18% (54 of 300). RRs(95%CI) summarizing associations between bacteria and pre diabetes were as follows: Aa=2.48[1.34,4.58], p=0.004; Pg=3.41[1.78,6.58], p=0.0003; Td=1.99[0.992,4.00], p=0.052 and Tf=1.95[1.0,3.84], p=0.05; An=0.46[0.25,0.85], p=0.01. Among participants with high baseline values of Pg or Tf, FPG increased by ~2.5 mg/dl during follow-up (all p-values<0.05) while no FPG progression was observed among participants with low baseline bacterial levels. Conclusion: Periodontopathic microbiota are associated with both prevalent prediabetes and longitudinal plasma glucose increase among diabetes-free adults.

scholarly journals The subgingival microbiome, systemic inflammation and insulin resistance: The Oral Infections, Glucose Intolerance and Insulin Resistance Study

2017 ◽  
Vol 44 (3) ◽  
pp. 255-265 ◽  
Author(s):  
Ryan T. Demmer ◽  
Alexander Breskin ◽  
Michael Rosenbaum ◽  
Aleksandra Zuk ◽  
Charles LeDuc ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Intolerance ◽  
Systemic Inflammation ◽  
Oral Infections

scholarly journals Plasma Trimethylamine-N-oxide and impaired glucose regulation: Results from The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS)

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0227482 ◽  
Author(s):  
Sumith Roy ◽  
Melana Yuzefpolskaya ◽  
Renu Nandakumar ◽  
Paolo C. Colombo ◽  
Ryan T. Demmer
Keyword(s):  
Insulin Resistance ◽  
Glucose Intolerance ◽  
Glucose Regulation ◽  
Impaired Glucose Regulation ◽  
Oral Infections

Female 5[beta]-reductase knockout mice are protected from diet induced obesity, insulin resistance and glucose intolerance

2016 ◽  
Author(s):  
Laura Gathercole ◽  
Matthew Chapman ◽  
Dean Larner ◽  
Petra Klusonova ◽  
Trevor Penning ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Intolerance ◽  
Knockout Mice ◽  
Diet Induced Obesity

scholarly journals Association of Time-of-Day Energy Intake Patterns with Nutrient Intakes, Diet Quality, and Insulin Resistance

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 725
Author(s):  
Xiaoyun Song ◽  
Huijun Wang ◽  
Chang Su ◽  
Zhihong Wang ◽  
Feifei Huang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Energy Intake ◽  
Diet Quality ◽  
Latent Class ◽  
Asian Population ◽  
Time Of Day ◽  
Quality Score ◽  
Nutrient Intakes ◽  
Nutrition Survey ◽  
Dominant Pattern

Evidence shows time-of-day of energy intake are associated with health outcomes; however, studies of time-of-day energy patterns and their health implication are still lacking in the Asian population. This study aims to examine the time-of-day energy intake pattern of Chinese adults and to examine its associations with nutrient intakes, diet quality, and insulin resistance. Dietary data from three 24-h recalls collected during the 2015 China Health and Nutrition Survey (CHNS) were analyzed (n = 8726, aged ≥ 18 years). Time-of-day energy intake patterns were determined by latent class analysis (LCA). General Linear Models and Multilevel Mixed-effects Logistic Regression Models were applied to investigate the associations between latent time-of-day energy intake patterns, energy-adjusted nutrient intakes, diet quality score, and insulin resistance. Three time-of-day energy intake patterns were identified. Participants in the “Evening dominant pattern” were younger, had higher proportions of alcohol drinkers and current smokers. The “Evening dominant pattern” was associated with higher daily energy intake and a higher percentage of energy from fat (%) (p < 0.001), as well as higher insulin resistance risk (OR = 1.21; 95% CI: 1.05, 1.40), after adjusting for multivariate covariates. The highest diet quality score was observed in participants with “Noon dominant pattern” (p < 0.001). A higher proportion of energy in the later of the day was associated with insulin resistance in free-living individuals.

scholarly journals Increased Tumor Growth in Mice with Diet-Induced Obesity: Impact of Ovarian Hormones

Endocrinology ◽  
2006 ◽  
Vol 147 (12) ◽  
pp. 5826-5834 ◽  
Author(s):  
Shoshana Yakar ◽  
Nomeli P. Nunez ◽  
Patricia Pennisi ◽  
Pnina Brodt ◽  
Hui Sun ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Tumor Growth ◽  
Glucose Intolerance ◽  
Tumor Development ◽  
Tumor Growth Rate ◽  
Obese Mice ◽  
Female Mice ◽  
Diet Induced Obesity ◽  
Body Adiposity ◽  
Obese Female

Obesity increases the risk of many cancers in both males and females. This study describes a link between obesity, obesity-associated metabolic alterations, and the risk of developing cancer in male and female mice. The goal of this study was to evaluate the relationship between gender and obesity and to determine the role of estrogen status in obese females and its effect on tumor growth. We examined the susceptibility of C57BL/6 mice to diet-induced obesity, insulin resistance/glucose intolerance, and tumors. Mice were injected sc with one of two tumorigenic cell lines, Lewis lung carcinoma, or mouse colon 38-adenocarcinoma. Results show that tumor growth rate was increased in obese mice vs. control mice irrespective of the tumor cell type. To investigate the effect of estrogen status on tumor development in obese females, we compared metabolic parameters and tumor growth in ovariectomized (ovx) and intact obese female mice. Obese ovx female mice developed insulin resistance and glucose intolerance similar to that observed in obese males. Our results demonstrate that body adiposity increased in ovx females irrespective of the diet administered and that tumor growth correlated positively with body adiposity. Overall, these data point to more rapid tumor growth in obese mice and suggest that endogenous sex steroids, together with diet, affect adiposity, insulin sensitivity, and tumor growth in female mice.

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