scholarly journals Impact of Impaired Glucose Metabolism on Periodontitis Progression over Three Years

2022 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Oelisoa M. Andriankaja ◽  
Kaumudi Joshipura ◽  
Francisco Muñoz ◽  
Bruce A. Dye ◽  
Frank B. Hu ◽  
...  

We evaluated the relationship between glucose abnormalities and periodontitis in overweight/obese individuals. Eight hundred and seventy (870) diabetes-free participants aged 40–65 years completed the three-year follow-up in the San Juan Overweight Adults Longitudinal Study. The ADA thresholds for fasting and 2-h post-load glucose and HbA1c were used to define prediabetes. The NHANES methods were used to assess periodontitis. Multivariable linear regression was used to evaluate the relationship between baseline glucose metabolism measures and periodontitis at follow-up, adjusting for potential confounders. There was no association between impaired glucose measures and mean pocket depth (PD), mean clinical attachment loss (CAL), or mean percent of sites ≥5 mm PD. Impaired glucose tolerance (IGT) was associated with a lower mean percent of sites ≥5 mm CAL (β = −1.6, p = 0.037). Prediabetes and impaired fasting glucose (IFG) were associated with improvement in mean percent of sites ≥5 mm PD (β = −1.4, p = 0.022; β = −1.6, p = 0.032; respectively). IFG and IGT were associated with improvement in mean percent of sites with ≥5 mm CAL (β = −1.6, p = 0.038; β = −1.9, p = 0.020; respectively). In conclusion, there were no consistent associations between baseline prediabetes or insulin resistance and periodontitis progression over a three-year period.

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1812-P
Author(s):  
MARIA D. HURTADO ◽  
J.D. ADAMS ◽  
MARCELLO C. LAURENTI ◽  
CHIARA DALLA MAN ◽  
CLAUDIO COBELLI ◽  
...  

2017 ◽  
Vol 11 (4) ◽  
pp. 365-372 ◽  
Author(s):  
Nina Rautio ◽  
Tuulia Varanka-Ruuska ◽  
Eeva Vaaramo ◽  
Saranya Palaniswamy ◽  
Rozenn Nedelec ◽  
...  

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Gorica G. Ristić ◽  
Vesna Subota ◽  
Dejana Stanisavljević ◽  
Danilo Vojvodić ◽  
Arsen D. Ristić ◽  
...  

Abstract Objective To explore glucose metabolism in rheumatoid arthritis (RA) and its association with insulin resistance (IR) risk factors and disease activity indicators, including matrix metalloproteinase-3 (MMP3). Methods This single-center study included 127 non-diabetic subjects: 90 RA patients and 37 matched controls. IR-related risk factors, disease activity (DAS28-ESR/CRP), concentrations of inflammation markers, MMP3, glucose, specific insulin, and C-peptide (a marker of β-cell secretion) were determined. Homeostasis Model Assessment was used to establish insulin resistance (HOMA2-IR) and sensitivity (HOMA2-%S). Associations of HOMA2 indices with IR-related risk factors, inflammation markers, and RA activity were tested using multiple regression analyses. Results RA patients had significantly increased HOMA2-IR index than controls. In the RA group, multivariate analysis revealed DAS28-ESR, DAS28-CRP, tender joint counts, patient’s global assessment, and MMP3 level as significant positive predictors for HOMA2-IR (β = 0.206, P = 0.014; β = 0.192, P = 0.009; β = 0.121, P = 0.005; β = 0.148, P = 0.007; β = 0.075, P = 0.025, respectively), and reciprocal negative for HOMA2-%S index. According to the value of the coefficient of determination (R2), DAS28-ESR ≥ 5.1 has the largest proportion of variation in both HOMA2-IR indices. DAS28-ESR ≥ 5.1 and ESR were independent predictors for increased C-peptide concentration (β = 0.090, P = 0.022; β = 0.133, P = 0.022). Despite comparability regarding all IR-related risk factors, patients with DAS28-ESR ≥ 5.1 had higher HOMA2-IR than controls [1.7 (1.2–2.5) vs. 1.2 (0.8–1.4), P = 0.000]. There was no difference between patients with DAS28-ESR < 5.1 and controls [1.3 (0.9–1.9) vs. 1.2 (0.8–1.4), P = 0.375]. Conclusions RA activity is an independent risk factor for impaired glucose metabolism. DAS28-ESR ≥ 5.1 was the main contributor to this metabolic disturbance, followed by MMP3 concentration, outweighing the impact of classic IR-related risk factors.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Naotaka Akutsu ◽  
Riku Arai ◽  
Daisuke Fukamachi ◽  
Yasuo Okumura

Introduction: Insulin resistance has been recognized as the cause of cardiovascular disease, but little is known about the influence of insulin resistance to neointimal characteristics after stent implantation. Hypothesis: The high triglyceride-glucose index (TyG index) has been reported to indirectly represent a high insulin resistance. It was hypothesized that in-stent neointimal characteristics in the high TyG index patients may be unstable more than the low TyG index patients. Methods: In 100 patients, we investigated the relationship between the neointimal characteristics and the TyG index using coronary angioscopy (CAS) and optical coherence tomography (OCT) during follow-up angiography after stent implantation. We divided into 2 groups according to the median value of TyG index (8.8). Results: The high TyG index group (n=48) had the higher yellow grade and the higher prevalence of yellow grade 3 by CAS than the low TyG index group (n=52). The prevalence of heterogeneous and layered patterns were more often observed by OCT in the high TyG index group than in the low TyG index group (Figure). Conclusions: The high TyG index strongly associated with neointimal vulnerability evaluating by CAS and OCT. The TyG index can be a useful predictor for the neointimal vulnerability after stent implantation.


PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211070 ◽  
Author(s):  
Jessica Ares ◽  
Sergio Valdés ◽  
Patricia Botas ◽  
Cecilia Sánchez-Ragnarsson ◽  
Sandra Rodríguez-Rodero ◽  
...  

2014 ◽  
Vol 18 (1) ◽  
pp. 122-129 ◽  
Author(s):  
Maria Wennberg ◽  
Per E Gustafsson ◽  
Patrik Wennberg ◽  
Anne Hammarström

AbstractObjectiveTo analyse whether poor breakfast habits in adolescence predict the metabolic syndrome and its components in adulthood. Previous studies suggest that regular breakfast consumption improves metabolic parameters.DesignProspective. Breakfast habits and other lifestyle variables at age 16 years were assessed from questionnaires. Poor breakfast habits were defined as skipping breakfast or only drinking or eating something sweet. At age 43 years, the effective sample consisted of 889 participants defined as having the metabolic syndrome or not, using the International Diabetes Federation criteria. Logistic regression was used to calculate odds ratios and confidence intervals.SettingThe Northern Swedish Cohort, a longitudinal population-based cohort with 27-year follow-up.SubjectsAdolescents (age 16 years).ResultsPrevalence of the metabolic syndrome at age 43 years was 27·0 %. Of the participants, 9·9 % were classified with poor breakfast habits at age 16 years. Adjusted odds for the metabolic syndrome at age 43 years was OR = 1·68 (95 % CI 1·01, 2·78) for those with poor breakfast habits at age 16 years compared with breakfast eaters. Looking at the metabolic syndrome components, poor breakfast habits at age 16 years were associated with central obesity (OR = 1·71; 95 % CI 1·00, 2·92) and high fasting glucose (OR = 1·75; 95 % CI 1·01, 3·02) at age 43 years, even after multivariate adjustments.ConclusionsPoor breakfast habits in adolescence predicted the metabolic syndrome in adulthood. Of the metabolic syndrome components, poor breakfast habits in adolescence predicted central obesity and high fasting glucose in adulthood. Further research is needed to fully understand the relationship between early breakfast habits and adult metabolic syndrome.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nils B. Jørgensen ◽  
Kirstine N. Bojsen-Møller ◽  
Carsten Dirksen ◽  
Christoffer Martinussen ◽  
Maria S. Svane ◽  
...  

Abstract To describe glucose metabolism in the late, weight stable phase after Roux-en-Y Gastric Bypass (RYGB) in patients with and without preoperative type 2 diabetes we invited 55 RYGB-operated persons from two existing cohorts to participate in a late follow-up study. 44 (24 with normal glucose tolerance (NGT)/20 with type 2 diabetes (T2D) before surgery) accepted the invitation (median follow-up 2.7 [Range 2.2–5.0 years]). Subjects were examined during an oral glucose stimulus and results compared to preoperative and 1-year (1 y) post RYGB results. Glucose tolerance, insulin resistance, beta-cell function and incretin hormone secretion were evaluated. 1 y weight loss was maintained late after surgery. Glycemic control, insulin resistance, beta-cell function and GLP-1 remained improved late after surgery in both groups. In NGT subjects, nadir glucose decreased 1 y after RYGB, but did not change further. In T2D patients, relative change in weight from 1 y to late after RYGB correlated with relative change in fasting glucose and HbA1c, whereas relative changes in glucose-stimulated insulin release correlated inversely with relative changes in postprandial glucose excursions. In NGT subjects, relative changes in postprandial nadir glucose correlated with changes in beta-cell glucose sensitivity. Thus, effects of RYGB on weight and glucose metabolism are maintained late after surgery in patients with and without preoperative T2D. Weight loss and improved beta-cell function both contribute to maintenance of long-term glycemic control in patients with type 2 diabetes, and increased glucose stimulated insulin secretion may contribute to postprandial hypoglycemia in NGT subjects.


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