Aim: Periodontitis is correlated with type 2 diabetes mellitus (T2DM), but little is known about glycaemic status effect on subgingival microbiota associated with periodontitis. This study evaluated if periodontal microbiome of T2DM patients is affected by glycaemic status.
Materials And Methods: Twenty-one T2DM non-smoking patients with chronic periodontitis and body mass index ≤40 kg/m were allocated into two groups according to systemic glycaemic status: inadequate (DMI- HbA1c ≥ 8%) and adequate (DMA- HbA1c <7.8%). Subgingival biofilm was collected from sites with moderate (PD = 4-6 mm) and severe disease (PD ≥ 7 mm) in two quadrants. The V5-V6 hypervariable region of the 16SrRNA was sequenced using the GS-FLX-454 Titanium platform. Sequences were compared with HOMD database using QIIME and PhyloToAST pipelines. Statistical comparisons were made using two-sample t-tests.
Results: DMA microbiome presented higher diversity than DMI. Inadequate glycaemic control favoured fermenting species, especially those associated with propionate/succinate production, whereas those forming butyrate/pyruvate was decreased in DMI. Higher abundances of anginosus group and Streptococcus agalactiae in DMI may indicate that subgingival sites can be reservoir of potentially invasive pathogens. Altered subgingival microbiome in DMI may represent an additional challenge in the periodontal treatment of these patients and in the prevention of more invasive infections.
Conclusion: Glycaemic status in T2DM patients seems to modulate subgingival biofilm composition.
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http://dx.doi.org/10.1111/jcpe.12908 | DOI Listing |
Zhonghua Liu Xing Bing Xue Za Zhi
January 2025
Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing100050, China.
To explore the association between pre-diabetes and glomerular hyperfiltration status in residents in China. The study subjects were the non-diabetes population in China Chronic Disease and Risk Factor Surveillance in 2018. According to the definition of prediabetes, the study subjects were divided into normoglycemic and pre-diabetes groups, and multivariate factorial logistic regression model was used to analyze the association between prediabetes and the risk for glomerular hyperfiltration and glomerular filtration rate decline, respectively.
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Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Background: Type 2 diabetes (T2D) has been linked to changes in DNA methylation levels, which can, in turn, alter transcriptional activity. However, most studies for epigenome-wide associations between T2D and DNA methylation comes from cross-sectional design. Few large-scale investigations have explored these associations longitudinally over multiple time-points.
View Article and Find Full Text PDFObes Res Clin Pract
January 2025
Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea. Electronic address:
Objective: To explore the effects of semaglutide versus placebo on body weight (BW) by subgroups of baseline characteristics.
Methods: In STEP 6, Japanese and Korean adults with overweight or obesity were randomized to subcutaneous semaglutide 2.4 mg, semaglutide 1.
J Clin Endocrinol Metab
January 2025
College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois.
Context: Sleep health is multidimensional. While studies have shown associations between certain sleep dimensions and health in type 1 diabetes (T1D), global sleep health has rarely been considered.
Objective: To examine the associations between individual sleep dimensions and multidimensional sleep health (MSH) on glycemic control and self-reported outcomes in T1D.
J Steroid Biochem Mol Biol
January 2025
Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Medicine, VA Medical Center, St. Louis, MO, USA; Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address:
Targeting optimal glycemic control based on hemoglobin A1c (A1c) values reduces but does not abolish the onset of diabetic kidney disease and its progression to chronic kidney disease (CKD). This suggests that factors other than the average glucose contribute to the residual risk. Vitamin D deficiency and frequent episodes of acute hyperglycemia (AH) are associated with the onset of albuminuria and CKD progression in diabetes.
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