Body fat indices and biomarkers of inflammation: a cross-sectional study with implications for obesity and peri-implant oral health.

@article{Elangovan2014BodyFI,
  title={Body fat indices and biomarkers of inflammation: a cross-sectional study with implications for obesity and peri-implant oral health.},
  author={Satheesh Elangovan and Kim A. Brogden and Deborah V. Dawson and Derek R. Blanchette and Keyla Pag{\'a}n-Rivera and Clark M. Stanford and Georgia K. Johnson and Erica N. Recker and Robert L Bowers and William G. Haynes and Gustavo {\'A}vila-Ortiz},
  journal={The International journal of oral \& maxillofacial implants},
  year={2014},
  volume={29 6},
  pages={
          1429-34
        }
}
PURPOSE To examine the relationships between three measures of body fat-body mass index (BMI), waist circumference (WC), and total body fat percent-and markers of inflammation around dental implants in stable periodontal maintenance patients. MATERIALS AND METHODS Seventy-three subjects were enrolled in this cross-sectional assessment. The study visit consisted of a physical examination that included anthropologic measurements of body composition (BMI, WC, body fat %); intraoral assessments… 

Figures and Tables from this paper

Body fat indices and biomarkers of inflammation in saliva: a cross-sectional analysis with implications for obesity and peri-implant oral health

The primary objective of this study was to determine the association between obesity as measured by the body fat indices [body mass index (BMI), waist circumference (WC), and body fat percent (fat %)] and the levels of inflammatory biomarkers in saliva and the correlations between these biomarkers and peri-implant sulcular fluid and gingival crevicular fluid samples collected from the same subjects.

A cross-sectional assessment of biomarker levels around implants versus natural teeth in periodontal maintenance patients.

The results of this study point to the differential expression of specific biomarkers in GCF versus their levels in PISF in periodontal maintenance patients, which is critical information before establishing P ISF as a diagnostic fluid to monitor peri-implant health.

Clinical indices and local levels of inflammatory biomarkers in per‐implant health of obese and nonobese individuals

Clinical peri-implant parameters were worse and proinflammatory biomarkers were significantly higher in obese patients compared with nonobese subjects, and the findings suggest that increased pro inflammatory biomarkers in PICF of obese patients may modulate peri -implant inflammation around dental implants.

Novel biomarkers of periodontitis and/or obesity in saliva-An exploratory analysis.

Systemic Inflammation, Obesity, and Single Nucleotide Polymorphisms Impact on Gingival Inflammation: A Clinical Pilot Study

Whether an association exists between inflammatory markers and measures of adiposity, C-reactive protein (CRP) levels in serum and gingival crevicular fluid, and selected single nucleotide polymorphisms (SNPs) in CRP genes with GCF CRP is investigated.

Comparison of clinical and radiographic peri-implant parameters among obese and non-obese patients: A 5-year study.

It is recommended that clinicians should educate obese patients about risk of increased peri-implant tissue inflammation and susceptibility to bone loss and stipulate stringent oral hygiene care for ideal peri -implant health.

Obesity/Metabolic Syndrome and Diabetes Mellitus on Peri-implantitis

Obesity and periodontal disease – An overview

A rationale that indicates that the presence of periodontal pockets which can harbor pathogenic microorganisms can evoke a host response and elicit a systemic effect is indicated.

Body Mass Index as a Predictive Factor of Periodontal Therapy Outcomes

BMI and obesity appear to be independent predictors of poor response following non-surgical periodontal therapy in patients with severe periodontitis, similar to that of smoking.

Prediction of Abdominal Visceral Obesity From Body Mass Index, Waist Circumference and Waist-hip Ratio in Chinese Adults: Receiver Operating Characteristic Curves Analysis

Measurements of BMI, WC, and WHR can be used in the prediction of abdominal visceral obesity, of which WC was the one with better accuracy.

Obesity and periodontitis in 60-70-year-old men.

It is concluded that obesity was associated with periodontitis in the homogeneous group of 60-70-year-old European men investigated and high BMI levels in early life did not predict periodontritis in later life in the men studied.

Interleukin-11, interleukin-1beta, interleukin-12 and the pathogenesis of inflammatory periodontal diseases.

IL-11 levels are significantly decreased in GCF from sites with periodontitis compared with G and healthy sites, indicating that IL-11 may be an important factor in the therapeutic modulation of periodontal disease.

Body mass index as a predictor of percent fat in college athletes and nonathletes.

BMI should be used cautiously when classifying fatness in college athletes and nonathletes, and the results support the need for different BMI classifications of overweight in these populations.

Detection and measurement of inflammatory cytokines in implant crevicular fluid: a pilot study.

Results indicate that interleukin-1 beta is present in implant gingival crevicular fluid and may be modulating attachment loss in implants suffering from peri-implantitis.