PLoS ONE (Jan 2014)

Metabolic disease risk in children by salivary biomarker analysis.

  • J Max Goodson,
  • Alpdogan Kantarci,
  • Mor-Li Hartman,
  • Gerald V Denis,
  • Danielle Stephens,
  • Hatice Hasturk,
  • Tina Yaskell,
  • Jorel Vargas,
  • Xiaoshan Wang,
  • Maryann Cugini,
  • Roula Barake,
  • Osama Alsmadi,
  • Sabiha Al-Mutawa,
  • Jitendra Ariga,
  • Pramod Soparkar,
  • Jawad Behbehani,
  • Kazem Behbehani,
  • Francine Welty

DOI
https://doi.org/10.1371/journal.pone.0098799
Journal volume & issue
Vol. 9, no. 6
p. e98799

Abstract

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The study of obesity-related metabolic syndrome or Type 2 diabetes (T2D) in children is particularly difficult because of fear of needles. We tested a non-invasive approach to study inflammatory parameters in an at-risk population of children to provide proof-of-principle for future investigations of vulnerable subjects.We evaluated metabolic differences in 744, 11-year old children selected from underweight, normal healthy weight, overweight and obese categories by analyzing fasting saliva samples for 20 biomarkers. Saliva supernatants were obtained following centrifugation and used for analyses.Salivary C-reactive protein (CRP) was 6 times higher, salivary insulin and leptin were 3 times higher, and adiponectin was 30% lower in obese children compared to healthy normal weight children (all P<0.0001). Categorical analysis suggested that there might be three types of obesity in children. Distinctly inflammatory characteristics appeared in 76% of obese children while in 13%, salivary insulin was high but not associated with inflammatory mediators. The remaining 11% of obese children had high insulin and reduced adiponectin. Forty percent of the non-obese children were found in groups which, based on biomarker characteristics, may be at risk for becoming obese.Significantly altered levels of salivary biomarkers in obese children from a high-risk population, suggest the potential for developing non-invasive screening procedures to identify T2D-vulnerable individuals and a means to test preventative strategies.