Salivary levels of uric acid, insulin and HOMA: A promising field of study to non-invasively identify obese children at risk of metabolic syndrome and fatty liver

Belmonte, F.; Bisogno, A.; Troisi, Jacopo; Landolfi, Annamaria; Lausi, O.; Lamberti, Rossella; Nuzio, Salvatore Guercio; Pierri, Luca; Siano, Maria; Viggiano, Claudia; Vajro, Pietro

doi:10.1016/j.dld.2017.09.017

Cited by 4 publications

(2 citation statements)

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“…To identify an even more easily accessible and readily obtained biofluid for possible minimally invasive disease recognition [ 16 ], few studies have shown saliva suitability for investigations of individual metabolites of oxidative stress in obesity [ 17 ] and obesity-related MetS/NAFLD [ 4 , 18 ]. We showed that salivary testing of uric acid, glucose, insulin and HOMA together with selected anthropometric parameters may help to identify noninvasively obese children with hepatic steatosis and/or having MetS components [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Metabolomic Salivary Signature of Pediatric Obesity Related Liver Disease and Metabolic Syndrome

et al. 2019

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Pediatric obesity-related metabolic syndrome (MetS) and nonalcoholic fatty liver disease (NAFLD) are increasingly frequent conditions with a still-elusive diagnosis and low-efficacy treatment and monitoring options. In this study, we investigated the salivary metabolomic signature, which has been uncharacterized to date. In this pilot-nested case-control study over a transversal design, 41 subjects (23 obese patients and 18 normal weight (NW) healthy controls), characterized based on medical history, clinical, anthropometric, and laboratory data, were recruited. Liver involvement, defined according to ultrasonographic liver brightness, allowed for the allocation of the patients into four groups: obese with hepatic steatosis ([St+], n = 15) and without hepatic steatosis ([St–], n = 8), and with (n = 10) and without (n = 13) MetS. A partial least squares discriminant analysis (PLS-DA) model was devised to classify the patients’ classes based on their salivary metabolomic signature. Pediatric obesity and its related liver disease and metabolic syndrome appear to have distinct salivary metabolomic signatures. The difference is notable in metabolites involved in energy, amino and organic acid metabolism, as well as in intestinal bacteria metabolism, possibly reflecting diet, fatty acid synthase pathways, and the strict interaction between microbiota and intestinal mucins. This information expands the current understanding of NAFLD pathogenesis, potentially translating into better targeted monitoring and/or treatment strategies in the future.

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Section: Introductionmentioning

confidence: 99%

Metabolomic Salivary Signature of Pediatric Obesity Related Liver Disease and Metabolic Syndrome

et al. 2019

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“…Several salivary metabolites have been correlated with plasma levels previously [ 106 , 108-111 ], suggesting the potential use of salivary markers without the need for blood collection. Salivary metabolomics data can become a promising tool for screening obesity-related phenotypes due to the minimally invasive collection procedures of saliva [ 48 , 106 , 111 , 112 ].…”

Section: Discussionmentioning

confidence: 99%

Salivary Metabolomic Signatures and Body Mass Index in Italian Adolescents: A Pilot Study

India-Aldana

Valvi

Joshi

et al. 2023

Journal of the Endocrine Society

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Context Obesity surveillance is scarce in adolescents and little is known on whether salivary metabolomics data, emerging minimally invasive biomarkers, can characterize metabolic patterns associated with overweight or obesity in adolescents. Objective This pilot study aims to identify the salivary molecular signatures associated with body mass index (BMI) in Italian adolescents. Methods Saliva samples and BMI were collected in a subset of n=74 young adolescents enrolled in the Public Health Impact of Metal Exposure (PHIME) study (2007-2014). A total of 217 untargeted metabolites were identified using LC-HRMS. Robust linear regression was used to cross-sectionally determine associations between metabolomic signatures and sex-specific BMI-for-age z-scores (z-BMI). Results Nearly 35% of the adolescents (median age: 12 years; 51% females) were either obese or overweight. A higher z-BMI was observed in males compared to females (p=0.02). One nucleoside (deoxyadenosine) and two lipids (18:0-18:2 phosphatidylcholine and dipalmitoyl-phosphoethanolamine) were negatively related to z-BMI (p<0.05), whereas two benzenoids (3-hydroxyanthranilic acid and a phthalate metabolite) were positively associated with z-BMI (p<0.05). In males, several metabolites including deoxyadenosine, as well as deoxycarnitine, hyodeoxycholic acid, N-methylglutamic acid, bisphenol P, and trigonelline were downregulated, while three metabolites (3-hydroxyanthranilic acid, theobromine/theophylline/paraxanthine, and alanine) were upregulated in relation to z-BMI (p<0.05). In females, deoxyadenosine and dipalmitoyl-phosphoethanolamine were negatively associated with z-BMI while deoxycarnitine and a phthalate metabolite were positively associated (p<0.05). A single energy-related pathway was enriched in the identified associations in females (carnitine synthesis, p=0.04). Conclusion Salivary metabolites involved in nucleotide, lipid, and energy metabolism were primarily altered in relation to BMI in adolescents.

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Salivary and Urinary Metabolome in Pediatric Obesity and Metabolic Syndrome

Troisi

Marcianò

Scala

et al. 2020

Obesity and Diabetes

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Salivary levels of uric acid, insulin and HOMA: A promising field of study to non-invasively identify obese children at risk of metabolic syndrome and fatty liver

Cited by 4 publications

References 0 publications

Metabolomic Salivary Signature of Pediatric Obesity Related Liver Disease and Metabolic Syndrome

Metabolomic Salivary Signature of Pediatric Obesity Related Liver Disease and Metabolic Syndrome

Salivary Metabolomic Signatures and Body Mass Index in Italian Adolescents: A Pilot Study

Salivary and Urinary Metabolome in Pediatric Obesity and Metabolic Syndrome

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