1. Serum uric acid potentially links metabolic health to measures of fuel use in lean and obese individuals
- Author
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Roberta Vietti, Marco Zavattaro, Paolo Marzullo, Mariantonella Tagliaferri, Gianluca Aimaretti, Chiara Mele, S. Mai, Massimo Scacchi, and G. Saraceno
- Subjects
Adult ,Male ,0301 basic medicine ,medicine.medical_specialty ,Adolescent ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Medicine (miscellaneous) ,030204 cardiovascular system & hematology ,Energy homeostasis ,Young Adult ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,Electric Impedance ,medicine ,Humans ,Resting energy expenditure ,Obesity ,Adiposity ,Retrospective Studies ,Nutrition and Dietetics ,business.industry ,Insulin ,Leptin ,Calorimetry, Indirect ,Middle Aged ,medicine.disease ,Uric Acid ,Respiratory quotient ,Cross-Sectional Studies ,030104 developmental biology ,Endocrinology ,chemistry ,Uric acid ,Female ,Energy Metabolism ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers ,Homeostasis - Abstract
Uric acid (UA) is a byproduct of the high-energy purine metabolism and is conventionally regarded as a marker of cardio-metabolic impairment. Its potential relationship with energy homeostasis is unknown to date.In a cross-sectional study on 121 otherwise healthy obese and 99 sex- and-age-matched lean subjects, UA levels were analyzed in relation to metabolic health, inflammatory markers, respiratory quotient (RQ) and resting energy expenditure (REE) as assessed by indirect calorimetry, fat mass (%FM) and fat-free mass (FFM) as determined by bioimpedance analysis. As expected, obese and lean subjects differed in BMI, glucolipid homeostasis, leptin and insulin levels, inflammatory markers, %FM and FFM (p 0.001 for all). Likewise, UA levels (p 0.001) and rates of hyperuricaemia (40.5% vs 3.0%, p 0.0001) were also higher in obese than lean controls. Further, indirect calorimetry confirmed that obesity increased REE and decreased RQ significantly (p 0.001). Beyond the expected metabolic correlates, in individual and merged groups UA levels were associated negatively with RQ and positively with REE (p 0.0001 for both). In multivariable regression analysis, significant independent predictors of UA were BMI and sex. When BMI was replaced by measures of body composition, %FM and FFM emerged as significant predictors of serum UA (p 0.0001).A potential link relates serum UA to measures of resting energy expenditure and their determinants.
- Published
- 2018
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