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Lipid Oxidation Assessed by Indirect Calorimetry Predicts Metabolic Syndrome and Type 2 Diabetes

Artikel i vetenskaplig tidskrift
Författare A. Pujia
E. Mazza
Y. Ferro
C. Gazzaruso
A. Coppola
P. Doldo
R. D. Grembiale
R. Pujia
Stefano Romeo
T. Montalcini
Publicerad i Frontiers in Endocrinology
Volym 9
ISSN 1664-2392
Publiceringsår 2019
Publicerad vid Institutionen för medicin, avdelningen för molekylär och klinisk medicin
Språk en
Länkar dx.doi.org/10.3389/fendo.2018.00806
Ämnesord lipid oxidation, metabolic syndrome, diabetes, respiratory quotient, calorimetry, abdominal fat distribution, insulin-resistance, skeletal-muscle, risk-factors, molecular-mechanisms, adipose-tissue, obesity, acid, sensitivity, disease, Endocrinology & Metabolism
Ämneskategorier Endokrinologi och diabetes

Sammanfattning

Purpose: Diabetes has been linked to an impaired ability to oxidize fatty acids. Fat oxidation can be assessed clinically by a respiratory quotient measurement during fasting. We hypothesized that a respiratory quotient might predict metabolic syndrome and type 2 diabetes onset. Methods: In this longitudinal study we used an existing database of 233 individuals who had complete nutritional and biochemical data at baseline and after 12-month follow-up. All participants underwent an indirect calorimetry to measure the respiratory quotient. We excluded participants with diabetes, metabolic syndrome, chronic diseases, and those who had changed food habits in the previous 3 months. Only 88 subjects met the inclusion criteria. Results: Two individuals developed type 2 diabetes and 10 metabolic syndrome after 1 year. Participants in the high respiratory quotient group (>0.91) had a higher incidence of metabolic syndrome/diabetes than those in the low quotient group (25 vs. 8% p = 0.04). In this group, mean basal respiratory quotient was 0.97 +/- 0.04. In the high respiratory quotient group, Kaplan-Meier curves showed a greater probability of having metabolic syndrome/diabetes than those in the low respiratoryquotient group (log Rank chi(2)-test = 8.44; p = 0.004). A multivariable Cox proportional hazards model demonstrated that energy expenditure and weight increase did not predict metabolic syndrome/diabetes [HR (95% CI) = 1 (0.996-1.005), p = 0.86 and 3.9 (0.407-38.061), p = 0.23, respectively). Conclusions: A greater probability of metabolic syndrome/diabetes was found in individuals with a basal respiratory quotient of >0.91 than in those with a respiratoryquotient of <= 0.91 after 1 year. In the short-term anthropometric measurements and their variation overtime were not correlated with metabolic syndrome/diabetes.

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