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DOI 10.1109/tbme.2021.3124143

Медицинская библиотека · IEEE transactions on bio-medical engineering · 2022

A New Oral Model to Assess Postprandial Lactate Production Rate.

Bonet Jacopo, Galuppo Brittany, Santoro Nicola, DallaMan Chiara

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

OBJECTIVE

Pediatric obesity predisposes children and adolescents to early onset insulin resistance and dysglycemia. In the last 20 years this has led to a rise in the prevalence of prediabetes, diabetes and fatty liver in youngsters, due to the high degree of insulin resistance experienced by these patients and the consequent high availability of glucose. As glucose accesses the liver, it is partly metabolized through glycolysis, whose main product is pyruvate that is then converted into Acetyl CoA and lactate. Therefore, lactate production rate (LPR) represents the best proxy for the assessment of glycolysis. Since to date there are not methods to estimate postprandial LPR, here we proposed a novel oral glucose-lactate model to estimate LPR during an oral glucose tolerance test and tested it in 24 youth with and without obesity.

METHODS

The model is based on the oral glucose minimal model and assumes that LPR is a fraction (fr) of glucose disposal rate, proportional to glucose concentration and controlled by insulin action.

RESULTS

The model well fitted the glucose and lactate data, and provided both precise parameter estimates (e.g., fr = 22.5 [12.6-54.1]%, median [IQR]), CV = 18 [13-25]%) and LPR time course.

CONCLUSIONS

The proposed model is a valid tool to assess LPR, and thus glycolysis, during OGTT in nondiabetic subjects.

SIGNIFICANCE: The proposed methodology will allow to assess postprandial LPR in simple and cost-effective way.

Для цитирования: Bonet Jacopo, Galuppo Brittany, Santoro Nicola, DallaMan Chiara. A New Oral Model to Assess Postprandial Lactate Production Rate.. IEEE transactions on bio-medical engineering. 2022. DOI: 10.1109/tbme.2021.3124143.

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