title: Identification of a model of non-esterified fatty acids dynamics through genetic algorithms: the case of women with a history of gestational diabetes.
abstract: Elevation in non-esterified fatty acids (NEFA) has been shown to modulate insulin secretion and it is considered as a risk factor for the development of type 2 diabetes. Here we present a method that complements a mathematical model of NEFA kinetics with genetic algorithms for model identification. The complemented strategy allowed to assess parameters of NEFA kinetics and to get insight into their relationship with insulin during oral glucose tolerance tests in women with former gestational diabetes: (i) providing a reliable estimation of the model parameters, (ii) assuring the usability of the model, and (iii) promoting and facilitating its application in a clinical context.
authors.affiliation: Department of Mechanics, Politecnico di Torino, Turin, Italy. umberto.morbiducci@polito.it
authors.forename: Umberto
authors.initials: U
authors.lastname: Morbiducci
authors.forename: Giacomo
authors.initials: G
authors.lastname: Di Benedetto
authors.forename: Alexandra
authors.initials: A
authors.lastname: Kautzky-Willer
authors.forename: Marco A
authors.initials: MA
authors.lastname: Deriu
authors.forename: Giovanni
authors.initials: G
authors.lastname: Pacini
authors.forename: Andrea
authors.initials: A
authors.lastname: Tura
mesh_terms: D000328:Adult; D000465:Algorithms; D016022:Case-Control Studies; D003198:Computer Simulation; D016640:Diabetes, Gestational / Q000097:blood / Q000378:metabolism*; D005230:Fatty Acids, Nonesterified / Q000097:blood / Q000378:metabolism*; D005260:Female; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000097:blood / Q000378:metabolism; D007700:Kinetics; D008066:Lipolysis; D008954:Models, Biological; D049590:Postpartum Period / Q000097:blood / Q000378:metabolism; D011247:Pregnancy
chemical_list: D005230:Fatty Acids, Nonesterified; D007328:Insulin