Early detection of metabolic and energy disorders by thermal time series stochastic complexity analysis

Autor(es)

N.A. Lutaif ^[1] ; R. Palazzo Jr ^[2] ; J.A.R. Gontijo ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Dept Clin Med, Fac Ciencias Med, BR-13083887 Campinas, SP - Brazil

^[2] Univ Estadual Campinas, Dept Telemat, Fac Engn Eletr & Comp, BR-13083887 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Brazilian Journal of Medical and Biological Research; v. 47, n. 1, p. 70-79, 2014-01-17.

Resumo

Maintenance of thermal homeostasis in rats fed a high-fat diet (HFD) is associated with changes in their thermal balance. The thermodynamic relationship between heat dissipation and energy storage is altered by the ingestion of high-energy diet content. Observation of thermal registers of core temperature behavior, in humans and rodents, permits identification of some characteristics of time series, such as autoreference and stationarity that fit adequately to a stochastic analysis. To identify this change, we used, for the first time, a stochastic autoregressive model, the concepts of which match those associated with physiological systems involved and applied in male HFD rats compared with their appropriate standard food intake age-matched male controls (n=7 per group). By analyzing a recorded temperature time series, we were able to identify when thermal homeostasis would be affected by a new diet. The autoregressive time series model (AR model) was used to predict the occurrence of thermal homeostasis, and this model proved to be very effective in distinguishing such a physiological disorder. Thus, we infer from the results of our study that maximum entropy distribution as a means for stochastic characterization of temperature time series registers may be established as an important and early tool to aid in the diagnosis and prevention of metabolic diseases due to their ability to detect small variations in thermal profile. (AU)

• Processo FAPESP: 11/05997-8 - Efeitos da Estimulação Térmica Periódica em um Oscilador Fisiológico Não Linear de Ciclo-Limite
• Beneficiário: Nelson Afonso Lutaif
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 10/52696-0 - Estudo dos mecanismos envolvidos no desenvolvimento renal e na expressão hipocampo-hipotalamo-hipofisaria de receptores esteróides e dopaminérgicos em prole de ratas submetidas a restrição protéica gestacional
• Beneficiário: Jose Antonio Rocha Gontijo
• Modalidade de apoio: Auxílio à Pesquisa - Regular