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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
N.A. Lutaif [1] ; R. Palazzo Jr [2] ; J.A.R. Gontijo [1]
Total Authors: 3
Affiliation:
[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
Total Affiliations: 2
Document type: Journal article
Source: Brazilian Journal of Medical and Biological Research; v. 47, n. 1, p. 70-79, 2014-01-17.
Abstract

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)

FAPESP's process: 11/05997-8 - Effects of Thermic Stimulation in a Periodic Nonlinear Physiological Oscillator Limit Cycle
Grantee:Nelson Afonso Lutaif
Support Opportunities: Scholarships in Brazil - Post-Doctoral