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Application of multivariate autoregressive modelling for analysis of immunologic networks in man

Authors
Journal
Mathematical and Computer Modelling
0895-7177
Publisher
Elsevier
Volume
11
Identifiers
DOI: 10.1016/0895-7177(88)90602-4
Keywords
  • Autoregressive Modelling
  • Immunologic System
  • Biofeedback System
Disciplines
  • Biology
  • Medicine

Abstract

Abstract We tried to apply Akaike's method of multivariate autoregressive modelling for analyzing immunologic networks in man. Autoregressive coefficients were obtained from clinically obtained chronologic data by means of a lest squares method and were used to compute Akaike's relative power contribution. By the analysis with this latter concept, it was suggested that, in a patient with systemic lupus erythematodes (SLE), slower components of the movements of T8+ lymphocytes are governed almost exclusively by those of T4+ lymphocytes, indicating the malfunction of T8 lymphocytes, including suppressor T-cells, in such a patient when compared to a normal control subject. The obtained autoregressive coefficients also enabled us to make a state space representation of the system under study and thereby to simulate an impulse response of the system in pathologic conditions. The present approach may provide a standardized method for analyzing immunologic networks in the body.

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