Application of multivariate analysis for optimizing & predicting hepatic function

C. Chan, D. Hwang, G. Stephanopoulous, G. N. Stephanopoulous, M. L. Yarmush

Research output: Contribution to journalConference articlepeer-review

Abstract

An optimization model based upon multivariate analysis was developed to capture hepatic specific function in relation to the environmental condition and the intracellular metabolic network and the flux information obtained from Metabolic Flux Analysis (MFA). Fisher Discriminant Analysis (FDA) was applied to maximize the discrimination among groups thus permitting visualization of the sample separation between different conditions. FDA identified factors that contribute greatly to the separation of the groups. Mapping fluxes to a hepatic function permits an examination of the interrelationship of the fluxes and captures the hepatic function in terms of the metabolic profile. Partial Least Square (PLS) was the mapping technique applied to evaluate the effect of metabolic state on hepatic function, namely, the levels of intracellular triglyceride or urea production. This methodology identified fluxes most relevant to minimizing the accumulation of intracellular triglyceride and maximizing the production of urea, two important hepatic functions. In the study, 75 metabolic fluxes were mapped to measured levels of intracellular triglyceride or urea. Once a mapping model was constructed, analyzing the model parameters permitted the assessment of how the metabolic profile, in turn, pathways collectively regulate and control hepatic function by identifying pathways that are highly correlated with the hepatic function.

Original languageEnglish (US)
Pages (from-to)724-725
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - 2002
Externally publishedYes
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Keywords

  • Bioartificial liver
  • Fischer discriminant analysis
  • Hepatic specific function
  • Hepatocyte
  • Metabolic flux analysis
  • Partial least square

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