Application of multivariate analysis for optimizing & predicting hepatic function

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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)
    Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Pages724-725
    Number of pages2
    Volume1
    StatePublished - 2002
    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

    Other

    OtherProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
    CountryUnited States
    CityHouston, TX
    Period10/23/0210/26/02

    Profile

    Fluxes
    Hereditary Corneal Dystrophies
    Anthralin
    Urea
    Conjunctival Diseases
    Ocular Fixation
    Multivariate Analysis
    Discriminant analysis
    Blood Flow Velocity
    Metabolic Networks and Pathways
    Basement Membrane
    Visualization

    Keywords

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

    ASJC Scopus subject areas

    • Bioengineering

    Cite this

    Chan, C., Hwang, D., Stephanopoulous, G., Stephanopoulous, G. N., & Yarmush, M. L. (2002). Application of multivariate analysis for optimizing & predicting hepatic function. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 1, pp. 724-725)

    Application of multivariate analysis for optimizing & predicting hepatic function. / Chan, C.; Hwang, D.; Stephanopoulous, G.; Stephanopoulous, G. N.; Yarmush, M. L.

    Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 2002. p. 724-725.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Chan, C, Hwang, D, Stephanopoulous, G, Stephanopoulous, GN & Yarmush, ML 2002, Application of multivariate analysis for optimizing & predicting hepatic function. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 1, pp. 724-725, Proceedings 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, 23-26 October.
    Chan C, Hwang D, Stephanopoulous G, Stephanopoulous GN, Yarmush ML. Application of multivariate analysis for optimizing & predicting hepatic function. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1. 2002. p. 724-725.

    Chan, C.; Hwang, D.; Stephanopoulous, G.; Stephanopoulous, G. N.; Yarmush, M. L. / Application of multivariate analysis for optimizing & predicting hepatic function.

    Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 2002. p. 724-725.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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