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              Tissue Engineering                                                                          829

              pentose phosphate, urea cycle, tricarboxylic acid cycle,  since evolved into metabolic flux balance models that
              fatty acid synthesis and oxidation) are interrelated through  can predict intracellular fluxes in complex metabolic net-
              common precursors and metabolic intermediates. Thus,  works. This methodology utilizes a stoichiometric model
              an enhanced perspective of metabolism and cellular  that describes the major intracellular reactions at steady
              function can be obtained by considering a framework  state. Extracellular fluxes, which correspond to rates of
              that incorporates all the major participating reactions,  consumption/production of extracellular metabolites, are
              rather than a few isolated ones. Two methodologies  experimentally determined, and intracellular fluxes are
              for the characterization and analysis of cell metabo-  calculated based on the stoichiometric constraints of the
              lism that are especially useful for the analyses of metab-  intracellular reaction network. This approach has been
              olic abnormalities in human disease are metabolic flux  used extensively to study and improve strains of microor-
              analysis and metabolic control analysis.          ganisms (bacteria and yeasts) of significance in biotech-
                Metabolic flux can be defined as the net rate of conver-  nology. As of now, applications of metabolic flux balance
              sion of one metabolic precursor to a product. Metabolic  models to mammalian cell systems have been more lim-
              flux analysis refers to the calculation of fluxes through  ited but are gaining in popularity.
              metabolic pathways. Two techniques are primarily used  The starting point in this analysis is the construction of a
              for flux determination: (1) mass isotopomer analysis, and  list of steady-state material balance equations to describe
              (2) extracellular metabolite balance models. Mass iso-  the conversion of substrates to metabolic products for the
              topomer analysis has been used extensively to quantitate  biochemical system of interest. For example, if one con-
              fluxes in mammalian cells and tissues including brain,  siders a simplified scheme of amino acid metabolism in
              heart, and liver. In this approach, the body is fed, or the iso-  liver, one can write a set of steady-state material balance
              lated tissue is perfused with, substrates labeled with stable  equations that represent the flow of metabolites through
                         13
              isotopes (e.g., C). A different labeling pattern of metabo-  the network (Fig. 9). The equations contain measurable
              lites in the blood, perfusate, and/or tissue extract arises de-  quantities(thesearemarkedwithanasterisk)whicharethe
              pending on the pathways utilizing these substrates. The la-  rates of consumption/production of extracellular metabo-
              beling patterns are experimentally determined by nuclear  lites. The concentrations of strictly intracellular metabo-
              magnetic resonance or mass spectroscopy. These labeling  lites (e.g., argininosuccinate) are assumed to be constant.
              patterns are analyzed in conjunction with a mathematical  In this particular case, we have eight fluxes to be deter-
                                                                                                  ∗
                                                                                                           ∗
                                                                                                        ∗
                                                                                               ∗
              model to calculate the fluxes through the various pathways  mined, five of which are measurable (F ,F ,F ,F ,F ).
                                                                                                     ∗
                                                                                               1  2  4  7  8
              which best account for the observed labeling patterns. Al-  The five equations listed here, which relate these fluxes
              though isotopomer analysis is a powerful and generally  to each other, can be reduced to four independent equa-
              noninvasive method, stably labeled compounds and the  tions. Thus, the system can be solved to yield the three
              instruments required to determine the isotopomer distri-  unknown intracellular fluxes (F 1 ,F 2 ,F 4 ). Because the sys-
              butions of key metabolites are relatively expensive.  tem is overdetermined, it provides an internal check for
                Material balances of whole-body macronutrients have  consistency of the data with each other and the assumed
              been used since the 19th century for evaluating bulk ma-  biochemistry.
              terial processing with the body (e.g., to study the con-  While this method is very useful, there is a limit to
              version of carbohydrates to fat). Material balances have  the extent to which complex metabolic networks can be



















                     FIGURE 9 System of mass balance equations describing the flow of metabolites through the urea cycle of hepato-
                     cytes. Measurable fluxes are labeled with a star.
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