Multivalent antigens (Ags) such as membrane proteins can be quantitated by using sandwich enzyme-linked immunosorbent assays (ELISAs), which typically show sensitivity from 0.1 to 50 ng/ml. The percentage of antigen that binds in the log-log linear region reflects the affinity of the capture antibody (CAb), and the range of linearity for assays conducted with a particular CAb is proportional to the antibody (Ab) concentration. The sandwich ELISA titration plot reflects the actual amount of Ag bound when asymmetrical configurations are used; steric hindrance that occurs with certain symmetrical configurations, especially when enzyme-Ab conjugates of greater than or equal to 10(6) daltons are used, can alter this relationship. Monoclonal CAbs bind less Ag than polyclonal CAbs. Immobilization of monoclonal CAbs by using a modified avidin-biotin system can result in greater antigen capture capacity (AgCC) than when the Abs are directly adsorbed on plastic. Adsorption of proteins on polystyrene is noncovalent and proportional to the amount added for up to 150 ng/200 microliter in a microtiter well. Adsorption can result in substantial loss of antigenic or antibody activity. Desorption is continuous at a low level and can negatively influence the results of an immunoassay. Data from microtiter sandwich ELISAs can be readily acquired and analyzed by using a computer-based analysis system (ELISANALYSIS) written for the IBM PC. This analytical system considers the immunochemical principles of sandwich ELISAs predicted theoretically and demonstrated empirically.

The observations in an experiment define a set of observational parameters that are functions of the basic kinetic parameters of the model of the system. The problem of identifiability is concerned with whether the observational parameters uniquely specify the basic kinetic parameters. As such, it depends only on the functional relation between the two levels of parameters and not on errors of observation and the estimation procedure. It should be checked before doing the experiment. Given initial estimates of the basic kinetic parameters, identifiability can be checked, in a local sense, from data generated by simulating the experiment on the model.

Cytochrome P-450 is the terminal oxidase of an electron transport system that is responsible for the oxidative metabolism of a large variety of endogenous and exogenous compounds. This broad substrate selectivity is caused by multiple isozymes of cytochrome P-450 and the wide substrate selectivity of many of these isozymes. We have isolated 11 isozymes of cytochrome P-450 from the livers of rats (cytochromes P-450a-P-450k). We have found both polyclonal and monoclonal antibodies increasingly useful to distinguish among these isozymes and to quantitate enzyme levels in liver microsomal preparations where as many as 15 or more cytochrome P-450 isozymes are present. Several of these isozymes show considerable immunochemical relatedness to each other, and operationally they can be grouped into families of immunochemically related isozymes that include cytochromes P-450b and P-450e in one family, cytochromes P-450c and P-450d in another, and cytochromes P-450f-P-450i, and P-450k in a third family. Immunoquantitation of some of these isozymes has revealed dramatic increases of over 50-fold in the levels of certain of these isozymes when exogenous compounds are administered to rats.

There is a twofold rationale for assaying acetylcholinesterase (AChE) (EC 3.1.1.7) immunologically, rather than by conventional activity-based methods: to measure the amount of enzyme protein in samples that may contain AChE of uncertain intrinsic activity; to bypass cumbersome procedures for determining the individual molecular forms of the enzyme. We have developed an immunodisplacement assay and a two-site immunoassay for AChE that are sensitive enough to measure the enzyme in samples of biological interest (assay thresholds of 10 and 0.1 ng, respectively). We have also used immunofluorescence with quantitative cell sorting as a means of analyzing AChE immunoreactivity in normal and abnormal human red blood cells. The introduction of form-specific immunoassays awaits the identification of suitably selective antibodies.

Endothelial cells (EC) isolated from bovine brain microvessels produce a continuous monolayer when grown in primary culture. The EC are joined together by tight junctions and contain few pinocytotic vesicles. Horseradish peroxidase (HRP) is unable to penetrate this in vitro barrier system. Exposure of the cells to 1.6 M arabinose produces a reversible separation of the tight junctions with penetration of HRP across the monolayer in a pattern similar to that observed in animals after infusion of hyperosmotic solutions into the carotid artery. The behavior of brain microvascular cells in culture suggest that they retain properties important to the formation of the blood-brain barrier.

Changes in vascular permeability are associated with structural damage to endothelial cells. These functional and structural changes can be produced experimentally and examined by using intimal explants from bovine pulmonary artery. Correlation of functional with structural changes allows us to dissect the mechanisms responsible for endothelial damage. We have shown that incubation of intimal explants with histamine causes transient formation of interendothelial dilatations and an increased rate of equilibration of tritiated water and [14C]sucrose across the intimal explant. Exposure to endotoxin also causes interendothelial dilatations but the endothelial damage is more severe than that with histamine, and in vivo experiments show a more prolonged increase in pulmonary vascular permeability. Leukocyte migration has also been suggested to result in a decreased barrier function of the endothelial layer. Experiments with the endothelial layer of intimal explants and separated bovine leukocytes suggest that transendothelial migration may depend on the chemotactic stimulus. Neither granulocyte migration toward zymosan-activated plasma nor lymphocyte migration toward lymphocyte-conditioned medium (RPMI in which lymphocytes were incubated with concanavalin A) leads to detectable increases in explant permeability, but granulocyte migration toward lymphocyte-conditioned medium does result in increased equilibration of [14C]sucrose. Finally, a theoretical model has been used to examine the permeability changes seen for the intimal explants exposed to histamine. The model consists of two compartments with radioactive tracers diffusing across a filter of known permeability. Such a model gives good agreement with data obtained in intact sheep, indicating that mathematical models allow quantitative estimates of barrier function in intimal explants that compare favorably with in vivo data.

The barrier function of the endothelial monolayer has not been extensively investigated using the cultured endothelium. The in vitro approach may contribute to a more complete understanding of microvessel wall permeability. Our studies using an in vitro endothelial monolayer system have led us to the following conclusions: the endothelial monolayer is more permeable to small-molecular-weight substances than to large molecules; the permeability of albumin is different for endothelial cells derived from different vascular sites (higher for pulmonary venous than pulmonary arterial endothelium); basement membrane components may have a significant role in the permeability of albumin across the endothelium; control of endothelial monolayer permeability is determined not only by the characteristics of the macromolecule (i.e., size and charge) but also by the shape of the endothelial cells and the size of interendothelial space.

The transendothelial transfer of macromolecules has been difficult to study because of the complexities of the in vivo models. We have developed a model of an endothelium cultured on a permeable support and used it to characterize the transendothelial transfer of albumin. Porcine pulmonary artery endothelial cells form a single layer of cells lining the gelatin-impregnated polycarbonate micropore filters, and the cells develop junctional structures similar to endothelial tight junctions observed in vivo. The monolayer resists the flow of electrical current, and the resistance is sensitive to extracellular calcium concentrations. Albumin transfer across the cultured monolayers was found to be asymmetric, and the rate of transfer from interstitium to lumen was greater than that from lumen to interstitium. The asymmetric transfer occurred against a concentration gradient and was abolished by treating the monolayer with NaCN. Increasing albumin concentrations increased the rate of interstitial to luminal transfer, and the process demonstrated saturation at an interstitial albumin concentration of 725 microM. These data point out the usefulness of the in vitro preparation to identify potentially important aspects of transendothelial transport that would be difficult to detect in vivo.

The widely held concept that the lung transmicrovascular liquid flux occurs primarily across septal vessels has not been experimentally verified. In fact, the recent literature suggests that much if not all of the flux may occur across extraseptal vessels. Support for this idea is available from morphological studies, from segmental filtration data, and from micropuncture data concerning lung microvascular and interstitial pressures. Recent split-drop measurements of lung venular hydraulic conductivity suggest that the surface area of filtration in the lung may be considerably smaller than presumed. The view is advanced that a major portion of lung filtration may occur in the preseptal microcirculation.

Drug-receptor relationships are governed by a host of environmental and physiological influences, which reduce the predictability of the therapeutic response to an administered dose of a drug. The management of patient therapy is aided by models that encompass the broadest aspects of the situation, from the probabilistic aspects of drug administration to the accuracy of the assay procedures for evaluating therapeutic efficacy.

The dynamics of complex systems can be effectively analyzed by judicious use of intrinsic time constants. Order of magnitude estimation based on time constants has been used successfully to examine the dynamic behavior of complicated processes. The main goal of this paper is to introduce this approach to the analysis of complex metabolic systems. Time constants and dynamic modes of motion are defined within the context of well-established linear algebra. The order of magnitude estimation is then introduced into the systemic framework. The main goals of the analysis are: to provide improved understanding of biochemical dynamics and their physiological significance, and to yield reduced dynamic models that are physiologically realistic but tractable for practical use.

Modeling is a means of formulating and testing complex hypotheses. Useful modeling is now possible with biological laboratory microcomputers with which experimenters feel comfortable. Artificial intelligence (AI) is sufficiently similar to modeling that AI techniques, now becoming usable on microcomputers, are applicable to modeling. Microcomputer and AI applications to physiological system studies with multienzyme models and with kinetic models of isolated enzymes are described. Using an IBM PC microcomputer, we have been able to fit kinetic enzyme models; to extend this process to design kinetic experiments by determining the optimal conditions; and to construct an enzyme (hexokinase) kinetics data base. We have also used a PC to do most of the constructing of complex multienzyme models, initially with small simple BASIC programs; alternative methods with standard spreadsheet or data base programs have been defined. Formulating and solving differential equations in appropriate representational languages, and sensitivity analysis, are soon likely to be feasible with PCs. Much of the modeling process can be stated in terms of AI expert systems, using sets of rules for fitting and evaluating models and designing further experiments. AI techniques also permit critiquing and evaluating the data, experiments, and hypotheses being modeled, and can be extended to supervise the calculations involved.

Scientific understanding in physics or physiology is based on models or theories devised to describe what is known, within the limits imposed by observation error. Carefully integrated models can be used for prediction, and the inferences assessed via further experiments designed to test the adequacy of the theory summarizing the state of knowledge. This is the systems approach, the basis of theoretical physiology; the models, like those of theoretical physics, should be firmly based on fundamental reproducible observations of a physical or chemical nature, held together with the principles of mathematics, logic, and the conservation of mass and energy. Modern computing power is such that comprehensive models can now be constructed and tested. For this approach data sets should include as many simultaneously obtained items of information of differing sorts as possible to reduce the degrees of freedom in fitting models to data. By taking advantage of large memories and rapid computation, modular construction techniques permit the formulation of multimodels covering more than a single hierarchical level, and thereby allow the investigator to understand the effects of controllers at the molecular level on overall cell or organism behavior. How does this influence the research and teaching practices of physiology? Because the computer also allows a new type of collaboration involving the networking of ideas, data bases, analytical techniques, and experiment designing, investigators in geographically distributed individual laboratories can plan, work, and analyze in concert. The prediction from this socioscientific model is therefore that networked computer-based modeling will serve to coalesce the ideas and observations of enlarging groups of investigators.