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Biomedical subjects

G van Lingen

Publications and source records attributed to G van Lingen.

4 recordsLinked to original sources

Pharmacokinetics from a dynamical systems point of view.

The pharmacological action of many drugs depends on several variables at the same time and therefore will be dominated by an attractor of a dimension greater than zero. The pharmacokinetic behavior is likely to be dominated by a zero dimensional point attractor so that it is highly predictable. Pharmacokinetics is discussed from a dynamical systems point of view, whereby the transport of drugs in the tissues and organs is considered a stochastic process characterized by density functions of transit times and blood flows. In the body, the tissues and organs are arranged in parallel, in series, and in a feedback-loop fashion. Consequently, the single-pass transport of drugs through the body is again a stochastic process characterized by the density function of total body transit times, the cardiac output, and the total body extraction. The drug molecules, however, may pass through the body several times before ultimately leaving the system by metabolism or excretion. As a result, the body may be regarded as a positive feedback system with the pulmonary circulation (and its tissues) as the forward transfer function and the systemic circulation (with all its tissues) as the feedback transfer function. Consequently, the total body transport function (closed loop) is again a stochastic process characterized by a density function of total body residence times. The relationship between the body transit time distribution and the body residence distribution is determined by the feedback-loop arrangement, the cardiac output, and the extraction ratio which can easily be written in the Laplace domain. The pharmacokinetic parameters logically follow from the systems approach. They are the cardiac output, the mean transit time, the extraction ratio, the clearance, the volume of distribution in steady state, the mean residence time, and the average number of recirculations. The dynamic systems approach in pharmacokinetics has been illustrated with some examples notably with caffeine.

Absorption↗

Pharmacokinetics of morphine in cerebrospinal fluid and plasma after epidural administration in man.

The morphine concentration in serum as well as in cerebrospinal fluid (CSF) after epidural administration of 0.1 mg/kg morphine to 10 patients undergoing aortic abdominal surgery, was determined. Model independent pharmacokinetic parameters in serum and CSF i.e. mean residence time (MRT), clearance (Cl) and apparent volume of distribution were calculated from the concentration time curves using a non-linear square regression fitting programme. Peak concentration of morphine in serum (86 ng/ml) and in CSF (2610 ng/ml) was reached after 10 min respectively 40 min of epidural injection.

Adult↗

Non-specific binding of insulin in an equilibrium binding assay of insulin antibodies.

In liquid phase assays for insulin binding antibodies (IBA), total binding of insulin is composed of specific and non-specific binding (NSB). Sometimes NSB is determined in serum of healthy individuals and then subtracted from total binding of IBA positive serum to obtain specific binding. This method does not take into account that NSB might vary from plasma to plasma. This possibility was investigated by means of a computerised non-linear curve fitting routine for the evaluation of measurement results of an (equilibrium) binding assay for IBA, which yields estimates of NSB for each plasma individually. From each of 19 insulin treated diabetic patients, 4 blood samples, taken at different points in time, were available for IBA and NSB measurement. It was found that inter-patient variance of NSB exceeded within-patient variance (p less than 0.01) and, in a number of instances, within-patient variance was greater than experimental variance. Our results indicate that it is advisable to use methods of IBA evaluation that take these NSB variations into account.

Antibodies↗