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Biomedical subjects

I A Nimmo

Publications and source records attributed to I A Nimmo.

At least 55 records · Page 3Linked to original sources

Methods for fitting equations with two or more non-linear parameters.

1. Descriptions are given of two ways for fitting non-linear equations by least-squares criteria to experimental data. One depends on solving a set of non-linear simultaneous equations, and the other on Taylor's theorem. 2. It is shown that better parameter estimates result when an equation with two or more non-linear parameters is fitted to all the sets of data simultaneously than when it is fitted to each set in turn.

Enzymes↗

Two methods for fitting a rectangular hyperbola to data from several animals.

Two methods are described for fitting the Michaelis-Menten equation to sets of data with a common michaelis constant but different maximum velocities. One of them uses the method of least squares, and the other is based on the direct plot of Eisenthal & Cornish-Bowden [Biochem. J. (1974) 139, 715-720].

Animals↗

Equilibrium-dialysis studies of the interaction between cholic acid and 100000g-supernatant preparations from the rat liver.

1. The binding of cholic acid to 100000g supernatants from rat livers was investigated by equilibrium dialysis and gel-exculsion chromatography. 2. Supernatants were found to contain at least two classes of binding site for cholic acid. 3. These recptor molecules are probably proteins since incubation with proteolytic enzymes resulted in complete loss of cholic acid binding. 4. Supernatants were added to columns of Sephadex G-75, and two groups of fractions were shown to bind cholic acid. One of these contained low-affinity binding sites and the other contained both low- and high-affinity binding sites. 5. Feeding cholestyramine had no effect on cholic acid binding. 6. Increased cholic acid binding occurred after injection of phenobarbitone. There was an increase in the amount of the low-affinity component but no change in the high-affinity component. 7. The dissociation constants of the binding of cholic acid suggest that the binding proteins may be involved in bile acid transport.

Animals↗

Turnover of plasma glucose and free fatty acids in patients on the first day after myocardial infarction.

1. The turnover of plasma glucose and free fatty acids was measured in ten patients within 24 h of the onset of symptoms of acute myocardial infarction and in two with symptoms of acute myocardial ischaemia. The measurements were repeated in seven of the patients 12-40 weeks after the acute episode. 2. Both for the patients with acute myocardial infarction alone and for all the individuals studied the turnover of glucose increased with plasma glucose concentration but was not related to the turnover of free fatty acids or the plasma concentrations of free fatty acids, insulin or total catecholamines. There was no obvious difference in the nature of the glucose turnover-concentration relationship between the patients with acute myocardial infarction, with acute myocardial ischaemia and on re-examination. 3. For all the individuals studied the turnover of free fatty acids increased with the concentration of these but was not related to the turnover of glucose or the plasma concentrations of glucose, insulin or total catecholamines. There was no obvious difference in the nature of the free fatty acids turnover-concentration relaionship between the patients with acute myocardial infarction, with acute myocardial ischaemia and on re-examination.

Adult↗

The relationship between GSH, GSSG and non-GSH thiol in GSH-deficient erythrocytes from Finnish landrace and Tasmanian merino sheep.

1. Two automated colorimetric methods have been developed for assaying the GSH and total thiol in protein-free extracts of erythrocytes. They employ as chromogens 5,5'-dithiobis-(2-nitrobenzoate) (DTNB) and alloxan. 2. The concentrations of GSH, GSSG and total non-protein thiol have been estimated in high and low GSH erythrocytes from Finnish Landrace and Tasmanian Merino sheep. 3. In both breeds of sheep low GSH cells were found to have low concentrations of total non-protein thiol and GSSG as well as of GSH. 4. Nevertheless high and low GSH cells have similar values for the oxidation-reduction potential of the GSH : GSSG couple.

Alloxan↗

GSH biosynthesis in glutathione deficient erythrocytes from Finnish landrace and Tasmanian merino sheep.

1. The maximum activities of the enzymes for the biosynthesis of GSH (gamma-glutamyl-cysteine synthetase and GSH synthetase) have been assayed in high GSH and low GSH erythrocytes from Tasmanian Merino and Finnish Landrace sheep. 2. For the Merinos, the activities (mumol product/g haemoglobin per min +/- S.E.M. (n)) in the high and low GSH erythrocytes respectively were: gamma-glutamyl-cysteine synthetase: 0.776 +/- 0.065 (11) and 0.375 +/- 0.063 (13); and GSH synthetase: 0.069 +/- 0.003 (11) and 0.066 +/- 0.002 (13). 3. For the Finnish Landrace sheep the activities in the high and low GSH erythrocytes respectively were: gamma-glutamyl-cysteine synthetase: 0.595 +/- 0.063 (12) and 0.555 +/- 0.033 (10) and gamma-glutamyl-cysteine synthetase: 0.073 +/- 0.002 (12) and 0.070 +/- 0.002 (10). 4. gamma-Glutamyl-cysteine synthetase was markedly inhibited by physiological GSH concentrations. No evidence was found for the presence of an inhibitor of GSH biosynthesis (other than GSH) in low GSH erythrocytes from Finnish Landrace sheep. 5. Although for the Merinos the low GSH trait can be explained in terms of a diminished activity of gamma-glutamyl-cysteine synthetase, no such explanation is tenable for the Finnish Landrace sheep.

Adenosine Triphosphate↗

A comparison of seven methods for fitting the Michaelis-Menten equation.

The Michaelis-Menten equation was fitted to simulated data containing different sorts of error by using the three linear transformations, and the methods of S. R. Cohen [Anal. Biochem. (1968) 22, 549-552], R. Eisenthal & A. Cornish-Bowden [Biochem. J. (1974) 139, 715-120], F. de M. Merino [Biochem. J. 143, 93-95] and G. N. Wilkinson [Biochem. J. (1961) 808 324-332). The best methods were those of Eisenthal & Cornish-Bowden (1974) and Wilkinson (1961).

Kinetics↗

A comparison of two methods for fitting the integrated Michaelis-Menten equation.

The methods of Atkins & Nimmo (1973) and Fernley (1974) for fitting the integrated Michaelis-Menten equation were compared by using the same sets of simulated experimental data. The method of Fernley (1974) is to be preferred because it gives precise and unbiased estimates of the Michaelis-Menten parameters over a wide range of substrate concentrations. However, the estimates may not be symmetrically distributed, especially at low substrate concentrations.

Catalysis↗

The effect of systematic error on the accuracy of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation.

Systematic errors in initial substrate concentration (s(0)), product concentration and reaction time give much larger errors in the Michaelis-Menten parameters unless s(0) is treated as an unknown parameter. These errors are difficult to detect because the fitted curve deviates little from the data. The effect of non-enzymic reaction is also examined.

Enzymes↗

The reliability of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation.

1. Experimental progress curves were simulated for a reaction obeying Michaelis-Menten kinetics. 2. K(m) and V were estimated (a) by fitting the integrated Michaelis-Menten equation to the progress curves, and (b) from the initial slopes of the curves (i.e. from initial velocities). 3. The integrated equation could not be fitted successfully by a non-linear method, so it was transformed and fitted by a linear method. 4. Provided that the initial substrate concentration was greater than K(m) and the data were precise enough, the integrated equation gave parameter estimates which were unbiased and as reliable as those derived from initial velocities although based on fewer experiments. 5. The integrated equation could be used for progress curves of unknown origin.

Binding, Competitive↗