Access the full text.
Sign up today, get DeepDyve free for 14 days.
D. Marquardt (1963)
An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of The Society for Industrial and Applied Mathematics, 11
G. Atkins, I. Nimmo (1980)
Current trends in the estimation of Michaelis-Menten parameters.Analytical biochemistry, 104 1
Mitzy Canessa, G. Zerbini, Lori Laffel (1992)
Sodium activation kinetics of red blood cell Na+/Li+ countertransport in diabetes: methodology and controversy.Journal of the American Society of Nephrology : JASN, 3 4 Suppl
R. Leatherbarrow (1990)
Use of nonlinear regression to analyze enzyme kinetic data: application to situations of substrate contamination and background subtraction.Analytical biochemistry, 184 2
J. Dowd, Douglas Riggs (1965)
A COMPARISON OF ESTIMATES OF MICHAELIS-MENTEN KINETIC CONSTANTS FROM VARIOUS LINEAR TRANSFORMATIONS.The Journal of biological chemistry, 240
W. Besch, Doreen Schläger, J. Brahm, K. Kohnert (1995)
Validation of Red Cell Sodium-Lithium Countertransport Measurement — Influence of Different Loading Conditions, 33
L. Elving, J. Wetzels, J. Pont, J. Berden (1992)
Is increased erythrocyte sodium-lithium countertransport a useful marker for diabetic nephropathy?Kidney international, 41 4
P. Rutherford, T. Thomas, Robert Wilkinson (1992)
Erythrocyte sodium-lithium countertransport: clinically useful, pathophysiologically instructive or just phenomenology?Clinical science, 82 4
M. Canessa, N. Adragna, H. Solomon, T. Connolly, D. Tosteson (1980)
Increased sodium-lithium countertransport in red cells of patients with essential hypertension.The New England journal of medicine, 302 14
T. Hardman, S. Dubrey, D. Leslie, M. Hafiz, M. Noble, A. Lant (1992)
Erythrocyte sodium-lithium countertransport and blood pressure in identical twin pairs discordant for insulin dependent diabetes.British Medical Journal, 305
P. Carr, N. Taub, G. Watts, L. Poston (1993)
Human Lymphocyte Sodium‐Hydrogen Exchange: The Influences of Lipids, Membrane Fluidity, and InsulinHypertension, 21
J. Aronson (1990)
Methods for expressing the characteristics of transmembrane ion transport systems.Clinical science, 78 3
M. Canessa (1989)
Kinetic properties of Na+/H+ exchange and Li+/Na+, Na+/Na+, and Na+/Li+ exchanges of human red cells.Methods in enzymology, 173
(1990)
Lithium transport and hypertension
T. Thomas, I. West, P. Rutherford (1996)
Measurement of sodium-lithium countertransport kinetics.Hypertension, 27 2
G. Zerbini, G. Ceolotto, C. Gaboury, L. Mos, A. Pessina, M. Canessa, A. Semplicini (1995)
Sodium-lithium countertransport has low affinity for sodium in hyperinsulinemic hypertensive subjects.Hypertension, 25 5
A. Cornish-Bowden (1979)
Fundamentals of Enzyme Kinetics
T. Hardman, A. Lant (1996)
Controversies surrounding erythrocyte sodium-lithium countertransportJournal of Hypertension, 14
K. Neame, T. Richards (1972)
Elementary kinetics of membrane carrier transport
J. Smith, M. Weinberger, M. Wade (1986)
Is the correlation between sodium-lithium countertransport and sodium-potassium cotransport an artifact of methodology?Clinica chimica acta; international journal of clinical chemistry, 157 3
The present work examined the key elements featuring in the various methods used to characterize the erythrocyte sodium-lithium countertransport. Effects of medium composition on lithium efflux were investigated in 20 subjects. Mean lithium efflux (mmol Li/l RBC.h) into a 150 mm sodium medium was significantly higher than efflux into a revised sodium-rich medium (149 mm) containing 1 mm Mg (0.335 ± 0.100 vs. 0.298 ± 0.085 respectively; P < 0.03). Mean lithium efflux into sodium-free media where sodium had been entirely replaced by magnesium, was significantly lower than efflux into a choline-based medium containing only 1 mm magnesium (0.088 ± 0.027 vs. 0.109 ± 0.034 respectively; P= 0.03). Sodium-lithium countertransport activity and the transporter's kinetic profile were measured simultaneously in 35 subjects using traditional choline-based and kinetic methodologies. There was a significant correlation between countertransport activity and maximal rate of turnover (V max) (r= 0.62; P < 0.001); V max values were consistently greater than their corresponding countertransport activities (P < 0.001). On subdividing the subject group into tertiles based on the Michaelis-Menten constant (k m ) values (mm), <75, 75 − 150 and >150, the slopes of the regression lines for each group diminished progressively (0.64, 0.49 and 0.23 respectively), correlations within each group remained significant (P < 0.001, P < 0.001 and P < 0.02). No significant correlation was found between k m values and countertransport activity (r= 0.035; P=ns).
The Journal of Membrane Biology – Springer Journals
Published: Jan 15, 1998
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.