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Insight into the Mechanistic Basis of the Hysteretic-Like Kinetic Behavior of Thioredoxin-Glutathione Reductase (TGR)

Authors :
Irene P. del Arenal
Juan L. Rendón
José de Jesús Martínez-González
Mauricio Miranda-Leyva
Alberto Guevara-Flores
Oscar Flores-Herrera
Juan Pablo Pardo
Source :
Enzyme Research, Vol 2018 (2018)
Publication Year :
2018
Publisher :
Hindawi Limited, 2018.

Abstract

A kinetic study of thioredoxin-glutathione reductase (TGR) fromTaenia crassicepsmetacestode (cysticerci) was carried out. The results obtained from both initial velocity and product inhibition experiments suggest the enzyme follows a two-site ping-pong bi bi kinetic mechanism, in which both substrates and products are bound in rapid equilibrium fashion. The substrate GSSG exerts inhibition at moderate or high concentrations, which is concomitant with the observation of hysteretic-like progress curves. The effect of NADPH on the apparent hysteretic behavior of TGR was also studied. At low concentrations of NADPH in the presence of moderate concentrations of GSSG, atypical time progress curves were observed, consisting of an initial burst-like stage, followed by a lag whose amplitude and duration depended on the concentration of both NADPH and GSSG. Based on all the kinetic and structural evidence available on TGR, a mechanism-based model was developed. The model assumes a noncompetitive mode of inhibition by GSSG in which the disulfide behaves as an affinity label-like reagent through its binding and reduction at an alternative site, leading the enzyme into an inactive state. The critical points of the model are the persistence of residual GSSG reductase activity in the inhibited GSSG-enzyme complexes and the regeneration of the active form of the enzyme by GSH. Hence, the hysteretic-like progress curves of GSSG reduction by TGR are the result of a continuous competition between GSH and GSSG for driving the enzyme into active or inactive states, respectively. By using an arbitrary but consistent set of rate constants, the experimental full progress curves were successfully reproducedin silico.

Details

Language :
English
ISSN :
20900414 and 20900406
Volume :
2018
Database :
OpenAIRE
Journal :
Enzyme Research
Accession number :
edsair.doi.dedup.....daec4435df3bfbb3dd3a8f8ddb2ff990