MODEL O2-ARYLATED DIAZENIUMDIOLATE PRODRUG REACTIVITY
Table 3. Comparison of rate and equilibrium parameters for micelle- and vesicle-catalyzed hydrolysis of 1 in NaOH solutions at 378C
Surfactant
[NaOH], M
k2m/k2w
Ks (Mꢀ1
)
kmax/kw
k2m,2v (Mꢀ1 sꢀ1
)
CTAB
CTAB
DODAC
DODAC
DODAC
0.010
0.0050
0.010
0.0050
0.0020
1.43
1.21
0.63
0.46
0.25
350
340
730
770
756
76
97
250
279
334
2.10 ꢃ 10ꢀ2
2.20 ꢃ 10ꢀ2
1.1 ꢃ 10ꢀ2
8.0 ꢃ 10ꢀ3
4.0 ꢃ 10ꢀ3
concentration and effective volume of the micellized surfactant.
The concentrations of the bromide ions (CTAB) or chloride ions
(DODAC) in the aqueous and surfactant pseudo-phases, [Xꢀ]w
and [Xꢀ]m, respectively, were calculated using the ion-exchange
equations described in detail elsewhere.[23–25] The value of a
(0.20), the degree of counter-ion dissociation at both the micelle
and vesicle surface was assumed to be independent of the
surfactant concentration, and cmc values of 5.0 ꢃ 10ꢀ4 and
so, this implies a similar reaction behavior at the outer and inner
vesicle interfaces.
CONCLUSIONS
The linear Brønsted plot obtained for the thiolysis reactions is
consistent with the rate-limiting SNAr nucleophilic attack of the
thiolate anion on the ipso carbon of the O2-protected prodrug.
Although weaker nucleophiles, the cellular thiols employed in the
study are the most effective in activating 1 for NO release at
physiological pH. The intrinsic nucleophilic reactivity of gluta-
thione, the active thiol for the thiolysis of 1 in vivo, is 570 times
that of hydroxide ion. Also, at physiological pH and typical
intracellular concentrations (1.0–10.0 mM), free glutathione is
estimated to react with DNP-DEA/NO a million times more rapidly
than hydroxide ion, even without the participation of the
enzyme. Vesicle-mediated catalysis of the thiolysis and base
hydrolysis reactions is mostly due to substrate concentration in
the surfactant pseudo-phase, with the smaller size of OHꢀ and
thioglycolate ions giving them a rate advantage for catalysis by
cationic vesicle interfaces.
6 ꢃ 10ꢀ6 M were used for CTAB and DODAC. In treating our data,
[26]
we used V ¼ 0.37 Mꢀ1 for CTAB micelles
and 0.58 Mꢀ1 for
DODAC vesicles,[25] and values of 0.08[24,25] and 1.6[10] for KOH/Br
and KOH/Cl, respectively. With these assumptions, rate-surfactant
profiles were fitted to Eqn (9) to provide best fit values for k2m and
k2v. The agreement between the experimental data and the
theoretical line calculated with Eqn (9) is shown in Figs 4 and 5,
and the obtained rate and equilibrium parameters are
summarized in Table 3.
The result that the larger DODAC vesicles are more effective
than CTAB micelles in enhancing base hydrolysis rates has been
observed previously for other CTAB and DODAC-catalyzed
reactions.[10,26] Such size-dependent differences in catalytic
efficiency for alkylammonium micelles and vesicles have
generally been attributed to differences in substrate binding
to the surfactant aggregates, with the increased hydrophobicity
and fluidity of the vesicle bilayers[31] making them more effective
in concentrating hydroxide ions at the interface.[21] Although in
our study, both CTAB micelles and DODAC vesicles accelerate the
rate of alkaline hydrolysis of 1, the increased reaction rate is not
reflected in values calculated for the intrinsic second-order rate
constants, k2v and k2m, for reaction in the two pseudo-phases. The
value obtained for k2v is lower than k2w and those of k2m and k2w
are more comparable in magnitude. Such findings have been
previously observed in other reactions catalyzed by micelles and
vesicles, where a reduction in the intrinsic reactivity is more than
compensated by an increase in the local concentration of the
reactants at the interface. The lowering of the intrinsic reactivity
in the presence of DODAC vesicles and CTAB micelles, compared
to that in water is generally attributed to differences in the
polarity of the media, particularly the lower dielectric at the
surface of the surfactant aggregates and the diminished
hydrogen bonding ability of the DODAC interface compared
to that in CTAB micelles.[10,21,25]
Acknowledgements
Support for this work from the National Institutes of Health (grant
number R15-HL078750-01) is gratefully acknowledged.
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