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Volume 475, Issue 2 p. 121-126
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Estimation of H2O2 gradients across biomembranes

Fernando Antunes

Corresponding Author

Fernando Antunes

Department of Molecular Pharmacology and Toxicology, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA

Grupo de Bioquı́mica e Biologia Teóricas and Centro de Estudos de Bioquı́mica e Fisiologia, Instituto Bento da Rocha Cabral, P-1250 Lisbon, Portugal

Corresponding author. Fax: (1)-323-224 7473Search for more papers by this author
Enrique Cadenas

Enrique Cadenas

Department of Molecular Pharmacology and Toxicology, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA

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First published: 15 June 2000
Citations: 406
Glutathione peroxidase is a non-saturable enzyme and, therefore, its concentration cannot be calculated from its ‘specific activity’.
Assuming that the average volume of a Jurkat T-cell (clone E6.1) is 627±21 μm2 (estimated by electrophysiological studies [16]), the ratio between the volume of cells in the reaction mixture and the total volume in the reaction mixture (1 ml in these experiments) is estimated to be 1.5×10−3.

Abstract

When cells are exposed to an external source of H2O2, the rapid enzymatic consumption of H2O2 inside the cell provides the driving force for the formation of the gradient across the plasma and other subcellular membranes. By using the concepts of enzyme latency, the following gradients – formed after a few seconds following the exposure to H2O2 – were estimated in Jurkat T-cells: [H2O2]cytosol/[H2O2]peroxisomes=3; [H2O2]extracellular/[H2O2]cytosol=7. The procedure presented in this work can easily be applied to other cell lines and provides a quantitative framework to interpret the data obtained when cells are exposed to an external source of H2O2.

1 Introduction

Signal transduction, development, cell proliferation, apoptosis, and necrosis, among other processes, are believed to be regulated by the redox status of the cell [1-4]. H2O2 is often the oxidant of choice in studies of redox-regulated processes, because it is continuously produced in aerobic metabolism and diffuses easily across cellular compartments [5]. In spite of the high permeability of H2O2, gradients across membranes are indeed formed when a membrane separates the production and consumption sites of H2O2. When cells are exposed to external H2O2, the fast consumption of H2O2 inside the cells provides the driving force for setting up a gradient across the plasma membrane (Fig. 1). The intracellular concentration of H2O2 is lower than the extracellular one and, thus, to establish the actual concentration of H2O2 that is implicated in the intracellular signaling events, this gradient must be determined.

figure image
Why a H2O2 gradient? At steady-state conditions, if the intracellular consumption of H2O2 (k 3) is non-negligible, the concentration of H2O2 inside the cell ([H2O2]in) will be lower than the extracellular one ([H2O2]out). The magnitude of the gradient forced depends on the relative value of the rate of intracellular consumption (k 3) compared to the rate of diffusion across the plasma membrane (k 2), and is given by k 2/(k 2+k 3). P s, permeability constant for H2O2; A/V in, ratio between the area and the volume of the cell.

One possible strategy to estimate gradients across biomembranes is based on the well-known fact that enzymes entrapped in compartments show a lower activity than enzymes free in solution, an observation brought forward in the early 1950s by De Duve and co-workers in their seminal studies on subcellular fractionation [6]. In general, the reason for enzyme latency is the permeability barrier constituted by the compartment entrapping the enzyme, which limits the diffusion of the substrate to the enzyme, and not some other factor, such as inhibition of the enzyme when trapped in the compartment.

Cellular H2O2 consumption is largely the domain of catalase and glutathione peroxidase; for the former enzyme, several studies firmly established that the permeability barrier is indeed the cause for the latency observed [6], while for the latter, as far as we know, no studies on its latency have been carried out. Under in vivo conditions, both catalase [5] and glutathione peroxidase [7] display first-order kinetics, not showing saturation. As such, the gradient between the concentration of H2O2 inside ([H2O2]in) and outside ([H2O2]out) the cell is independent of the concentration of H2O2 and is given by the equation:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si1((1))
where R is the ratio of activity of the first-order process between intact and disrupted cells [8]. To apply this equation, the consumption of H2O2 by intact cells and the sum of activities that consume H2O2 in disrupted cells must be determined.

In this work, we revisited the concepts of enzyme latency to estimate the H2O2 gradients produced in Jurkat T-cells – a cell line widely used in studies of redox regulation – upon exposure to an external source of H2O2. The procedure used can easily be applied to other cell types, thus constituting a general strategy to determine H2O2 gradients.

2 Materials and methods

2.1 Chemicals and biochemicals

Catalase (bovine liver), digitonin, and GSSG reductase (Baker's yeast) were from Fluka (Buchs, Switzerland). Glucose oxidase and NADPH were from Boehringer (Mannheim, Germany). DTPA, GSH, H2O2, NaN3, and Triton X-100 were from Sigma Chemical Co. (St. Louis, MO, USA). All other chemicals were of analytical grade.

2.2 Cell culture

Jurkat cells obtained from ATCC (clone E6-1) were cultured in complete medium (RPMI 1640 medium supplemented with 10% fetal calf serum, L-glutamine, and antibiotics from Life Technologies (Rockville, MD, USA). Cells were incubated at 37°C in humidified air with 5% CO2, and kept in logarithmic phase by routine passage every 2 days. Before use, cells were spun down, resuspended in fresh medium at 1×106 cells/ml, and incubated for at least 1 h. Cell viability was determined by propidium iodide uptake.

2.3 Biochemical measurements

H2O2 was measured with an oxygen electrode following the addition of catalase, which caused a rapid conversion of H2O2 to H2O and O2, the release of the latter being monitored by the oxygen electrode. With a clean and stable electrode, H2O2 concentrations as low as 5 μM could be measured. A calibration curve was made with H2O2 standards before each experiment. Catalase activity was measured as previously described [9] in 0.5 M potassium phosphate buffer, pH 7.0, containing 0.01% digitonin in the presence of 1×106 cells. H2O2 (10 mM initial concentration) consumption was followed at 240 nm at room temperature for 2 min (ϵ 240=43.4 M−1 cm−1). Alternatively, catalase activity was measured with a cell lysate. H2O2 concentrations were plotted on a semi-logarithmic graph against time and the first-order rate constant (catalase activity) was calculated. Titration of catalase activity with digitonin was carried out in a similar manner, but digitonin was added using dimethyl sulfoxide (DMSO) as a vehicle (corrections accounting for the slight inhibition of catalase activity by DMSO at the level added (1% v/v) were considered). Glutathione peroxidase (GPx) activity was measured by studying the kinetics of the enzyme in the whole cell applying a well-established method [10]. The assay mixture contained (final concentrations): 10×106 cells/ml, 0.05 M potassium phosphate buffer, pH 7.0, 1 mM DTPA, 50 μM NaN3, 1.1 U/ml glutathione reductase, 0.1 mM NADPH, 35 μM H2O2, and 1% (v/v) Triton X-100; the concentration of GSH varied between 0.335 and 3.35 mM. Alternatively, glutathione peroxidase activity was measured on a cell lysate without the addition of Triton X-100 to the assay mixture. All reactants, with the exception of H2O2, were pre-incubated at 37°C for 10 min. NADPH consumption was followed at 340 nm (ϵ=6.2×103 M−1 cm−1) at 37°C until all the hydroperoxide was used, recording the absorbance every 0.1 s. For the kinetic analysis, the part of the curve corresponding to 1.6–16 μM H2O2 was used as suggested [10]. Glucose oxidase activity was measured by following O2 consumption with an oxygen electrode.

3 Results and discussion

3.1 Consumption of H2O2 by intact Jurkat T-cells

The consumption of H2O2 by intact Jurkat T-cells was examined by two different experimental approaches: (a) exposure of cells to a bolus addition of H2O2 and (b) exposure of cells to a continuous flow of H2O2. Neither approach altered cell viability during the experiment(s).

In the former instances, the decay of H2O2 concentration after supplementing Jurkat T-cells with 100 μM H2O2 followed first-order kinetics (Fig. 2) with a k cell value of 1.0±0.1×10−3 s−1 per 106 cells (n=16). The growth medium (used within a few hours after resuspending cells) did not exhibit significant H2O2 consumption (not shown).

figure image
Intact Jurkat T-cells consume H2O2 with a time scale of minutes. The consumption of H2O2 was determined by exposing cells to a bolus addition (•) or to a steady state of H2O2 (□). The steady state was initiated by simultaneous addition of H2O2 (9 μM) and glucose oxidase (producing 9 nM s−1 of H2O2). The time course of H2O2 concentration obtained after the bolus addition was linearized in a semi-logarithmic plot (○). Cells were resuspended to 106/ml for 2 h in fresh medium before exposure to H2O2. Other assay conditions as described in 2.

In the latter instances, cells were incubated with a low steady state of H2O2 (9 μM), by simultaneously exposing them to H2O2 and glucose oxidase, an enzyme that reduces O2 to H2O2 during glucose oxidation. Cells were able to maintain the steady state of H2O2 up to 2 h (Fig. 2); hence, their capacity to consume H2O2 did not decrease with time. The k cell obtained with this steady-state incubation approach was similar, within experimental error, to that obtained with a bolus addition of H2O2 and independent of cell density.

It may be surmised that a k cell value of 1×10−3 s−1 per 106cells is a reliable measure of the capacity of Jurkat T-cells to consume H2O2, for low to moderate concentrations of H2O2. Furthermore, the similar k cell values obtained with both experimental approaches, suggest that no substantial changes in GSH levels –sufficient to compromise H2O2 removal by glutathione peroxidase – occurred following a bolus addition of H2O2 to cells.

3.2 Consumption of H2O2 by disrupted Jurkat T-cells

To determine the consumption of H2O2 in disrupted Jurkat T-cells, the enzymatic activities that mainly remove H2O2, catalase and glutathione peroxidase were examined.

3.2.1 Catalase activity

In most tissues, but not all, this enzyme is present in peroxisomes. The subcellular location of catalase in Jurkat T-cells was examined by titration with digitonin, a drug that binds to cholesterol present in membranes forming pores; with this approach, membranes with higher levels of cholesterol are disrupted preferentially, thus allowing the study of enzyme compartmentation and latency [11]. Because only one latency threshold to digitonin was observed (Fig. 3), it may be surmised that in Jurkat T-cells all catalase activity is entrapped within one type of membrane, most likely the peroxisomal membrane.

figure image
Titration of catalase activity with digitonin in Jurkat T-cells. The ratio between catalase activity in the presence of digitonin and in fully disrupted cells (0.1% Triton X-100 added) is shown. 106 cells were used in each assay. Assay conditions described in 2. Median and standard deviations of at least three measurements are shown.

Catalase activity in fully disrupted cells was 1.65±0.13×10−3 s−1 per 106 cells (n=5). As with the plasma membrane, the peroxisomal membrane constitutes a barrier to H2O2 diffusion and, thus, it is responsible for the latency of catalase activity. In intact cells, or in cells with only the plasma membrane disrupted, catalase activity represented 35% of the total catalase activity measured in fully disrupted cells (Fig. 3). Accordingly, the overall contribution of catalase to the removal of external H2O2 in intact cells was 35% of the value found in disrupted cells: 0.58±0.05×10−3 s−1 per 106 cells.

3.2.2 Glutathione peroxidase activity

Evaluation of the contribution of glutathione peroxidase to cellular H2O2 removal is more complex, because its reaction mechanism involves an oxidation–reduction cycle of the Se-cysteine moiety at the active center using GSH as the reducing agent [7]:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si2((2))
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si3((3))
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si4((4))
Glutathione peroxidase activity is usually measured by following the oxidation of GSH under relatively high concentrations of H2O2; under these conditions, catalysis is mainly limited by the reduction step ((3), (4), with their respective constants, k 3 and k 4). Conversely, under conditions entailing relatively low H2O2 concentrations (e.g. most in vivo conditions or addition of H2O2 to intact cells), catalysis is mainly limited by the oxidation step (Eq. 2, with a rate constant k 2) [7]. The integrated approach in Eq. 5 [10] considers both the reductive and oxidative steps, though the latter (comprising Eq. 2 and applying to low [H2O2]) is of interest for this study.
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si5((5))
where t is time, [GPx]total refers to total concentration of glutathione peroxidase, φ 1=1/k 2 and φ 2=1/k 3+1/k 4. The kinetics of glutathione peroxidase in the whole cell homogenate fitted Eq. 5 well (Fig. 4A,B); the following parameters were obtained from Fig. 4A:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si6
and from Fig. 4B:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si7
figure image
Kinetic study of glutathione peroxidase activity in Jurkat T-cell homogenates. A: Kinetic analysis was carried out as described in 2 and the results were fitted to the integrated rate law of glutathione peroxidase (n=6). B: The intercepts obtained in A were plotted as a function of [GSH]−1 (n=7).
Because the concentration of glutathione peroxidase in Jurkat T-cells is not known, the kinetic parameters φ 1 and φ 2 could not be determined 1 . However, the ratio φ 2/φ 1 (reflecting the redox properties of glutathione peroxidase) obtained in Jurkat T-cells (4.7×102) compares well with those obtained for the rat liver (5.3×102) [10] and the bovine erythrocyte enzyme (2.1×102) [7]. At low H2O2 concentrations, the rate of H2O2 consumption by glutathione peroxidase is given by:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si8((6))
and, hence, the term k 2×[GPx]red gives the pseudo first-order rate constant that characterizes the consumption of H2O2 by glutathione peroxidase. Under in vivo conditions, most of the enzyme is in the reduced form [7] (99.8% according to a mathematical model [12]) and, therefore, the term k 2×[GPx]total represents a good estimation of the desired parameter (k 2×[GPx]red=6.0±0.1×10−3 s−1 per 106 cells).

Glutathione peroxidase is mainly present in cytosol and mitochondria [13], but also in the nucleus [14]. As mentioned above, glutathione peroxidase requires GSH to complete the catalytic cycle. GSH is not transported into cells [15] and, hence, titration of glutathione peroxidase activity with digitonin is not as useful as for catalase, because the latency of glutathione peroxidase will be determined by both H2O2 and GSH. Because most of the glutathione peroxidase activity is present in cytosol, an approximation of the cytosolic activity was inferred by considering the value found in the cell lysate: 6.0×10−3 s−1 per 106 cells. H2O2 consumption values in intact and disrupted Jurkat T-cells are listed in Table 1.

Table Table 1. Parameters of H2O2 catabolism and gradients across biomembranes in Jurkat T-cells
Parameters measured
H2O2 consumption by intact cells
k cell (bolus addition) 1.0×10−3 s−1 per 106 cells
k cell (continuous flow) 1.0×10−3 s−1 per 106 cells
H2O2 consumption by disrupted cells
Catalase pathway
disrupted peroxisomal membranes 1.65×10−3 s−1 per 106 cells
intact peroxisomal membranes 0.58×10−3 s−1 per 106 cells
Glutathione peroxidase pathway 6.0×10−3 s−1 per 106 cells
Parameters estimated
H2O2 catabolism
Turnover time 0.2 s
Glutathione peroxidase pathway 4.1 s−1 (91%)
Catalase pathway 0.4 s−1 (9%)
H2O2 profile and gradients
P s 2×10−4 cm s−1
Equilibrium [H2O2]in/[H2O2]out 0.9 s
[H2O2]cytosol/[H2O2]peroxisomes 3
[H2O2]out/[H2O2]in 7

3.3 H2O2 catabolism

The information gathered on the activities of catalase and glutathione peroxidase above serves two purposes: on the one hand, it is essential for the calculation of an H2O2 gradient and, on the other hand, it makes it possible to characterize the catabolism of H2O2.

The turnover time of H2O2 may be calculated from the sum of the pseudo first-order rate constants for H2O2 consumption. Assuming that glutathione peroxidase and catalase represent the main H2O2 sinks, the capacity of Jurkat T-cells to consume H2O2 is 6.6×10−3 s−1 per 106 cells, which, after conversion to units referred to the cell volume 2 , corresponds to 4.5 s−1, thus yielding a turnover time of 0.2 s (1/4.5) (Table 1). This turnover time is slower than that estimated for hepatocytes (3×10−3 s) [12], an observation that may be explained by the very high activities of glutathione peroxidase and catalase present in the liver. Nevertheless, a turnover time of 0.2 s indicates that when Jurkat T-cells are exposed to extracellular H2O2 or to an agent that increases intracellular H2O2 production, an intracellular steady state will be reached in a few seconds.

The relative importance of catalase and glutathione peroxidase for the elimination of H2O2 can be calculated from the pseudo first-order rate constants obtained for these enzymes. Glutathione peroxidase activity (6×10−3 s−1 per 106 cells=4.1 s−1) is responsible for most of the H2O2 consumption in cytosol (91%), whereas catalase (0.58×10−3 s−1 per 106 cells=0.4 s−1) appears to play a minor role (9%), as also observed in other cell types, such as hepatocytes and endothelial cells [17, 18]. Therefore, most of the H2O2 added to Jurkat T-cells is probably removed via glutathione peroxidase with the concomitant change of the thiol/disulfide status inside the cell within a few seconds.

3.4 Profile of H2O2 in Jurkat T-cells

The ratio between the concentration of H2O2 inside (cytosol) and outside the cells (R; Eq. 1) may be inferred from the consumption of H2O2 by intact cells over the sum of activities that consume H2O2 in disrupted cells:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si9
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si10
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si11
This estimated gradient is a lower limit, because only the glutathione peroxidase and catalase pathways were considered for H2O2 removal; if other enzymes consume H2O2, the gradient will be steeper.
To determine how fast the gradient is established, the permeability coefficient (P s) of the plasma membrane of Jurkat T-cells for H2O2 must be obtained. A P s value of 2×10−4 cm s−1 may be estimated from Eq. 7 [8]:
urn:x-wiley:00145793:media:feb2s0014579300016380:feb2s0014579300016380-math-si12((7))
(where A is the area of the plasma membrane, V in is the intracellular volume, k 3 is the pseudo first-order rate constant for H2O2 consumption) and by considering that (a) Jurkat T-cells are spheres with an area of 627±21 μm2 [16], (b) a gradient R of 0.15, and (c) a k 3 of 4.5 s−1. This P s is smaller than that obtained for erythrocytes [8] (6×10−4 cm s−1), which is expected in view of the higher water permeability of erythrocytes compared with other cell types [19]; in particular, erythrocytes show a P s for water that is more than one order of magnitude higher than those of lymphocytes [20]. For a spherule of the size of a Jurkat T-cell, a P s of 2×10−4 cm s−1 indicates that the time scale for the equilibration with H2O2 outside the cell is 0.9 s (Table 1). Therefore, when Jurkat T-cells are exposed to an external source of H2O2, the intracellular components sense the presence of H2O2 within 1 s. This fast diffusion of H2O2 is important for the postulated signaling roles that have been attributed to this molecule.

In addition to the gradient across the plasma membrane, a gradient is expected across the membrane of cellular organelles that consume significant amounts of H2O2, like peroxisomes [5] (which contain catalase), nucleus [14], mitochondria [13], and endoplasmic reticulum [13] (all of which contain glutathione peroxidase). For peroxisomes, results shown in Fig. 3 allow the estimation of the gradient across the peroxisomal membrane: in fact, the ratio measured between catalase activities in intact and in lysed peroxisomes was 0.35, which, according to Eq. 1, is the gradient between cytosolic and peroxisomal H2O2 concentrations upon incubation with an external source of H2O2. H2O2 gradients were not estimated for organelles containing glutathione peroxidase, but upon exposure to an external source of H2O2, the concentration of H2O2 in these organelles may be anticipated to be lower than in the cytosol. In organelles like lysosomes, that do not contain H2O2-consuming enzymes, a concentration similar to that in cytosol may be expected. Fig. 5 shows the H2O2 profile that is expected to form in Jurkat T-cells upon incubation with an external source of H2O2. Because H2O2 permeation and catabolism are fast, this profile will form, within a few seconds, whether the source is a steady state or a bolus addition.

figure image
Profile of H2O2 concentration in Jurkat T-cells upon incubation with an external source of H2O2. [H2O2] log scale axis has arbitrary units.

4 Concluding remarks

When cells are exposed to external sources of H2O2, gradients across cell membranes are established, with a magnitude that depends on the intensity of the intracellular consumption of H2O2 and on the permeability characteristics of the membrane to H2O2. Once the profile of H2O2 concentration is known, the actual intracellular concentration of H2O2 that triggers the process under study can be easily estimated, which is useful for several reasons. First, the physiological relevance of the observations obtained can be discussed on a basis of comparing the concentration that was found to trigger the process in vitro with the concentration of H2O2 in vivo. For example, in Jurkat T-cells, a bolus addition of 50 μM of H2O2 is sufficient to induce apoptosis [21]. According to the results presented in this work, the maximal intracellular concentration of H2O2 reached inside the cells was around 7 μM, and in organelles like mitochondria it was probably around 2 μM. These values are much more likely to be reached in vivo than the 50 μM added, thereby supporting the physiological relevance of the findings. Second, different cell types, with distinct properties in terms of H2O2-consuming enzymes and of permeability to H2O2, form different gradients and consequently, the knowledge of the actual intracellular concentrations of H2O2 that elicit the same process in the various cell types helps to compare results between cell lines. It may be concluded that the procedure presented in this work provides a quantitative framework to interpret the data obtained upon incubation of cells with an external source of H2O2.

The data presented here provide further understanding on the bactericidal and bacteriostatic activities of H2O2 in body fluids [22-25]: on the one hand, bacteria – being small organisms – have a large ratio between cellular area and volume and, hence, the gradient established between extra- and intracellular concentrations of H2O2 is small or negligible [24]; on the other hand, the larger host cells would be subjected to a gradient as described in this work. As a corollary, for the same extracellular concentration of H2O2, the intracellular medium of bacteria will be subjected to a higher concentration of H2O2 than that of host cells, thus contributing to a selective toxicity of the peroxide towards pathogens.

Acknowledgements

F.A. acknowledges Grant BPD/11778/97 from PRAXIS XXI/FCT. Research supported by NIH Grant 1RO1-AG16718.