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. 2016 Jun 9;6:27439. doi: 10.1038/srep27439

Drug-induced reactive oxygen species (ROS) rely on cell membrane properties to exert anticancer effects

Hamid R Molavian 1,a,*, Aaron Goldman 2,3,4,*, Colin J Phipps 1, Mohammad Kohandel 1,b, Bradly G Wouters 5,6, Shiladitya Sengupta 2,3,4, Sivabal Sivaloganathan 1,7
PMCID: PMC4899687  PMID: 27278439

Abstract

Pharmacological concentrations of small molecule natural products, such as ascorbic acid, have exhibited distinct cell killing outcomes between cancer and normal cells whereby cancer cells undergo apoptosis or necrosis while normal cells are not adversely affected. Here, we develop a mathematical model for ascorbic acid that can be utilized as a tool to understand the dynamics of reactive oxygen species (ROS) induced cell death. We determine that not only do endogenous antioxidants such as catalase contribute to ROS-induced cell death, but also cell membrane properties play a critical role in the efficacy of ROS as a cytotoxic mechanism against cancer cells vs. normal cells. Using in vitro assays with breast cancer cells, we have confirmed that cell membrane properties are essential for ROS, in the form of hydrogen peroxide (H2O2), to induce cell death. Interestingly, we did not observe any correlation between intracellular H2O2 and cell survival, suggesting that cell death by H2O2 is triggered by interaction with the cell membrane and not necessarily due to intracellular levels of H2O2. These findings provide a putative mechanistic explanation for the efficacy and selectivity of therapies such as ascorbic acid that rely on ROS-induced cell death for their anti-tumor properties.

Natural products have been extensively investigated for their antitumor properties1,2. One example is ascorbic acid, better known as vitamin C, which displays selective cancer cell killing behavior that leaves normal cells intact3,4. Preclinical and clinical trials have repeatedly demonstrated the therapeutic effect of ascorbic acid on various cancer types without any reported side effects to normal tissue5,6,7,8,9,10. One potential explanation for the therapeutic efficacy of ascorbic acid is the elevated concentration of highly membrane-permeable reactive oxygen species (ROS) in the form of H2O2 on the order of 100 μM in the extracellular space3,11. In fact, measurements of the concentration of ascorbic acid and H2O2, both in culture and in vivo, suggest that a linear relationship exists between these two concentrations3,11. These results suggest that ascorbic acid may be a promising candidate for cancer therapy. However, the relationship between ascorbic acid-induced ROS production and cell death remains underexplored.

Cellular antioxidants provide the defensive mechanism against the toxicity of natural products by detoxifying hydrogen peroxide12,13,14,15. Indeed, activity of the enzyme catalase that breaks down H2O2 into its inert components plays a key role in determining the cancer killing ability of natural products such as ascorbic acid15. For example, Klingelhoeffer et al. observed that when H2O2 is applied to different cell types, cell viability decreases as the concentration of catalase decreases16. Other evidence suggests that antioxidants in combination with ascorbic acid diminish the therapeutic potential of ascorbic acid17. These studies provide mounting evidence that ROS and antioxidants are key determinants of the cancer cell killing efficacy of natural products such as ascorbic acid. However, some other studies suggest that there is a lack of correlation between cell viability and concentration levels of other antioxidants such as glutathione and glutathione peroxides3,16. Hence, the exact mechanism behind the contribution of H2O2 to cell death remains to be determined.

In this study, we investigated how ROS contributes to cell death and used ascorbic acid as the basis for our model. Utilizing kinetics based on known scientific literature of ascorbic acid activity in cancer cells and normal cells, we developed a mathematical model that predicted a mechanism of cell death via induction of H2O2. We determined that cell membrane properties play a critical role in H2O2-driven cell death arising after treatment with ascorbic acid. We then tested these predictions by modulating the permeability of cell membranes with cholesterol or mild detergents and tested intracellular ROS or cell death following exposure to exogenous H2O2. Surprisingly, we identified that decreased membrane permeability leads to increased cell death, suggesting that H2O2 exerts anticancer effects through extracellular rather than intracellular mechanisms, presumably by protein and lipid peroxidation. These findings shed light on the mechanisms of drugs that rely on the production of ROS to potentiate anticancer effects.

Materials and Methods

Chemicals, reagents and cell lines

Unless otherwise noted, chemicals and reagents were of the highest purity and purchased from Sigma Aldrich (St Louis MO). MDA-MB-231 breast cancer cells were purchased from ATCC and tested for contaminating bacteria prior to performing experiments and cultured in DMEM containing 10% fetal bovine serum (FBS, Life Technologies, Grand Island NY). Prior to experimentation, cholesterol was dissolved directly into cell culture media at working concentration (100 μM) and then sterile filtered. For certain studies, FITC was conjugated to cholesterol by NHS cross linking to cholesterol using standard procedure (Life technologies, Grand Island NY).

Mathematical Modeling

To understand the cancer cell killing behavior of ascorbic acid, we start by considering the chemical reactions that govern the cell’s defensive mechanisms against H2O2. Cells employ their detoxifying machinery to protect themselves against H2O2 damage, primarily in the form of two antioxidant systems, catalase and glutathione peroxidase. These mechanisms remove H2O2 via the following chemical reactions,

graphic file with name srep27439-m1.jpg

where k1, k2 and k3 are the reaction rates of the glutathione peroxidase system with values of 2.1 × 107 × 107 M−1 s−1, 4 × 104 M−1 s−1 and 1 × 107 M−1 s−1 respectively18, (Table 1S, Supplemental Infromation). The molecules in the reactions above, GPX1, GPX0, [GS-GPX] and GSSG, denote reduced glutathione peroxidase, oxidized glutathione peroxidase, glutathione-enzyme complex and glutathione disulfide respectively. Here we are interested in investigating the interplay between the extracellular H2O2 concentration and the relevant antioxidant concentrations. Although the strength of peroxiredoxins in detoxifying H2O2 could be as important as the GPx family, we have not included them in these calculations to avoid unnecessary complexity. In the Results and Discussion section we offer an explanation for why, overall, this simplification should not affect our results. We write down the kinetic equations for the concentrations of GSH, GPX1, GPX0, [GS-GPX], and H2O2 and subsequently obtain the steady state of these equations in the presence of a constant production term for H2O2 (see below).

Here we denote the intracellular concentrations of GSH, GPX1, GPX0, [GS-GPX], H2O2 and catalase by Cgsh, Cgpx1, Cgpx0, Cgsgpx, Ch2o2 and Ccat respectively, and the total intracellular production rate of H2O2 by Ph2o2. We also assume that during the course of the reactions the sum of the concentrations of GPX1, GPX0, [GS-GPX] remains constant and we denote this by Inline graphic. The kinetic equations based on the aforementioned chemical reactions for detoxifying H2O2 by catalase and GSH are given in Supplemental Information.

Based on experimental results, we assume that the application of ascorbic acid results in an increase in the extracellular concentration of H2O211, denoted by Inline graphic. If the intracellular concentration of H2O2 is Inline graphic then, assuming a standard diffusive membrane transport term, the rate of H2O2 transfer into the cell due to ascorbic acid is given by

graphic file with name srep27439-m5.jpg

where μ is the cell permeability to H2O2, A is the cell surface area and V is the cell volume.

The total production rate of H2O2 inside the cell, Ph2o2, can be written as follows,

graphic file with name srep27439-m6.jpg

where Inline graphic is the contribution of intracellular sources to H2O2 production and Inline graphic is the rate of transport across the cell membrane given by Eq. (1).

We solve the kinetic equations in steady state with the production rate of Eq. (2) and solve the equations analytically to derive the concentration of H2O2 in terms of the concentration of other species. For high production rates of H2O2, which is the case when cells are in a high concentration of ascorbic acid, we obtain the following equation (in this equation we separate the effects of external and internal sources of H2O2)

graphic file with name srep27439-m9.jpg

Assuming that the extracellular concentration of H2O2 depends linearly on the concentration of ascorbic acid2,11 we obtain the following equation,

graphic file with name srep27439-m10.jpg

where Cascorbic is the concentration of ascorbic acid and η is the proportionality constant between the concentration of H2O2 and ascorbic acid, i.e. Inline graphic.

In the above model, we assumed that catalase and glutathione peroxidase are the primary antioxidants in the cells and the production rate of H2O2 is constant. Furthermore, we assume that cell death can depend on the intercellular concentration of H2O2 and also on the concentration of H2O2 in the cell membrane. Here we assume, as an illustrative case, that this relation is linear,

graphic file with name srep27439-m12.jpg

In addition, we assume that Inline graphic is proportional to Inline graphic. However, we should mention that perturbations in this functional relationship between cell death and intercellular and membrane H2O2 concentrations do not qualitatively change the results obtained.

Detection of intracellular reactive oxygen species (ROS)

Prior to treatments, cells were washed and incubated with 2 μM CM-DCFDA (Life technologies, Grand Island NY) for 10 minutes followed by a wash in PBS and then recovery in DMEM for 15 min. Cells were then treated as described in figure legend. After trypsinizing, single cells were processed by flow cytometry to detect DCFDA fluorescence and mean fluorescence intensity was calculated as % increase of vehicle control.

Cell viability assays

Following treatments described in figure legends, cells were washed 1 time and recovered in serum-free and phenol red-free DMEM and incubated with MTS ONE solution (Promega, Madison WI) following manufacturer protocol.

Microscopy

Cells were plated in 4 chamber glass slides (BD Biosciences, San Jose CA) at a concentration of 100,000 cells/ml and treated as indicated. Fluorescent images were obtained using three channels (DAPI, FITC and TRITC) on a NIKON Eclipse TI-U microscope with a 20× ELDW objective lens (Nikon, Melville NY). NIS Elements Viewer version 3.22 (Nikon, Melville NY) software was used to capture the images to file.

Results and Discussion

We sought to investigate the roles of key parameters, as suggested by our model, on the therapeutic effect of ascorbic acid. Based on the parameters included in our model, contained in Eqs (3, 4, 5), different cancer cell killing scenarios can arise, depending on (a) internal production rates of H2O2 (Inline graphic) that affect the intrinsic concentration of H2O2, (b) concentrations of catalase, glutathione peroxidase and GSH, (c) cell membrane properties that vary for different types of cancer cells and normal cells, or some combination of these.

Based on Eqs 3, 4, 5, cell death has to increase linearly as a function of the external concentration of H2O2 or ascorbic acid if the intracellular concentration of H2O2 is responsible for the cell death. The proportionality constant depends on the concentration of catalase and the permeability of the cell to H2O2 (see Eqs (3) and (4)). The internal production of H2O2 does not have any effect on the proportionality constant and merely shifts the initial cell death at low external concentration of H2O2. In Fig. 1a,b we plot the effect of higher internal production rate of H2O2 and, different concentrations of catalase or cell permeability on cell death, respectively. We use these figures as a reference to compare with the experimental results.

Figure 1. Schematic view of cell death as a function of extracellular concentration of H2O2.

Figure 1

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(a) In this plot cell permeability and catalase activity are the same for blue and red curves, but the intrinsic concentration of intracellular H2O2 is higher for the blue curve. (b) In this plot cell permeability is lower or catalase activity is higher for blue curve as compared to the red curve and the initial concentration of H2O2 is a bit more for the blue curve. The difference in catalase activity or cell permeability changes the slope of cell death as a function of the external concentration of H2O2.

In Fig. 2a we plot the experimental data of cell death for cancer and normal cells as a function of (external) H2O2 concentration (the data is extracted from)3. This data shows linear behavior, which is consistent with our model, which saturates for cancer cells at a maximal cell death of 75%. Interestingly the slope of the lines for cancer and normal cells are clearly different, which based on our qualitative results (Fig. 1) is due to different concentrations of catalase or due to differences in cell membrane properties such as cell permeability or lipid concentration (See also Fig. 1S, Supplementary Information). In this ref. 3, no correlation was observed between cell death and catalase activity, glutathione concentration or glutathione peroxidase activity. Therefore, this again suggests that another parameter is involved and in all likelihood is responsible for the change in cell death. Based on our results, the additional factor that should be taken into account is cell membrane permeability.

Figure 2.

Figure 2

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(a) Cell death as a function of the concentration of external H2O2 in human Burkitt’s lymphoma cells (blue squares), normal lymphocytes (red circles) pro-drug3. (b) Cell death for S. cerevisiae cells as a function of external H2O2 in stationary phase wild-type (blue squares), exponential phase wild-type cells (red circles)19. The stationary and exponential phases exhibit different cell permeabilities with the cell permeability in the exponential phase being higher19.

To provide additional evidence that cell membrane permeability could be one of the key players in ascorbic acid-induced cell death, we present the results from ref. 19 in Fig. 2b. In this figure cell death is plotted as a function of the concentration of H2O2 for the stationary and exponentially growing S. cerevisiae cells. Based on the presented results in this paper, the difference between the stationary and growing cells is due to the apparent difference in permeability to H2O2 between stationary and exponential phase cells. Clearly, Fig. 2a,b show a similar pattern, which provides qualitative evidence that cell membrane properties such as permeability may be a primary factor underlying the experimentally observed differences in cancer cell behavior under conditions of high concentration levels of external H2O2 (or ascorbic acid).

Next, we sought to explore if membrane permeability (first term in Eq. 5) or other properties of the cell membrane (second term in Eq. 5) affects H2O2-induced cell death. To test this, we first wanted to identify a method of modulating membrane permeability. For decades it has been known that intramembrane cholesterol leads to decreased membrane fluidity and therefore decreased membrane permeability20. In fact, increased cholesterol and decreased membrane fluidity is associated with progression of normal breast cells to neoplastic growth21. Using fluorescent microcopy, we confirmed that addition of FITC-conjugated cholesterol directly into cell culture will embed into the membrane surface of MDA-MB-231 breast cancer cells (Fig. 3A, yellow arrows). We next wanted to test the effect of increased membrane cholesterol on permeation of H2O2. Therefore, we treated 231 cells with the cytosolic-localized fluorescent probe, CM-DCFDA, which detects changes in ROS by increasing fluorescence. As expected, we identified that addition of H2O2 led to an increase of overall ROS, indicated by increased DCFDA fluorescence as determined by flow cytometry (Fig. 3B). However, by studding cholesterol into the membrane of cells, the overall increase of intracellular ROS was significantly diminished compared to vehicle control (p < 0.001). These results confirmed that decreased membrane permeability leads to decreased H2O2 uptake from extracellular source. In a separate experiment, we modified membrane permeability using a light detergent (0.002% saponin), which confirmed that increasing membrane permeation enhanced uptake of H2O2 (Fig. 3C).

Figure 3. Altering the membrane permeability of breast cancer cells using light detergent or cholesterol affects uptake of ROS.

Figure 3

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(A) Representative bright field and fluorescent microscopy shows MDA-MB-231 cells treated with cholesterol tagged with fluorescein or vehicle control for 2 hours before washing off excess. Fluorescent microscopy indicates localization of cholesterol in the membrane of cells (yellow arrows). (B) Quantification of flow cytometric data shows % increase of intracellular ROS following incubation with cholesterol (2 h) and 100 μM H2O2 (30 min) as determined by activity of the fluorescent probe, CM-DCFDA. (C) Quantification of flow cytometric data shows % increase of intracellular ROS following incubation with 0.002% saponin (2 h) and 100 μM H2O2 (30 min) as determined by activity of the fluorescent probe, CM-DCFDA.

Finally, we tested how membrane permeability affected cell death induced by exogenous H2O2. Using cell viability analysis, we determined that increased membrane permeability had no effect on cell death while decreasing membrane permeability using cholesterol enhanced cell death significantly, as evidenced by decreased cell survival following transient exposure to H2O2 (Fig. 4). In summary, these data indicated that reactive oxygen species do not require entry into the cell in order to exert their cytotoxic effects.

Figure 4. Decreased but not increased cell membrane permeability leads to enhanced cell killing by hydrogen peroxide.

Figure 4

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Cell viability analysis of MDA-MB-231 shows the cytotoxic effect of hydrogen peroxide on cells with increased permeability (+saponin) or decreased permeability (+cholesterol).

As mentioned in the Mathematical Modeling section we ignore the peroxiredoxins to avoid complexity. This can be understood based on Eq. 4 and the fact that in our conclusions and results the major player was the proportionality factor between intercellular and extracellular H2O2 which only depends on permeability and catalase. This is due to the fact that catalase interacts directly with H2O2 without any intermediate steps. Since the chemical reactions involving the peroxiredoxins are similar to the GPxs, (in the sense that they detoxify H2O2 via intermediate steps) they do not appear in the proportionality term between intracellular and extracellular terms. Hence all of our results and conclusion remain valid.

The role of extracellular H2O2 has been investigated extensively. However, to the best of our knowledge based on a review of related literature, the cell killing behavior of extracellular H2O2 is associated with intracellular H2O2, not the effects from cell membrane19,22. This is due to the simple interpretation that an increase in extracellular H2O2 would increase the intracellular H2O2 and as a result invoke cell death. This assumption results in the neglect of the cell membrane’s role in this process. It may seem paradoxical that the cell membrane properties are involved in the cell killing (but not the intracellular H2O2) while the antioxidants located inside the cell could affect the cell killing. This paradox could be deciphered by looking at two channels which may be involved in reducing the effect of cell killing in the membrane. First, higher power of antioxidants lower the intracellular H2O2 and concurrently lower the concentration of H2O2 inside the cell membrane. Second, antioxidants such as glutathione could react with peroxidase lipids and reduce the damaging effect of these oxidants.

Understanding that the cell membrane may play a large role in cell killing opens new avenues for studying and understanding the diseases related to H2O2 such as cancer, diabetes, and Parkinson’s disease23,24,25. In many cases, the initiation of these diseases and their progression is associated with the generated intracellular H2O2 via the extracellular H2O2. This causes the role of the cell membrane to be neglected and hence many possibilities that could be considered for arresting and curing these diseases.

These findings also have a number of clinical implications. While it has been attractive to develop therapies that modify the levels of ROS as a mechanism of tumor cell death there has been a degree of controversy to effectively develop clinical strategies26. Our present work suggests that certain cell properties may potentiate greater cell death in tumor cell populations by modulation of ROS. Indeed, a number of membrane-selective transporters, such as aquaporins, have been known to facilitate the diffusion of ROS27. These cell surface proteins are often overexpressed on tumor cells28. Taking into considering our present findings, this might suggest that knowledge of aquaporin membrane permeability may affect response to ROS-inducing agents, such as ascorbic acid. Would overexpression of aquaporins create a greater extracellular concentration of ROS than low expressing cells and how might this affect a cells response to ROS-inducing agents such as ascorbic acid? Elucidating such questions may unravel why certain tumors and tumor cells are sensitive to ascorbic acid while others are not29.

Cell size is well-known to fluctuate over the course of the life of cells, coupling both the cell cycle and the metabolic state of mammalian cells30,31. It is also well-established that cell cycle and metabolic phenotype can determine various membrane permeability characteristics, such as the flux of freely permeant ions32 or the delivery of chemical agents with variable membrane permeation characteristics33. These evidences highlight the potential dynamism and variability that exists among the phenotypic landscape of cancer cells under therapy pressure, and adds greater complexity to our present approach. For example, could ROS-inducing agents, such as Ascorbic acid, induce greater toxicity when cells are in a particular cell cycle stage or metabolic state? Answers to questions such as these will drive a better understanding of drug treatment in cancer, building on the emerging paradigm of temporal and sequential sequence of drugs for cancer34.

In conclusion, we have employed a combination of theoretical modeling and experimental results to elucidate the mechanism behind the cancer cell killing ability of extracellular H2O2. This further clarifies the capability of pharmacological concentrations of ascorbic acid to selectively kill cancer cells. Our results demonstrate that there is no correlation between intracellular H2O2 and the cancer-killing trend in the range where killing by extracellular H2O2 is predominant. This provides a strong indication that cell membrane properties could provide the explanation for the cell killing properties of extracellular H2O2. This result has been validated by experiments that show cells treated with cholesterol exhibit lower intracellular H2O2 yet higher rates of cell killing. This study suggests a novel target for drug design that could reduce the risk of initiation and progression of various diseases.

Additional Information

How to cite this article: Molavian, H. R. et al. Drug-induced reactive oxygen species (ROS) rely on cell membrane properties to exert anticancer effects. Sci. Rep. 6, 27439; doi: 10.1038/srep27439 (2016).

Supplementary Material

Supplementary Information
srep27439-s1.pdf (104.3KB, pdf)

Acknowledgments

This work was financially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC, discovery grant to S.S. and M.K.) as well as NSERC/CIHR Collaborative Health Research grant (to M.K. and S.S.).

Footnotes

Author Contributions H.R.M., M.K. and S. Sivaloganathan designed the project. H.R.M. and C.J.P. performed analytical and numerical works. A.G. performed the experiments. H.R.M., A.G., C.J.P., M.K., B.G.W., S. Sengupta and S. Sivaloganathan analysed and interpreted the data, co-authored and reviewed the manuscript.

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Supplementary Materials

Supplementary Information
srep27439-s1.pdf (104.3KB, pdf)

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