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3 Department of Biochemistry and Molecular Biology and 4 Department of Immunology and Microbiology, Indiana University School of Medicine, Evansville, IN, 47712
* To whom correspondence should be addressed. E-mail: tganthon{at}iupui.edu.
| ABSTRACT |
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| Introduction |
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Previous work by our laboratory and others demonstrates that asparaginase depletes circulating and intracellular glutamine, inhibiting cellular growth and reducing protein synthesis at the level of mRNA translation initiation in spleen and other tissues or cell types (11–14). These responses were not present when mice were treated with a virtually glutaminase-free asparaginase isolated from the Wolinella (Vibrio) succinogenes microbe (12). Other studies have shown that both cell-mediated and humoral responses are not suppressed when mice are treated with this same glutaminase-free asparaginase (9,10). Glutamine is important in many cellular processes, notably for providing energy and nitrogen for the synthesis of DNA and RNA in lymphocytes, and serves to enhance the function of stimulated immune cells (15,16). Furthermore, glutamine is essential for optimal cell functioning of not only lymphocytes but also monocytes (17) and granulocytes (18). With respect to asparaginase, the depletion of glutamine is suggested to be the primary immunosuppressive agent (19).
Based on our previous work and the work of others, we hypothesized that the immunosuppressive effects of asparaginase are a result of decreased glutamine levels, leading to metabolic stress as evidenced by an increase in the phosphorylation of the translation factor, eukaryotic initiation factor 2 (eIF2)5. We endeavored to prevent or ameliorate this condition by increasing the supply of glutamine in the diet via unlimited consumption of an alanyl-glutamine dipeptide (AlaGln) solution. The effect of asparaginase alone and in combination with AlaGln consumption on the major lymphocyte subpopulations in bone marrow, spleen, and thymus of normal mice was explored by determining the expression of various lymphocyte cell surface markers by flow cytometry.
| Materials and Methods |
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3 h, whereas in humans, it is on the order of 30 h (27). The dose of AlaGln was decided following a pilot study examining several concentrations of the dipeptide, ranging from 0.02–0.5 mol/L. This pilot study indicated that the 0.05 mol/L concentration was the highest that would not influence food intake, fluid intake, or somatic growth (our unpublished data). All mice were killed on d 7 by decapitation 3 h after the last injection. Trunk blood was collected and allowed to clot on ice to obtain serum following centrifugation. Tissues were rapidly harvested and organ weights were recorded before further processing or freezing in liquid nitrogen. Measurement of L-asparaginase activity. The activity of experimental L-asparaginase derived from E. coli (Elspar product from Merck & Co.) was determined prior to administration by the Nesslerization technique, as described previously (12,28,29).
Cellular composition of bone marrow, spleens, and thymii.
The major component cell types within spleens, thymii, and bone marrow were determined using flow cytometric analysis protocols as described (30). Fluorescein isothiocyanate (FITC)- or phycoerythrin (PE)-labeled antibodies against cell surface markers were purchased from BD Biosciences unless otherwise noted. Briefly, splenocytes, thymocytes, or bone marrow cells (0.5 x 106 cells/sample) were washed once in fluorescence-activated cell sorting (FACS) buffer (PBS with 1% fetal bovine serum and 0.05% sodium azide) and incubated on ice in the presence of specific monoclonal antibodies for
20 min in the dark. The cells were washed twice, fixed in 1% paraformaldehyde, and cell surface marker expression detected on a FACScan flow cytometer (Becton Dickinson). Data were analyzed using CellQuest Pro software (Becton Dickinson), gating on 10,000 lymphocytes as defined by forward and side scatter. Markers of T cell development and function included CD3 (FITC-17A2), CD4 (PE-GK1.5), and CD8 (FITC-53.6.72). B cell markers included CD117 (FITC-2B8), CD19 (FITC-1D3), surface IgM (FITC-µ-chain, MP Biomedicals), and B220 (PE-RA3–6B2). CD11b (PE-Mac-1
chain) was examined as a marker of leukocytes in spleen. Isotype-matched antibodies against IgG2a (B39–4), IgG2b (A95–1), and IgM (R4–22) were used as controls. The percent positive cells for each subpopulation of the thymus and spleen were adjusted based on total cell numbers in that tissue and data are presented as 106 cells per organ. Bone marrow data are presented as percent positive cells for each subpopulation. Total cell count of each organ was determined using a Coulter Counter.
Serum amino acids. Serum was obtained by centrifugation of clotted blood and stored at –20°C. Serum samples were sent to the Indiana University School of Medicine Quantitative Amino Acid Core Facility (Director Edward Liechty, M.D.) for the determination of amino acid profiles by the ninhydrin method, using standard ion exchange chromatography with a Beckman 6300 automated amino acid analyzer.
Immunoblot analysis.
Phosphorylation of eIF2 was assessed as previously described (12) using an antibody that recognizes the
-subunit only when it is phosphorylated at Ser-51 (Cell Signaling Technology). Results were normalized for total eIF2
with an antibody that recognizes the protein irrespective of phosphorylation state (Santa Cruz Biotechnology). Phosphorylation of eIF4E binding protein-1 (4E-BP1) and ribosomal protein S6 kinase (S6K1) were measured by protein immunoblot analysis as described previously (12) (Bethyl).
Statistics. All data were analyzed by the STATISTICA statistical software package for Macintosh, volume II (StatSoft). Data were analyzed using 2-way ANOVA to assess main vs. interaction effects, with asparaginase treatment and AlaGln as independent variables. When variances among treatment groups were unequal, the data were log transformed before statistical analysis to achieve homogeneity of variances. Differences between individual treatment groups were assessed using Tukey's honestly significant difference (HSD) post hoc test for unequal sample size. The data presented are expressed as means ± SEM, except Table 1, which displays means ± SD. The level of significance was set at P < 0.05 for all statistical tests.
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| Results |
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Circulating amino acid concentrations. Asparaginase treatment severely reduced circulating asparagine concentrations below the instrument detection limits (<1 µmol/L) and aspartic acid concentrations more than doubled in the serum of mice treated with asparaginase (P < 0.05) (Table 1). On the other hand, AlaGln consumption increased serum glutamine and glycine concentrations (P < 0.05). Asparaginase alone did not alter serum glutamine, but all asparaginase-treated mice had increased circulating glutamic acid, as well as serum alanine, arginine, glycine, and serine (P < 0.05). Serum alanine and arginine were highest in GA mice and serum concentrations of the BCAA were reduced in GS mice compared with WS controls (interaction, P < 0.05). All other amino acids measured did not differ from those of the WS group in mice treated with asparaginase and/or AlaGln.
Immune cell populations in bone marrow. Relative to WS controls, asparaginase reduced the proportion of bone marrow cells expressing B220 (B220+ B cells) or surface IgM (sIgM+ B cells) compared with mice injected with saline (P < 0.05) (Fig. 1). Thus, the bone marrow in WA mice was depleted of B220+sIgM– and B220+sIgM+ B lymphocytes, shifting the balance of the gated population toward an increased proportion of B220–sIgM– cells (P < 0.05). AlaGln did not alter the distribution of cells expressing B220+ or sIgM+ and did not mitigate the proportional loss in maturing B cells by asparaginase. The groups did not differ in the proportion of bone marrow cells expressing the hematopoietic stem cell marker, CD117/c-kit (data not shown).
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| Discussion |
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Following 6 d of treatment, asparaginase continued to effectively exhaust circulating asparagine, whereas circulating glutamine was maintained at normal concentrations. Asparaginase is recognized to thwart the production of asparagine in part by breaking down glutamine, a necessary substrate in the asparagine synthetase reaction (aspartate + glutamine + ATP
asparagine + glutamate + AMP + pyrophosphate). Clinically, asparaginase reduces fasting plasma glutamine in pediatric patients with acute lymphoblastic leukemia (11) and glutamine deamination activity is correlated with serum asparaginase activity (31). Furthermore, we reported a single injection of E. coli asparaginase lowers both plasma and intracellular glutamine in healthy mice (12). Taken together, our previous work and the current data indicate that circulating concentrations of glutamine initially fall, but then rebound over time. This may be due to an enhanced production of glutamine, with subsequent efflux into the circulation to support other tissues with a lower capacity to make glutamine.
In the bone marrow, asparaginase reduced cell populations expressing B220+ or sIgM+, reflecting predominantly maturing B cells. In cancer patients, the most asparaginase-sensitive populations in bone marrow are of the B cell lineage (7). This study confirms that asparaginase reduces a substantial proportion of bone marrow-derived normal lymphocytes, particularly those involved in the humoral immune response. Interestingly, despite drastic reductions in the B220+ and sIgM+ populations, asparaginase did not alter the population of cells expressing c-kit/CD117+. This suggests that normal hematopoietic stem cells and multi-lineage progenitors, which in the bone marrow are delineated by the expression of this cell-surface molecule (32), are relatively insensitive to asparaginase. It is unknown if c-kit/CD117+ cells possess more asparagine synthetase or glutamine synthetase activity compared with a more differentiated lymphocyte. Alternatively, a recent study reports that asparagine synthetase expression in bone marrow-derived mesenchymal cells is much higher than in leukemic lymphoblasts and in coculture experiments protects leukemic cells from asparaginase cytotoxicity (33). Perhaps these cells could also protect hematopoietic multi-lineage progenitors from asparagine and/or glutamine depletion. Further study is required to more specifically delineate the cellular and environmental factors that influence the normal lymphoid cell response to asparaginase.
In this study, asparaginase did not alter the double negative population but instead depleted the CD4+CD8+ double positive subpopulation. These data suggest that asparaginase interferes with the events necessary for simultaneous surface expression of both CD4 and CD8 proteins. Why thymocytes are sensitive to asparaginase at this intermediate stage of development requires further study but may be connected with the increased burden of new proteins to synthesize to survive positive and negative selection.
Although the flow cytometric data clearly shows that primary and peripheral lymphocyte populations decline following asparaginase, how they are lost is not revealed. Previous studies have shown that treatment of leukemic cells with E. coli asparaginase causes the fragmentation of chromosomal DNA and arrest in the G1 phase (34,35). Data from our laboratory demonstrate an increase in phosphorylated eIF2 (Fig. 4), induction of the pro-apoptotic transcription factor, CHOP (12), and caspase-3 cleavage in the spleen 6 h after a single injection of asparaginase (our unpublished data). Thus, loss of lymphocytes is in part a result of increased cell stress leading to cell death via apoptosis. However, asparaginase may also cause necrosis in addition to programmed cell death. Certainly, this type of cell damage is reported in the pancreas, liver, bone, and bone marrow of patients receiving asparaginase (36–39). Further study into the factors that determine whether the cells in each tissue undergo apoptosis vs. necrosis when exposed to asparaginase is needed.
Although supplementation of dietary glutamine did not prevent cellular depletion by asparaginase in bone marrow or thymus, it was partially successful at mitigating losses in CD4+ and CD8+ T cells and cells expressing CD11b/Mac-1 in the spleen. CD11b/Mac-1 is a member of the β2-integrin family of adhesion molecules (40). It is expressed on monocytes, neutrophils, peritoneal B-1 (CD5) cells, CD8+ dendritic cells, NK cells, and a subset of CD8+ T cells and functions as a heterodimer associated with the common β2 chain (CD18) (41). CD11b plays important roles in cellular adhesion, phagocytosis and extravasation, and chemotaxis and neutrophil respiratory burst (40). It also binds a diverse group of ligands, which includes iC3b, fibrinogen, coagulant factor X, and the intercellular adhesion molecule ICAM-1 (42). A previous study indicated that high CD11b+ expression defines a subset of circulating effector CD8+ T cells that were recently activated (43). Taken together, the current results in combination with the literature suggest that dietary AlaGln supplementation may benefit the functioning of peripheral effector T cells and/or promote leukocyte migration or adhesion. This important finding supports further evaluation of AlaGln supplementation to support innate as well as T cell-mediated immunity in patients treated with asparaginase.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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2 Author disclosures: P. Bunpo, B. Murray, J. Cundiff, E. Brizius, C. J. Aldrich, and T. G. Anthony, no conflicts of interest. ![]()
5 Abbreviations used: AlaGln, alanyl-glutamine dipeptide; eIF2, eukaryotic initiation factor 2; 4E-BP1, eIF4E binding protein-1; FACS, fluorescence-activated cell sorting; FITC, fluorescein isothiocyanate; GA, mice consuming glutamine dipeptide in the tap water alongside receiving injections of asparaginase; GS, mice consuming glutamine dipeptide in the tap water alongside receiving injections of PBS; HSD, honestly significant difference; IU, international unit; PE, phycoerythrin; WA, mice consuming tap water alongside receiving injections of asparaginase; WS, mice consuming tap water alongside receiving injections of PBS. ![]()
Manuscript received 24 September 2007. Initial review completed 10 October 2007. Revision accepted 1 December 2007.
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