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Semicarbazide-Sensitive Amine Oxidase (SSAO) Gene Expression in Alloxan-induced Diabetes in Mice

Abstract

Background

Plasma activity of semicarbazide-sensitive amine oxidase (SSAO) has been reported to be significantly higher in diabetic patients compared to healthy controls. Due to the production of highly angiotoxic substances in SSAO-catalyzed reactions, it has been speculated that this could be a cause for the vascular complications frequently associated with diabetes. Little is known about how the enzyme activity is regulated, and why it is high in these patients. In the present study, we assessed the possibility of transcriptional regulation by analyzing SSAO activity and SSAO-mRNA levels in mice with alloxan-induced diabetes.

Materials and Methods

Diabetes was induced in NMRI mice by a single intravenous injection of alloxan. The enzyme activity was analyzed by a radiometric assay using 14C-benzylamine as a substrate, and the mRNA-levels were analyzed by real-time PCR.

Results

We found that the enzyme activity was increased in lung and adipose tissue 1 day after induction, as the glucose levels start to rise. Seven days after the injection of alloxan, the activity in serum was increased, and this activity was positively correlated with blood glucose levels in the alloxan-treated animals. Although the enzyme activity was increased in adipose tissue as a result of the treatment, SSAO-mRNA levels in this tissue were decreased, possibly suggesting a negative feedback on the gene expression.

Conclusions

The main conclusion from this study is that the increased enzyme activity observed in diabetes is not a result of increased SSAO gene transcription. We speculate that the enzyme activity is controlled by posttranslational modifications of the protein, and that the catalytic activity controls the gene expression.

Introduction

Semicarbazide-sensitive amine oxidase (SSAO; EC.1.4.3.6) is a family of copper-dependent enzymes that can be found in a variety of species, both eukaryotic and prokaryotic (reviewed in Callingham et al. [1]). In mammals, SSAOs is found mainly in plasma membrane of adipocyte, smooth muscle, and endothelial cells, but also to a large extent as a soluble enzyme in plasma (reviewed in Jalkanen and Salmi [2]). For decades, SSAOs have been known as enzymes oxidizing amines in a double-displacement reaction, producing an aldehyde, hydrogen peroxide, and ammonia, but little has been known of their physiological relevance. In the last few years, however, it has become increasingly clear that SSAO has important functions as an ecto-enzyme, regulating cell signaling and adhesion, and seemingly also adipocyte differentiation (35). For example, the enzyme has been shown to possess adhesive properties, guiding lymphocytes to sites of inflammation (4), and it can affect glucose uptake into the cells (6,7). The origin of plasma SSAO has been a matter of speculation, but data are now accumulating suggesting that the enzyme is derived, at least in part, from vascular smooth muscle cells and endothelial cells (Göktürk et al., unpublished observations). One possible mechanism for its release into the blood stream could be proteolytic cleavage of the N-terminal, which functions as a transmembrane anchor (8).

A lot of interest has been focused on SSAO in relation to diabetes because the plasma activity of the enzyme has been observed to be about 40% higher in diabetic patients compared to healthy controls (912), and even higher if microvascular complications, such as retinopathy (1113), are present. The SSAO activity appears to be increased as a result of the onset of diabetes (14,15), although the underlying mechanism for this is unknown. Considering that the activity is increased long before any detectable microvascular complications arise (10), together with what is known about the properties of SSAO, many investigators have suggested that the enzyme may be directly involved in the development of vasculopathies (16,17). Methylamine and aminoacetone head the list of endogenous substrates for human SSAO, yielding formaldehyde and methylglyoxal, respectively, as well as hydrogen peroxide and ammonia. These aldehydes are known to be adduct-forming and are, along with the other reaction products, considered to be cytotoxic (16,18). Additionally, the lymphocyte binding capacity of SSAO is of particular interest in light of the fact that diabetic microangiopathy is associated with capillary occlusion by leukocytes adhering to vessel walls (19). Consequently, it has been speculated that an SSAO inhibitor could be of value in treating patients with diabetes (17).

It is not known how the SSAO activity is regulated. Previous investigations have shown that alloxan- and streptozotocin-induced diabetes cause an increase in SSAO activity (14,15), but there have been no reports revealing at what level this increase is controlled. In this study, our aim was to examine if gene expression contributes to the regulation of SSAO activity. This we did by studying the activity as well as mRNA levels of SSAO in response to alloxan-induced diabetes in mice. To our surprise, however, we found that an increased enzyme activity was associated with decreased SSAO mRNA levels. To explore these new findings further, we also examined whether two SSAO inhibitors, hydralazine and carbidopa, would have an effect on the SSAO mRNA levels.

Materials and Methods

Animals

Male NMRI mice (outbred) weighing 30–35 g, purchased from B&K Universal AB (Sollentuna, Sweden), were used in all experiments. The mice were housed in wire cages in a room with 12:12 hr light-dark cycles and they had free access to food (Lactamin, Solna, Sweden) and water. The temperature in the room was 21(± 1)°C and the relative humidity 50(± 15)%. All experiments were carried out with permission from the local animal ethical committee.

Diabetes was induced by a single intravenous injection of alloxan (75 mg/kg) and determined as blood glucose levels above 12 mmol/l (MediSense Pen sensor, Abbot Laboratories, Abbot Park, Illinois, USA). Two alloxan-treated animals did not reach this level and were therefore excluded from the study. The animals were sacrificed by cervical dislocation 1 or 7 days after the induction of diabetes. Tissues designated for mRNA analyses were immediately submerged in RNAlater according to the instructions from the manufacturer (Ambion, Austin, TX, USA) and subsequently frozen at −80°C, whereas tissues for the enzymatic analyses were frozen at −80°C without any pretreatment. Blood was allowed to clot in 4°C for 2–4 hr before it was centrifuged at 4°C, 2000 g for 5 min. The serum supernatant was immediately analyzed for SSAO activity.

To assess the possibility of an autoregulatory mechanism, we examined if a decreased enzyme activity would affect the SSAO gene expression. Animals were therefore treated with either of two known SSAO inhibitors, hydralazine hydrochloride (2 × 0.5 mg, Sigma-Aldrich Sweden AB, Sweden), or carbidopa (2 × 0.5 mg, Sigma-Aldrich Sweden AB, Stockholm, Sweden). The two doses were given intraperitoneally (IP) 24 hr apart. Three days after the last injection of hydralazine hydrochloride, carbidopa, or saline, the mice were killed by cervical dislocation. The tissues were treated as described.

RNA Preparations and cDNA Synthesis

We prepared total RNA from lung as well as from white abdominal adipose tissue by use of the kit RNeasy Mini (Qiagen, Hilden, Germany). To disrupt DNA, tissue lysates were run through QIAshredder columns (Qiagen) and were DNase treated (Qiagen) during the RNA preparations. Total RNA was eluted from the RNeasy Mini columns with 30 µl of RNase-free water. The RNA-concentrations obtained were quantified fluorometrically with a Hitachi F-4000 fluorescence spectrophotometer, using the fluorescent nucleic acid stain RiboGreen (Molecular Probes, Eugene, OR, USA).

Subsequently, we synthesized cDNA using the kit Ready-To-Go You-Prime First-Strand Beads (Amersham Pharmacia Biotech, Uppsala, Sweden). For this synthesis, we used 100 ng total RNA diluted to 33.5 µl, and we incubated the reaction at 37°C for 1 hr along with 0.66 µg random hexamers (Amersham Pharmacia Biotech) and 0.5 µg oligo-dT primer (Amersham Pharmacia Biotech). After the incubation, all cDNA samples were diluted to a volume of 100 µl, and were stored at −80°C until quantification by real-time PCR. All kits were used following the instructions from the manufacturers.

Real-Time PCR

We designed primers and a TaqMan probe for mouse SSAO (GenBank accession AF078705) using the software Primer Express (Applied Biosystems, Foster City, CA, USA) (Table 1). The primers and the FAM-labeled probe were purchased HPLC-purified from Interactiva (Interactiva Biotechnologie GmbH, Ulm, Germany). Both primers were in exon 4 and the resulting amplicon was 69 bases long. A BLAST-search revealed no cross-reactivity toward any other DNA-sequences in mouse.

Table 1 Primers and probes used for real-time PCR

A two-step PCR was optimized on an iCycler instrument (BioRad, Hercules, CA, USA) with 50 cycles of amplification: Denaturation at 95°C for 15 sec and a combined annealing and extension step at 60°C for 1 min. The polymerase used was AmpliTaq Gold with PCR Buffer II (Applied Biosystems). The PCR was performed in a volume of 25 µl, containing 1 µl template cDNA, 0.4 µM of each primer, 0.2 µM of the FAM-labeled probe, 1.8 mM MgCl2, and 0.32 mM dNTP. When optimizing the PCR, we ran the PCR products on agarose gels and only one band, of the expected size, could be detected. No primer dimer formation was detected.

Each cDNA-sample was run on three separate PCR plates, each time in triplicate. With each run, a standard cDNA was included in quadruplicates of three different concentrations to produce a standard curve. One of the control samples from adipose tissue was used to produce this standard cDNA, because this tissue, by far, has the highest expression of SSAO. Additionally, for every 96-well reaction plate, negative controls without template were added.

The samples were screened for contaminating genomic DNA by using the RNA preparations as templates in the real-time PCR. We found that most samples had no detectable genomic DNA, but in some, amplification was observed. However, the highest concentrations of contaminating DNA were still about 80 times lower than the amount of cDNA after cDNA synthesis, and we therefore concluded that these very low levels could be disregarded.

Analysis of Data from Real-Time PCR

The threshold cycle (CT) data obtained from running real-time PCR was related to a standard curve in order to obtain the starting quantity (SQ) of the template cDNA in each sample. Standard curves were established by plotting CT values against the log 10 of the total RNA concentration in the standard cDNA. The slope values of the standard-curve ranged from −3.2 to −3.6.

Because 28S ribosomal RNA as well as a number of housekeeping genes appeared to be affected by the diabetes induction as well as by the treatment with SSAO inhibitors in our sample (data not shown), we decided not to use any of these for normalizing our data. Instead, we used total RNA, quantified fluorometrically, using RiboGreen (Molecular Probes) as the internal standard. However, this internal standard does not correct for variations in the efficiency of the cDNA synthesis. We therefore took measures to avoid inaccurate results due to variations in this step. First of all, cDNA was synthesized from one tissue in one set of animals all at once, so that all samples to be compared were synthesized simultaneously. Second, this step was repeated once for all samples. Differences in SSAO mRNA between diabetic or inhibitor-treated animals and controls were considered statistically significant only if the p-values obtained from both cDNA sets were <0.05.

Analysis of SSAO Activity

Preparing for the SSAO activity analyses, the tissues were thawed, submerged in 0.1 M Na-phosphate buffer, and homogenized with a Dounce homogeniser. The 5% homogenates obtained were frozen at −80°C until the time of analysis.

We measured SSAO activity both in serum and in tissue homogenates according to a method described by McCaman et al. using 14C-benzylamine as a substrate (20). Serum samples were analyzed without any pretreatment, whereas the tissue homogenates were thawed and sonicated with a Branson Sonifier Cell disrupter B1 before analysis. Additionally, the protein content of the tissue samples was determined, using the Lowry method (21) as a means of normalizing the values. Briefly, 50 µl of 5% homogenate was incubated at room temperature with 25 µl 0.2 mM clorgyline and 25 µl 0.1 mM deprenyl. The reaction was started when 50 µl 14C-benzylamine was added. The samples were incubated in 37°C for 20 min before the reaction was terminated by the addition of 30 µl 1 M HCl. The enzyme activity in serum is given as nmol benzylamine oxidized·ml−1·h−1 and as nmol benzylamine oxidized·mg protein−1·h−1 in all tissue homogenates except for adipose tissue. The activity in adipose tissue is expressed as nmol benzylamine oxidized·mg tissue−1·h−1 because protein content could not be quantified accurately in this particular tissue.

Statistics

Groups were compared using simple linear regression or Student’s unpaired t-test. All statistical analyses were performed using the MacIntosh software Statview 4.5 (SAS Institute, Inc., Cary, NC, USA).

Results

Of the tissues examined, adipose tissue displayed the highest basal SSAO activity. Compared to lung tissue, the activity was approximately six times higher in adipose tissue (Table 2).

Table 2 Comparison of enzyme activity and mRNA levels in lung and adipose tissue

As early as 24 hr after the induction of diabetes, as the blood glucose levels were rising, SSAO activity was increased in adipose and lung tissue by 66% and 34%, respectively. At this time point, however, the activity in serum was unaffected. Seven days after the induction of diabetes, the activity in adipose tissue was still higher (42% higher than controls), the activity in serum was increased by 24%, whereas the levels had returned to normal in lung tissue (Fig. 1). In addition to these tissues, we examined the SSAO activity in pancreas and small intestine, but neither of these two tissues showed any altered activity as a result of the alloxan treatment (data not shown).

Fig. 1
figure1

SSAO activity in lung and adipose tissue, and serum 1 and 7 days after induction of diabetes. Please note that the unit on the y-axes differs in (a), (b) and (c) and the graphs can therefore not be compared directly. Abbreviations: d, alloxan-induced diabetes; c, controls. *p < 0.05, **p < 0.01, ***p <0.001. Error bars represent the upper half of the standard deviations.

Linear regression suggests that the SSAO activity in serum is positively correlated with blood glucose levels (p = 0.0499) 7 days after the induction of diabetes (Fig. 2). We performed linear regression on data from the alloxan-treated animals only.

Fig. 2
figure2

SSAO activity in serum (nmol.ml −1· h−1) 7 days after the induction of diabetes plotted against blood glucose levels at the same time point. The alloxan-treated animals (filled circles, n = 14) are separated from the controls (open circles, n = 15), with blood glucose levels exceeding 12 mM. Linear regression on the group of diabetic animals (regression line in the plot) showed a positive correlation between SSAO activity and glucose concentrations (p < 0.05, r2 = 0.284).

SSAO mRNA was quantified in two sets of cDNA (prepared twice from the same RNA) by realtime PCR. These analyses showed that the mRNA levels were approximately 140 times higher in adipose compared to lung tissue (Table 2). We also found that the mRNA levels were lower in adipose tissue from diabetic animals compared to controls as early as 1 day after the alloxan injection (p = 0.0101 and 0.0017, for cDNA set 1 and 2, respectively), and that this effect was maintained 7 days after the injection (p = 0.0105 and 0.0015) (Fig. 3). In lung tissue, the mean mRNA levels were lower 1 day after the induction of diabetes, although this was not statistically significant (p = 0.07 and 0.25). After 7 days with diabetes, the mRNA levels in lung were higher in the diabetic animals (p = 0.0385 and 0.0308). Summarizing these findings, the tendency is that increased SSAO activity is associated with lower SSAO mRNA levels in adipose tissue. The mRNA levels in lung tissue, however, did not display any signs of being positively or negatively correlated with the enzyme activity.

Fig. 3
figure3

SSAO-mRNA (SQ, starting quantity) in lung- and adipose tissue, one and seven days after induction of diabetes. Two cDNA-preparations were used. The differences between controls and alloxan-treated animals were considered statistically significant only when p < 0.05 in both sets of cDNA. d: alloxan-induced diabetes; c: controls. *p < 0.05, **p < 0.01. Error bars represent the upper half of the standard deviations.

Treating animals with the SSAO-inhibitors hydralazine hydrochloride or carbidopa, did not result in significantly altered levels of SSAO mRNA (Fig. 4).

Fig. 4
figure4

SSAO-mRNA (SQ, starting quantity) in lung- and adipose tissue after treatment with saline (controls), hydralazine hydrochloride (2 × 0.5 mg) or carbidopa (2 × 0.5 mg). Error bars represent the upper half of the standard deviations.

Discussion

This study has provided evidence that the increased enzyme activity observed in alloxan-induced diabetes cannot be ascribed to increased gene transcription. Nevertheless, it may well be that there is some degree of genetic regulation involved; our data indicate that increased enzyme activity is associated with a down-regulation of SSAO mRNA in adipose tissue. A plausible explanation for this finding could be that the gene transcription is under the control of an autoregulatory feedback loop, perhaps mediated by the reaction product hydrogen peroxide, which is known to affect transcription factors such as NFκB (reviewed in Bauerle and Henkel [22]). However, because we were unable to provoke higher mRNA levels in adipose tissue by treating animals with SSAO inhibitors, we cannot prove the existence of such a product-mediated feedback loop. One explanation for this result is that the negative feedback is not related to the products in the enzyme reaction, but rather to the amount of catalytically active protein. Another possibility is that the negative feedback is sensitive only to increased enzyme activity as a way of preventing overproduction of enzyme or reaction products. Thus, our data imply that there is a self-regulatory mechanism, but we can only speculate regarding the identity of the mediators controlling it.

We did not find support for a negative feedback loop in lung tissue. Considering that the enzyme activity, as well as the mRNA levels, was much lower in this tissue, a negative feedback loop would be more difficult to detect and would perhaps have become evident only with a larger sample. However, we cannot exclude the possibility that SSAO gene transcription is, in fact, controlled differently in lung. Previous investigations have shown that the recovery rate for SSAO activity differs extensively between different tissues after irreversible inhibition of the enzyme, presumably reflecting different rates of de novo synthesis of the protein (23).

We have presented data suggesting that the increased SSAO activity seen in diabetes is regulated posttranscriptionally, and consequently, posttranslational modifications of the protein must be considered as a potential site for regulation. It is known, from previous studies, that Vmax is increased in diabetes, whereas the Km is essentially unchanged (14). In other words, it is the maximum capacity of the enzyme pool that is increased, probably by an increased number of catalytically active SSAO molecules. Changes in the glycosylation pattern would result in a changed tertiary structure of the protein, which in turn, could stabilize it in an active state or impair its proteolysis. The cofactors, copper and TOPA-quinone, are other important candidates when posttranslational modifications are considered. In our sample, the SSAO activity in serum is increased only after the activity in lung and adipose tissue is increased. This may suggest that activation of the enzyme takes place in the tissues before it is released into the bloodstream. Furthermore, we found that the SSAO activity in serum is positively correlated with blood glucose levels, implying that glucose may play a role either in activating the enzyme or in regulating its release from the blood vessel wall. The activation of SSAO in diabetes is of particular interest with regard to its involvement in glucose transport, and consequently, a pertinent question is whether this increased enzyme activity leads to a subsequent increase in glucose uptake into the cells.

Another finding worth noting in the present study is that the SSAO mRNA levels in adipose tissue is more than 100-fold higher than the mRNA levels in lung tissue, whereas the enzyme activity in adipose tissue is only six times higher. There are a number of possible explanations for this, and we can only speculate as to which is the most conceivable. It may be that there is a large pool of inactive enzyme in adipose tissue, that SSAO produced here is exported to other tissues, that the protein is degraded more rapidly, or that the degree of translation is lower. The proportion of the increased activity is higher in lung tissue 1 day after the alloxan injection as compared to adipose tissue, but this increase is not sustained. One explanation may be that the direct response to diabetes is higher in lung, whereas the pool potential in this tissue is low. The response in adipose tissue is more moderate, perhaps due to the high baseline activity, and more durable, perhaps due to a large pool of enzyme. This may be an appealing thought, but we cannot rule out the possibilities of a lower degree of translation or a faster degradation. We amplified 28S rRNA in adipose as well as in lung tissue and it appears that there is about six times more 28S rRNA in lung compared to adipose tissue (data not shown). This could be indicative of fewer ribosomes in this particular tissue.

The SSAO molecule is large, a 220-kDa homodimer (24), and is produced in considerable amounts, especially in adipose tissue. Estimations have been made suggesting that there are about 14 million SSAO molecules on the surface of one single adipocyte, and that this constitutes 2.3% of the total protein content in the plasma membrane of these cells (25). Synthesizing such a large molecule, in such large quantities must cost a lot for the cell, and is undoubtedly of great importance. It would be expected that no more than what is needed is produced, and consequently, the regulation of its synthesis must be of great importance. Here, we have reported the possibility that the gene expression is regulated by the enzyme it is encoding.

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Acknowledgments

We wish to thank Astrid Nordin for technical assistance and Dr Sofia Mikko for invaluable discussions regarding real-time PCR. This study was supported with grants from The Swedish Medical Research Council (no. 4145).

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Correspondence to Jenny L. E. Nordquist.

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