Abstract
Smooth muscle cells (SMCs) have a pivotal role in cardiovascular diseases and are responsible for hyaluronan (HA) deposition in thickening vessel walls. HA regulates SMC proliferation, migration, and inflammation, which accelerates neointima formation. We used the HA synthesis inhibitor 4-methylumbelliferone (4-MU) to reduce HA production in human aortic SMCs and found a significant increase of apoptotic cells. Interestingly, the exogenous addition of HA together with 4-MU reduced apoptosis. A similar anti-apoptotic effect was observed also by adding other glycosaminoglycans and glucose to 4-MU-treated cells. Furthermore, the anti-apoptotic effect of HA was mediated by Toll-like receptor 4, CD44, and PI3K but not by ERK1/2.
Keywords: Glycobiology, Glycoprotein, Glycosaminoglycan, Hyaluronate, Proteoglycan
Introduction
Hyaluronan (HA)3 is one of the most abundant glycosaminoglycans (GAGs) in extracellular matrices (ECMs) and is composed of linear, unsulfated repetitions of d-glucuronic acid and N-acetylglucosamine. In mammals, two specific HA synthases (HAS1 and -2) produce high molecular weight HA (HMW-HA), in the range of millions of Da, whereas the other isoenzyme (HAS3) synthesizes HA of lower molecular mass, in the range of several thousands of Da (1). The size of HA depends also on specific degrading enzymes (i.e. hyaluronidases) that can produce bioactive HA oligosaccharides. Therefore, in vivo, HA chains can greatly vary in lengths and can differently regulate cell behavior through interactions with several receptors, including CD44, RHAMM (receptor for HA-mediated motility), lymphatic vessel endothelial receptor 1 (Lyve-1), HA receptor for endocytosis (HARE), and Toll-like Receptor 4 (TLR4) (2).
In cardiovascular pathologies, HA accumulates during neointima formation and alters smooth muscle cell (SMC) behavior (3). In some pathological conditions, contractile SMCs dedifferentiate to form a synthetic phenotype characterized by a high production of ECM components, including HA and versican, by synthesis of ECM-modifying metalloproteinases (4) and by increased rates of proliferation and migration. Therefore, SMCs acquire the capability to invade the vascular tunica intima, thereby contributing to vessel wall thickening. HMW-HA is involved in the modulation of SMC migration and proliferation through interaction with CD44 (5–7), which can mediate a signaling cascade inside the cell that activates different pathways, including PI3K, AKT, and ERK1/2 (8).
We demonstrated previously that human aortic SMC (AoSMC) migration is strictly dependent on HA-CD44 signaling and recently reported that the HA synthesis inhibitor 4-methylumbelliferone (4-MU) reduced proatherosclerotic properties of AoSMCs by decreasing cell migration and proliferation and by inhibiting monocyte binding to the HA-rich ECM that contributes to inflammation (9, 10). Moreover, we found that the simultaneous addition of HMW-HA to 4-MU-treated AoSMCs restored cell proliferation to the levels of controls. Therefore, the aim of this study was to investigate at the molecular level the effects of HMW-HA after 4-MU treatment of AoSMCs and the pathways involved in its effects on the cells.
EXPERIMENTAL PROCEDURES
Cell Culture and Treatments
Human AoSMCs were purchased from Lonza and were grown for 2–6 passages in complete SmGm2 culture medium (Lonza) supplemented with 5% FBS. As we reported previously (9), a final concentration of 1 mm 4-MU (Sigma) in dimethyl sulfoxide (final concentration of 0.1%) inhibited HA synthesis ∼40% and reduced cell viability ∼25%. In some experiments, AoSMCs were grown in the presence of 25 μg/ml HMW-HA (∼4 × 106 Da) (Healon, Abbott Medical Optics), 25 μg/ml chondroitin 4-sulfate (Seikagaku), 25 μg/ml chondroitin 6-sulfate (C6S, Seikagaku), 25 μg/ml dermatan sulfate (DS, Seikagaku), 25 μg/ml keratan sulfate (KS, Sigma), 25 mm (final concentration) glucose, 25 mm (final concentration) 2-deoxyglucose (2DG), 25 mm (final concentration) sorbitol, 10 μm U0126 (Sigma), 10 mm NH4Cl (Sigma), 5 μm LY294002 (Sigma), 5 μg/ml anti-CD44 Hermes-1 monoclonal antibody (Development Studies Hybridoma Bank), 5 μg/ml anti-CD44 BRIC-235 monoclonal antibody (International Blood Group Reference Laboratory, Bristol, UK.), 5 μg/ml anti-tubulin monoclonal antibody (Sigma), 25 μg/ml purified, low endotoxin 34-mer HA oligosaccharide (6.8 kDa) (Glycoscience Laboratories) (11), 1 μg/ml anti-TLR4 monoclonal antibody (MTS510, Santa Cruz Biotechnology), or 15 ng/ml E5564 (eritoran, Eisai Inc.), a pharmacological inhibitor of TLR4 signaling (12). Such treatment concentrations were determined after preliminary dose-response experiments.
Microarray
Total RNA was extracted from three independent cultures of AoSMCs treated for 24 h with 1 mm 4-MU and from three independent untreated cell cultures using a commercial kit (Ambion). Bioanalyzer (Agilent) was used to quantify RNA, and only RNA samples with an RNA integrity number >7.5 were used. Two μg of total RNA were used to generate cDNA and digoxigenin-labeled cRNA. Ten μg of the cRNA were hybridized to a human genome survey microarray (Applied Biosystems, Foster City, CA). The signal was developed using a chemiluminescent detection kit (Applied Biosystems), and chips were scanned by using a 1700 chemiluminescent microarray analyzer (Applied Biosystems). The intensity distributions of the microarrays were highly similar, so normalization was not required. Probes whose FLAG value exceeded 5000 in more than four (of the six) arrays were filtered out. The data were assessed on the log2 scale, and differential expression analysis between the two groups was done using the limma package (13). Enrichment of KEGG pathways was computed by submitting the identified probes to DAVID (14) and using all human genes as background.
Quantitative RT-PCR
Quantitative RT-PCRs were done with an Abi Prism 7000 real-time instrument (Applied Biosystems) using the Taqman Universal PCR Master Mix and Human predeveloped TaqMan gene expression assays for p53, p21, CDK2, p16, CD44, and β-actin (Applied Biosystems). The relative quantification of gene expression levels was determined by comparing ΔCT values as described previously (15–17).
DNA Content by Cytofluorimetry
AoSMCs were resuspended in PBS containing 1% IGEPAL for membrane permeabilization. Cell pellets obtained after centrifugation were resuspended in 1 ml of PBS with propidium iodide and RNase. The DNA contents of the cells were quantified by using a FACSCanto cytofluorimeter (Becton Dickinson).
HA Quantification
Polyacrylamide gel electrophoresis of fluorophore-labeled saccharides (PAGEFS) and HPLC were used to measure the amounts of unsaturated HA disaccharides in the conditioned cell culture media as described previously (18–20).
Cell Vitality and Motility Assays
Apoptotic cells were detected by using the Annexin-V-FITC kit (Roche Diagnostics), and necrotic cells were detected by staining with propidium iodide as described by the manufacturer. To quantify apoptosis and necrosis, green (apoptotic) and red (necrotic) cells were counted in 10 independent fields under a fluorescent microscope (Olympus). In experiments with chondroitin 4-sulfate, C6S, DS, KS, ammonium chloride, anti-CD44 antibody, anti-TLR4 antibody, and inhibitors, the numbers of viable cells were counted in a Burker's chamber by using trypan blue.
To measure cell motility, confluent AoSMCs were treated either with 1 mm 4-MU, or with 25 μg/ml HMW-HA, or 1 μg/ml of anti-TLR4 monoclonal antibody, or 15 ng/ml of E5564 and scratched by pipette tip. Migration was quantified after 24 h of incubation as described previously (9).
CD44 Silencing
siRNA was used to reduce expression of CD44 in AoSMCs. CD44 siRNA (s2681) and scramble negative control siRNA1 kit (code 4611) were both purchased from Ambion. The transfections were done using a Nucleofector apparatus (Amaxa) as described previously (4, 21). After 48 h of incubation, cells were treated with 4-MU, and HMW-HA and cell viability were measured.
Statistical Analyses
Statistical analysis of the data were done using analysis of variance, followed by post hoc tests (Bonferroni) using Origin software (version 7.5, OriginLab). Probability values of p < 0.01 or 0.05 were considered statistically significant. Experiments were repeated three times each time in duplicate, and data are expressed as means ± S.E.
RESULTS AND DISCUSSION
In vascular pathologies, vessel thickening is a very common problem and is determined by complex mechanisms that involve remodeling of the ECM. SMCs are primarily responsible for arterial wall ECM production, and when SMCs dedifferentiate to become atherosclerotic prone cells, they synthesize large amounts of specific ECM molecules, including HA (22). HA is known to accumulate in neointima and to induce SMC migration, which increases progression of lesions by the formation of a highly hydrated ECM that facilitates cell movements, and by triggering cell receptor signaling. Recently, we showed that the proatherosclerotic properties of AoSMCs are reduced by treating them with 4-MU, a well known HA synthesis inhibitor. At 1 mm 4-MU, we found a clear reduction of mRNA coding for HASes and decreased UDP-glucuronic acid levels, which decreased production of HA. Furthermore, cell migration and proliferation were also reduced (9). Interestingly, the addition of 25 μg/ml of exogenous HMW-HA to 4-MU-treated cells restored AoSMC proliferation and motility (9). The rescue of cell migration by HMW-HA was clearly mediated by CD44, whereas the rescue of cell proliferation was not investigated.
In this study, cellular pathways altered by 4-MU were investigated by whole genomic expression profiling by using a microarray approach to compare 10 μg of cRNA prepared from untreated and 4-MU-treated AoSMCs (at a concentration of 1 mm for 24 h). Bioinformatic analyses identified 107 probes (supplemental Table 1) with a false discovery rate <5%, and these yielded two enriched pathways: the cell cycle pathway (p value <0.001) and the p53 signaling pathway (p value 0.012). The complete data set of the microarray experiment is reported in supplemental Table 2. As HA is known to regulate proliferation in a great number of cells (23), it was not surprising to find that inhibition of HA synthesis alters cell cycle genes. On the other hand, the link between HA and p53 is not known, although recently, it was reported that reduction of an HA/versican ECM induced senescence and p53 accumulation in fibroblasts (24).
We showed previously that the addition of exogenous HMW-HA to 4-MU-treated AoSMCs rescued cell viability (9). Therefore, we measured the expression of several transcripts coding for cyclins, cyclin-dependent kinases, p53, BCL2, and several other proliferation-related genes in untreated AoSMCs and in AoSMCs treated for 24 h with 1 mm 4-MU and with 1 mm 4-MU + 25 μg/ml of HMW-HA by means of quantitative RT-PCR (results not shown). Interestingly, among the tested genes, only p21 mRNA responded to HMW-HA by returning to the level of untreated AoSMCs as shown in Fig. 1.
FIGURE 1.
Relative expression of p21 mRNA in untreated AoSMCs, after 24 h of treatment with 1 mm 4-MU alone, or with 1 mm 4-MU and 25 μg/ml of HMW-HA by quantitative RT-PCRs. The lowest p21 expression in three different untreated samples was set at 1, and the S.E. is shown on each bar. *, p < 0.01 control versus treated samples. Relative expression is in arbitrary units.
Because p21 is strictly related to cell cycle arrest, we measured the DNA content in AoSMCs after 4-MU or 4-MU + HMW-HA treatments by means of cytofluorimetric analyses (Fig. 2). Untreated cells were 50.9% in G1, 21.5% in S, and 27.6% in G2. After 4-MU treatment, the cells showed a clear G1 arrest (84.1% in G1, 10.8% in S, and 5.1% in G2). Interestingly, in addition to the G1 peak, another sharp peak appeared after 4-MU treatment, which is similar to the extra peak that has been associated with apoptosis in other cell types (25). Furthermore, in AoSMCs treated with 4-MU + HMW-HA, the extra peak disappeared, even though these cells continued to be blocked in G1 (84.2% in G1, 9.0% in S, and 6.9% in G2). These results indicate that 4-MU inhibits cell growth through a G1 block that is probably mediated through p21 or cyclin D1 as observed previously (7). Moreover, the cytofluorimetric analyses indicate the possibility that apoptosis could occur after 4-MU treatment, which can be prevented in the presence of HMW-HA. This would be consistent with the results of the microarray experiment that identified the p53 pathway and cell cycle as the most affected cellular functions, which fit well with cell growth arrest and apoptosis induction. Furthermore, p53 is known to induce apoptosis through mitochondrial outer membrane permeabilization and other mechanisms (26). Interestingly, during the preparation of this manuscript, Lokeshwar and co-workers (27) published that 4-MU induced apoptosis in prostate tumor cells probably by activating the extrinsic pathway of apoptosis.
FIGURE 2.
Cytofluorimetric analyses of DNA content in untreated AoSMCs (control), after 24 h of treatment with 1 mm 4-MU, or after 24 h of treatment with 1 mm 4-MU and 25 μg/ml HMW-HA. The arrow indicates the extra G1 peak that has been associated with apoptosis. The peak is in 4-MU-treated samples but absent in 4-MU+HMW-HA treated cells.
To confirm the induction of apoptosis in 4-MU-treated AoSMCs, we used a commercial kit to detect phosphatidylserine in the outer leaflet of the plasma membrane and found that the percentage of apoptotic cells increased ∼8-fold in 4-MU-treated AoSMCs compared with untreated AoSMCs (Fig. 3A). Furthermore, the population of apoptotic cells in AoSMCs treated with 4-MU + HMW-HA was ∼10% and not statistically different from untreated AoSMCs (Fig. 3A). There were no significant differences in the percentage of necrotic AoSMCs in the three treatments as measured by propidium iodine staining (data not shown). We also have measured viable cells after 4-MU treatment by means of trypan blue staining and found a reduction of ∼40% of live cells, whereas in 4-MU+HMW-HA, vitality was similar to controls (Fig. 3B). Interestingly, the reduction of ∼40% of viable cells after 4-MU treatment quantified by trypan blue correlates well with the ∼40% increment of apoptotic cells determined with annexin-V kit (Fig. 3A), suggesting that trypan blue staining could be conveniently used to evaluate apoptosis in our conditions. To better demonstrate the effects of 4-MU and HMW-HA on cell viability, we treated AoSMCs with 0.5, 1, and 2 mm 4-MU and 25 μg/ml of HMW-HA finding a clear 4-MU dose-dependent reduction of cell proliferation (supplemental Fig. 1A). Similarly, apoptosis also had the same trend (supplemental Fig. 1B). The apoptotic process after 4-MU treatment was substantiated by showing that the cleaved poly(ADP-ribose) polymerase protein, a marker for apoptosis, was only present in AoSMCs treated with 4-MU (Fig. 3C, Western blot). The protective effect of HA against apoptosis has been reported for other cell types than vascular cells (28–32). However, it has been reported that HA-induced apoptosis in dendritic cells via inducible nitric-oxide synthase (33).
FIGURE 3.
Induction of apoptosis and reduction of cell viability after 4-MU treatment and anti-apoptotic effect of HMW-HA. A, 5 × 105 AoSMCs were plated in the absence or in the presence of 1 mm 4-MU alone, or with 1 mm 4-MU+25 μg/ml HMW-HA for 24 h. Annexin V-FITC was used to mark apoptotic cells, and green fluorescent cells in 10 independent microscopic fields were counted. *, p < 0.01 control versus treated samples. B, AoSMCs were treated and incubated as in A, but stained with trypan blue. Viable cells were counted in 10 independent microscopic fields. *, p < 0.01 control versus treated samples. C, Western blots of 50 μg of protein extracted from untreated (control) or treated AoSMCs as described above using anti cleaved poly(ADP-ribose) polymerase (PARP) (active) antibody. In the figure, each band represents a different extract from a replicate culture.
The transcripts for the antiapoptotic Bcl-2 protein and proapoptotic genes (Noxa, Puma, Bax, and Gadd45), which are known to be transcriptionally regulated by p53 (34–36), were measured by quantitative RT-PCR in the three AoSMC culture treatments. However, the expression analyses of these genes did not show any differences (results not shown), indicating that a different mechanism is involved for activation of apoptosis by 4-MU and rescue by HMW-HA.
Because 4-MU alters the cellular content of UDP glucuronic acid (9), we hypothesized that the inhibition of 4-MU-induced apoptosis by HA could be mediated by a metabolic effect. Although the inhibitory effect of 4-MU was specific for HA synthesis, we added other polysaccharides usually present in the ECM to 4-MU-treated AoSMCs to test for possible rescue from apoptosis: 25 μg/ml of each of the commercial GAGs (C46, C6S, DS, KS). Moreover, to check the metabolic hypothesis in this process, we also used glucose and 2DG. We also treated AoSMCs with sorbitol as osmotic control, and it did not show any anti-apoptotic property. To check the purity of the GAG preparations, we verified absence of HA in sulfated GAG solutions by PAGEFS and HPLC (results not shown). As shown in Fig. 4A, among these compounds, only 2DG was not able to inhibit cell mortality induced by 4-MU supporting the metabolic hypothesis. In fact, 2DG is known to induce ATP depletion and energetic stresses in treated cells, which would be somewhat facilitative toward apoptosis. As far as glucose is concerned, we did not further investigate neither its anti-apoptotic mechanism nor whether it could trigger specific signals from HA receptors as CD44 or TLR4 (see below); in neurons and cancer cells, it was elegantly demonstrated that glucose can protect from apoptosis regulating glutathione and cytochrome c metabolism (37). The anti-apoptotic role of such GAGs after 4-MU treatment was also confirmed by detecting annexin V-FITC-positive cells (supplemental Fig. 2). Interestingly, among the GAGs, only KS does not contain glucuronic acid, suggesting that UDP-glucuronate is not critical in the anti-apoptotic effect, whereas it has a pivotal role to control HA synthesis (21).
FIGURE 4.
Effects of sugars and lysosomal enzymes on inhibition of 4-MU-induced apoptosis. A, 5 × 105 AoSMCs were plated for 24 h in the absence or in the presence of 1 mm 4-MU alone, with 1 mm 4-MU+25 μg/ml HMW-HA, or with 1 mm 4-MU + 25 μg/ml of chondroitin 4-sulfate (C4S), 25 μg/ml of C6S, 25 μg/ml of KS, 25 μg/ml of DS, 25 mm (final concentration) of glucose, 25 mm of 2DG, or 25 mm sorbitol as osmotic control. Cells were stained with trypan blue, and viable ones were counted in 10 independent microscopic fields. *, p < 0.01 control versus treated samples. B, cells were plated as described above and treated with 1 mm 4-MU alone, with 1 mm 4-MU+25 μg/ml HMW-HA, or with 1 mm 4-MU+25 μg/ml HMW-HA+10 mm NH4Cl. After 24 h of incubation, the numbers of viable cells were quantified by using trypan blue staining. *, p < 0.01 control versus treated samples. Note that there was no statistically significantly difference between cultures treated with 4-MU alone and 2DG.
However, GAGs would have to be degraded by the cells to furnish intermediate metabolites (i.e. UDP sugars or energy) through the action of several lysosomal glycosidases. To test this possibility, we treated AoSMCs with NH4Cl, a well known inhibitor of lysosomal enzymes. As shown in Fig. 4B, NH4Cl alone did not decrease viability of the cells, and it did not alter the effect of HMW-HA to prevent the decrease in viability in the presence of 4-MU. Furthermore, NH4Cl alone did not prevent the decrease of viability in the presence of 4-MU. To verify the effectiveness of ammonium chloride treatment, we measured an increment of ∼50% in the content of HA after NH4Cl treatment of AoSMCs by PAGEFS, demonstrating the inhibition of HA degrading enzymes (result not shown). Therefore, the blocking of lysosomal enzymes necessary to catabolize HA and the other polysaccharides is not involved in the anti-apoptotic effect of HMW-HA, suggesting that the metabolic hypothesis is not critical in this process.
Previous studies have demonstrated the central role of the HA receptor CD44 in regulating AoSMC behavior (5, 10) and have reported a link between p53 and CD44 (38). Moreover, another study with chondrocytes showed that the HA anti-apoptotic effect was due to CD44 (29). CD44 has several variants derived from alternative splicing events at the RNA maturation level. As CD44 interacts with many ECM components (i.e. collagen, fibronectin, laminin, HA, DS, and CS) (39, 40), such CD44 isoforms could be involved in receptor-ligand recognition, thereby explaining the evidence that other GAGs as CS and DS inhibited the 4-MU-induced apoptosis. To test this hypothesis, we inhibited the HA-CD44 interaction by using the CD44-blocking Hermes-1 or BRIC235 monoclonal antibodies and by attenuating HA-CD44 signaling with a 34-mer HA oligosaccharide as we previously showed in AoSMCs (10). As shown in Fig. 5A, neither Hermes-1 or BRIC235 nor the HA oligosaccharide were able to inhibit the rescuing effect of HMW-HA.
FIGURE 5.
Mechanisms of anti-apoptotic effect of HMW-HA. A, 5 × 105 AoSMCs were plated in the absence or in the presence of 1 mm 4-MU alone, with 1 mm 4-MU+25 μg/ml HMW-HA, with 1 mm 4-MU+25 μg/ml HMW-HA+25 μg/ml of the 34-mer HA oligosaccharide, with 5 μg/ml of two monoclonal antibody against CD44 (Hermes-1 and BRIC235), or with an irrelevant control antibody (anti-tubulin). B, cells were plated as described above and treated with 1 μg/ml of a monoclonal antibody against TLR4, with an irrelevant control antibody (anti-tubulin (anti-tub.)), with 15 ng/ml of eritoran, or with a placebo. C, 5 × 105 AoSMCs were nuclefected with siRNA against CD44 (siCD44), a scramble siRNA (siSCR), or subjected only to the electrical protocol and nucleofection reagent. After 24 h of incubation, cells were treated with 4-MU alone or 4-MU+HMW-HA as described above. D, cells were plated as described above and treated with 10 μm of U0126 or with 5 μm (final concentration) of LY294002. After 24 h of incubation, the numbers of viable cells were quantified by using trypan blue staining. *, p < 0.01 control versus treated samples.
HA can be also recognized by other receptors (2), and among these, TLR4 could be a good candidate to mediate the rescuing process. TLRs mediate immune responses by sensing bacterial structures such as LPS, viral RNA, and endogenous molecules released by damaged host cells such as heat shock proteins (41). Notably, TLR4 has been described to interact with other polyanionic molecules, including heparan sulfate (42), and therefore could be involved also in the anti-apoptotic mechanism of the other GAGs. HA has been proposed to regulate TLR4, thereby modulating inflammation and apoptosis in mouse lung (2). To verify whether TLR4 was involved in the anti-apoptotic effect of HMW-HA, we treated AoSMCs with 4-MU, 4-MU+HMW-HA, 4-MU+HMW-HA+TLR4 blocking antibody, or with eritoran, a TLR4-directed endotoxin antagonist (12). Fig. 5B shows that both the blocking antibodies and eritoran prevented the rescuing effect of HMW-HA, thereby supporting the critical function of TLR4 in the anti-apoptotic effect mediated by HA in AoSMCs. Anti-TLR4 and eritoran alone (Fig. 5B) or in combination with 4-MU (data not shown) were not statistically significant from control cells. Interestingly, LPS, the main ligand of TLR4, at 1, 10, or 100 ng/ml was not able to reduce the mortality induced by 4-MU (supplemental Fig. 3), suggesting a specific response when HA reacts with TLR4. Although the direct binding of HA to TLR4 has never been demonstrated, it was shown that TLR4, CD44, and MD-2 form a complex that cooperates in HA recognition (43).
Our data obtained with anti-CD44 antibodies and HA oligosaccharide prevented HA-CD44 interaction and signaling, but no information is available as to whether this treatment interferes with TLR4-CD44 complex formation, signaling, or stability. Therefore, we decided to abrogate CD44 expression by means of siRNA and verify whether or not the presence of CD44 protein was necessary for the HA anti-apoptotic effect. After the silencing, by quantitative RT-PCR, we measured the residual CD44 expression that ranged from 15 to 20% respect to control cells. As shown in Fig. 5C, the CD44 silencing alone did not influence cell viability, whereas the lack of CD44 inhibited the rescuing effect of HWM-HA after 4-MU treatment, indicating that CD44 is critical for HMW-HA the anti-apoptotic effect. The specificity of such data were confirmed by a scramble siRNA treatment that maintained the rescuing properties of HMW-HA as the untreated sample. The controversion between the anti-CD44 antibodies and CD44 silencing can be explained taking into consideration the fact that CD44 can form a complex with TLR4 (43, 44), and the beneficial effect of HMW-HA requires both of the receptors. We can speculate that HA could be recognized by TLR4, but, for the anti-apoptotic effect, the entire TLR4/CD44 complex is necessary for a survival signaling.
Although it is generally accepted that HA binds to TLR4 or TLR-4-MD-2 (myeloid differentiation factor 2) complex as the polyanionic nature as well as the disaccharide backbone with the β-glycosidic bond of known TLR4 agonist (LPS) and antagonist (eritoran) (44, 45), our results highlighted a central role of CD44 to regulate a specific TLR4 signaling triggered by HA (probably different form that evoked by LPS) as previously reported Taylor and collaborators (43).
We have also studied whether other GAGs as C6S and chondroitin 4-sulfate could abrogate 4-MU induced apoptosis through TLR4. As shown in supplemental Fig. 4, the blocking of the receptor with antibodies or the treatment with the antagonist did not prevent the rescuing indicating a different anti-apoptotic mechanism that could involve physical phenomena such as the “surface screening effect” theory (Gouy-Chapman-Stern theory) (46).
TLR4-mediated signaling leads to rapid activation of PI3K (47), one of a family of kinases involved in regulation of cell growth, apoptosis, and motility. As the PI3K-AKT signaling pathway is strictly related to cell survival, we evaluated whether this kinase was involved in the anti-apoptotic effect of HMW-HA. We used 5 μm LY294002 to inhibit PI3K and 10 μm of U0126 to block ERK1/2, which is also involved in apoptosis (48). Fig. 5D shows that the two inhibitors alone had little or no effect on AoSMC viability. However, the number of viable cells in 4-MU+HMW-HA treated AoSMCs decreased significantly only after LY264002 addition. This indicates that the PI3K pathway but not the ERK1/2 pathway is crucial for the rescuing effect mediated by HMW-HA.
Cell motility is crucial in atherogenesis. As HA interaction with TLR4 can regulate cell viability, we wondered whether this receptor is involved also in motility control. To address this issue, we repeated previously reported migration assays in which we demonstrated that HMW-HA enhanced AoSMC motility through CD44 (9). As shown in Fig. 6, after 24 h from the wound, the effect of HMW-HA to induce cell movement was abolished by treating AoSMCs with TLR4 blocking antibodies as well as by adding the TLR4 antagonist eritoran, whereas it was unaltered by unrelated antibodies or placebo. Additional control experiments with anti-TLR4 and eritoran alone (and in combination with 4-MU) without added HMW-HA did not show statistically significant differences from untreated cells (results not shown) clearly showing that TLR4 is able to participate to the modulation of AoSMC migration in vitro. As 4-MU reduced the number of vital cells by 40%, the delayed wound healing response may reflect the problem in proliferation rather than in migration. To exclude this issue, we repeated the experiments quantifying migration after 6 h from the wound finding comparable results (supplemental Fig. 5), suggesting a role of TLR4 in motility. Similar results were previously obtained in melanoma cells where the abrogation of TLR4 by short interference RNA inhibited the motility induced by short HA oligosaccharides (49). Another HA receptor (i.e. RHAMM) was shown to control SMC migration in response to HA (50). All these results highlight the importance of HA in the fine tuning of cell movement.
FIGURE 6.
TLR4 affects AoSMC motility. Confluent AoSMCs were left untreated or treated with various combination of 1 mm 4-MU, 25 μg/ml HMW-HA, 1 μg/ml of anti-TLR4 monoclonal antibody, 1 μg/ml of unrelated antibody (anti-α-tubulin), 15 ng/ml of E5564, or placebo; scratched with a yellow tip; incubated for 24 h; and photographed under an inverted microscope. Images were analyzed by using NIH Image software, and the numbers of migrated cells into the scratched areas were counted. Relative data are expressed as mean ± S.E. in three different experiments. *, p < 0.05 versus untreated sample.
Overall, our results provide strong evidence that the apoptotosis induced in AoSMCs in the presence of 4-MU can be blocked through the ability of HMW-HA and other GAGs to induce a PI3K anti-apoptotic signaling pathway through interaction with the TLR4-CD44 complex. Therefore, the role of CD44 in TLRs signaling is becoming critical in light of recent literature reporting the modulation of the NF-kB pathway throughout not only HA (15) but also other proinflammatory secreted molecules as tumor necrosis factor-inducible gene 6 (49).
Supplementary Material
Acknowledgments
We thank Adelio Cangemi for cytofluorimetric analyses, Nicola Cirenei for microarray analyses, Akira Asari (Glycoscience Laboratories, Inc., Japan) for providing pure 34-mer HA oligosaccharide, the Eisai Research Institute for providing eritoran and placebo, the Developmental Studies Hybridoma Bank (maintained by The University of Iowa) for Hermes-1 antibody, and Maurizio Brivio for LPS. We gratefully acknowledge the “Centro Grandi Attrezzature per la Ricerca Biomedica” Università degli Studi dell'Insubria for use of its instruments facility.
This work was supported by the “Centro Grandi Attrezzature per la Ricerca Biomedica” Università degli Studi dell'Insubria and the PhD School in Biological and Medical Sciences fellowships (to M. R., M. C., and S. D.). This work was also supported by grants from the University of Insubria (FAR) (to D. V., A. P., and G. D. L.), Centro Interuniversitario di Biotecnologie (to A. P.), Fondazione Comunitaria del Varesotto-ONLUS (to D. V.), and a young researcher award from Centro Insubre di Biotecnologie per la Salute Umana (to D. V.).

The on-line version of this article (available at http://www.jbc.org) contains supplemental Tables 1 and 2 and Figs. 1–5.
- HA
- hyaluronan
- GAG
- glycosaminoglycan
- HAS
- HA synthase(s)
- HMW-HA
- high molecular weight HA
- AoSMC
- aortic smooth muscle cell
- 4-MU
- 4-methylumbelliferone
- ECM
- extracellular matrix
- C6S
- chondroitin 6-sulfate
- DS
- dermatan sulfate
- KS
- keratan sulfate
- TLR-4
- Toll-like receptor 4
- PAGEFS
- polyacrylamide gel electrophoresis of fluorophore-labeled saccharides.
REFERENCES
- 1. Tammi R. H., Passi A., Rilla K., Karousou E., Vigetti D., Makkonen K., Tammi M. I. (2011) FEBS J. 278, 1419–1428 [DOI] [PubMed] [Google Scholar]
- 2. Jiang D., Liang J., Noble P. W. (2007) Annu. Rev. Cell Dev. Biol. 23, 435–461 [DOI] [PubMed] [Google Scholar]
- 3. Vigetti D., Viola M., Karousou E., Genasetti A., Rizzi M., Clerici M., Bartolini B., Moretto P., De Luca G., Passi A. (2008) Scientific World Journal 8, 1116–1118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Vigetti D., Moretto P., Viola M., Genasetti A., Rizzi M., Karousou E., Pallotti F., De Luca G., Passi A. (2006) FASEB J. 20, 1118–1130 [DOI] [PubMed] [Google Scholar]
- 5. Cuff C. A., Kothapalli D., Azonobi I., Chun S., Zhang Y., Belkin R., Yeh C., Secreto A., Assoian R. K., Rader D. J., Puré E. (2001) J. Clin. Invest. 108, 1031–1040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Kothapalli D., Flowers J., Xu T., Puré E., Assoian R. K. (2008) J. Biol. Chem. 283, 31823–31829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kothapalli D., Zhao L., Hawthorne E. A., Cheng Y., Lee E., Puré E., Assoian R. K. (2007) J. Cell Biol. 176, 535–544 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Toole B. P. (2004) Nat. Rev. Cancer 4, 528–539 [DOI] [PubMed] [Google Scholar]
- 9. Vigetti D., Rizzi M., Viola M., Karousou E., Genasetti A., Clerici M., Bartolini B., Hascall V. C., De Luca G., Passi A. (2009) Glycobiology 19, 537–546 [DOI] [PubMed] [Google Scholar]
- 10. Vigetti D., Viola M., Karousou E., Rizzi M., Moretto P., Genasetti A., Clerici M., Hascall V. C., De Luca G., Passi A. (2008) J. Biol. Chem. 283, 4448–4458 [DOI] [PubMed] [Google Scholar]
- 11. Tawada A., Masa T., Oonuki Y., Watanabe A., Matsuzaki Y., Asari A. (2002) Glycobiology 12, 421–426 [DOI] [PubMed] [Google Scholar]
- 12. Mullarkey M., Rose J. R., Bristol J., Kawata T., Kimura A., Kobayashi S., Przetak M., Chow J., Gusovsky F., Christ W. J., Rossignol D. P. (2003) J. Pharmacol. Exp. Ther. 304, 1093–1102 [DOI] [PubMed] [Google Scholar]
- 13. Smyth G. K. (2005) in Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Gentleman R., Carey V., Dudoit S., Irizarry R., Huber W. eds.), pp. 397–420, Springer, New York [Google Scholar]
- 14. Dennis G., Jr., Sherman B. T., Hosack D. A., Yang J., Gao W., Lane H. C., Lempicki R. A. (2003) Genome Biol. 4, P3 [PubMed] [Google Scholar]
- 15. Vigetti D., Genasetti A., Karousou E., Viola M., Clerici M., Bartolini B., Moretto P., De Luca G., Hascall V. C., Passi A. (2009) J. Biol. Chem. 284, 30684–30694 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Vigetti D., Genasetti A., Karousou E., Viola M., Moretto P., Clerici M., Deleonibus S., De Luca G., Hascall V. C., Passi A. (2010) J. Biol. Chem. 285, 24639–24645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Vigetti D., Clerici M., Deleonibus S., Karousou E., Viola M., Moretto P., Heldin P., Hascall V. C., De Luca G., Passi A. (2011) J. Biol. Chem. 286, 7917–7924 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Karousou E. G., Viola M., Genasetti A., Vigetti D., Luca G. D., Karamanos N. K., Passi A. (2005) Biomed. Chromatogr. 19, 761–765 [DOI] [PubMed] [Google Scholar]
- 19. Viola M., Karousou E. G., Vigetti D., Genasetti A., Pallotti F., Guidetti G. F., Tira E., De Luca G., Passi A. (2006) J. Pharm. Biomed. Anal. 41, 36–42 [DOI] [PubMed] [Google Scholar]
- 20. Vigetti D., Viola M., Gornati R., Ori M., Nardi I., Passi A., De Luca G., Bernardini G. (2003) Matrix Biol. 22, 511–517 [DOI] [PubMed] [Google Scholar]
- 21. Vigetti D., Ori M., Viola M., Genasetti A., Karousou E., Rizzi M., Pallotti F., Nardi I., Hascall V. C., De Luca G., Passi A. (2006) J. Biol. Chem. 281, 8254–8263 [DOI] [PubMed] [Google Scholar]
- 22. Riessen R., Wight T. N., Pastore C., Henley C., Isner J. M. (1996) Circulation 93, 1141–1147 [DOI] [PubMed] [Google Scholar]
- 23. Sheehan K. M., DeLott L. B., West R. A., Bonnema J. D., DeHeer D. H. (2004) Life Sci. 75, 3087–3102 [DOI] [PubMed] [Google Scholar]
- 24. Suwan K., Choocheep K., Hatano S., Kongtawelert P., Kimata K., Watanabe H. (2009) J. Biol. Chem. 284, 8596–8604 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Gorman A. M., Samali A., McGowan A. J., Cotter T. G. (1997) Cytometry 29, 97–105 [PubMed] [Google Scholar]
- 26. Perfettini J. L., Kroemer R. T., Kroemer G. (2004) Nat. Cell Biol. 6, 386–388 [DOI] [PubMed] [Google Scholar]
- 27. Lokeshwar V. B., Lopez L. E., Munoz D., Chi A., Shirodkar S. P., Lokeshwar S. D., Escudero D. O., Dhir N., Altman N. (2010) Cancer Res. 70, 2613–2623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kaneko T., Saito H., Toya M., Satio T., Nakahara K., Hiroi M. (2000) J. Assist. Reprod. Genet. 17, 162–167 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Lisignoli G., Grassi F., Zini N., Toneguzzi S., Piacentini A., Guidolin D., Bevilacqua C., Facchini A. (2001) Arthritis Rheum. 44, 1800–1807 [DOI] [PubMed] [Google Scholar]
- 30. Onoda M., Nakaseko C., Yokota A., Saito Y. (2009) Hematology 14, 213–219 [DOI] [PubMed] [Google Scholar]
- 31. Pauloin T., Dutot M., Joly F., Warnet J. M., Rat P. (2009) Mol. Vis. 15, 577–583 [PMC free article] [PubMed] [Google Scholar]
- 32. Xu H., Ito T., Tawada A., Maeda H., Yamanokuchi H., Isahara K., Yoshida K., Uchiyama Y., Asari A. (2002) J. Biol. Chem. 277, 17308–17314 [DOI] [PubMed] [Google Scholar]
- 33. Yang T., Witham T. F., Villa L., Erff M., Attanucci J., Watkins S., Kondziolka D., Okada H., Pollack I. F., Chambers W. H. (2002) Cancer Res. 62, 2583–2591 [PubMed] [Google Scholar]
- 34. Wei M. C., Zong W. X., Cheng E. H., Lindsten T., Panoutsakopoulou V., Ross A. J., Roth K. A., MacGregor G. R., Thompson C. B., Korsmeyer S. J. (2001) Science 292, 727–730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Oda E., Ohki R., Murasawa H., Nemoto J., Shibue T., Yamashita T., Tokino T., Taniguchi T., Tanaka N. (2000) Science 288, 1053–1058 [DOI] [PubMed] [Google Scholar]
- 36. Yu J., Wang Z., Kinzler K. W., Vogelstein B., Zhang L. (2003) Proc. Natl. Acad. Sci. U.S.A. 100, 1931–1936 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Vaughn A. E., Deshmukh M. (2008) Nat. Cell Biol. 10, 1477–1483 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Godar S., Ince T. A., Bell G. W., Feldser D., Donaher J. L., Bergh J., Liu A., Miu K., Watnick R. S., Reinhardt F., McAllister S. S., Jacks T., Weinberg R. A. (2008) Cell 134, 62–73 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Naor D., Sionov R. V., Ish-Shalom D. (1997) Adv. Cancer Res. 71, 241–319 [DOI] [PubMed] [Google Scholar]
- 40. Chiu R. K., Carpenito C., Dougherty S. T., Hayes G. M., Dougherty G. J. (1999) Neoplasia 1, 446–452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Tsan M. F., Gao B. (2004) J. Leukoc. Biol. 76, 514–519 [DOI] [PubMed] [Google Scholar]
- 42. Johnson G. B., Brunn G. J., Kodaira Y., Platt J. L. (2002) J. Immunol. 168, 5233–5239 [DOI] [PubMed] [Google Scholar]
- 43. Taylor K. R., Yamasaki K., Radek K. A., Di Nardo A., Goodarzi H., Golenbock D., Beutler B., Gallo R. L. (2007) J. Biol. Chem. 282, 18265–18275 [DOI] [PubMed] [Google Scholar]
- 44. Jiang D., Liang J., Noble P. W. (2011) Physiol. Rev. 91, 221–264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Kim H. M., Park B. S., Kim J. I., Kim S. E., Lee J., Oh S. C., Enkhbayar P., Matsushima N., Lee H., Yoo O. J., Lee J. O. (2007) Cell 130, 906–917 [DOI] [PubMed] [Google Scholar]
- 46. Vigetti D., Andrini O., Clerici M., Negrini D., Passi A., Moriondo A. (2008) Cell Physiol. Biochem. 22, 137–146 [DOI] [PubMed] [Google Scholar]
- 47. Laird M. H., Rhee S. H., Perkins D. J., Medvedev A. E., Piao W., Fenton M. J., Vogel S. N. (2009) J. Leukoc. Biol. 85, 966–977 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Jo S. K., Cho W. Y., Sung S. A., Kim H. K., Won N. H. (2005) Kidney Int. 67, 458–466 [DOI] [PubMed] [Google Scholar]
- 49. Voelcker V., Gebhardt C., Averbeck M., Saalbach A., Wolf V., Weih F., Sleeman J., Anderegg U., Simon J. (2008) Exp. Dermatol. 17, 100–107 [DOI] [PubMed] [Google Scholar]
- 50. Savani R. C., Wang C., Yang B., Zhang S., Kinsella M. G., Wight T. N., Stern R., Nance D. M., Turley E. A. (1995) J. Clin. Invest. 95, 1158–1168 [DOI] [PMC free article] [PubMed] [Google Scholar]
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