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. Author manuscript; available in PMC: 2024 Aug 7.
Published in final edited form as: Angew Chem Int Ed Engl. 2023 Jun 29;62(32):e202304325. doi: 10.1002/anie.202304325

Rational Design and Expedient Synthesis of Heparan Sulfate Mimetics from Natural Aminoglycosides for Structure and Activity Relationship Studies

Joseph Wakpal 1, Vishaka Pathiranage 1, Alice R Walker 1, Hien M Nguyen 1
PMCID: PMC10527013  NIHMSID: NIHMS1908357  PMID: 37285191

Abstract

Heparan sulfate (HS) contains variably repeating disaccharide units organized into high and low-sulfated domains. This rich structural diversity enables HS to interact with many proteins and regulate key signaling pathways. Efforts to understand structure-function relationships and harness the therapeutic potential of HS are hindered by the inability to synthesize an extensive library of well-defined HS structures. We herein report a rational and expedient approach to access a library of 27 oligosaccharides from natural aminoglycosides as HS mimetics in 7 – 12 steps. This strategy significantly reduces the number of steps compared to the traditional synthesis of HS oligosaccharides from monosaccharide building blocks. Combined with computational insights, we identify a new class of four trisaccharide compounds derived from aminoglycoside tobramycin that mimic natural HS and have a strong binding to heparanase but a low affinity for off-target platelet factor-4 protein. This work contributes to a better understanding of HS-protein interactions and provides a useful tool for the development of anti-heparanase therapeutics.

Keywords: Heparan sulfate, aminoglycosides, tobramycin, heparanase, platelet factor 4

Graphical Abstract

graphic file with name nihms-1908357-f0001.jpg

A library of 27 oligosaccharides as heparan sulfate mimetics were efficiently synthesized from natural aminoglycoside tobramycin in 7 – 12 steps. Rapid generation of these sulfated aminoglycans will provide a tool to decipher HS-protein interactions and develop HS therapeutic potential.

INTRODUCTION

Heparan sulfate (HS) is one of the most abundant glycosaminoglycans (GAGs), which are linear, negatively charged polysaccharides of high molecular weight up to 100,000 Dalton (Figure 1).[1] Heparan sulfate is found at the cell surface and extracellular matrix (ECM).[2] It is composed of repeating disaccharide units of D-glucosamine (GlcN) and uronic acid, where uronic acid can be either D-glucuronic acid (GlcA) or L-iduronic acid (IdoA) (Figure 1).[3] The GlcN unit is connected to the uronic acid unit (GlcA or IdoA) via an α(1,4)-glycosidic linkage, while GlcA/IdoA is connected to GlcN via a β(1,4)-linkage (Figure 1). Heparan sulfate is structurally related to the anticoagulant heparin. While HS is located outside the cell, heparin is inside mast cells.[3] The most common disaccharide unit within HS comprises a GlcA linked to GlcN, making up 50% of the total disaccharide units.[4] In contrast, GlcN-IdoA disaccharide units make up 75% of heparin.

Figure 1.

Figure 1.

Structure of heparan sulfate polysaccharide

Sulfation is a dynamic and complex posttranslational modification process. It can occur at the N-, 6-O-, and 3-O-positions of GlcN and the 2-O-position of GlcA or IdoA of HS (Figure 1), giving rise to variably sulfated patterns. As a consequence of its polyanionic character, HS interacts with hundreds of proteins and plays a crucial role in many biological processes.[5] Changes in the degree of sulfation (either under or over-sulfation) are also associated with several diseases[6] and may direct the location or activities of proteins.[7] Efforts to decipher structure-function relationships of HS-protein interactions and develop the therapeutic potential of HS-mimicking oligosaccharides[8] and glycopolymers[9] are hindered by the complexity and microheterogeneity of HS and a lack of tools to manipulate specific HS-protein interactions.

To advance our understanding of HS biology, it is necessary to access structurally diverse HS oligosaccharides with defined sulfation domains in large quantities. Chemical synthesis has been successful in providing solutions to this challenge.[10] Several HS molecules with specific sulfation sequences have been synthesized to resemble the antithrombin III (ATIII)-binding sequence,[11] to be developed into an antithrombotic drug,[12] to find use as a therapeutic agent for Alzheimer's disease,[13] to inhibit the herpes simplex virus type 1 host-cell interaction,[14] and to modulate heparanase activity.[15] Despite this remarkable progress, accessing a diverse collection of HS-mimicking molecules lies in preparing selectively protected HS monosaccharides, which are not commercially available and were synthesized in 7 – 11 steps (Figure 2A).[12-15] As such, even syntheses of selectively protected GlcN-GlcA-GlcN trisaccharide intermediates require 24 – 34 steps.[12-16] Recently, the core disaccharides of HS were elegantly generated from natural heparin, N-Ac-heparin, and heparosan.[17,18] While this strategy is indisputably a powerful tool to expedite HS synthesis, it requires an estimated 10 – 12 steps to convert a fully acetylated GlcN-IdoA into selectively protected GlcN-GlcA if GlcNS6S-GlcA disaccharide is the required core (e.g., 2 in Figure 2A) for the assembly of HS oligosaccharides.[17]

Figure 2.

Figure 2.

Approach to HS oligosaccharides and HS-mimicking oligosaccharides. a) Synthesis of selectively protected trisaccharide intermediates and HS trisaccharide 2 from traditional monosaccharide precursors. b) synthesis of oligosaccharides resembling HS from commercially available aminoglycoside tobramycin 3 with Na+ as a counterion.

Here, we report an expedient strategy to rationally design and synthesize an extensive library of 27 sulfated trisaccharides as HS mimetics from low-cost and readily available aminoglycoside tobramycin (3, Figure 2B). This strategy significantly reduces the total number of steps by divergent modification of a single protected trisaccharide intermediate derived in 3 steps from tobramycin. Syntheses of trisaccharides resembling HS, with defined sulfation domains and varied functional groups, are achieved in 7 – 12 steps from tobramycin (Figure 2B). These HS mimetics were studied for their ability to interact with heparanase and platelet factor 4 (PF4) protein, which causes antibody-induced thrombocytopenia associated with life-threatening thrombosis.[19,20] Mammalian heparanase is upregulated in the tumor microenvironment of all types of cancers.[21] It degrades polymeric HS into small oligosaccharides bound to proangiogenic and protumorigenic growth factors. Thus, heparanase has been viewed as a promising target for anti-cancer drug development.[22] However, anti-heparanase-based therapy has not yet been implemented in the clinic. All anti-heparanase compounds being examined in clinical trials are heparin-like compounds. While these molecules have been successful in many in vivo models, bleeding and thrombotic complications halted their clinical advancement in humans.[23] Upon evaluation of 27 HS mimetics, four compounds exhibited strong binding to heparanase and had a weak affinity for off-target PF4 protein due to their N-sulfation and carefully positioned hydrophobic side chains on the tobramycin saccharide framework. They are more potent heparanase inhibitors than trisaccharide 2 (Figure 2A), prepared in 32 steps from non-commercially available monosaccharide building blocks.[15] This expedient strategy highlights opportunities for the rapid generation of HS mimetics to decipher HS-protein interactions and develop HS therapeutic potential.

RESULTS AND DISCUSSION

Our goal is to develop cost-effective strategies, aided by computational insights, for the expedient and scalable preparation of HS-mimicking trisaccharides with a high affinity for heparanase and a low affinity for off-target PF4 protein.[19] Aminoglycosides are attractive in this light as they are commercially available (Figure 3).[24] They target 16S bacterial rRNA and inhibit protein synthesis.[24] They contain multiple hydroxyl and amine groups and have a high affinity toward negatively charged nucleotides at physiological pH 7.4.[24] We hypothesize that if the hydroxyl and amine groups of aminoglycosides are selectively sulfated, the resulting sulfated aminoglycans will no longer bind to rRNA but can interact with heparanase. With the aid of computational study, we identified three N-sulfated aminoglycosides derived from tobramycin (3), kanamycin B (5), and apramycin (7) (Figures 3 and S4).

Figure 3.

Figure 3.

Tobramycin (3), kanamycin B (5), and apramycin (7) and their N-sulfated aminoglycans 4, 6, and 8 with Na+ as a counterion

To validate our design, we initiated in-silico docking studies with N-sulfated aminoglycosides into the apo heparanase crystal structure (PDB code: 5E8M)[25] imported into the AutoDock Vina Plugin of the YASARA program (Figures S3-S4).[26] We used HS trisaccharide 2 (Figure 2A) as a model substrate to determine its location in the binding pocket and utilize it as a benchmark for comparison to designed compounds. Compound 2 was placed into the binding pocket of heparanase in the same direction as natural HS trisaccharide (Figure S8).[25] The ligand-heparanase complex was subjected to molecular dynamics (MD) simulations to validate the structure’s stability. The final conformation adopted by 2 has strong hydrophobic interactions along the sugar ring, consequently pushing it towards Gly350 and Gly349 (Figure 4A). Towards the end of the MD simulation, 2 lost the interactions with the inner pocket residues, and its upper part (located near Gly350) moved out from the inner pocket, opening more to the solvent environment (Figure 4A). In addition, 2 does not have a consistent set of high occupancy hydrogen bonds (Table S6). Nevertheless, the GlcA CO2 group of 2 forms a strong hydrogen bond with Lys232, while the 6-O-SO3 of the GlcN units was involved in hydrogen bonds with Arg272, Gln270, and Arg303 and salt bridges with Arg272 and Arg303 (Figure 4A). This set of interactions provides a baseline of key interactions required to achieve the binding potency of 2.

Figure 4.

Figure 4.

Computational docking of HS mimetics. a) Key interactions between HS trisaccharide 2 for a representative snapshot at the end of the MD simulation and active site residues. b) Interactions between HS mimetic 4 for a representative snapshot at the end of the MD simulation and active site residues. Color code description for heparanase-ligand interactions: dashed magenta (hydrogen bond), solid magenta (salt bridge), solid green (hydrophobic interaction), solid blue (pi-cation), yellow stick (HS mimetics), light blue stick (active site amino acid residues). For simplicity, we only labeled ring A of the saccharide moiety.

Next, the binding of N-sulfated tobramycin 4 into the apo crystal structure of heparanase was explored computationally. Computational analysis showed that 4 (Figure 4B) is oriented in the same direction as HS trisaccharide 2 (Figure 4A) in the binding pocket of heparanase. However, 4 had a lower overall hydrogen bonding occupancy (Table S4), especially toward the end of the trajectory, compared to 2. In addition, compound 4 lost some interaction with Glu343 located deep inside the binding pocket, compensated for by a new strong interaction with Glu225. However, 4 maintained hydrogen bond and salt bridge interactions with Arg272 and Lys232.

To validate our computational results and determine if structural differences between 2 and sulfated aminoglycosides would correspond to in vitro changes in heparanase inhibition, N-sulfated tobramycin 4, kanamycin 6, and apramycin 8 were prepared (Schemes S1-S4 in the SI).[27] The heparanase-inhibiting activity of 4, 6, and 8 was then evaluated using the in vitro TR-FRET assay, which is based on the time-resolved (TR) measurement of fluorescence and fluorescence resonance energy transfer (FRET).[28] As shown in Table 1, N-sulfated tobramycin 4 was the most potent compound against heparanase with an IC50 value of 0.88 ± 0.030 μM (entry 2) but less potent than HS trisaccharide 2 (IC50 = 0.39 ± 0.010 μM, entry 1). This result is consistent with our computational studies (Figure 4). However, it is essential to note that it took only 6 steps to prepare 4 and 32 steps to prepare 2.[15] Both N-sulfated kanamycin 6 (IC50 = 5.9 ± 0.77 μM, entry 3) and N-sulfated apramycin 8 (IC50 = 4.8 ± 0.39 μM, entry 4) were approximately six-fold less potent than N-sulfated tobramycin 4. Surprisingly, both heptasaccharide 9 (IC50 = 41 ± 3.6 μM, entry 5) and octasaccharide 10 (IC50 = 3.9 ± 0.20 μM, entry 6) bearing the GlcN-GlcA and GlcN-IdoA disaccharide cores exhibited significantly decreased binding to heparanase compared to 4 (Table 1). Although 10 is more potent than 9, its potency is approximately five-fold lower than that of 4 and similar to both N-sulfated kanamycin 6 and apramycin 8. The observation that 4 is more potent than larger oligosaccharides 9 and 10 indicates that saccharide backbone composition, precise positioning of the sulfate groups, and overall charge play critical roles in determining the affinity of HS mimetics for heparanase.

Table 1.

Inhibition of heparanase by N-sulfated pseudo-trisaccharide aminoglycosides 4, 6, and 8, HS trisaccharide 2, and large oligosaccharides 9 and 10.

Entry Sulfated oligosaccharides IC50 values
1 HS trisaccharide 2 0.39 ± 0.010 μM
2 N-sulfated tobramycin 4 0.88 ± 0.030 μM
3 N-sulfated kanamycin 6 5.9 ± 0.77 μM
4 N-sulfated apramycin 8 4.8 ± 0.39 μM
5 graphic file with name nihms-1908357-t0013.jpg 41 ± 3.6 μM
6 graphic file with name nihms-1908357-t0014.jpg 3.9 ± 0.20 μM

Since N-sulfated tobramycin 4 exhibited the highest inhibitory activity against heparanase among the aminoglycosides tested, we chemically modified tobramycin to generate a more extensive library of potential HS mimetics with the aid of computational docking (Figure S4). Syntheses of these compounds require orthogonal protecting groups that can be chemoselectively removed to unmask hydroxyl or amino groups for selective sulfation or functionalization. This can be expedited by divergent modification of a protected pseudo-trisaccharide 11 (Scheme 1) derived in 3 steps from tobramycin (3). In this approach, the amines were first converted into the corresponding azides (N3). This azide formation step should be handled with CAUTION as organic azides are potentially explosive. Next, the C6-hydroxyl in the aminosugar ring A, required for selective O-sulfation and/or functionalization, was protected with the trityl (Tr) group. The remaining hydroxyls were protected with the 2-naphthylmethyl (Nap) groups. The Tr group can be removed with trifluoroacetic acid (TFA) without affecting the Nap group. In turn, the Nap group can be cleaved with DDQ,[29] whose conditions do not affect N3. Our recent finding illustrates that 6-O-sulfation of the GlcN units of HS trisaccharide 2 is critical for heparanase recognition (Figure 2A).[15] As such, the 6-O-Tr group was exchanged to a sulfate group, forming 12 (4 steps from 11, Scheme 1). The 6-O-Tr group was also exchanged to acetyl and propargyl group forming 13 and 14, respectively (5 steps from 11). Next, O-sulfated tobramycin compounds 1517 were prepared to determine their affinity for heparanase compared to their N-sulfated counterparts. Compound 15 bearing NH2 was prepared in 3 steps from 11 while 16 and 17 bearing NHAc were synthesized in 4 and 5 steps, respectively (Scheme 1). In the synthesis of 1517, DDQ was used to selectively remove the Nap groups, as hydrogenolysis can reduce azide into an amine.

Scheme 1.

Scheme 1.

Schematic Syntheses of Sulfated Trisaccharides from Tobramycin.

Next, we installed the lipophilic oleanolic acid linker into the C6-position of ring A, forming 1820 (Scheme 1). Oleanolic acid has been shown to enhance anticancer activity.[30] The mechanism of action of oleanolic acid and its derivatives includes anti-cancer cell proliferation, inducing tumor cell apoptosis and autophagy, regulating cell cycle regulatory proteins, and inhibiting vascular endothelial growth, tumor cell migration, and invasion. Further, the attachment of a lipophilic linker to the sugar backbone has been reported to improve potency and pharmacokinetics and reduce common side effects of HS mimetics.[31] After removing the trityl group, the free C6-hydroxyl in ring A was alkylated with BocHN(CH2)2Cl, followed by Boc deprotection and amidation with an oleanolic acid chloride. This trisaccharide-oleanolic acid intermediate requires only four sequential steps (azide reduction, sulfation, hydrogenolysis, and deacetylation) to generate 19. It takes 3 steps from the trisaccharide-oleanolic acid intermediate to form 20 (azide reduction, sulfation, and hydrogenolysis). Subsequent deacetylation of 20 provides compound 18.

The crystal structure of heparanase-HS ligand[25] and our recent docking study of HS trisaccharide 2 (Figure 4A) indicate that the CO2 group of the GlcA is vital for recognition due to its hydrogen bonding with Lys231 and Lys232 (Figure 4A). As a consequence of these findings, the C6-hydroxyl in ring A was converted into carboxylic acid 21 (Scheme 1). This was followed by the amidation of 21 with several anilines and aliphatic amines to create compounds 2225. It takes 5 steps to prepare 21 from the key intermediate 11 and 6 steps to synthesize 2225 (Scheme 1). Heparanase possesses a single deep binding groove.[25] Thus, its binding pocket could accommodate the aromatic 2-naphthylmethyl (Nap) protected compounds. We hypothesize that the Nap group can stabilize the ligands through hydrophobic and cation-pi interactions with amino acid residues in the binding pocket of heparanase (Figure S4). The divergent transformations of the intermediate 11 to ten compounds (2635) were achieved in 3 – 6 steps.

Overall, this approach expedites the synthesis of 27 HS mimetics with defined O- and N-sulfations in 7 – 12 steps using a single strategically key-protected trisaccharide 11 (10 g scale) derived from natural tobramycin. All sulfated compounds were purified by Sephadex chromatography, confirmed by NMR and MS, and produced on a 10 – 100 mg scale. Their ability to inhibit heparanase was assessed (see Scheme S4 for IC50 values of all compounds) using the same TR-FRET assay for evaluating 4, 6, and 810 (Table 1). We first assessed the significance of N-sulfated compounds bearing the 6-O-sulfate (12), acetyl (13), and propargyl (14) on ring A as well as O-sulfated compounds 1517. Unlike HS trisaccharide 2 whose 6-O-SO3 is critical for binding to heparanase,[15] the presence of the 6-O-SO3 on ring A of 12 has negative impacts. Compound 12 (IC50 = 4.0 ± 0.55 μM, Figure 5) was much less potent than N-sulfated tobramycin 4 (IC50 = 0.88 ± 0.030 μM) and HS trisaccharide 2 (IC50 = 0.39 ± 0.010 μM) against heparanase. This result illustrates that the number of sulfates does not correlate with heparanase binding. Docking analysis showed that 12 (Figure S9) is oriented in the opposite direction of 2 and 4 in the binding pocket of heparanase to minimize steric interactions of the 6-O-SO3 on ring A with amino acid residues lining the binding pocket. A similar effect was observed with 13 (IC50 = 1.3 ± 0.11 μM) and 14 (IC50 = 2.2 ± 0.33 μM). Nevertheless, 1214 were more potent than heptasaccharide 9 and displayed similar inhibitory activity to octasaccharide 10 (Table 1). Next, we compared the impacts of O-sulfated compounds 1517 to N-sulfated compounds (Figure 5). O-Sulfated compound 15 displayed modest potency (IC50 = 15 ± 1.2 μM, Figure 5) compared to N-sulfated compound 4. While 4 is oriented in the binding pocket of heparanase analogous to HS trisaccharide 2, compound 15 was located in the opposite direction (Figure S4). Other O-sulfated compounds 16 (IC50 = 14 ± 0.99 μM) and 17 (IC50 = 27 ± 0.98 μM) also exhibited modest inhibition. These data indicate that O-sulfated compounds are less potent heparanase inhibitors than N-sulfated compounds.

Figure 5.

Figure 5.

Inhibition of heparanase activity by sulfated tobramycin derivatives using a TR-FRET assay. Data are shown as means ± SEM (n=3). ***p<0.0005 and ****p<0.0001.

Next, we evaluated 2125 for their inhibitory activity against heparanase (Figure 6A). Compound 21 bearing the C6-CO2 group was the most potent heparanase inhibitor with IC50 = 50 ± 1.2 nM. The presence of the CO2 group at the C6 position on ring A significantly impacts the binding affinity, as evident from the comparison of 21 with N-sulfated compound 4 bearing the C6-hydroxyl group (Table 1). Although the presence of the C6-aniline amide group in 22 increases heparanase binding compared to 4, compound 22 (IC50 = 180 ± 0.75 nM) is less potent than 21. In contrast, the presence of the C6- difluoro-benzyl amide in 23 (IC50 = 17 ± 1.2 μM), sulfated aromatic amide in 24 (IC50 = 88 ± 1.9 μM), and adamantyl amide in 25 (IC50 = 8.5 ± 0.93 μM), reduces the potency to micromolar concentrations compared to 21 and 22.

Figure 6.

Figure 6.

(A) Inhibition of heparanase activity (IC50) by 2125 using a TR-FRET assay; (B) Interactions between hydrogen bonds between 21 and key active site residues; (C) interactions between 22 for a representative snapshot at the end of the MD simulation and key active site residues.

Computational studies of compounds 21 and 22 were performed. At the end of MD, 21 has strong interactions with numerous residues deep in the binding pocket (Figure 6B). This includes 21 specific types of hydrogen bonding throughout the binding pocket with a high percentage of occupancy (>20%) over the course of the simulation ( Table S1) compared to all other compounds, which show 0-15 hydrogen bonds <20% (Tables S2 - S7). Due to its small size, 21 shows unique interactions with Asn224 and Glu343 deep inside the pocket (Figure 6B) that help to explain its high affinity. Compound 22 has weaker average hydrogen bonding interactions over time compared to that of 21 (lowered by 10-30% of simulation time) (Table S3). However, 22 maintains strong interactions and salt bridges with residues close to the sulfate groups (Figure 6C). The presence of the C6-phenyl group pushes 22 to charged interactions on the surface of the binding pocket (Figure 6C). In addition, Arg303 curves over the top of the binding pocket as part of its interaction, closing off that section and potentially disfavoring unbinding. Among compounds screened, 24 exhibited the least potency because it made no contact with the C-terminus of heparanase (Figure S4). In contrast, the other compounds in this series showed at least two interactions with the C-terminus.

Next, we investigated heparanase binding by compounds with the lipophilic oleanolic acid at the 6-O position on ring A (Figure 7A). Although 1820 have identical structures except for the functionality at the C22-position on the oleanolic acid (18: R = H, 19: R = SO3, and 20: R = Ac), 18 displayed the highest inhibitory activity (IC50 = 0.50 ± 0.030 μM) when compared to 19 (IC50 = 1.3 ± 0.10 μM) and 20 (IC50 = 1.4 ± 0.12 μM). Computational analysis showed that the oleanolic acid moiety of 18 is fitted into the lipophilic region of heparanase (Figure S4 in the SI). More significantly, installing the aromatic 2-naphthylmethyl (Nap) groups forming compound 30 proved advantageous. Compound 30 was the most potent heparanase inhibitor with an IC50 value in nanomolar concentration (170 ± 2.2 nM) among compounds screened in this series (Figure 7A). Although 30 has a higher molecular weight and a more extensive ring system than 18, the MD simulation results show that the charged section of 30 is stable and forms strong hydrogen bonds and salt bridges inside the binding pocket (Figure 7B and Table S2). The hydrophobic ring systems prevent 30 from going deep into the binding pocket like 21 (Figure 6B), but it is somewhat counteracted by the formation of pi-cation interactions between Arg272/Lys231 and the Nap rings. Additional hydrophobic interactions further stabilize 30 in the binding pocket (Figure 7B). The oleanolic acid group interacts well with His486 and Leu354 but is hampered by being primarily solvent exposed despite being predominantly hydrophobic. We also note that a well-ordered network of waters stretches across the charged region of 30 but is disrupted close to the Nap rings and oleanolic acid moiety. This could indicate that part of the reason for 30’s high affinity involves the reduction of desolvation energy required for 30 to bind to the surface of the protein.

Figure 7.

Figure 7.

(A) Inhibition of heparanase activity by 1820 and 30 using a TR-FRET assay. Data are shown as means ± SEM (n=3). *p<0.05 and **p<0.01; (B) interactions between compound 30 at the end of the MD simulation.

Most of the 2-naphthylmethyl (Nap)-containing compounds show good affinity to heparanase (Figure 8A). In addition to the oleanolic acid-containing compound 30 (IC50 = 170 ± 2.2 nM), compounds 29 (IC50 = 190 ± 2.3 nM) and 34 (IC50 = 120 ± 0.91 nM) are among the most potent inhibitors of heparanase. Unlike 30 (Figure 7B), compound 34 has lost some hydrogen bond interactions at the substituted position with the new benzyl ester group (Figure 8B). However, 34 has gained several new strong hydrogen bond interactions with Ser228 and Thr447 (Table S7). In addition, unlike 30, compound 34 maintains strong interactions deep inside the pocket, which helps to ensure its stability. Furthermore, 34 has gained strong pi-cation interactions, which pull 34 into the pocket and away from the surface solvent environment. In addition, two of the Nap ring groups and the C6 ester benzene ring stay close to Ala63, stacking with a nonpolar area of the protein and themselves, thus exposing a small nonpolar region to the solvent. This disfavors unbinding and lowers the ligand’s motion to move freely in the middle region of the pocket. Compared to 21 (Figure 6B), due to the presence of the Nap groups, 34 has lost key hydrogen bond interactions (Figure S12).

Figure 8.

Figure 8.

(A) Inhibition of heparanase activity by 2635 using a TR-FRET assay. Data are shown as means ± SEM (n=3). **p<0.01, ***p<0.0005 and ****p<0.0001; (B) interactions between 34 for a representative snapshot at the end of the MD simulation and key residues in the binding pocket; (C) interactions between 29 for a representative snapshot at the end of the MD simulation and key residues in the binding pocket.

Compound 29 maintains strong pi-cation interactions with the binding pocket of heparanase through three naphthalene groups attached to its ring A, B and C (Figure 8C). Hydrogen bonding occupancy is highest with Gln 270 and Arg 272, which makes compound 29 more stable in the binding position. Also, the high bonding occupancy accumulated near ring B makes the binding pose different to compound 21 but more like compounds 30 (Figure 7B) and 34 (Figure 8B). However, the presence of strong pi-cation in combination with hydrophobic interactions introduced with the substituted naphthalene groups make 29 more stable in the binding pocket. The presence of the Nap rings on 31 (IC50 = 1.3 ± 0.45 μM, Figure 8A) makes it significantly less potent than 21 (IC50 = 50 ± 1.2 nM, Figure 6A) without the Nap rings. Compound 31 has few persistent hydrogen bonds with the binding pocket (Figure S4). Its only strong interactions are pi-cation interactions at the binding pocket's edges.

Collectively, the data illustrate that compound 21, bearing the C6-carboxylate on ring A, is the most potent inhibitor of heparanase (IC50 = 50 nM, Figure 6) among the 27 compounds screened. Compound 34 bearing the C6-benzyl ester on ring A (IC50 = 120 nM, Figure 8) is the second most potent heparanase inhibitor. Compound 30 bearing the C6-oleanolic acid on ring A and aromatic Nap groups (IC50 = 170 nM, Figure 7), 22 bearing the C6-aniline amide on ring A (IC50 = 180 nM, Figure 6), and 29 bearing the C6-propargyl group on ring A and aromatic Nap groups (IC50 = 190 nM, Figure 8) are the next group of potent heparanase inhibitors.

One of the critical challenges in developing HS-based therapy is minimizing the off-target activity of HS mimetics with platelet factor-4 (PF4), a naturally occurring chemokine.[32] PF4 forms a complex with heparin and HS. Heparin is known to interact with PF4 to trigger an autoimmune response causing heparin-induced thrombocytopenia (HIT).[20] In Type 1 HIT, a non-immune disorder that results from the direct effect of heparin on platelet activation. In Type 2 HIT, an immune-mediated disorder occurs after five or more days.[33] HIT is a risk factor for life-threatening thrombotic complications,[20] and is the primary reason why many anti-heparanase compounds were suspended or halted at clinical trials.[34]

Accordingly, we evaluated the ability of compounds 21, 22, 27, 29, 30, 31, and 34 to interact with PF4 using a solution-based biolayer interferometry (BLI) competition assay (Figures 9 and S1).8 The most potent anti-heparanase compound 21 exhibited the highest affinity to PF4 (IC50 = 79 ± 1.9 nM). Likewise, the 2-naphthylmethyl (Nap)-containing compound 31 also exhibited a strong PF4 binding (IC50 = 200 ± 2.30 nM). Both 21 and 31 bear the C6-negatively charged carboxylate group on ring A. In contrast, the absence of the C6-carboxylate group on ring A reduces the affinity of other compounds to micromolar concentration compared to compounds 21 and 31 (Figure 9). For instance, compound 30 containing the C6-oleanolic acid and aromatic Nap groups exhibited 4-fold lower affinity to PF4 ( IC50 = 0.68 ± 0.028 μM) than that of 31. The second most potent anti-heparanase C6-benzyl ester 34, binding to PF4 (IC50 = 2.0 ± 0.3 μM), showed nearly 25-fold lower affinity than that of 21. On the other hand, 22 bearing the C6-aniline amide is a potent heparanase inhibitor and has the least affinity to PF4 (IC50 = 4.4 ± 0.36 μM, Figure 9).

Figure 9.

Figure 9.

Interactions of PF4 with 21, 22, 27, 29, 30, 31, and 34 were measured using solution-based biolayer interferometry (BLI) competition assay. Data are shown as means ± SEM (n=3). ****p<0.0001;

Unlike heparanase, PF4 has a very surface level and solvent-exposed binding pocket, primarily stabilized by electrostatic interactions (Figure S13). Compound 22 is bound to an electronegative surface located on a side α helix. Both 21 and 34 bind to the same positions on the highly electronegative surface, while 30 is bound to a location having both electronegative and uncharged residues. Further analyzing the off-target protein, the majority of non-polar residues, including Cys (Figure S13), are located facing inside, while charged residues are located on the surface facing the solvent environment. Towards the end of the MD simulation, the hydrophobic chains of these compounds tend to move towards these nonpolar areas outside of the binding pocket.

Compound 21 forms strong hydrogen bonds and salt bridges with the binding pocket of PF4 (Figure 10A) with high hydrogen bond percent occupancy over time (>60%, Table S9). Compound 34 formed hydrogen bonds with His235 and Arg120 (Figure 10B), which appeared to counteract the unfavorable interaction of hydrophobic Nap rings flipping into the solvent. One Nap ring had strong hydrophobic interactions with Ile151 and was moving towards the hydrophobic area around Val119 (Figure 10B). The MD simulations of 34 appear to be highly dependent on the initial pose and relatively unstable (Figure S15). Overall, 34 is not as stable in the binding pocket as 21, consistent with the experimental data that 34 has a lower affinity to PF4 than 21.

Figure 10.

Figure 10.

Interactions among compounds 21, 34, 30, and 22 bound to PF4 for a representative snapshot at the end of the MD simulation and key active site residues.

Compared to 34, compound 30 has a hydrophobic oleanolic acid substituent oriented along the trisaccharide chain relatively linearly, forming a long nonpolar ‘tail.’ Compound 30 also has a polar amide group instead of the negatively charged carboxylate group of compound 21, which is still accessible towards the charged surface of PF4. The hydrophobic interactions made by the long hydrophobic tail allow the polar amide group to be more exposed to the protein for interactions with Pro334 (Figure 10C). Further, the Nap rings are stabilized by pi-cation interactions formed with Arg 49 and by nearby van der Waals interactions. In addition, the SO3 group forms salt bridge interactions with Lys331 and Lys246, making the binding stronger. Unlike 34, compound 30 maintains these key interactions throughout the simulation. This is consistent with the experimental data that 30 has a 10-fold higher affinity to PF4 than 34.

The binding position of 22 is different from the other ligands tested. At the end of the simulation, 22 essentially slides to the top of PF4 out of the binding pocket and towards the top cysteine residues (Figure 10D). Since this molecule moves so substantially, there is little consistency of hydrogen bond interactions between the simulation's beginning and end (Figure S17). Furthermore, the hydrophilic group exposure of 22 to the solvent in competition with the PF4 surface likely makes the binding unstable. In addition, 22 has a more nonpolar benzamide group compared to compound 21’s carboxylate group at the same C6-position on ring A, making it less attracted to PF4’s charged surface yet able to interact with the solvent. Unlike 34 and 30, with a reduction of steric hindrance due to the absence of the Nap groups, compound 22 formed intramolecular hydrogen bonds, making its conformation more constrained. These data are consistent with the experimental result that 22 has the lowest affinity to PF4 among the compounds screened.

CONCLUSIONS

In summary, we have developed a systematically designed and expedient strategy to obtain a library of 27 oligosaccharides as HS mimetics from commercially available aminoglycosides. We demonstrate that the use of aminoglycoside tobramycin accelerates the synthesis of diverse collections of HS mimetics in 7 – 12 steps from a single trisaccharide intermediate. This approach significantly reduces the number of steps compared to traditional strategy starting from monosaccharide building blocks. The rapid access of the 27-membered HS mimetics enabled us to probe systematically the significant impacts of saccharide structures bearing the carboxylate, amide, oleanolic acid, and the aromatic rings on selective binding to heparanase and off-target platelet factor-4. The semi-synthetic approach, in combination with computational insights, enables us to identify four HS-mimicking molecules 22, 29, 30, and 34 that exhibit strong binding to heparanase but have a low affinity to platelet factor-4. This expedient approach to accessing a library of HS mimetics advances our understanding of HS-heparanase and HS-PF4 interactions and provides a useful tool for developing a novel class of anti-heparanase cancer therapeutics with minimal off-target activity.

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Acknowledgments

This work was supported by the National Institute of General Medical Sciences (R01 GM136968) awarded to HMN. We thank Prof. Jian Liu at the University of North Carolina at Chapel Hill for providing compounds 9 and 10 and Dr. Huy Le for preparing compound 8. We also thank the Wayne State University Grid for computing resources. The Wayne State University Lumigen Center was partially supported by NIH (S10OD028488 for NMR and R01GM098285 for Mass Spect).

Footnotes

Supporting Information and the ORCID identification numbers(s) for the author(s) of this article can be found at https://doi.org/10.1002/anie

Conflict of Interest

The authors declare no competing financial interest.

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