Next Article in Journal
Lytic Polysaccharide Monooxygenase from Talaromyces amestolkiae with an Enigmatic Linker-like Region: The Role of This Enzyme on Cellulose Saccharification
Next Article in Special Issue
Giardia lamblia G6PD::6PGL Fused Protein Inhibitors Decrease Trophozoite Viability: A New Alternative against Giardiasis
Previous Article in Journal
Single-Dose P2 X4R Single-Chain Fragment Variable Antibody Permanently Reverses Chronic Pain in Male Mice
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes

by
Irene Betancourt-Conde
1,
Claudia Avitia-Domínguez
1,*,
Alicia Hernández-Campos
2,
Rafael Castillo
2,
Lilián Yépez-Mulia
3,
Jesús Oria-Hernández
4,
Sara T. Méndez
4,
Erick Sierra-Campos
5,
Mónica Valdez-Solana
5,
Siseth Martínez-Caballero
6,†,
Juan A. Hermoso
6,
Antonio Romo-Mancillas
7 and
Alfredo Téllez-Valencia
1,*
1
Facultad de Medicina y Nutrición, Universidad Juárez del Estado de Durango, Av. Universidad y Fanny Anitúa S/N, Durango 34000, Mexico
2
Departamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
3
Unidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, Unidad Médica de Alta Especialidad-Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico
4
Laboratorio de Bioquímica-Genética, Instituto Nacional de Pediatría, Secretaría de Salud, Mexico City 04530, Mexico
5
Facultad de Ciencias Químicas, Universidad Juárez del Estado de Durango, Av. Artículo 123 S/N Fracc. Filadelfia, Gómez Palacio 35010, Mexico
6
Departamento de Cristalografía y Biología Estructural, Instituto Química-Física Rocasolano, Consejo Superior de Investigaciones Científicas, 28006 Madrid, Spain
7
Laboratorio de Diseño Asistido por Computadora y Síntesis de Fármacos, Facultad de Química, Universidad Autónoma de Querétaro, Querétaro 76010, Mexico
*
Authors to whom correspondence should be addressed.
Current Address: Departamento de Química de Biomacromoléculas, Instituto de Química, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Int. J. Mol. Sci. 2021, 22(24), 13613; https://doi.org/10.3390/ijms222413613
Submission received: 1 December 2021 / Revised: 14 December 2021 / Accepted: 16 December 2021 / Published: 19 December 2021
(This article belongs to the Special Issue Recent Advances: Heterocycles in Drugs and Drug Discovery)

Abstract

:
Leishmaniasis is a disease caused by parasites of the Leishmania genus that affects 98 countries worldwide, 2 million of new cases occur each year and more than 350 million people are at risk. The use of the actual treatments is limited due to toxicity concerns and the apparition of resistance strains. Therefore, there is an urgent necessity to find new drugs for the treatment of this disease. In this context, enzymes from the polyamine biosynthesis pathway, such as arginase, have been considered a good target. In the present work, a chemical library of benzimidazole derivatives was studied performing computational, enzyme kinetics, biological activity, and cytotoxic effect characterization, as well as in silico ADME-Tox predictions, to find new inhibitors for arginase from Leishmania mexicana (LmARG). The results show that the two most potent inhibitors (compounds 1 and 2) have an I50 values of 52 μM and 82 μM, respectively. Moreover, assays with human arginase 1 (HsARG) show that both compounds are selective for LmARG. According to molecular dynamics simulation studies these inhibitors interact with important residues for enzyme catalysis. Biological activity assays demonstrate that both compounds have activity against promastigote and amastigote, and low cytotoxic effect in murine macrophages. Finally, in silico prediction of their ADME-Tox properties suggest that these inhibitors support the characteristics to be considered drug candidates. Altogether, the results reported in our study suggest that the benzimidazole derivatives are an excellent starting point for design new drugs against leishmanisis.

1. Introduction

Leishmaniasis is a neglected tropical disease transmitted by sandfly vector (Phlebotomus or Lutzomyia) via anthroponotic or zoonotic cycles [1]. The three main forms of leishmaniasis include cutaneous (CL), mucosal (MCL) and visceral leishmaniasis (VL) [2]. This disease affects 98 countries, and it is estimated that approximately 2 million of new cases occur each year and more than 350 million people are at risk [3].
The first line treatment against the leishmaniasis consist in sodium stibogluconate (Pentostam) and meglumine antimoniate (Glucantime) [4]. Nevertheless, their use is limited due to their toxicity and the apparition of resistance strains [5]. Pentamidine and Amphotericin B are used as second line drugs, but as well as antimonials, their use is limited due to its toxicity and the parasite resistance [6,7]. Miltefosine is the only existing oral drug to the treatment of leishmaniasis, however, its use has not been satisfactory due to the potential parasite resistance, also it is necessary to continue with its pharmacovigilance [8]. Other proposed topical treatments involve Rifamycin and novel drug-delivery systems that may help the diffusion and the efficacy [9]. Recently, a combined therapy strategy has been used to overcome the resistance in bacteria, nevertheless, this has been poorly tested in leishmaniasis and it must be established for each species of Leishmania [10]. Therefore, it is important to look for new drugs against leishmaniasis.
In this regard, because of their central role in proliferation, differentiation, and antioxidant mechanisms in Leishmania, enzymes for polyamines (PAs) biosynthesis are considered attractive drug targets to develop new drugs against leishmaniasis. Moreover, this pathway is linked with the trypanothione pathway and its enzymes are structurally different from their homologous in human [11,12]. The PAs biosynthesis pathway starts with the synthesis of the precursor L-ornithine, catalyzed by arginase (ARG) through the hydrolysis of L-arginine. Afterwards, ornithine is transformed to putrescine by ornithine decarboxylase. Finally, spermidine synthase converts putrescine in spermidine, which is one of the precursors for trypanothione biosynthesis [12,13,14]. One of the enzymes that has been received a special interest is arginase.
Structurally, arginase from Leishmania mexicana (LmARG) is a homotrimer stabilized by intermolecular ionic interactions and hydrogen bonds. This enzyme belongs to α/β family and is composed by eight-stranded β-sheet flanked on both sides by α-helices. Arginase is a metalloenzyme that requires of two manganese ions for its enzyme activity arrayed as a binuclear Mn+2 center located at the bottom of a ~15 Å-deep active site cleft coordinated in an octahedral arrangement. The catalytic residues are Glu288 which participates in substrate recognition, whilst Asp141 stabilizes the hydroxide ion, and His139 that is a proton shuttle [15].
Despite of their similar folding with the human arginase 1 (HsARG), some differences are shown in the tertiary structure. Three regions change in the LmARG, first, a new helix was found (Gly62-Ser71), which corresponds to a loop in the HsARG. Also, the loop formed by residues Leu161-Cys172, and helix formed by Ile219-Val230 in HsARG (LmARG numeration) shows a different conformation in LmARG. Finally, differences in the intermolecular interactions that stabilize the homotrimer were found [15].
On the other hand, arginase-knockout mutants from L. mexicana, L. amazonensis and L. major demonstrated the importance of this enzyme since its absence made parasites auxotrophic to polyamines [13,16,17]. Actually, there are several arginase inhibitors reported in different Leishmania species, in the case of L. amazonensis (LaARG), [1,2,4]triazolo [1,5-a]pyrimidine derivatives [17], flavanols [18,19], and cinnamide derivatives [20] had been reported, with the best compounds showing a mixed type inhibition and a I50 in the micromolar range. In L. infantum (LiARG), natural phenolic derivatives [21] and chalcone derivatives [22] have been reported as enzyme inhibitors. In LmARG, substrate or transition state analogues inhibited the enzyme [23,24]. Here, the most potent compounds (ABH, BEC and NOHA) inhibited LmARG in a competitive way, with Ki values of 1.3–85 µM, however, they were not selective to LmARG [23]. Furthermore, α,α-disubstituted boronic amino acid inhibitors were capable to inhibit LmARG showing a special type of binding [24].
In this work, we applied a virtual screening strategy from our in-house benzimidazole derivatives chemical library to find new and selective LmARG inhibitors. Kinetic and molecular dynamics characterization studies were performed, as well as their biological activity against the two stages of the parasite and their cytotoxic effect in murine macrophages. Moreover, its selectivity against HsARG and a prediction of their ADME-Tox properties were also made.

2. Results

2.1. Virtual Screening and LmARG Inhibition

With the aim to find new LmARG inhibitors that recognize the active site of the enzyme, we performed a virtual screening, using molecular docking, of our in-house library of 450 benzimidazole derivatives using the crystal structure of LmARG (PDB ID: 4IU0). The ligands were ranked according to their respective docking scores.
The fifty molecules with the highest score were chosen for inhibition studies. According to data, 33 compounds inhibited LmARG in a range of 8–100% at a concentration of 200 μM (Table S1). The ten compounds that induced the highest LmARG inhibition are shown in Table 1. As can be observed, compounds 1 and 2 are the most effective against the enzyme at the evaluated concentration. Nonetheless, some interesting structural activity relationships can be analyzed from these data. The changing of a methylcarbamate in position 2 of the benzimidazole nucleus by an acetyl group, reduce almost 50% the inhibitory potency (compound 1 vs. 4). Additionally, only changing the chloride from position 5 to 6 diminishes the inhibition 60% (compound 1 vs. 8). In the same context, substituting the chloride by a larger and hydrophobic group such as propylthio, has the same effect (compound 1 vs. 9). On the other hand, the change of carboxamide in position 5 by a piperazine group provokes more than 50% lost in potency (compound 2 vs. 6). Additionally, when the size of the R group attached to sulfur, at position 2, is larger and with a greater degree of freedom, the activity decreases 40 or 60% in comparison with a small group (2 vs. 3 and 7).
To continue with kinetic characterization, the concentration that inhibits 50% enzyme activity (I50) was determined for the two most potent compounds (1 and 2). The data show that compounds 1 and 2 have an I50 value of 52 μM and 82 μM, respectively (Figure 1). Both compounds show a cooperative behavior, this fact suggests that more than one molecule are required to inhibit the enzyme [25,26].

2.2. Human Arginase 1 Inhibition

Nowadays, one of the principal concerns in LmARG inhibitors design is their selectivity against human arginase 1 (HsARG) [23,27]. Therefore, the potential inhibitory activity of both compounds against recombinant HsARG was determined. The results show that at the highest concentration possible to be tested (1 mM) none of the compounds inhibit completely the enzyme (Figure 2), whilst 100% inhibition of recombinant LmARG was achieved when compounds 1 and 2 were used five times less concentrated (Table 1 and Figure 1). Therefore, this data demonstrate that compounds 1 and 2 are selective to the enzyme from parasite. As far as we know, this is the first study that reports LmARG selective inhibitors.

2.3. Molecular Dynamics

Once the kinetic studies were caried out, it was important to know how these inhibitors interact with the enzyme. To investigate the binding mode of both compounds in LmARG, molecular dynamics simulations of 30 ns were performed. First, to explore the dynamic stability of systems, Root Mean Square Deviation (RMSD) was analyzed in Apo-LmARG and the complexes (Figure 3). The observed deviation through the simulation time was 0.15 nm approximately, which indicates that the systems were stable throughout the simulation.
Subsequently, the Root Mean-Square Fluctuation (RMSF) between Apo-LmARG, and each LmARG-compound complex was analyzed to visualize local changes along the protein chain (Figure 4). Large variations in some regions were observed, therefore, an ANOVA analysis was realized between Apo-LmARG and both complexes, getting p values of 0.0001 (p < 0.05 significative) in both cases. These results indicate that the binding of the compounds cause the fluctuations observed.
The regions with the highest variations correspond to diverse protein loops. Arginases possess various important loops that participate in the opening of the substrate binding site or enclosing the active site cavity. Therefore, an analysis of the residues that forms those loops in Apo-LmARG and the two complexes was performed. The data show that in both complexes, the loops that participate in the binding of arginine carboxylic acid, as well as the primary amine binding region, were the loops that show less flexibility in the Cα fluctuations (Figure 5). This behavior was like that reported by Mortier et al. 2017, where it was observed, in the comparison of Cα in the RMSF, that there were larger movements with Apo-LmARG than with arginase-ligand complexes, indicating that the arginase binding site is a highly flexible site [27].

2.4. LmARG-Inhibitor Interactions

In order to understand how these inhibitors behaved along MD simulation, a detailed analysis of their interactions was carried out. Compound 1 interacts only in the first 10 ns through a hydrogen bound with Asn143, and at the end of the simulation makes another hydrogen bound with Glu 197. Moreover, there are also Van der Waals interactions with His139, Ala140, Val149, His154, Ala192, Val193, Ile200, Met211, Val259, Leu263, and ionic interactions with Asp137, Asp141, Asp243, Asp245 and His139 (Figure 6a).
On the other hand, compound 2 forms a pi-pi interaction in the first 10 ns between the His154 and the benzimidazole ring, in addition to a hydrogen bond interaction between the Asp141 and the NH of the benzimidazole ring, interestingly, it was maintained during all simulation time. Moreover, there are Van der Waals interactions with His139 and His154, and ionic interactions with His114, Asp137, His139, Asp141, Asp243, Asp245, and Glu288 (Figure 6b).

2.5. Biological Activity Evaluation and Cytotoxicity

To continue the characterization of these inhibitors, an important issue was to investigate their biological activity. Therefore, they were tested for antileishmanial activity against promastigotes and amastigotes from L. mexicana. The results show that both compounds have leishmanicidal activity in the promastigote and in the intracellular amastigote. Compound 1 showed to be more active in both promastigote (IC50 = 64 µM) and amastigote (IC50 = 32 µM) than the Glucantime, nonetheless, it was less active than Amphotericin B and Miltefosine (Table 2). Regarding to cytotoxicity, both compounds have CC50 values >417 µM against murine macrophages J774.2 cell line and a selectivity index (SI) higher than the reference drugs Glucantime, Amphotericin B and Miltefosione. (Table 2).

2.6. In Silico Physichemical and ADME-Tox Predictions

In the first steps of drug design process the Drug-like properties of the studied molecules is an issue of interest. With this in mind, the physicochemical parameters and ADME-Tox properties of compounds 1 and 2 were predicted through an in silico study as described in methodology. The results show that both compounds fulfilled the Lipinski, Veber and Egan rules, suggesting that these molecules have a good oral biodisponibility (Table 3). Moreover, toxicity studies predict that any of these compounds should bind to proteins that have been associated with adverse reactions and toxic effects (Table 3). The oral toxicity prediction shows that compounds 1 and 2 would have a LD50 of 5050 mg/kg and 750 mg/kg, respectively. Furthermore, compound 1 belongs to the toxicity class 6 which indicates that should be safe to use, while compound 2 belongs to the toxicity class 4 which indicates that it could be harmful but only if >2000 mg/kg have been administered. Therefore, both molecules possess Drug-like properties and are likely to have good absorption and eventually do not show any toxic effects.

3. Discussion

This study describes the effect of two benzimidazole derivatives as selective LmArg inhibitors and leishmanicidal agents. These compounds have a common benzimidazole nucleus present in several approved drugs, most of them substituted at position 2 [29] as shown in compounds 1 and 2. Other 2-substituted benzimidazole derivatives have also shown activity as analgesics, anti-inflammatory [30] and antibacterial agents [31]. Furthermore, docking studies showed that 2, 5 (6) substituted benzimidazole derivatives are also molecules with potential as antimicrobial agents [32]. The importance of the substituents in position 2 and 5 in benzimidazole had been also reported [33]. All of the above highlights that these positions are promising for the development of new drugs.
Until now there are few studies about LmARG inhibitors, these compounds are product or transition states analogs, which do not confer selectivity towards the parasite enzyme [24]. On the other hand, in α,α-disubstituted boronic amino acid derivatives were suggested to maintain enzyme affinity while adjusting the intermolecular interactions of the δ chain, however experimental data are not yet available [24]. Nieto et al., 2018, demonstrated the leishmanicidal activity of one benzimidazole derivative, named compound 8, against the promastigotes and amastigotes of L. mexicana (IC50 = 3.25 and 0.26 µM, respectively). In addition, authors evaluated the inhibitory activity of compound 8 against recombinant LmARG using the Quantichom Arginase Activity Assay kit, and determined an I50 of 35.9 µM. Nevertheless, the difference between I50 and IC50 values, many times lower in the parasite, suggested that there are more targets for these molecules in the parasite apart from arginase [34]. To the contrary, this relationship (I50 and IC50 values) in compounds 1 and 2 suggest that arginase could be the principal target in the parasite (Figure 1 and Table 2). Therefore, the strategy of target directed drug design was helpful to obtain molecules with, in principle, more specificity.
Interactions observed in LmARG-inhibitor complex with Asp141, Asn143, and Glu197 have been reported in other LmARG inhibitors, such as nor-NOHA, 2-(S)-amino-6-boronohexanoic acid (ABH), and its derivatives (R)-2-amino-6-borono-2-[2-(piperidin-1-yl)ethyl]hexanoic acid (ABHPE) and (R)-2-amino-6-borono-2-[1-(3,4 dichlorobenzyl)piperidin-4-yl]-hexanoic acid (ABHDP) [15,24]. In particular, the interaction with Asp141 was also found in complexes of LaARG with quercetin, quercitrin and isoquercitrin, where the two hydroxyls in catechol group of the flavonoids formed a hydrogen bond with Asp141 [18]. Moreover, in a study of cinnamide inhibitors evaluated in LaARG, it was observed that some of these inhibitors share Van der Waals interactions with the same residues as compound 1 and 2 (His139, Val149, and His154), as well as electrostatic interactions with Asp245 and Glu288 [20]. Furthermore, several of these Van der Waals interactions were also found with chalcone inhibitors in L. infantum [22].
On the other hand, biological activity and cytotoxicity studies indicated that both LmARG inhibitors had leishmanicidal activity being compound 1 as active as the reference drug Glucantime (32 and 35 µM, respectively) and more selective against the amastigote stage of the parasite than the three reference drugs used for the treatment of leishmaniasis (Table 3). In the same context, several cinnamides derivatives were reported as LaARG inhibitors and tested against L. amazonensis promastigotes, but only caffeic acid phenylamide (CAPA) showed biological activity with an IC50 of 82.56 µM, however, no data over its effect against mammalian cell lines are available [20].
Compounds of synthetic origin such as benzophenone [35] and 5-nitroindazole derivatives have also been reported with leishmanicidal activity against L. infantum, L. braziliensis, and L. donovani and their cytotoxic effect on macrophages was also evaluated [36]. These compounds showed biological activity in the micromolar order and also exhibited selectivity, similar results as those reported in our study. Additionally, several LmARG inhibitors have been reported, nonetheless, assays in parasites only have been done with NOHA and nor-NOHA inhibitors, which showed an EC50 in the millimolar order in promastigotes [23], in comparison with compounds 1 and 2 that act in the micromolar range (Table 2). It is of interest to evaluate in future studies the leishmanicidal activity of compounds 1 and 2 against other Leishmania spp. causative of the other clinical manifestations of leishmaniasis. Altogether, the results reported in our study suggest that the two benzimidazole derivatives are an excellent starting point for design new drugs against leishmanisis.

4. Materials and Methods

4.1. Virtual Screening

The crystal structure of LmARG in complex with inhibitor ABH (PDB ID: 4IU0) [15] was selected from the Protein Data Bank. The protein was prepared using Protein Preparation Wizard tool [37] (Schrödinger Release 2016: Glide, Schrödinger, LLC, New York, NY, USA). All unnecessary ligands and the water molecules were removed except the Mn2+ ions, which are important in enzymatic catalysis. Furthermore, in this module bond orders were assigned, hydrogens were added, and zero-order bonds to metals were created. The structure was minimized with the OPLS2005 forcefield [38,39].
Our in-house chemical library conformed by 450 benzimidazole derivatives was used for molecular docking virtual screening. Compounds were prepared using the module LigPrep (Schrödinger Release 2016: LigPrep, Schrödinger, LLC, New York, NY, USA) to generate low-energy 3D structures with ionization states of pH 7 +/− 0.5 using OPLS2005 forcefield. The docking was made on the active site selecting the manganese atoms of the LmARG as center, with a grid box size of 10 × 10 × 10. Docking studies were performed using Glide in its three modes, Standard Precision, Extra Precision, and Induced Fit Docking (IFD) using default parameters [40,41,42]. The complexes obtained from IFD were used for molecular dynamics simulation studies.

4.2. Cloning of L. mexicana Arginase Gene

The gen ARG that encodes for arginase from L. mexicana (LmARG) was amplified using the following oligonucleotides 5′-GCCATATGGAGCACGTGCAGCAGTACAAGTTCTAC-3′ (forward) and 5′-GC-GGATCCCTATAGCTTGGAGCTCGTATGCGGAGTGTA-3′ (reverse). Restriction sites for NdeI and BamHI were introduced in the forward and reverse oligonucleotides, respectively. The PCR product was cloned using PCR BLUNT II® TOPO® vector (Invitrogen, Carlsbad, CA, USA), and then was subcloned into pET28a(+). The resulting plasmid was transformed in E. coli BL21(DE3)pLysS competent cells (Novagen, Madison, WI, USA).

4.3. Cloning of Human Arginase 1 Gene

The gen ARG1 that encodes for arginase 1 from human (HsARG) was amplified from HepG2 cells RNA [HEPG2] (ATCC® HB-8065™) by RT-PCR using oligonucleotides 5′GCCATATGAGCGCCAAGTCCAG-3′ (forward) and 5′-GGGTGGATTCATTCCTAGGCG-3′ (reverse). Restriction sites for NdeI and BamHI were introduced in the forward and reverse oligonucleotides, respectively. The PCR product was cloned into pJET® plasmid and then was subcloned into pETHISTEV [43]. The resulting vector was transformed in E. coli BL21(DE3)pLysS competent cells (Novagen, Madison, WI, USA).

4.4. Expression and Purification of Arginases

Bacteria transformed with recombinant plasmid were grown in Luria-Bertani medium containing 50 µg/mL kanamycin (LmARG) or 50 µg/mL ampicillin (HsARG1) at 37 °C. Once the cultures reached an OD600 nm of 0.8, isopropyl β-D-thiogalactopyranoside (IPTG) was added (1 mM) to induce overexpression and incubated overnight. Thereafter, cells were harvested by centrifugation at 5000 rpm during 30 min. The cells were resuspended in buffer A (50 mM potassium phosphate (pH 7.0), 300 mM NaCl, 10% (v/v) glycerol) supplemented with the protease inhibitor PMSF (200 µM) and then lysed by sonication. The lysate was centrifuged at 12,000 rpm for 30 min. LmARG and HsARG were purified through affinity chromatography, the supernatant was loaded into a column with Ni-NTA resin pre-equilibrated in buffer A. The column was washed with buffer A supplemented with an imidazole gradient of 50, 150, and 300 mM. Both enzymes eluted in imidazole 300 mM. Protein concentrations were determined by the Bradford method [44].

4.5. Enzyme Activity

The activity of the recombinant arginases was measured in a colorimetric assay with some modifications [45]. Briefly, the enzyme (2 µg) was previously activated with 1 mM MnCl2, 100 mM Tris-HCl, pH 8 during 15 min at 37 °C. Thereafter, 50 mM L-arginine was added, and the reaction was stopped after 10 min using 30 µL of an acid mixture (H2SO4, H3PO4 and H2O [1:3:7]), and 20 µL of 245 mM of α-isonitrosopropiophenone (dissolved in ethanol). Samples were heated in a thermocycler at 95 °C for 1 h. The urea in the samples was measured at 550 nm in a Synergy H1 Hybrid Multi-Mode Microplate Reader (BioTek).

4.6. Inhibition Assays

The fifty molecules with the highest docking score were selected for inhibition studies that were made under the conditions mentioned above, adding the respective compound (dissolved in DMSO) at a concentration of 200 µM, keeping a final 10% DMSO concentration. The concentration that inhibits 50% of the enzyme activity (I50) was determined through curves at different compound concentrations. The I50 was obtained fitting the curves to the equation reported by Téllez-Valencia, et al., 2002 [25].

4.7. Molecular Dynamics

Molecular dynamics simulations with the following systems, Apo-LmARG, LmARG-compound-1, and LmARG-compound-2 were performed using Desmond software [46] (Schrödinger Release 2016: Desmond Molecular Dynamics System, D. E. Shaw Research, New York, NY, 2016. Maestro-Desmond Interoperability Tools, Schrödinger, New York, NY, USA). The complexes were centered in an orthorhombic box and filed with an explicit solvent using the TIP4PEW model of water. The systems were neutralized with counter ions of Na+ to balance the net charges of the systems. Minimization and equilibration were simulated using the default parameters. The simulation was performed during 30 ns and the data were collected every 100 ps. The pressure was maintained at 1 atmosphere and temperature at 300 K, using an NPT ensemble.

4.8. In Silico ADME-Tox Prediction

FAFDrugs4 [47] and ADMET-SAR [48] servers were used to predict ADME-Tox properties of compounds whilst ProTox [49] server was used for prediction of toxicities. Some of descriptors determined were molecular weight (MW), logarithm of the partition coefficient n-octanol/water (logP), octanol water distribution coefficient (logD), intrinsic water solubility (logSw), topological polar surface area (tPSA), rotable bonds (RB), hydrogen bond donors (HBD), hydrogen bond acceptors (HBA), Lipinski´s rules violations, Veber Rules, Egan Rules, Predicted LD50, Predicted toxicity class, and Toxicity targets.

4.9. Biological Activity against Leishmania mexicana Promastigotes

Promastigotes of L. mexicana (MNYC/BZ/62/M379 reference strain) were grown in Schneider’s medium supplemented with fetal bovine serum 10% (v/v), ampicillin (100 U/mL)/streptomycin (100 µg/mL). Parasites were collected at log phase to assess the compounds and 5 × 105 promastigotes were seeded in a 96-wells plate. Compounds were previously dissolved in dimethyl sulfoxide (DMSO) up to a concentration of 1 mg/mL. Thereafter, serial dilutions were made with culture medium from 100 µg/mL to 0.8 µg/mL and then they were added to the wells by triplicates. Parasites non treated and treated with Glucantime, Amphotericin B and Miltefosine were included as positive and negative controls, respectively. Parasites were incubated at 26 °C during 48 h and resazurin 2.5 mM was added at the end into each well. Afterwards, fluorescence intensity was measured with excitation/emission 535/590 nm in a spectrofluorometer (Infinite 200, Tecan Group Ltd., Mannedorf, Switzerland). Finally, half maximal inhibitory concentration (IC50) was determined through a Probit analysis [50]. The assays were made by triplicate in 3 independent experiments.

4.10. Biological Activity against Leishmania mexicana Amastigotes

Biological activity of the benzimidazole derivatives was also evaluated against the amastigote of L. mexicana. For this, 5 × 104 murine macrophages J774.2 (ATCC® TIB-67) per well were grown in a plate of 96 wells with RPMI medium at 33 °C, 5% CO2 during 24 h. The cells were infected with promastigotes in log phase in a 10:1 proportion (parasite: macrophage) and they were incubated at 37 °C, 5% CO2 during 24–48 h. A wash with RPMI medium to remove the not-infected promastigotes was made. Compounds were added in a serial dilution from 100 µg to 0.8 µg/mL in triplicate and were incubated at 37 °C, 5% CO2 for 48 h. Glucantime, Amphotericin B and Miltefosine were used as reference drugs. Then, the cells were lysed with a non-complemented Schneider’s medium lysis solution with SDS 0.01%, after incubating for 20 min the lysis solution was removed. Afterwards, Schneider medium was added incubating at 26 °C during four days at room temperature to differentiate intracellular amastigotes from free amastigotes. Thereafter, 20 µL of resazurin 2.5 mM was added to each well and incubated during 3 h. Fluorescence intensity and IC50 were measured as described for promastigotes. The assays were made by triplicate in 3 independent experiments.

4.11. Cytotoxicity Assays

Murine macrophages J774.2 (ATCC® TIB-67) (5 × 104 cells/well) were grown in plates of 96 wells for 24 h at 37 °C in 5% CO2. Thereafter, compounds were added in serial diluted concentrations (100 to 0.8 µg/mL) and they were incubated during 24 h. The cellular vitality was evaluated using resazurin, adding 20 µL to each well at 2.5 mM incubating 4 h. Finally, the cytotoxic concentration (CC50) was determined through a Probit analysis [50]. The assays were made by triplicate in 3 independent experiments. CC50 values of Amphotericin B, Miltefosine and Glucantime were taken from a previous study [28] performed under the same conditions by our research group.

4.12. Synthesis of Benzimidazole Derivatives

Compounds 1, 8, and 9 were prepared from the properly substituted o-phenylenediamines, according to methods reported for our group [51,52,53]. Briefly, compounds 1113 were treated with 1.2 equivalents of 1,3-dicarbomethoxy-S-methylisothiourea in MeOH/H2O at pH 5 at reflux point to give a solid which was recrystallized from methanol with activated charcoal. Scheme 1.
Methyl (5-chloro-1-methyl-1H-benzimidazol-2-yl)carbamate (1). Yield 85%. Recrystallized from ethanol with charcoal. mp. 203.0–203.8 °C. 1H NMR (Acetone-d6; 300 MHz) δ: 3.04 (s, 3H, NCH3), 3.17 (s, 3H, OCH3), 6.77 (dd,1H, J = 8.4 Hz, J = 1.8 Hz, H-6), 6.94–6.98 (m, 2H, H-4, H-7), 11.65 (s, 1H, NH). MS MS (EI+): m/z 239 [M]+.
Methyl (6-chloro-1-methyl-1H-benzimidazol-2-yl)carbamate (8). Yield 80%. Recrystallized from ethanol/H2O with charcoal. mp. 191.3–192.4 °C. 1H NMR (CDCl3; 300 MHz) δ: 3.72 (s, 3H, NCH3), 3.82 (s, 3H, OCH3), 7.25–7.34 (m, 3H, H-4, H-5, H-7), 9.91 (d, 1H, NH). MS (EI+): m/z 239 [M]+.
Methyl (1-methyl-5-(propylthio)-1H-benzimidazol-2-yl)carbamate (9). Yield 80%. Recrystallized from methanol with charcoal. mp. 120.5–122.1 °C. 1H NMR (DMSO-d6; 300 MHz) δ: 0.93 (t, 3H, J = 7.5 Hz, CH3CH2CH2S-), 1.53 (m, J = 7.5 Hz, 2H, CH3CH2CH2S-), 2.85 (t, 2H, J = 6.9 Hz, CH3CH2CH2S-), 3.46 (s, 3H, NCH3), 3.60 (s, 3H. OCH3), 7.19 (dd, 1H, J = 8.4 Hz, J = 1.5 Hz, H-6), 7.32 (d, 1H, J = 8.1 Hz, H-7), 7.42 (s, 1H, H-1), 11.98 (s, 1H, NH). 13C NMR (DMSO-d6; 75 MHz) δ: 13.01, 21.99, 28.03, 36.16,51.72, 109.64, 112.78, 124.35, 128.71, 129.21, 129.59,153.5, 162.51. MS (FAB+): m/z 280 [M+H] +.
Compounds 2, 3, 6, and 7 were prepared from the properly substituted 1H-benzimidazole-2-thioles 14, 15, and 16, which were synthesized according to procedures reported by our group [52,54,55,56]. The synthetic methodology is resumed in Scheme 2.
Compound 2 was obtained from 15 by a series of four steps: S-methylation with methyl iodide, basic hydrolysis of the ester group, acyl chloride preparation with SOCl2 and DMF in catalytic quantities, and finally, the carboxamide synthesis by treatment with ammonia freshly generated in acetonitrile at room temperature [55].
Compound 6 was obtained from 14 by an S-methylation reaction with methyl iodide, according to our reports, and subsequent acid hydrolysis of the acetyl protecting group [52,56].
Compound 3 was obtained from 16, initially, this was converted in the 2-((2-oxoethyl)thio)derivative by reaction with bromoacetaldehyde diethyl acetal followed by acid hydrolysis (HCl in dioxane); then, the aldehyde was reacted with semicarbazide hydrochloride in ethanol and a base at room temperature [57]. The product was purified by recrystallization.
Compound 7 was prepared by a sequence of three reactions: preparation of 2-((2-((tert-butoxycarbonyl)amino)ethyl)thio derivative by treatment 16 with tert-butyl (2-bromoethyl)carbamate in acetone in a basic medium; then, the Boc protecting group was removed by hydrolysis with HCl in dioxane; finally, the free amine was treated with 1H-pyrazole-1-carboxamidine hydrochloride in acetonitrile and triethylamine at 60 °C to give 7 [58].
6-Chloro-2-(methylthio)-1H-benzimidazole-5-carboxamide (2) Yield 21%, column chromatography (Al2O3, EtOH:MeOH, 1:1). mp 238.8–240.4 °C. 1H NMR (DMSO-d6; 400 MHz) δ: 2.7 (s, 3H, SCH3), 7.47(s, 1H, CONH2), 7.49 (s, 1H, H-4), 7.51 (s, 1H, H-7), 7.78 (s, 1H, CONH2), 12.83 (s, 1H, NH). 13C NMR (DMSO-d6; 100 MHz) δ: 13.8, 122.9, 130.1, 154.4, 168.7. MS (DART+) m/z: 242 [M+H]+. HRMS (DART+) cal. [C9H8ClN3OS +H] 242.01549, found 242.01566
6-Chloro-2-(methylthio)-5-(piperazin-1-yl)-1H-benzimidazole (6). Yield 42%. Purified by precipitation from ethanol/HCl gas. mp 235–237 °C. 1H NMR (DMSO-d6; 300 MHz) δ: 2.50 (s, 3H, SCH3), 3.17–3.25 (m, 8H, piperazine), 7.32 (s, 1H, H-4), 7.69 (s, 1H, H-7), 9.42 (b, 2H, NH). 13C NMR (DMSO-d6; 75 MHz) δ: 14.57, 43.13, 48.47, 105.09, 114.73, 124.33, 132.23, 134.64, 144.45, 153.10. MS (EI+) m/z: 282 [M]+.
Methyl 2-((2-(2-carbamoylhydrazineylidene)ethyl)thio)-5-chloro-1-methyl-1H-benzimidazole-6-carboxylate (3). Overall yield 8.37% Recrystallized from isopropyl alcohol. mp 196.7–197.1 °C. 1H NMR (DMSO-d6; 300 MHz) δ: 3.72 (s, H, NCH3), 3.86 (s, 3H, CH3O), 4.13 (d, 2H, J = 4.7 Hz, SCH2CHN), 6.21 (sb, NH), 7.34 (t, 1H, 4.6, SCH2CHN),7.81 (s, 1H, H-4), 7.98 (s, 1H, H-7), 10.07 (b, 1H, NH). 13C NMR (DMSO-d6; 75 MHz) δ: 30.76, 33.7, 52.78, 112.30, 120.32, 123.27, 125.65, 137.49, 139.86, 141.33, 154.95, 156.80, 166.15. MS (ESI+): m/z 378 [M+Na]+.
Methyl 5-chloro-2-((2-guanidinoethyl)thio)-1-methyl-1H-benzimidazole-6-carboxylate (7). Overall yield 37%. Recrystallized from methanol. mp 172.9–173.4 °C. 1H NMR (DMSO-d6; 400 MHz) δ: 3.50–3.44 (m, 4H, SCH2CH2NH), 3.69 (s, 3H, NCH3), 3.85 (s, 3H, CH3O), 7.79 (s, 1H, H-4), 7.29 (sb, 2H, NH2), 7.54 (sb,1H, NH), 7.98 (s, 1H, H-7), 8.19 (sb, 1H, NH). 13C NMR (DMSO-d6; 100 MHz) δ: 30.4, 30.8, 40.5, 52.3, 112.2, 120.4, 123.2, 125.8, 139.0, 141.2, 155.7, 157.5, 166.4. MS (ESI+): m/z 342 [M+H]+.
On the other hand, the synthesis of compounds 4, 5, and 10 have already been reported by our group [59].

4.13. Statistical Analysis

Analysis of the MD data, specifically RMSF, was carried out by an ANOVA test using SPSS v15.0 software. Differences between data were considered statistically significant when a p-value < 0.05.

5. Conclusions

Two novel benzimidazole derivatives (compounds 1 and 2) were discovered through virtual screening as the first selective LmARG inhibitors. Moreover, showed activity against the promastigote and amastigote stage of L. mexicana in the micromolar range. Compound 1 showed a higher Selectivity Index against the parasite amastigote than the reference drugs. Furthermore, the in silico prediction of their ADME-Tox properties suggested that both inhibitors supports the structural characteristics to be considered drug candidates. Therefore, the compounds reported here provides a starting point to develop more powerful and selective LmARG inhibitors to continue in the search of new drugs against leishmaniasis.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ijms222413613/s1.

Author Contributions

Conceptualization, C.A.-D. and A.T.-V.; methodology, I.B.-C., A.H.-C., R.C., L.Y.-M., J.O.-H., S.T.M., E.S.-C., A.R.-M., S.M.-C., C.A.-D. and A.T.-V.; formal analysis I.B.-C., A.H.-C., R.C., L.Y.-M., E.S.-C., M.V.-S. and J.A.H.; writing—original draft preparation, I.B.-C.; writing—review and editing, C.A.-D., A.H.-C., R.C., L.Y.-M., J.O.-H., E.S.-C., M.V.-S., J.A.H., A.R.-M.; and A.T.-V.; funding acquisition, J.A.H.; A.T.-V. and C.A.-D. All authors have read and agreed to the published version of the manuscripts.

Funding

This research was funded by the Consejo Nacional de Ciencia y Tecnología (CONACyT), grants 257848 (A.T.-V.) and 258694 (C.A.-D.). The work in Spain was funded by a grant from the Spanish Ministry of Science, Innovation and Competitiveness PID2020-115331GB-100 to J.A.-H.

Acknowledgments

I.B.-C. acknowledge Consejo Nacional de Ciencia y Tecnología (CONACyT) for the Ph.D. fellowship granted. (No. 521238).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Reithinger, R.; Dujardin, J.C. Molecular Diagnosis of Leishmaniasis: Current Status and Future Applications. J. Clin. Microbiol. 2007, 45, 21–25. [Google Scholar] [CrossRef] [Green Version]
  2. Schriefer, A.; Wilson, M.E.; Carvalho, E.M. Recent Developments Leading toward a Paradigm Switch in the Diagnostic and Therapeutic Approach to Human Leishmaniasis. Curr. Opin. Infect. Dis. 2008, 21, 483–488. [Google Scholar] [CrossRef]
  3. World Health Organization Leishmaniasis. Available online: https://www.who.int/news-room/fact-sheets/detail/leishmaniasis (accessed on 9 February 2021).
  4. Croft, S.L.; Olliaro, P. Leishmaniasis Chemotherapy-Challenges and Opportunities. Clin. Microbiol. Infect. 2011, 17, 1478–1483. [Google Scholar] [CrossRef] [Green Version]
  5. Mohapatra, S. Drug Resistance in Leishmaniasis: Newer Developments. Trop. Parasitol. 2014, 4, 4–9. [Google Scholar] [CrossRef] [Green Version]
  6. Bray, P.G.; Barrett, M.P.; Ward, S.A.; de Koning, H.P. Pentamidine Uptake and Resistance in Pathogenic Protozoa: Past, Present and Future. Trends Parasitol. 2003, 19, 232–239. [Google Scholar] [CrossRef]
  7. Ghorbani, M.; Farhoudi, R. Leishmaniasis in Humans: Drug or Vaccine Therapy? Drug Des. Dev. Ther. 2018, 12, 25–40. [Google Scholar] [CrossRef] [Green Version]
  8. Rijal, S.; Ostyn, B.; Uranw, S.; Rai, K.; Bhattarai, N.R.; Dorlo, T.P.C.; Beijnen, J.H.; Vanaerschot, M.; Decuypere, S.; Dhakal, S.S.; et al. Increasing Failure of Miltefosine in the Treatment of Kala-Azar in Nepal and the Potential Role of Parasite Drug Resistance, Reinfection, or Noncompliance. Clin. Infect. Dis. 2013, 56, 1530–1538. [Google Scholar] [CrossRef] [Green Version]
  9. Lodi, G.; Sannino, M.; Caterino, P.; Cannarozzo, G.; Bennardo, L.; Nisticò, S.P. Fractional CO2 Laser-Assisted Topical Rifamycin Drug Delivery in the Treatment of Pediatric Cutaneous Leishmaniasis. Pediatric Dermatol. 2021, 38, 1–4. [Google Scholar] [CrossRef]
  10. Ponte-sucre, A.; Gamarro, F.; Dujardin, J.; Barrett, M.P.; Garcı, R.; Pountain, A.W.; Mwenechanya, R.; Papadopoulou, B. Drug Resistance and Treatment Failure in Leishmaniasis: A 21st Century Challenge. PLoS Negl. Trop. Dis. 2017, 11, 1–24. [Google Scholar] [CrossRef]
  11. Heby, O.; Persson, L.; Rentala, M. Targeting the Polyamine Biosynthetic Enzymes: A Promising Approach to Therapy of African Sleeping Sickness, Chagas’ Disease, and Leishmaniasis. Amino Acids 2007, 33, 359–366. [Google Scholar] [CrossRef]
  12. Ilari, A.; Fiorillo, A.; Genovese, I.; Colotti, G. Polyamine-Trypanothione Pathway:An Update. Future Med. Chem. 2017, 9, 61–77. [Google Scholar] [CrossRef]
  13. Reguera, R.M.; Balaña-Fouce, R.; Showalter, M.; Hickerson, S.; Beverley, S.M. Leishmania Major Lacking Arginase (ARG) Are Auxotrophic for Polyamines but Retain Infectivity to Susceptible BALB/c Mice. Mol. Biochem. Parasitol. 2009, 165, 48–56. [Google Scholar] [CrossRef] [Green Version]
  14. Colotti, G.; Ilari, A. Polyamine Metabolism in Leishmania: From Arginine to Trypanothione. Amino Acids 2011, 40, 269–285. [Google Scholar] [CrossRef] [PubMed]
  15. D’Antonio, E.L.; Ullman, B.; Roberts, S.C.; Dixit, U.G.; Wilson, M.E.; Hai, Y.; Christianson, D.W. Crystal Structure of Arginase from Leishmania Mexicana and Implications for the Inhibition of Polyamine Biosynthesis in Parasitic Infections. Arch. Biochem. Biophys. 2013, 535, 163–176. [Google Scholar] [CrossRef] [Green Version]
  16. Roberts, S.C.; Tancer, M.J.; Polinsky, M.R.; Michael Gibson, K.; Heby, O.; Ullman, B. Arginase Plays a Pivotal Role in Polyamine Precursor Metabolism in Leishmania: Characterization of Gene Deletion Mutants. J. Biol. Chem. 2004, 279, 23668–23678. [Google Scholar] [CrossRef] [Green Version]
  17. da Silva, E.R.; Boechat, N.; Pinheiro, L.C.S.; Bastos, M.M.; Costa, C.C.P.; Bartholomeu, J.C.; da Costa, T.H. Novel Selective Inhibitor of Leishmania (Leishmania) Amazonensis Arginase. Chem. Biol. Drug Des. 2015, 86, 969–978. [Google Scholar] [CrossRef]
  18. da Silva, E.R.; Maquiaveli, C.d.C.; Magalhães, P.P. The Leishmanicidal Flavonols Quercetin and Quercitrin Target Leishmania (Leishmania) Amazonensis Arginase. Exp. Parasitol. 2012, 130, 183–188. [Google Scholar] [CrossRef]
  19. dos Reis, M.B.G.; Manjolin, L.C.; Maquiaveli, C.D.C.; Santos-Filho, O.A.; da Silva, E.R. Inhibition of Leishmania (Leishmania) Amazonensis and Rat Arginases by Green Tea EGCG, (+)-Catechin and (−)-Epicatechin: A Comparative Structural Analysis of Enzyme-Inhibitor Interactions. PLoS ONE 2013, 8, e78387. [Google Scholar]
  20. da Silva, E.R.; Come, J.A.A.D.S.S.; Brogi, S.; Calderone, V.; Chemi, G.; Campiani, G.; Oliveira, T.M.F.D.S.; Pham, T.N.; Pudlo, M.; Girard, C.; et al. Cinnamides Target Leishmania Amazonensis Arginase Selectively. Molecules 2020, 25, 5271. [Google Scholar] [CrossRef]
  21. Garcia, A.R.; Oliveira, D.M.P.; Claudia, F.; Amaral, A.; Jesus, J.B.; Rennó Sodero, A.C.; Souza, A.M.T.; Supuran, C.T.; Vermelho, A.B.; Rodrigues, I.A.; et al. Leishmania Infantum Arginase: Biochemical Characterization and Inhibition by Naturally Occurring Phenolic Substances. J. Enzym. Inhib. Med. Chem. 2019, 34, 1100–1109. [Google Scholar] [CrossRef] [Green Version]
  22. Garcia, A.R.; Oliveira, D.M.P.; Jesus, J.B.; Souza, A.M.T.; Sodero, A.C.R.; Vermelho, A.B.; Leal, I.C.R.; Souza, R.O.M.A.; Miranda, L.S.M.; Pinheiro, A.S.; et al. Identification of Chalcone Derivatives as Inhibitors of Leishmania Infantum Arginase and Promising Antileishmanial Agents. Front. Chem. 2021, 8, 624678. [Google Scholar] [CrossRef]
  23. Riley, E.; Roberts, S.C.; Ullman, B. Inhibition Profile of Leishmania Mexicana Arginase Reveals Differences with Human Arginase I. Int. J. Parasitol. 2011, 41, 545–552. [Google Scholar] [CrossRef] [Green Version]
  24. Hai, Y.; Christianson, D.W. Crystal Structures of Leishmania Mexicana Arginase Complexed with α,α-Disubstituted Boronic Amino-Acid Inhibitors. Acta Crystallogr. Sect. F Struct. Biol. Commun. 2016, 72, 300–306. [Google Scholar] [CrossRef]
  25. Tellez-Valencia, A.; Avila-Ríos, S.A.; Perez-Montfort, R.; Rodríguez-Romero, A.; Tuena de Gomez-Puyou, M.; Lopez-Calahorra, F.; Gomez-Puyou, A. Highly Specific Inactivation of Triosephosphate Isomerase from Trypanosoma Cruzi. Biochem. Biophys. Res. Commun. 2002, 295, 958–963. [Google Scholar] [CrossRef]
  26. Vázquez-Raygoza, A.; Cano-González, L.; Velázquez-Martínez, I.; Trejo-Soto, P.J.; Castillo, R.; Hernández-Campos, A.; Hernández-Luis, F.; Oria-Hernández, J.; Castillo-Villanueva, A.; Avitia-Domínguez, C.; et al. Species-Specific Inactivation of Triosephosphate Isomerase from Trypanosoma Brucei: Kinetic and Molecular Dynamics Studies. Molecules 2017, 22, 2055. [Google Scholar] [CrossRef] [Green Version]
  27. Mortier, J.; Prévost, J.R.C.; Sydow, D.; Teuchert, S.; Omieczynski, C.; Bermudez, M.; Frédérick, R.; Wolber, G. Arginase Structure and Inhibition: Catalytic Site Plasticity Reveals New Modulation Possibilities. Sci. Rep. 2017, 7, 13616. [Google Scholar] [CrossRef] [Green Version]
  28. Matadamas-Martínez, F.; Hernández-Campos, A.; Téllez-Valencia, A.; Vázquez-Raygoza, A.; Comparán-Alarcón, S.; Yépez-Mulia, L.; Castillo, R. Leishmania Mexicana Trypanothione Reductase Inhibitors: Computational and Biological Studies. Molecules 2019, 24, 3216. [Google Scholar] [CrossRef] [Green Version]
  29. Vitaku, E.; Smith, D.T.; Njardarson, J.T. Analysis of the Structural Diversity, Substitution Patterns, and Frequency of Nitrogen Heterocycles among U.S. FDA Approved Pharmaceuticals. J. Med. Chem. 2014, 57, 10257–10274. [Google Scholar] [CrossRef]
  30. Mariappan, G.; Hazarika, R.; Alam, F.; Karki, R.; Patangia, U.; Nath, S. Synthesis and Biological Evaluation of 2-Substituted Benzimidazole Derivatives. Arab. J. Chem. 2015, 8, 715–719. [Google Scholar] [CrossRef] [Green Version]
  31. Chintakunta, R.; Meka, G. Synthesis, in Silico Studies and Antibacterial Activity of Some Novel 2-Substituted Benzimidazole Derivatives. Future J. Pharm. Sci. 2020, 6, 10921–10945. [Google Scholar] [CrossRef]
  32. Aroso, R.T.; Guedes, R.C.; Pereira, M.M. Synthesis of Computationally Designed 2,5(6)-Benzimidazole Derivatives via Pd-Catalyzed Reactions for Potential E. Coli DNA Gyrase B Inhibition. Molecules 2021, 26, 1326. [Google Scholar] [CrossRef] [PubMed]
  33. Shah, K.; Chhabra, S.; Shrivastava, S.K.; Mishra, P. Benzimidazole: A Promising Pharmacophore. Med. Chem. Res. 2013, 22, 5077–5104. [Google Scholar] [CrossRef]
  34. Nieto-Meneses, R.; Castillo, R.; Hernández-Campos, A.; Maldonado-Rangel, A.; Matius-Ruiz, J.B.; Trejo-Soto, P.J.; Nogueda-Torres, B.; Dea-Ayuela, M.A.; Bolás-Fernández, F.; Méndez-Cuesta, C.; et al. In Vitro Activity of New N-Benzyl-1H-Benzimidazol-2-Amine Derivatives against Cutaneous, Mucocutaneous and Visceral Leishmania Species. Exp. Parasitol. 2018, 184, 82–89. [Google Scholar] [CrossRef]
  35. de Almeida, L.; Alves, K.F.; Maciel-Rezende, C.M.; Jesus, L.D.O.P.; Pires, F.R.; Junior, C.V.; Izidoro, M.A.; Júdice, W.A.D.S.; dos Santos, M.H.; Marques, M.J. Benzophenone Derivatives as Cysteine Protease Inhibitors and Biological Activity against Leishmania (L.) Amazonensis Amastigotes. Biomed. Pharmacother. 2015, 75, 93–99. [Google Scholar] [CrossRef]
  36. Martín-Montes, Á.; Aguilera-Venegas, B.; Ma Morales-Martín, R.; Martín-Escolano, R.; Zamora-Ledesma, S.; Marín, C.; Arán, V.J.; Sánchez-Moreno, M. In Vitro Assessment of 3-Alkoxy-5-Nitroindazole-Derived Ethylamines and Related Compounds as Potential Antileishmanial Drugs. Bioorganic Chem. 2019, 92, 103274. [Google Scholar] [CrossRef] [PubMed]
  37. Madhavi Sastry, G.; Adzhigirey, M.; Day, T.; Annabhimoju, R.; Sherman, W. Protein and Ligand Preparation: Parameters, Protocols, and Influence on Virtual Screening Enrichments. J. Comput. Aided Mol. Des. 2013, 27, 221–234. [Google Scholar] [CrossRef]
  38. Shivakumar, D.; Williams, J.; Wu, Y.; Damm, W.; Shelley, J.; Sherman, W. Prediction of Absolute Solvation Free Energies Using Molecular Dynamics Free Energy Perturbation and the Opls Force Field. J. Chem. Theory Comput. 2010, 6, 1509–1519. [Google Scholar] [CrossRef] [PubMed]
  39. Jorgensen, W.L.; Maxwell, D.S.; Tirado-Rives, J. Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids. J. Am. Chem. Soc. 1996, 118, 11225–11236. [Google Scholar] [CrossRef]
  40. Friesner, R.A.; Murphy, R.B.; Repasky, M.P.; Frye, L.L.; Greenwood, J.R.; Halgren, T.A.; Sanschagrin, P.C.; Mainz, D.T. Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein-Ligand Complexes. J. Med. Chem. 2006, 49, 6177–6196. [Google Scholar] [CrossRef] [Green Version]
  41. Halgren, T.A.; Murphy, R.B.; Friesner, R.A.; Beard, H.S.; Frye, L.L.; Pollard, W.T.; Banks, J.L. Glide: A New Approach for Rapid, Accurate Docking and Scoring. 2. Enrichment Factors in Database Screening. J. Med. Chem. 2004, 47, 1750–1759. [Google Scholar] [CrossRef]
  42. Friesner, R.A.; Banks, J.L.; Murphy, R.B.; Halgren, T.A.; Klicic, J.J.; Mainz, D.T.; Repasky, M.P.; Knoll, E.H.; Shelley, M.; Perry, J.K.; et al. Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy. J. Med. Chem. 2004, 47, 1739–1749. [Google Scholar] [CrossRef] [PubMed]
  43. Hernández-Alcántara, G.; Torres-Larios, A.; Enríquez-Flores, S.; García-Torres, I.; Castillo-Villanueva, A.; Méndez, S.T.; de la Mora-de la Mora, I.; Gómez-Manzo, S.; Torres-Arroyo, A.; López-Velázquez, G.; et al. Structural and Functional Perturbation of Giardia Lamblia Triosephosphate Isomerase by Modification of a Non-Catalytic, Non-Conserved Region. PLoS ONE 2013, 8, e69031. [Google Scholar] [CrossRef]
  44. Bradford, M.M. A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding. Anal. Biochem. 1976, 72, 248–254. [Google Scholar] [CrossRef]
  45. Corraliza, I.M.; Campo, M.L.; Soler, G.; Modolell, M. Determination of Arginase Activity in Macrophages: A Micromethod. J. Immunol. Methods 1994, 174, 231–235. [Google Scholar] [CrossRef]
  46. Bowers, K.J.; Chow, D.E.; Xu, H.; Dror, R.O.; Eastwood, M.P.; Gregersen, B.A.; Klepeis, J.L.; Kolossvary, I.; Moraes, M.A.; Sacerdoti, F.D.; et al. Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters. In Proceedings of the SC ’06: 2006 ACM/IEEE Conference on Supercomputing, Tampa, FL, USA, 11–17 November 2006; p. 43. [Google Scholar]
  47. Lagorce, D.; Bouslama, L.; Becot, J.; Miteva, M.A.; Villoutreix, B.O. FAF-Drugs4: Free ADME-Tox Filtering Compu-Tations for Chemical Biology and Early Stages Drug Discovery. Bioinformatics 2017, 33, 3658–3660. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Cheng, F.; Li, W.; Zhou, Y.; Shen, J.; Wu, Z.; Liu, G.; Lee, P.W.; Tang, Y. AdmetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties. J. Chem. Inf. Modeling 2012, 52, 3099–3105. [Google Scholar] [CrossRef] [PubMed]
  49. Drwal, M.N.; Banerjee, P.; Dunkel, M.; Wettig, M.R.; Preissner, R. ProTox: A Web Server for the in Silico Prediction of Rodent Oral Toxicity. Nucleic Acids Res. 2014, 42, 53–58. [Google Scholar] [CrossRef] [Green Version]
  50. Pum, J. A Practical Guide to Validation and Verification of Analytical Methods in the Clinical Laboratory. Adv. Clin. Chem. 2019, 90, 215–281. [Google Scholar]
  51. Soria-Arteche, O.; Castillo, R.; Hernández-Campos, A.; Hurtado-De La Peña, M.; Navarrete-Vázquez, G.; Luis Medina-Franco, J.; Gómez-Flores, K. Studies on the Selective S-Oxidation of Albendazole, Fenbendazole, Triclabendazole, and Other Benzimidazole Sulfides. J. Mex. Chem. Soc. 2005, 49, 353–358. [Google Scholar]
  52. Soria-Arteche, O.; Hernández-Campos, A.; Yépez-Mulia, L.; Trejo-Soto, P.J.; Hernández-Luis, F.; Gres-Molina, J.; Maldonado, L.A.; Castillo, R. Synthesis and Antiprotozoal Activity of Nitazoxanide-N-Methylbenzimidazole Hybrids. Bioorganic Med. Chem. Lett. 2013, 23, 6838–6841. [Google Scholar] [CrossRef] [PubMed]
  53. Valdez, J.; Cedillo, R.; Hernandez-Campos, A.; Yepez, L.; Hernandez-Luis, F.; Navarrete-Vazquez, G.; Tapia, A.; Cortes, R.; Hernandez, M.; Castillo, R. Synthesis and Antiparasitic Activity of 1H-Benzimidazole Derivatives. Bioorganic Med. Chem. Lett. 2002, 12, 2221–2224. [Google Scholar] [CrossRef]
  54. Trejo-Soto, P.; Flores-Gahona, A.; Castillo, R.; Hernández-Campos, A. Simplifying Nucleophilic Aromatic Substitutions: Microwave-Assisted Solvent Free Synthesis of 5-Alkylamino-2-Nitroanilines. Curr. Microw. Chem. 2016, 3, 258–265. [Google Scholar] [CrossRef]
  55. Flores-Carrillo, P.; Velázquez-López, J.M.; Aguayo-Ortiz, R.; Hernández-Campos, A.; Trejo-Soto, P.J.; Yépez-Mulia, L.; Castillo, R. Synthesis, Antiprotozoal Activity, and Chemoinformatic Analysis of 2-(Methylthio)-1H-Benzimidazole-5-Carboxamide Derivatives: Identification of New Selective Giardicidal and Trichomonicidal Compounds. Eur. J. Med. Chem. 2017, 137, 211–220. [Google Scholar] [CrossRef]
  56. Velázquez-López, J.M.; Hernández-Campos, A.; Yépez-Mulia, L.; Téllez-Valencia, A.; Flores-Carrillo, P.; Nieto-Meneses, R.; Castillo, R. Synthesis and Trypanocidal Activity of Novel Benzimidazole Derivatives. Bioorganic Med. Chem. Lett. 2016, 26, 4377–4381. [Google Scholar] [CrossRef]
  57. Mikhaleva, A.I.; Ivanov, A.V.; Vasil’tsov, A.M.; Ushakov, I.A.; Shi Ma, J.; Yang, G. Directed Synthesis of Semicarbazones, Thiosemicarbazones, and Guanylhydrazones of 1-Vinylpyrrole-2-Carbaldehydes. Chem. Heterocycl. Compd. 2008, 44, 1384–1390. [Google Scholar] [CrossRef]
  58. Bernatowicz, M.S.; Wu, Y.; Matsueda, G.R. 1H-Pyrazole-1-Carboxamidine Hydrochloride an Attractive Reagent for Guanylation of Amines and Its Application to Peptide Synthesis. J. Org. Chem. 1992, 57, 2497–2502. [Google Scholar] [CrossRef]
  59. Valdez-Padilla, D.; Rodríguez-Morales, S.; Hernández-Campos, A.; Hernández-Luis, F.; Yépez-Mulia, L.; Tapia-Contreras, A.; Castillo, R. Synthesis and Antiprotozoal Activity of Novel 1-Methylbenzimidazole Derivatives. Bioorganic Med. Chem. 2009, 17, 1724–1730. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Inhibition kinetics of recombinant LmARG by compounds 1 and 2.
Figure 1. Inhibition kinetics of recombinant LmARG by compounds 1 and 2.
Ijms 22 13613 g001
Figure 2. Inhibition kinetics of recombinant HsARG by compounds 1 and 2.
Figure 2. Inhibition kinetics of recombinant HsARG by compounds 1 and 2.
Ijms 22 13613 g002
Figure 3. Root Mean Square Deviation analysis of Cα in the Apo-LmARG and the respective complexes.
Figure 3. Root Mean Square Deviation analysis of Cα in the Apo-LmARG and the respective complexes.
Ijms 22 13613 g003
Figure 4. Root Mean Square Fluctuation analysis of Cα in the Apo-LmARG and the respective complexes.
Figure 4. Root Mean Square Fluctuation analysis of Cα in the Apo-LmARG and the respective complexes.
Ijms 22 13613 g004
Figure 5. Root Mean Square Fluctuation analysis of Cα in (a) loop 1, (b) loop 2, (c) loop 3, and (d) loop 4. Apo-LmARG (orange), LmARG-compound 1 (blue), LmARG-compound 2 (violet).
Figure 5. Root Mean Square Fluctuation analysis of Cα in (a) loop 1, (b) loop 2, (c) loop 3, and (d) loop 4. Apo-LmARG (orange), LmARG-compound 1 (blue), LmARG-compound 2 (violet).
Ijms 22 13613 g005
Figure 6. Ligand interactions in LmARG-inhibitor complexes after 30 ns of MD simulation. (a) compound 1 and (b) Compound 2. Both inhibitors are represented as yellow sticks for the C atoms. Relevant residues surrounding the inhibitor are depicted as capped sticks and labeled. Predicted polar interactions (Glu197 and Asp141, respectively) depicted dashed lines.
Figure 6. Ligand interactions in LmARG-inhibitor complexes after 30 ns of MD simulation. (a) compound 1 and (b) Compound 2. Both inhibitors are represented as yellow sticks for the C atoms. Relevant residues surrounding the inhibitor are depicted as capped sticks and labeled. Predicted polar interactions (Glu197 and Asp141, respectively) depicted dashed lines.
Ijms 22 13613 g006
Scheme 1. Synthesis of compounds 1, 8, 9.
Scheme 1. Synthesis of compounds 1, 8, 9.
Ijms 22 13613 sch001
Scheme 2. Synthesis of compound 2, 3, 6 and 7. Reactants and conditions: (a) CH3I/KOH, acetone, 0 °C; (b) EtOH/H2O, H2SO4 cat., 50 °C; (c) KOH, MeOH, 65 °C; (d) SOCl2, DMF, 50 °C; (e) NH3, NH4OH, MeCN, rt., 24 h; (f) bromoacetaldehyde diethyl acetal, K2CO3, DMF, rt.; (g) HCl 2N, 1,4-dioxane, rt.; (h) semicarbazide hydrochloride, EtOH, NaHCO3, rt., 2 h; (i) tert-butyl (2-bromoethyl)carbamate, acetone, K2CO3, rt.; (j) 1H-pyrazole-1-carboxamidine hydrochloride, TEA, MeCN, 60 °C, 24 h.
Scheme 2. Synthesis of compound 2, 3, 6 and 7. Reactants and conditions: (a) CH3I/KOH, acetone, 0 °C; (b) EtOH/H2O, H2SO4 cat., 50 °C; (c) KOH, MeOH, 65 °C; (d) SOCl2, DMF, 50 °C; (e) NH3, NH4OH, MeCN, rt., 24 h; (f) bromoacetaldehyde diethyl acetal, K2CO3, DMF, rt.; (g) HCl 2N, 1,4-dioxane, rt.; (h) semicarbazide hydrochloride, EtOH, NaHCO3, rt., 2 h; (i) tert-butyl (2-bromoethyl)carbamate, acetone, K2CO3, rt.; (j) 1H-pyrazole-1-carboxamidine hydrochloride, TEA, MeCN, 60 °C, 24 h.
Ijms 22 13613 sch002
Table 1. Benzimidazole derivatives with the highest inhibition of recombinant LmARG.
Table 1. Benzimidazole derivatives with the highest inhibition of recombinant LmARG.
CompoundChemical StructureDocking Score (kcal/mol)% Inhibition LmARG [200 μM]
1 Ijms 22 13613 i001−5.46100%
2 Ijms 22 13613 i002−5.04100%
3 Ijms 22 13613 i003−6.3960%
4 Ijms 22 13613 i004−6.0556%
5 Ijms 22 13613 i005−5.9656%
6 Ijms 22 13613 i006−8.3846%
7 Ijms 22 13613 i007−6.0540%
8 Ijms 22 13613 i008−6.0040%
9 Ijms 22 13613 i009−5.0436%
10 Ijms 22 13613 i010−6.6533%
Table 2. Leishmanicidal activities, cytotoxicity and selective index of compounds 1, 2 and reference drugs.
Table 2. Leishmanicidal activities, cytotoxicity and selective index of compounds 1, 2 and reference drugs.
CompoundIC50 (µM)CC50 (µM)SI 1
PromastigotesAmastigotesPromastigotesAmastigotes
16432>417 26.513
2132101>414 23.14.1
Glucantime10135>273 32.77.8
Amphotericin B0.891.37.4 38.36.2
Miltefosine8.18.6141 317.42
1 The selectivity index (SI) was calculated as the ratio of cytotoxicity to biological activity (SI = CC50/IC50). 2 The results show the maximum concentration evaluated in the experiments. 3 Data obtained from Matadamas-Martínez et al., 2019 [28].
Table 3. In-silico predicted physicochemical parameters and ADME-Tox profiling of compounds 1 and 2.
Table 3. In-silico predicted physicochemical parameters and ADME-Tox profiling of compounds 1 and 2.
DescriptorCompound
1
Compound
2
MW 1239.66241.7
logP 12.352.1
logD 12.632.03
logSw 1−2.93−2.82
tPSA 156.1597.07
RB 122
HBD 113
HBA 154
Lipinski’s violations 1nonenone
Veber Rules 1GoodGood
Egan Rules 1GoodGood
BBB+ 20.95840.9117
HIA+ 20.99650.9819
Caco2 20.65310.5468
Lysosome 20.62170.6217
Predicted LD50 35050 mg/kg705 mg/kg
Predicted toxicity class 364
Toxicity targets 3no bindingno binding
1 Obtained in FAFDrugs4 server; MW, Molecular weight MW. LogP, logarithm of the partition coefficient n-octanol/water; logD octanol water distribution coefficient; logSw, intrinsic water solubility; tPSA, topological polar surface area; RB, rotable bonds; HBD, hydrogen bond donors; HBA, hydrogen bond acceptors. 2 Obtained in ADMET-SAR server; BBB+, Blood-Brain Barrier; HIA+, Human Intestinal Absorption; Caco2, Caco2 Permeability. 3 Obtained in ProTox server; Predicted toxicity class values ranged between 1 to 6, 1 is toxic and 6 is safe. Toxicity targets were determined for: Adenosine A2A receptor, Adrenergic beta 2 receptor, Androgen receptor, Amine oxidase, Dopamine D3 receptor, Estrogen receptor 1 and 2, Glucocorticoid receptor, Histamine H1 receptor, Nuclear receptor subfamily 1 group I member 2, Opioid receptor kappa, Opioid receptor mu, cAMP-specific 3 5 -cyclic phosphodiesterase 4D, Prostaglandin G/H synthase 1, Progesterone receptor.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Betancourt-Conde, I.; Avitia-Domínguez, C.; Hernández-Campos, A.; Castillo, R.; Yépez-Mulia, L.; Oria-Hernández, J.; Méndez, S.T.; Sierra-Campos, E.; Valdez-Solana, M.; Martínez-Caballero, S.; et al. Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes. Int. J. Mol. Sci. 2021, 22, 13613. https://doi.org/10.3390/ijms222413613

AMA Style

Betancourt-Conde I, Avitia-Domínguez C, Hernández-Campos A, Castillo R, Yépez-Mulia L, Oria-Hernández J, Méndez ST, Sierra-Campos E, Valdez-Solana M, Martínez-Caballero S, et al. Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes. International Journal of Molecular Sciences. 2021; 22(24):13613. https://doi.org/10.3390/ijms222413613

Chicago/Turabian Style

Betancourt-Conde, Irene, Claudia Avitia-Domínguez, Alicia Hernández-Campos, Rafael Castillo, Lilián Yépez-Mulia, Jesús Oria-Hernández, Sara T. Méndez, Erick Sierra-Campos, Mónica Valdez-Solana, Siseth Martínez-Caballero, and et al. 2021. "Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes" International Journal of Molecular Sciences 22, no. 24: 13613. https://doi.org/10.3390/ijms222413613

APA Style

Betancourt-Conde, I., Avitia-Domínguez, C., Hernández-Campos, A., Castillo, R., Yépez-Mulia, L., Oria-Hernández, J., Méndez, S. T., Sierra-Campos, E., Valdez-Solana, M., Martínez-Caballero, S., Hermoso, J. A., Romo-Mancillas, A., & Téllez-Valencia, A. (2021). Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes. International Journal of Molecular Sciences, 22(24), 13613. https://doi.org/10.3390/ijms222413613

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop