Skip to main content

ORIGINAL RESEARCH article

Front. Chem., 18 September 2019
Sec. Analytical Chemistry
This article is part of the Research Topic Advances in Bioanalytical Methods for Probing Ligand-Target Interactions View all 10 articles

Synthesis and Inhibition Evaluation of New Benzyltetrahydroprotoberberine Alkaloids Designed as Acetylcholinesterase Inhibitors

\nBruna R. de LimaBruna R. de Lima1Juliana M. LimaJuliana M. Lima2Jssica B. MacielJéssica B. Maciel1Carolina Q. ValentimCarolina Q. Valentim3Rita de Cssia S. Nunomura,Rita de Cássia S. Nunomura1,4Emerson S. LimaEmerson S. Lima3Hector H. F. KoolenHector H. F. Koolen5Afonso Duarte L de Souza,Afonso Duarte L de Souza1,4Maria Lúcia B. Pinheiro,Maria Lúcia B. Pinheiro1,4Quezia B. Cass
Quezia B. Cass2*Felipe Moura A. da Silva
Felipe Moura A. da Silva1*
  • 1Central Analítica-Centro de Apoio Multidisciplinar, Universidade Federal do Amazonas, Manaus, Brazil
  • 2Separare, Departamento de Química, Universidade Federal de São Carlos, São Carlos, Brazil
  • 3Faculdade de Farmácia, Universidade Federal do Amazonas, Manaus, Brazil
  • 4Departamento de Química, Universidade Federal do Amazonas, Manaus, Brazil
  • 5Grupo de Pesquisa em Metabolômica e Espectrometria de Massas, Universidade do Estado do Amazonas, Manaus, Brazil

Secondary metabolites from natural products are a potential source of acetylcholinesterase inhibitors (AChEIs), which is a key enzyme in the treatment of many neurodegenerative diseases. Inspired by the reported activities of isoquinoline-derivative alkaloids herein we report the design, one step synthesis and evaluation by capillary enzyme reactor (ICER) of benzyl analogs (1a1e) of the tetrahydroprotoberberine alkaloid stepholidine, which is abundant in Onychopetalum amazonicum. Docking analysis based on the crystal structure of Torpedo californica AChE (TcAChE) indicated that π-π interactions were dominant in all planned derivatives and that the residues from esteratic, anionic and peripheral subsites of the enzyme played key interaction roles. Due to the similarities observed when compared with galantamine in the AChE complex, the results suggest that ligand-target interactions would increase, especially for the N-benzyl derivatives. From a series of synthesized compounds, the alkaloids (7R,13aS)-7-benzylstepholidine (1a), (7S,13aS)-7-benzylstepholidine (1b), and (S)-10-O-benzylstepholidine (1d) are reported here for the first time. The on flow bioaffinity chromatography inhibition assay, based on the quantification of choline, revealed the N-benzylated compound 1a and its epimer 1b to be the most active, with IC50 of 40.6 ± 1 and 51.9 ± 1 μM, respectively, and a non-competitive mechanism. The proposed approach, which is based on molecular docking and bioaffinity chromatography, demonstrated the usefulness of stepholidine as a template for the design of rational AChEIs and showed how the target-alkaloid derivatives interact with AChE.

Introduction

The Amazon rainforest is considered the largest natural reservoir of plant diversity and the most diverse ecosystem on the planet (Oliveira and Amaral, 2004). Among this wide biodiversity, numerous species belonging to the Annonaceae family stand out due to their use in traditional medicine, including the treatment of neurodegenerative diseases (Adams et al., 2007), and as promising sources of bioactive natural products, such as Onychopetalum amazonicum (Almeida et al., 1976; Silva et al., 2015; Lima et al., 2016, 2019).

Plant natural products (PNPs) have attracted the interest of many researchers around the world due to their chemical diversity and biochemical specificity, which make them favorable as lead structures for drug discovery (Cragg et al., 1997; Harvey, 2008). Notoriously, many of these PNPs (e.g., galantamine and huperzine A) have been used in semisynthetic procedures which are designed by rational modifications in order to increase their biological activity or reduce side effects (Högenauer et al., 2001; Atanasova et al., 2015). Among these promising compounds, alkaloids are highlighted due to their high structural diversity and wide range of biological activities, including Anti-HIV (Kashiwada et al., 2005), anticancer (Lu et al., 2012), and acetylcholinesterase (AChE) inhibition (Tsai and Lee, 2010; Hostalkova et al., 2019).

In regards to AChE, this enzyme has been an attractive target for rational drug design and the discovery of mechanism-based inhibitors for the treatment of central nervous system (CNS) and peripheral diseases, such as myasthenia gravis (Cui et al., 2015), glaucoma (Almasieh et al., 2013), schizophrenia (Patel et al., 2010) and Alzheimer's disease (Murray et al., 2013). Thus, the use of AChE inhibitors (AChEIs) is considered a therapeutically-relevant strategy for these diseases (Houghton et al., 2006; Mukherjee et al., 2007; Anand and Singh, 2013; Mohammad et al., 2017), and justifies the search for new leads. Since the identification of galantamine as a powerful AChEI, the prospection of AChEIs has been boosted in the field of chemistry of natural products (Houghton et al., 2006; Mukherjee et al., 2007; Anand and Singh, 2013; Deka et al., 2017), and, several alkaloid classes, including isoquinolines, indoles, quinolizidines, piperidines, and steroidal alkaloids, have been reported as promising AChEIs (IC50 < 50 μM) (Murray et al., 2013). Regarding isoquinoline-derived alkaloids, recent studies pointed out berberine and tetrahydroprotoberberine salts as potent AChEIs and therefore, suitable templates to design rational AChE ligands (Tsai and Lee, 2010; Hostalkova et al., 2019).

To meet this end, complementary approaches commonly used in drug discovery are often combined, such as virtual screening and co-crystallization experiments. These allow understanding of how AChE interacts with ligands at the active site, and thus support the design and screening of new AChEIs. As an example, the determination of the crystal structure of Torpedo californica AChE (TcAChE) permitted the visualization, at atomic resolution, of the active site of AChE that is unexpectedly located at the bottom of a deep gorge lined largely by aromatic residues (Dvir et al., 2010), suggesting that π-π stacking interactions may be of great relevance to the action of AChEIs, which corroborates the docking results for benzylated compounds and TcAChE (Yamamoto et al., 1994).

Regarding the in vitro biological assays, a variety of colorimetric methods based on the Ellman's reagent (Ellman et al., 1961) with either free (Mantoani et al., 2016) or immobilized enzyme (Andrisano et al., 2001; Vilela et al., 2014) have been described in order to identify AChEIs in natural or synthetic libraries. The main drawback of these assays is that they are based on indirect AChE activity measurement and thus prone to false positive and/or negative results. To overcome these problems, an on-flow assay based on the use of AChE immobilized capillary enzyme reactors (AChE-ICERs) has been adopted to directly measure the production of choline (Ch). One of the key advantages of this approach is the use of a mass spectrometer as the detector, which allows differentiation between the ligands from the substrate and reaction products (Vanzolini et al., 2013; Seidl et al., 2019). The usefulness of the AChE-ICERs assay platform has been demonstrated not only as a tool for identifying inhibitors, but also for characterizing inhibition mechanisms (Vanzolini et al., 2013; Sangi et al., 2014; Torres et al., 2016; Seidl et al., 2019).

Herein, we report the design, one-step synthesis, and evaluation by ICER of new benzyl analogs obtained from stepholidine, an isoquinoline-derived neuroprotective alkaloid, which was obtained from the Amazonian plant O. amazonicum. The virtual screening associated to the inhibition AChE-ICER assay enabled us to pinpoint the main target-alkaloid interactions.

Materials and Methods

General Apparatus and Chemicals

Optical rotations were acquired at a Polartronic H-series polarimeter at the sodium D line (589 nm) and 25°C (Schmidt + Haensch, Berlin, Germany). Mass spectrometry data for structural determination were obtained using a triple quadrupole (QqQ) (TSQ Quantum Access, San Jose, CA, USA) and a quadrupole time-of-flight (Q-TOF) (Impact HD, Bruker Daltonics, Bullerica, MA, USA) mass spectrometer, both equipped with an electrospray ion source (ESI), in the positive mode. The biological assay was carried out in a chromatography system that consisted of two LC-20AD pumps, a SIL 20A autosampler, a DGU-20A5 degasser, a CTO-20A column oven and a CBM-20A interface (Shimadzu, Kyoto, Japan). The LC system was coupled to an Esquire 6000 ion trap (IT) mass spectrometer equipped with an ESI source (Bruker Daltonics, Bremen, Germany). The Data Analysis software (Bruker Daltonics, Bremen, Germany) was employed for the data acquisition. One-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) spectroscopy data were acquired using an AVANCE III HD 500 spectrometer (Bruker, Billerica, USA) operating at 11.7 T (500.13 and 125.76 MHz for 1H and 13C, respectively). Chemical shifts (δ) were presented in ppm relative to the tetramethylsilane (TMS) signal at 0.00 ppm as an internal reference and the coupling constants (J) were given in Hertz. Deuterated methanol (CD3OD, 99.8%), was obtained from Cambridge Isotope Laboratories (Tewksbury, MA, USA). Semi-preparative high performance liquid chromatography (HPLC) analysis was performed on a Shimadzu UFLC system (LC-6 AD pump; DGU-20A5 degasser; SPD-20AV UV detector; rheodyne injector; CBM-20A communication module) (Columbia, MD, USA) equipped with a Luna C18(2) column (250 × 10 mm, 5 μm) (Phenomenex–Torrance, CA, USA). Column chromatography (CC) was carried out on silica gel 60 (230–400 mesh; Merck) and KP-C18-HS cartridge (Biotage, VA, USA). All solvents used for chromatography and MS experiments were HPLC grade and were purchased from J. T. Baker (Phillipsburg. NJ, USA), and the water was purified by using a Milli-Q system (Millipore, Bedford, MA, USA). The analytical reagents, ammonium acetate, potassium hydroxide (KOH), dimethylformamide (DMF), benzyl bromide (BnBr), AChE from Electrophorus electricus (eelAChE) type VI-S, choline iodide (Ch), acetylcholine iodide (ACh), and galanthamine bromide were purchased from Sigma-Aldrich (St. Louis, MO, USA).

Plant Material

Onychopetalum amazonicum R. E. Fr. (Annonaceae) leaves were collected from a specimen previously cataloged during the Flora project (Ribeiro et al., 1999) in March, 2014 in the Adolpho Ducke Forest Reserve (26 km North on the AM-010 highway, in the municipality of Manaus, Amazonas state, Brazil, 2°59′15.9″S, 59°55′35.5″W). The access to genetic heritage was registered at Sistema Nacional de Gestão do Patrimônio Genético e do Conhecimento Tradicional Associado (SisGen) under the code #AE0F182. A voucher (#218341) was deposited in the herbarium of the Instituto Nacional de Pesquisas da Amazônia (INPA). The material was immediately dried at ambient temperature (ca. 20°C) during 20 days.

Extraction, Synthesis, and Isolation

To obtain a stepholidine-rich fraction (SRF), the dried and powdered leaves of O. amazonicum (300 g) were directly subjected to an acid-base extraction (Soares et al., 2015) to give an alkaloid-rich fraction (1.36 g). Then, an aliquot of the alkaloidal fraction (1 g) was subjected to silica gel CC eluted with hexane-ethyl acetate-methanol (30:40:30, v/v), which provided 13 fractions. These fractions were pooled according to MS analysis to provide the SRF (fractions 3–8) (0.44 g), and this sample was submitted to MS, 1H NMR analysis, and synthesis procedures.

The compounds 1a−1e were prepared by following an adapted one-step synthetic method (Karimova et al., 2014). The SRF (0.44 g) was added to a round bottom flask containing KOH (0.56 g) and DMF (10 mL). The resulting mixture was stirred and heated (40°C) for 30 min and then benzyl bromide (1.2 mL) was added. After 24 h, the mixture was partitioned with distilled water (20 mL) and dichloromethane (DCM) (20 mL). The DCM fraction (DCMF) (0.7 g) was dried under a nitrogen gas stream, while the aqueous fraction (AF) (1.4 g) was freeze-dried.

An aliquot (0.50 g) of the AF and DCMF was subjected to C18 CC eluted with gradient systems of water-methanol, affording 4 and 3 fractions, respectively. Fractions coded as AF3 (66.4 mg) and DCMF3 (133.1 mg) were subjected to further purification by semi-preparative HPLC using a C18 column with a constant flow-rate of 3.5 mL/min and UV detection at 235 and 280 nm. Formic acid aqueous solution (1%, v:v) (A) and methanol (B) were used as mobile phases. The gradient elution was as follows: 0–15 min, 20–50% B, 15–27 min, 50–80% B, 27–37 min, 80% B (v:v). AF3 (3 × 20 mg) and DCMF3 (6 × 20 mg) fractions were carried onto the column in water and DMSO (100 μL), respectively. The fractions coded as AF3-1 (19.6 mg–1b), AF3-2 (14.8 mg–1a), DCMF3-6 (15.3 mg–1c), DCMF3-7 (13.5 mg–1d), and DCMF3-11 (18.5 mg–1e) were submitted to HRMS, 1D and 2D NMR analysis.

(7R,13aS)-7-benzylstepholidine (1a): yellow powder (14.8 mg); [α]D25 = −33.88° (c 0.072, MeOH); 1H NMR (500 MHz, CD3OD) δ 3.27 (m, 1H), 3.42 (m, 1H), 3.72 (m, 1H), 3.80 (m, 1H), 3.84 (s, 3H), 3.93 (s, 3H), 4.01(dd, J = 17.9, 5.6 Hz, 1H), 4.29 (m, 2H), 4.33 (m, 1H), 4.60 (d, J = 15.7 Hz, 1H), 5.26 (dd, J = 12.2, 5.9 Hz, 1H), 6.78 (s, 1H), 6.96 (s, 1H), 7.03 (d, J = 8.3 Hz, 1H), 7.12 (d, J = 8.3 Hz, 1H), 7.27 (m, 2H), 7.49 (m, 2H), 7.54 (m, 1H); 13C NMR (125.76 MHz, CD3OD) δ 25.0, 29.9, 52.4, 56.6, 58.3, 58.5, 61.1, 68.9, 112.8, 113.5, 119.4, 121.3, 122.3, 122.8, 123.2, 126.1, 128.3, 130.7, 132.1, 133.8, 145.2, 148.0, 150.1, 150.4; HRMS m/z 418.2011 (calcd. for C26H28NO4, 418.2018, Δm/ztheoretical = −1.67 ppm).

(7S,13aS)-7-benzylstepholidine (1b): yellow powder (19.6 mg); [α]D25 = −35.10° (c 0.082, MeOH); 1H NMR (500 MHz, CD3OD) δ 3.15 (dd, J = 18.1, 10 Hz, 1H), 3.33 (m, 1H), 3.42 (dd, J = 18.1, 10 Hz, 1H), 3.50 (m, 1H), 3.57 (m, 1H), 3.81 (s, 3H), 3.85 (m, 1H), 3.91 (s, 3H), 4.52 (d, J = 15.7 Hz, 1H), 4.66 (m, 2H), 4.71 (d, J = 15.7 Hz, 1H), 4.74 (m, 1H), 6.78 (s, 1H), 6.80 (d, J = 8.3 Hz, 1H), 6.85 (d, J = 8.3 Hz, 1H), 6.96 (s, 1H), 7.50 (m, 2H), 7.54 (m, 2H), 7.57 (m, 1H); 13C NMR (125.76 MHz, CD3OD) δ 24.2, 35.3, 51.7, 56.7, 56.9, 60.9, 65.0, 65.5, 113.5, 114.4, 118.9, 120.7, 120.8, 121.8, 125.0, 125.8, 128.4, 130.7, 132.3, 134.4, 145.7, 147.7, 150.2, 150.3; HRMS m/z 418.2001 (calcd. for C26H28NO4, 418.2018, Δm/ztheoretical = −4.06 ppm).

(S)-2-O-benzylstepholidine (1c): yellow powder (15.3 mg); [α]D25 = −387.60° (c 0.26, MeOH); 1H NMR (500 MHz, CD3OD) δ 2.71 (dd, J = 16.1, 11.4 Hz, 1H), 2.80 (m, 1H), 2.87 (m, 1H), 3.12 (ddd, J = 16.1, 11.2, 5.4 Hz, 1H), 3.37 (m, 2H), 3.74 (d, J = 15.6 Hz, 1H), 3.82 (s, 3H), 3.83 (s, 3H), 4.40 (d, J = 15.6 Hz, 1H), 5.09 (s, 2H), 6.75 (s, 1H), 6.76 (d, 8.3 Hz, 1H), 6.80 (d, 8.3 Hz, 1H), 6.90 (s, 1H), 7.29 (m, 1H), 7.37 (m, 2H), 7.44 (m, 2H); 13C NMR (125.76 MHz, CD3OD) δ 28.6, 35.7, 52.4, 54.3, 56.5, 60.4, 72.6, 113.3, 113.5, 116.9, 125.4, 126.2, 127.1, 127.6, 128.9, 129.1, 129.4, 138.7, 145.0, 148.2, 149.1, 150.4; HRMS m/z 418.2010 (calcd. for C26H28NO4, 418.2018, Δm/ztheoretical = −1.91 ppm).

(S)-10-O-benzylstepholidine (1d): yellow powder (13.5 mg); [α]D25 = −146.02° (c 0.42, MeOH); 1H NMR (500 MHz, CD3OD) δ 2.74 (m, 1H), 2.79 (m, 2H), 3.10 (m, 1H), 3.34 (m, 1H), 3.38 (dd, J = 16.3, 4.1 Hz, 1H), 3.65 (m, 2H), 3.82 (s, 3H), 4.3 (d, J = 15.6 Hz, 1H), 5.08 (s, 2H), 6.68 (s, 1H), 6.75 (s, 1H), 6.90 (d, J = 8.5 Hz, 1H), 6.97 (d, J = 8.5 Hz, 1H), 7.30 (m, 1H), 7.37 (m, 2H), 7.45 (m, 2H); 13C NMR (125.76 MHz, CD3OD) δ 29.0, 36.2, 52.9, 54.7, 56.5, 60.8, 60.9, 72.1, 112.7, 113.3, 115.1, 125.3, 125.9, 128.0, 128.6, 128.8, 129.1, 129.7, 129.8, 138.8, 146.5, 147.0, 148.3, 151.0; HRMS m/z 418.2009 (calcd. for C26H28NO4, 418.2018, Δm/ztheoretical = −2.15 ppm).

(S)-O, O-dibenzylstepholidine (1e): yellow powder (18.5 mg); [α]D25 = −96.15° (c 0.32, MeOH); 1H NMR (500 MHz, CD3OD) δ 2.71 (m, 1H), 2.65 (m, 2H), 3.08 (m, 1H), 3.21 (m, 1H), 3.25 (m, 1H), 3.52 (m, 2H), 3.82 (s, 3H), 3.86 (s, 3H), 4.21 (d, J = 16.1 Hz, 1H), 5.02 (s, 2H), 5.08 (s, 2H), 6.71 (s, 1H), 6.85 (d, J = 8.2 Hz, 1H), 6.86 (s, 1H), 6.92 (d, J = 8.2 Hz, 1H), 7.30 (m, 2H), 7.36 (m, 4H), 7.44 (m, 4H); 13C NMR (125.76 MHz, CD3OD) δ 29.1, 36.3, 52.5, 54.7, 56.5, 60.6, 60.7, 71.9, 113.3, 113.6, 114.7, 125.1, 128.3, 128.6, 128.8, 128.91, 129.0, 130.2, 138.8, 146.8, 148.0, 150.1, 150.7; HRMS m/z 508.2473 (calcd. for C33H34NO4, 508.2488, Δm/ztheoretical = −2.95 ppm).

Molecular Docking

The docking studies were carried out according to a previously reported approach (Santos et al., 2016). First, the 3D structures of stepholidine and compounds 1a−1e were generated and checked in relation to the protonated state in pH 7.4, and the tautomers via Marvin Sketch (ChemAxon, 2017). Then, to identify the optimized structures with the lowest energy, the structures were treated by the semi-empirical method PM7 (Stewart, 2013) using MOPAC2016 software (Stewart, 2016). The refined structures were converted into PDBQT files via Autodock tools (Morris et al., 2009). The three-dimensional crystal structure of TcAChE complexed with galantamine was retrieved from the RCSB (Research Collaboratory for Structural Bioinformatics) protein data bank (http://www.rcsb.org) under PDB ID 1QTI (Bartolucci et al., 2001). The receptor preparation was as previously reported (Santos et al., 2016), in which the grid box was centered at the ligand to cover the entire binding site. Finally, a rigid docking process was carried out using Autodock Vina (Trott and Olson, 2010) with Discovery Studio (AccelrysInc, 2016) being used to analyze the binding conformations.

Biological Evaluation Based on AChE-ICER Assay

AChE from Electrophorus electricus (type VI-S) was immobilized in a fused-silica capillary tube (eelAChE-ICER) according to a previously reported protocol (Vanzolini et al., 2013). An enzyme solution containing 2 units/mL eelAChE was used in the immobilization procedure. The LC-MS system was set up for the eelAChE-ICER as previously described (Vanzolini et al., 2013). The mobile phase (15 mM ammonium acetate solution, pH 8.0) was infused by pump 1 at a flow rate of 50 μL/min and pump 2 delivered acetonitrile after the eelAChE-ICER at a flow rate of 50 μL/min. IT-MS parameters were: 3,713 V capillary voltage, 500 V end plate voltage, 7.0 mL/min drying gas, 300°C drying temperature and 30 psi nebulizer. In addition, ACh ([M+H]+ m/z 146) and Ch ([M+H]+ m/z 104), were analyzed by MS operating in the manual MSn mode under positive ionization (scan 50–550 m/z). Enzymatic activity was quantified using a Ch standard external calibration curve prepared in 15 mM ammonium acetate solution, pH 8.0 with the final concentration ranging from 5 to 350 μM. An aliquot (10 μL) of each solution was injected in triplicate into the system using an empty fused silica capillary. The calibration curve was obtained by plotting the Ch [M+H]+ m/z 104 area against the injected Ch concentration.

The derivatives compounds 1a−1e, stepholidine and galantamine were screened with eelAChE-ICER. Stock solutions of each compound were prepared in methanol at 1.0 mM. The enzymatic activity of eelAChE-ICER was measured in the presence and absence of each compound. Reactions mixtures were prepared by mixing 20 μL of ACh stock solution (350 μM, in 15mM ammonium acetate solution, pH 5.0) with 10 μL of methanol or stock solution of compounds (1.0 mM) and 70 μL ammonium acetate solution (15mM, pH 8.0). Each reaction mixture (10 μL) was injected into the LC-MS system. The percentage of inhibition (%I) was calculated by comparing the product peak area in the presence of tested compound with positive control (absence of inhibitors).

Inhibitory potency (IC50) for galantamine and compounds (1a and 1b) was obtained by directly quantifying Ch production in the presence of different concentrations of inhibitors. Stock solutions of galantamine (50–4,000 μM), derivatives 1a and 1b (both at 10–5,000 μM) were prepared in methanol. Reactions mixtures were prepared by mixing 20 μL of ACh stock solution (500 μM, in 15 mM ammonium acetate solution, pH 5.0) with 10 μL of stock solution of galantamine, 1a or 1b. Final volumes were completed with 70 μL ammonium acetate solution (15mM, pH 8.0) and each reaction mixture (10 μL) was injected into the LC-MS system. The inhibition curve was obtained for each sample by plotting the percentage of inhibition vs. each corresponding inhibitor concentration, and the IC50 values were achieved by non-linear regression analysis using GraphPad Prism 5 software.

The mechanism of action and its steady-state inhibition constant (Ki) were also determined for derivatives 1a and 1b. For this purpose, the eelAChE-ICER activity was evaluated under different concentrations of ACh (10 to 150 μM) and at the fixed concentration of derivative 1a and 1b (0, 10, 50, and 75 μM). Lineweaver-Burk plots were used to determine the action mechanism for the inhibitors.

Ki values for 1a and 1b were determined from the slope of the Lineweaver-Burk plots vs. the respective derivative concentration. A linear replot was obtained, and the division quotient between the linear and angular coefficients provided the Ki values.

Results and Discussion

Molecular Docking of N-benzyl and O-benzyl Stepholidine Derivatives

The ligand binding pocket of TcAChE is heavily hydrophobic and largely lined by aromatic residues, thus suggesting that an increase in in vitro potency could be, theoretically, achievable by the accommodation of compounds with favored π-π stacking interactions in the binding pocket. Therefore, a preliminary docking study was conducted with the tetrahydroprotoberberine alkaloid stepholidine, a neuroprotective natural product, abundant in the Amazonian species O. amazonicum (Yang et al., 2007; Hao et al., 2015; Lima et al., 2019) and a series of its N-benzyl and O-benzyl derivatives. This was achieved by comparison of their binding energy and main interactions in the crystallographic structure with the galanthamine-TcAChE complex, since this model has already been successfully applied in virtual screening approaches of AChEIs (Rollinger et al., 2004, 2009).

Compounds 1a−1e (Figure 1) presented better scoring function values than stepholidine and galantamine (redocking binding free energy = −9.6 kcal/mol, RMSD < 2), which suggests the establishment of new favorable interactions for the ligands-TcAChE complex. Since the active-site gorge of TcAChE contains two subsites, esteratic and anionic, which correspond to the catalytic machinery (Ser200, Glu327 and His440) and the choline-binding pocket (Trp84 and Phe330), respectively, we therefore focused our interpretation on these interactions, in addition to the interactions in peripheral subsite (Trp279) (Dvir et al., 2010).

FIGURE 1
www.frontiersin.org

Figure 1. Design of the AChEIs from the benzylation of stepholidine.

Here, the observed interactions for galantamine (Figure 2A) were similar to the one described by Bartolucci et al. (2001). The oxygen atom of the O-methyl group participated in hydrogen bonding with Ser200 from the esteratic subsite, while its hydroxyl oxygen formed hydrogen bonds with residues Gly118 and Glu199. Also, π-alkyl interactions were observed with Trp84 and Phe330 at the anionic subsite. On the other hand, stepholidine showed π-π stacking interactions of A and D aromatic rings, respectively with the anionic (Trp84 and Phe330) and peripheral subsites (Trp279) (Figure 2B).

FIGURE 2
www.frontiersin.org

Figure 2. General interactions for galantamine-TcAChE (A) and stepholidine-TcAChE (B) complex.

Compound 1a, a N-benzyl derivative, showed that the oxygen atom of the O-methyl group from the D ring established a hydrogen bonding with Ser200 from esteratic subsite (Figures 3A,B), similar to galantamine. Besides, the aromatic D ring and the positively charged nitrogen presented π-π stacked and π-cation interactions with Trp84 and Phe330 from the anionic subsite, respectively, which contrasts with the π-alkyl interactions from galantamine. In addition, π-π interaction was observed between the benzyl moiety and the Tyr334, and hydrogen bond interactions between the hydroxyl oxygen from the A aromatic ring with Asn85. On the other hand, compound 1b, an epimer of 1a, presented π-π stacked interactions between the A and D aromatic ring and the anionic (Trp84 and Phe330) and peripheral subsites (Trp279) (Figure 3C), similarly to stepholidine. Besides this, the positively charged nitrogen presented π-cation and attractive charge interactions with Asp72 and Tyr334, respectively. Surprisingly, no relevant interaction was observed for the benzyl moiety.

FIGURE 3
www.frontiersin.org

Figure 3. General interactions for compound 1a-TcAChE complex by 2D diagram (A) and 3D view (B), and compound 1b-TcAChE complex by 2D diagram (C).

Compound 1c, an O-benzyl derivative, presented several π-π type interactions (Figure 4A), highlighting those between benzyl moiety from A ring and Trp84, Phe330 and His440, therefore they comprise part of the catalytic machinery and the choline-binding pocket of TcAChE. The A ring also showed π-π interactions with the residues Phe330 and Tyr334. In addition to the Trp279 interaction in the D ring, also observed in the stepholidine and compound 1b, a hydrogen bond between the hydroxyl oxygen and Ser286 was observed. Compound 1d, another O-benzyl derivative, displayed similar interactions with stepholidine, except for the π-π stacked between the benzyl moiety from D ring and Trp279 from the peripheral subsite (Figure 4B). On the other hand, for compound 1e, an O, O-dibenzyl derivative, the interactions of Phe330 and Trp279 with the A and D aromatic rings (Figure 4C) were reversed in relation to compounds 1b, 1d and stepholidine. Also, for the benzyl moieties, π-sigma and π-π stacked interactions were observed with Ile287 and Gly117, respectively.

FIGURE 4
www.frontiersin.org

Figure 4. General interactions between compound 1c (A), 1d (B), and 1e (C), and the TcAChE enzyme by 2D diagram.

Taking into account the docking analysis, it can be perceived that π-π interactions are dominant in compound series 1a−1e with key interactions with residues from esteratic, anionic and peripheral subsites. It was also construed that the N-benzyl derivatives, given their interaction similarities with galantamine in the TcAChE complex, would favor the activity.

Remarkably, the stepholidine N-benzyl and O-benzyl derivatives showed higher scoring values than either galantamine or stepholidine. Therefore, compounds 1a−1e were synthesized following reaction steps described at Scheme 1, followed by full characterization and, then, submitted to inhibition screening.

SCHEME 1
www.frontiersin.org

Scheme 1. One-step synthesis of compounds 1a−1ea.

Structural Determination

The MS and 1H NMR spectra of SRF (Supplementary Material) displayed signals that were consistent with the stepholidine structure, which is in agreement with a recently published study about the O. amazonicum alkaloid content (Lima et al., 2019). On the other hand, the stepholidine concentration in the SRF was determined as being >85% based on the integration of the aromatic signals in the 1H NMR spectrum. To evaluate the stereochemistry of the 13a position in the stepholidine and of compounds 1a−1e, stepholidine previously isolated from O. amazonicum (Lima, 2005) was subjected to polarimetric analysis, and presented [α]D25 = −231.69° (c 0.19, MeOH), this value was in accordance with the 13aS configuration (Chen and Yang, 2009).

Compound 1a was obtained as a yellow amorphous powder. Its molecular formula was determined as C26H28NO4 by HRMS (obs. m/z 418.2011; calcd. 418.2018, Δm/ztheoretical = −1.67 ppm). The MS/MS spectrum of the ion at m/z 418 presented two main neutral losses of 92 (m/z 326) and 150 Da (m/z 268), which are consistent with a tetrahydroprotoberberine alkaloid containing methoxyl and hydroxyl groups at D ring (Lima et al., 2019) and an N-benzyl group (Kuck et al., 2011). Ratifying the MS analysis, the 1H NMR exhibited signals of an ortho-substituted ring at δH 7.12 (d, J = 8.3 Hz, 1H) and 7.03 (d, J = 8.3 Hz, 1H), as well signals of a para-substituted ring at δH 6.96 (s) and 6.78 (s), and two methoxyl signals at δH 3.93 (s) and 3.84 (s), all typical signals of the stepholidine structure (Lima et al., 2019), while the benzyl signals were observed at δH 7.54 (m, 1H), 7.49 (m, 2H), 7.27 (m, 2H), and 4.29 (d, J = 4.9 Hz, 2H). The confirmation of the N-benzylation was achieved via the heteronuclear multiple bond correlation (HMBC) experiment. In this, J3-couplings for the benzyl methylene protons at δH 4.29 (m, 2H) with the carbons at δC 52.4 and 58.3 confirmed our hypothesis. The stereochemistry of the 13a position was assigned as S based on the precursor stereochemistry, and a negative value was also observed in the polarimetric analysis ([α]D25 = −33.88°, c 0.072, MeOH). Due to the observation of a nuclear Overhauser effect (NOE) between the benzyl methylene protons at δH 4.29 and the methine proton at δH 5.26 (dd, J = 12.2, 5.9 Hz, 1H) in the nuclear Overhauser enhancement spectroscopy (NOESY) spectrum, the stereochemistry of the nitrogen atom was confirmed as R. Therefore, compound 1a was determined as being the previously undescribed tetrahydroprotoberberine alkaloid named (7R,13aS)-7-benzylstepholidine.

Compound 1b was obtained as a yellow amorphous powder. Its molecular formula was determined as C26H28NO4 by HRMS (obs. m/z 418.2001; calcd. 418.2018, Δm/ztheoretical = −4.06 ppm). A comparative analysis of the MS and NMR data for compounds 1a and 1b indicated the same structure. Since they were separated via HPLC, it was assumed that 1b was a diastereomer of 1a. Similarly, for compound 1a, the stereochemistry of the 13a position for compound 1b was assigned as S based on the precursor stereochemistry, and a negative value was also observed in the polarimetric analysis ([α]D25 = −35.10°, c 0.082, MeOH). Due to the observation of a NOE effect between the benzyl methylene proton at δH 4.66 and the methylene proton at δH 3.50 (m, 1H) in the NOESY spectrum, the stereochemistry of the nitrogen atom was confirmed as S. Therefore, compound 1b was determined as being the previously undescribed tetrahydroprotoberberine alkaloid named (7S,13aS)-7-benzylstepholidine.

Compound 1c was obtained as a yellow amorphous powder. Its molecular formula was determined as C26H28NO4 by HR-MS (obs. m/z 418.2010; calcd. 418.2018, Δm/ztheoretical = −1.91 ppm). The MS/MS spectrum of the ion at m/z 418 presented two main neutral losses of 91 (m/z 327) and 150 Da (m/z 268), which are consistent with a tetrahydroprotoberberine alkaloid contain methoxyl and hydroxyl groups at D ring (Lima et al., 2019) and an O-benzyl group (Kuck et al., 2011). Ratifying the MS analysis, the 1H NMR also exhibited typical signals of the stepholidine structure. The aromatic benzyl signals were observed at δH 7.44 (m, 2H), 7.37 (m, 1H), 7.29 (m, 2H), while the methylene signals were observed at δH 5.09 (s, 2H). The confirmation of the O-benzylation at A ring was reached via the J3-couplings for the benzyl methylene protons at δH 5.09 (s, 2H) with the carbon at δC 148.1 in the HMBC experiment. The stereochemistry of the 13a position was assigned as S based on the precursor stereochemistry, a negative value was also observed in the polarimetric analysis ([α]D25 = −387.60°, c 0.26, MeOH). Therefore, compound 1c was determined as the previously described tetrahydroprotoberberine alkaloid named (S)-2-O-benzylstepholidine.

Compound 1d was obtained as a yellow amorphous powder. Its molecular formula was determined as C26H28NO4 by HRMS (obs. m/z 418.2009; calcd. 418.2018, Δm/ztheoretical = −2.15 ppm). A comparison between the MS and NMR data of compounds 1c and 1d indicated that these compounds shared similar skeleton, as the position of the O-benzyl group was the main difference between them. The confirmation of the O-benzylation at D ring was achieved via the J3-couplings for the benzyl methylene protons at δH 5.08 (s, 2H) with the carbon at δC 150.9 in the HMBC experiment. The stereochemistry of the 13a position was also assigned as S based on the precursor stereochemistry, a negative value was also observed in the polarimetric analysis ([α]D25 = −146.02°, c 0.42, MeOH). Therefore, compound 1d was determined as being the previously undescribed tetrahydroprotoberberine alkaloid named (S)-10-O-benzylstepholidine.

Compound 1e was obtained as a yellow amorphous powder. Its molecular formula was determined as C33H34NO4 by HRMS (obs. m/z 508.2473; calcd. 508.2488, Δm/ztheoretical = −2.95 ppm). A comparison between the MS and NMR data of compounds 1c, 1d, and 1e indicated that 1e shared similar O-benzyl positions with 1c and 1d. This was confirmed via the J3-couplings for the benzyl methylene protons at δH 5.08 (s, 2H) and 5.02 (s, 2H) with the carbons at δC 147.9 and 150.6, respectively, in the HMBC experiment. The stereochemistry of the 13a position was also assigned as being S based on the precursor stereochemistry, a negative value was also observed in the polarimetric analysis ([α]D25 = −96.15°, c 0.32, MeOH). Therefore, compound 1e was determined as the previously described tetrahydroprotoberberine alkaloid named (S)-O,O-dibenzylstepholidine.

Biological Evaluation Based on AChE-ICER Assay

It is well-accepted that docking studies are carried out using TcAChE due to the availability of its crystal structure and the established knowledge of ligand interactions for this enzyme (Houghton et al., 2006; Mohamed and Rao, 2010; Gupta et al., 2011). In the case of inhibition assays, the use of eelAChE is also well-accepted as a substitute for human AChE (Mohamed and Rao, 2010; Gupta et al., 2011; Vanzolini et al., 2013). Moreover, both enzymes have conserved primary sequences in the active residues (Gupta et al., 2011). Thus, stepholidine and its derivatives 1a1e were screened by the inhibition eelAChE-ICER on flow assay. ACh was used as substrate, while galantamine was used as a positive control. The results of inhibition percentages are given in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Inhibition percentages of N-benzyl and O-benzyl stepholidine derivatives against eelAChE.

The screening assay disclosed compound 1a and its epimer 1b as the inhibitors (Table 1), with inhibition values close to those obtained for galantamine, while compounds 1c-1e and stepholidine presented values below 50%. Thus, IC50 values were determined only for these two compounds, in which the values obtained were of 40.6 ± 1 for 1a and 51.9 ± 1 μM for 1b (Figures 5A,B). Regarding the increase in activity observed for compounds 1a and 1b, this is in accordance with a previous published study (Loizzo et al., 2008) which was carried out with stepholidine (IC50 > 100 μM), N-methyl stepholidine (IC50 = 31.30 μM) and stepharanine (IC50 = 14.10 μM), and which showed that stepholidine has significantly less activity than its quaternary derivatives. This suggests that a positive charge at the nitrogen portion can influence AChE inhibitory activity.

FIGURE 5
www.frontiersin.org

Figure 5. Dose-response curve plots of inhibition percentage for compound 1a (A) and 1b (B). Double-reciprocal plots for compound 1a (C) and 1b (D).

In spite of the IC50 values of compounds 1a and 1b being higher when compared to galantamine under the same experimental conditions (IC50 = 17.1 ± 1.1 μM), the mechanism of inhibition and Ki were determined and, both inhibitors 1a (Ki = 11.6 μM) and 1b (Ki = 4.7 μM) substantially reduced the rate of the enzymatic reaction, which illustrates a characteristic behavior of non-competitive inhibitors as observed in the double-reciprocal plots (Figures 5C,D).

The evaluation of inhibition modality is a relevant assessment in the early stages of drug discovery programs, since the mode of interaction could be affected, however this depends on the physiological contexts to which the enzyme is exposed. As an example, competitive inhibitors bind exclusively to the free enzyme form, while non-competitive or mixed type inhibitors bind with some affinity to both forms e.g., the free enzyme and the enzyme-substrate complex. Thus, the non-competitive inhibition modality can be a significant advantage in vivo when the physiological context exposes the enzyme to high substrate concentrations. Although the clinical advantage of non-competitive inhibition has been recognized, there are a very large number of drugs in clinical use today that are competitive enzyme inhibitors, and which can be related to historical approaches for drug discovery that have been focused on active site-directed inhibitors (Copeland, 2016). Here, we presented two benzyl analogs from stepholidine that act via the non-competitive mechanism. The mechanistic differences between compounds 1a, 1b and galantamine could be assigned to the π-π interactions with Trp84 and Phe330, which were observed only for these two stepholidine derivatives with higher inhibitory potency. These results highlight the importance of the π-π interaction for the ligands and thus can be used for designing non-competitive AChEIs, which explore the clinical advantages of this inhibition modality.

Conclusion

The proposed approach, which is based on the design of new tetrahydroprotoberberine alkaloids with increased π-π stacking interactions in the ligand binding pocket followed by inhibition analysis through AChE-ICER assay, proved to be a useful strategy for the identification of new AChEIs. Docking analysis results suggest an increase in the inhibition potency for the N-benzyl and O-benzyl derivatives when compared to the precursor stepholidine, which was corroborated by the biological inhibition data. In addition, the biological results showed that N-benzyl stepholidine derivatives are more active than O-benzyl derivatives, which suggests that the quaternary nitrogen plays a key role in AChE inhibition. These observations, along with key interactions observed in docking analysis, can be useful in the design of new AChEIs. Overall, the proposed approach demonstrated the usefulness of stepholidine as a suitable template for the design of rational AChEIs and demonstrated how the target-alkaloid derivatives interact with AChE.

Data Availability

All datasets generated for this study are included in the manuscript/Supplementary Files.

Author Contributions

BL and FS were responsible for the molecular docking. BL and JM prepared the stepholidine-rich fraction. BL, CV, and EL were responsible for the synthesis procedure. BL, RN, and AS were responsible for the compounds isolation. BL, HK, FS, and MP were responsible for the characterization of compounds. BL, JL, and QC were responsible for the biological assays. BL, JL, HK, FS, and QC drafted the manuscript and all the other authors contributed to the intellectual content and revision of the manuscript.

Funding

The authors were grateful to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brazil (CAPES) (Finance Code 001; research grant 23038.000726/2013-43), National Council for Scientific and Technological Development (CNPq) FINEP, FAPEAM, São Paulo State Research Foundation-FAPESP (Research grants 2013/01710-1, 2014/50249-8, and 2014/50244-6), Central Analítica (UFAM), and GSK for the financial support.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fchem.2019.00629/full#supplementary-material

References

AccelrysInc (2016). Discovery Studio Visualizer. V 16.1.0. San Diego, CA: AccelrysInc.

Adams, M., Gmünder, F., and Hamburger, M. (2007). Plants traditionally used in age related brain disorders-a survey of ethnobotanical literature. J. Ethnopharmacol. 113, 363–381. doi: 10.1016/j.jep.2007.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Almasieh, M., MacIntyre, J. N., Pouliot, M., Casanova, C., Vaucher, E., Kelly, M. E., et al. (2013). Acetylcholinesterase inhibition promotes retinal vasoprotection and increases ocular blood flow in experimental glaucoma. Investig. Ophthalmol. Vis. Sci. 54, 3171–3183. doi: 10.1167/iovs.12-11481

PubMed Abstract | CrossRef Full Text | Google Scholar

Almeida, M. E. L., Braz-Filho, R., von Bülow, V., Gottlieb, O. R., and Maia, J. G. S. (1976). Onychine, an alkaloid from Onychopetalum amazonicum. Phytochemistry 15, 1186–1187. doi: 10.1016/0031-9422(76)85134-5

CrossRef Full Text | Google Scholar

Anand, P., and Singh, B. (2013). A review on cholinesterase inhibitors for Alzheimer's disease. Arch. Pharmacal. Res. 36, 375–399. doi: 10.1007/s12272-013-0036-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Andrisano, V., Bartolini, M., Gotti, R., Cavrini, V., and Felix, G. (2001). Determination of inhibitors' potency (IC50) by a direct high-performance liquid chromatographic method on an immobilised acetylcholinesterase column. J. Chromatogr. B 753, 375–383. doi: 10.1016/S0378-4347(00)00571-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Atanasova, M., Stavrakov, G., Philipova, I., Zheleva, D., Yordanov, N., and Doytchinova, I. (2015). Galantamine derivatives with indole moiety: docking, design, synthesis and acetylcholinesterase inhibitory activity. Bioorg. Med. Chem. 23, 5382–5389. doi: 10.1016/j.bmc.2015.07.058

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartolucci, C., Perola, E., Pilger, C., Fels, G., and Lamba, D. (2001). Three-dimensional structure of a complex of galanthamine (Nivalin) with acetylcholinesterase from Torpedo californica: Implications for the design of new anti-Alzheimer drugs. Proteins 42, 182–191. doi: 10.1002/1097-0134(20010201)42:2<182::AID-PROT50>3.0.CO;2-1

PubMed Abstract | CrossRef Full Text | Google Scholar

ChemAxon (2017). MarvinSketch 17.1.2.0. Budapest: ChemAxon.

Chen, J. J., and Yang, Y. S. (2009). Enantioselective total synthesis of (-)-(S)-stepholidine. J. Org. Chem. 74, 9225–9228. doi: 10.1021/jo9020826

CrossRef Full Text | Google Scholar

Copeland, R. A. (2016). The drug-target residence time model: a 10-year retrospective. Nat. Rev. Drug Discov. 15, 87–95. doi: 10.1038/nrd.2015.18

PubMed Abstract | CrossRef Full Text | Google Scholar

Cragg, G. M., Newman, D. J., and Snader, K. M. (1997). Natural products in drug discovery and development. J. Nat. Prod. 60, 52–60. doi: 10.1021/np9604893

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui, L., Wang, Y., Liu, Z., Chen, H., Wang, H., Zhou, X., et al. (2015). Discovering new acetylcholinesterase inhibitors by mining the Buzhongyiqi decoction recipe data. J. Chem. Inform. Model. 55, 2455–2463. doi: 10.1021/acs.jcim.5b00449

PubMed Abstract | CrossRef Full Text | Google Scholar

Deka, P., Kumar, A., Nayak, B. K., and Eloziia, N. (2017). Some plants as a source of acetyl cholinesterase inhibitors: a review. Int. Res. J. Pharm. 8, 5–13. doi: 10.7897/2230-8407.08565

CrossRef Full Text

Dvir, H., Silman, I., Harel, M., Rosenberry, T. L., and Sussman, J. L. (2010). Acetylcholinesterase: from 3D structure to function. Chem. Biol. Interact. 187, 10–22. doi: 10.1016/j.cbi.2010.01.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Ellman, G. L., Courtney, K. D., Andres, V Jr, and Featherstone, R. M. (1961). A new and rapid colorimetric determination of acetylcholinesterase activity. Biochem. Pharmacol. 7, 88–95. doi: 10.1016/0006-2952(61)90145-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, S., Fallarero, A., Järvinen, P., Karlsson, D., Johnson, M. S., Vuorela, P. M., et al. (2011). Discovery of dual binding site acetylcholinesterase inhibitors identified by pharmacophore modeling and sequential virtual screening techniques. Bioorgan. Med. Chem. Lett. 21, 1105–1112. doi: 10.1016/j.bmcl.2010.12.131

PubMed Abstract | CrossRef Full Text | Google Scholar

Hao, J. R., Sun, N., Lei, L., Li, X. Y., Yao, B., Sun, K., et al. (2015). L-Stepholidine rescues memory deficit and synaptic plasticity in models of Alzheimer's disease via activating dopamine D1 receptor/PKA signaling pathway. Cell Death Dis. 6, 1–12 doi: 10.1038/cddis.2015.315

PubMed Abstract | CrossRef Full Text | Google Scholar

Harvey, A. L. (2008). Natural products in drug discovery. Drug Discov. Today 13, 894–901. doi: 10.1016/j.drudis.2008.07.004

CrossRef Full Text | Google Scholar

Högenauer, K., Baumann, K., Enz, A., and Mulzer, J. (2001). Synthesis and acetylcholinesterase inhibition of 5-desamino huperzine A derivatives. Bioorg. Med. Chem. Lett. 11, 2627–2630. doi: 10.1016/S0960-894X(01)00518-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Hostalkova, A., Marikova, J., Opletal, L., Korabecny, J., Hulcova, D., Kunes, J., et al. (2019). Isoquinoline alkaloids from Berberis vulgaris as potential lead compounds for the treatment of Alzheimer's disease. J. Nat. Prod. 82, 239–248. doi: 10.1021/acs.jnatprod.8b00592

PubMed Abstract | CrossRef Full Text | Google Scholar

Houghton, P. J., Ren, Y., and Howes, M. J. (2006). Acetylcholinesterase inhibitors from plants and fungi. Nat. Prod. Rep. 23, 181–199. doi: 10.1039/b508966

PubMed Abstract | CrossRef Full Text | Google Scholar

Karimova, E. R., Spirikhin, L. V., Baltina, L. A., and Abdullin, M. I. (2014). Synthesis and identification of quercetin benzyl ethers. Russ. J. Gen. Chem. 84, 1711–1715. doi: 10.1134/S1070363214090126

CrossRef Full Text | Google Scholar

Kashiwada, Y., Aoshima, A., Ikeshiro, Y., Chen, Y. P., Furukawa, H., Itoigawa, M., et al. (2005). Anti-HIV benzylisoquinoline alkaloids and flavonoids from the leaves of Nelumbo nucifera, and structure-activity correlations with related alkaloids. Bioorg. Med. Chem. 13, 443–448. doi: 10.1016/j.bmc.2004.10.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuck, D., Grützmacher, H. F., Barth, D., Heitkamp, S., and Letzel, M. C. (2011). The role of ion/neutral complexes in the fragmentation of N-benzyl-(alkylpyridinium) ions. Int. J. Mass Spectr. 306, 159–166. doi: 10.1016/j.ijms.2010.10.006

CrossRef Full Text | Google Scholar

Lima, B. R. (2005). Estudo fitoquímico de Onychopetalum amazonicum R. E. Fr. (Annonaceae) (Dissertation/Master's thesis), Federal University of Amazonas, Manaus, Brazil.

Lima, B. R., Silva, F. M. A., Soares, E. R., Almeida, R. A., Silva Filho, F. A., Pereira Junior, R. C., et al. (2016). Chemical composition and antimicrobial activity of the essential oils of Onychopetalum amazonicum RE Fr. Nat. Prod. Res. 30, 2356–2359. doi: 10.1080/14786419.2016.1163691

CrossRef Full Text | Google Scholar

Lima, B. R., Silva, F. M. A., Soares, E. R., Almeida, R. A., Silva-Filho, F. A., Barison, A., et al. (2019). Integrative approach based on leaf spray mass spectrometry, HPLC-DAD-MS/MS, and NMR for comprehensive characterization of isoquinoline-derived alkaloids in leaves of Onychopetalum amazonicum R. E. Fr. J. Braz. Chem. Soc. 1–11. doi: 10.21577/0103-5053.20190125

CrossRef Full Text | Google Scholar

Loizzo, M. R., Tundis, R., Menichini, F., and Menichini, F. (2008). Natural products and their derivatives as cholinesterase inhibitors in the treatment of neurodegenerative disorders: an update. Curr. Med. Chem. 15, 1209–1228. doi: 10.2174/092986708784310422

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, J. J., Bao, J. L., Chen, X. P., Huang, M., and Wang, Y. T. (2012). Alkaloids isolated from natural herbs as the anticancer agents. Evid. Based Complement. Altern. Med. 2012:485042. doi: 10.1155/2012/485042

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantoani, S., Chierrito, T., Vilela, A., Cardoso, C., Martínez, A., and Carvalho, I. (2016). Novel triazole-quinoline derivatives as selective dual binding site acetylcholinesterase inhibitors. Molecules 21:193. doi: 10.3390/molecules21020193

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohamed, T., and Rao, P. P. N. (2010). Design, synthesis and evaluation of 2,4-disubstituted pyrimidines as cholinesterase inhibitors. Bioorgan. Med. Chem. Lett. 20, 3606–3609. doi: 10.1016/j.bmcl.2010.04.108

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohammad, D., Chan, P., Bradley, J., Lanctôt, K., and Herrmann, N. (2017). Acetylcholinesterase inhibitors for treating dementia symptoms–a safety evaluation. Expert Opin. Drug Saf. 16, 1009–1019. doi: 10.1080/14740338.2017.1351540

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, G. M., Huey, R., Lindstrom, W., Sanner, M. F., Belew, R. K., Goodsell, D. S., et al. (2009). AutoDock4 and AutoDockTools4: automated docking with selective receptor flexibility. J. Comput. Chem. 30, 2785–2791. doi: 10.1002/jcc.21256

PubMed Abstract | CrossRef Full Text | Google Scholar

Mukherjee, P. K., Kumar, V., Mal, M., and Houghton, P. J. (2007). Acetylcholinesterase inhibitors from plants. Phytomedicine 14, 289–300. doi: 10.1016/j.phymed.2007.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, A. P., Faraoni, M. B., Castro, M. J., Alza, N. P., and Cavallaro, V. (2013). Natural AChE inhibitors from plants and their contribution to Alzheimer's disease therapy. Curr. Neuropharmacol. 11, 388–413. doi: 10.2174/1570159X11311040004

PubMed Abstract | CrossRef Full Text | Google Scholar

Oliveira, A. N. D., and Amaral, I. L. D. (2004). Floristic and phytosociology of a slope forest in Central Amazonia, Amazonas, Brazil. Acta Amazonica 34, 21–34. doi: 10.1590/S0044-59672004000100004

CrossRef Full Text | Google Scholar

Patel, S. S., Attard, A., Jacobsen, P., and Shergill, S. (2010). Acetylcholinesterase inhibitors (AChEI's) for the treatment of visual hallucinations in schizophrenia: a review of the literature. BMC Psychiatry 10:69. doi: 10.1186/1471-244X-10-69

PubMed Abstract | CrossRef Full Text | Google Scholar

Ribeiro, J. E. L. S., Hopkins, M. J. G., Vicentini, A., Sothers, C. A., Costa, M. A. S., Brito, J. M., et al. (1999). Flora da Reserva Ducke: Guia de Identificação das Plantas Vasculares de uma Floresta de Terra Firme na Amazônia Central. Vol. 1. Manaus: INPA.

Rollinger, J. M., Hornick, A., Langer, T., Stuppner, H., and Prast, H. (2004). Acetylcholinesterase inhibitory activity of scopolin and scopoletin discovered by virtual screening of natural products. J. Med. Chem. 47, 6248–6254. doi: 10.1021/jm049655r

PubMed Abstract | CrossRef Full Text | Google Scholar

Rollinger, J. M., Schuster, D., Danzl, B., Schwaiger, S., Markt, P., Schmidtke, M., et al. (2009). In silico target fishing for rationalized ligand discovery exemplified on constituents of Ruta graveolens. Planta Med. 75, 195–204. doi: 10.1055/s-0028-1088397

PubMed Abstract | CrossRef Full Text | Google Scholar

Sangi, D. P., Monteiro, J. L., Vanzolini, K. L., Cass, Q. B., Paixão, M. W., and Corrêa, A. G. (2014). Microwave-assisted synthesis of N-heterocycles and their evaluation using an acetylcholinesterase immobilized capillary reactor. J. Braz. Chem. Soc. 25, 887–889. doi: 10.5935/0103-5053.20140056

CrossRef Full Text | Google Scholar

Santos, J. O., Pereira, G. R., Brandão, G. C., Borgati, T. F., Arantes, L. M., Paula, R. C., et al. (2016). Synthesis, in vitro antimalarial activity and in silico studies of hybrid kauranoid 1,2,3-triazoles derived from naturally occurring diterpenes. J. Braz. Chem. Soc. 27, 551–565. doi: 10.5935/0103-5053.20150287

CrossRef Full Text | Google Scholar

Seidl, C., Vilela, A. F. L., Lima, J. M., Leme, G. M., and Cardoso, C. L. (2019). A novel on-flow mass spectrometry-based dual enzyme assay. Anal. Chim. Acta 1072, 81–86. doi: 10.1016/j.aca.2019.04.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Silva, F. M. A., Lima, B. R., Soares, E. R., Almeida, R. A., Silva Filho, F. A., Corrêa, W. R., et al. (2015). Polycarpol in Unonopsis, Bocageopsis and Onychopetalum Amazonian species: chemosystematical implications and antimicrobial evaluation. Rev. Brasil. Farmacog. 25, 11–15. doi: 10.1016/j.bjp.2015.01.003

CrossRef Full Text | Google Scholar

Soares, E. R., Silva, F. M., Almeida, R. A., Lima, B. R., Silva-Filho, F. A., Barison, A., et al. (2015). Direct infusion ESI-IT-MSn alkaloid profile and isolation of tetrahydroharman and other alkaloids from Bocageopsis pleiosperma Maas (Annonaceae). Phytochem. Anal. 26, 339–345. doi: 10.1002/pca.2568

PubMed Abstract | CrossRef Full Text | Google Scholar

Stewart, J. J. (2013). Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters. J. Mol. Model. 19, 1–32. doi: 10.1007/s00894-012-1667-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Stewart, J. J. (2016). Stewart Computational Chemistry. Colorado Springs, CO. Available online at: http://OpenMOPAC.net

Torres, F. C., Gonçalves, G. A., Vanzolini, K. L., Merlo, A. A., Gauer, B., Holzschuh, M., et al. (2016). Combining the pharmacophore features of coumarins and 1,4-substituted 1,2,3-triazoles to design new acetylcholinesterase inhibitors: fast and easy generation of 4-methylcoumarins/1,2,3-triazoles conjugates via click chemistry. J. Braz. Chem. Soc. 27, 1541–1550. doi: 10.5935/0103-5053.20160033

CrossRef Full Text | Google Scholar

Trott, O., and Olson, A. J. (2010). AutoDockVina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31, 455–461. doi: 10.1002/jcc.21334

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsai, S. F., and Lee, S. S. (2010). Characterization of acetylcholinesterase inhibitory constituents from Annona glabra assisted by HPLC microfractionation. J. Nat. Prod. 73, 1632–1635. doi: 10.1021/np100247r

PubMed Abstract | CrossRef Full Text | Google Scholar

Vanzolini, K. L., Vieira, L. C., Corrêa, A. G., Cardoso, C. L., and Cass, Q. B. (2013). Acetylcholinesterase immobilized capillary reactors-tandem mass spectrometry: an on-flow tool for ligand screening. J. Med. Chem. 56, 2038–2044. doi: 10.1021/jm301732a

PubMed Abstract | CrossRef Full Text | Google Scholar

Vilela, A. F. L., Silva, J. I., Vieira, L. C. C., Bernasconi, G. C., Corrêa, A. G., Cass, Q. B., et al. (2014). Immobilized cholinesterases capillary reactors on-flow screening of selective inhibitors. J. Chromatogr. B 968, 87–93. doi: 10.1016/j.jchromb.2013.11.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamamoto, Y., Ishihara, Y., and Kuntz, I. D. (1994). Docking analysis of a series of benzylamino acetylcholinesterase inhibitors with a phthalimide, benzoyl, or indanone moiety. J. Med. Chem. 37, 3141–3153. doi: 10.1021/jm00045a020

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, K., Jin, G., and Wu, J. (2007). The neuropharmacology of (-)-stepholidine and its potential applications. Curr. Neuropharmacol. 5, 289–294. doi: 10.2174/13701590778279649

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: bioaffinity chromatography, molecular docking, on-flow assay, Onychopetalum amazonicum, stepholidine derivatives

Citation: de Lima BR, Lima JM, Maciel JB, Valentim CQ, Nunomura RdCS, Lima ES, Koolen HHF, de Souza ADL, Pinheiro MLB, Cass QB and da Silva FMA (2019) Synthesis and Inhibition Evaluation of New Benzyltetrahydroprotoberberine Alkaloids Designed as Acetylcholinesterase Inhibitors. Front. Chem. 7:629. doi: 10.3389/fchem.2019.00629

Received: 06 July 2019; Accepted: 02 September 2019;
Published: 18 September 2019.

Edited by:

Shusheng Zhang, Linyi University, China

Reviewed by:

Benjamin L. Oyler, United States Food and Drug Administration, United States
Aihua Liu, Qingdao University, China

Copyright © 2019 de Lima, Lima, Maciel, Valentim, Nunomura, Lima, Koolen, de Souza, Pinheiro, Cass and da Silva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Quezia B. Cass, cWNhc3MmI3gwMDA0MDt1ZnNjYXIuYnI=; Felipe Moura A. da Silva, ZmVsaXBlbWFzJiN4MDAwNDA7dWZhbS5lZHUuYnI=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.