Literature DB >> 35696112

A rapid strategy for screening high-efficiency PCSK9 inhibitors from Ginkgo biloba leaves by ligand fishing, HPLC-Q-TOF-MS and interdisciplinary assay.

Li Li1,2, Meng-Lin Fan1, Ya-Nan Li1, Ya-Xuan Huang1, Xiu-Feng Liu1, Ji-Hua Liu1,3.   

Abstract

Proprotein convertase subtilisin/kexin type 9 (PCSK9) is an attractive target for new cholesterol-lowering drug development. Here, we developed a method integrating ligand fishing, HPLC-Q-TOF-MS and interdisciplinary assay, aiming to explore potential PCSK9 inhibitors from mixtures rapidly and accurately. PCSK9 was expressed and purified firstly, and then the recombined PCSK9 was coated on the surface of magnetic beads (MBs). The PCSK9-immobilized MBs (PCSK9-MBs) were used for ligand fishing combined with HPLC and Q-TOF-MS/MS. Ginkgo biloba leaves (GBL), an herbal medicine widely used in Asia and Europe with good efficacy in treatment of hypercholesterolemia, were chosen as an illustration for ligand fishing. Two PCSK9 ligands were discovered from GBL and identified as kaempferol-3-O-rutinoside (1) and kaempferol 3-O-26″-(6‴-p-coumaroyl) glucosylrhamnoside (KCGR) (2). In order to verify fishing results and pick out more powerful PCSK9 inhibitors, molecular docking assay was further performed and KCGR was optimized to be an excellent PCSK9 inhibitor by the confirmation of affinity and activity bioassay. These results suggested that the developed approach could be applied to screen and analysis potential bioactive constituents from mixtures, which may improve the efficiency of drug discovery. Moreover, KCGR separated from GBL was expected to be a potential candidate of PCSK9 inhibitors.

Entities:  

Year:  2020        PMID: 35696112      PMCID: PMC9261853          DOI: 10.38212/2224-6614.1061

Source DB:  PubMed          Journal:  J Food Drug Anal            Impact factor:   6.157


1. Introduction

The hyperlipidemia is one of the risk factors for cardiovascular disease, coronary atherosclerosis and stroke [1], causing prominent global adult mortality. Currently, statin drugs were the preferred choices for treating hyperlipidemia [2]. However, some patients suffered from familial hypercholesterolemia (FH) did not achieve the desired therapeutic effect even at maximal statin dose [3,4]. The low-density lipoprotein receptor (LDLR), which is expressed on the membrane surface of hepatocytes, can bind to the low-density lipoprotein cholesterol (LDL-C) [5]. Then, the complex of the LDLR/LDL-C collectively internalizes, after which the LDL-C is released and degraded into lipids and amino acids. Whereafter, LDLR retures to the cell surface, which is known as the recycling of LDLR [6]. However, the proprotein convertase subtilisin/kexin type 9 (PCSK9) can couple with the cell-surface LDLR and prevents its recycling, which promotes the degradation of LDLR, and consequently causing raised levels of plasma LDL-C in the patients with FH [7,8]. Many researches have indicated that PCSK9 inhibitors could efficiently decrease the plasma level of LDL-C by interrupting the protein–protein interaction of PCSK9/LDLR [5]. Therefore, searching for PCSK9 inhibitors would be a new and imperative therapy for the development of cholesterol-lowing drugs. Although three PCSK9 antibody-drugs have been approved [9,10], the high cost and low compliance of antibody- drugs still caused the patients distressed. Considering lower cost and ease of administration, oral PCSK9 inhibitors have been an alternative therapy desirable for development. Ginkgo biloba leaves (GBL) agents are the most widely used herbal supplements in recent years [11,12]. Previous studies have indicated that GBL had significantly lipid-regulating effects on hyperlipidemia [13-15]. However, the mechanism of the interaction between GBL and PCSK9, as well as the main active compounds of GBL contributing to the hypolipidemic effects remained unclear. Taking advantages of good selectivity and high efficiency, several affinity-based strategies such as cell membrane chromatography [16], affinity ultrafiltration [17,18] and molecular docking [19], have been frequently applied for screening bioactive compounds in herbal medicines. Ligand fishing is a well-developed affinity-based method in which ligands can be separated from unbound components in mixtures by selective binding to target enzymes or receptors. In consideration of preservation for protein activity and convenience in operating, magnetic beads (MBs) have been extensively served as solid supports for ligand fishing. Up to now, several researches have been reported to use enzyme/protein immobilized MBs to identify active compounds from the herbal medicines, such as inhibitors of ACE [20] and α-glucosidase [21]. However, to the best of our knowledge, magnetic fishing-LC-MS (MF-LC-MS) method has not been reported for seeking PCSK9 ligands in herbal medicines or other complex mixtures. In this study, a fishing strategy was established integrating MF-LC-MS and multidisciplinary activity detection to rapidly screen compounds for inhibiting PCSK9 from a complex natural extract (as shown in Fig. 1). PCSK9 was primarily immobilized onto the surface of MBs. MBs immobilized with PCSK9 (PCSK9-MBs) were then incubated with natural extracts to catch the potential PCSK9 ligands. Then, the unbound components were abandoned by magnetic separation and washing. The ligand-target complexes were obtained, and the bound components could be dissociated from the target by adding organic denature reagents. The dissociated components were analyzed by LC/MS. The interaction between PCSK9 and the potential ligands would be rapidly predicted by molecular docking to eliminate non-specific binding in the fishing period. Moreover, cell assays combined with bio-layer interferometry (BLI) binding assays were further conducted to find out potential inhibitors of the PCSK9 from the above ligands. The feasibility of this method was evaluated by a famous herbal medicine GBL for screening potential PCSK9 inhibitors.
Fig. 1

The schematic diagram of the strategy for screening PCSK9 inhibitors from herbal medicines based on ligand fishing integrated interdisciplinary assay.

2. Methods

2.1. Apparatus, chemicals and reagents

The Ginkgo biloba leaves (GBL) were purchased from Tong Ren Tang Industrial Corporation (Nanjing, China). The Ginkgo biloba leaves (GBL) were dried, powdered. Voucher specimens of GBL were identified and stored at 4 °C in Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University. The reference standard of kaempferol-3-O-rutinoside was provided by Chengdu Herbpurify Co., Ltd (Chengdu, China). Formic acid of HPLC grade was purchased from Aladdin Industrial Corporation (Shanghai, China). Water was prepared by Milli-Q water purification system (Millipore, Bedford, United States). Methanol and acetonitrile (ACN) of HPLC grade were provided by Merck Company Inc. (Darmstadt, Germany). All other chemicals and solvents were of analytical grade. Plasmid isolation and DNA purification kits were purchased from Transgene (Beijing, China). Isopropylthio- β-d-galactopyranoside (IPTG) was provided by Invitrogen (Beijing, China). Ni-NTA affinity resin was provided by Beyotime (Nanjing, China). Amicon Ultra Centrifugal Filter Units (30 kDa) were provided by Millipore (Bedford, United States).

2.2. Preparation of PCSK9 coated magnetic beads

The preparation of PCSK9-MBs was carried out according to our previous study with some alterations [22]. The human PCSK9 gene (152–692) was codon-optimized to permit bacterial expression, and the final PCSK9 sequence was inserted into a pET22b vector with the NdeI and XhoI sites, followed by transformation into Escherichia coli BL21 (DE3). Whereafter, the cells were incubated in TB medium supplemented with 50 μg/mL ampicillin at 37 °C. The recombinant protein expression was induced by 0.1 mM IPTG and incubated at 20 °C overnight. The cells were centrifuged at 4000×g for 10 min, and resuspended in 50 mM sodium phosphate (pH 8.0)/0.3 M NaCl. The cell pellets were lysed by ultrasonication. After centrifuged, the lysate containing recombinant PCSK9 was obtained. Then, the lysate solution was flowed through a Ni-NTA resin column to purify the PCSK9 protein with a hexahistidine-tag (His-PCSK9), and the His- PCSK9 eluent was concentrated by ultrafiltration to 0.5 mg/mL. All protein purification steps were conducted at 4 °C as quickly as possible. Whereafter, we chose Ni magnetic beads to link PCSK9 by the chelate action between Ni2+ and the His-tag. The Ni beads (~10 mg) was mixed with 1 mL PCSK9 solution (50 μg/mL), and then rotated together in a stirring mixer for 1 h at room temperature. Then, the PCSK9-MBs were separated by magnetism and rinsed by 100 μL wash buffer (20 mM Sodium Phosphate, 500 mM NaCl, pH 7.4) to exclude the non-specific adsorption. The PCSK9-MBs were stored in PBS at 4 °C for the next experiments. The stability of PCSK9-MBs within 72 h was evaluated.

2.3. Optimization conditions for ligand screening

The preparation of the PCSK9-MBs was as the above. To optimize the screening conditions, we selected the SBC-115076, a PCSK9 inhibitor, as the model drug [22]. The PCSK9-MBs (100 μL) were incubated with SBC-115076 (1 μL, 100 mM) in PBS for a period to enable the ligand (SBC-115076) to bound to the PCSK9, and then the ligand-PCSK9- MBs complexes were obtained by magnetic separation. The amount of SBC-115076 on the PCSK9- MBs could be dissociated by adding 200 μL methanol, followed by analysis by HPLC-MS. In this process, three parameters were optimized to obtain the appropriate screening conditions. Different ionic strength (10, 25, 50, 75, and 100 mM) of PBS, incubation temperature (4, 16, 25, and 37 °C) and incubation time (0.5, 1, 2, 4, and 8 h) were evaluated.

2.4. Screening potential PCSK9 ligands from Ginkgo biloba leaves by LC/MS

Ginkgobiloba leaves (GBL) were milled to powder. 1 g powdered GBL was ultrasonic extracted in 50mL 75% v/v methanol twice for 1 h, and then filtered. The extracts of GBL were vacuum-evaporated to dryness and dissolved with 1 mL dimethyl sulfoxide (DMSO) to form the test solution. The test solution were store at −20 °C. After the PCSK9-MBs were prepared, the following process of ligand fishing consists of four steps: ligand adsorption, magnetic separation, ligand elution, and characterization. The procedure of ligand screening was conducted as the described above (Fig. 1). PCSK9- MBs (100 μL) was incubated with the extract of GBL (1 μL) in the PBS (200 μL, 75 mM, pH 7.4) for 2 h, and then conducted magnetic separation. The obtained ligand-PCSK9-MBs complexes were added 200 μL methanol, shaked, filtered, and followed by analysis by HPLC-MS. Experiments were also set to use beads coating the denatured PCSK9 which were boiled in water for 10 min. A blank control only incubated of PCSK9-MBs without the addition of GBL was conducted. The ligands would be captured by the ligand fishing and identified by HPLC-MS/MS. HPLC-Q-TOF-MS/MS was performed on an Agilent 1260 series HPLC system coupled with an Agilent 6530 Q-TOF mass spectrometer equipped with an electrospray ionization (ESI) source. An Agilent ZORBAX SB-C18 column (4.6 mm −250 mm, 5 μm) was used for sample separation. The flow rate was 0.8 mL/min, and the column temperature was maintained at 35 °C. The mobile phase was water-formic acid (100:0.1, A) and acetonitrile (B) using a gradient elution program of 0–20 min, 10%–30% B; 20–45 min, 30%–70% B; 45–52 min, 70%–95% B; 52–55 min, 95–95% B. The detection wavelengths were 203 nm, 254 nm, 280 nm, 310 nm, and 365 nm. The sample volume injected was 20 μL. The ESI-MS acquisition conditions were in negative modes set as follows: The mass range was scanned from m/z 100–1500 with collision energy (CE) from 10 eV to 50 eV N2 flow rate was set as 10.0 L/min at 350 °C; nebulizer pressure at 35 psig; capillary voltage at 3500 V; OCT RFV at 750 V; and fragmentor voltage at 120 V. The TOF mass spectrometer was calibrated every day before sample analysis for guaranteeing mass accuracy. The data acquisition and analysis were controlled by Agilent Mass Hunter Workstation software version B.07.00.

2.5. Molecular docking

To rapidly predict the potential ability of ligands above, molecular docking of the ligand-target interaction was conducted with the Molecular Operating Environment (MOE.2009.10) software. The protein structure of PCSK9 was downloaded from the Protein Data Bank (PDB code: 3gcx). The compounds were drawn and protonated in MOE, and the three-dimensional structure of PCSK9 was removed the ligands, water molecules, and metal ions before docking. The compounds were docked into the binding sites of the PCSK9 respectively after the energy was minimized. The poses of molecules were obtained and scored using ASE scoring function.

2.6. Cell culture

HepG2 cells (ATCC) were grown in DMEM supplemented with 10% (v/v) FBS, streptomycin (50 g/mL), l-glutamine (2 mM) and penicillin (50 U/mL). HepG2 cells were incubated in six multi-well plates for 12 h at 37 °C. For different treatments, cells were divided into four groups. Before the addition to cells, ligands at different concentrations (0, 0.5, 1.5, 5.0 μM) were incubated with PCSK9 (15 μg/mL) for 30 min in the presence of 0.5% DMSO. Then, the cells above were incubated for 24 h.

2.7. Western blot analysis of cell LDL receptor

Cells were lysed with RIPA lysis buffer and proteins were harvested. Total cell protein extracts were separated by 8% SDS-PAGE gel, and then transferred onto 0.22 μm PVDF membranes (Millipore). The protein on PVDF membranes were blocked with 5% BSA-TBST at room temperature for 2 h. Then, the PVDF membranes were incubated with anti-LDLR (1:4000; abcam) and anti-GAPDH (1:4000; Sigma) antibodies at 4 °C overnight, respectively. After washed three times with TBST, the membranes were then incubated with HRP-conjugated anti-rabbit IgG (1:4000; Cell Signaling Technology) for 2 h at room temperature. The immunoreactive bands were detected using ECL reagents by Bio-rad Gel Imaging System. The protein was quantified based on the intensity of bands by the Image Lab analysis software and normalized to the internal protein GAPDH. All experiments were performed in triplicate.

2.8. Bio-layer interferometry binding assays

Binding kinetics of the ligand-PCSK9 interaction were determined by the bio-layer interferometry (BLI) method. All experiments were conducted in PBS buffers (pH 7.4) using Octet RED96 system (FortéBio) at 25 °C. His-PCSK9 was immobilized onto Ni-NTA biosensors, and then the protein-coated biosensors were used to measure the process of association and dissociation with a time window of 300 and 180 s, respectively. There were two control tests measured in parallel for double referencing corrections: protein-coated biosensors alone, and uncoated biosensors with compounds at corresponding concentrations. The binding constants were calculated by subtracted binding interference data with the FortéBio analysis software.

2.9. Statistical analysis

All experiments were performed in triplicate. Statistical analysis was performed using GraphPad Prism 6.0 Software (San Diego, CA, USA). Data are presented as the mean ± SEM. Group comparisons were assessed with the two-tailed Student’s t-test or ANOVA with Bonferroni’s post hoc test for comparison of multiple columns. A value of P < 0.05 was considered as statistically significant.

3. Results and discussion

3.1. Preparation and characterization of the PCSK9-MBs

The main function of secreted PCSK9 is inducing the degradation of LDLR. The catalytic domain and the C-terminal domain of PCSK9 are two important domains for the PCSK9/LDLR interaction, leading to the degradation pathway of LDLR [23-26]. Considering the bioactive function of reconstituted His-PCSK9, the catalytic domain and C-terminal domain of human PCSK9 were selected to be expressed as targets for ligands fishing. As our previous study [22], the protein (His-PCSK9) was expressed and purified with a hexahistidine tag at the N-terminus (Fig. S1). The purified His-PCSK9 had the characterization for inducing LDLR degradation, which indicated that reconstituted His- PCSK9 maintained the bioactive function of the prototype PCSK9 (Fig. S2). Then, the His-PCSK9 were coupled to the magnetic beads as described above, and the preparation procedures of PCSK9-MBs were repeatable. PCSK9-MBs could remain more than 72 h (Table S1).

3.2. Optimization of ligand fishing conditions

The ligand fishing method based on PCSK9- MBs, was verified and optimized using one known compound, SBC-115076, which was the positive inhibitor of PCSK9. To guarantee the appropriate screening conditions of the active components in mixtures, three important parameters were optimized, including incubation time, incubation temperature and PBS ionic strength [27]. Incubation times between 0.5 and 8 h were tested using SBC-115076 (Fig. 2A). With excess SBC-115076, 2 h was the appropriate time for the ligands–protein interaction. Incubating for a long time may cause the denaturation of PCSK9 or disassembly of PCSK9 MBs, leading to lower binding degrees. Considering the properity of PCSK9 and the stability of PCSK9-MBs, the incubation pH was chosen as the normal physiological the pH 7.4. 25 °C was demonstrated as the most suitable temperature for the ligand binding (Fig. 2B). The ionic strength of the binding buffer may impact on the charge distribution on the protein surfaces. As shown in Fig. 2C, the proper ionic strength was 75 mM. With the increase of the ion strength, the concentration of ions was exceeded, which might reverse the effect of ions, resulting in lower binding degrees. From the above, the parameters were optimized as follows: incubation at 25 °C for 2 h, and ionic concentration 75 mM (pH 7.4).
Fig. 2

The parameter optimization of the incubation time (A), temperature (B) and ionic strength of PBS (C) on the binding properties of ligands to PCSK9. SBC-115076 was the model compound.

3.3. PCSK9 ligand fishing of Ginkgo biloba leaves and HPLC-Q-TOF-MS/MS analysis

According to the optimized conditions above, we screened the potential ligands of PCSK9 from GBL using HPLC-Q-TOF-MS/MS. The chromatograms of screening results were shown in Fig. 3. Compared with HPLC spectrums at different wavelengths, we chose 280 nm as the detection wavelength, which may reveal the difference between the peak areas with and without the PCSK9 incubation more distinct and undisturbed. The UV peak areas of two components were demonstrated to be significantly higher in the group incubated with PCSK9-MBs than the control group. Based on our strategy, these two components were regarded as the major potential ligands binding to the PCSK9, which were considered to apply for follow-up study. The affinity compounds were subsequently identified exactly by comparing with standards and published data. Considering that the intensities of negative ion signals exhibited higher than that of positive ion signals, we selected the negative ion mode for MS assay. The HPLC and MS data of two compounds (1 and 2) were listed in Table 1.
Fig. 3

(A) The comparison HPLC chromatograms of the PCSK9 ligand fishing in the Ginkgo biloba leaves (GBL) at 280 nm. (a) represents the HPLC profile of the extract of GBL; (b) represents the HPLC profile when the GBL incubated with active PCSK9-MBs; (c) represents HPLC profile when the GBL incubated with inactive PCSK9-MBs; (d) represents the HPLC profile of the blank control which was only incubated of PCSK9-MBs without the addition of GBL. The screened ligands are labeled above the peaks with numbers. (B) Chemical structures of fished compounds 1 and 2, which were kaempferol-3-O-rutinoside and kaempferol 3-O-2″-(6‴-p-coumaroyl) glucosylrhamnoside (KCGR), respectively.

Table 1

Retention times, UV absorption maxima and MS data of affinity compounds on PCSK9 from Ginkgo biloba leaves by HPLC-MS/MS.

Peak NO.RT (min)UVmax (nm)[M–H]-FragmentFormulaIdentification

m/z Cal m/zDiff (ppm)
119.908266, 344593.1505593.15121.17285.0397,151.0017C27H30O15Kaempferol 3-O-2″-glucosylrhamnoside[a]
223.627266, 316739.1889739.1880−1.25593.1510,413.0890, 284.0328,145.0290C36H36O17Kaempferol 3-O-2″-(6‴-p-coumaroyl) glucosylrhamnoside

Compared with standard compounds.

For Compound 1, it was identified as kaempferol-3-O-rutinoside by compared with the standard compound (Fig. S3). The formula of compound 1 was calculated as C27H30O15 based on the molecular ion at m/z 593.1505. The negative mode MS/MS product ions m/z 447 and 285 were assigned as [M-H-Rutinose]− and [M-H-Rutinose-glu]−. The other fragment ions were at m/z 327 ([M-H-Rutinose-C4H8O4]−) and m/z 255 ([M-H-Rutinoseglu–CO–H2]−). The fragment ions m/z 285 could further produce ion m/z 151 by the retro-Diels–Alder (RDA) reaction. The formula of compound 2 was calculated as C36H36O17 based on the molecular ion at m/z 739.1889. In the MS/MS spectra, fragment ions at m/z 593 and 284 were produced by successive neutral losses of 146 Da (Coumaroyl) and 308 Da (rha + glu) (Fig. S4). The other fragment ions were at m/z 255 ([M-H-Coumaroyl-rhaglu–CO–H2]−) and m/z 145 ([Coumaroyl-H]−). Compound 2 was subsequently isolated and purified (Fig. S5), and determined with NMR (Fig. S6). By comparing the HPLC-MS/MS and NMR data with the reference [28], compound 2 was identified to be kaempferol 3-O-2″-(6‴-p-coumaroyl) glucosylrhamnoside (KCGR). The chemical structures of compound 1 and 2 were shown in Fig. 3B. They are both classified into flavonoid compounds. According to the previous study, the amount of compound 1 and 2 present in the extract of Ginkgo biloba leaves were 13.08–15.06 mg/g and 20.12–25.21 mg/g, respectively [29].

3.4. Molecular docking

Parallel assays by setting the control group could be applied to eliminate the false positive, but the repeated operation was indubitably inefficient. The molecular docking was promised to be alternated for excluding the non-specific affinity. Thus, we used the molecular docking assay to predict binding sites and potential activity of two possible ligands, which may contribute to seeking out the potential inhibitors of the PCSK9 rapidly. The results were evaluated according to the docking poses and the ligand–protein interactions [30]. The binding energies and affinity of ligands to PCSK9 were summarized in Table 2.
Table 2

The binding energies and affinity of PCSK9 ligands by molecular docking assay.

NameBinding energies (kcal/mol)Affinity (pKi)
SBC-115076−10.00545.83
1−13.66145.07
2−14.43426.68
In consideration of binding energy and affinity, KCGR (compound 2) was preferred with significantly lower binding energy (−14.4342 kcal/mol) and higher affinity (6.68 pKi) than the positive control SBC-115076 (−10.0054 kcal/mol, 5.83 pKi). The protein-ligand interaction between KCGR and the PCSK9 were presented in Fig. 4. Four hydrogen bonding were formed between KCGR (compound 2) and PCSK9 at the Asp 374, Ser 372 and Ser 221 (Fig. 4B). Besides, the other compound (compound 1) was also predicted to have certain interactions with PCSK9, such as Phe 379 and Thr 377 (Fig. S7), but its binding affinity was relatively inferior to that of KCGR and SBC-115076, which might possess slightly weak activity. The previous research has reported that the structures of kaempferol and p-coumaric acid might contribute to the PCSK9 inhibition [31], which was consistent with our research. Moreover, our study further investigated and clarified the interaction between ligands and PCSK9.
Fig. 4

The Spatial (A) and two-dimension (B) structures of the microenvironment interaction between KCGR and PCSK9 (PDB: 3gcx) generated with MOE. The atom colors of the KCGR and the residues of PCSK9 were grey and green, respectively.

From the above, with molecular docking, compounds 2 beared significant protein affinity. However, molecular docking assay is a virtual approach to predict the affinity between ligands and the target, so the activities of ligands were still needed to be confirmed by activity assays, which could also validate the established method.

3.5. PCSK9 inhibitory activity of affinity fishing compounds

The results of cell assay indicated that both compounds 1 (IC50 = 0.4993 μM) and 2 (IC50 = 0.1837 μM) could suppress the PCSK9-induced LDLR degradation in HepG2 cells in a concentration-dependent manner (Fig. 5). At the tested concentration of 5 μM, the expression of LDLR in the group incubated with compound 1 could restore to about 90% of control levels (Fig. 5B). Fortunately, compound 2 demonstrated higher activity than that of compound 1. The LDLR levels in the group incubated with compound 2 were restored and reached higher than that in the control group at the concentration of 5 μM (Fig. 5C). Compound 2 also showed the prominent inhibitory activity better than that of positive control SBC-115076 (Fig. 5A), which reminded that it deserved further studied as the potential drug candidate. Kaempferol glycosides are very common natural products from plants, which were widely studied for their ability on improvement of the LDLR expression. The related study has reported that kaempferol could stimulate gene expression of LDLR through activation of Sp1 in cultured hepatocytes [32]. Besides this, a new mechanism might be proposed in our study about the kaempferol glycosides which could interact with PCSK9 for increasing the expression of LDLR.
Fig. 5

The inhibitory activities of the fished compounds on PCSK9. The potency of SBC-115076 (A), compound 1 (B) and compound 2 (C) for restoring LDLR levels on the PCSK9-treated HepG2 cells. The expression levels of LDLR on HepG2 cells were semiquantitated by Western blot assay. The values are the mean ± SEM deviation of the three independent experiments. #p < 0.05; ##p < 0.01; compared with the control group, *p < 0.05; **p < 0.01, compared with the PCSK9 group. (D). The BLI sensogram showing the process of association and dissociation at different concentrations (0, 50, 100, and 200 μM) for the interaction of compound 2 (KCGR) with PCSK9.

Binding thermodynamic and kinetics have deemed as important design parameters for inhibitors. Therein, slow binding off-rates were considered to be related to improved inhibitor efficacies due to prolonged effects on the target in vivo [33]. So, we further detected the kinetic aspects of the compound 2 (KCGR) interacted with PCSK9 using bio-layer interferometry (BLI) analysis. BLI experiments were conducted at pH 7.4 and the KD values for KCGR was obtained. Interestingly, we observed slow dissociation rates of KCGR when binding to PCSK9 (Fig. 5D). Commonly, slower kinetics has been considered as a characteristic of some type-II allosteric inhibitors possibly due to kinetic constrains of the necessary structural rearrangements [34,35], resulting in KD values in the low nanomolar range (KD = 15 nM). The low KD value reminder that compound 2 (KCGR) could be considered as a candidate PCSK9 inhibitor for the pharmaceutical development.

4. Conclusions

In conclusion, an effective strategy integrating ligand fishing, molecular docking, binding assay and inhibitory activity assay was developed for screening PCSK9 inhibitors from GBL, which was demonstrated to be valid and practicable. On the basis of our strategy, two compounds were fished out from GBL, including kaempferol 3-O-2″-glucosylrhamnoside (compound 1) and kaempferol 3-O-2″-(6‴-p-coumaroyl) glucosylrhamnoside (KCGR, compound 2). KCGR was determined to exhibit significant inhibitory activity against PCSK9. Our study provides the basis for further exploration of active compounds from GBL in the intervention and prevention of the PCSK9-related diseases for future clinical use. Moreover, with the properties of targeted screening and accurate analysis, this strategy is supposed to be further served for an extended range to rapidly screen active ingredients from mixtures, which will expedite the efficiency of drug discovery.
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