1559 viruses Viruses Viruses Multidisciplinary Digital Publishing Institute (MDPI) PMC10974312 10974312 10974312 38543796 10.3390/v16030431 Development of Glycyrrhizinic Acid-Based Lipid Nanoparticle (LNP-GA) as An Adjuvant That Improves the Immune Response to Porcine Epidemic Diarrhea Virus Spike Recombinant Protein García-Cambrón José Bryan Methodology, Formal analysis, Investigation, Writing – original draft 1 Cerriteño-Sánchez José Luis Conceptualization, Methodology, Validation, Formal analysis 2 * Lara-Romero Rocío Methodology, Investigation, Data curation, Writing – review & editing 3 Quintanar-Guerrero David Conceptualization, Methodology, Validation 4 Blancas-Flores Gerardo Methodology, Validation, Visualization 5 Sánchez-Gaytán Brenda L Conceptualization, Methodology, Formal analysis, Investigation 6 Herrera-Camacho Irma Validation, Formal analysis, Visualization, Supervision 7 Cuevas-Romero Julieta Sandra Conceptualization, Writing – review & editing, Supervision, Project administration, Funding acquisition 2 * Cao Yongchang Academic Editor Crisci Elisa Academic Editor 1 Programa de Doctorado en Biología Experimental, Universidad Autónoma Metropolitana, Iztapalapa, Ciudad de México 09089, Mexico; tlcbioexp@gmail.com 2 Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias, Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Cuajimalpa, Ciudad de México 05110, Mexico 3 Programa de Estancia Posdoctoral, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; chio_lrp@yahoo.com.mx 4 División de Estudios de Posgrado (Tecnología Farmacéutica), Facultad de Estudios Superiores, Universidad Nacional Autónoma de México, Cuautitlán Izcalli, Estado de México 54740, Mexico; quintana@unam.mx 5 Laboratorio de Farmacología, División de Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Iztapalapa, Ciudad de México 09089, Mexico; gera@xanum.uam.mx 6 Centro de Química ICUAP, Laboratorio de Bioinorgánica Aplicada, Benemérita Universidad Autónoma de Puebla, Puebla 72592, Mexico; brenda.sanchez@viep.com.mx 7 Centro de Química ICUAP, Laboratorio de Bioquímica y Biología Molecular, Edificio IC7, Benemérita Universidad Autónoma de Puebla, Puebla 72592, Mexico; irma.herrera@correo.buap.mx * Correspondence: cerriteno.jose@inifap.gob.mx (J.S.C.-R.); cuevas.julieta@inifap.gob.mx (J.L.C.-S.); Tel.: +52-(55)-3871-8700 (ext. 80312) (J.S.C.-R.) 11 3 2024 16 3 431 431 28 3 2024 © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/ ). Abstract Porcine epidemic diarrhea virus (PEDV) has affected the pork industry worldwide and during outbreaks the mortality of piglets has reached 100%. Lipid nanocarriers are commonly used in the development of immunostimulatory particles due to their biocompatibility and slow-release delivery properties. In this study, we developed a lipid nanoparticle (LNP) complex based on glycyrrhizinic acid (GA) and tested its efficacy as an adjuvant in mice immunized with the recombinant N-terminal domain (NTD) of porcine epidemic diarrhea virus (PEDV) spike (S) protein (rNTD-S). The dispersion stability analysis (Z-potential −27.6 mV) confirmed the size and charge stability of the LNP-GA, demonstrating that the particles were homogeneously dispersed and strongly anionic, which favors nanoparticles binding with the rNTD-S protein, which showed a slightly positive charge (2.11 mV) by in silico analysis. TEM image of LNP-GA revealed nanostructures with a spherical-bilayer lipid vesicle (~100 nm). The immunogenicity of the LNP-GA-rNTD-S complex induced an efficient humoral response 14 days after the first immunization ( p < 0.05) as well as an influence on the cellular immune response by decreasing serum TNF-α and IL-1β concentrations, which was associated with an anti-inflammatory effect. Keywords: porcine epidemic diarrhea virus, lipid nanoparticle, recombinant protein, immune response status released display-pdf yes is-olf no is-manuscript no is-preprint no is-journal-matter no is-scanned no is-retracted no Received 2024 Jan 10; Revised 2024 Mar 3; Accepted 2024 Mar 7; Collection date 2024 Mar. 1. Introduction Porcine epidemic diarrhea virus (PEDV), a member of the Alphacoronavirus family, causes an important viral disease characterized by acute diarrhea, vomiting, dehydration, and high mortality in neonatal piglets, leading to significant economic losses in the swine industry [ 1 ]. The virus genome size is 28 kb approximately, it contains two non-coding regions (UTR) located at the 5′ and 3′ terminals, four structural proteins: spike (S), membrane (M), envelope (E), and nucleocapsid (N) proteins as well as ORF1a and ORF1b encoding 14–16 non-structural proteins, and ORF3 encodes an accessory protein [ 2 , 3 ]. The PEDV S protein plays an important role in pathogenesis, mainly in the interaction between the virus and cell membrane (via the S1 subunit) and subsequent virus internalization in the cell (via the S2 subunit) [ 4 ]. Previous studies have suggested that the N-terminal domain (NTD) of the S protein has a sugar-binding ability and aids in host receptor binding of PEDV, indicating that the NTD S1 domain may have the potential to be used as a subunit vaccine against PEDV variant strains, due to a potential Ag-specific IgG2a induction [ 5 , 6 ]. In addition, this NTD is a promising candidate antigen for the development of diagnostic tests for PEDV infections [ 7 , 8 ]. In recent years, there has been great interest in the development of immunostimulatory particles as slow antigen release systems [ 9 , 10 , 11 , 12 ] which are widely used as platforms that mimic the cell membrane to study protein–protein and protein–lipid interactions, monitor drug delivery, and drug encapsulation [ 13 , 14 ]. Liposome-based immunostimulatory complexes are typically composed of long-chain phospholipids, cholesterol, and saponins. This formulation can generate structures with sizes of approximately 100 nm; these are known for their potential and actual use in targeted drug delivery and vaccine antigen delivery systems, with potent immune-enhancing properties [ 15 , 16 ]. Saponin-based adjuvants show immunostimulatory effects and have been widely used to enhance humoral and cellular immune responses in many species; however, their modes of action are not fully understood [ 17 ]. An important saponin in the development of immunostimulant complexes is glycyrrhizic acid (GA), which is derived from licorice root and extracted from the shrub legume Glycirrhiza glabra (licorice) root. GA and its derivatives can form intermolecular complexes and micelles containing drug molecules for targeted delivery [ 18 , 19 ]. In addition, formulations based on phospholipids, cholesterol, and GA coupled with a viral antigen generated an increase in immune responses compared to the antigen alone, indicating that GA has promising effects if used within a vaccine antigen delivery system [ 20 , 21 ]. Studies on liposome-based veterinary vaccines have markedly increased, and pig vaccination has become an essential part of pig production; viral vaccines are essential tools for pig producers and veterinarians to manage pig herd health [ 22 ]. The ability to induce strong immune responses provided by co-formulated adjuvants, such as liposome-based vaccines, is critical for the development of modern vaccine formulations [ 23 ]. This study focused on improving current trends and implementing new technologies for the development of novel porcine virus vaccines. Thus, the aim of this study was to develop and characterize a new lipid NP-based on GA (LNP-GA) by determining its physical properties in terms of size, shape, size distribution, PDI, Z-potential, and transmission electron microscopy (TEM) analysis, and to test its immunogenicity as an adjuvant formulated with a recombinant NTD of the PEDV S protein (rNTD-S-PED) by mice immunization. 2. Materials and Methods 2.1. Reagents GA was purchased from Sigma–Aldrich, Burlington, MA, USA, and refrigerated at 4 °C until use; cholesterol and L-α-phosphatidylcholine were purchased from Sigma–Aldrich and stored at −20 °C. Distilled deionized water used throughout the nanoparticle synthesis was filtered using 0.45 µm and then 0.2 µm syringe filters in duplicate. All the other chemical reagents were of analytical grade. A stock solution of GA (10 mg/mL) was prepared by dissolving the acid at a temperature greater than 90 °C in phosphate-buffered saline (1X PBS, pH 7.4), filtered through a 0.45 µm syringe filter, and stored at 4 °C until use. Likewise, solutions of 10 mg/mL cholesterol and L-α-phosphatidylcholine were prepared in chloroform and stored in amber tubes at 4 °C. Tris-HCL (140 mM, pH 7.4), filtered through a 0.45 µm syringe filter, was used as an additional buffer. The solutions were then stored in dark bottles. 2.2. Preparation of LNP-GA LNP-GA was prepared through a lipid film hydration technique [ 24 ] by using a procedure similar to the one described by Demana et al. [ 16 ], where the ratio of phospholipid:cholesterol:GA was 2:1:2 v / v , respectively. Briefly, a mixture of 6 mL L-α-phosphatidylcholine (10 mg/mL) and 3 mL cholesterol (10 mg/mL) was evaporated at room temperature overnight. The formed lipid film was hydrated by adding 6 mL of GA solution (10 mg/mL) and 24 mL of Tris-HCl buffer (140 mM, pH 7.4) and mixed using a magnetic stirrer at 300 rpm for approximately 10 min at constant temperature (25 °C) to obtain a final concentration of 5 mg/mL of LNP-GA. A second homogenization was performed at 15,000 rpm for 10 min using an UltraTurrax ® (IKA-Werke, Staufen, Germany) digital T-18 rotor-stator homogenizer (IKA-Werke, Staufen, Germany). The final LNP-GA concentration was 5 mg/mL; the homogenized solution was filtered by 0.80 µm, 0.45 µm, and 0.2 µm filters and stored at 4 °C until use. 2.3. LNP-GA Characterization by Size Analysis, PDI, and Z-Potential The particle size and PDI were measured using a DLS NANOSIZER ® (Beckman Coulter, Brea, CA, USA) [ 25 ]. Briefly, DLS was used to measure average particle diameter and particle diameter distribution in triplicate at a 90° fixed angle for 180 s at 25 °C. The wavelength of the laser light (He/Ne, 10 mW) was set to 678 nm. A digital correlator was used to analyze the scattering intensity data in the unimodal analysis mode. The Z potential was measured by NS ZEN 3600 ® (Malvern, Worcestershire, UK) at 25 °C in a capillary cell. The electrophoretic mobility of the dispersions was measured and transformed into the Z-potential in triplicate by applying the Smoluchowski approximation at 25 °C in a capillary cell. 2.4. Transmission Electron Microscopy (TEM) The appearance of LNP-GA was observed with a JSM7600-F (Jeol, Akishima, Tokyo) microscope [ 26 ]. Briefly, a droplet of the homogenized solution was placed on a copper grid for five minutes. Excess liquid was removed by blotting the grid with filter paper. After the grid had partially dried, a drop of a negative staining solution (2% phosphotungstic acid, w / w , pH 7.1) was placed on the grid for 5 min. Excess liquid was removed using filter paper, and the grid was dried at room temperature. ImageJ software v. 1.8.0 [ 27 ] was used to evaluate the size and dimensions of the nanoparticles. 2.5. Production, Expression, and Purification of rNTD-S Recombinant Protein The open reading frame (ORF) of the PEDV S protein of reference strain PEDV/MEX/MICH/01/2013 (access number: KY828999 ) was used to design primers (for 5′-CAA GAT GTC ACC AGG TGC TCA GCT A-3′ and rev 5′-GCG CTA CTA AAT ATT AAA CCT CAG AGC C-3′), which hybridize to the NTD domain as reported by Lara et al. [ 28 ]. The PCR product was amplified from pJET-NTDS-MICH2013 vector, previously obtained in our work group (data do not show), and the 918 bp fragment was subcloned into Champion™ pET SUMO expression vector (Thermo Fisher Scientific, Waltham, MA, USA) and verified by nucleotide sequencing using Sanger technology at the Biotechnology Institute of Universidad Nacional Autónoma de México (UNAM). Finally, the recombinant plasmid was named pET-SUMO-rNTD-S, and competent cells of Escherichia coli ( E. coli ) strain One Shot™ BL21 (DE3) (Invitrogen, Carlsbad, CA, USA) were used to obtain the overproduction strain (BL21-rNTD-S). Cloning and expression were performed according to the procedure described by Lara et al. [ 29 ] and García-González et al. [ 30 ]. rNTD-S protein was recovered from the inclusion bodies (IB) of 500 mL of induced bacterial cells. The cells were disrupted by mechanical rupture (Gaulin APV Homogenizer Group, Wilmington, MA, USA) in 400 mL of 0.1 M Tris-HCl buffer (50 mM, pH 7.5) for 20 min at 8000 psi. The IB was separated from the mixture via centrifugation and washed with distilled water (5 mL). They were then centrifuged, pelleted, and solubilized in 5% N-lauroylsarcosine sodium salt and 50 mM Tris-HCl pH 7.5 (250 rpm, 12 h, 25 °C). rNTD-S were purified using immobilized-metal affinity chromatography (IMAC) according to the procedure described by Lara et al. [ 29 ], it was dialyzed (Tris-HCl 5 mM, pH 8 buffer), quantified with the Bradford method [ 21 ], and confirmed by SDS-PAGE and WB before immunization of mice. Detection in WB was performed using anti-6x-His-Tag diluted 1:5000 (Invitrogen, Carlsbad, CA, USA) as primary antibody and a mouse anti-IgG conjugated to horseradish peroxidase (dilution 1:5000) (Sigma-Aldrich, St. Louis, MO, USA) as a secondary antibody. 2.6. Structure and Antigenic Epitopes Prediction of NTD-S Protein Protein structure prediction was visualized and analyzed using the PyMOL software. Antigenic epitope prediction was performed using the method of Kolaskar and Tongaonkar [ 31 ], surface probability was determined using the method of Emini [ 32 ], and hydrophilicity analysis was performed using the method of Kyte-Doolittle [ 33 ]. Molecular modeling of the NTD region of the S1 domain of protein S was performed using the Swiss Model server (Swiss Institute of Bioinformatics, Switzerland) using the trimeric structure of the porcine epidemic diarrhea virus spike glycoprotein (Protein Data Bank accession: 6VV5) as a template [ 34 ]. 2.7. Immunogenicity Evaluation of LNP-GA Coupled to rNTD-S by Mice Immunization and Tested by Indirect Enzyme-Linked Immunosorbent Assay (iELISA) CF-1 mice (3-week-old) were randomly divided into six groups ( n = 8 per group). The mice were immunized by a subcutaneous (SC) administration of 200 µL of the formulation into a fold of skin in the neck, and a booster after 2 weeks. All formulations were mixed in a 1:1 mass ratio (5 µg for each component). The immunization and bleeding scheme were as follows: Group 1 was immunized with LNP-GA formulated with recombinant protein rNTD-S (LNP-GA + rNTD-S); Group 2 was immunized with the external reference Matrix-M™ adjuvant (Isconova AB, Uppsala, Sweden) mixed with the rNTD-S (Matrix-M™ + rNTD-S); Group 3 was immunized with GA plus rNTD-S (GA + rNTD-S); Group 4 was immunized with rNTD-S protein alone (rNTD-S + PBS); Group 5was injected with a negative control of LNP-GA alone (LNP-GA + PBS); Group 6 was injected with a blank control of just PBS. For serological analysis, blood samples were collected from the tail vein at days 0, 7, 14, 21, 28, and 35 to test for iELISA using rNTD-S as an antigen to cover the plate. The kinetics of antibody production were measured using iELISA as previously described [ 21 , 27 ]. Statistical analysis was performed using analysis of variance (ANOVA) using NCSS and SigmaPlot statistical programs, with Dunnett’s multiple comparison tests. Statistical p -value < 0.05 was regarded as the minimum criterion for statistical significance. 2.8. Determination of Pro-Inflammatory Cytokines The concentrations of the pro-inflammatory cytokines TNF-α and IL-1β were evaluated in the sera of immunized mice from all groups (blank control included). Serum concentrations of both cytokines were evaluated using the commercial ELISA MAXTM Deluxe Set Mouse TNF-α BioLegend kit and the ELISA MAX TM Deluxe set mouse IL-1β BioLegend kit (San Diego, CA, USA). The test was developed based on the indications provided by commercial kits. All procedures were performed in accordance with Mexican legislation (NOM-062-ZOO-1999; SAGARPA), based on the Guide for the Care and Use of Laboratory Animals, NRC. The experiment was previously approved under a permit from the IACUC (Institutional Animal Care and Use Committee), CENID-SAI, INIFAP. Approval number: CBCURAE-2017/001, approval date: 21 September 2017. The animals were maintained throughout the study period with food and water provided ad libitum and were euthanized by CO 2 inhalation followed by confirmatory cervical dislocation. 3. Results 3.1. Characteristics of LNP-GA DLS determined the physical properties of the LNP-GA, such as size and PDI. The average particle size of LNP-GA was approximately 200 nm, with a low PDI (<0.2), indicating that LNP-GA formulated with phospholipid:cholesterol:GA in a 2:1:2 ratio using the lipid film hydration technique were relatively monodisperse. As expected, the Z-potential of the LNP-GA was −27.6 mV, indicating high stability of the particles in dispersion. Analysis of the LNP-GA coupled with a recombinant protein rNTD-S in a ratio formulation (1:1) of 5 µg, respectively, showed an average particle size of 347.3 nm and a PDI of 0.648, with a Z-potential value of −21.73 mV; these results show that the particles were homogeneously dispersed and strongly anionic with a relative stability. The GA component had an average particle size of 205.7 nm with a PDI of 1.8, indicating that it was a polydisperse particle. The results are summarized in Table 1 . Table 1 Mean particle size, polydispersion index, and lipid-nanoparticles stability assessment (Z-potential). The values were measured in a Dynamic Light Scattering NANOSIZER ® (Beckman Coulter, Brea, CA, USA). Sample Mean Particle Size (nm) * Polydispersion (PDI) * Z-Potential (mV) ** Recombinant N-terminal domain of the PEDV spike protein ( r NTD-S) 2150.3 1.715 −9.13 ± 4 Glycyrrhizinic acid (GA) 205.7 1.8 −16.29 ± 7.32 Glycyrrhizinic acid-based Lipid Nanoparticle (LNPs-GA) 211.5 0.283 −27.6 ± 9.19 Glycyrrhizinic acid-based Lipid Nanoparticle (LNPs-GA) plus r NTD-S 347.3 0.648 −21.73 ± 8.41 * Reported as mean; n = 3. ** Reported as mean ± standard deviation; n = 3. 3.2. Assessment of LNP-GA by TEM TEM was used for size analysis and morphological inspection of the LNP-GA. A typical TEM image of LNP-GA is shown in Figure 1 a, which shows the diameter distributions at the level of a single particle with an estimated size of approximately 100 nm, as confirmed using the ImageJ program. Transmission electron microscopy analysis identifies a soft spherical bilayer of lipid vesicles, which confirmed the multilamellar structure of LNP-GA with an apparent aqueous core. Shape analysis showed two associated particles with an average size of 100 nm each, suggesting that these structures could be formed during the development of the formulation. TEM analysis of the LNP-GA coupled with a recombinant protein rNTD-S showed a spherical structure with heterogeneity in the size distribution, with the sizes ranging from 49.7 nm to 145.2 nm ( Figure 1 b). Figure 1 Electron micrography of negative staining preparation of glycyrrhizinic acid-based Lipid Nanoparticle (LNP-GA) (×50,000) ( a ) and LNP-GA (×50,000) coupled with rNTD-S ( b ). The image ( a ) shows spherical bilayer lipid vesicles with an apparently aqueous core. Image ( b ) shows spherical structures with heterogeneity in the size distribution of the population of nanoparticles bound to an electrodense mass associated with the rNTD-S. The evaluation of the micrographs was performed using the ImageJ program. 3.3. Production of Recombinant NTD-S Protein (rNTD-S) The plasmid pJET-NTD-MICH2013 was subcloned into Champion™ pET SUMO expression vector to express rNTD-S ( Figure 2 a) protein in E. coli strain One Shot™ BL21 (DE3) competent cell (Invitrogen, Carlsbad, CA, USA) using IPTG induction. After 18 h of culturing, the induced cells were collected for analysis using SDS-PAGE, Coomassie staining, and WB. As shown in Figure 2 b, black arrow, the rNTD-S protein was identified at the expected molecular weight (45 kDa). Because the protein has a c-myc tag at the C-terminus, its presence can be observed using anti-c-myc; thus, WB analysis was performed ( Figure 2 c, black arrow). In contrast, no bands were detected in the negative controls. These results confirmed expression of the rNTD-S protein in the E. coli vector. Figure 2 Development and evaluation of PEDV rNTD-S protein expression. Schematic representation of expression vector with rNTD-S coding sequence ( a ), SDS-PAGE gel stained with brilliant blue (Coomassie) ( b ), and Western blot of the rNTD-S protein of porcine epidemic diarrhea virus samples after the purification and dialysis processes ( c ). (M) Marker, (1) Purified rNTD-S [200 ng]. 3.4. Antigenic Structural Evaluation of NTD-S The secondary structure of the PEDV/MEX/MICH/01/2013 strain was predicted using the spike glycoprotein of vDEP as a template, with 99.67% identity and amino acid coverage from position 11 to 303. The structure ( Figure 3 a) was visualized using PyMOL, and the electrostatic potential was determined to identify the neutral and charged regions. Antigenic epitope prediction analysis determined 12 sites, which corresponded to large antigenic regions throughout the structure of the recombinant NTD-S1 protein ( Figure 3 b). Biochemical analysis showed a charge of 2.11, pH of 7, and a titration curve with an isoelectric point (pI) of 7.59. Figure 3 Antigenic structural evaluation of NTD-S protein. ( a ) Molecular model of the NTD region of the S1 domain of the S-glycoprotein vDEP. On the left, the electrostatic surface potential is shown, where the white regions correspond to neutral charges, the red regions correspond to negative charges, the blue regions indicate positive charges, and the right side shows the secondary structure, where antigenic epitopes are highlighted in blue. ( b ) Prediction of hydrophilic regions and surface probabilities. 3.5. Antibody Response of Immunized Mice with rNTD-S Coupled to LNP-GA as Adjuvant The effect of LNP-GA as an adjuvant plus recombinant rNTD-S in vaccinated mice (LNP-GA + rNTD-S, Group 1) was evaluated using data on the kinetics of antibody production by iELISA. An increased level of antibody production in anti-rNTD-S sera was detected from day 14 post-inoculation compared with that in mice immunized with the reference Matrix-M™ adjuvant (Isconova AB, Uppsala, Sweden) formulated with rNTD-S (Matrix-M™ + rNTD-S, Group 2). In particular, LNP-GA as an adjuvant showed a higher immune response in mice on day 21 compared to all other groups, and significant differences were observed with respect to the immune response of negative controls (Groups 5 and 6) from day 21 to day 35 ( p < 0.05), indicating the efficiency of this formulation ( Figure 4 ). Conversely, a slow immune response was observed in mice immunized with rNTD-S formulated with GA (group 3), suggesting possible capture of the recombinant protein in the release process. Figure 4 Antibody production in sera from immunized mice with different formulations (ratio 1:1). Graph shows the groups of mice immunized by the different formulations: Group 1: glycyrrhizinic acid-based Lipid Nanoparticle (LNP-GA) coupled with recombinant protein rNTD-S (LNP-GA + rNTD-S); Group 2: reference Matrix-M™ adjuvant coupled with rNTD-S (Matrix-M™ + rNTD-S); Group 3: glycyrrhizinic acid plus rNTD-S (GA + rNTD-S); Grupo 4: rNTD-S protein alone (rNTD-S + PBS); Group 5: control negative LNP-GA alone (LNP-GA + PBS); Group 6: blank control (PBS). *: p < 0.05. Mice immunized with rNTD-S alone (rNTD-S + PBS, group 4) presented high levels of antibody production from day 14 post-inoculation, indicating that the purified recombinant protein may be used as a good vaccine candidate against PEDV, where the immune response was improved using the new formulation as adjuvant. In addition, no adverse reactions were observed at the injection site or in the overall health of the mice after vaccination. 3.6. Potential Anti-Inflammatory Effect Study The effect of TNF-α and IL-1β concentrations in serum samples from the target group (blank immunized with PBS) was minimal, and the data were used as a reference for the other assessed groups. The results in Figure 5 a,b demonstrate that the group inoculated with LNP-GA coupled rNTD-S had reduced levels of TNF-α from day 14 and IL-1β from day 7, compared to the protein alone and the target groups. Then, in immunized mice, the LNP-GA complex as an adjuvant and rNTD-S did not generate a substantial first pro-inflammatory cytokine response. Figure 5 Determination of pro-inflammatory TNF-α ( a ) and IL-1β cytokines ( b ). Graphs show the serum concentrations of cytokines in immunized mice (blank included). *: p < 0.05. 4. Discussion Significant effort has recently been made to develop LNPs as efficient delivery systems for different antigens [ 35 ], as well as and to develop techniques that enable the prevention or treatment of infections by boosting the immune response against the target pathogens, which has led to the evolution of vaccines. For example, significant progress in the evaluation of liposomal nanoparticles (LNP) as vaccine delivery systems or immunogenic mechanisms has recently been made, as evidenced by the development of effective LNP-based vaccines against COVID-19 [ 22 ]. In the present study, an immunostimulant complex of LNP-GA was developed as an efficient adjuvant and formulated using the recombinant protein rNTD-S of PEDV. Characterization of the immune response in immunized CF-1 mice revealed superior humoral immunity from day 27 post-immunization compared with the other groups tested with different protein mixtures. The lipid film hydration technique was used to carry out the formulation of LNP-GA and proved to be fast and efficient; with results obtained comparable to the ones obtained by Demana [ 16 ]. LNP-GA was easily prepared and showed efficient humoral responses when coupled with a recombinant antigen of PEDV, indicating that the ratio used in the formulation of LNP (phospholipid:cholesterol:GA:2:1:2) was ideal, especially the cholesterol ratio, because moderate amounts of cholesterol can increase the ordered arrangement of lipid membranes and their stability, consequently favoring the penetration of drugs into the lipid shell [ 29 ]. Several studies have shown that due to its physicochemical characteristics, GA is inserted within the lipid nanoparticle framework, generating structures with expected sizes around 200 ± 50 nm [ 18 , 35 ]. In this respect, Brewer [ 36 ] and Mann [ 37 ] analyzed particles with sizes between 560 and 225 nm and showed that populations with an average diameter of 250 nm induced significantly higher IgG2a and IFN-γ levels post-antigen and mitogen stimulation in lymph node cultures. Therefore, our results on the physical characteristics (i.e., size, PDI, and Z-potential) of LNP-GA showed an average size of 211.5 nm, suggesting its capacity and efficacy to generate good immunogenic effects. In addition, the LNP-GA formulation produced structures with a PDI of approximately 0.283, which shows a suspension size distribution consistent with previous publications [ 38 , 39 ]. Furthermore, Z-potential analysis, which indicates the charge acquired by NPs in a dispersed medium resulting from the surface charge, concentration, and types of components in solution, was used as a measure of stability in solution [ 40 ]. The value of −27.6 mV from the LNP-GA formulation, suggests that these particles were sufficiently dispersed, and it was unlikely that they undergo flocculation or form aggregates with each other. The Z value (−27.6 mV) also confirmed the stability of the size and charge of the particles in aqueous solution because it has been reported that particles with Z-potentials close to or greater than ±30 mV are stable in size and charge [ 41 ]. Interestingly, the particle size analysis as well as dispersion assessment of GA indicates that in absence of lipids, GA alone could easily form aggregates [ 18 ]. However, our analysis of the physical properties of the LNPs using GA in the formulation revealed that the inclusion of components such as cholesterol and phospholipids formed a more stable complex, resulting in nanoparticles of more homogeneous size and dispersion. We suggest that the rNTD-S1 protein interacts with the nanoparticles via adsorption, due to its pI of 7.59 and the Tris-HCl buffer (140 mM, pH 7.4) in which the nanoparticles were synthesized, since previous reports showed that at pH values closer to the pI the interactions between the proteins themselves are reduced, thus increasing the adsorption of the proteins towards the nanoparticles [ 23 ]. In addition, the charge of the NTD-S1 protein is slightly positive (2.11 mV), which favors the interactions with nanoparticles composed of phospholipids, which are negatively charged by nature and whose interaction takes place in the hydrophilic region of the lipid aggregates [ 42 ]. As expected, the data obtained for the LNP-GA formulated with rNTD-S showed an increase in their size and PDI (347.3 nm and 0.648, respectively), indicating the presence of subpopulations of LNPs with a heterogeneous size distribution. The effect of LNP-GA as an adjuvant formulated with rNTD-S on the humoral immune response in vaccinated mice was significantly greater than the negative control group ( p < 0.05). The highest immune response was also observed from day 21 post-inoculation until day 35 compared with mice immunized with rNTD-S alone, indicating that the bioavailability of the recombinant antigen increased after coupling with LNP-GA and despite the modifications in the final mixture of LNP-GA coupled to rNTD-S, the specific antibodies recognized the recombinant protein in ELISA. In conclusion, recombinant protein retained the structure necessary to produce an immune response. These results agree with those described by Zhao [ 20 ], who also successfully used GA to induce an efficient humoral immune response in chickens against Newcastle disease after GA was encapsulated in liposomes and coupled to the Newcastle disease vaccine. As expected, the humoral immune response induced by LNP-GA plus rNTD-S was comparable to that produced with the reference Matrix-MTM adjuvant [ 40 , 43 ], indicating that the LNP-GA formulation coupled with the recombinant protein as an adjuvant could be an important carrier system in vaccine development. In addition, the kinetics of the antibody response observed in immunized mice with rNTD-S alone enhanced immunity after 14 days post-inoculation, confirming the antigenicity of the NTD of the PEDV S protein. This finding is consistent with previous reports [ 5 ], in which the NTD was shown to induce antigen-specific immune responses in both the systemic and mucosal immune compartments when administered orally. Furthermore, the NTD of the PEDV S1 domain has been investigated as a binding sugar and putative co-receptor for PEDV [ 44 ] and positive sera pigs tested by indirect enzyme-linked immunosorbent assays making use of truncated recombinant S1 protein were also correlated with virus neutralization tests [ 7 ]. Therefore, the recombinant protein rNTD-S could be an efficient antigen for the development of a potential candidate vaccine or diagnostic system for PEDV. This aspect is important because research on next-generation vaccines, such as RNA and DNA-based vaccines as well as subunits, and viral-vector approaches, are critical for the prevention of future outbreaks of emerging coronavirus diseases, such as PEDV [ 44 , 45 , 46 ]. In this study, analysis of the TNF-α and IL-1β cytokines were found in lower amounts in sera from mice vaccinated with the LNP complex, indicating that LNP-GA did not appear to generate any harmful inflammatory response in mice; however, PEDV infection in pigs increases the production of pro-inflammatory cytokines (TNF-α, IL-6, IL-8, IL-12, IL-17, IFNα, and IL-22) and in pathological processes, these can become markers in the evolution of the disease, such as in PED [ 3 ]. Previous studies have shown that GA has inhibitory effects on proinflammatory cytokines such as TNF-α and IL-1β [ 47 ]. Therefore, the results indicate that the decrease in the levels of these two cytokines can be attributed to the presence of GA in LNP. Interestingly, Group 3 showed elevated levels of these cytokines. As previous studies have shown that GA is highly soluble in aqueous media [ 48 ], this would probably indicate that GA alone is rapidly distributed in the bloodstream, decreasing its selectivity in target cells, which could indicate that GA-containing LNPs have a longer duration and selectivity in the bloodstream. In addition, a recent study showed that LNP-GA can increase IL-10 levels in the serum of immunized mice [ 21 ], indicating that LNP-GA could play an anti-inflammatory role, which could be vital in the process of immunization and control of PEDV infection. Further studies are necessary to elucidate the mechanisms underlying this effect. In this study, we developed rNTD-S, a recombinant antigen that was demonstrated to be efficacious in producing antibodies in a mouse model when combined with LNP-GA as adjuvant. The lipid nanocarriers system developed with GA not only improved antibody levels but also reduced pro-inflammatory cytokines in serum. Finally, due to the immunogenic potential of the LNP-GA–rNTD-S complex, its potential application for preventing and managing swine epidemic diarrhea disease may be studied further in pig trials. Vaccination has become an important part of pig farming, and viral vaccines are important tools for pig farmers and veterinarians to use to maintain the health of their herds [ 22 ]. 5. Conclusions All of these findings support the use of LNP-GA as a lipid-based nano-carrier system which could potentially be used as an adjuvant for the development of subunit vaccines based on recombinant proteins, such as rNTD-S. The LNP-GA coupled to rNTD-S protein will be examined further in pig trials for its suitability for preventing and controlling swine epidemic diarrhea disease. Acknowledgments Warm thanks are given to Lysett Corona-Gómez from the pharmaceutical technology laboratory at FES-Cuautitlán, UNAM. J.B.G.C. received a scholarship awarded by CONAHCYT (CVU: 992190). R.L.-R. received scholarship from CONACYT (Estancias Posdoctorales por México) with CVU number: 555630. We would like to thank Lino Sánchez Segura from CINVESTAV-IRAPUATO for technical assistance. Author Contributions Conceptualization, J.L.C.-S., D.Q.-G., B.L.S.-G. and J.S.C.-R.; Data curation, R.L.-R.; Formal analysis, J.B.G.-C., J.L.C.-S., B.L.S.-G. and I.H.-C.; Funding acquisition, J.S.C.-R.; Investigation, J.B.G.-C., R.L.-R. and B.L.S.-G.; Methodology, J.B.G.-C., J.L.C.-S., R.L.-R., D.Q.-G., G.B.-F. and B.L.S.-G.; Project administration, J.S.C.-R.; Supervision, I.H.-C. and J.S.C.-R.; Validation, J.L.C.-S., D.Q.-G., G.B.-F. and I.H.-C.; Visualization, G.B.-F. and I.H.-C.; Writing—original draft, J.B.G.-C.; Writing—review & editing, R.L.-R. and J.S.C.-R. All authors have read and agreed to the published version of the manuscript. Institutional Review Board Statement The study was conducted according to the guidelines of the Mexican legislation (NOM-062-ZOO-1999; SAGARPA) based on the Guide for the Care and Use of Laboratory Animals, NRC. The experiment was previously approved under a permit from the IACUC (Institutional Animal Care and Use Committee), INIFAP. Informed Consent Statement Not applicable. Data Availability Statement The data underlying this article will be shared on reasonable request to the corresponding author. Conflicts of Interest The authors declare no conflicts of interest. Funding Statement This work were supported by “Proyectos fiscales: Evaluación de compuestos inmunomoduladores y antivirales para el tratamiento de la enfermedad del ojo azul de los cerdos” [grant no. 2192136578] from CENID-SAI/INIFAP, Ciudad de México, Mexico. Footnotes Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. References 1. Opriessnig T., Mattei A.A., Karuppannan A.K., Halbur P.G. Future perspectives on swine viral vaccines: Where are we headed? Porc. Health Manag. 2021;7:1. doi: 10.1186/s40813-020-00179-7. 2. Song D., Park B. Porcine epidemic diarrhoea virus: A comprehensive review of molecular epidemiology, diagnosis, and vaccines. Virus Genes. 2012;44:167–177. doi: 10.1007/s11262-012-0713-1. 3. Jung K., Saif L.J., Wang Q. Porcine epidemic diarrhea virus (PEDV): An update on etiology, transmission, pathogenesis, and prevention and control. Virus Res. 2020;286:198045. doi: 10.1016/j.virusres.2020.198045. 4. Hu Y., Xie X., Yang L., Wang A. A comprehensive view in the host factors and viral proteins associated with porcine epidemic diarrhea virus infection. Front. Microbiol. 2021;12:762358. doi: 10.3389/fmicb.2021.762358. 5. Lin C.M., Saif L.J., Marthaler D., Wang Q. Evolution, antigenicity and pathogenicity of global porcine epidemic diarrhea virus strains. Virus Res. 2016;226:20–39. doi: 10.1016/j.virusres.2016.05.023. 6. Kim S.H., Cho B.H., Lee K.Y., Jang Y.S. N-Terminal Domain of the Spike Protein of Porcine Epidemic Diarrhea Virus as a New Candidate Molecule for a Mucosal Vaccine. Immune Netw. 2018;18:3. doi: 10.4110/in.2018.18.e21. 7. Li Y., Zheng F., Fan B., Muhammad H.M., Zou Y., Jiang P. Development an indirect ELISA based on truncated S protein of porcine epidemic diarrhea virus. Can. J. Microbiol. 2015;61:811–817. doi: 10.1139/cjm-2015-0213. 8. Deng F., Ye G., Liu Q., Navid M.T., Zhong X., Li Y., Peng G. Identification and Comparison of Receptor Binding Characteristics of the Spike Protein of Two Porcine Epidemic Diarrhea Virus Strains. Viruses. 2016;8:55. doi: 10.3390/v8030055. 9. Sato Y. Development of Lipid Nanoparticles for the Delivery of Macromolecules Based on the Molecular Design of pH-Sensitive Cationic Lipids. Chem. Pharm. Bull. 2021;69:1141–1159. doi: 10.1248/cpb.c21-00705. 10. Abdellatif A., Alsowinea A. Approved and marketed nanoparticles for disease targeting and applications in COVID-19. Nanotechnol. Rev. 2021;10:1941–1977. doi: 10.1515/ntrev-2021-0115. 11. Mashima R., Takada S. Lipid Nanoparticles: A Novel Gene Delivery Technique for Clinical Application. Curr. Issues Mol. Biol. 2022;44:5013–5027. doi: 10.3390/cimb44100341. 12. Menon I., Zaroudi M., Zhang Y., Aisenbrey E., Hui L. Fabrication of active targeting lipid nanoparticles: Challenges and perspectives. Mater. Today Adv. 2022;16:100299. doi: 10.1016/j.mtadv.2022.100299. 13. Chonn A., Cullis P. Recent advances in liposomal drug-delivery systems. Curr. Opin. Biotechnol. 1995;6:698–708. doi: 10.1016/0958-1669(95)80115-4. 14. Mahmoud K., Swidan S., El-Nabarawi M., Teaima M. Lipid based nanoparticles as a novel treatment modality for hepatocellular carcinoma: A comprehensive review on targeting and recent advances. J. Nanobiotechnol. 2022;20:109. doi: 10.1186/s12951-022-01309-9. 15. Morein B., Simons K. Subunit vaccines against enveloped viruses: Virosomes, micelles and other protein complexes. Vaccine. 1985;3:83–93. doi: 10.1016/0264-410X(85)90055-6. 16. Demana P.H., Davies N.M., Hook S., Rades T. Quil A-lipid powder formulations releasing ISCOMs and related colloidal stuctures upon hydration. J. Control Release. 2005;103:45–59. doi: 10.1016/j.jconrel.2004.11.027. 17. Güçlü-Ustündağ Ö., Mazza G. Saponins: Properties, Applications and Processing. Crit. Rev. Food Sci. Nutr. 2007;47:231–258. doi: 10.1080/10408390600698197. 18. Zelikman M.V., Kim A.V., Medvedev N.N., Selyutina O.Y., Polyakov N.E. Structure of dimers of glycyrrhizic acid in water and their complexes with cholesterol: Molecular dynamics simulation. J. Struct. Chem. 2015;56:67–76. doi: 10.1134/S0022476615010102. 19. Li X., Sun R., Liu R. Natural products in licorice for the therapy of liver diseases: Progress and future opportunities. Pharmacol. Res. 2019;144:210–226. doi: 10.1016/j.phrs.2019.04.025. 20. Zhao X., Fan Y., Wang D., Hu Y., Guo L., Ruan S., Yuan J. Immunological adjuvant efficacy of glycyrrhetinic acid liposome against Newcastle disease vaccine. Vaccine. 2011;29:9611–9617. doi: 10.1016/j.vaccine.2011.10.053. 21. Castañeda-Montes M.A., Cuevas-Romero J.S., Cerriteño-Sánchez J.L., de María Ávila-De la Vega L., García-Cambrón J.B., Ramírez-Álvarez H. Small ruminant lentivirus capsid protein (SRLV-p25) antigenic structural prediction and immunogenicity to recombinant SRLV- r p25-coupled to immunostimulatory complexes based on glycyrrhizinic acid. Biosci. Biotechnol. Biochem. 2022;87:267–278. doi: 10.1093/bbb/zbac206. 22. Abdellatif A.A., Younis M.A., Alsowinea A.F., Abdallah E.M., Abdel-Bakky M.S., Al-Subaiyel A., Tawfeek H.M. Lipid nanoparticles technology in vaccines: Shaping the future of prophylactic medicine. Colloids Surf. B. 2023;222:113111. doi: 10.1016/j.colsurfb.2022.113111. 23. Viegas C., Seck F., Fonte P. An insight on lipid nanoparticles for therapeutic proteins delivery. J. Drug Deliv. Sci. Technol. 2022;77:103839. doi: 10.1016/j.jddst.2022.103839. 24. Copland M.J., Davies N.M., Rades T. Hydration of lipid films with an aqueous solution of Quil A: A simple method for the preparation of immune-stimulating complexes. Int. J. Pharm. 2000;196:135–139. doi: 10.1016/S0378-5173(99)00407-X. 25. Urbán-Morlán Z., Ganem-Rondero A., Melgoza-Contreras L.M., Escobar-Chávez J.J., Nava-Arzaluz M.G., Quintanar-Guerrero D. Preparation and characterization of solid lipid nanoparticles containing cyclosporine by the emulsification-diffusion method. Int. J. Nanomed. 2010;5:611–620. doi: 10.2147/IJN.S12125. 26. Cao B., Xu H., Mao C. Transmission electron microscopy as a tool to image bioinorganic nanohybrids: The case of phage-gold nanocomposites. Microsc. Res. Techniq. 2011;74:627–635. doi: 10.1002/jemt.21030. 27. Schneider C.A., Rasband W.S., Eliceiri K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods. 2012;9:671–675. doi: 10.1038/nmeth.2089. 28. Lara-Romero R., Gómez-Núñez L., Cerriteño-Sánchez J.L., Márquez-Valdelamar L., Mendoza-Elvira S., Ramírez-Mendoza H., Rivera-Benítez J.F. Molecular characterization of the spike gene of the porcine epidemic diarrhea virus in Mexico, 2013–2016. Virus Genes. 2018;54:215–224. doi: 10.1007/s11262-017-1528-x. 29. Lara-Romero R., Cerriteño-Sánchez J.L., Mendoza-Elvira S., García-Cambrón J.B., Castañeda-Montes M.A., Pérez-Aguilar J.M., Cuevas-Romero J.S. Development of Novel Recombinant Antigens of Nucleoprotein and Matrix Proteins of Porcine orthorubulavirus: Antigenicity and Structural Prediction. Viruses. 2022;14:1946. doi: 10.3390/v14091946. 30. García-González E., Cerriteño-Sánchez J.L., Cuevas-Romero J.S., García-Cambrón J.B., Castañeda-Montes F.J., Villaseñor-Ortega F. Seroepidemiology Study of Porcine Epidemic Diarrhea Virus in Mexico by Indirect Enzyme-Linked Immunosorbent Assay Based on a Recombinant Fragment of N-Terminus Domain Spike Protein. Microorganisms. 2023;11:1843. doi: 10.3390/microorganisms11071843. 31. Kolaskar A.S., Tongaonkar P.C. A semi-empirical method for prediction of antigenic determinants on protein antigens. FEBS Lett. 1990;276:172–174. doi: 10.1016/0014-5793(90)80535-Q. 32. Emini E.A., Hughes J.V., Perlow D., Boger J. Induction of hepatitis A virus-neutralizing antibody by a virus-specific synthetic peptide. J. Virol. 1985;55:836–839. doi: 10.1128/jvi.55.3.836-839.1985. 33. Kyte J., Doolittle R.F. A simple method for displaying the hydropathic character of a protein. J. Mol. Biol. 1982;157:105–132. doi: 10.1016/0022-2836(82)90515-0. 34. Kirchdoerfer R.N., Bhandari M., Martini O., Sewall L.M., Bangaru S., Yoon K.J., Ward A.B. Structure and immune recognition of the porcine epidemic diarrhea virus spike protein. Structure. 2021;29:385–392. doi: 10.1016/j.str.2020.12.003. 35. Liu T., Zhu W., Han C., Sui X., Liu C., Ma X., Dong Y. Preparation of Glycyrrhetinic Acid Liposomes Using Lyophilization Monophase Solution Method: Preformulation, Optimization, and In Vitro Evaluation. Nanoscale Res. Lett. 2018;13:324. doi: 10.1186/s11671-018-2737-5. 36. Brewer J.M., Tetley L., Richmond J., Liew F.Y., Alexander J. Lipid vesicle size determines the Th1 or Th2 response to entrapped antigen. J. Immunol. 1998;161:4000–4007. doi: 10.4049/jimmunol.161.8.4000. 37. Mann J.F., Shakir E., Carter K.C., Mullen A.B., Alexander J., Ferro V.A. Lipid vesicle size of an oral influenza vaccine delivery vehicle influences the Th1/Th2 bias in the immune response and protection against infection. Vaccine. 2009;27:3643–3649. doi: 10.1016/j.vaccine.2009.03.040. 38. Bosquez-Molina E., Guerrero-Legarreta I., Vernon-Carter J.E. Moisture barrier properties and morphology of mesquite gum-candelilla wax based edible emulsion coatings. Food Res. Int. 2003;36:885–893. doi: 10.1016/S0963-9969(03)00097-8. 39. Pashkina E., Evseenko V., Dumchenko N., Zelikman M., Aktanova A., Bykova M., Kozlov V. Preparation and Characterization of a Glycyrrhizic Acid-Based Drug Delivery System for Allergen-Specific Immunotherapy. Nanomaterials. 2022;12:148. doi: 10.3390/nano12010148. 40. Bentacur B., Jiménez D., Linares B. Potencial Zeta (?) como criterio de optimización de dosificación de coagulante en planta de tratamiento de agua potable. Dyna. 2012;79:166–172. 41. Clogston J.D., Patri A.K. Zeta potential measurement. Methods Mol. Biol. 2011;697:63–70. doi: 10.1007/978-1-60327-198-1_6. 42. Ahmed K.S., Hussein S.A., Ali A.H., Korma S.A., Lipeng Q., Jinghua C. Liposome: Composition, characterization, preparation, and recent innovation in clinical applications. J. Drug Target. 2019;27:742–761. doi: 10.1080/1061186X.2018.1527337. 43. Fossum C., Hjertner B., Ahlberg V., Charerntantanakul W., McIntosh K., Fuxler L., Bengtsson K.L. Early inflammatory response to the saponin adjuvant Matrix-M in the pig. Vet. Immunol. Immunopathol. 2014;158:53–61. doi: 10.1016/j.vetimm.2013.07.007. 44. Magnusson S.E., Reimer J.M., Karlsson K.H., Lilja L., Bengtsson K.L., Stertman L. Immune enhancing properties of the novel Matrix-M™ adjuvant leads to potentiated immune responses to an influenza vaccine in mice. Vaccine. 2013;31:1725–1733. doi: 10.1016/j.vaccine.2013.01.039. 45. Schwendener R.A. Liposomes as vaccine delivery systems: A review of the recent advances. Ther. Adv. Vaccines Immunother. 2014;2:159–182. doi: 10.1177/2051013614541440. 46. Gerdts V., Zakhartchouk A. Vaccines for porcine epidemic diarrhea virus and other swine coronaviruses. Vet. Microbiol. 2017;206:45–51. doi: 10.1016/j.vetmic.2016.11.029. 47. Liu Z., Zhong J.Y., Gao E.N., Yang H. Effects of glycyrrhizin acid and licoric flavonoids on LPS-induced cytokines expression in macrophage. Zhongguo Zhong Yao Za Zhi. 2014;39:3841–3845. 48. Ploeger B., Mensinga T., Sips A., Seinen W., Meulenbelt J., DeJongh J. The pharmacokinetics of glycyrrhizic acid evaluated by physiologically based pharmacokinetic modeling. Drug Metab. Rev. 2001;33:125–147. doi: 10.1081/DMR-100104400. Associated Data Data Availability Statement The data underlying this article will be shared on reasonable request to the corresponding author.
Development of Glycyrrhizinic Acid-Based Lipid Nanoparticle (LNP-GA) as An Adjuvant That Improves the Immune Response to Porcine Epidemic Diarrhea Virus Spike Recombinant Protein
甘草酸基脂质纳米颗粒(LNP-GA)作为佐剂的开发及其对猪流行性腹泻病毒刺突重组蛋白免疫应答的增强作用
📄 中文摘要 Chinese Abstract
📋 英文结构化总结 English Structured Summary
全文整理
Background:
Porcine epidemic diarrhea virus (PEDV), an Alphacoronavirus, causes acute diarrhea, vomiting, dehydration, and high mortality in neonatal piglets, leading to significant economic losses in the swine industry. The PEDV spike (S) protein plays a critical role in viral pathogenesis, particularly through its N-terminal domain (NTD), which is involved in host receptor binding and has potential as a subunit vaccine antigen. Lipid nanoparticles (LNPs) are promising immunostimulatory carriers due to their biocompatibility, slow-release properties, and ability to enhance both humoral and cellular immune responses. Glycyrrhizinic acid (GA), a saponin derived from licorice root, has demonstrated adjuvant properties when incorporated into lipid-based delivery systems.
Methods:
A lipid nanoparticle formulation based on glycyrrhizinic acid (LNP-GA) was developed using the lipid film hydration technique with a phospholipid:cholesterol:GA ratio of 2:1:2. The physical characteristics of LNP-GA—including size, polydispersity index (PDI), and Z-potential—were analyzed via dynamic light scattering (DLS) and transmission electron microscopy (TEM). The recombinant N-terminal domain of the PEDV spike protein (rNTD-S) was expressed in *E. coli* BL21(DE3) using the pET-SUMO vector system, purified from inclusion bodies via immobilized-metal affinity chromatography (IMAC), and confirmed by SDS-PAGE and Western blot. CF-1 mice (n = 8 per group) were immunized subcutaneously with various formulations, including LNP-GA + rNTD-S, Matrix-M™ + rNTD-S, GA + rNTD-S, rNTD-S alone, LNP-GA alone, and PBS control. Antibody responses were measured by indirect ELISA, and serum concentrations of pro-inflammatory cytokines TNF-α and IL-1β were quantified using commercial ELISA kits.
Results:
LNP-GA exhibited an average particle size of 211.5 nm, a low PDI (0.283), and a Z-potential of −27.6 mV, indicating high colloidal stability and homogeneous dispersion. TEM confirmed spherical bilayer vesicles (~100 nm) with an aqueous core. When coupled with rNTD-S, the complex showed increased size (347.3 nm) and PDI (0.648), suggesting protein adsorption. Mice immunized with LNP-GA + rNTD-S developed significantly higher antibody titers from day 14 post-immunization compared to controls (p < 0.05), with peak responses observed on days 21–35. This response was comparable to that induced by the reference adjuvant Matrix-M™. Additionally, LNP-GA + rNTD-S significantly reduced serum levels of TNF-α (from day 14) and IL-1β (from day 7), indicating an anti-inflammatory effect. No adverse reactions were observed at injection sites or in general health.
Data Summary:
LNP-GA particles had a mean size of 211.5 nm, PDI of 0.283, and Z-potential of −27.6 mV. The LNP-GA–rNTD-S complex measured 347.3 nm in size with a PDI of 0.648 and Z-potential of −21.73 mV. Antibody levels in the LNP-GA + rNTD-S group were significantly elevated starting at day 14 (p < 0.05) and remained higher than all other groups through day 35. Serum TNF-α and IL-1β concentrations were significantly lower in the LNP-GA + rNTD-S group compared to rNTD-S alone or GA + rNTD-S groups, beginning at days 14 and 7, respectively.
Conclusions:
The LNP-GA formulation effectively functions as a stable, biocompatible adjuvant that enhances the immunogenicity of the rNTD-S antigen. It induces a robust humoral immune response comparable to the commercial Matrix-M™ adjuvant while simultaneously reducing pro-inflammatory cytokine production, suggesting a beneficial immunomodulatory profile. These findings support the potential of LNP-GA as a promising adjuvant platform for recombinant subunit vaccines against PEDV.
Practical Significance:
The LNP-GA–rNTD-S complex represents a candidate vaccine formulation with strong potential for preventing and controlling porcine epidemic diarrhea in swine. Its ability to enhance antibody responses without triggering excessive inflammation makes it suitable for further evaluation in pig trials, offering a novel tool for veterinary vaccine development to mitigate economic losses in the pork industry.
📋 中文结构化总结 Chinese Structured Summary
背景:
猪流行性腹泻病毒(PEDV)是一种α冠状病毒,可引起新生仔猪急性腹泻、呕吐、脱水及高死亡率,给养猪业造成重大经济损失。PEDV刺突(S)蛋白在病毒致病机制中发挥关键作用,尤其是其N端结构域(NTD),参与宿主受体结合,并具备作为亚单位疫苗抗原的潜力。脂质纳米颗粒(LNPs)因其良好的生物相容性、缓释特性以及增强体液和细胞免疫应答的能力,是一种极具前景的免疫刺激载体。甘草酸(GA)是从甘草根中提取的一种皂苷,当掺入脂质基递送系统时已展现出佐剂特性。
方法:
采用脂质薄膜水化法制备了基于甘草酸的脂质纳米颗粒(LNP-GA),磷脂:胆固醇:GA比例为2:1:2。通过动态光散射(DLS)和透射电子显微镜(TEM)分析了LNP-GA的粒径、多分散指数(PDI)和Z电位等物理特性。利用pET-SUMO载体系统在大肠杆菌BL21(DE3)中表达PEDV刺突蛋白重组N端结构域(rNTD-S),通过固定金属亲和层析(IMAC)从包涵体中纯化,并经SDS-PAGE和Western blot进行验证。将CF-1小鼠(每组n = 8)皮下接种不同制剂,包括LNP-GA + rNTD-S、Matrix-M™ + rNTD-S、GA + rNTD-S、单独rNTD-S、单独LNP-GA及PBS对照组。通过间接ELISA检测抗体应答,并使用商品化ELISA试剂盒定量血清中促炎细胞因子TNF-α和IL-1β的浓度。
结果:
LNP-GA的平均粒径为211.5 nm,PDI较低(0.283),Z电位为−27.6 mV,表明其具有高胶体稳定性和均匀分散性。TEM证实其为具有水性内核的球形双层囊泡(约100 nm)。与rNTD-S结合后,复合物粒径增大至347.3 nm,PDI升至0.648,提示蛋白吸附。接种LNP-GA + rNTD-S的小鼠自免疫后第14天起抗体滴度显著高于对照组(p < 0.05),峰值反应出现在第21–35天,其效果与参比佐剂Matrix-M™相当。此外,LNP-GA + rNTD-S组血清TNF-α(自第14天起)和IL-1β(自第7天起)水平显著降低,表明具有抗炎作用。注射部位及整体健康状况未见不良反应。
数据摘要:
LNP-GA颗粒平均粒径为211.5 nm,PDI为0.283,Z电位为−27.6 mV。LNP-GA–rNTD-S复合物粒径为347.3 nm,PDI为0.648,Z电位为−21.73 mV。LNP-GA + rNTD-S组抗体水平自第14天起显著升高(p < 0.05),并持续高于其他各组至第35天。与单独rNTD-S组或GA + rNTD-S组相比,LNP-GA + rNTD-S组血清TNF-α和IL-1β浓度分别从第14天和第7天起显著降低。
结论:
LNP-GA制剂可作为稳定、生物相容性良好的佐剂,有效增强rNTD-S抗原的免疫原性。其诱导的体液免疫应答与商品化Matrix-M™佐剂相当,同时降低促炎细胞因子产生,提示具有有益的免疫调节特性。这些发现支持LNP-GA作为针对PEDV的重组亚单位疫苗的潜在佐剂平台。
实际意义:
LNP-GA–rNTD-S复合物是一种具有良好前景的候选疫苗制剂,可用于猪流行性腹泻的预防与控制。其在不引发过度炎症反应的前提下增强抗体应答的能力,使其适合在猪体内进一步评估,为兽医疫苗开发提供新工具,有助于减轻养猪业的经济损失。
📖 英文全文 English Full Text
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# 翻译
猪流行性腹泻病毒(PEDV)已在全球范围内对养猪业造成严重影响,疫情暴发时仔猪死亡率可达100%。脂质纳米载体因其良好的生物相容性和缓释递送特性,常被用于免疫刺激颗粒的开发。本研究开发了一种基于甘草酸(GA)的脂质纳米颗粒(LNP-GA),并测试了其作为佐剂在小鼠接种猪流行性腹泻病毒(PEDV)刺突(S)蛋白重组N端结构域(rNTD-S)后的免疫增强效果。分散稳定性分析(Z电位为−27.6 mV)证实了LNP-GA的尺寸和电荷稳定性,表明颗粒均匀分散且呈强阴离子性,这有利于纳米颗粒与rNTD-S蛋白的结合,后者通过计算机模拟分析显示带有微弱的正电荷(2.11 mV)。LNP-GA的透射电子显微镜(TEM)图像显示为球形双层脂质囊泡纳米结构(约100 nm)。LNP-GA-rNTD-S复合物的免疫原性在首次免疫后14天诱导了高效的体液免疫应答(p < 0.05),同时通过降低血清中TNF-α和IL-1β浓度影响细胞免疫应答,这与抗炎效应相关。
**关键词:** 猪流行性腹泻病毒,脂质纳米颗粒,重组蛋白,免疫应答
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## 1. 引言
猪流行性腹泻病毒(PEDV)是α冠状病毒属成员,可引起一种重要的病毒性疾病,其特征为急性腹泻、呕吐、脱水及新生仔猪高死亡率,给养猪业造成重大经济损失[1]。该病毒基因组大小约为28 kb,包含位于5′和3′末端的两个非编码区(UTR)、四种结构蛋白:刺突蛋白(S)、膜蛋白(M)、包膜蛋白(E)和核衣壳蛋白(N),以及编码14–16种非结构蛋白的ORF1a和ORF1b,ORF3编码一种辅助蛋白[2,3]。PEDV S蛋白在发病机制中发挥重要作用,主要参与病毒与细胞膜的相互作用(通过S1亚基)以及随后的病毒细胞内化(通过S2亚基)[4]。既往研究表明,S蛋白的N端结构域(NTD)具有糖结合能力,有助于PEDV的宿主受体结合,提示NTD S1结构域可能具有作为针对PEDV变异株的亚单位疫苗的潜力,因其可能诱导抗原特异性IgG2a的产生[5,6]。此外,该NTD是开发PEDV感染诊断检测方法的有前景的候选抗原[7,8]。
近年来,作为抗原缓释系统的免疫刺激颗粒的开发引起了广泛关注[9-12],这些颗粒被广泛用作模拟细胞膜的平台,用于研究蛋白质-蛋白质和蛋白质-脂质相互作用、监测药物递送和药物包封[13,14]。基于脂质体的免疫刺激复合物通常由长链磷脂、胆固醇和皂苷组成。该制剂可生成尺寸约为100 nm的结构,因其在靶向药物递送和疫苗抗原递送系统中的潜在和实际应用而闻名,具有强效的免疫增强特性[15,16]。基于皂苷的佐剂显示出免疫刺激效应,已被广泛用于增强多种物种的体液和细胞免疫应答,但其作用模式尚未完全阐明[17]。
在免疫刺激复合物开发中,一种重要的皂苷是甘草酸(GA),其来源于光果甘草(*Glycyrrhiza glabra*)的根。GA及其衍生物可形成含有药物分子的分子间复合物和胶束,用于靶向递送[18,19]。此外,基于磷脂、胆固醇和GA与病毒抗原偶联的制剂与单独抗原相比可产生更强的免疫应答,表明GA在疫苗抗原递送系统中使用时具有良好的效果[20,21]。基于脂质体的兽医疫苗研究显著增加,猪的免疫接种已成为养猪生产的重要组成部分;病毒疫苗是养猪户和兽医管理猪群健康的重要工具[22]。由共同配制的佐剂(如基于脂质体的疫苗)提供的诱导强免疫应答的能力,对于现代疫苗制剂的开发至关重要[23]。
本研究聚焦于改进当前趋势并实施新技术以开发新型猪病毒疫苗。因此,本研究的目的是开发并表征一种基于GA的新型脂质纳米颗粒(LNP-GA),通过测定其尺寸、形状、尺寸分布、PDI、Z电位和透射电子显微镜(TEM)分析等物理特性,并通过小鼠免疫接种测试其作为与PEDV S蛋白重组NTD(rNTD-S-PED)配制的佐剂的免疫原性。
## 2. 材料与方法
### 2.1. 试剂
GA购自Sigma-Aldrich(美国马萨诸塞州伯灵顿),使用前冷藏于4°C;胆固醇和L-α-磷脂酰胆碱购自Sigma-Aldrich,储存于−20°C。纳米颗粒合成过程中使用的蒸馏去离子水依次使用0.45 µm和0.2 µm注射器过滤器进行双重过滤。所有其他化学试剂均为分析级。将GA在高于90°C的温度下溶于磷酸盐缓冲液(1× PBS,pH 7.4)中制备GA储备溶液(10 mg/mL),经0.45 µm注射器过滤器过滤后,储存于4°C备用。同样,将胆固醇和L-α-磷脂酰胆碱分别溶于氯仿中制备10 mg/mL的溶液,储存于棕色管中,置于4°C。Tris-HCl(140 mM,pH 7.4)经0.45 µm注射器过滤器过滤后用作额外缓冲液。所有溶液均储存于棕色瓶中。
### 2.2. LNP-GA的制备
采用脂质薄膜水化技术[24]制备LNP-GA,方法类似于Demana等[16]所述的程序,其中磷脂:胆固醇:GA的比例分别为2:1:2(v/v)。简言之,将6 mL L-α-磷脂酰胆碱(10 mg/mL)与3 mL胆固醇(10 mg/mL)的混合物在室温下蒸发过夜。形成的脂质薄膜通过加入6 mL GA溶液(10 mg/mL)和24 mL Tris-HCl缓冲液(140 mM,pH 7.4)进行水化,使用磁力搅拌器在300 rpm、恒温(25°C)条件下搅拌约10分钟,获得LNP-GA的最终浓度为5 mg/mL。使用UltraTurrax®(IKA-Werke,德国施陶芬)数字T-18转子-定子均质机在15,000 rpm下进行第二次均质10分钟。LNP-GA的最终浓度为5 mg/mL;均质溶液依次经0.80 µm、0.45 µm和0.2 µm过滤器过滤,储存于4°C备用。
### 2.3. LNP-GA的尺寸分析、PDI和Z电位表征
使用DLS NANOSIZER®(Beckman Coulter,美国加利福尼亚州布雷亚)测量颗粒尺寸和PDI[25]。简言之,在25°C下以90°固定角使用DLS测量平均粒径和粒径分布,每次测量180秒,重复三次。激光波长(He/Ne,10 mW)设定为678 nm。使用数字相关器在单峰分析模式下分析散射强度数据。Z电位使用NS ZEN 3600®(Malvern,英国伍斯特郡)在25°C毛细管池中测量。测量分散体的电泳迁移率,在25°C毛细管池中应用Smoluchowski近似法将其转换为Z电位,重复三次。
### 2.4. 透射电子显微镜(TEM)
使用JSM7600-F(Jeol,日本东京都昭岛)显微镜观察LNP-GA的形貌[26]。简言之,将一滴均质溶液置于铜网上五分钟。用滤纸吸除多余液体。铜网部分干燥后,将一滴负染色溶液(2%磷钨酸,w/w,pH 7.1)置于铜网上5分钟。用滤纸去除多余液体,铜网在室温下干燥。使用ImageJ软件v. 1.8.0[27]评估纳米颗粒的尺寸和维度。
### 2.5. rNTD-S重组蛋白的生产、表达和纯化
使用参考株PEDV/MEX/MICH/01/2013(登录号:KY828999)PEDV S蛋白的开放阅读框(ORF)设计引物(正向:5′-CAA GAT GTC ACC AGG TGC TCA GCT A-3′,反向:5′-GCG CTA CTA AAT ATT AAA CCT CAG AGC C-3′),这些引物与NTD结构域杂交,如Lara等[28]所报道。PCR产物从pJET-NTDS-MICH2013载体(先前在本课题组获得,数据未显示)扩增,将918 bp片段亚克隆至Champion™ pET SUMO表达载体(Thermo Fisher Scientific,美国马萨诸塞州沃尔瑟姆),并在墨西哥国立自治大学(UNAM)生物技术研究所使用Sanger技术进行核苷酸测序验证。最后,将重组质粒命名为pET-SUMO-rNTD-S,使用大肠杆菌(*E. coli*)One Shot™ BL21(DE3)感受态细胞(Invitrogen,美国加利福尼亚州卡尔斯巴德)获得过表达菌株(BL21-rNTD-S)。克隆和表达按照Lara等[29]和García-González等[30]所述的程序进行。
rNTD-S蛋白从500 mL诱导细菌细胞的包涵体(IB)中回收。细胞在400 mL 0.1 M Tris-HCl缓冲液(50 mM,pH 7.5)中通过机械破碎(Gaulin APV均质机集团,美国马萨诸塞州威尔明顿)破碎20分钟(8000 psi)。通过离心将IB从混合物中分离,用蒸馏水(5 mL)洗涤。然后离心、沉淀,在5% N-月桂酰肌氨酸钠盐和50 mM Tris-HCl pH 7.5中溶解(250 rpm,12 h,25°C)。按照Lara等[29]所述的程序使用固定化金属亲和层析(IMAC)纯化rNTD-S,透析(5 mM Tris-HCl pH 8缓冲液),使用Bradford方法[21]定量,并在小鼠免疫接种前通过SDS-PAGE和WB确认。WB检测使用1:5000稀释的抗6x-His-Tag(Invitrogen,美国加利福尼亚州卡尔斯巴德)作为一抗,1:5000稀释的辣根过氧化物酶偶联小鼠抗IgG(Sigma-Aldrich,美国密苏里州圣路易斯)作为二抗。
### 2.6. NTD-S蛋白结构和抗原表位的预测
使用PyMOL软件可视化和分析蛋白质结构预测。使用Kolaskar和Tongaonkar[31]的方法进行抗原表位预测,使用Emini[32]的方法确定表面概率,使用Kyte-Doolittle[33]的方法进行亲水性分析。使用Swiss Model服务器(瑞士生物信息学研究所),以猪流行性腹泻病毒刺突糖蛋白的三聚体结构(蛋白质数据库登录号:6VV5)为模板,对S蛋白S1结构域NTD区域进行分子建模[34]。
### 2.7. 通过小鼠免疫接种和间接酶联免疫吸附试验(iELISA)评估与rNTD-S偶联的LNP-GA的免疫原性
将CF-1小鼠(3周龄)随机分为六组(每组n = 8)。小鼠通过皮下(SC)注射200 µL制剂至颈部皮肤褶皱进行免疫接种,2周后加强免疫。所有制剂按1:1质量比混合(每种组分5 µg)。免疫和采血方案如下:第1组用与重组蛋白rNTD-S配制的LNP-GA免疫(LNP-GA + rNTD-S);第2组用外部参考Matrix-M™佐剂(Isconova AB,瑞典乌普萨拉)与rNTD-S混合免疫(Matrix-M™ + rNTD-S);第3组用GA加rNTD-S免疫(GA + rNTD-S);第4组用rNTD-S蛋白单独免疫(rNTD-S + PBS);第5组注射LNP-GA单独阴性对照(LNP-GA + PBS);第6组注射PBS空白对照。
为进行血清学分析,在第0、7、14、21、28和35天从尾静脉采集血样,使用rNTD-S作为包被抗原进行iELISA检测。使用iELISA测量抗体产生动力学,如前所述[21,27]。使用NCSS和SigmaPlot统计程序进行方差分析(ANOVA),采用Dunnett多重比较检验。统计p值< 0.05被视为统计学显著性的最低标准。
### 2.8. 促炎细胞因子的测定
在所有组(包括空白对照)免疫小鼠血清中评估促炎细胞因子TNF-α和IL-1β的浓度。使用商业ELISA MAX™ Deluxe Set小鼠TNF-α BioLegend试剂盒和ELISA MAX™ Deluxe Set小鼠IL-1β BioLegend试剂盒(美国加利福尼亚州圣迭戈)评估两种细胞因子的血清浓度。检测按照商业试剂盒提供的说明进行。
所有程序均按照墨西哥法规(NOM-062-ZOO-1999;SAGARPA)进行,基于NRC《实验动物护理和使用指南》。实验事先获得IACUC(机构动物护理和使用委员会)、CENID-SAI、INIFAP的许可。批准编号:CBCURAE-2017/001,批准日期:2017年9月21日。在整个研究期间,动物自由进食和饮水,通过CO2吸入安乐死,随后进行确认性颈椎脱臼。
## 3. 结果
### 3.1. LNP-GA的特性
DLS测定了LNP-GA的物理特性,如尺寸和PDI。LNP-GA的平均粒径约为200 nm,PDI较低(<0.2),表明使用脂质薄膜水化技术以2:1:2的磷脂:胆固醇:GA比例配制的LNP-GA相对单分散。正如预期,LNP-GA的Z电位为−27.6 mV,表明颗粒在分散体中具有高稳定性。
分析以1:1比例配制(各5 µg)的与重组蛋白rNTD-S偶联的LNP-GA,显示平均粒径为347.3 nm,PDI为0.648,Z电位值为−21.73 mV;这些结果表明颗粒均匀分散且呈强阴离子性,具有相对稳定性。GA组分的平均粒径为205.7 nm,PDI为1.8,表明其为多分散颗粒。结果总结于表1。
**表1 平均粒径、多分散指数和脂质纳米颗粒稳定性评估(Z电位)**
| 样品 | 平均粒径(nm)* | 多分散指数(PDI)* | Z电位(mV)** | |------|:-:|:-:|:-:| | PEDV刺突蛋白重组N端结构域(rNTD-S) | 2150.3 | 1.715 | −9.13 ± 4 | | 甘草酸(GA) | 205.7 | 1.8 | −16.29 ± 7.32 | | 基于甘草酸的脂质纳米颗粒(LNP-GA) | 211.5 | 0.283 | −27.6 ± 9.19 | | 基于甘草酸的脂质纳米颗粒(LNP-GA)加rNTD-S | 347.3 | 0.648 | −21.73 ± 8.41 |
*报告为平均值;n = 3。**报告为平均值±标准差;n = 3。
### 3.2. TEM评估LNP-GA
TEM用于LNP-GA的尺寸分析和形态学检查。图1a显示了LNP-GA的典型TEM图像,显示了单个颗粒水平的直径分布,使用ImageJ程序确认估计尺寸约为100 nm。透射电子显微镜分析识别出柔软的球形双层脂质囊泡,证实了LNP-GA的多层结构,具有明显的水性核心。形状分析显示两个相关颗粒,每个平均尺寸为100 nm,表明这些结构可能在制剂开发过程中形成。
与重组蛋白rNTD-S偶联的LNP-GA的TEM分析显示球形结构,尺寸分布具有异质性,尺寸范围为49.7 nm至145.2 nm(图1b)。
**图1** 基于甘草酸的脂质纳米颗粒(LNP-GA)负染制备的电子显微照片(×50,000)(a)和与rNTD-S偶联的LNP-GA(×50,000)(b)。图像(a)显示具有明显水性核心的球形双层脂质囊泡。图像(b)显示球形结构,与rNTD-S相关的电子致密质量结合的纳米颗粒群体尺寸分布具有异质性。使用ImageJ程序评估显微照片。
### 3.3. 重组NTD-S蛋白(rNTD-S)的生产
将质粒pJET-NTD-MICH2013亚克隆至Champion™ pET SUMO表达载体,以在大肠杆菌One Shot™ BL21(DE3)感受态细胞(Invitrogen,美国加利福尼亚州卡尔斯巴德)中表达rNTD-S(图2a)蛋白,使用IPTG诱导。培养18小时后,收集诱导细胞,通过SDS-PAGE、考马斯染色和WB进行分析。如图2b所示(黑色箭头),rNTD-S蛋白在预期分子量(45 kDa)处被识别。由于该蛋白C端具有c-myc标签,可使用抗c-myc观察其存在;因此进行了WB分析(图2c,黑色箭头)。相反,在阴性对照中未检测到条带。这些结果证实rNTD-S蛋白在大肠杆菌载体中的表达。
**图2** PEDV rNTD-S蛋白表达的开发和评估。表达载体与rNTD-S编码序列的示意图(a),考马斯亮蓝染色的SDS-PAGE凝胶(b),以及纯化和透析过程后猪流行性腹泻病毒rNTD-S蛋白样品的Western blot(c)。(M)标记物,(1)纯化的rNTD-S [200 ng]。
### 3.4. NTD-S的抗原结构评估
使用vDEP的刺突糖蛋白作为模板预测PEDV/MEX/MICH/01/2013株的二级结构,同一性为99.67%,氨基酸覆盖位置为11至303。使用PyMOL可视化结构(图3a),并确定静电电位以识别中性和带电区域。抗原表位预测分析确定了12个位点,对应于重组NTD-S1蛋白整个结构中的大抗原区域(图3b)。生化分析显示电荷为2.11,pH为7,滴定曲线等电点(pI)为7.59。
**图3** NTD-S蛋白的抗原结构评估。(a)vDEP S-糖蛋白S1结构域NTD区域的分子模型。左侧显示静电表面电位,白色区域对应中性电荷,红色区域对应负电荷,蓝色区域表示正电荷;右侧显示二级结构,抗原表位以蓝色突出显示。(b)亲水区域和表面概率的预测。
### 3.5. 以LNP-GA为佐剂与rNTD-S偶联的免疫小鼠的抗体应答
使用iELISA抗体产生动力学数据评估LNP-GA作为佐剂加重组rNTD-S在免疫小鼠(LNP-GA + rNTD-S,第1组)中的效果。从接种后第14天开始,与接种参考Matrix-M™佐剂(Isconova AB,瑞典乌普萨拉)与rNTD-S配制(Matrix-M™ + rNTD-S,第2组)的小鼠相比,抗rNTD-S血清中的抗体产生水平升高。特别是,作为佐剂的LNP-GA在第21天在小鼠中显示出比其他所有组更高的免疫应答,从第21天到第35天,与阴性对照组(第5组和第6组)的免疫应答相比观察到显著差异(p < 0.05),表明该制剂的有效性(图4)。相反,在用与GA配制的rNTD-S免疫的小鼠(第3组)中观察到缓慢的免疫应答,提示重组蛋白在释放过程中可能被截获。
**图4** 用不同制剂(1:1比例)免疫的小鼠血清中的抗体产生。图表显示用不同制剂免疫的小鼠组:第1组:基于甘草酸的脂质纳米颗粒(LNP-GA)与重组蛋白rNTD-S偶联(LNP-GA + rNTD-S);第2组:参考Matrix-M™佐剂与rNTD-S偶联(Matrix-M™ + rNTD-S);第3组:甘草酸加rNTD-S(GA + rNTD-S);第4组:rNTD-S蛋白单独(rNTD-S + PBS);第5组:阴性对照LNP-GA单独(LNP-GA + PBS);第6组:空白对照(PBS)。*:p < 0.05。
单独用rNTD-S免疫的小鼠(rNTD-S + PBS,第4组)从接种后第14天开始呈现高水平的抗体产生,表明纯化的重组蛋白可用作针对PEDV的良好疫苗候选物,其中使用新制剂作为佐剂改善了免疫应答。此外,接种后在注射部位或小鼠整体健康状况中未观察到不良反应。
### 3.6. 潜在抗炎效应研究
目标组(用PBS免疫的空白对照)血清样品中TNF-α和IL-1β浓度的影响最小,数据被用作其他评估组的参考。图5a、b中的结果显示,与单独蛋白组和目标组相比,接种与rNTD-S偶联的LNP-GA的组从第14天开始TNF-α水平降低,从第7天开始IL-1β水平降低。因此,在免疫小鼠中,作为佐剂的LNP-GA复合物和rNTD-S未产生显著的初始促炎细胞因子应答。
**图5** 促炎TNF-α(a)和IL-1β细胞因子(b)的测定。图表显示免疫小鼠(包括空白对照)中细胞因子的血清浓度。*:p < 0.05。
## 4. 讨论
最近,人们在开发LNP作为不同抗原的高效递送系统方面做出了重大努力[35],同时也开发了能够通过增强对目标病原体的免疫应答来预防或治疗感染的技术,这推动了疫苗的发展。例如,最近在评估脂质纳米颗粒(LNP)作为疫苗递送系统或免疫原机制方面取得了显著进展,如针对COVID-19的有效LNP疫苗的开发所证明的[22]。在本研究中,开发了LNP-GA免疫刺激复合物作为高效佐剂,并使用PEDV的重组蛋白rNTD-S进行配制。
在免疫的CF-1小鼠中表征免疫应答,结果显示从免疫后第27天开始,与其他使用不同蛋白质混合物测试的组相比,体液免疫更优越。使用脂质薄膜水化技术进行LNP-GA的制剂,证明快速有效;获得的结果与Demana[16]获得的结果相当。LNP-GA易于制备,当与PEDV的重组抗原偶联时显示出高效的体液应答,表明LNP制剂中使用的比例(磷脂:胆固醇:GA:2:1:2)是理想的,特别是胆固醇比例,因为适量的胆固醇可以增加脂质膜的有序排列及其稳定性,从而有利于药物渗透到脂质壳中[29]。
多项研究表明,由于其物理化学特性,GA被插入脂质纳米颗粒框架内,生成预期尺寸约为200 ± 50 nm的结构[18,35]。在这方面,Brewer[36]和Mann[37]分析了尺寸为560至225 nm的颗粒,并显示平均直径为250 nm的群体在抗原和丝裂原刺激后,在淋巴结培养物中诱导了显著更高的IgG2a和IFN-γ水平。因此,我们关于LNP-GA物理特性(即尺寸、PDI和Z电位)的结果显示平均尺寸为211.5 nm,提示其产生良好免疫原性效应的能力和功效。
此外,LNP-GA制剂产生的结构PDI约为0.283,显示悬浮液尺寸分布与以前的出版物一致[38,39]。此外,Z电位分析表明NP在分散介质中获得的电荷,来源于表面电荷、溶液中组分的浓度和类型,被用作溶液中稳定性的度量[40]。LNP-GA制剂的值为−27.6 mV,表明这些颗粒充分分散,不太可能发生絮凝或相互形成聚集体。Z值(−27.6 mV)还确认了颗粒在水溶液中尺寸和电荷的稳定性,因为据报道Z电位接近或大于±30 mV的颗粒在尺寸和电荷方面是稳定的[41]。
有趣的是,GA的颗粒尺寸分析和分散评估表明,在不存在脂质的情况下,GA本身容易形成聚集体[18]。然而,我们对制剂中使用GA的LNP的物理性质的分析表明,胆固醇和磷脂等组分的加入形成了更稳定的复合物,产生尺寸和分散更均匀的纳米颗粒。我们建议rNTD-S1蛋白通过吸附与纳米颗粒相互作用,因为其pI为7.59,且纳米颗粒在其中合成的Tris-HCl缓冲液(140 mM,pH 7.4)的pH值更接近pI时,蛋白质之间的相互作用减少,从而增加蛋白质向纳米颗粒的吸附[23]。此外,NTD-S1蛋白的电荷微正(2.11 mV),有利于与由磷脂组成的纳米颗粒的相互作用,磷脂本质上是带负电荷的,其相互作用发生在脂质聚集体亲水区域[42]。
正如预期,与rNTD-S配制的LNP-GA的数据显示其尺寸和PDI增加(分别为347.3 nm和0.648),表明存在具有异质性尺寸分布的LNP亚群。
与阴性对照组相比,与rNTD-S配制的LNP-GA作为佐剂对免疫小鼠体液免疫应答的影响显著更大(p < 0.05)。从接种后第21天直到第35天,与单独用rNTD-S免疫的小鼠相比,也观察到最高的免疫应答,表明与LNP-GA偶联后重组抗原的生物利用度增加,尽管LNP-GA与rNTD-S偶联的最终混合物有所修饰,但特异性抗体在ELISA中识别重组蛋白。总之,重组蛋白保留了产生免疫应答所需的结构。这些结果与Zhao[20]描述的结果一致,Zhao在使用GA包封在脂质体中并与新城疫疫苗偶联后,也成功地在鸡中诱导了针对新城疫的高效体液免疫应答。
正如预期,LNP-GA加rNTD-S诱导的体液免疫应答与参考Matrix-M™佐剂产生的相当[40,43],表明与重组蛋白偶联的LNP-GA制剂作为佐剂可能是疫苗开发中的重要载体系统。此外,在单独用rNTD-S免疫的小鼠中观察到的抗体应答动力学在接种后14天增强了免疫力,证实了PEDV S蛋白NTD的抗原性。这一发现与以前的报道[5]一致,其中显示NTD在口服给药时在全身和黏膜免疫区室中诱导抗原特异性免疫应答。此外,PEDV S1结构域的NTD已被研究作为PEDV的结合糖和推定共受体[44],并且使用截短的重组S1蛋白通过间接酶联免疫吸附试验检测的阳性血清猪也与病毒中和试验相关[7]。因此,重组蛋白rNTD-S可能是开发PEDV潜在候选疫苗或诊断系统的有效抗原。这一方面很重要,因为下一代疫苗的研究,如基于RNA和DNA的疫苗以及亚单位和病毒载体方法,对于预防PEDV等新兴冠状病毒疾病的未来暴发至关重要[44-46]。
在本研究中,TNF-α和IL-1β细胞因子的分析在用LNP复合物免疫的小鼠血清中含量较低,表明LNP-GA似乎未在小鼠中产生任何有害的炎症应答;然而,猪的PEDV感染增加了促炎细胞因子(TNF-α、IL-6、IL-8、IL-12、IL-17、IFNα和IL-22)的产生,在病理过程中,这些可能成为疾病进展的标志物,如PED[3]。先前的研究表明,GA对促炎细胞因子如TNF-α和IL-1β具有抑制作用[47]。因此,结果表明这两种细胞因子水平的降低可归因于LNP中GA的存在。有趣的是,第3组显示这些细胞因子水平升高。由于先前的研究表明GA在水性介质中高度可溶[48],这可能表明GA本身在血液中迅速分布,降低其对靶细胞的选择性,这可能表明含GA的LNP在血液中具有更长的持续时间和选择性。此外,最近的一项研究表明,LNP-GA可增加免疫小鼠血清中IL-10水平[21],表明LNP-GA可发挥抗炎作用,这在免疫接种和控制PEDV感染过程中可能至关重要。需要进一步研究来阐明这种效应的潜在机制。
在本研究中,我们开发了rNTD-S,一种重组抗原,当与LNP-GA作为佐剂结合使用时,在小鼠模型中证明可有效产生抗体。用GA开发的脂质纳米载体系统不仅提高了抗体水平,还降低了血清中的促炎细胞因子。最后,由于LNP-GA-rNTD-S复合物的免疫原性潜力,其在预防和控制猪流行性腹泻病中的潜在应用可在猪试验中进一步研究。疫苗接种已成为养猪业的重要组成部分,病毒疫苗是养猪户和兽医维持畜群健康的重要工具[22]。
## 5. 结论
所有这些发现支持LNP-GA作为基于脂质的纳米载体系统的使用,该系统有可能被用作基于重组蛋白(如rNTD-S)的亚单位疫苗开发的佐剂。与rNTD-S蛋白偶联的LNP-GA将在猪试验中进一步检查其预防和控制猪流行性腹泻病的适用性。
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**致谢:** 衷心感谢UNAM FES-Cuautitlán制药技术实验室的Lysett Corona-Gómez。J.B.G.C.获得CONAHCYT奖学金(CVU:992190)。R.L.-R.获得CONACYT奖学金(墨西哥博士后研究金),CVU编号:555630。感谢CINVESTAV-IRAPUATO的Lino Sánchez Segura提供的技术协助。
**作者贡献:** 概念化,J.L.C.-S.、D.Q.-G.、B.L.S.-G.和J.S.C.-R.;数据整理,R.L.-R.;形式分析,J.B.G.-C.、J.L.C.-S.、B.L.S.-G.和I.H.-C.;资金获取,J.S.C.-R.;调查,J.B.G.-C.、R.L.-R.和B.L.S.-G.;方法学,J.B.G.-C.、J.L.C.-S.、R.L.-R.、D.Q.-G.、G.B.-F.和B.L.S.-G.;项目管理,J.S.C.-R.;监督,I.H.-C.和J.S.C.-R.;验证,J.L.C.-S.、D.Q.-G.、G.B.-F.和I.H.-C.;可视化,G.B.-F.和I.H.-C.;写作—原稿,J.B.G.-C.;写作—审阅和编辑,R.L.-R.和J.S.C.-R.。所有作者均已阅读并同意手稿的发表版本。
**机构审查委员会声明:** 本研究按照墨西哥法规(NOM-062-ZOO-1999;SAGARPA)的指导方针进行,基于NRC《实验动物护理和使用指南》。实验事先获得IACUC(机构动物护理和使用委员会)、INIFAP的许可。
**知情同意声明:** 不适用。
**数据可用性声明:** 本文所依据的数据将在合理要求下与通讯作者共享。
**利益冲突声明:** 作者声明无利益冲突。
**资助声明:** 本工作由"CENID-SAI/INIFAP,墨西哥墨西哥城"的"财政项目:用于治疗猪蓝眼病的免疫调节和抗病毒化合物的评估"[资助编号:2192136578]支持。
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**脚注:** 免责声明/出版商说明:所有出版物中包含的陈述、观点和数据仅为个人作者和贡献者的观点,不代表MDPI和/或编辑的观点。MDPI和/或编辑对因内容中提及的任何想法、方法、说明、产品而对人员或财产造成的任何伤害不承担责任。