Next Article in Journal
Prevention of Herpes Zoster: A Focus on the Effectiveness and Safety of Herpes Zoster Vaccines
Next Article in Special Issue
Proteomic Characterization of PAMs with PRRSV-ADE Infection
Previous Article in Journal
CXCL12 and CXCL13 Cytokine Serum Levels Are Associated with the Magnitude and the Quality of SARS-CoV-2 Humoral Responses
Previous Article in Special Issue
Porcine Reproductive and Respiratory Syndrome virus (PRRSv): A Cross-Sectional Study on ELISA Seronegative, Multivaccinated Sows
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of BIO-PLYTM, a Platelet-Rich Plasma Derived Biologic on PRRSV-2-Infected Macrophages

1
Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA
2
Department of Biomedical Affairs and Research, Edward Via College of Osteopathic Medicine, Blacksburg, VA 24060, USA
3
Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA
*
Author to whom correspondence should be addressed.
Viruses 2022, 14(12), 2666; https://doi.org/10.3390/v14122666
Submission received: 27 October 2022 / Revised: 22 November 2022 / Accepted: 23 November 2022 / Published: 28 November 2022
(This article belongs to the Special Issue PRRSV: Vaccinology and Immunology)

Abstract

:
Porcine Reproductive and Respiratory Syndrome (PRRS) is the one of the most devastating diseases impacting the swine industry worldwide. Control and prevention methods rely on biosafety measures and vaccination. As an RNA virus with a high rate of mutation, vaccines are only partially effective against circulating and newly emerging strains. To reduce the burden of this disease, research on alternative control methods is needed. Here, we assess the in vitro antiviral effect of a novel platelet-rich plasma-derived biologic termed BIO-PLYTM (for the BIOactive fraction of Platelet-rich plasma LYsate) from both swine and equine origin. Our results show that BIO-PLYTM significantly reduces the amount of PRRSV viral load determined by RT-qPCR and the number of infectious viral particles measured by TCID50 in infected porcine alveolar and parenchymal macrophages. This study also showed limited toxicity of BIO-PLYTM in vitro and aspects of its immunomodulatory capacity evaluating the regulation of reactive oxygen species and cytokines production in infected cells. Finally, this study presents promising data on the effect of BIO-PLYTM on other RNA viruses such as human A influenza viruses and coronavirus.

1. Introduction

In 2019, international commerce of livestock and swine products surpassed USD 20 billion worldwide, and over USD 7 billion in the U.S. alone as reported by the United States Department of Agriculture (USDA) [1]. Porcine Reproductive and Respiratory Syndrome virus (PRRSV) is one of the most prominent diseases worldwide in the swine industry, causing over USD 600 million in losses every year in the U.S. [2,3]. PRRSV is an enveloped positive single stranded RNA virus with tropism for the cells from the monocytic lineage, particularly macrophages that are known to be the virus target cell [4]. PRRSV is divided into two species: PRRSV-1, mainly present in Asia and Europe, and PRRSV-2, with higher prevalence in the U.S. [4]. As many other RNA viruses, PRRSV displays a high mutation rate and ability to adapt and spread rapidly within and between herds [5,6]. The current control and prevention measures for PRRSV infection are based on biosafety protocols and immunization [7]. However, given the nature of the virus and its high mutation rate [5], approximately 20–30% of US breeding herds still become infected with PRRSV every year, since vaccines cannot yet achieve complete cross protection to circulating and newly emerging strains [8]. For that reason, research on alternative treatments that could lead to a reduction of the burden of this disease are of interest. Some approaches that have proven their effectiveness against PRRSV in vitro are plant extracts like Caesalpinia sappan [9], tea polyphenols [10], nanoparticles [11], carbon-based materials [12] or mycotoxins [13] among others. However, a number of these options, such as nanoparticles [11] or carbon-based materials, [12] are either difficult or costly to obtain or can lead to secondary effects when used long-term [13]. Therefore, finding an alternative that can be used in swine industry that surpasses those obstacles while maintaining low production costs is the key for a successful and applicable product.
Platelets play an important role in innate immunity since they degranulate and release antimicrobial peptides (AMPs) when activated [14,15]. Platelet rich plasma (PRP) is an autologous compound obtained from an individual’s blood with numerous applications within the biomedical field [16,17,18,19,20,21,22,23,24]. Originally, PRP was found to be an effective treatment for musculoskeletal conditions such as osteoarthritis [25,26,27] or bone infections [28], among others [16,17,18,19,20,21,22,23,24]. As one of the main complications of traumatic lesions is potential subsequent bacterial infections [29,30,31], the discovery of the antimicrobial capacities of PRP brought great advantages to its utilization, since the application of a single compound could aid with multiple complications at a time such as pain relief [18], immune regulation [24] and bacterial control [27,32,33,34,35]. Recently, the antiviral properties of PRP have been described for SARS-CoV-2 [36,37], leading the way for PRP and its derivatives to be applied as safe and effective antivirals.
Along with the current interest in PRP utilization, the antimicrobial properties of the acellular component of PRP led to the use of PRP lysate (PRP-L), that presented a higher concentration of platelet bioactive factors than the original PRP [38,39]. This change opened the possibility for the allogeneic use of PRP-L [38], along with the ability to pool PRP-L from multiple individuals and thus decrease variability in the final product [40,41]. Our group has recently described a novel processing method that isolates the AMPs within PRP and has provided extensive in vitro [32] and in vivo [27] data supporting its antibacterial activity. The resulting product from this processing method is the small molecular weight, cationic peptide fraction of pooled PRP-L and is termed BIO-PLYTM for the BIOactive fraction of Platelet-rich plasma Lysate, (U.S. Patent Application #20210128626) [33].
The objective of this study was to test the antiviral properties of porcine- and equine-derived BIO-PLYTM against three strains of PRRSV-2: a high pathogenic (NC-174), a low pathogenic (NC-134) and a reference strain (VR-2332) during infection in porcine alveolar macrophages (PAM) and lung pulmonary intravascular macrophages, designated as PIM. Particularly, this study focuses on the ability of swine and equine BIO-PLYTM to reduce viral load and to modulate cytokine and reactive oxygen species (ROS) production in infected macrophages in vitro. Finally, this study also shows promising preliminary data on the use of inter-specific BIO-PLYTM and its effect on other RNA viruses such as human influenza and coronavirus.

2. Materials and Methods

2.1. Cells

Monkey African Green kidney (MA-104) cell line (ATCC, CRL-2378.1T), Madin-Darby Canine Kidney cells (MDCK, BEI NR-2628) and Newborn Pig Trachea cells (NTPr) were cultured in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% inactivated fetal bovine serum (FBS), 100 IU/mL penicillin, 100 mg/mL streptomycin, 2 mM L-glutamine at 37 °C in a 5% CO2 atmosphere.
Porcine alveolar macrophages (PAM) and parenchymal macrophages, including pulmonary intravascular macrophages (PIM), were isolated from lungs of Mycoplasma, influenza A virus and PRRSV-negative pigs as previously described [42,43]. Briefly, PAM were obtained through broncho alveolar lavage using PBS supplemented with penicillin-streptomycin (GenClone, San Diego, CA, USA). Then, cells were centrifuged, resuspended in RPMI media, and counted. To obtain PIM, the parenchymal region of the lung was collected and digested using a combination of DNAse (0.1 mg/mL), collagenase (2 mg/mL) and dispase (1 mg/mL). Lung tissue fragments were crushed and filtered using 100 μm cell strainers prior to the treatment with Red Blood Lysis Buffer following manufacturer’s instructions (ChemCruz, Santa Cruz, CA, USA). Finally, cells were stored as parenchymal cells (PAR) at −80 °C. Prior to each experiment, lung mononuclear phagocytes (MNP) that include macrophages and different subsets of dendritic cells (DC) were isolated from PAR by a 1.065 density iodixanol gradient using OptiPrep (Stem Cell, Vancouver, BC, Canada) as previously described [42].

2.2. Macrophage Isolation

To further separate macrophages from the rest of MNP pool, two different methods were compared: (1) through magnetic bead separation using EasySep™ PE Positive Selection Kit II (Stemcell, Vancouver, BC, Canada); (2) using the capacity of macrophages to attach to a plastic culture plate to separate them from the non-adherent MNP that remain in the supernatant [44,45].
For the magnetic bead separation, enriched MNP were incubated with the provided selection mix containing anti-mouse IgG1 and mouse IgG1 anti-pig CD163 monoclonal antibody (Bio-Rad, MCA2311GA, IgG1 clone BL1H7) at 1 mg/mL for 15 min at room temperature (RT) following manufacturer’s indications. After separation, macrophages were resuspended in RPMI medium supplemented with 10% inactivated fetal bovine serum (FBS), 100 IU/mL penicillin, 100 mg/mL streptomycin, 2 mM L-glutamine, referred to as complete RPMI (RPMIc).
For the isolation via attachment, enriched MNP were seeded in a culture plate and incubated for 2 h at 37 °C in a 5% CO2 in RPMIc. After incubation, the supernatant containing the non-adhered MNP was removed [45].

2.3. Viruses

For this study, two PRRSV-2 field isolates were used, the high pathogenic NC-174 (NC-174G, GenBank accession ID ON844089) and the low pathogenic NC-134 (GenBank accession ID ON844087). Additionally, the reference strain VR-2332 (ATCC, vr-2332) (GenBank accession ID AY150564.1) was used as a standard for comparison. Virus stocks were expanded using cultures of PAM and MA-104 cell lines as previously described [46] and stored in aliquots at −80 °C. For additional analyses, we used human influenza A from swine origin (Influenza A Virus, A/California/04/2009 (H1N1) pdm09, BEI NR-13659) and Influenza A virus A/Wisconsin/67/2005 (H3N2), BEI NR-9694) and human coronavirus (HuCoV229E).

2.4. BIO-PLYTM Production

BIO-PLYTM was produced as previously described [27,33]. Briefly, whole blood from either healthy horses or Mycoplasma, influenza virus and PRRSV-free pigs from NCSU herds was collected in vacutainer tubes containing the anticoagulant acid citrate dextrose (ACD). The Institutional Animal Care and Use Committee of North Carolina State University approved this protocol. Erythrocytes were allowed to settle at RT for 30 min using the addition of 3% dextran to whole blood to aid in sedimentation, and the layer above the erythrocytes containing leukocytes, platelets and plasma known as leukocyte-rich platelet-rich plasma or L-PRP was collected and centrifuged at 300× g for 15 min to remove leukocytes. The pellet was then discarded and the supernatant containing the platelets and plasma was centrifuged at 1500 g for 15 min. The supernatant containing the platelet-poor plasma (PPP) was saved, and the pelleted platelets were resuspended in PPP to obtain a platelet-rich plasma (PRP) of an approximate concentration of 50× that of whole blood. The 50× PRP, defined as containing greater than 10,000,000 platelets/µL, <100 WBC/µL and >10 RBC/µL. PRP lysate, (PRP-L), was generated by bead homogenization [27,32,33,47].
Cell debris from lysis was removed through centrifugation at 20,000× g for 20 min before a final filtration. To remove anionic components, PRP-L was incubated with a washed, loose anion exchange resin (UNOsphere Q resin, Bio-Rad Laboratories, Hercules, CA, USA), followed by a separation of unbound components (cationic and neutral) using a bottle-top filter (0.22 µm PES, Nalgene, ThermoFisher, New York, NY, USA). Fractionation by molecular weight was performed with a 10 kDa molecular weight cutoff filter (Amicon® Ultra 15 mL Centrifugal Filters, 10 kDa, Millipore Sigma, Burlington, MA, USA). The final swine or equine filtrate (BIO-PLYTM) containing proteins and peptides <10 kDa in size was collected, aliquoted into 1 mL aliquots, and stored at −80 °C until use in this study.

2.5. Experimental Layout

Infection timepoints, multiplicity of infection (MOI), BIO-PLYTM concentration and treatment settings were first standardized using the MA-104 cell line prior to primary cell infection (Figure 1). Tested timepoints were 12 h and 24 h and evaluated MOIs were 1, 0.5 and 0.05. BIO-PLYTM concentrations were 50× and its dilutions to 30× and 10× and treatment was used during infection, post infection and a combination of during and post infection. Based on those standardizations, infections in primary cells were performed using MOI 1 for 24 h for all subsequent experiments. Treatment with BIO-PLYTM was applied during and post-infection using the 50× concentration.

2.6. TCID50 Assay

The antiviral activity of BIO-PLYTM was assessed by measuring the number of infectious viral particles via TCID50 assay and the amount of viral RNA via RT-qPCR in PAM and PIM. TCID50 assays were performed as previously described [48]. Infection and treatment layout was used as described in Section 2.5. Briefly, macrophages (both PAM and PIM) were infected with either PRRSV NC-174, NC-134 or VR2332 at MOI 1 for 1 h with or without BIO-PLYTM at a 1:2 ratio with media. Then, inoculum was removed and substituted by RPMI with or without BIO-PLYTM for 24 h. This way, BIO-PLYTM was added during and post-infection. Supernatants of infected macrophages (both PAM and PIM) were collected at 24 h and used to perform the TCID50 assay on a confluent 96 well plate of MA-104 cells. Cell fixation, staining with crystal violet and calculations were performed at seven days post infection as previously described [48].

2.7. RT-qPCR

Macrophages were lysed and RNA was extracted using the PureLink™ RNA Micro Scale Kit (Catalog number 12183016, Invitrogen, Waltham, MA, USA). cDNA synthesis was performed using iScript™ cDNA Synthesis Kit (Biorad, Hercules, CA, USA).
The primers used for the detection of the genomic copies of all three PRRSV strains were nsp9 F (5′-CCTGCAATTGTCCGCTGGTTTG-3′) and nsp9 R (5′-GACGACAGGCCACCTCTCTTAG-3′), previously described by Spear and Faaberg (2015) [49].
Details of the primers used to detect cytokine expression are listed in Table 1. Primers were purchased from Integrated DNA Technologies. The cytokines analyzed for this study were IL-1β, IL-4, IL-6, IL-10, IL-12 and TNF-α and RPS-24 as housekeeping gene. To reduce the variation between samples in the RT-qPCR raw data, the Ct values of the housekeeping gene were used to perform a ΔCt normalization. Subsequent normalizations to mock or virus were performed depending on the specific experiment [50].

2.8. Cytokine Production

Cytokine production of infected macrophages was additionally measured via multiplex. After infection, supernatants were collected at 24 h and a MILLIPLEX® Porcine Cytokine and Chemokine Magnetic Bead Panel was used (kit includes GM-CSF, IFN-γ, IL-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18, TNF-α) following manufacturer instructions (Catalog number PCYTMG-23K, Millipore Sigma, Burlington, MA, USA).

2.9. ROS Production

To measure ROS production, PAM and PIM were seeded in black-wall 96 well plates (Greiner Bio-one, Monroe, NC, USA) at a density of 100,000 cells per well. Cells were infected at MOI 1 and treated with BIO-PLYTM as described in Section 2.5. After incubation for 24 h, infected cells were washed with fresh media, and Dihydrorhodamine 123 (or DHR-123) (Chemodex, St. Gallen, Switzerland) was added into the wells at a concentration of 10 μM following manufacturer’s instructions. Plates were incubated for 15 min at 37 °C in a 5% CO2 incubator protected from light, and fluorescence was measured using a spectrophotometer plate reader (BioTek, Winooski, VT, USA) at different timepoints (0 h 6 h, 12 h, 24 h, 36 h and 48 h).

2.10. Cytotoxicity

BIO-PLYTM cytotoxicity in cell lines, PAM and PIM was measured using the CellToxTM Green Cytotoxicity Assay kit (Promega, Madison, WI, USA) following manufacturer’s instructions. Briefly, BIO-PLYTM was diluted in RPMIc at different concentrations and then incubated with newborn porcine tracheal cells (NPTr) [52], MA-104 (ATCC, CRL-2378.1T), PAM or PIM for 24 h or 48 h at 37 °C in a 5% CO2 incubator protected from light. Then, the fluorescent dye was added to the cells for subsequent measurement of fluorescence as an indicator of cellular death. Measurements were done using a spectrophotometer plate reader at an excitation wavelength of 485–500 nm and emission of 520–530 nm (BioTek, Winooski, VT, USA) and results are shown as relative fluorescence units (RFU).

2.11. Flow Cytometry

Cell viability data was acquired via flow cytometry using CytoFLEX flow cytometer (Beckman Coulter, Pasadena, CA, USA). Briefly, PAM and PIM were isolated and treated with BIO-PLYTM or PBS in media as previously described. After incubation, cells were resuspended in buffer composed of PBS supplemented with 2% Fetal Bovine Serum (FBS) and EDTA 2 mM (Sigma-Aldrich, St. Louis, MO, USA), and stained with primary and secondary antibodies for 1 h each. The primary antibodies used were a mouse anti-pig CD163 PE-conjugated antibody (MA5-16476, Invitrogen, Waltham, MA, USA) and a mouse anti-pig CD-172a (IgG1, MCA2312GA, clone BL1H7, BioRad, Hercules, CA, USA). Then, a polyclonal goat anti-mouse IgG1 BV421-conjugated secondary antibody (, 115-675-205, Jackson ImmunoResearch, West Grove, PA, USA). Cells were stained with DAPI (Sigma-Aldrich, St. Louis, MO, USA) following manufacturer’s instruction before flow cytometry analysis. Data analysis was performed with FlowJo version 10.5.3 (FlowJo LLC, BD Life Science, Ashland, OR, USA).

3. Results

When we compared the two isolation methods for the adherent and non-adherent MNP described in Section 2.2, there were no significant differences between the two processes (magnetic beads vs. cell attachment) (Figure S1) and thus, the isolation of macrophages for subsequent analyses was performed through adherence.
Based on the standardizations described in Section 2.5, infections in primary cells were performed using MOI 1 for 24 h for all subsequent experiments. Treatment with BIO-PLYTM was applied during and post-infection using the 50× concentration.

3.1. Antiviral Capacity of BIO-PLYTM

When porcine BIO-PLYTM-treated and non-treated macrophages were compared, we observed a statistically significant reduction in the genome copies measured by RT-qPCR that exceeded an 80% reduction in infected PAM (Figure 2, left) and a 70% reduction in infected PIM (Figure 2, right). This effect was also observed using equine BIO-PLYTM in PAM and PIM (Figure S2).
When measuring the reduction in infectious viral particles via TCID50 assay, there was also a statistically significant difference between BIO-PLYTM-treated and non-treated cells, with an over a 90% reduction for both PAM (Figure 3, left) and PIM (Figure 2, right).

3.2. Cytokine Modulation

We did not find any BIO-PLYTM -triggered differences in cytokine expression in PAM by RT-qPCR; however, statistical differences were observed in some cases when we measured protein levels by a multiplex magnetic bead assay (Figure 4). PAM treated with BIO-PLYTM produced higher amounts of interleukin-1 beta (IL-1β), but there was no statistically significant difference between its production in BIO-PLYTM treated and non-treated infected cells (Figure 4A). In the case of interleukin-6 (IL-6), we observed significant differences triggered by BIO-PLYTM in non-infected and PRRSV NC-134 infected macrophages, but not for PRRSV NC-174 (Figure 4C). Similarly, interleukin-12 (IL-12) showed a significant difference in PRRSV NC-134 infected PAM, but not in non-infected or PRRSV NC-174 infected cells (Figure 4E). BIO-PLYTM significantly decreased TNF-α production in non-infected and PRRSV NC-174-infected PAM, but not in cells infected with PRRSV NC-134 (Figure 4F).
In the case of PIM, RT-qPCR also showed no significant differences in cytokine expression between BIO-PLYTM treatment and untreated PIM (Figure 5). We observed statistically significant differences in the production of and IL-1β protein in non-infected PIM, and PRRSV NC-134 infected PIM, but not in PRRSV NC-174 infected cells (Figure 5A). Additionally, we observed statistically significant differences in production of interleukin-4 (IL-4) (Figure 5B), interleukin-10 (IL-10) (Figure 5D) and TNF-α (Figure 5F) between BIO-PLYTM-treated and mock, but no differences between BIO-PLYTM treated and untreated infected cells with either PRRSV NC-134 or PRRSV NC-174.

3.3. Reactive Oxygen Species (ROS) Production

We observed different patterns of reactive oxygen species (ROS) production stimulated by each PRRSV strain (Figure 6). The observed ROS values for non-infected cells show the baseline or background for macrophage ROS production in culture. The low pathogenic PRRSV NC-134 triggered an impairment in ROS production of infected macrophages, which was restored by the treatment with BIO-PLYTM (Figure 6A). In the case of the highly pathogenic NC-174, infection led to an increased ROS production that was brought back to the levels of non-infected cells with the application of BIO-PLYTM (Figure 6B). This pattern was also observed in VR-2332 (Figure 6C). Same patterns were observed in PAM and PIM (data not shown).

3.4. BIO-PLYTM Cytotoxicity and Cell Viability

BIO-PLYTM cytotoxicity was measured in NPTr (Figure 7) and MA-104 (data not shown) cell lines with the same results for swine and equine BIO-PLYTM. High levels of mortality correlate with increasing concentrations of BIO-PLYTM, particularly from 70% to 100% (Figure 7A). BIO-PLYTM supernatants did not cause any cytopathic effect in either cell line when TCID50 assays were performed (data not shown). In the case of macrophages, both PAM and PIM showed no increase in mortality via flow cytometry when incubated with BIO-PLYTM at 50% for 24 h (Figure 7B) or upon PRRSV-2 infection with or without BIOPLY (data not shown). Gate strategy available in Figure S2. When measured via cytotoxicity assay for 48 h (Figure 7C), swine BIO-PLYTM seemed to cause slightly higher levels of mortality in both PAM and PIM compared to mock. However, most of the differences between treatment and mock were not statistically significant. Finally, it is important to note that the primary cells used for the assay went through a long isolation process (described in Section 2.2) and were frozen before the assay, making them more fragile than the cell lines.

4. Discussion

BIO-PLYTM was previously evaluated and shown to be effective as an antibacterial treatment for different types of both Gram-positive and Gram-negative bacteria [32,47]. In this study, for the first time, we evaluated its antiviral potential against different RNA viruses in vitro. We have assessed BIO-PLYTM antiviral activity against PRRSV-2 in lung primary macrophages and its potential capacity to modulate macrophages’ function and immune responses.
The capacity of BIO-PLYTM to control viral infection was observed not only by a reduction on viral copies via RT-qPCR, but also by a decrease in the production of infectious viral particles measured by TCID50 method. In this study we tested the effects of BIO-PLYTM in cells coming from two different compartments of the lung, PAM obtained from the alveoli and PIM retrieved from the parenchyma, which have been suggested to play different roles during PRRSV infection [53]. Future studies need to be performed to evaluate BIO-PLYTM for its antiviral capacity in vivo.
We did not observe any relevant altered patterns of cytokine regulation in PAM or PIM triggered by BIO-PLYTM treatment. Therefore, we can only speculate that the antiviral effects of BIO-PLYTM seem to be on the virus itself or on an alteration of its cycle rather than on the immunomodulation of macrophages. This is similar to other drugs that do not inactivate their target pathogens but rather inhibit their replication [54] such as Acyclovir [55,56,57,58] or Remdesivir [54,59,60] among others. We also measured the antiviral effect of BIO-PLYTM in two additional human RNA viruses, influenza A viruses and coronavirus (details of infection described in Figures S3 and S4). In the case of influenza virus, we observed a significant decrease on the viral copies detected via RT-qPCR (Figure S3). In the case of human coronavirus, we observed a reduction in the viral titer using TCID50 assay (Figure S4).
These results not only demonstrate the efficacy of BIO-PLYTM against additional RNA viruses, but also its potential inter-species use, since these experiments showed the effect of swine BIO-PLYTM in monkey and canine cell lines (Figure 7 and Figure S3), and a human cell line used for coronavirus infection (Huh-7) (Figure S4) without cytotoxicity. This is possible because BIO-PLYTM is the acellular fraction of PRP, allowing its allogenic use. For that reason, we also tested the effect of equine BIO-PLYTM in primary swine cells (PAM and PIM) following the same methods described for swine BIO-PLYTM and observed comparable levels of viral reduction via TCID50 (Figure S5). Additionally, the lack of cytotoxicity was previous supported in vivo by a clinical trial performed in COVID-19 patients [37]. The phase I/II study showed that autologous activated PRP used intravenously was safe and was not associated with serious or adverse events [37].
In relation to the immunomodulatory effects of BIO-PLYTM in infected macrophages, the biologic did not show any major differences in cytokine production on BIO-PLYTM treated compared to non-treated cells. However, there were differences in ROS production triggered by each PRRSV strain, where the low pathogenic strain NC-134 showed an impairment in ROS production while the high pathogenic NC-174 led to an increasing pattern over time. Previous literature has linked ROS production impairment with the dysregulation of antioxidant enzymes during viral infections, particularly in PRRSV, where the combination of an excessive concentration of ROS and the malfunction of antioxidant agents increases the effects of oxidative stress within cells [61,62,63]. We hypothesized that ROS levels are restored to their baseline because of the reduction in viral load and replication during BIO-PLYTM treatment: the drop in virus cargo would reduce ROS modulation. Therefore, this ability of BIO-PLYTM to restore ROS production in PRRSV-infected cells by bringing it back to mock values could be one of the key mechanisms through which this particular biologic reduces the impact of oxidative stress during PRRSV infections in vitro, and should be further analyzed.
Some limitations of the studies described here need to be considered. The main one is that even though our ex vivo methodology aims to identify cell responses that are similar to what would happen in vivo, when immune cells are isolated, possible synergistic effects and responses that depend on interactions with other cell types are overlooked; therefore, even though the results of this study provide an important stepping stone for the potential use of BIO-PLYTM as an antiviral therapeutic, there is a need for the further development of in vivo studies to confirm the absence of systemic effects and to assess its efficacy. Another limitation to consider relies on the processing method of BIO-PLYTM. Since it is a biologic, considerable lot-to-lot variability is likely. However, the pooling batches of BIO-PLYTM mitigates this variability which was observed since different BIO-PLYTM lots (n = 3) yielded similar results. Lastly, it is important to note that the primary porcine lung cells used for this study were processed, frozen, and stored.
Finally, BIO-PLYTM can be considered a potential candidate to treat and control polymicrobial diseases, since the same compound and concentration showed both antibacterial and antiviral properties. Future directions for the use of BIO-PLYTM as an antimicrobial agent will move towards the treatment of combined viral and bacterial polymicrobial diseases in vivo, especially towards swine respiratory disease complex and human pneumonia. Additionally, since BIO-PLYTM is a poly-peptide biologic [27,33], identifying the specific peptides that are more involved in the development of the antimicrobial responses is crucial since synthetized peptides are easier to produce than biologic-based treatments.

5. Conclusions

BIO-PLYTM presents an effective antiviral treatment for PRRSV-2 infection in vitro, as well as against other RNA viruses such as human A influenza viruses and coronavirus when used both intra and inter-species. This study is the steppingstone for evaluating future potential applications of BIO-PLYTM as an antiviral treatment in vivo. The antiviral activity of BIO-PLYTM combined with its previously described antibacterial activity shows great potential for BIO-PLYTM as a unique agent to reduce the burden of polymicrobial diseases.

6. Patents

Two invention disclosures have been submitted for the antiviral capacity of BIO-PLYTM (NCSU 20186, D2023-0056). A future patent will be filed on those properties.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v14122666/s1. Figure S1: Comparison of the cytokine responses of macrophages isolated using magnetic beads or attachment to plastic cultures plates; Figure S2: Gating strategy for the macrophage viability assay; Figure S3: Effect of BIO-PLYTM on the reduction of viral copies in MDCK cells infected with human influenza; Figure S4: Effect of BIO-PLYTM on the reduction of human coronavirus HuCoV229E titer in Huh-7 cells; Figure S5: Effect of equine BIO-PLYTM treatment on the production of infectious viral particles in porcine alveolar macrophages (PAM) and pulmonary intravascular macrophages (PIM) measured as TCID50.

Author Contributions

Conceptualization, A.F.-D.-D., J.M.G. and E.C.; methodology, A.F.-D.-D., J.M.G., S.D. and E.C.; software A.F.-D.-D.; validation, A.F.-D.-D., J.M.G. and E.C.; formal analysis, A.F.-D.-D., S.D. and E.C; investigation, A.F.-D.-D., J.M.G., F.S. and E.C.; resources, J.M.G., F.S. and E.C.; data curation, A.F.-D.-D. and E.C.; writing—original draft preparation, A.F.-D.-D. and E.C.; writing—review and editing, A.F.-D.-D., J.M.G., F.S., S.D. and E.C.; visualization, A.F.-D.-D. and E.C.; supervision, E.C..; project administration, E.C.; funding acquisition, J.M.G. and E.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially funded by the USDA National Institute of Food and Agriculture, Animal Health project 1024188 and the NCSU Faculty Research and Professional Development (FRPD) program.

Institutional Review Board Statement

The Institutional Animal Care and Use Committee of North Carolina State University approved this protocol (21-258-B).

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We thank the NCSU Laboratory Animal Resources staff members who assisted in the organization of the animal sampling and handling during the study. We thank Javid Mohammad, the manager of the NCSU CVM Flow Cytometry Core facility. We thank François Meurens who kindly provided the NPTr cells. We thank Schnabel and the Schnabel Laboratory who kindly provided the equine BIO-PLYTM Finally, we thank Susan Tonkonogy for her useful input and review of the manuscript, and Sarah Ann Craven for her helpful English revision. The following reagents was obtained through BEI Resources, NIAID, NIH: MDCK, Kidney (Canine), Working Cell Bank, NR-2628, Influenza virus, A/California/04/2009 (H1N1) pdm09, NR-13659, and Influenza virus A/Wisconsin/67/2005 (H3N2), NR-9694.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. USDA. Pork 2019 Export Highlights; U.S. Department of Agriculture: Washington, DC, USA, 2019. [Google Scholar]
  2. Holtkamp, D.J.; Kliebenstein, J.B.; Zimmerman, J.J.; Neumann, E.; Rotto, H.; Yoder, T.K.; Wang, C.; Yeske, P.; Mowrer, C.L.; Haley, C. Assessment of the economic impact of porcine reproductive and respiratory syndrome virus on United States pork producers. J. Swine Health Prod. 2013, 21, 72–84. [Google Scholar]
  3. Fablet, C.; Marois-Crehan, C.; Grasland, B.; Simon, G.; Rose, N. Factors associated with herd-level PRRSV infection and age-time to seroconversion in farrow-to-finish herds. Vet. Microbiol. 2016, 192, 10–20. [Google Scholar] [CrossRef] [PubMed]
  4. Straw, B.E.; Zimmerman, J.J.; D’Allaire, S.; Taylor, D.J. Diseases of Swine; John Wiley & Sons: Hoboken, NJ, USA, 2013. [Google Scholar]
  5. Jara, M.; Rasmussen, D.A.; Corzo, C.A.; Machado, G. Porcine reproductive and respiratory syndrome virus dissemination across pig production systems in the United States. Transbound. Emerg. Dis. 2021, 68, 667–683. [Google Scholar] [CrossRef] [PubMed]
  6. Cho, J.G.; Dee, S.A. Porcine reproductive and respiratory syndrome virus. Theriogenology 2006, 66, 655–662. [Google Scholar] [CrossRef] [PubMed]
  7. Corzo, C.A.; Mondaca, E.; Wayne, S.; Torremorell, M.; Dee, S.; Davies, P.; Morrison, R.B. Control and elimination of porcine reproductive and respiratory syndrome virus. Virus Res. 2010, 154, 185–192. [Google Scholar] [CrossRef]
  8. MSHMP. PRRS Charts. 2020. Available online: https://www.vetmed.umn.edu/centers-programs/swine-program/outreach-leman-mshmp/mshmp/mshmp-prrs-figures (accessed on 26 October 2022).
  9. Arjin, C.; Hongsibsong, S.; Pringproa, K.; Seel-Audom, M.; Ruksiriwanich, W.; Sutan, K.; Sommano, S.R.; Sringarm, K. Effect of ethanolic Caesalpinia sappan fraction on in vitro antiviral activity against porcine reproductive and respiratory syndrome virus. Vet. Sci. 2021, 8, 106. [Google Scholar] [CrossRef]
  10. Wang, X.; Dong, W.; Zhang, X.; Zhu, Z.; Chen, Y.; Liu, X.; Guo, C. Antiviral mechanism of tea polyphenols against porcine reproductive and respiratory syndrome virus. Pathogens 2021, 10, 202. [Google Scholar] [CrossRef]
  11. Graham, S.P.; Cheong, Y.-K.; Furniss, S.; Nixon, E.; Smith, J.A.; Yang, X.; Fruengel, R.; Hussain, S.; Tchorzewska, M.A.; La Ragione, R.M. Antiviral Efficacy of Metal and Metal Oxide Nanoparticles against the Porcine Reproductive and Respiratory Syndrome Virus. Nanomaterials 2021, 11, 2120. [Google Scholar] [CrossRef]
  12. Pattnaik, S.; Chaudhury, B.; Mohapatra, M. Exploration of Inorganic Materials with Antiviral Properties. In COVID-19 Pandemic; Springer: Berlin/Heidelberg, Germany, 2022; pp. 53–74. [Google Scholar]
  13. Savard, C.; Pinilla, V.; Provost, C.; Segura, M.; Gagnon, C.A.; Chorfi, Y. In vitro effect of deoxynivalenol (DON) mycotoxin on porcine reproductive and respiratory syndrome virus replication. Food Chem. Toxicol. 2014, 65, 219–226. [Google Scholar] [CrossRef] [Green Version]
  14. Tang, Y.-Q.; Yeaman, M.R.; Selsted, M.E. Antimicrobial peptides from human platelets. Infect. Immun. 2002, 70, 6524–6533. [Google Scholar] [CrossRef] [Green Version]
  15. Yeaman, M.R.; Bayer, A.S. Antimicrobial peptides from platelets. Drug Resist. Updates 1999, 2, 116–126. [Google Scholar] [CrossRef] [PubMed]
  16. Qu, S.; Hu, Z.; Zhang, Y.; Wang, P.; Li, S.; Huang, S.; Dong, Y.; Xu, H.; Rong, Y.; Zhu, W. Clinical Studies on Platelet-Rich Plasma Therapy for Chronic Cutaneous Ulcers: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Adv. Wound Care 2022, 11, 56–69. [Google Scholar] [CrossRef] [PubMed]
  17. Ferreira-Dos-Santos, G.; Hurdle, M.F.B.; Clendenen, S.R.; Eldrige, J.S.; Qu, W. Autologous Platelet-Rich Plasma Applications in Chronic Pain Medicine: Establishing a Framework for Future Research-A Narrative Review. Pain Physician 2022, 25, 15–27. [Google Scholar]
  18. Evish Kamrava, M.; Aaron Calodney, M.; Kent Remley, M.; Ramsin Benyamin, M.; Sheldon Jordan, M. Safety and Efficacy of Platelet Rich Plasma for Treatment of Lumbar Discogenic Pain: A Prospective, Multicenter, Randomized, Double-blind Study. Pain Physician 2022, 25, 29–34. [Google Scholar]
  19. El-Kadiry, A.E.-H.; Lumbao, C.; Salame, N.; Rafei, M.; Shammaa, R. Bone marrow aspirate concentrate versus platelet-rich plasma for treating knee osteoarthritis: A one-year non-randomized retrospective comparative study. BMC Musculoskelet. Disord. 2022, 23, 23. [Google Scholar] [CrossRef]
  20. Jamal, M.; Hurley, E.; Asad, H.; Asad, A.; Taneja, T. The role of Platelet Rich Plasma and other orthobiologics in bone healing and fracture management: A systematic review. J. Clin. Orthop. Trauma 2022, 25, 101759. [Google Scholar] [CrossRef]
  21. Alio, J.L.; Rodriguez, A.E.; Abdelghany, A.A.; Oliveira, R.F. Autologous Platelet-Rich Plasma Eye Drops for the Treatment of Post-LASIK Chronic Ocular Surface Syndrome. J. Ophthalmol. 2017, 2017, 2457620. [Google Scholar] [CrossRef]
  22. Farghali, H.A.; AbdElKader, N.A.; AbuBakr, H.O.; Ramadan, E.S.; Khattab, M.S.; Salem, N.Y.; Emam, I.A. Corneal ulcer in dogs and cats: Novel clinical application of regenerative therapy using subconjunctival injection of autologous platelet-rich plasma. Front. Vet. Sci. 2021, 8, 641265. [Google Scholar] [CrossRef]
  23. Kamiya, K.; Takahashi, M.; Shoji, N. Effect of Platelet-Rich Plasma on Corneal Epithelial Healing after Phototherapeutic Keratectomy: An Intraindividual Contralateral Randomized Study. BioMed Res. Int. 2021, 2021, 5752248. [Google Scholar] [CrossRef]
  24. Berndt, S.; Turzi, A.; Modarressi, A. Production of autologous platelet-rich plasma for boosting in vitro human fibroblast expansion. JoVE (J. Vis. Exp.) 2021, 2021, e60816. [Google Scholar] [CrossRef]
  25. Del Amo, C.; Perez-Valle, A.; Atilano, L.; Andia, I. Unraveling the Signaling Secretome of Platelet-Rich Plasma: Towards a Better Understanding of Its Therapeutic Potential in Knee Osteoarthritis. J. Clin. Med. 2022, 11, 473. [Google Scholar] [CrossRef] [PubMed]
  26. Riewruja, K.; Phakham, S.; Sompolpong, P.; Reantragoon, R.; Tanavalee, A.; Ngarmukos, S.; Udomsinprasert, W.; Suantawee, T.; Dechsupa, S.; Honsawek, S. Cytokine profiling and intra-articular injection of autologous platelet-rich plasma in knee osteoarthritis. Int. J. Mol. Sci. 2022, 23, 890. [Google Scholar] [CrossRef] [PubMed]
  27. Gilbertie, J.M.; Schaer, T.P.; Engiles, J.B.; Seiler, G.S.; Deddens, B.L.; Schubert, A.G.; Jacob, M.E.; Stefanovski, D.; Ruthel, G.; Hickok, N.J.; et al. A Platelet-Rich Plasma-Derived Biologic Clears Staphylococcus aureus Biofilms While Mitigating Cartilage Degeneration and Joint Inflammation in a Clinically Relevant Large Animal Infectious Arthritis Model. Front. Cell. Infect. Microbiol. 2022, 12, 895022. [Google Scholar] [CrossRef] [PubMed]
  28. Tang, R.; Wang, S.; Yang, J.; Wu, T.; Fei, J. Application of platelet-rich plasma in traumatic bone infections. Expert Rev. Anti-Infect. Ther. 2021, 19, 867–875. [Google Scholar] [CrossRef]
  29. Metsemakers, W.; Kuehl, R.; Moriarty, T.; Richards, R.; Verhofstad, M.; Borens, O.; Kates, S.; Morgenstern, M. Infection after fracture fixation: Current surgical and microbiological concepts. Injury 2018, 49, 511–522. [Google Scholar] [CrossRef] [Green Version]
  30. Li, B.; Webster, T.J. Bacteria antibiotic resistance: New challenges and opportunities for implant-associated orthopedic infections. J. Orthop. Res. 2018, 36, 22–32. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Ribeiro, M.; Monteiro, F.J.; Ferraz, M.P. Infection of orthopedic implants with emphasis on bacterial adhesion process and techniques used in studying bacterial-material interactions. Biomatter 2012, 2, 176–194. [Google Scholar] [CrossRef] [Green Version]
  32. Gilbertie, J.M.; Schaer, T.P.; Schubert, A.G.; Jacob, M.E.; Menegatti, S.; Ashton Lavoie, R.; Schnabel, L.V. Platelet-rich plasma lysate displays antibiofilm properties and restores antimicrobial activity against synovial fluid biofilms in vitro. J. Orthop. Res. 2020, 38, 1365–1374. [Google Scholar] [CrossRef]
  33. Gilbertie, J.M.; Schnabel, L.V.; Schaer, T.P. Platelet-Rich Plasma Lysate Compositions and Related Methods. U.S. Patent 20210128626, 6 May 2021. [Google Scholar]
  34. López, C.; Álvarez, M.E.; Carmona, J.U. Temporal bacteriostatic effect and growth factor loss in equine platelet components and plasma cultured with methicillin-sensitive and methicillin-resistant Staphylococcus aureus: A comparative in vitro study. Vet. Med. Int. 2014, 2014, 525826. [Google Scholar] [CrossRef] [Green Version]
  35. Moojen, D.J.F.; Everts, P.A.; Schure, R.M.; Overdevest, E.P.; van Zundert, A.; Knape, J.T.; Castelein, R.M.; Creemers, L.B.; Dhert, W.J. Antimicrobial activity of platelet-leukocyte gel against Staphylococcus aureus. J. Orthop. Res. 2008, 26, 404–410. [Google Scholar] [CrossRef]
  36. Karina, K.; Christoffel, L.M.; Novariani, R.; Rosidah, S.; Rosadi, I.; Rosliana, I.; Sobariah, S.; Fatkhurohman, N.; Hertati, Y.; Puspitaningrum, N. Potential breakthrough for treating severe Coronavirus Disease-2019 (COVID-19) patients in intensive care unit: The use of autologous activated platelet-rich plasma in serial cases of Indonesian patients. Sapporo Med. J. 2021, 55, 1–12. [Google Scholar]
  37. Karina, K.; Rosliana, I.; Rosadi, I.; Sobariah, S.; Christoffel, L.M.; Novariani, R.; Rosidah, S.; Fatkhurohman, N.; Hertati, Y.; Puspitaningrum, N. Phase I/II Clinical Trial of Autologous Activated Platelet-Rich Plasma (aaPRP) in the Treatment of Severe Coronavirus Disease 2019 (COVID-19) Patients. Int. J. Inflamm. 2021, 2021, 5531873. [Google Scholar] [CrossRef] [PubMed]
  38. Tyrnenopoulou, P.; Diakakis, N.; Karayannopoulou, M.; Savvas, I.; Koliakos, G. Evaluation of intra-articular injection of autologous platelet lysate (PL) in horses with osteoarthritis of the distal interphalangeal joint. Vet. Q. 2016, 36, 56–62. [Google Scholar] [CrossRef] [PubMed]
  39. Liesenborghs, L.; Verhamme, P.; Vanassche, T. Staphylococcus aureus, master manipulator of the human hemostatic system. J. Thromb. Haemost. 2018, 16, 441–454. [Google Scholar] [CrossRef] [PubMed]
  40. Giraldo, C.E.; López, C.; Álvarez, M.E.; Samudio, I.J.; Prades, M.; Carmona, J.U. Effects of the breed, sex and age on cellular content and growth factor release from equine pure-platelet rich plasma and pure-platelet rich gel. BMC Vet. Res. 2013, 9, 29. [Google Scholar] [CrossRef] [Green Version]
  41. Rinnovati, R.; Romagnoli, N.; Gentilini, F.; Lambertini, C.; Spadari, A. The influence of environmental variables on platelet concentration in horse platelet-rich plasma. Acta Vet. Scand. 2015, 58, 45. [Google Scholar] [CrossRef] [Green Version]
  42. Bordet, E.; Blanc, F.; Tiret, M.; Crisci, E.; Bouguyon, E.; Renson, P.; Maisonnasse, P.; Bourge, M.; Leplat, J.-J.; Giuffra, E. Porcine reproductive and respiratory syndrome virus type 1.3 Lena triggers conventional dendritic cells 1 activation and T helper 1 immune response without infecting dendritic cells. Front. Immunol. 2018, 9, 2299. [Google Scholar] [CrossRef] [Green Version]
  43. Maisonnasse, P.; Bouguyon, E.; Piton, G.; Ezquerra, A.; Urien, C.; Deloizy, C.; Bourge, M.; Leplat, J.; Simon, G.; Chevalier, C. The respiratory DC/macrophage network at steady-state and upon influenza infection in the swine biomedical model. Mucosal Immunol. 2016, 9, 835–849. [Google Scholar] [CrossRef] [Green Version]
  44. Inaba, K.; Inaba, M.; Deguchi, M.; Hagi, K.; Yasumizu, R.; Ikehara, S.; Muramatsu, S.; Steinman, R.M. Granulocytes, macrophages, and dendritic cells arise from a common major histocompatibility complex class II-negative progenitor in mouse bone marrow. Proc. Natl. Acad. Sci. USA 1993, 90, 3038–3042. [Google Scholar] [CrossRef] [Green Version]
  45. Saade, G.; Ménard, D.; Hervet, C.; Renson, P.; Hue, E.; Zhu, J.; Dubreil, L.; Paillot, R.; Pronost, S.; Bourry, O. Porcine reproductive and respiratory syndrome virus interferes with Swine influenza A virus infection of epithelial cells. Vaccines 2020, 8, 508. [Google Scholar] [CrossRef]
  46. Kick, A.R.; Amaral, A.F.; Cortes, L.M.; Fogle, J.E.; Crisci, E.; Almond, G.W.; Käser, T. The T-Cell Response to Type 2 Porcine Reproductive and Respiratory Syndrome Virus (PRRSV). Viruses 2019, 11, 796. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Gilbertie, J.M. Bacterial Behavior in Synovial Fluid and Development of a Novel Therapeutic to Combat Infectious Arthritis; North Carolina State University: Raleigh, NC, USA, 2019. [Google Scholar]
  48. Frias-De-Diego, A.; Crisci, E. Use of Crystal Violet to Improve Visual Cytopathic Effect-based Reading for Viral Titration using TCID50 Assays. J. Vis. Exp. Jove 2022. [Google Scholar] [CrossRef] [PubMed]
  49. Spear, A.; Faaberg, K.S. Development of a genome copy specific RT-qPCR assay for divergent strains of type 2 porcine reproductive and respiratory syndrome virus. J. Virol. Methods 2015, 218, 1–6. [Google Scholar] [CrossRef] [PubMed]
  50. Cui, X.; Yu, S.; Tamhane, A.; Causey, Z.L.; Steg, A.; Danila, M.I.; Reynolds, R.J.; Wang, J.; Wanzeck, K.C.; Tang, Q. Simple regression for correcting ΔCt bias in RT-qPCR low-density array data normalization. BMC Genom. 2015, 16, 82. [Google Scholar] [CrossRef]
  51. Nelli, R.K.; Dunham, S.P.; Kuchipudi, S.V.; White, G.A.; Baquero-Perez, B.; Chang, P.; Ghaemmaghami, A.; Brookes, S.M.; Brown, I.H.; Chang, K.-C. Mammalian innate resistance to highly pathogenic avian influenza H5N1 virus infection is mediated through reduced proinflammation and infectious virus release. J. Virol. 2012, 86, 9201–9210. [Google Scholar] [CrossRef] [Green Version]
  52. Delgado-Ortega, M.; Olivier, M.; Sizaret, P.-Y.; Simon, G.; Meurens, F. Newborn pig trachea cell line cultured in air-liquid interface conditions allows a partial in vitro representation of the porcine upper airway tissue. BMC Cell Biol. 2014, 15, 14. [Google Scholar] [CrossRef]
  53. Thanawongnuwech, R.; Halbur, P.G.; Thacker, E.L. The role of pulmonary intravascular macrophages in porcine reproductive and respiratory syndrome virus infection. Anim. Health Res. Rev. 2000, 1, 95–102. [Google Scholar] [CrossRef]
  54. Kausar, S.; Said Khan, F.; Ishaq Mujeeb Ur Rehman, M.; Akram, M.; Riaz, M.; Rasool, G.; Hamid Khan, A.; Saleem, I.; Shamim, S.; Malik, A. A review: Mechanism of action of antiviral drugs. Int. J. Immunopathol. Pharmacol. 2021, 35, 20587384211002621. [Google Scholar] [CrossRef]
  55. Balfour, H.H., Jr. Resistance of Herpes Simplex to Acyclovir; Ann Intern Med American College of Physicians: Philadelphia, PA, USA, 1983; Volume 98, pp. 404–406. [Google Scholar]
  56. Fyfe, J.; Keller, P.; Furman, P.; Miller, R.; Elion, G. Thymidine kinase from herpes simplex virus phosphorylates the new antiviral compound, 9-(2-hydroxyethoxymethyl) guanine. J. Biol. Chem. 1978, 253, 8721–8727. [Google Scholar] [CrossRef]
  57. Derse, D.; Cheng, Y.-C.; Furman, P.; St Clair, M.; Elion, G. Inhibition of purified human and herpes simplex virus-induced DNA polymerases by 9-(2-hydroxyethoxymethyl) guanine triphosphate. Effects on primer-template function. J. Biol. Chem. 1981, 256, 11447–11451. [Google Scholar] [CrossRef]
  58. Furman, P.A.; St Clair, M.; Spector, T. Acyclovir triphosphate is a suicide inactivator of the herpes simplex virus DNA polymerase. J. Biol. Chem. 1984, 259, 9575–9579. [Google Scholar] [CrossRef] [PubMed]
  59. Frediansyah, A.; Tiwari, R.; Sharun, K.; Dhama, K.; Harapan, H. Antivirals for COVID-19: A critical review. Clin. Epidemiol. Glob. Health 2021, 9, 90–98. [Google Scholar] [CrossRef] [PubMed]
  60. Jomah, S.; Asdaq, S.M.B.; Al-Yamani, M.J. Clinical efficacy of antivirals against novel coronavirus (COVID-19): A review. J. Infect. Public Health 2020, 13, 1187–1195. [Google Scholar] [CrossRef]
  61. Bellinger, F.P.; Raman, A.V.; Reeves, M.A.; Berry, M.J. Regulation and function of selenoproteins in human disease. Biochem. J. 2009, 422, 11–22. [Google Scholar] [CrossRef]
  62. Lee, S.-M.; Kleiboeker, S.B. Porcine reproductive and respiratory syndrome virus induces apoptosis through a mitochondria-mediated pathway. Virology 2007, 365, 419–434. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Suarez, P.; Diaz-Guerra, M.; Prieto, C.; Esteban, M.; Castro, J.M.; Nieto, A.; Ortín, J. Open reading frame 5 of porcine reproductive and respiratory syndrome virus as a cause of virus-induced apoptosis. J. Virol. 1996, 70, 2876–2882. [Google Scholar] [CrossRef]
Figure 1. Standardization process for the infection settings and BIO-PLYTM treatment, considering infection time (12 h or 24 h), MOI (1, 0.5 or 0.05), BIO-PLYTM treatment (during, post or during and post infection) and BIO-PLYTM concentration (10×, 30× or 50×).
Figure 1. Standardization process for the infection settings and BIO-PLYTM treatment, considering infection time (12 h or 24 h), MOI (1, 0.5 or 0.05), BIO-PLYTM treatment (during, post or during and post infection) and BIO-PLYTM concentration (10×, 30× or 50×).
Viruses 14 02666 g001
Figure 2. Effect of BIO-PLYTM treatment on PRRSV infection of porcine alveolar macrophages (PAM) and pulmonary intravascular macrophages (PIM). Briefly, PAM and PIM were infected with PRRSV with and without BIO-PLYTM treatment, and viral copies produced after 24 h of infection were measured via RT-qPCR. All experiments were performed using technical duplicates in 3 biological replicates. Obtained values were normalized to the average values for each of the three PRRSV strains without BIO-PLY treatment (set as 1) to reduce variation between biological samples and visualized as proportions based on the average values of infection. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001.
Figure 2. Effect of BIO-PLYTM treatment on PRRSV infection of porcine alveolar macrophages (PAM) and pulmonary intravascular macrophages (PIM). Briefly, PAM and PIM were infected with PRRSV with and without BIO-PLYTM treatment, and viral copies produced after 24 h of infection were measured via RT-qPCR. All experiments were performed using technical duplicates in 3 biological replicates. Obtained values were normalized to the average values for each of the three PRRSV strains without BIO-PLY treatment (set as 1) to reduce variation between biological samples and visualized as proportions based on the average values of infection. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001.
Viruses 14 02666 g002
Figure 3. Effect of BIO-PLYTM treatment on the production of infectious viral particles in porcine alveolar macrophages (PAM) and pulmonary intravascular macrophages (PIM) measured as TCID50/mL. Briefly, PAM and PIM were infected with PRRSV with and without BIO-PLYTM treatment. Supernatants were collected after 24 h of infection and used to perform TCID50 assays. All experiments were performed using technical duplicates in 3 biological replicates. Obtained values were normalized to the mean of the virus values without BIO-PLY treatment (set as 1) to reduce variation between biological samples and visualized as proportions based on the average values of infection. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. ** p ≤ 0.01, **** p ≤ 0.0001.
Figure 3. Effect of BIO-PLYTM treatment on the production of infectious viral particles in porcine alveolar macrophages (PAM) and pulmonary intravascular macrophages (PIM) measured as TCID50/mL. Briefly, PAM and PIM were infected with PRRSV with and without BIO-PLYTM treatment. Supernatants were collected after 24 h of infection and used to perform TCID50 assays. All experiments were performed using technical duplicates in 3 biological replicates. Obtained values were normalized to the mean of the virus values without BIO-PLY treatment (set as 1) to reduce variation between biological samples and visualized as proportions based on the average values of infection. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. ** p ≤ 0.01, **** p ≤ 0.0001.
Viruses 14 02666 g003
Figure 4. Effect of BIO-PLYTM on cytokines (mRNA or protein) in porcine alveolar macrophages (PAM) infected with PRRSV. Briefly, cells were infected with PRRSV for 24 h; after infection, cytokine expression was measured via RT-qPCR (shown in the left graph of each panel) and cytokine production in supernatants via multiplex (shown in the right graph of each panel). (A) IL1-β, (B) IL-4, (C) IL-6, (D) IL-10, (E) IL-12, (F) TNF-α. All experiments were performed using technical duplicates in biological replicates ranging from 3 to 5 pigs per experiment. Obtained values were normalized to the average of the mock values. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001, **** p ≤ 0.0001.
Figure 4. Effect of BIO-PLYTM on cytokines (mRNA or protein) in porcine alveolar macrophages (PAM) infected with PRRSV. Briefly, cells were infected with PRRSV for 24 h; after infection, cytokine expression was measured via RT-qPCR (shown in the left graph of each panel) and cytokine production in supernatants via multiplex (shown in the right graph of each panel). (A) IL1-β, (B) IL-4, (C) IL-6, (D) IL-10, (E) IL-12, (F) TNF-α. All experiments were performed using technical duplicates in biological replicates ranging from 3 to 5 pigs per experiment. Obtained values were normalized to the average of the mock values. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001, **** p ≤ 0.0001.
Viruses 14 02666 g004
Figure 5. Immunomodulatory capacity of BIO-PLYTM on porcine pulmonary intravascular macrophages (PIM) infected with PRRSV. Briefly, cells were infected with PRRSV for 24 h; after infection, cytokine expression was measured via RT-qPCR (shown in the left graph of each panel) and cytokine production in supernatants via multiplex (shown in the right graph of each panel). (A) IL1-β, (B) IL-4, (C) IL-6, (D) IL-10, (E) IL-12, (F) TNF-α.All experiments were performed using technical duplicates in biological replicates ranging from 3 to 5 pigs per experiment. Obtained values were normalized to the average of the mocks. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, **** p ≤ 0.0001.
Figure 5. Immunomodulatory capacity of BIO-PLYTM on porcine pulmonary intravascular macrophages (PIM) infected with PRRSV. Briefly, cells were infected with PRRSV for 24 h; after infection, cytokine expression was measured via RT-qPCR (shown in the left graph of each panel) and cytokine production in supernatants via multiplex (shown in the right graph of each panel). (A) IL1-β, (B) IL-4, (C) IL-6, (D) IL-10, (E) IL-12, (F) TNF-α.All experiments were performed using technical duplicates in biological replicates ranging from 3 to 5 pigs per experiment. Obtained values were normalized to the average of the mocks. Results were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, **** p ≤ 0.0001.
Viruses 14 02666 g005
Figure 6. Effect of BIO-PLYTM treatment on the ROS production of porcine alveolar macrophages (PAM) infected with PRRSV-2. Briefly, cells were infected with (A) PRRSV NC-134, (B) PRRSV NC-174, or (C) PRRSV VR-2332, or left in culture alone (mock). ROS production was measured at different time points (left) and visualized at 48 h (right). All experiments were performed using technical duplicates in 4 biological replicates. Obtained values were normalized to the average of the mocks. Results were analyzed via ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, **** p ≤ 0.0001.
Figure 6. Effect of BIO-PLYTM treatment on the ROS production of porcine alveolar macrophages (PAM) infected with PRRSV-2. Briefly, cells were infected with (A) PRRSV NC-134, (B) PRRSV NC-174, or (C) PRRSV VR-2332, or left in culture alone (mock). ROS production was measured at different time points (left) and visualized at 48 h (right). All experiments were performed using technical duplicates in 4 biological replicates. Obtained values were normalized to the average of the mocks. Results were analyzed via ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05, ** p ≤ 0.01, **** p ≤ 0.0001.
Viruses 14 02666 g006
Figure 7. Cell viability and BIO-PLYTM cytotoxicity in cell line and primary macrophages PAM and PIM. (A) Effect of different BIO-PLYTM concentrations in NPTr cell line using the Promega CellTox green cytotoxicity assay. (B) Effect on the viability of PAM and PIM treated with 50% swine BIO-PLYTM for 24 h measured via flow cytometry and LIVE/DEAD staining. (C) The impact of swine (left) and equine (right) BIO-PLYTM treatment for 48 h in PAM and PIM using the same Promega kit. All experiments were performed using technical duplicates in 4 biological replicates. Results are expressed as relative fluorescence units (RFU) and were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05.
Figure 7. Cell viability and BIO-PLYTM cytotoxicity in cell line and primary macrophages PAM and PIM. (A) Effect of different BIO-PLYTM concentrations in NPTr cell line using the Promega CellTox green cytotoxicity assay. (B) Effect on the viability of PAM and PIM treated with 50% swine BIO-PLYTM for 24 h measured via flow cytometry and LIVE/DEAD staining. (C) The impact of swine (left) and equine (right) BIO-PLYTM treatment for 48 h in PAM and PIM using the same Promega kit. All experiments were performed using technical duplicates in 4 biological replicates. Results are expressed as relative fluorescence units (RFU) and were analyzed via two-way ANOVA and displayed showing means and standard error of mean (SEM). p-values were expressed using asterisks following APA and Prism standards. * p ≤ 0.05.
Viruses 14 02666 g007
Table 1. Summary of primers used for cytokine detection via RT-qPCR.
Table 1. Summary of primers used for cytokine detection via RT-qPCR.
CytokinePrimerSequenceReference
IL-1βForward5′-TGC CAA CGT GCA GTC TAT GG-3′[51]
Reverse5′-TGG GCC AGC CAG CAC TAG-3′
IL-4Forward5′-GCC GGG CCT CGA CTG T-3′[42]
Reverse5′-TCC GCT CAG GAG GCT CTT C-3′
IL-6Forward5′-CTG CTT CTG GTG ATG GCT ACT G-3′[42]
Reverse5′-GGC ATC ACC TTT GGC ATC TT-3′
IL-10Forward5′-GAG CCA ACT GCA GCT TCC A-3′[42]
Reverse5′-TCA GGA CAA ATA GCC CAC TAG CTT-3’
IL-12Forward5′-GGA GCA CCC CAC ATT CCT ACT-3′[42]
Reverse5′-TTC TCT TTT GTT CTT GCC CTG AA-3′
TNF-αForward5′-TGG TGG TGC CGA CAG ATG -3′[42]
Reverse5′-CAG CCT TGG CCC CTG AA -3′
RPS24Forward5′-TTT GCC AGC ACC AAC GTT G-3′[42]
Reverse5′-AAG GAA CGC AAG AAC AGA ATG AA-3′
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Frias-De-Diego, A.; Gilbertie, J.M.; Scholle, F.; Dejarnette, S.; Crisci, E. Effect of BIO-PLYTM, a Platelet-Rich Plasma Derived Biologic on PRRSV-2-Infected Macrophages. Viruses 2022, 14, 2666. https://doi.org/10.3390/v14122666

AMA Style

Frias-De-Diego A, Gilbertie JM, Scholle F, Dejarnette S, Crisci E. Effect of BIO-PLYTM, a Platelet-Rich Plasma Derived Biologic on PRRSV-2-Infected Macrophages. Viruses. 2022; 14(12):2666. https://doi.org/10.3390/v14122666

Chicago/Turabian Style

Frias-De-Diego, Alba, Jessica M. Gilbertie, Frank Scholle, Sarah Dejarnette, and Elisa Crisci. 2022. "Effect of BIO-PLYTM, a Platelet-Rich Plasma Derived Biologic on PRRSV-2-Infected Macrophages" Viruses 14, no. 12: 2666. https://doi.org/10.3390/v14122666

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

Article Metrics

Back to TopTop