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. 2021 Aug 24;16(8):e0254606. doi: 10.1371/journal.pone.0254606

Physiologically relevant aspirin concentrations trigger immunostimulatory cytokine production by human leukocytes

Regine Brox 1,*, Holger Hackstein 1
Editor: Bruno Lourenco Diaz2
PMCID: PMC8384208  PMID: 34428217

Abstract

Acetylsalicylic acid is a globally used non-steroidal anti-inflammatory drug (NSAID) with diverse pharmacological properties, although its mechanism of immune regulation during inflammation (especially at in vivo relevant doses) remains largely speculative. Given the increase in clinical perspective of Acetylsalicylic acid in various diseases and cancer prevention, this study aimed to investigate the immunomodulatory role of physiological Acetylsalicylic acid concentrations (0.005, 0.02 and 0.2 mg/ml) in a human whole blood of infection-induced inflammation. We describe a simple, highly reliable whole blood assay using an array of toll-like receptor (TLR) ligands 1–9 in order to systematically explore the immunomodulatory activity of Acetylsalicylic acid plasma concentrations in physiologically relevant conditions. Release of inflammatory cytokines and production of prostaglandin E2 (PGE2) were determined directly in plasma supernatant. Experiments demonstrate for the first time that plasma concentrations of Acetylsalicylic acid significantly increased TLR ligand-triggered IL-1β, IL-10, and IL-6 production in a dose-dependent manner. In contrast, indomethacin did not exhibit this capacity, whereas cyclooxygenase (COX)-2 selective NSAID, celecoxib, induced a similar pattern like Acetylsalicylic acid, suggesting a possible relevance of COX-2. Accordingly, we found that exogenous addition of COX downstream product, PGE2, attenuates the TLR ligand-mediated cytokine secretion by augmenting production of anti-inflammatory cytokines and inhibiting release of pro-inflammatory cytokines. Low PGE2 levels were at least involved in the enhanced IL-1β production by Acetylsalicylic acid.

Introduction

Acetylsalicylic Acid (ASA) is the most common of all non-steroidal anti-inflammatory drugs (NSAIDs) worldwide. Interestingly, it has been reported that ASA, in addition to its anti-inflammatory effects, can also have marked immunomodulatory effects, e.g. on the function of critical antigen-presenting cells, which are poorly understood [1, 2]. Due to its analgesic, antipyretic, anti-thrombotic and anti-inflammatory properties, ASA is used as therapy for diverse conditions including treatment of moderate pain [3, 4], reduction of symptoms in rheumatic diseases [5, 6] and prevention of cardiovascular events [7, 8]. Moreover, several clinical studies have recently provided evidence that daily intake of low-dose aspirin may significantly prevent cancer incidence, especially in gastrointestinal tract [911]. Originally, the main mechanism for the pharmacological effects of ASA is the suppression of endogenous prostaglandin synthesis via inhibition of cyclooxygenase (COX) activity [12, 13]. There are two isoforms of COX identified: cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2) [14]. While the constitutively expressed COX-1 regulates homeostatic prostaglandins (PGs) to mediate “housekeeping” functions in the body, COX-2 is rapidly induced by inflammatory stimuli to release PGs at tissue site of inflammation [15, 16]. Therefore, it seems that ASA, through its well-known COX inhibitory mechanism, exhibits its immunopharmacological properties via modulation of COX-dependent production of PGs. However, there is a growing body of evidence that ASA has some COX-independent mechanisms, including inhibition of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway [17], induction of Nitric oxide (NO) release [18] and lipoxin synthesis [19]. Besides the frequent use of low-dose ASA in antithrombotic therapy, low-dose ASA has been demonstrated by recent studies to reduce cancer incidence [2022] and play a role in immune system and certain immunopathological conditions [19, 23, 24]. However, there is still no common agreement about the mechanism of the immunomodulatory potential of ASA. There are already some results that ASA has an immunostimulating effect after LPS stimulation but most studies administered high ASA doses that are not reached in vivo [25, 26]. Therefore, this study aimed to reinvestigate the immunomodulatory effects of ASA in the context of its easily and consistently achieved plasma concentrations after regular administration in humans and extended the investigations to multiple toll-like receptor (TLR) ligands. A randomized placebo-controlled crossover study detected after intravenous and oral administration of 500 mg ASA peak plasma concentrations of 0.05 mg/ml and 0.005 mg/ml, respectively [27]. Furthermore, a comprehensive data collection of therapeutic blood concentrations for nearly 1000 drugs reported ASA plasma concentrations in the range of 0.02 and 0.2 mg/ml [28]. We developed a rapid and sensitive method to assess immune-related effects of ASA, Indomethacin, and Celecoxib in human whole blood (WB) after stimulation with TLR ligands 1–9. TLRs are pattern recognition receptors on diverse cell types that play a vital role in the activation of immune response involving antigen-presenting cells (APCs) such as dendritic cells (DCs) and macrophages [29]. Stimulation of TLRs by their cognate ligands trigger the migration and production of inflammatory cytokines, upregulation of major histocompatibility complex (MHC) molecules, and co-stimulatory signals in antigen-presenting cells and can therefore be exploited as an in vitro stimulus that closely mimic the physiological immune reaction [30, 31]. Using this WB assay, we examined a variety of immunomodulatory aspects of therapeutic relevant ASA doses, including cytokines and PG release, in a highly standardized manner that requires minimal blood volumes and mimics the natural in vivo environment.

Materials and methods

Blood samples

Freshly drawn peripheral blood from healthy male donors aged 18–60 after obtaining their written informed consent was anticoagulated using Tri-sodium citrate monovettes (S.Monovette, Sarstedt). The study was approved by the local ethics committee of University Hospital Erlangen (346_18B, 343_18B, 357_19B). Blood samples were kept at room temperature for no longer than 2h before processing.

Stimulation of whole blood

Whole blood (WB) was diluted 1:2 with RPMI 1640 (Sigma-Aldrich) supplemented with 1% Penicillin/ Streptomycin (Sigma-Aldrich) and 2 mM L-glutamine (Gibco) and were distributed in 96-well round bottom plates (total volume 200μl/well). Samples were stimulated for 18h in 5% CO2 at 37°C with 20 μl TLR ligands from InvivoGen including Pam3CsK4 (TLR1/2), HKLM (TLR2), Poly (I:C)-HMW (TLR3), Poly (I:C)-LMW (TLR3), LPS E.coli K12 (TLR4), Flagellin-ST (TLR5), FSL-1 (TLR6/2), Imiquimod (TLR7), ssRNA40/LyoVec (TLR8), and ODN2006 (TLR9). The appropriate concentrations used in this study are depicted in Fig 1. In order to investigate immunomodulatory effects, blood samples were incubated for 6h in 5% CO2 at 37°C with acetylsalicylic acid (0.2 mg/ml/ 1.0 mM, 0.02 mg/ml/ 0.1 mM or 0.005 mg/ml/ 0.03 mM), Indomethacin (0.01 mg/ml/ 0.03 mM or 0.05 mg/ml/ 0.1 mM), Celecoxib (0.01 mg/ml/ 0.03 mM or 0.05 mg/ml/ 0.1 mM), Dexamethason (1 nM or 100 nM), PGE2 (7.5 ng/ml or 5 ng/ml) (all from Sigma Aldrich) or vehicle alone before TLR stimulation. Acetylsalicylic acid, Indomethacin and Celecoxib were dissolved in DMSO; Dexamethason and PGE2 in ethanol. After stimulation, approximately 100 μl supernatant were carefully collected from each well (without disturbing the pellet) and subsequently frozen at −20°C until use. The optimal duration of stimulation for an optimal effect on cytokine secretion was determined through prior kinetic studies.

Fig 1. Concentration-dependent cytokine production after TLR ligand 1–9 stimulation of WB.

Fig 1

Citrate-anticoagulated blood was stimulated with TLR-ligands for 18h. Concentration levels of cytokines [pg/ml] are presented as mean ± SD of 2 experiments, each performed in duplicate.

Measurement of cytokine production

Cytokines including TNF-α, IL-1β, IL-6, IL-10 and IFN-γ were quantified using a flow cytometry bead-based immunoassay (LEGENDplexTM human essential immune response panel, BioLegend) according to the manufacturer’s protocol and analyzed using LEGENDplex version 7.0 software (Vigene Tech). Cytokine concentrations were transformed to Log2 for TLR stimulation or expressed in percent relative to TLR agonist alone, which was defined as 100%.

Measurement of PGE2 production

PGE2 concentration was measured with a Homogenous Time Resolved Fluorescence (HTRF) kit obtained from Cisbio according to the manufacturer’s protocol. TR-FRET signal was detected by a FLUOstar Omega plate reader (BMG Labtech) with laser excitation at 337 nm and dual emission at 665 nm and 620 nm. HTRF ratios were estimated as fluorescence signal at 665 nm divided by fluorescence signal at 620 nm (acceptor/donor) and then multiplied by 104. Data were converted from HTRF ratio values to PGE2 concentration using a standard curve and then expressed in percent relative to TLR agonist alone, defined as 100%.

Flow cytometry

Cellular viability and cellular composition of WB after stimulation with TLR ligands, acetylsalicylic acid, Indomethacin, Celecoxib, PGE2 or vehicle was determined by flow cytometry (S1 Fig). WB was stained with a staining kit (Zombie Aqua Fixable Viability Kit, Biolegend) in accordance with the manufacturer’s protocol. Before staining of extracellular antigens, cells were treated with Fc receptor blocking reagent (Miltenyi Biotec). Extracellular staining was performed with monoclonal antibody for 20 minutes at 4°C in FACS buffer (PBS [Sigma-Aldrich], 2% FCS [anprotect]). Afterwards, samples were lysed with ammonium chloride solution (155 mM NH4Cl, 10 mM KHCO3, 1 mM EDTA, pH 7.4) for 10 minutes at room temperature. The lysed samples were centrifuged and washed at 300g for 5 minutes before acquisition on a CytoFLEX S (Beckman Coulter) and subsequently analyzed using FlowJo v10. Doublets, cell debris, and dead cells were excluded via forward and sideward scatter as well as Zombie AquaTM. Cell subpopulations were phenotyped with the following murine α-human monoclonal antibodies: CD14-BV605 (63D3), CD56-BV650 (5.1H11), CD16-PacBlue (3G8), CD3-AF700 (OKT3), CD19-APC/Fire (SJ25C1). All antibodies were purchased from BioLegend.

Cell populations were defined as follows: live (single cells, Zombie AquaTM), monocytes (CD14+CD16+), granulocytes (CD14-CD16+), NK cells (CD14-CD16+CD56+), T cells (CD14-CD56-CD16-CD3+), B cells (CD14-CD56-CD16-CD3-CD19+).

Statistical analysis

Data were reported as mean ± SD unless otherwise stated. Statistical analysis was performed with GraphPad Prism version 8.3.0 (GraphPad Software, San Diego, California USA). Statistical significance between groups was evaluated by two-way analysis of variance (ANOVA) followed by Dunnett’s post hoc test for multiple comparisons. P-value less than 0.05 was considered statistically significant.

Results

Development and validation of an in vitro whole-blood model for the evaluation of immunomodulatory agents

With the aim of investigating the immunomodulatory properties of ASA in a clinically relevant setting, we adapted a WB cytokine assay that preserves the physiological cellular interactions and environment [32]. In this simple model for infection-induced inflammation, the cytokines secretion in citrate-anticoagulated WB cell cultures from healthy subjects were measured in response to different agonists of human TLRs 1–9. To determine the optimal concentration of TLR ligands for detecting cytokine production in WB, we first stimulated with serial dilutions of each TLR agonist and assessed the essential immune cytokines (TNF-α, IL-6, IL-10, IL-1β and IFN-γ) in the supernatant via bead-based immunoassay. After 18h incubation, a dose-dependent cytokine production was detected for all TLR ligands, such that cells in the WB culture responded differently to TLR stimulation with respect to their amount and type of cytokine secretion (Fig 1). Depending on the class of pathogen, a wide variety of cells secrete cytokines in order to coordinate the innate and adaptive immune response during host defense [31, 33]. For further experiments, we focused on the most powerful stimulants in the minimum concentration with adequate efficacy (500 ng/ml Pam3CsK4 (TLR1/2); 108 cells/ml HKLM (TLR2); 10 ng/ml LPS (TLR4); 1 μg/ml Flagellin (TLR5); and 2.5 μg/ml ssRNA40 (TLR8)) that triggered not only pro-inflammatory cytokines (IFN-γ, IL-1β and TNF-α) but also anti-inflammatory cytokines (IL-10), including those with pleiotropic activities (IL-6).

Furthermore, we validated the biological specificity of WB assay using the classical anti-inflammatory glucocorticoid Dexamethason, which mediates its anti-inflammatory properties via inhibition of intracellular signals initiated by TLRs [3437]. WB was pre-incubated with 1 nM and 100 nM Dexamethason for 6h followed by stimulation with the various TLR ligands for 18h. From the result, 100 nM Dexamethason exhibited an almost complete inhibition of TNF-α, IL-1β, IL-6 and IFN-γ release irrespective of the TLR stimulation (Fig 2). While a similar inhibitory effect was observed for IL-10 in response to LPS and Flagellin in a weakened form (mea n = 40% and 65%, respectively), Dexamethason had no influence on IL-10 concentration after stimulation with Pam3CsK4, HKLM, and ssRNA40.

Fig 2. Concentration-dependent cytokine release inhibition through Dexamethason (DEX) in TLR-ligand stimulated WB.

Fig 2

Citrate- anticoagulated blood was incubated with Dexamethason or vehicle 6h before stimulation with Pam3CsK4, HKLM, LPS, Flagellin or ssRNA40. The cytokine production by cells stimulated without Dexamethason (vehicle) was set as 100%. Data represent mean±SD of four experiments performed in duplicate. Differences were significant at p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***) as indicated, compared to WB incubated without Dexamethason. The concentrations of TNF-α and IFN-γ upon Pam3CsK4 stimulation were below detection limit. n.d.—not detectable.

Physiologic ASA concentrations augment TLR ligand triggered immunostimulatory cytokine production

In order to evaluate the immunomodulatory impact of low ASA concentrations, we pre-incubated WB with increasing therapeutic concentrations of ASA followed by stimulation with Pam3CsK4, HKLM, LPS, Flagellin or ssRNA40. As shown in Fig 3, ASA exhibited different effects on cytokine production depending on the TLR ligand. In the presence of ASA, Pam3CsK4 induced a concentration-dependent increase in IL-1β (Fig 3A). Similarly, a significant elevation of IL-1β was detected in the supernatant of WB cultures simulated with LPS and Flagellin (Fig 3C and 3D). At the highest concentration of 0.2 mg/ml of ASA, LPS enhanced IL-10 production (mean = 175%). For ssRNA40, we observed a moderate increase in IL-6 and IFN-γ production in cells pre-incubated with ASA (Fig 3E). Notably, the stimulatory effect on IFN-γ production declined with higher ASA concentrations. In contrast, upon stimulation with HKLM, ASA demonstrated a dose-dependent inhibition of IFN-γ up to 50% (Fig 3B). In the absence of TLR ligands, addition of ASA resulted in non-significant cytokines production.

Fig 3. Immunostimulatory effect of different concentrations of acetylsalicylic acid (ASA) on TLR ligand-induced cytokine production in WB.

Fig 3

Citrate-anticoagulated blood was incubated with ASA or vehicle for 6h before stimulation with (A) Pam3CsK4 (B) HKLM (C) LPS (D) Flagellin and (E) ssRNA40. The cytokine production by cells stimulated without ASA (vehicle) was set as 100%. Data represent mean ± SD of six experiments performed in triplicate. Differences were significant at p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***) as indicated, compared to WB incubated without ASA. n.d.—not detectable.

Effect of indomethacin and celecoxib on TLR ligand stimulated cytokine production

Since low concentrations of ASA (0.01–0.1 mM) are demonstrated to primarily inhibit prostaglandin biosynthesis by targeting both COX-1 and COX-2 [38, 39] and at higher concentrations (> 5 mM) may exhibit an immunoregulatory effect mediated by inhibition of NF-κB [17], we next examined the impact of two other NSAIDs exhibiting different mechanisms of action. Indomethacin is known to inhibit COX-1 and COX-2 activity without any effect on NF-κB activation [40] and Celecoxib is described as a selective COX-2 inhibitor [41]. In our WB assay, Indomethacin showed a very slight increase in few cytokines concentration compared to ASA (Fig 4). Significant higher cytokines concentration were only observed for TNF-α and IFN-γ upon stimulation by LPS and ssRNA40, respectively (Fig 4C and 4E). In contrast, similar to ASA, addition of the highest concentration of Celecoxib triggered a substantial elevation of several cytokines in response to TLR-ligands (Fig 4). Celecoxib (0.05 mg/ml) strongly upregulated the production of IL-1β by almost 100% compared to TLR stimulation alone (Fig 4A and 4C–4E). Pre-treatment with Celecoxib also elicited an increased amount of IL-6 in supernatant of WB cultures stimulated with Pam3CsK4 and LPS (mean = 220% and 160%, respectively). A considerable increase in IL-10 production by the highest dose of Celecoxib was obtained in response to LPS (mean = 208%) and Flagellin (mean = 181%). In addition, a concentration-dependent inductive effect of Celecoxib was also observed for ssRNA-stimulated IFN-γ production (Fig 4E).

Fig 4. Minor cytokine modulating effects of Indomethacin (IND) in comparison with Celecoxib (CCXB) in TLR ligand-stimulated WB.

Fig 4

Citrate-anticoagulated blood was incubated with 0.01 and 0.05 mg/ml Indomethacin, Celecoxib or vehicle 6h before stimulation with (A) Pam3CsK4 (B) HKLM (C) LPS (D) Flagellin and (E) ssRNA40. The cytokine production by cells stimulated without Indomethacin or Celecoxib (vehicle) was set as 100%. Data represent mean ± SD of six experiments performed in duplicate. Differences were significant at a p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***) as indicated, compared to WB incubated without ASA. n.d.—not detectable.

ASA inhibits TLR-triggered PGE2 production in human WB in a dose-dependent manner

PGE2, the predominant eicosanoid in inflammatory response, is largely dependent on the activity of COX-2 [42]. We examined the influence of ASA on PGE2 production in response to TLR ligands. In an initial experiment, we validated that all TLR ligands catalyzed the formation of PGE2 compared to unstimulated WB, such that HKLM was the most potent activator (Fig 5A). Pre-incubation of blood samples with different concentrations of ASA showed a dose-dependent inhibition of TLR ligand-induced PGE2 production (Fig 5B). PGE2 production was reduced by approximately 50% in all TLR ligand-stimulated cells at the highest concentration of ASA (0.2 mg/ml). A modest decrease (20%–40%) was detected at lower ASA doses in the supernatant of WB cultures incubated with Pam3CsK4, LPS, and Flagellin. In contrast, 0.0 2mg/ml and 0.005 mg/ml of ASA were insufficient to significantly suppress PGE2 production in response to HKLM and ssRNA40.

Fig 5. ASA, IND and CCXB inhibit TLR ligand-stimulated PGE2 production in WB.

Fig 5

Citrate-anticoagulated blood was incubated with (A) Pam3CsK4, HKLM, LPS, Flagellin or ssRNA40 and PGE2 production was measured. Results are expressed as mean ± SD of four experiments performed in triplicate. Differences were significant at p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***) as indicated, compared to unstimulated WB. (B) Various concentrations of ASA or vehicle following stimulation with TLR agonists. PGE2 production is expressed in percent compared to TLR agonist alone (vehicle), which is defined as 100%. Data represent mean ± SD of four experiments performed in triplicate. (C) Various concentrations of IND, CCXB or vehicle following stimulation with TLR agonists. PGE2 production is expressed in percent compared to TLR agonist alone (vehicle), which is defined as 100%. Data represent mean ± SD of four experiments performed in duplicate. Differences were significant at p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***) as indicated, compared to WB incubated without ASA, IND or CCXB.

Similarly, Indomethacin and Celecoxib at both concentrations were able to significantly suppress TLR ligand-induced PGE2 production (Fig 5C). However, Indomethacin and Celecoxib showed a stronger inhibitory effect compared with ASA (45–95%).

Immunostimulatory properties of ASA are partially reversed by PGE2

To investigate whether the inhibitory effects of ASA on TLR agonist-mediated PGE2 production is responsible for the immunostimulatory cytokine production, exogenous PGE2 was added in excess to WB before stimulation. The exogenous PGE2 suppressed the release of IL-1β and IFN-γ in response to TLR ligands by 30%–70% compared to those of non-treated controls with the exception of ssRNA40 where no downregulation of IL-1β was observed (Fig 6). Strikingly, the inhibitory effect prevailed even in the presence of 0.2 mg/ml ASA and abolished the potentiating impact of ASA on IL-1β production upon stimulation with Pam3CsK4, LPS, and Flagellin (Fig 6A, 6C and 6D). Similarly, the reduced levels of IFN-γ did not change with the addition of ASA. However, addition of exogenous PGE2 resulted in a marked increase in IL-6 for all TLR ligands (mean = 190–865%), in IL-10 after stimulation with LPS (mean = 230%) and HKLM (mean = 148%), and in TNF-α after stimulation with LPS (mean = 220%), Flagellin (mean = 155%) and ssRNA40 (mean = 258%). Interestingly, co-incubation with 0.2mg/ml ASA had no effect on the elevated cytokine levels caused by PGE2. In contrast, IL-10 release was even suppressed by PGE2 when WB was stimulated with Pam3CsK4 (mean = 35%; Fig 6A) and showed no effect on Flagellin- and ssRNA40-induced IL-10 levels (Fig 6D and 6E).

Fig 6. Exogenous addition of PGE2 antagonizes most of the immunostimulatory effects of ASA.

Fig 6

PGE2 (5 ng/ml) was added to citrate-anticoagulated blood in the presence or absence of 0.2 mg/ml ASA before stimulation with TLR-ligands including (A) Pam3CsK4 (B) HKLM (C) LPS (D) Flagellin and (E) ssRNA40. Stimulated cells incubated without ASA and PGE2 (vehicle) set as 100%. Data represent mean ± SD of three experiments performed in triplicate.

Discussion

In the present study, we developed a straightforward technique using human WB stimulated with different TLR ligands to investigate the immunomodulatory effects of in vivo relevant plasma concentrations of ASA. The supernatant of WB cultures offers the possibility of simultaneous and quantitative detection of multiple parameters (including cytokines and PGs) that are important players in intracellular signal transduction and intercellular communications of immune cells, without changing their relative proportions in cells [43]. Upon stimulation with various TLR ligands, we detected typical patterns of secreted cytokines attributed to different TLR-associated signaling pathways and various types of responding cells [4446]. The known immunosuppressive agent, Dexamethason, confirmed the functionality of the WB assay by potently inhibiting the TLR ligand-induced cytokine production. In previous studies, anti-inflammatory cytokine (IL-10) production was less inhibited by Dexamethason compared to pro-inflammatory cytokines production (TNF-α and IL-1β) [47, 48].

In comparison with previous studies, we focused on the ability of in vivo relevant ASA concentrations that are achieved after administration of therapeutic ASA doses to modulate cytokine production in human WB after TLR ligand stimulation. ASA concentrations were selected based on reported plasma levels in literature [27, 28]. Our study revealed that physiological ASA concentrations in WB significantly increase TLR-stimulated cytokine production in a dose-dependent manner. Especially, addition of 0.02 and 0.2 mg/ml ASA enhanced the production of IL-1β, IL-10, IL-6 and IFN-γ in WB culture after TLR stimulation with Pam3CsK4, LPS, Flagellin, and ssRNA40. In contrast, an inhibitory effect of ASA was only detected for HKLM-mediated IFN-γ levels. Immunostimulatory properties of ASA were reported previously, where oral administration of ASA in healthy volunteers resulted in increased IL-1β and TNF-α synthesis by PBMCs [49] and elevated TNF-α activity in LPS-stimulated human monocytes [50]. An increased production of TNF-α, IFN-γ, IL-10, and IL-6 was also observed following LPS stimulation of WB and addition of higher ASA concentrations (1–5 mM) [25, 26]. In this study, we were able to detect an immunostimulatory effect on cytokine release even at therapeutic relevant ASA plasma concentrations and could show an immunostimulatory effect not only after LPS stimulation but also with various other TRL ligands, suggesting that the immunomodulatory capacity of ASA may be much broader than previously thought. Only male donors were included in the current experimental study to reduce confounding factors, as sex-related differences in cytokine production are evident following TLR7/8 stimulation of healthy human subjects [5153]. However, as ASA is a globally used NSAID in men and women, it would be an interesting clinical question to examine the immunomodulatory effects of ASA in female donors as well.

To further investigate the influence of COX inhibition on the immunostimulatory effects of ASA, we used Indomethacin, which inhibits COX activity without any effect on NF-κB activation [40] and Celecoxib, which is described as a selective COX-2 inhibitor [41]. In contrast to ASA, Indomethacin exhibited a weak effect on TLR-triggered cytokine production. A moderate stimulatory effect of Indomethacin was observed at the highest concentration for LPS-mediated TNF-α, IL-1β and IL-10 production as well as ssRNA40-stimulated IFN-γ production. Interestingly, the selective COX-2 inhibitor, Celecoxib, promoted a marked increase in several cytokines (IL-1β, IL-6, IL-10 and IFN-γ) which is comparable to the effect of ASA. These findings are in line with previously reported role of COX-2 inhibition for stimulatory effects of NSAIDs on the production of cytokines [25, 54].

Following TLR stimulation, various cell types express high levels of COX-2, which accounts for the production of large amounts of PGE2 [42]. We therefore focused on the downstream product of COX, PGE2, to further examine the involvement of COX-2 in the immunostimulatory effects of low-dose ASA. PGE2 is an attractive key mediator in many early inflammatory events as it is able to exhibit both promotion of anti-inflammatory effects such as IL-10 production and direct suppression of multiple pro-inflammatory cytokines including IFN-γ, TNF-α, and IL-1β to limit nonspecific inflammation, depending on the context [5558]. The biological actions of PGE2 are mediated by four distinct G protein-coupled receptors (EP1, EP2, EP3, and EP4) on the plasma membrane of target cells [59]. We confirmed that PGE2 is generated in response to all TLR ligands and determined that COX activity is influenced by ASA as measured by the dose-dependent suppression of TLR-ligand induced PGE2 production. Indomethacin and Celecoxib also reduce the production of PGE2 to baseline levels in WB [60, 61]. Consistent with the ability of PGE2 to downregulate pro-inflammatory cytokines, addition of exogenous PGE2 to WB before TLR-stimulation suppressed the production of IFN-γ and IL-1β. In turn, we found that TLR ligand-induced IL6 concentrations were further increased after addition of exogenous PGE2. PGE2 also showed enhanced production of HKLM- and LPS-released IL-10 and increased levels of TNF-α following stimulation with LPS, Flagellin and ssRNA40. In contrast, a suppressive effect of PGE2 was observed for Pam3CsK4-induced IL-10 levels. The pleiotropic roles of PGE2 in immune regulation have been described for several immune cell types, particularly those involved in innate immunity such as macrophages, neutrophils, natural killer cells, and dendritic cells (DCs) [6265]. For example, PGE2 strongly inhibits the production of Th1 cytokines, such as IFN-γ and IL-2, and favors type-2 responses in general [66]. The biasing of the immune system toward Th2 and away from Th1 responses by PGE2 is further supported by the PGE2-mediated inhibition of antigen-primed DCs to produce IL-12. These DCs produce high levels of IL-10 and directly induce the differentiation of naïve T cells into Th2 cells [6769]. In addition, NK cells secrete IFN-γ to activate macrophages during the innate immune response, which is suppressed by PGE2 [70]. The precise mechanism of these inhibitory effects remains unclear but there is evidence that intracellular cAMP, a downstream effector molecule of PGE2 signaling through the EP2/EP4 receptors, and increased production of polarizing cytokines are involved in suppressing Th1 cell-mediated immune inflammation [7175]. Blocking IL-1β processing and secretion involves inhibiting the NLR family pyrin domain containing 3 (NLRP3) inflammasome in human primary monocyte-derived macrophages, which is mediated through the EP4 receptor and increases intracellular cAMP [76, 77]. This is also supported by the finding that we detected no increase in IL-1β in response to PGE2 following stimulation with ssRNA40, because RNA analogs such as ssRNA40, activate IL-1β through the NLRP3 pathway [78, 79]. However, we found no inhibitory effect of PGE2 on pro-inflammatory TNF-α production in our WB assay. Various parameters could play a role in this discrepancy that highlights the artificial nature of in vitro experiments. It was previously reported that PGE2 exhibits dose-dependent effects on TNF-α release from rat macrophages: low concentrations had a stimulatory effect and high concentrations had an inhibitory effect [80]. In addition, the temporal context could be decisive for the mode of action of PGE2, as macrophage TNF biosynthesis is inhibited by exogenously supplied PGE2 but is insensitive to endogenously produced PGE2, most likely due to a time delay in LPS- induced PGE2 biosynthesis [81]. The induction of IL-6 by PGE2 can be explained based on activation of NF- κB [82, 83]. An increased IL-6 response to PGE2 in murine inflammatory macrophages has been suggested to be distinctively regulated than IL-10 and has been shown to be dependent on p38/MAP kinase activity [83]. Several studies demonstrated that agents that increase cAMP levels enhance IL-10 transcription [84, 85]. This also includes PGE2, which upregulates the production of IL-10 in various cell types including macrophages [86], T cells [87], and DCs [88, 89]. In addition, investigations of the inflammatory effects of PGE2 on DC functions have shown that COX-2-mediated PGE2 accounts for the boost in IL-10 release and suppresses production of pro-inflammatory cytokines, such as IL-12p70 [88, 89]. The anti-inflammatory phenotype associated with enhanced production of IL-10 is mediated by increased intracellular cAMP via the EP2 and EP4 receptor subtypes by modulating the EP/PKA/SIK/CRTC/CREB pathway [86, 9093]. EP2 and EP4 are Gs-coupled receptors that signal primarily through the adenylate cyclase-dependent cAMP/PKA/CREB pathway [65]. Importantly, our results highlight that the TLR ligands investigated induced various amounts of PGE2 and similarly, adding exogenous PGE2 resulted in different effects on cytokine production depending on the TLR ligand applied. TLRs recruit a specific set of adaptor molecules, such as MyD88 and TRIF, to initiate downstream signal transduction pathways. MyD88 is used by all TLRs except TLR3 and activates the transcription factor NF-κB and mitogen-activated protein kinases (MAPK) to induce inflammatory cytokines [29, 94]. However, some TLRs utilize additional adapter proteins including TRIF, TIRAP, and TRAM to trigger different signaling pathways from different intracellular compartments [95, 96]. Investigations of TLR-mediated PGE2 production in human DCs have demonstrated that only the TLR4 and TLR7/8 ligands released PGE2, although all TLRs are expressed and functional [97]. Differential post-transcriptional regulation was also the reason for a stronger induction of IL10 secretion via TLR4 in TLR2 and TLR4-stimulated BM derived macrophages [98, 99].

The hypothesis of a direct correlation between cytokine release and PGE2 production by ASA remains to be confirmed by a larger sample size study [100]. By adding exogenous PGE2 to compensate for the inhibitory effect of ASA on TLR-ligand induced PGE2 production, it was demonstrated that the potentiating effect of ASA on IL-1β formation was completely prevented. This may either be due to the supplemented amount of PGE2 or to an inhibitory effect of PGE2 on IL-1β. Previous studies have presumed that the immunostimulatory properties are caused by the loss of PGE2. A similar inhibitory effect of PGE2 was reported for the amplification of TNF-α by ASA after LPS stimulation [26] and for the increased production of IL-6 and TNF-α by the NSAID Indomethacin [25]. Especially for TNF-α, it has been suggested that inhibited PGE2 production is responsible for the observed stimulatory effect [50, 62, 66]. In contrast, the upregulation of IL-10 and IL-6 by ASA in this study was probably not caused by inhibiting PGE2. Lipoxins are endogenous anti-inflammatory metabolites of the arachidonic acid pathway and ASA affects the formation of lipoxin epimers resulting in the generation of 15 epi-lipoxin A4, also known as aspirin-triggered lipoxin (ATL) [101103]. Lipoxin A4 (LXA4) has been demonstrated to upregulate IL-10 through the Notch signaling pathway in murine BV2 microglia cells [104] and stimulate IL-6 generation in human monocytes [105]. Furthermore, stable 15-epi–LXA4 analogs display potent in vivo anti-inflammatory action and induce nitric oxide production for an anti-inflammatory effect [106, 107]. Thus, in addition to inhibiting PGs, ASA also triggers the formation of lipid mediators, which can be used as targets to elucidate the immunomodulatory properties of ASA.

In addition, we emphasized the distinct effects of PGE2 on cytokine secretion to modulate various steps during the inflammatory response, which originated not only from four EP receptors, but also from various levels of expression among different tissues, differences in sensitivity, the ability to activate multiple signaling pathways, and the inflammatory stimulus used. The present study indicates that PGE2 modulates immune response via regulation of cytokine signaling, as well as cytokine production, which in turn is partly responsible for the immunostimulatory effect of ASA. In summary, we established a simple and efficient assay using human WB to monitor the immunomodulatory effects of clinically relevant ASA doses in response to various TLR ligands. We demonstrated that therapeutically achieved plasma concentrations of ASA exert a boosting effect on cytokine production following stimulation with TLR ligands such as Pam3CsK4, LPS, Flagellin, and ssRNA40. Furthermore, our results indicate a potential role of PGE2 and COX-2 in mediating the immunostimulatory effects of ASA. While the immunomodulatory effect of peak plasma concentrations of ASA is clearly demonstrated, the numerous players including the dichotomous role of PGE2 in inflammation, turnover of COX enzymes in various cell types, and different signaling pathways upon TLR stimulation, requires further investigation in order to unravel the complex mechanisms behind the immunostimulatory properties of physiologically relevant ASA concentrations. While inhibiting COX with NSAIDs is conventionally regarded as an “anti-inflammatory” strategy, an alternative possibility is that NSAIDs prevent overproduction of immunosuppressive PGE2, which may represent an “immunostimulatory” strategy.

Supporting information

S1 Fig. Analysis of cellular viability and cellular composition in the WB assay.

Citrate-anticoagulated blood was treated with TLR ligands, 0.2 mg/ml ASA, 0.5 mg/ml IND, 0.5 mg/ml CCXB, 10 ng/ml PGE2 or vehicle (unstimulated). The absolute number of living cells (A), the viability of cells (B), and the cellular composition within live cells (C) were analyzed by flow cytometry. Data represent three independent experiments, each performed in triplicate. Bars indicate the mean ± SD.

(TIF)

S1 Table. Data of cytokine release by TLR ligands 1–9.

(XLSX)

S2 Table. Inhibitory effect of Dexamethason on TLR-ligand induced cytokine release.

(XLSX)

S3 Table. Immunostimulatory effect of acetylsalicylic acid on TLR-ligand induced cytokine release.

(XLSX)

S4 Table. Effect of Indomethacin and Celecoxib on TLR-ligand induced cytokine release.

(XLSX)

S5 Table. Inhibitory effect of acetylicsalicylic acid, Indomethacin, and Celecoxib on TLR-ligand induced PGE2 production.

(XLSX)

S6 Table. Effect of exogenous addition of PGE2 on immunomodulatory properties of acetylsalicylic acid.

(XLSX)

Acknowledgments

We thank all voluntary blood donors for providing blood samples at the Department of Transfusion Medicine and Hemostaseology, University Hospital Erlangen and all colleagues involved for supporting this study.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

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Decision Letter 0

Bruno Lourenco Diaz

29 Dec 2020

PONE-D-20-35446

Physiologically relevant aspirin concentrations trigger immunostimulatory cytokine production by human leukocytes

PLOS ONE

Dear Dr. Brox,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Authors described a whole blood method to evaluate the impact of aspirin treatment on cytokine production by a a panel of TLR ligands. Although seemingly more physiological doses of asqírin were used the data confirms what has been reported before that prostanoids and NSAIDs are able to modulate cytokine production in leukocytes. The whole blood has its merits, but it is less amenable to investigate potential mechanisms of action for the reported effect.

There is no clear correlation between the impact of aspirin on cytokine production and PGE2 generation. Perhaps, the authors should include a correlation plot of cytokine x PGE2 with the data for each donor. The impact of Indomethacin and Celecoxib on PGE2 generation should also be included in the manuscript.

 Authors should reconcile the paradoxical effects of aspirin and PGE2 as both treatments raise the production of IL-10, induced by LPS, and IL-6, induced by ssRNA40 (although the effect of aspirin in SSRNA40-induced IL-6 shown in figure 3E, does seem to be reproduced in figure 6E).  Simply stating the different PGE2 receptors does not provide a compelling explanation for the observed effect. Authors should also include data on the effect of PGE2 on the production of IL-10 and IL-6 induced by other TLR ligands to demonstrated that this effect is specific to LPS and ssRNA40, respectively.  

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Reviewer #1: Yes

Reviewer #2: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: This manuscript aimed to investigate the immunomodulatory role of physiological Acetylsalicylic acid concentrations in a human whole blood (WB) of infection-induced inflammation model.

The authors describe a WB assay using an array of toll-like receptor (TLR) ligands 1–9 in order to explore the immunomodulatory activity of Acetylsalicylic acid plasma concentrations in physiologically relevant conditions. Release of inflammatory cytokines and production of prostaglandin E2 (PGE2) were determined directly in plasma supernatant.

The study exploited the development and validation of an in vitro whole-blood model for the evaluation of immunomodulatory agents. The results show, accordingly the referenced WB-cytokine assay, that plasma concentrations of Acetylsalicylic acid significantly increased TLR ligand-triggered IL-1β, IL-10, and IL-6 production in a dose-dependent manner. In contrast, indomethacin did not exhibit this capacity, whereas cyclooxygenase (COX)-2 selective NSAID, celecoxib, induced a similar pattern like Acetylsalicylic acid, suggesting a possible relevance of COX-2. Accordingly, the authors found that exogenous addition of COX downstream product, PGE2, significantly antagonized most of the immunostimulatory activity of Acetylsalicylic acid.

In summary, the results indicate a potential role of PGE2 and COX-2 in mediating the immunostimulatory effects of ASA. The study opens an avenue to further investigation in order to unravel the complex mechanisms behind the immunostimulatory properties of physiologically relevant ASA concentrations.

Despite the results show support for the final conclusion, I recommend major and minor revisions.

Major issues:

1) Acetylsalicylic acid is a globally used non-steroidal anti-inflammatory drug (NSAID) in both men and women in the medical clinic. For this reason, I recommend the addition of healthy female donors in the study in order to compare effects in both sexes either a justification for not considering those samples.

2) One important set of data that should be showed is the cellular viability and the cellular composition in the WB-cytokine assay in all experimental groups. The cellular composition would give information of relative proportions of each type of leukocyte to ensure that WB-cultures correspond to the normal original range of leukocytes in male healthy donors. A flow cytometer analyses such as Annexin V and PI Apoptosis staining, could be done to evaluate viability. And a regular hematology analyzer would work to analyze the relative cell proportions. This set of data would better validate the results.

Minor issues:

1) As one of the stressline of the present study is the validation of an assay using WB samples for the study of immunomodulatory agents, which is new in this type of approach, I suggest the authors add a positive control group in each measurement of cytokines to know if the assay works properly. A simple model using an established cell line would show a worthy response. Besides, there are several references that the authors gave in the discussion that would work for this purpose. For example: Hornung V, Rothenfusser S, Britsch S, Krug A, Jahrsdörfer B, Giese T, et al. Quantitative expression of toll-like receptor 1-10 mRNA in cellular subsets of human peripheral blood mononuclear cells and sensitivity to CpG oligodeoxynucleotides. J Immunol. 2002;168(9):4531-7.

Barr TA, Brown S, Ryan G, Zhao J, Gray D. TLR-mediated stimulation of APC: Distinct cytokine responses of B cells and dendritic cells. European Journal of Immunology. 2007;37(11):3040-53.

2) Does the Tri-sodium citrate used to avoid coagulation in samples play an effect on Ca++ availability in the cultures? Is this anticoagulant the best choice for not interfering in the activity of AA-pathway enzymes?

3) Although is more practical to keep the graphs of Figure 1 as they are, I rather authors could group the cytokines into lower and higher levels, such as in Figure 1A put TNF-α and IFN-γ in the same graph and IL-6 and IL-1β in other graph, for example, to avoid scale issues. The values of cytokines as TNF-α and IFN-γ cannot be seen properly in several graphs due to high-range scale.

4) I suggest a better representation of the X axis in several graphs. For instance, in Figure 4 the treatments became very confused visually. This could be ameliorated with crosses (in case of treatment) and traces (in case of absence of treatment) in a lines and columns table-pattern bellow X axis.

5) On page 8 the sentence: "Significant higher cytokines concentration were only observed for TNF-α and IFN-γ upon stimulation by LPS and ssRNA40, respectively (Fig 4C, D)."

Should be replaced by: "Significant higher cytokines concentration were only observed for TNF-α and IFN-γ upon stimulation by LPS and ssRNA40, respectively (Fig 4C, E)."

6) On page 7 the sentence: "Similarly, a significant elevation of IL-1β was detected in the supernatant of WB cultures simulated with Flagellin and LPS (Fig 3C, D)."

Should be replaced by: "Similarly, a significant elevation of IL-1β was detected in the supernatant of WB cultures simulated with LPS and Flagellin (Fig 3C, D)."

7) In figure 5B the results display on X axis is from the highest to the lowest concentration of ASA (from left to right). It would be better if authors display this set of results as shown in the other graphs, that is from the lowest to the highest concentration of the agent (from left to right).

In an overall view, the manuscript is acceptable for publishing, presenting reasonable data support for the conclusions, appropriate statistical analysis and intelligible fashion and written in standard English. However, major and minor revisions are necessary.

Reviewer #2: The data presented by the article are relevant and demonstrate the possibility of developed a straightforward technique using human WB stimulated with different TLR ligands to investigate the immunomodulatory effects of in vivo relevant plasma concentrations of ASA.

Also, The authors could have numbered the lines to facilitate the identification of the questions for the review.

I believe that for acceptance of the manuscript the authors should consider correcting or clarifying the following points:

1 - In the introduction, the phrase “Two isoforms of COX identified: cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2)” seems to be incomplete.

2 - In the results item, in “Development and validation of an in vitro whole-blood model for the evaluation of immunomodulatory agents”, in the results of figure 1, the authors used doses 1, 10, 100 and 1000 ng of Pam3CsK4. However, for the next experiment they used the dose of 500ng, and did not explain why he used the intermediate dose used in figure 1.

3- In the results of figure 1, the authors presented the results of 2 experiments, each performed in duplicate. For this experiment, n = 2? I believe that statistical analysis should occur with a n equal to or greater than 3. Could the authors clarify the n used?

4 - In the results of figure 2, the authors presented "At the same time, low concentration of Dexamethason (1 nM) upregulated IFN-γ release when stimulated with HKLM (mean = 158%), LPS (mean = 130%) or ssRNA40 (mean = 118%) followed by a significant decline after treatment with high concentration of 100 nM of Dexamethason (mean = 50% –2%)" . However, for LPS, there was no statistically significant difference for the authors to claim an increase of 130%. Was there no significant difference or lack of indication in the graph?

And, In the results of figure 2, the authors presented the results of 2 experiments, each performed in duplicate. For this experiment, n = 2? I believe that statistical analysis should occur with a n equal to or greater than 3. Could the authors clarify the n used?

5 - In the results of figure 5A, the authors should show statistical analysis regarding the production of PGE in the stimulated groups compared to the non-stimulated group.

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Reviewer #1: Yes: Luciana Boffoni Gentile

Reviewer #2: No

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PLoS One. 2021 Aug 24;16(8):e0254606. doi: 10.1371/journal.pone.0254606.r002

Author response to Decision Letter 0


22 Mar 2021

Response to Academic Editor:

1) There is no clear correlation between the impact of aspirin on cytokine production and PGE2 generation. Perhaps, the authors should include a correlation plot of cytokine x PGE2 with the data for each donor.

Thank you for the good advice. We agree that there is no direct correlation between the impact of aspirin on cytokine production and PGE2 generation so far. However, based on our data we were not able to show a correlation between cytokine production and PGE2 generation after addition of aspirin. Since cytokine and PGE2 levels vary greatly between different donors, we assume that the current sample size (n=4-6) are not sufficient to determine to what extent the two variables are correlated with each other (Bujang et al., 2016). With our results we can only conclude that ASA has an immunostimulatory effect on cytokine release following TLR stimulation and inhibits the released PGE2. To examine whether there is a correlation between cytokine release and PGE2 levels, we performed the experiment with exogenous PGE2 addition. Here we could only show that the increased release of IL-1β by aspirin was suppressed. However, this does not confirm whether this is caused by the “refilling” of the suppressed PGE2 amount or whether it is caused by PGE2 itself. To address the reviewer’s suggestion, we pointed out in the discussion that no direct correlation between cytokine release and PGE2 production has been established so far and that other signaling pathways could also be responsible for the effects of aspirin (please see page 15 line 373-383).

2) The impact of Indomethacin and Celecoxib on PGE2 generation should also be included in the manuscript.

Following the reviewer’s suggestion, we have performed additional experiments and included data of Indomethacin and Celecoxib on PGE2 generation in Fig.5. Both compound showed a strong inhibition of TLR-ligand-induced PGE2 production, which is also described in literature (please see page page 10 line 233-235 and page 13 line 320-321).

3) Authors should reconcile the paradoxical effects of aspirin and PGE2 as both treatments raise the production of IL-10, induced by LPS, and IL-6, induced by ssRNA40 (although the effect of aspirin in SSRNA40-induced IL-6 shown in figure 3E, does seem to be reproduced in figure 6E). Simply stating the different PGE2 receptors does not provide a compelling explanation for the observed effect.

In order to address the paradoxical effects of aspirin and PGE2 in more detail, we have included additional data on page 13 line 321-372 along with adapting Fig.6 showing the effects of PGE2 on cytokine release of the TLR ligands investigated (please see also comment 4). PGE2 has been shown to promote an anti-inflammatory phenotype in various cells including macrophages, dendritic cells and natural killer cells associated with a high production of IL-10 and IL-6 and a suppressive effect on IFN-γ and IL-1β (Agard et al., 2013, Rodríguez et al., 2014). We have included additional information on the different signaling pathways among different PGE2 receptors that are involved in both inflammatory and immunosuppressive responses by PGE2 at different stages of the immune response. Therefore, we do not see any correlation between the enhanced production of IL-10 and IL-6 by ASA and PGE2 levels, since we found an inhibitory effect of ASA on PGE2 generation, which should not lead to an increase in IL-6 and IL-10. We have hypothesized that another underlying mechanism involving aspirin-triggered Lipoxins (please see page 15 line 383-390).

4) Authors should also include data on the effect of PGE2 on the production of IL-10 and IL-6 induced by other TLR ligands to demonstrate that this effect is specific to LPS and ssRNA40, respectively.

Following the reviewer’s suggestion, we have included the data for the effect of PGE2 on the production of cytokines by all investigated TLR ligands in Fig. 6. The increased production of IL-10 and IL-6 by PGE2 are also observed for other TLR ligands. The results are discussed on page 13 line 321-372 and the results were added to the abstract.

Response to Reviewer 1:

1) Acetylsalicylic acid is a globally used non-steroidal anti-inflammatory drug (NSAID) in both men and women in the medical clinic. For this reason, I recommend the addition of healthy female donors in the study in order to compare effects in both sexes either a justification for not considering those samples.

We agree with the reviewer that analysis of both sexes is helpful with respect to the clinical relevance and utilization of acetylsalicylic acid. However, previous studies demonstrated that there are sex-related differences in cytokine production following TLR7/8 stimulation in healthy human subjects (Berghöfer et al., 2006; Torcia et al., 2012; Khan et al., 2010). Since this is a basic scientific study and we wanted to exclude confounding factors, we included only male donors in this experimental study. However, in order to highlight this reviewer point, we included this discussion in our manuscript (please see page 12 lines 296-300).

2) One important set of data that should be showed is the cellular viability and the cellular composition in the WB-cytokine assay in all experimental groups. The cellular composition would give information of relative proportions of each type of leukocyte to ensure that WB-cultures correspond to the normal original range of leukocytes in male healthy donors. A flow cytometer analyses such as Annexin V and PI Apoptosis staining, could be done to evaluate viability. And a regular hematology analyzer would work to analyze the relative cell proportions. This set of data would better validate the results.

Thank you for the comment and suggestion. We performed flow cytometry analysis to determine cellular viability and cellular composition. The method is described in the material and method section (please see page 5 line 116-132) and the results have been added as supporting information (Figure S1). We observed no statistical significant difference in cellular viability and cellular composition between the investigated conditions.

3) As one of the stressline of the present study is the validation of an assay using WB samples for the study of immunomodulatory agents, which is new in this type of approach, I suggest the authors add a positive control group in each measurement of cytokines to know if the assay works properly. A simple model using an established cell line would show a worthy response. Besides, there are several references that the authors gave in the discussion that would work for this purpose. For example: Hornung V, Rothenfusser S, Britsch S, Krug A, Jahrsdörfer B, Giese T, et al. Quantitative expression of toll-like receptor 1-10 mRNA in cellular subsets of human peripheral blood mononuclear cells and sensitivity to CpG oligodeoxynucleotides. J Immunol. 2002;168(9):4531-7. Barr TA, Brown S, Ryan G, Zhao J, Gray D. TLR-mediated stimulation of APC: Distinct cytokine responses of B cells and dendritic cells. European Journal of Immunology. 2007;37(11):3040-53.

We agree with the reviewer that inclusion of a positive control is important in order to control the performance of our test system. We did not use cell lines as positive control because our focus was on whole blood stimulation and cell lines exhibit different cellular characteristics (Chen et al., 2009; Damsgaard et al., 2008). Therefore, we included the literature-known anti-inflammatory compound Dexamethason as control for drug-driven suppression of cytokine production. Furthermore, we also included negative controls to each assay to identify spontaneous cytokine release.

4) Does the Tri-sodium citrate used to avoid coagulation in samples play an effect on Ca++ availability in the cultures? Is this anticoagulant the best choice for not interfering in the activity of AA-pathway enzymes?

We agree with the reviewer that anticoagulants may have an impact on the results of whole blood assays. However, there is no ideal anticoagulant as they all affect the signaling pathways in different ways. Whereas EDTA and citrate cause calcium depletion, Heparin can inhibit the function and synthesis of cytokines (Ludwig et al. Therapeutic use of heparin beyond anticoagulant, 2009). In our whole blood assay, tris-sodium citrate coagulated blood worked well for both TLR-stimulated cytokine release and PGE2 production, which was also inhibited by acetylsalicylic acid. The interpretation of our results is supported by the fact that all samples were treated equally to ensure comparability and reproducibility.

5) Although is more practical to keep the graphs of Figure 1 as they are, I rather authors could group the cytokines into lower and higher levels, such as in Figure 1A put TNF-α and IFN-γ in the same graph and IL-6 and IL-1β in other graph, for example, to avoid scale issues. The values of cytokines as TNF-α and IFN-γ cannot be seen properly in several graphs due to high-range scale.

We thank the reviewer for this suggestion. To avoid a larger number of graphs, but still visualize the lower cytokine levels (mostly lower than 10 pg/ml), we have split the graph in three scale sections (please see Figure 1).

6) I suggest a better representation of the X axis in several graphs. For instance, in Figure 4 the treatments became very confused visually. This could be ameliorated with crosses (in case of treatment) and traces (in case of absence of treatment) in a lines and columns table-pattern bellow X axis.

We have changed the representation of the X-axis in Figures 2-4 by switching the treatment with the measured cytokines and adapted Figure 6 as suggested by the reviewer.

7) On page 8 the sentence: “Significant higher cytokines concentration were only observed for TNF-α and IFN-γ upon stimulation by LPS and ssRNA40, respectively (Fig 4C,D)” should be replaced by: "Significant higher cytokines concentration were only observed for TNF-α and IFN-γ upon stimulation by LPS and ssRNA40, respectively (Fig 4C, E)."

We have changed the sentence accordingly (please see page 9 line 204-205).

8) On page 7 the sentence: "Similarly, a significant elevation of IL-1β was detected in the supernatant of WB cultures simulated with Flagellin and LPS (Fig 3C, D)" should be replaced by: "Similarly, a significant elevation of IL-1β was detected in the supernatant of WB cultures simulated with LPS and Flagellin (Fig 3C, D)."

We have changed the sentence accordingly (please see page 8 line 182-183).

9) In figure 5B the results display on X axis is from the highest to the lowest concentration of ASA (from left to right). It would be better if authors display this set of results as shown in the other graphs, that is from the lowest to the highest concentration of the agent (from left to right).

We have changed Figure 5B as suggested by the reviewer.

Response to Reviewer 2:

1) In the introduction, the phrase “Two isoforms of COX identified: cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2)” seems to be incomplete.

We have revised this phrase and completed accordingly (please see page 3 line 48-49).

2) In the results item, in “Development and validation of an in vitro whole-blood model for the evaluation of immunomodulatory agents”, in the results of figure 1, the authors used doses 1, 10, 100 and 1000 ng of Pam3CsK4. However, for the next experiment they used the dose of 500ng, and did not explain why he used the intermediate dose used in figure 1.

Following the reviewer’s suggestion, we have included an explanation for the use of 500 ng Pam3CsK4 to the manuscript (please see page 7 line 152-153).

3) In the results of figure 1, the authors presented the results of 2 experiments, each performed in duplicate. For this experiment, n = 2? I believe that statistical analysis should occur with a n equal to or greater than 3. Could the authors clarify the n used?

Please note that we did not do statistical analysis on the experiments shown in Figure 1 because the purpose of these experiments was only to identify the optimal TLR ligand concentrations for cytokine production.

4) In the results of figure 2, the authors presented "At the same time, low concentration of Dexamethason (1 nM) upregulated IFN-γ release when stimulated with HKLM (mean = 158%), LPS (mean = 130%) or ssRNA40 (mean = 118%) followed by a significant decline after treatment with high concentration of 100 nM of Dexamethason (mean = 50% –2%)". However, for LPS, there was no statistically significant difference for the authors to claim an increase of 130%. Was there no significant difference or lack of indication in the graph?

Following the reviewer’s point 5, we have performed additional experiments to improve the statistical analysis. Low concentration of Dexamethason showed only a slight upregulation of IFN-γ release when stimulated with HKLM (mean = 124%). We have therefore deleted this observation on page 7.

5) In the results of figure 2, the authors presented the results of 2 experiments, each performed in duplicate. For this experiment, n = 2? I believe that statistical analysis should occur with a n equal to or greater than 3. Could the authors clarify the n used?

We agree on this point and have performed additional experiments for a statistical analysis with n = 4 (please see Figure 2).

6) In the results of figure 5A, the authors should show statistical analysis regarding the production of PGE in the stimulated groups compared to the non-stimulated group.

Following the reviewer’s suggestion, we added statistical data regarding the production of PGE2. (please see figure 5A).

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Bruno Lourenco Diaz

30 Jun 2021

Physiologically relevant aspirin concentrations trigger immunostimulatory cytokine production by human leukocytes

PONE-D-20-35446R1

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Acceptance letter

Bruno Lourenco Diaz

9 Aug 2021

PONE-D-20-35446R1

Physiologically relevant aspirin concentrations trigger immunostimulatory cytokine production by human leukocytes

Dear Dr. Brox:

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If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Analysis of cellular viability and cellular composition in the WB assay.

    Citrate-anticoagulated blood was treated with TLR ligands, 0.2 mg/ml ASA, 0.5 mg/ml IND, 0.5 mg/ml CCXB, 10 ng/ml PGE2 or vehicle (unstimulated). The absolute number of living cells (A), the viability of cells (B), and the cellular composition within live cells (C) were analyzed by flow cytometry. Data represent three independent experiments, each performed in triplicate. Bars indicate the mean ± SD.

    (TIF)

    S1 Table. Data of cytokine release by TLR ligands 1–9.

    (XLSX)

    S2 Table. Inhibitory effect of Dexamethason on TLR-ligand induced cytokine release.

    (XLSX)

    S3 Table. Immunostimulatory effect of acetylsalicylic acid on TLR-ligand induced cytokine release.

    (XLSX)

    S4 Table. Effect of Indomethacin and Celecoxib on TLR-ligand induced cytokine release.

    (XLSX)

    S5 Table. Inhibitory effect of acetylicsalicylic acid, Indomethacin, and Celecoxib on TLR-ligand induced PGE2 production.

    (XLSX)

    S6 Table. Effect of exogenous addition of PGE2 on immunomodulatory properties of acetylsalicylic acid.

    (XLSX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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