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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2020.00613</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Anti-Inflammatory Properties of Chemical Probes in Human Whole Blood: Focus on Prostaglandin E<sub>2</sub> Production</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bergqvist</surname><given-names>Filip</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/686930"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sundstr&#xf6;m</surname><given-names>Yvonne</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shang</surname><given-names>Ming-Mei</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/965003"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gunnarsson</surname><given-names>Iva</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lundberg</surname><given-names>Ingrid E.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/66955"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sundstr&#xf6;m</surname><given-names>Michael</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jakobsson</surname><given-names>Per-Johan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/11767"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Berg</surname><given-names>Louise</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/913093"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, and Karolinska University Hospital</institution>, <addr-line>Stockholm</addr-line>, <country>Sweden</country></aff>
<aff id="aff2"><sup>2</sup><institution>The Structural Genomic Consortium (SGC), Karolinska Institutet</institution>, <addr-line>Stockholm</addr-line>, <country>Sweden</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ulrike Garscha, Friedrich Schiller University Jena, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Cristina L&#xf3;pez-Vicario, Hospital Cl&#xed;nic de Barcelona, Spain; Giustino Orlando, Universit&#xe0; degli Studi G. d'Annunzio Chieti e Pescara, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Filip Bergqvist, <email xlink:href="mailto:Bergqvist.Filip@gmail.com">Bergqvist.Filip@gmail.com</email>; Louise Berg, <email xlink:href="mailto:Louise.Berg@ki.se">Louise.Berg@ki.se</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Inflammation Pharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>613</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>02</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>04</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2020 Bergqvist, Sundstr&#xf6;m, Shang, Gunnarsson, Lundberg, Sundstr&#xf6;m, Jakobsson and Berg</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Bergqvist, Sundstr&#xf6;m, Shang, Gunnarsson, Lundberg, Sundstr&#xf6;m, Jakobsson and Berg</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>We screened 57 chemical probes, high-quality tool compounds, and relevant clinically used drugs to investigate their effect on pro-inflammatory prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) production and interleukin-8 (IL-8) secretion in human whole blood. Freshly drawn blood from healthy volunteers and patients with systemic lupus erythematosus (SLE) or dermatomyositis was incubated with compounds at 0.1 or 1 &#xb5;M and treated with lipopolysaccharide (LPS, 10 &#xb5;g/ml) to induce a pro-inflammatory condition. Plasma was collected after 24 h for lipid profiling using liquid chromatography tandem mass spectrometry (LC-MS/MS) and IL-8 quantification using enzyme-linked immunosorbent assay (ELISA). Each compound was tested in at least four donors at one concentration based on prior knowledge of binding affinities and <italic>in vitro</italic> activity. Our screening suggested that PD0325901 (MEK-1/2 inhibitor), trametinib (MEK-1/2 inhibitor), and selumetinib (MEK-1 inhibitor) decreased while tofacitinib (JAK inhibitor) increased PGE<sub>2</sub> production. These findings were validated by concentration&#x2013;response experiment in two donors. Moreover, the tested MEK inhibitors decreased thromboxane B<sub>2</sub> (TXB<sub>2</sub>) production and IL-8 secretion. We also investigated the lysophophatidylcholine (LPC) profile in plasma from treated whole blood as these lipids are potentially important mediators in inflammation, and we did not observe any changes in LPC profiles. Collectively, we deployed a semi-high throughput and robust methodology to investigate anti-inflammatory properties of new chemical probes.</p>
</abstract>
<kwd-group>
<kwd>prostaglandin E<sub>2</sub></kwd>
<kwd>whole blood assay</kwd>
<kwd>interleukin-8</kwd>
<kwd>inflammation</kwd>
<kwd>drug screen</kwd>
</kwd-group>
<contract-sponsor id="cn001">Innovative Medicines Initiative<named-content content-type="fundref-id">10.13039/501100010767</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Vetenskapsr&#xe5;det<named-content content-type="fundref-id">10.13039/501100004359</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Stockholms L&#xe4;ns Landsting<named-content content-type="fundref-id">10.13039/501100004348</named-content>
</contract-sponsor>
<contract-sponsor id="cn004">Reumatikerf&#xf6;rbundet<named-content content-type="fundref-id">10.13039/501100007949</named-content>
</contract-sponsor>
<contract-sponsor id="cn005">Stiftelsen Konung Gustaf V:s 80-&#xe5;rsfond<named-content content-type="fundref-id">10.13039/501100007857</named-content>
</contract-sponsor>
<contract-sponsor id="cn006">Karolinska Institutet<named-content content-type="fundref-id">10.13039/501100004047</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="8"/>
<word-count count="3826"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<list list-type="bullet">
<list-item>
<p>Inhibitors for MEK decreased PGE<sub>2</sub> and TXB<sub>2</sub> production</p>
</list-item>
<list-item>
<p>Inhibitors for MEK and ERK decreased IL-8 secretion</p>
</list-item>
<list-item>
<p>JAK inhibitor tofacitinib increased PGE<sub>2</sub> and TXB<sub>2</sub> production</p>
</list-item>
</list>
</sec>
<sec id="s2" sec-type="intro">
<title>Introduction</title>
<p>Inflammation is a highly controlled immune response to eliminate the cause of tissue injury or infection and to initiate tissue repair back to homeostasis <italic>via</italic> resolution (<xref ref-type="bibr" rid="B25">Nathan, 2002</xref>; <xref ref-type="bibr" rid="B8">Buckley et al., 2013</xref>). However, inflammation is not always terminated. Unresolved inflammation causes persistent pain, tissue degeneration, and loss of function. In particular, inflammatory responses drive many autoimmune diseases (<xref ref-type="bibr" rid="B24">McInnes and Schett, 2011</xref>) and inflammation is a hallmark of cancer (<xref ref-type="bibr" rid="B14">Hanahan and Weinberg, 2011</xref>). Thus, there is a great need for new therapies that are anti-inflammatory and safe.</p>
<p>Prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) is a potent lipid mediator of inflammation and immune responses, and PGE<sub>2</sub> is a central mediator of pain, edema, and cartilage erosion typically observed in the joints of rheumatoid arthritis patients (<xref ref-type="bibr" rid="B2">Akaogi et al., 2012</xref>; <xref ref-type="bibr" rid="B13">Fattahi and Mirshafiey, 2012</xref>). In addition, PGE<sub>2</sub> is a promotor of the immunosuppressive tumor microenvironment with major impact on tumor progression (<xref ref-type="bibr" rid="B33">Wang and Dubois, 2010</xref>; <xref ref-type="bibr" rid="B14">Hanahan and Weinberg, 2011</xref>; <xref ref-type="bibr" rid="B28">Ricciotti and Fitzgerald, 2011</xref>). During inflammation, PGE<sub>2</sub> is synthesized <italic>via</italic> conversion of arachidonic acid by cyclooxygenases (COX-1 and COX-2) into unstable PGH<sub>2</sub> that is further metabolized by the inducible terminal synthase microsomal prostaglandin E synthase-1 (mPGES-1) to generate PGE<sub>2</sub>. Multiple non-steroidal anti-inflammatory drugs (NSAIDs) exist in clinical practice that unselectively decrease PGE<sub>2</sub> production <italic>via</italic> inhibition of COX, but these drugs are all associated with adverse effects. Hence, selective inhibition of PGE<sub>2</sub> production with small molecule inhibitors could therefore be a desirable therapeutic strategy in inflammation and cancer (<xref ref-type="bibr" rid="B7">Bergqvist et al., 2020</xref>).</p>
<p>Interleukin-8 (IL-8) is a potent chemoattractant and activator of neutrophils. IL-8 signaling is implicated in multiple chronic inflammatory diseases (<xref ref-type="bibr" rid="B29">Russo et al., 2014</xref>) and cancer (<xref ref-type="bibr" rid="B34">Waugh and Wilson, 2008</xref>). For example, a recent meta-analysis concluded that patients suffering from systemic lupus erythematosus (SLE) have increased levels of circulating IL-8 (<xref ref-type="bibr" rid="B21">Mao et al., 2018</xref>). Patients with central neuropsychiatric SLE have increased concentration of IL-8 in cerebrospinal fluid compared to patients with non-central neuropsychiatric SLE (<xref ref-type="bibr" rid="B35">Yoshio et al., 2016</xref>). IL-8 is also associated with renal damage and pulmonary fibrosis in SLE patients (<xref ref-type="bibr" rid="B20">Lit et al., 2006</xref>; <xref ref-type="bibr" rid="B26">Nielepkowicz-Go&#x17a;dzi&#x144;ska et al., 2014</xref>). Given that IL-8 is a stimulant for neutrophil activation, which plays a significant role in the pathogenesis of SLE (<xref ref-type="bibr" rid="B16">Kaplan, 2011</xref>), targeting IL-8 secretion or signaling could constitute a therapeutic strategy for SLE. A similar role of neutrophils and net formation has been reported in patients with dermatomyositis (DM) (<xref ref-type="bibr" rid="B37">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Peng et al., 2018</xref>). In cancer, IL-8 is highly expressed in several types of cancer tissues (<xref ref-type="bibr" rid="B11">David et al., 2016</xref>) and serum concentration of IL-8 correlates with tumor burden (<xref ref-type="bibr" rid="B3">Alfaro et al., 2017</xref>). The tumor-favoring actions of IL-8 include promotion of angiogenesis, increased survival of cancer stem cells, and attraction of myeloid cells that indorse the immunosuppressive tumor microenvironment (<xref ref-type="bibr" rid="B3">Alfaro et al., 2017</xref>).</p>
<p>In this study, we aimed to evaluate the effect of 57 chemical probes, high-quality tool compounds, and relevant control drugs on eicosanoid production and IL-8 secretion in human whole blood. A chemical probe is defined as &#x201c;&#x2026; a selective small-molecule modulator of a protein&#x2019;s function that allows the user to ask mechanistic and phenotypic questions about its molecular target in biochemical, cell-based or animal studies&#x201d; (<xref ref-type="bibr" rid="B4">Arrowsmith et al., 2015</xref>), and these compounds follow the criteria of <italic>in vitro</italic> potency (IC<sub>50</sub> or Kd &lt;100 nM), high selectivity versus other protein subfamilies (&gt;30-fold), and on-target cell activity at 1 &#xb5;M. The chemical probes and other high-quality tool compounds included are mainly epigenetic modulators and kinase inhibitors that were produced in academic collaborations or donated by pharmaceutical companies within the Structural Genomic Consortium (SGC, <uri xlink:href="http://www.thesgc.org">www.thesgc.org</uri>), which aims to investigate novel targets for drug development in open science and in collaboration with the pharmaceutical industry. These inhibitors were tested here at one concentration (in triplicates, n = 4&#x2013;15 donors) based on previous knowledge of binding affinities and toxicity <italic>in vitro</italic>, as assessed using other validated assays in our laboratories (<uri xlink:href="https://ultra-dd.org/tissue-platforms/cell-assay-datasets">https://ultra-dd.org/tissue-platforms/cell-assay-datasets</uri>).</p>
</sec>
<sec id="s3" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s3_1">
<title>Ethical Approval and Consent to Participate</title>
<p>Ethical approval for this study was granted by local research ethics committee at Karolinska University hospital (Dnr 02-196) and the Regional Ethical Review Board in Stockholm (Dnr 2015/2001-31/2). Full informed consent according to the Declaration of Helsinki was obtained from all patients.</p>
</sec>
<sec id="s3_2">
<title>Collection of Blood</title>
<p>Peripheral venous blood was drawn from 10 females and 6 males, aged between 27 and 81 years. Healthy controls (n = 4) and two patient groups were included: SLE (n = 9) and DM (n = 3). Patients with diagnosis SLE or DM and aged 18 or older were recruited from the Rheumatology Clinic at Karolinska University Hospital. Patients with ongoing treatment including Sendoxan (cyclophosphamide) and Benlysta (belimumab) or with kidney failure as defined by present dialysis or previous kidney transplantation were excluded. Disease activity measurements were not obtained at the time of sampling. For healthy control and patients characteristics, see <xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table 1</bold></xref>. The blood was collected in tubes containing sodium heparin (1000 U/ml).</p>
</sec>
<sec id="s3_3">
<title>Inhibitors</title>
<p>The inhibitors (chemical probes and other high-quality tool compounds) tested here were obtained through the SGC (<uri xlink:href="http://www.thesgc.org">www.thesgc.org</uri>) and supplied by different distributers (<xref ref-type="supplementary-material" rid="ST2"><bold>Supplementary Table 2</bold></xref>). Inhibitors and control drugs (<xref ref-type="supplementary-material" rid="ST2"><bold>Supplementary Table 2</bold></xref>) were reconstituted at 10 mM in DMSO (D2250, Sigma-Aldrich), aliquoted in Eppendorf tubes or 96-well plates, and kept at &#x2212;80&#xb0;C. A fresh aliquot was used at each experiment. Diclofenac (dual COX-1/2 inhibitor) was used as positive control for inhibition of prostanoid production. Lipopolysaccharide (LPS; L6529, Sigma-Aldrich) was reconstituted in phosphate-buffered saline (PBS) (D8537, Sigma-Aldrich) to a final concentration of 0.1 mg/ml and kept at +8&#xb0;C.</p>
</sec>
<sec id="s3_4">
<title>Whole Blood Assay</title>
<p>Inhibitors and vehicle control (DMSO) were diluted in PBS at room temperature with no direct light on. The treatments were prepared in 25 &#xb5;l portions to U-shaped 96-well plate and 200 &#xb5;l of freshly drawn heparin blood (&lt; 2 h at room temperature) was added to the plate. The plate was incubated at 37&#xb0;C for 30 min and then 25 &#xb5;l of 0.1 mg/ml LPS in PBS was added followed by pipetting up and down 3 times (final concentration of LPS was 10 &#xb5;g/ml). The tested concentration for inhibitor was 0.1 or 1 &#xb5;M (<xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table 1</bold></xref>). The plate was incubated for 24 h at 37&#xb0;C and then centrifuged at 3000<italic>g</italic> for 10 min at 4&#xb0;C. Working on ice, 100 &#xb5;l plasma was recovered to a new plate (for prostanoid profiling) and from this 20 &#xb5;l was transferred to a second plate (for IL-8 quantification). The plates were sealed with aluminum foil and stored at -80&#xb0;C.</p>
</sec>
<sec id="s3_5">
<title>Extraction of Lipids</title>
<p>Plasma samples (80&#x2013;240 &#xb5;l) were thawed on ice and spiked with 50 &#xb5;l deuterated internal standard mix containing 17 ng 6-keto-PGF<sub>1&#x3b1;</sub>-d4, 8 ng PGF<sub>2&#x3b1;</sub>-d4, 12 ng PGE<sub>2</sub>-d4, 8 ng PGD<sub>2</sub>-d4, 8 ng thromboxane B<sub>2</sub> (TXB<sub>2</sub>)-d4, and 8 ng 15-deoxy-&#x394;12,14PGJ<sub>2</sub>-d4 (Cayman Chemical Company) prepared in 100% methanol. Protein precipitation was performed by addition of 800 &#xb5;l 100% methanol, followed by vortexing, and centrifugation at 3000<italic>g</italic> for 10 min at 4&#xb0;C. The supernatants were collected in a new plate and evaporated under vacuum for 4 h. The evaporated samples (100&#x2013;200 &#xb5;l) were diluted to 1 ml with 0.05% formic acid in water and then loaded onto Oasis HLB 1 cc 30 mg plate (Waters Corporation, USA) that had been pre-conditioned with 1 ml of 100% methanol and 1 ml of 0.05% formic acid in water. The plate was washed with 10% methanol, 0.05% formic acid in water and lipids were eluted with 100% methanol. The eluates were dried under vacuum overnight and stored at &#x2212;20&#xb0;C until reconstituted in 50 &#xb5;l of 20% acetonitrile in water prior to analysis with liquid chromatography tandem mass spectrometry (LC-MS/MS).</p>
</sec>
<sec id="s3_6">
<title>Lipid Profiling by LC-MS/MS</title>
<p>Lipids were quantified in negative mode with multiple reaction monitoring method, using a triple quadrupole mass spectrometer (Acquity TQ detector, Waters) equipped with an Acquity H-class UPLC (Waters). Eicosanoid were purchased from Cayman Chemicals and individually optimized for based on precursor ion m/z, cone voltage, collision energy, and fragment ion m/z (<xref ref-type="supplementary-material" rid="ST3"><bold>Supplementary Table 3</bold></xref>). An eicosanoid mix containing all standards of interest was used to check interference in the LC-MS/MS analysis. Lysophophatidylcholine (LPC)(14:0) and LPC(18:0) were used to set optimal analytical parameters for quantification of LPCs. Separation of lipids was performed on a 50 &#xd7; 2.1-mm Acquity UPLC BEH C18 column 1.7 &#xb5;m (Waters) with a 12-min stepwise linear gradient (20%&#x2013;95%) at a flowrate of 0.6 ml/min with 0.05% formic acid in acetonitrile as mobile phase B and 0.05% formic acid in water as mobile phase A. Data were analyzed using MassLynx software, version 4.1, with internal standard calibration and quantification to external standard curves for prostanoids. LPCs were normalized as area-% within each injection. Only lipids with peaks intensities of signal-to-noise greater than 10 (S/N &gt;10) were considered in our data analysis.</p>
</sec>
<sec id="s3_7">
<title>Development of Whole Blood Assay</title>
<p>The whole blood assay was developed to screen for changes in multiple eicosanoids. Each eicosanoid and corresponding deuterated variant were individually optimized in the LC-MS/MS analysis. A dilution curve containing 6-keto PGF<sub>1&#x3b1;</sub>-d4, PGE<sub>2</sub>-d4, PGD<sub>2</sub>-d4, PGF<sub>2&#x3b1;</sub>-d4, TXB<sub>2</sub>-d4, 15d-PGJ<sub>2</sub>-d4, LTB<sub>4</sub>-d4, LTC<sub>4</sub>-d5, LTD<sub>4</sub>-d5, 5-HETE-d8, 12-HETE-d8, 15-HETE-d8, and undeuterated variants of 13-HODE, RvD1, RvD2, 17-hydroxy DHA, and protectin DX was spiked into 100 &#xb5;l plasma at different stages throughout the extraction. A dilution curve was spiked in water at the same step. The dilution curve ranged from 0.006 to 1.5 pmol as final amount injected on the column in the LC-MS/MS analysis. This enabled us to investigate the lower limit of quantification (LLOQ), recovery efficacy, and matrix effect for each eicosanoid. The LLOQ injected on column was considered as great (0.02&#x2013;0.05 pmol), good (0.1&#x2013;0.2 pmol), or poor (0.4&#x2013;1.5 pmol). Eicosanoids with great LLOQ were PGE<sub>2</sub>, PGF<sub>2&#x3b1;</sub>, TXB<sub>2</sub>, RvD1, RvD2, LTB<sub>4</sub>, protectin DX, and 13-HODE; good LLOQ were 6-keto PGF<sub>1&#x3b1;</sub>, PGD<sub>2</sub>, 5-HETE, 15-HETE, and LTD<sub>4</sub>; poor LLOQ were 15d-PGJ<sub>2</sub>, 12-HETE, 17-hydroxy DHA, and LTC<sub>4</sub>. The extraction recovery rates were 33%&#x2013;125%. The response in plasma compared to 20% acetonitrile were 52%&#x2013;116% due to matrix effects. The estimated LLOQ in 100 &#xb5;l plasma was approximately 1 ng/ml for the best performing eicosanoids including PGE<sub>2</sub>, TXB<sub>2</sub>, PGF<sub>2&#x3b1;</sub>, RvD1, RvD2, and protectin DX. We can conclude that the method provided similar quantitative performance in plasma for many eicosanoids.</p>
<p>LPS at 10 &#xb5;g/ml induced PGE<sub>2</sub> and TXB<sub>2</sub> production in human whole blood, which are the two dominant eicosanoids produced under these conditions (<xref ref-type="bibr" rid="B22">Mazaleuskaya et al., 2016</xref>). All other eicosanoids were below the LLOQ. We chose 10 &#xb5;g/ml of LPS based on the consensus in the literature for this type of assay, yielding a robust amount of PGE<sub>2</sub> (49 &#xb1; 4 ng/ml, n = 5 donors) and TXB<sub>2</sub> (24 &#xb1; 9 ng/ml, n = 5 donors). The prostanoid production was completely blocked using the dual COX-1/2 inhibitor diclofenac (10 &#xb5;M). High concentration of DMSO (0.1%) slightly decreased PGE<sub>2</sub> production by 20% (n = 2 donors) while DMSO at 0.01% or 0.001% had no effect. The intra-assay coefficient of variation (CV, n = 20 technical replicates) was 12% and 11% for PGE<sub>2</sub> and TXB<sub>2</sub>, respectively. The inter-assay CV for control material (n = 3 donors) was 20% for PGE<sub>2</sub> and 30% for TXB<sub>2</sub>. This was performed on blood that was drawn, incubated, extracted, and analyzed at separate occasions. The suppression in signal due to matrix effects and/or recovery efficiency varied between donors and experiments, ranging from 10% to 70% suppression compared to signal in extracted blank (mean &#xb1; SD, n = 6 donors, PGE<sub>2</sub>: 45% &#xb1; 25%, TXB<sub>2</sub>: 40 &#xb1; 20%). In summary, 24-h incubation of whole blood with 10 &#xb5;g/ml LPS resulted in profound induction of the COX-1/2 products PGE<sub>2</sub> and TXB<sub>2</sub> that was efficiently blocked by diclofenac at 10 &#xb5;M.</p>
</sec>
<sec id="s3_8">
<title>Quantification of IL-8</title>
<p>IL-8 was quantified in plasma by human IL-8 (CXCL8) enzyme-linked immunosorbent assay (ELISA) development kit (3560-1H, Mabtech) according to manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s3_9">
<title>Statistical Analyses</title>
<p>Data are presented as mean &#xb1; SEM if not stated otherwise. Statistical analyses were performed using GraphPad Prism 6 (GraphPad Software). One-sample t-test and two-sample t-test with Bonferroni correction were used to test significant difference. Statistical significance level was set to p &lt; 0.05.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<title>Results</title>
<sec id="s4_1">
<title>Effect on PGE<sub>2</sub> and TXB<sub>2</sub> Production</title>
<p>Our screening of inhibitors suggested that selected kinase inhibitors affected prostanoid production (<xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>). The strongest reduction in PGE<sub>2</sub> production was observed by MEK-1 inhibitor PD0325901 (31% &#xb1; 6%, p = 0.001, n = 4) and MEK-1/2 inhibitor trametinib (34% &#xb1; 7%, p &lt; 0.0001, n = 15). Moderate suppression in PGE<sub>2</sub> concentration was found for MEK-1/2 inhibitor selumetinib (65% &#xb1; 9%, p = 0.02, n = 5), ERK-1/2 inhibitor SCH772984 (76% &#xb1; 11%, p = 0.04, n = 13), and p38 inhibitor skepinone-L (76% &#xb1; 8%, p = 0.01, n = 13). However, the tested p38 inhibitor pamapimod did not affect PGE<sub>2</sub> production. Two of these compounds decreased TXB<sub>2</sub> production, namely trametinib (63% &#xb1; 6%, p = 0.02, n = 15) and selumetinib (74% &#xb1; 7%, p = 0.02, n = 5). Diclofenac, here used as a positive control for inhibition of prostanoid production, blocked the prostanoid production while selective COX-2 inhibitor NS-398 inhibited only PGE<sub>2</sub> production, in agreement with previously reported data for these compounds in whole blood assay (<xref ref-type="bibr" rid="B18">Larsson et al., 2019</xref>). The JAK inhibitor tofacitinib increased both PGE<sub>2</sub> (286% &#xb1; 51%, p = 0.01, n = 6) and TXB<sub>2</sub> (169% &#xb1; 20%, p = 0.02, n = 6) production. The IRAK-1/4 inhibitor I slightly increased the concentrations of PGE<sub>2</sub> (139% &#xb1; 15%, p = 0.04, n = 7) and TXB<sub>2</sub> (133% &#xb1; 8%, p = 0.008, n&#xa0;= 7).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Volcano plots showing effects on PGE<sub>2</sub> <bold>(A)</bold> and TXB<sub>2</sub> <bold>(B)</bold> production in LPS-induced human whole blood. The top altered conditions compared to vehicle control based on fold-change (&lt; 0.5 or &gt;2) and p-value (&lt; 0.05) are highlighted. Each inhibitor was tested in 4&#x2013;15 donors. Statistical significance was tested using one-sample t-test (p &lt; 0.05). PGE<sub>2</sub>, prostaglandin E<sub>2</sub>; LPS, lipopolysaccharide; TXB<sub>2</sub>, thromboxane B<sub>2</sub>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-00613-g001.tif"/>
</fig>
<p>We chose to investigate the strongest observed effects in more detail by performing concentration&#x2013;response experiments for PD0325901, trametinib, selumetinib, and tofacitinib. All three MEK inhibitors showed a concentration-dependent response on both PGE<sub>2</sub> and TXB<sub>2</sub> production while tofacitinib showed a concentration-dependent response on PGE<sub>2</sub> production (<xref ref-type="fig" rid="f2"><bold>Figure 2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>Validation of inhibitory effect on PGE<sub>2</sub> <bold>(A)</bold> and TXB<sub>2</sub> <bold>(B)</bold> production by MEK inhibitors in human whole blood. Diclofenac at 10 &#xb5;M was used as positive control. Data are presented as mean &#xb1; SD of biological replicates (n = 2-6 per condition) from one representative experiment. The absolute prostanoid production in LPS control was 53.3 &#xb1; 8.3 ng/ml for PGE<sub>2</sub> and 15.5 &#xb1; 2.1 ng/ml for TXB<sub>2</sub>. The concentration&#x2013;response was tested in two donors. Statistical significance was tested using two-sample t-test with Bonferroni correction (p &lt; 0.05). The asterisk (*) represents statistical significance to vehicle control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-00613-g002.tif"/>
</fig>
</sec>
<sec id="s4_2">
<title>Effect on IL-8 Secretion</title>
<p>In line with the effect on prostanoid production, reduction in IL-8 secretion was found for PD0325901 (24% &#xb1; 9%, p = 0.03, n = 3), trametinib (27% &#xb1; 5%, p &lt; 0.0001, n = 13), and selumetinib (45% &#xb1; 10%, p = 0.03, n = 3) (<xref ref-type="fig" rid="f3"><bold>Figure 3</bold></xref>). Moderate reduction in IL-8 secretion was found for SCH772984 (62% &#xb1; 9%, p = 0.002, n = 12) and diclofenac (66% &#xb1; 8%, p = 0.003, n = 11). We could also observe that tofacitinib increased IL-8 secretion (225% &#xb1; 57%, p = 0.16, n = 3), however not with statistical significance.</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>Volcano plot showing effects on IL-8 secretion in LPS-induced human whole blood. The top altered conditions compared to vehicle control based on fold-change (&lt; 0.5 or &gt;2) and p-value (&lt; 0.05) are highlighted. Each inhibitor was tested in 3&#x2013;13 donors. Statistical significance was tested using one sample t-test (p &lt; 0.05). IL-8, interleukin-8.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-00613-g003.tif"/>
</fig>
</sec>
<sec id="s4_3">
<title>Effect on LPC Profile</title>
<p>We measured LPC species within our targeted LC-MS/MS analysis. LPCs are mainly generated by metabolism of membrane phosphatidylcholine by cytosolic phospholipase A<sub>2</sub> (<xref ref-type="bibr" rid="B9">Burke and Dennis, 2009</xref>). These lipids have been reported to be involved in several cellular processes; sometimes with opposing effect depending on degree of saturation, concentration, and biological context (<xref ref-type="bibr" rid="B31">Sevastou et al., 2013</xref>; <xref ref-type="bibr" rid="B12">Drzazga et al., 2014</xref>). We observed no difference in total LPC or LPC profile when whole blood was treated with LPS neither did any of the tested inhibitors alter the LPC profile (<xref ref-type="fig" rid="f4"><bold>Figure 4</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>Effect on LPC profile in whole blood. There was no difference in total LPC <bold>(A)</bold> or LPC profile <bold>(B)</bold> with LPS treatment, and none of the tested compounds affected the LPC profile <bold>(C)</bold>. Each inhibitor was tested in 4&#x2013;15 donors. LPC, lysophophatidylcholine.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-00613-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<title>Discussion</title>
<p>We have tested the inhibitory effect on prostanoid production and IL-8 secretion in human whole blood for 57 high-quality inhibitors with known target specificities and <italic>in vitro</italic> potencies. None of the tested epigenetic modulators, which are acting on demethylases, bromodomains, or methyltransferases, affected PGE<sub>2</sub> or IL-8 concentration. Inhibition of MEK-1/2 or ERK decreased PGE<sub>2</sub> production and IL-8 secretion in this assay. This effect was observed for allosteric inhibitor trametinib (MEK-1/2), non-ATP-competitive inhibitors PD0325901 (MEK-1) and selumetinib (MEK-1/2), and ATP-competitive inhibitor SCH772984 (ERK-1/2). These kinase targets are part of the RAS/RAF/MEK/ERK signaling transduction pathway, where inhibition of MEK prevents the downstream phosphorylation and activation of ERK that ultimately regulates cellular responses such as survival, lipid metabolism, and protein translation (<xref ref-type="bibr" rid="B23">McCubrey et al., 2007</xref>). For example, MEK-1/2 inhibitor PD184352 decreased PGE<sub>2</sub> production in melanoma cell line by decreased COX-2 expression due to inhibition of phosphorylation on ERK (<xref ref-type="bibr" rid="B36">Zelenay et al., 2015</xref>) and trametinib reduced IL-8 production in melanoma cell line (<xref ref-type="bibr" rid="B15">Hartman et al., 2017</xref>). We found that our positive control diclofenac for blocking prostanoid production decreased IL-8 secretion, which is explained by the fact that PGE<sub>2</sub> stimulates IL-8 production in cultured cells (<xref ref-type="bibr" rid="B1">Agro et al., 1996</xref>; <xref ref-type="bibr" rid="B10">Caristi et al., 2005</xref>; <xref ref-type="bibr" rid="B5">Aso et al., 2012</xref>; <xref ref-type="bibr" rid="B32">Venza et al., 2012</xref>). While our study mainly focused on identifying inhibitory effects, we observed that JAK inhibitor tofacitinib increased both PGE<sub>2</sub> production and IL-8 secretion. Tofacitinib is used to treat rheumatoid arthritis and it is known that tofacitinib can increase the expression of pro-inflammatory mediators, including PGE<sub>2</sub>, in macrophages by acting inhibitory on the expression of anti-inflammatory IL-10 (<xref ref-type="bibr" rid="B17">Kothari et al., 2014</xref>). The increased formation of pro-inflammatory PGE<sub>2</sub> and platelet activating thromboxane A<sub>2</sub> (as measured by stable metabolite TXB<sub>2</sub>) in human whole blood may be associated with the recently recognized increased risk of thromboembolism associated with JAK inhibitors in treatment of rheumatoid arthritis (<xref ref-type="bibr" rid="B30">Scott et al., 2018</xref>). Moreover, we did not observe any&#xa0;changes in LPC profile by LPS alone or the tested compounds.&#xa0;While LPCs can be generated by degradation of phosphatidylcholine, LPCs are continuously incorporated back into the plasma membrane (<xref ref-type="bibr" rid="B19">Law et al., 2019</xref>). This would result in no net change in LPCs while other phospholipid species may change in abundance. We acknowledge that the limitation of our study is the usage of one concentration per tested inhibitor. However, the used concentrations were based on reported IC<sub>50</sub> and/or EC<sub>50</sub> values as well as solid experiences in our laboratories using other validated assay systems (<uri xlink:href="https://ultra-dd.org/index.php/tissue-platforms/cell-assay-datasets">https://ultra-dd.org/index.php/tissue-platforms/cell-assay-datasets</uri>). The concentrations were selected to avoid cellular toxicity but we acknowledge that greater concentrations might be of relevance considering the bioavailability in blood. Indeed, we demonstrated in concentration&#x2013;response experiments that greater inhibitory effect could be achieved by increasing the concentration for the MEK inhibitors. However, this increases the risk of off-target effects and/or introduction of cellular toxicity that needs to be taken into account in experimental design and interpretation of results. In conclusion, we identified inhibitors for MEK or ERK as anti-inflammatory hits in our human whole blood assay. Based on the suppression in PGE<sub>2</sub> production and IL-8 secretion, further investigation of the MEK/ERK signaling pathway may inform future therapeutic strategies to treat inflammatory diseases such as SLE and DM.</p>
</sec>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The datasets generated for this study are available on request to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Karolinska University hospital (Dnr 02-196) and the Regional Ethical Review Board in Stockholm (Dnr 2015/2001-31/2). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>FB, YS, MS, P-JJ, and LB contributed to study conception and design. FB, YS, and M-MS performed experiments. FB analyzed data, performed statistical analysis, and drafted the manuscript. IG and IL facilitated administrative, technical, or material support. All authors critically revised and approved the final version of the manuscript.</p>
</sec>
<sec id="s9">
<title>Conflict of Interest</title>
<p>The SGC receives funds from AbbVie, Bayer Pharma, Boehringer Ingelheim, the Canada Foundation for Innovation, the Eshelman Institute for Innovation, Genome Canada, Janssen, Merck (Darmstadt, Germany), MSD, Novartis Pharma, the Ontario Ministry of Economic Development and Innovation, Pfizer, the S&#xe3;o Paulo Research Foundation, Takeda and the Wellcome Trust (authors: FB, YS, M-MS, MS, P-JJ, and LB). These funders had no direct role in study conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript. P-JJ is member of the board of directors at Gesynta Pharma, a company that develops anti-inflammatory drugs.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>This work was supported by grants from Innovative Medicines Initiative (EU/EFPIA, ULTRA-DD, grant no. 115766), the Swedish Research Council (grant no. 2017-02577), Stockholm County Council (ALF, grant no. 20160378), The Swedish Rheumatism Association (grant no. R-755861), King Gustaf V&#x2019;s 80 Years Foundation (grant no. n/a), and funds from Karolinska Institutet (grant no. n/a). This manuscript has been released as a preprint at <uri xlink:href="https://doi.org/10.1101/2019.12.30.890715">https://doi.org/10.1101/2019.12.30.890715</uri>, (<xref ref-type="bibr" rid="B6">Bergqvist et al., 2019</xref>).</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2020.00613/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2020.00613/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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