Abstract

PIM kinases, a small family of serine/threonine kinases, are important intermediates in the cytokine signaling pathway of inflammatory disease. In this study, we investigated whether the novel PIM kinase inhibitor KMU-470, a derivative of indolin-2-one, inhibits lipopolysaccharide (LPS)-induced inflammatory responses in RAW 264.7 cells. We demonstrated that KMU-470 suppressed the production of nitric oxide and inducible nitric oxide synthases that are induced by LPS in RAW 264.7 cells. Furthermore, KMU-470 inhibited LPS-induced up-regulation of TLR4 and MyD88, as well as the phosphorylation of IκB kinase and NF-κB in RAW 264.7 cells. Additionally, KMU-470 suppressed LPS-induced up-regulation at the transcriptional level of various pro-inflammatory cytokines such as IL-1β, TNF-α, and IL-6. Notably, KMU-470 inhibited LPS-induced up-regulation of a major component of the inflammasome complex, NLRP3, in RAW 264.7 cells. Importantly, PIM-1 siRNA transfection attenuated up-regulation of NLRP3 and pro-IL-1β in LPS-treated RAW 264.7 cells. Taken together, these findings indicate that PIM-1 plays a key role in inflammatory signaling and that KMU-470 is a potential anti-inflammatory agent.

Highlights

  • PIM kinases are a family of serine/threonine kinases that were named after they was identified as proviral integration sites of the Moloney murine leukemia virus [1]

  • When macrophages are stimulated with lipopolysaccharides (LPS), large molecules that are a major component of the outer membrane of gram-negative bacteria, by binding to a potent immune receptor, Toll like receptor 4 (TLR4), it induces activation of nuclear factor kappa-B (NF-κB) [8] and inflammatory responses, including production and release of pro-inflammatory cytokines [9]

  • Members of the PIM kinase family are known as oncogenes, and many studies have been conducted on the 2r.o7l.eKoMf UPI‐M470inDteucrmeaosreidgeLnPeSs‐iIsnd[1u2c]e.d RPreoc‐eInnftllaym, smtuatdoireysCoyntotkhineefsuinncRtiAonWo2f6t4h.7e CPeIlMls kinase family in the inflWame imnvaetostriygarteesdpothneseefhfaecvteobfeKenMaUtt‐r4a7c0tionngLaPttSe-nmtieodni.atPeIdMr-e1g,uolnateioonf tohfeinthflraeme matory cytokines PIM kinases, is sigKnMifiUca‐n47tl0y isnidgnuicfeicdanbtylycigdaercerteteassemdokLePiSn-inRdAuWce2d64u.7p-creelglsu[l7a]t,ioanndotfhepirnoh-iinbfitlaiomnmatory cytokine of PIM-1 in a dextrinacnlusoddiniugmILs-u1βlf,aTteNcFo-lαit,isamndicIeLm-6oidneRl iAmWpr2o6v4e.d7 ccoelllistis(Fbiygurreedu6Acin–Cg)t.hMe eoxrecoesvseirv,eKMU-470 reduced activity of macropLhPaSg-eisndanudcetdheuipm-rmeguunleatrieosnpoonfseILo‐1f βThp1roatnedinTh(F1i7gu[5r]e

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Summary

Introduction

PIM kinases are a family of serine/threonine kinases that were named after they was identified as proviral integration sites of the Moloney murine leukemia virus [1]. Recent studies demonstrated that PIM-1 plays an important role in inflammatory responses [5,6,7]. These results suggest that PIM-1 has promising potential as an anti-inflammatory target. Recruitment of the myeloid differentiation factor (MyD88) to the plasma membrane is crucial for the intracellular inflammatory signal cascade by TLR4 [10]. This cascade results in the downstream activation of NF-κB and mitogen-activated protein kinase (MAPK), which further activaiantcettrisvacatethiloleunlaeorxftinrNaflFca-emκlBlmulaaantordrysmigsiitngoanglae-lnre-cagacsutcilavadateteeddbypkTrinoLtaResi4ne [k1(0Ein]R.asKTeh),i(sMccA-aJsuPcKnad),eNwrHhesi(cu2hl)t-stfeuirnrmththeinreaadlcotkiwvianntsaetssreetahm(eJNK), and MexAtrPaKcelplu3l8arpasitghnwala-yresg[u1l1a]te. We alnsoaminevdeKsMtigUa-t4e7d0,tahnedpeoxtpelnotrieadl iotfs PanIMti-i-n1flaasmamnaatnortyi-ipnrflopamertmieastionrLyPtSa-rtgreeatteudsiRnAgWPI2M64-1.7scieRllNs.AW.e investigated the potential of PIM-1 as an anti-inflammatory target using PIM-1 siRNA

Results
Reagents and Antibodies
Biochemical IC50 Value Determination
Kinase Profiling
Cell Culture
Cell Viability Assay
Measurement of NO Production
RNA Extraction and Real Time Quantitative PCR Analysis
Western Blot Analysis
4.10. Small Interfering RNA Transfection
4.11. Statistical Analysis

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