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Plasma Biomarkers Discriminate Clinical Forms of Multiple Sclerosis Marta Tejera-Alhambra, Armanda Casrouge, Clara de Andrés, Ansgar Seyfferth, Rocío Ramos-Medina, Bárbara Alonso, Janet Vega, Lidia Fernández-Paredes, Matthew L. Albert, Silvia Sánchez-Ramón To cite this version: Marta Tejera-Alhambra, Armanda Casrouge, Clara de Andrés, Ansgar Seyfferth, Rocío Ramos- Medina, et al.. Plasma Biomarkers Discriminate Clinical Forms of Multiple Sclerosis. PLoS ONE, 2015, 10 (6), pp.e0128952. ￿10.1371/journal.pone.0128952￿. ￿pasteur-01380997￿ HAL Id: pasteur-01380997 https://hal-pasteur.archives-ouvertes.fr/pasteur-01380997 Submitted on 13 Oct 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License RESEARCHARTICLE Plasma Biomarkers Discriminate Clinical Forms of Multiple Sclerosis MartaTejera-Alhambra1,ArmandaCasrouge2,3,ClaradeAndrés4,AnsgarSeyfferth5, RocíoRamos-Medina1¤a,BárbaraAlonso1,JanetVega6,LidiaFernández-Paredes7, MatthewL.Albert2,3,SilviaSánchez-Ramón1¤b* 1 DepartmentofImmunology,HospitalGeneralUniversitarioGregorioMarañón,Madrid,Spain, 2 DepartmentofImmunology,CenterforHumanImmunology,InstitutPasteur,Paris,France,3 Department ofImmunology,INSERMU818,InstitutPasteur,Paris,France,4 DepartmentofNeurology,HospitalGeneral UniversitarioGregorioMarañón,Madrid,Spain,5 STAT-UPStatisticalConsulting&Services,Madrid,Spain, 6 CenterAliciaKoplowitzforMultipleSclerosisoftheCommunityofMadrid,Madrid,Spain,7 Departmentof ClinicalImmunology,HospitalClínicoSanCarlos,Madrid,Spain ¤a Currentaddress:DepartmentofClinicalOncology,LaboratoryofTranslationalOncology,Hospital GeneralUniversitarioGregorioMarañón,Madrid,Spain ¤b Currentaddress:DepartmentofClinicalImmunology,HospitalClínicoSanCarlos,Madrid,Spain * [email protected] Abstract OPENACCESS Citation:Tejera-AlhambraM,CasrougeA,deAndrés C,SeyfferthA,Ramos-MedinaR,AlonsoB,etal. Multiplesclerosis,themostcommoncauseofneurologicaldisabilityinyoungpopulation (2015)PlasmaBiomarkersDiscriminateClinical aftertrauma,representsasignificantpublichealthburden.Currentchallengesassociated FormsofMultipleSclerosis.PLoSONE10(6): withmanagementofmultiplesclerosis(MS)patientsstemfromthelackofbiomarkersthat e0128952.doi:10.1371/journal.pone.0128952 mightenablestratificationofthedifferentclinicalformsofMSandthusprompttreatmentfor AcademicEditor:OscarArias-Carrion,Hospital thosepatientswithprogressiveMS,forwhomthereiscurrentlynotherapyavailable.Inthe GeneralDr.ManuelGeaGonzález,MEXICO presentworkweanalyzedasetofthirtydifferentplasmacytokines,chemokinesandgrowth Received:October21,2014 factorspresentincirculationof129MSpatientswithdifferentclinicalforms(relapsingremit- Accepted:April30,2015 ting,secondaryprogressiveandprimaryprogressiveMS)and53healthycontrols,across Published:June3,2015 twoindependentcohorts.ThesetofplasmaanalyteswasquantifiedwithLuminexxMAP technologyandtheirpredictivepowerregardingclinicaloutcomewasevaluatedbothindivid- Copyright:©2015Tejera-Alhambraetal.Thisisan openaccessarticledistributedunderthetermsofthe uallyusingROCcurvesandincombinationusinglogisticregressionanalysis.Ourresults CreativeCommonsAttributionLicense,whichpermits fromtwoindependentcohortsofMSpatientsdemonstratethatthedivergentclinicalandhis- unrestricteduse,distribution,andreproductioninany tology-basedMSformsareassociatedwithdistinctprofilesofcirculatingplasmaproteinbio- medium,providedtheoriginalauthorandsourceare markers,withdistinctsignaturesbeingcomposedofchemokinesandgrowth/angiogenic credited. factors.Withthiswork,weproposethatanevaluationofasetof4circulatingbiomarkers DataAvailabilityStatement:Allrelevantdataare (HGF,Eotaxin/CCL11,EGFandMIP-1β/CCL4)inMSpatientsmightserveasaneffective withinthepaper. toolinthediagnosisandmorepersonalizedtherapeutictargetingofMSpatients. Funding:ThisstudywasfundedbyFundación Mapfre(http://www.fundacionmapfre.org),Fundación Salud2000(http://www.fundacionsalud2000.com), FondodeInvestigaciónSanitaria(FIS#12/2759),and theEuropeanResearchCouncilStartingAward (http://erc.europa.eu).MartaTejera-Alhambra receivedanEFISgrantin2011forherstayatInstitut Introduction PasteurinParis.AnsgarSeyfferthisanindependent Multiplesclerosis(MS),themostcommoncauseofneurologicaldisabilityinyoungpopulation statisticalconsultantforSTAT-UPStatistical Consulting&Services.Thefundershadnorolein aftertrauma,representsasignificantpersonal,socialandeconomicpublichealthburden.MS PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 1/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS studydesign,datacollectionandanalysis,decisionto isachronicautoimmuneinflammatorydisorderofthecentralnervoussystem(CNS)charac- publish,orpreparationofthemanuscript. terizedbymultipledemyelinationlesions,axonaldegenerationandoligodendrocyteandneu- CompetingInterests:AuthorAnsgarSeyfferthisa ronalloss.ThepreciseetiologyofMSremainsunknown,althoughitiswidelyheldthatMSisa freelancestatisticalconsultantforSTAT-UPStatistical Th1/Th17autoimmunedisease,whereself-reactiveeffectorTcellsinitiatetheinflammatory Consulting&Services,anindependentbiostatistics cascade.TheclinicalcourseofMSgoesfromanearlyinflammatoryphaseofthediseasewith company.Thisdoesnotaltertheauthors'adherence relapsesandremissions,wherepatientsmayrespondtoimmunomodulatorydrugs,toapro- toPLOSONEpoliciesonsharingdataandmaterials. gressiveandneurodegenerativephasethatisunresponsivetoanycurrentlyavailabletreatment. Between60–70%ofpatientswitharelapsing-remittingMS(RR-MS)formevolvetoasecond- ary-progressiveformofMS(SP-MS).About20%ofpatientssufferfromaprogressiveonsetof thediseasewithoutremissionsofinfaustprognosis,knownasprimaryprogressiveMS (PP-MS)[1].Ineithercase,itremainsplausiblethatthevariousclinicalMSformsmayrepre- sentdivergentetiologies,giventhedistinctpathologicalpatternsandtheclinicalcharacteristics theyexhibit.AlthoughCNSmagneticresonanceimaging(MRI)andthepresenceofoligoclo- nalbandsinthecerebrospinalfluid(CSF)havehelpedinthediagnosisofMS,theydonotdis- criminatebetweentheinflammatoryandprogressiveformsatMS. ManycytokinesandtheirreceptorshavebeenpredominantlydetectedinMSlesionsand theyarethoughttoplayaroleinMSpathogenesisviaimmunesystemactivationaswellasvia damagingneuronalcells.Proinflammatorycytokineshavebeenextensivelystudied.CSFlevels ofproinflammatorycytokinesareoftenelevatedinMSpatients[2–8]. ThecurrentchallengesinthemanagementofMSpatientsarelinkedtothelackofbiomark- erscapableofstratifyingthedifferentclinicalformsofMS.Thisisahighpriorityduetothe needtodefinethosepatientsthatmayevolvetoprogressiveforms.Indeed,thedevelopmentof minimallyinvasivebiomarkersrepresentsanimportantavenuefordiscriminatingamongthe differentformsofthediseaseandforpredictingtreatmentresponse.Theycanalsohelptoshed lightonMSpathogenesis. InourcohortofMSpatients,weevaluatedplasmaprofilesofcytokines,chemokinesand growthfactorsbothindividuallyusingROCcurvesandincombinationusinglogisticregres- sionanalysisfortheirpredictivepowerregardingtheclinicaloutcome.Wehavefoundasetof potentialbiomarkersdifferentlyexpressedintherelapsing-remittingMSpatientscomparedto MSpatientsintheprogressivephaseofthediseasethatmightserveasaneffectivetoolforstrat- ifyingMSpatientsandbettertargetpersonalizedtherapiesforthiscomplexdisease. MaterialsandMethods Subjects Atotalof182subjectswerestudiedinthiswork.Amongthem,129patientswithdefiniteMS diagnosisaccordingtoMcDonald’scriteria[9]wereconsecutivelyrecruitedfromNovember 2010toJune2012,attheUnitofMultipleSclerosisoftheUniversityGeneralHospitalGregorio MarañónandfromCenterAliciaKoplowitzforMultipleSclerosisoftheCommunityofMa- drid,Spain.Agroupof53age-matchedhealthycontrols(HC)(29women/24men;age:37 years(31–43)medianvalue(IQR1-3))fromtheBloodDonorBankoftheUniversityHospital GregorioMarañónwasalsoincluded.Patientswereconsideredandanalyzedastwoindepen- dentcohorts:thetestcohort(cohort1)wasrecruitedfromNovember2010toFebruary2011 andconsistedof65MSpatients(47womenand18men)and16HC(9womenand7men); thevalidationcohort(cohort2)wasrecruitedfromJune2011toJune2012andconsistedof64 MSpatients(38womenand26men)and37HC(20womenand17men). MSpatientswerecharacterizedintotwomaingroups,as“inflammatoryMSorRR-MS”and “progressiveMS”.The“inflammatoryMS/RR-MS”groupconsistedofpatientsdiagnosedas Relapsing-Remittingformthatwereintheinflammatoryphaseofthediseaseandwas PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 2/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS Table1. Epidemiologicalandclinicalcharacteristicsofmultiplesclerosispatientsincludedinthestudy. InflammatoryMS/RR-MS ProgressiveMS Characteristics CD-MS RR-MS RR-MS RELAPSES RESPONDERS NON SP-MS PP-MS Remission Active RESPONDERS No.ofpatientsa 129 23 13 11 20 13 31 18 GenderF/Ma 85/44 17/6 8/5 8/3 10/10 11/2 22/9 9/9 Age(years)b 42(33–53) 38(32–46) 29(26–37) 30(26–42) 37(33–41) 38(29–43) 53(46– 58(45–64) 58) Diseaseduration 11(3– 9(5–16) 1(1–4.5) 1(0–9) 9(1.8–16.3) 11(5–15.5) 19(13– 20.5(8.8– (yrs)b 17.5) 27) 26.3) Ageatonset(yrs)b 28(24–36) 28(22–32) 26(25–35) 28(25–40) 26(23–35) 26(24–38) 32(26– 40(33–50) 41) EDSSb 2.5(1.0– 0.0(0.0–1.5) 2.5(1.0– 3.0(2.0– 1.0(0.0–2.0) 3.5(2.3–4.5) 8.0(7.5– 8.0(7.3– 5.5) 3.0) 4.0) 8.5) 8.0) ProgressionIndexc 0.3(0.1– 0.0(0.0–0.1) 1.5(0.2– 0.8(0.2– 0.1(0.0–0.3) 0.3(0.2–0.5) 0.4(0.3– 0.4(0.3– 0.6) 2.9) 5.4) 0.6) 0.9) No.ofrelapsesd 0 73 17 0 6 2 0 30 18 1 18 4 3 3 4 3 1 0 2–5 38 2 10 2 14 10 0 0 Treatment,IFNβa 20 _ _ _ 20 _ _ _ Treatmentduration 18(6–24) _ _ _ 18(6–24) _ _ _ (mo)b CD-MSclinicallydefiniteMSgroup,RR-MSRemission:relapsingremittingMSinremission,RR-MSActive:relapsingremittingMSwithactivedisease, RESPONDERS:RR-MSundertreatmentwithIFNβ,NON-RESPONDERS:relapsingremittingMSthatdidnotrespondtoInterferon-β,SP-MS:secondary progressiveMS,PP-MS:primaryprogressiveMS. EDSSexpandeddisabilitystatusscale,IFNβ:interferon-β. aNumberofpatients; bMedian(25th-75thpercentiles) cEDSS/Diseaseduration(years); dNumberofrelapsesduringpreceding2years. doi:10.1371/journal.pone.0128952.t001 composedofthefollowingsubgroups:Recurrent-RemittingMSpatientsinremission(RR-MS Remission),RR-MSpatientswithactivedisease(RR-MSActive),patientsatclinicalexacerba- tionorrelapse(RELAPSES),RR-MSpatientsundertreatmentwithIFN-βforaminimumof6 monthswhohadagoodclinicalresponsetoIFN-βandweredefinedaslong-termIFN-βre- sponders(RESPONDERS),RR-MSpatientsthathadnotrespondedtoIFN-β(NON-RE- SPONDERS)andweregoingtostartotherdisease-modifyingtherapy(DMT).The “progressiveMS”groupincludedpatientsdiagnosedasSecondary-ProgressiveMS(SP-MS)or Primary-ProgressiveMS(PP-MS).Exceptforthelong-termIFN-βRESPONDERSgroup,the restofthepatientshadnotreceivedanyglucocorticoidtreatment,immunosuppressiveor DMTbeforebloodsamplinginthethreemonthspriortostudyentry.Thedifferentgroupsare depictedinTable1.InthegroupofRR-MSRemission,therewere17benignformsofMSthat hadbeensymptom-freeforyears.ApatientwithRR-MSwithactivedisease(RR-MSActive) wasdefinedasapatientwithclinicalandparaclinicalactivityofthedisease,thatwasstudiedat least1monthaftertheendofaclinicalexacerbationandwaseligibletostartaDMT.Relapse wasdefinedastheappearanceorreappearanceofoneormoreneurologicalabnormalitiesthat persistedforatleast24handwhichhadbeenprecededbyatleast30daysofstableorimproved neurologicalstate,withoutanyunderlyinginfectiousdisease;bloodsamplesweredrawnfrom PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 3/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS relapsepatientsbeforeinitiationofglucocorticoidtreatment.Clinicaldiseaseseverityanddis- abilitywasratedaccordingtotheKurtzkeExpandedDisabilityStatusScale(EDSS)[10].For detailedpatientcharacteristics,seeTable1.ThisstudywasapprovedbyUniversityHospital GregorioMarañónEthicsCommitteeinMadridandallsubjectsenrolledinthestudygave writteninformedconsent. Multiplexedbiomarkersdetection PeripheralbloodsamplesweretakenbyvenouspunctureandcollectedinsterileEDTAVacu- tainers,between8:00and10:00a.m.,theywereprocessedimmediatelyorwithin2hoursafter extraction.Plasmasampleswereobtainedafterhighspeedcentrifugationfor10minutesat 3,500–4,000rpmandimmediatelyaliquotedandfrozenat-80°Cforitsconservation. Plasmasampleswereclarifiedbyhigh-speedcentrifugationandanalyzedusingLuminex xMAPtechnologyplatform.Thecurrentinvestigationrequiredtheassemblyofanextensive multiplexarrayconsistingofcytokines,chemokines,solublereceptors,growthandangiogenic factors,whichwereevaluatedusingbead-basedimmunoassays.Theselectedarraywasthe Humancytokine30-Plexpanel(Invitrogen)withthefollowinganalytes:IL-1β,IL-1RA,IL-2, IL-2R,IL-4,IL-5,IL-6,IL-7,IL-8,IL-10,IL-12,IL-13,IL-15,IL-17,TNF-α,IFN-α,IFN-γ, GM-CSF,MIP-1α,MIP-1β/CCL4,IP-10,MIG,Eotaxin/CCL11,Rantes/CCL5,MCP-1/CCL2, VEGF,G-CSF,EGF,FGF-basic,andHGF. Statisticalanalysis Descriptivedataarepresentedasmean±standarddeviation(SD)andmedian(interquartile range).Wecomparedcategoricalbythechi-squareχ2test.Whenmultiplegroupswithcontin- uousoutcomeswerecompared,thenonparametricKruskal-Wallisranksumtestwasused,fol- lowedbypairwiseMann-Whitneytestsiftheformerindicatedsignificantdifferences. CorrelationswereassessedusingSpearmancorrelation(r)coefficients.Receiveroperating s characteristic(ROC)curveswereusedtoselecttheoptimalcut-offvaluesofsignificantvari- ablesforconsideringnegativeorpositivepredictorsofthedevelopmentofanygivenclinical conditionstudied.Logisticregressionandtheareaunderthereceiveroperatingcurves (AUROC)wereusedtodeterminethediagnosticaccuracyofamodelthatincludedbiomarkers abletodiscriminatebetweenpatientsandhealthycontrols.DatawereanalyzedwithSPSS(Chi- cago,Illinois)andGraphPadPrismsoftware(CA,USA).Ap-valuelessthan0.05wasconsid- eredasstatisticallysignificant.TheBonferronicorrectionwasappliedtocompensatethe multiplicityofthetests. Results DemographicandclinicalcharacteristicsofMSpatients InourMSstudypopulation,80outof129(62%)MSpatientswereclassifiedintheinflamma- toryphaseofthediseaseandwerediagnosedasrelapsing-remittingMS:RR-MSRemission n=26,RR-MSActiven=13,RESPONDERSn=20,NONRESPONDERSn=13andRE- LAPSESn=11(for6outof11itwastheirfirstclinicalepisode(CIS),andtheywerelaterdiag- nosedasRR-MS).Therewere49patientsintheprogressivephaseofthedisease,31were diagnosedasSP-MSand18asPP-MS. RR-MSpatientsandpatientsatrelapsehadsimilarages,whileprogressivepatientsSP-MS andPP-MSwerearound20yearsolder(Table1).Thelowestdiseaseduration(median1year) wasinthegroupsofRR-MSwithactivediseaseandpatientsatrelapse.InRR-MSatremission andrespondersandnon-responderstoIFNβ,meandiseasedurationwasaboutadecadeandin PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 4/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS theprogressiveforms(SP-MSandPP-MS)twodecades.SP-MSandPP-MShadthehighest EDSScomparedtotheothergroups.EDSSinRR-MSRemissionandinIFNβRESPONDERS werethelowest(median,0and1,respectively),asexpected.Theprogressionindex(EDSS/Dis- easeduration(years)wasthehighestinRR-MSActivepatients,astheyhadbeenrecentlydiag- nosedandpresentedwithconsiderabledisability.AsdepictedinTable1,thepatientswith highestnumberofrelapsesintheprecedingtwoyearswherethoseundertreatmentwithIFNβ (RESPONDERS)orabouttostarttherapywithaDMT(RR-MSActiveandNON RESPONDERS). PanelofPlasmaBiomarkersthatDiscriminatebetweenRelapsing- RemittingandProgressiveClinicalFormsofMultipleSclerosis Weproceededfromthehypothesisthatbiomarkerspresentinthecirculationofpatientsdiag- nosedwithdifferentclinicalformsofMScanprovideclinicallyrelevantinformationpertaining totheprogressionofthediseaseandalsoabasisforthediscriminationbetweenthethreecon- ditions(RR-MS,SP-MSandPP-MS).Theevaluationofthishypothesiswasconductedaccord- ingtothefollowingobjectives:firstly,biomarkerslevelspresentintheplasmaofseveral distinctclinicalformsofMSwereexaminedinordertoidentifyalterationsassociatedwithspe- cificdiseaseforms.Secondly,wefocusedontheuseofacombinationofbiomarkersusinglo- gisticregressionfortheirpredictivepowerachievingsuperiorsensitivityandspecificity. GiventheintrinsicheterogeneityofMS,thetwocohortswerepooledtoincreasethenumber ofcasesandcontrols.WithalltheMSpatientsgloballyconsidered,the30analytesweretested aspredictorsforthediscriminationbetweenRelapsing-RemittingandProgressiveClinical formsofMSbyROCcurves.Forsixofthem(HGF,Eotaxin/CCL11,MCP-1/CCL2,Rantes/ CCL5,EGFandMIP-1β/CCL4)ap-Value<0.05wasfound,whichinallsixcaseswas also<0.05/30(Table2).HencetheseresultsarestillsignificantevenwhenapplyingtheBon- ferronicorrectiontothesignificancethreshold,themostconservativemethodtocompensate themultiplicityofthetests. HGF,Eotaxin/CCL11,MCP-1/CCL2andRantes/CCL5arepresentin lowerconcentrationsintheplasmaofRelapsing-Remittingthanin ProgressiveMultipleSclerosispatients TheanalytesHGF,Eotaxin/CCL11,MCP-1/CCL2andRantes/CCL5werepresentatsignifi- cantlylowercirculatinglevelsintheRR-MSpatientsthanintheprogressiveclinicalformsof MSpatients(SP-MSandPP-MS). TheanalysisofthetestcohortrevealedthatHGF,Eotaxin/CCL11,MCP-1/CCL2,Rantes/ CCL5werepresentinsignificantlylowerconcentrationsintheinflammatory(RR-MS)phase Table2. BiomarkersthatdiscriminatebetweenRelapsing-RemittingandProgressiveClinicalformsofMSbyROCcurves. RR-MSvsProgressiveMS AUC (95%CI) pvalue Cutoff(pg/ml) HGF 0.702 (0.604–0.799) <0.0002 387 Eotaxin/CCL11 0.755 (0.662–0.849) <0.0001 132 MCP-1/CCL2 0.721 (0.626–0.816) <0.0001 550 Rantes/CCL5 0.792 (0.707–0.876) <0.0001 5536 EGF 0.689 (0.592–0.786) 0.0005 66 MIP-1β/CCL4 0.702 (0.607–0.798) <0.0002 109 Theareasunderthecurve(AUC),95%ConfidenceInterval(95%CI)andpvalueforeachanalytearedepictedinTable2. doi:10.1371/journal.pone.0128952.t002 PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 5/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS Table3. HGF,Eotaxin/CCL11,MCP-1/CCL2,Rantes/CCL5,EGFandMIP-1β/CCL4comparisoninthe testandvalidationcohorts. RR-MS ProgressiveMS Testcohort HGF[pg/mL] 117(67–351)** 406(188–508) Eotaxin/CCL11[pg/mL] 69(44–99)** 119±65 MCP-1/CCL2[pg/mL] 325(265–519)# 447(337–561) Rantes/CCL5[pg/mL] 2,359(1,105–6,066)*** 7,791(5,548–7,791) EGF[pg/mL] 55(8–89)*** 8(8–8) MIP-1β/CCL4[pg/mL] 135(88–183)*** 51(37–93) Validationcohort HGF[pg/mL] 334(239–430)** 536(344–805) Eotaxin/CCL11[pg/mL] 88(60–122)*** 230(121–381) MCP-1/CCL2[pg/mL] 357(205–461)*** 680(391–1,005) Rantes/CCL5[pg/mL] 2,641(1,649–4,841)*** 23,644(4,029–23,644) EGF[pg/mL] 106(63–155)# 64(46–106) MIP-1β/CCL4[pg/mL] 131(95–189)# 94(79–129) Mann—Whitneystatisticaltestwasusedforcalculationofthereportedp-valuebetweenRR-MSvs ProgressiveMS;RR-MS=Relapsing-RemittingMSpatients.NotethattheRelapsing-remittinggroup comprisestheclinicalgroups:RR-MSRemission,RR-MSActive,RESPONDERS,NONRESPONDERS andRELAPSES.TheProgressivegroupcomprisesSecondary(SP-MS)andPrimary-progressivepatients. ResultsaregivenasMedianvalue(IQR1–3).Statisticalsignificanceismarkedas: *p<0.05; **p<0.01; ***p<0.001. #p=0.06(trend). doi:10.1371/journal.pone.0128952.t003 withrespecttotheprogressiveMSclinicalforms(SP-MSandPP-MS),findingsthatwerecon- firmedinthevalidationcohort(Table3).HGF,Eotaxin/CCL11andRantes/CCL5differences betweenthesetwogroupswerestatisticallysignificantinbothcohortsanalyzedindependently (Table3).PlasmaMCP-1/CCL2levelsinRR-MSpatientsshowedatrendtobelowerinthe testcohort(p=0.06),whileinthevalidationcohort,thisdifferencewasstatisticallysignificant (p=0.0002). Thetwocohortswerepooledtoincreasethenumberofcasesandcontrols.Again,inMSpa- tientsgloballyconsidered,wefoundthatplasmalevelsofHGF,Eotaxin/CCL11,MCP-1/CCL2 andRantes/CCL5weresignificantlylowerintheinflammatory(RR-MSpatients)thaninthe progressiveforms(SP-MSandPP-MS).InFig1theresultsfromRR-MSarecomparedtothose oftheprogressiveMSpatients:(HGF:294±221vs484±310,p=0.0002;Eotaxin/CCL11:87±56 vs187±143,p<0.0001;MCP-1/CCL2:375±227vs588±309,p<0.0001;Rantes/CCL5:4,173 ±4,855vs11,371±8,800,p<0.0001).Interestingly,thelevelsofHGF,MCP-1/CCL2and Eotaxin/CCL11intheprogressiveMSpatientsweresimilartothoseobservedinhealthycon- trols(HGF:484±310vs476±652;Eotaxin/CCL11:187±143vs147±138;MCP-1/CCL2:588 ±309vs538±315),whileRantes/CCL5wasmoreelevatedintheprogressiveformswithrespect tohealthycontrols(Rantes/CCL5:11,371±8,800vs5,518±6,796).RR-MSpatientshadsignifi- cantlylowerlevelsofEotaxin/CCL11,MCP-1/CCL2andRantes/CCL5thanhealthycontrols (Eotaxin/CCL11:87±56vs147±138,p=0.001,MCP-1/CCL2:375±227vs538±315,p=0.001 andRantes/CCL5:4,173±4,855vs5,518±6,796,p=0.0002). PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 6/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS Fig1.DifferentplasmalevelsofHGF,Eotaxin/CCL11,MCP-1/CCL2andRantes/CCL5inMSclinicalforms.PlasmalevelsofHGF,Eotaxin/CCL11, MCP-1/CCL2andRantes/CCL5werelowerinrelapsing-remittingMSthanintheprogressiveMSpatients.ComparisonoftheplasmalevelsofHGF,Eotaxin/ CCL11(topdotplots),MCP-1/CCL2andRantes/CCL5(lowerdotplots)inrelapsing-remitting(RR-MS,n=80)andinthegroupofprogressiveMS(n=49) patients.Mann—Whitneystatisticaltestwasusedforcalculationofthereportedp-value;medianvaluesarerepresentedbyagraybar;individualdots indicatesingledonorvalues.NotethattheRelapsing-remittinggroupcomprisestheclinicalgroups:RR-MSRemission,RR-MSActive,RESPONDERS, NONRESPONDERSandRELAPSES.TheProgressivegroupcomprisesSecondary(SP-MS)andPrimary-progressivepatients. doi:10.1371/journal.pone.0128952.g001 TheROCanalysesindicatedagoodperformanceofplasmaHGF,Eotaxin/CCL11,MCP-1/ CCL2andRantes/CCL5forthediscriminationbetweenRR-MSfromprogressiveclinical forms(Table2). HGFcorrelatedstronglywithMCP-1/CCL2bothinMSpatientsandinhealthycontrols(r s =0.4674,p<0.0001),whilstHGFcorrelatedwithEotaxin/CCL11(r =0.5574,p<0.0001)and s Rantes/CCL5(r =0.3317,p=0.0002)onlyinMSpatients. s HGF,MCP-1/CCL2,Eotaxin/CCL11andRantes/CCL5correlatedalsowithneurological disabilitymeasuredbytheEDSS:HGF(r =0.3254,p=0.0003),MCP-1/CCL2(r =0.2714, s s p=0.003),Eotaxin/CCL11(r =0.3610,p<0.0001),Rantes/CCL5(r =0.4386,p<0.0001). s s EGFandMIP-1β/CCL4arediminishedinProgressiveMSclinicalforms Bothinthetestcohortandinthevalidationcohort,EGFandMIP-1β/CCL4plasmalevelswere lowerintheprogressiveMSforms(SP-MSandPP-MS)withrespecttoRR-MSpatients.Inthe testcohort,plasmaEGFandMIP-1β/CCL4statisticallydifferedinbothclassificationgroups PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 7/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS Fig2.DifferentplasmalevelsofEGFandMIP-1β/CCL4inMSclinicalforms.PlasmalevelsofEGFandMIP-1β/CCL4werelowerintheprogressiveMS thaninrelapsing-remittingMSpatients.ComparisonoftheplasmalevelsofEGFandMIP-1β/CCL4betweenpatientswithrelapsing-remitting(RR-MS, n=80)andinprogressiveMSpatients(n=49).Mann—Whitneystatisticaltestwasusedforcalculationofthereportedp-value;medianvaluesare representedbyagraybar;individualdotsindicatesingledonorvalues.NotethattheRelapsing-remittinggroupcomprisestheclinicalgroups:RR-MS Remission,RR-MSActive,RESPONDERS,NONRESPONDERSandRELAPSES.TheProgressivegroupcomprisesSecondary(SP-MS)andPrimary- progressivepatients. doi:10.1371/journal.pone.0128952.g002 (p<0.0001andp=0.0002,respectively);inthevalidationcohort,bothanalytesshowedatrend (p=0.06)tobeatlowerconcentrationsintheplasmaofprogressivepatients(SP-MSand PP-MS)thaninRR-MSpatients(Table3). Thepoolofbothcohortsdisplayedthesamedistributionwithsignificantlydiminishedcir- culatinglevelsofEGFandofthechemokineMIP-1β/CCL4inpatientswithprogressiveforms ofMSthaninRR-MSpatients(EGF:87±71vs50±54,p=0.0005;MIP-1β/CCL4:141±79vs93 ±67,p=0.0002)(Fig2).RR-MSpatientsandhealthycontrolsshowedsimilarcirculatinglevels ofEGFandMIP-1β/CCL4(EGF:87±71vs115±92;MIP-1β/CCL4:141±79vs170±116)and progressivepatientshadsignificantlylowerlevelsofEGFandMIP-1β/CLL4thanHC(EGF:50 ±54vs115±92,p<0.0001andMIP-1β/CCL4:93±67vs170±116,p=0.0002,respectively).The ROCcurvesofplasmaEGFandMIP-1β/CCL4wereusedtoassessthepotentialidentification betweenRR-MSandprogressive(SP-MSorPP-MS)clinicalforms(Table2). Asexpected,EGFandMIP-1β/CCL4correlatednegativelywiththedisabilityscoreEDSS: EGF(r =-0.2906,p<0.002,MIP-1β/CCL4(r =-0.355,p<0.0001). s s Logisticregression Wecarriedoutthemultivariatelogisticregressionanalysisincludingallthesesixanalytes (HGF,MCP-1/CCL2,Eotaxin/CCL11,Rantes/CCL5,EGFandMIP-1β/CCL4)asindependent variablesandtheclinicalMS-forms(Relapsing-RemittingvsProgressive)asthedichotomous targetvariable.Weobtainedamodelthatincludedthe4analytesHGF,EGF,Eotaxin/CCL11 andMIP-1β/CCL4)(Table4)aspredictorsfortheMS-clinicalform,whileRantes/CCL5and MCP-1/CCL2didnotreachstatisticalsignificancetobeincluded. Withthiscombinationmodel,wewereabletogivetheoddsforaspecificpatienttobediag- nosedasprogressiveMS,i.e.theprobability—P—ofbeingclassifiedasprogressiveclinicalform ofMSdividedbytheprobabilityofdevelopingarelapsing-remittingform1-P,accordingtothe modelaregivenbytheproductof0.4021andthefouroddsratioseachraisedbytherespective predictors’values(inpg/mL)measuredinanindividualpatient.Eachanalytehasanoddsratio (O.R.)whichisraisedtothepowerofitsrespectivevalue[pg/mL]inapatient.Forinstance,for apatientwithvalues[pg/mL]ofEotaxin/CCL11:200;HGF:323;EGF:17;MIP-1β/CCL4:54, PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 8/21 PlasmaBiomarkersintheDifferentClinicalFormsofMS Table4. LogisticregressionwithHGF,Eotaxin/CCL11,EGFandMIP-1β/CCL4asindependentvari- ablesandtheclinicalMS-forms(Relapsing-RemittingvsProgressiveMS)asthedichotomoustarget variable. RR-MSvsProgressiveMS Pvalue O.R. C.I.(95%) HGF[pg/mL] 0.0085 1.0038 1.0010–1.0066 Eotaxin/CCL11[pg/mL] 0.0004 1.0147 1.0066–1.0229 EGF[pg/mL] 0.0056 0.9808 0.9675–0.9944 MIP-1β/CCL4[pg/mL] 0.0171 0.9873 0.9769–0.9977 Constant 0.1049 0.4021 O.R.(oddsratio);C.I.(95%)Intervalofconfidence. doi:10.1371/journal.pone.0128952.t004 theoddsare0.4021(cid:1)1.0147200(cid:1)1.0038323(cid:1)0.980817(cid:1)0.987354=9.14.Hence,themodelassigns tothispatientaprobabilityofhavingaprogressiveformof9.14/(1+9.14)=90.1%. HGFandEotaxin/CCL11withO.R.>1(Table4)areriskfactorsfordevelopingaprogres- siveclinicalformofMS,whileEGFandMIP-1β/CCL4withO.R.<1areprotectivefactorsfor developingaprogressiveclinicalformofMS. Consideringodds>/<1,i.e.agreater/lessprobabilityofhavingaprogressiveversus RR-MSclinicalformaccordingtothemodel,asapositive/negativeprognosis,themodelgives asensitivityof71.7%,aspecificityof89.9%,apositivepredictivevalue(PPV)of82.5%,anega- tivepredictivevalueof82.7%andanaccuracyof82.6%forourcohortofMSpatients. Eachoftheanalytesincludedinthecombinationmodelbymultivariatelogisticregression analysiswasindependentlyanalyzedbyunivariateregressionanalysis(ROCAnalysis)forits predictiveabilitytodiscriminatebetweenaProgressiveandaRR-MSpatient.Foreachana- lyte,anspecificcut-offvalue:HGF>387,Eotaxin/CCL11>132,EGF<66andMIP-1β/CCL4 <109pg/mlcoulddiscriminatewithdifferentsensitivity,specificity,positivepredictivevalue (PPV),negativepredictivevalue(NPV)andaccuracybetweenaProgressiveandaRR-MSpa- tient.ThecombinationofthefourplasmalevelsofHGF,Eotaxin/CCL11,EGFandMIP-1β/ CCL4withmultivariatelogisticregressionanalysesgaveahighersensitivityandspecificity (Table5). FGFbcandiscriminatebetweenPrimaryandSecondaryProgressive patientsandbetweenPrimaryProgressivepatientsandRelapsing- Remittingpatientsundergoingclinicalrelapse PlasmaFGFbwasmarkedlydiminishedinPP-MSpatientswhencomparedtoSP-MS(11±10 vs26±27,p=0.01),patientsundergoingaclinicalrelapse(11±10vs21±11,p=0.01),or Table5. ClinicalutilityofHGF,Eotaxin/CCL11,EGFandMIP-1β/CCL4asMSbiomarkersandclinicalutlityoftheircombinationinamodelbymulti- variatelogisticregressionanalysis. RR-MSvsProgressiveMS Sensitivity Specificity PPV NPV Accuracy HGF 59.6% 72.6% 58.3% 73.6% 67.5% Eotaxin/CCL11 53.2% 90.8% 78.1% 75.8% 76.4% EGF 74.5% 59.7% 54.7% 78.2% 65.5% MIP-1β/CCL4 70.2% 68.4% 57.9% 78.8% 69.1% Modelbylogisticregressionanalysis 71.7% 89.9% 82.5% 82.7% 82.6% PPV:positivepredictivevalue,NPV:negativepredictivevalue. doi:10.1371/journal.pone.0128952.t005 PLOSONE|DOI:10.1371/journal.pone.0128952 June3,2015 9/21

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2 Department of Immunology, Center for Human Immunology, Institut ¤b Current address: Department of Clinical Immunology, Hospital Clínico San .. gistic regression for their predictive power achieving superior sensitivity and
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