• No results found

Cystatin-C and TGF-β levels in patients with diabetic nephropathy

N/A
N/A
Protected

Academic year: 2021

Share "Cystatin-C and TGF-β levels in patients with diabetic nephropathy"

Copied!
7
0
0

Loading.... (view fulltext now)

Full text

(1)

w w w . r e v i s t a n e f r o l o g i a . c o m

RevistadelaSociedadEspañoladeNefrología

Original

article

Cystatin-C

and

TGF-

levels

in

patients

with

diabetic

nephropathy

Mumtaz

Takir

a,∗

,

Aslı

Dogruk

Unal

b

,

Osman

Kostek

c

,

Nilufer

Bayraktar

b

,

Nilgun

Guvener

Demirag

b

aDivisionofEndocrinologyandMetabolism,DepartmentofInternalMedicine,GoztepeTrainingandResearchHospital,Istanbul

MedeniyetUniversity,Istanbul,Turkey

bDivisionofEndocrinologyandMetabolism,DepartmentofInternalMedicine,Bas¸kentUniversityHospital, ˙Istanbul,Turkey cDepartmentofInternalMedicine,GoztepeTrainingandResearchHospital,IstanbulMedeniyetUniversity,Istanbul,Turkey

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received10September2015

Accepted25June2016

Availableonline13October2016

Keywords: Diabeticnephropathy CystatinC TGF-␤1 Microalbuminuria Normoalbuminuria

a

b

s

t

r

a

c

t

Objective:Toevaluaterenalimpairmentintype2diabeticpatientswithnormoalbuminuria

ormicroalbuminuriabydetectionofserumcystatinCandserumandurinaryTGF-␤levels.

Methods:Cross-sectionalstudyconductedattheDepartmentofEndocrinologyinBaskent

UniversitySchoolofMedicine.Patientswithtype2diabetesmellituswithoutknownovert

diabetic nephropathywereincludedinthestudy.Recruitedpatientswerestratifiedinto

fourgroups,matchedintermsofage,gender,microalbuminurialevelandestimatedGFR

calculatedwithMDRD.

Results:78patientswereenrolled.Theywerecategorizedintofourgroupsdependingon

theirurinaryalbuminexcretionandestimatedglomerularfiltrationrate.

Macrovascularcomplicationwasfoundtobehigherinpatientswithmicroalbuminuria

thaninotherpatients(p<0.01),buttherewerenodifferencesintermsofotherdiabetic

complications.SerumcystatinClevelwassignificantlyhigherinnormoalbuminuricgroup

onepatients,whileserumandurinaryTGF-␤1levelswerehigherinmicroalbuminuricgroup

twopatients.TheserumlevelofcystatinCwasfoundtonegativelycorrelatewitheGFRin

grouptwopatients(r=−0.892,p<0.001).Finally,therewasanegativecorrelationbetween

eGFRandcystatinCinallthepatientgroups(r=−0.726,p=0.001).

Conclusions: Althoughurinaryalbuminexcretionisrecommendedforthedetectionoftype

twodiabeticnephropathy,thereisagroupofpatientswithdecreasedeGFRbutwithout

increasedurinaryalbuminexcretion,inwhichserumcystatinClevelwasindicatedtobe

usedasanearlybiomarkerofdiabeticnephropathy.

©2016PublishedbyElsevierEspa ˜na,S.L.U.onbehalfofSociedadEspa ˜noladeNefrolog´ıa.

ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.

org/licenses/by-nc-nd/4.0/).

Correspondingauthor.

E-mailaddress:mumtaztakir@yahoo.com(M.Takir).

http://dx.doi.org/10.1016/j.nefro.2016.06.011

0211-6995/©2016PublishedbyElsevierEspa ˜na,S.L.U.onbehalfofSociedadEspa ˜noladeNefrolog´ıa.Thisisanopenaccessarticleunder theCCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).

(2)

Concentración

de

cistatina

C

y

TGF-

en

pacientes

con

nefropatía

diabética

Palabrasclave: Nefropatíadiabética CistatinaC TGF-␤1 Microalbuminuria Normoalbuminuria

r

e

s

u

m

e

n

Objetivo:Evaluarlainsuficienciarenalenpacientescondiabetestipo2con

normoalbumin-uriaomicroalbuminuriamedianteladeteccióndelaconcentracióndecistatinaCensuero

ydeTGF-␤ensueroyorina.

Métodos:EstudiotransversalrealizadoenelDepartamentodeEndocrinologíadelaFacultad

deMedicinadelaUniversidaddeBaskent.Enelestudio,seincluyóapacientescondiabetes

mellitustipo2sinnefropatíadiabéticamanifiestaconocida.Lospacientesseleccionadosse

estratificaronen4grupos,agrupadosentérminosdeedad,sexo,gradodemicroalbuminuria

yfiltraciónglomerularestimada(FGe)calculadamediantelafórmulaMDRD.

Resultados:Seincluyóa78pacientes.Seclasificaronen4gruposdependiendodelaexcreción

urinariadealbúminaydelaFGe.

Seobservóquelacomplicaciónmacrovasculareramayorenlospacientescon

microalbu-minuriaqueenotros(p<0,01),peronohubodiferenciasconrelaciónaotrascomplicaciones

diabéticas. Laconcentración sérica de cistatinaC fuesignificativamentemayor enlos

pacientesdelgrupo1connormoalbuminuria,mientrasquelasconcentracionesdeTGF-␤1

ensueroyorinafueronmayoresenlospacientesdelgrupo2conmicroalbuminuria.Se

observóunacorrelaciónnegativaentrelaconcentraciónséricadecistatinaCylaFGeenlos

pacientesdelgrupo2(r=−0,892,p<0,001).Porúltimo,seobservóunacorrelaciónnegativa

entrelaFGeylacistatinaCentodoslosgruposdepacientes(r=−0,726,p=0,001).

Conclusiones:Aunqueserecomiendalaexcreciónurinariadealbúminaparaladetección

delanefropatíadiabéticatipo2,hayungrupodepacientescondisminucióndelaFGe,

perosinaumentodelaexcreciónurinariadealbúmina,enlosqueestabaindicadousar

laconcentracióndecistatinaCensuerocomounbiomarcadortempranodenefropatía

diabética.

©2016PublicadoporElsevierEspa ˜na,S.L.U.ennombredeSociedadEspa ˜nolade

Nefrolog´ıa.Esteesunart´ıculoOpenAccessbajolalicenciaCCBY-NC-ND(http://

creativecommons.org/licenses/by-nc-nd/4.0/).

Introduction

Diabetic nephropathy(DN) is the leading cause of chronic

kidneydisease.1,2Albuminexcretionrate(AER)and

glomeru-larfiltrationrate(GFR)areusedtostageDN.However,these measurementsarenotsufficientinearlydiagnosisand mon-itoringtheprogressionofDN.Thereforeearlymarkersshould bedevisedfor thesepurposes. Althoughmicroalbuminuria is accepted as a risk factor and marker for DN and pro-gressiverenalinsufficiency,3somepatients,especiallytype2 diabetics, may have normoalbuminuric chronic kidney disease.4

Thisshowsthatbothnormoalbuminuricandalbuminuric pathwaysareatwork.5WhilesomepatientswithMApresent withnormalkidneystructure,someothernormoalbuminuric diabeticshavewell-determinednephropathiclesion.6,7

Cystatin C which is used for measurement of GFR, is producedinall nucleatedcells and filteredfreelyfrom the glomerulus. Itis reabsorbed totally and catabolised in the proximaltubules.CystatinCisasuitablemarkerforGFR mea-surementowingtonotbeingaffectedbyage,weight,gender andproteinintake.8–10

Transforming growth factor-beta (TGF-␤1) is one of the growth factors which are implicated in DN pathogenesis. TGF-␤1causesmesangialextensionbypromotingrenal cel-lular hypertrophy and byinducingthe extracellularmatrix

expansion.11UrinaryTGF-␤1levelsareincreasedas propor-tionaltotheseverityofthenephropathy.12

WeaimedtodeterminethevalueofserumCystatinCand TGF-␤1inearlydetectionofdiabeticnephropathyin normoal-buminuricpatientswithtype-2diabetesmellitus.

Material

and

methods

Patients

Thiswasacross-sectionalstudywhichwasconductedatthe

Department ofEndocrinology inBaskent University School

ofMedicine,Istanbul,Turkey,during2009–2011,whoagreed

toparticipateinthestudy.BaskentUniversityEthical

Com-mitteeapprovedthestudyprotocol(Approvalno:KA09/308).

Patientswithtype2diabetesmellituswithoutknownovert

diabetic nephropathywere includedinthestudy.Recruited

patientswerestratifiedintofourgroups,matchedintermsof

age,gender,microalbuminurialevelandestimatedGFR

cal-culatedwithMDRD.Wetriedtoexcludeapparentcausesof

nondiabetic renaldisease basedondataobtainedwith

uri-nary system ultrasonography, urine microscopy and urine

culture.Patientswhohavehistoryofnondiabeticrenal

dis-ease, uncontrolled hypertension, liverdisease,NYHA stage

(3)

wereexcludedfromthestudy.Allparticipantswereincluded inthestudyaftersigninginformedconsentforms.

Laboratoryevaluation

Following thorough medical history and detailed physical examination,bloodsamplesweretakenfromallparticipants formeasurementoffastingbloodglucose,HbA1c,bloodurea, creatinineandelectrolytes,lipidprofile,serumalbumin,high sensitive C reactive protein (hsCRP). Freshly voided early morning urine samples were also collected for urinalysis. Patientsalsoprovided24-hcollectedurinespecimensfor mea-surementofmicroalbumin.

Serumglucose,creatinine,totalcholesterol,HDLandLDL cholesterol, triglyceride were studied by enzymatic colori-metric;serumalbumin;bromocresolgreen(BCG),ure;(BUN) urease, HbA1c; immune-examination (C4000, Abbott,USA), andhsCRPwasstudiedwithimmunoturbidimetricmethods (C8000,Abbott,USA). Microalbuminlevelin24-hurinewas determined withimmunoturbidimetricmethod (C4000 sys-tem,Abbott,USA).

EstimatedGFRwascalculatedwith6variableMDRD equa-tion using age, race, gender, serum creatinine,blood urea nitrogenandalbuminvalues.13

Theserums ofpatientswere stored in−20◦C until

lab-oratoryanalysis.SerumcystathionineC,serumTGF-␤1and urine TGF-␤1 levels were determined with enzyme linked immunosorbent assay (ELISA) method. BioVendor (Czech Republic)ELISA kit and eBioscience (North America) ELISA wereusedforCystatinCandTGF-␤1measurements, respec-tively.

Statisticalanalysis

For statisticalevaluation, NCSS(Number Cruncher Statisti-calSystem)2007andPASS(PowerAnalysisandSampleSize) 2008Statistical Software(Utah, USA) programs were used. Oneway Anova testwas used in intergroupcomparison of theparametersshowingnormaldistributionandTukeyHDS testwasusedinthedeterminationofthegroupcausingthe difference.Kruskal–Wallistestwasusedinintergroup com-parisonoftheparametersnotshowingnormaldistribution andMann–WhitneyUtestwasusedinthegroupcausingthe difference.Incomparisonofthequalitativedata,Chi-square testwasused.Thesignificancewasacceptedasp<0.05.

Results

Atotalof78patientswithtype2DMwereincludedinthe

study(meanage57±8.Fourgroupsweredescribed;patients

with GFR value<60ml/min/1.73m2 and MA <30mg/day as

group1;patientswithGFRvalue<60ml/min/1.73m2andMA

between30mgand300mg/dayasgroup2;patientswithGFR

value>120ml/min/1.73m2andMA<30mg/dayasgroup3,and

patientswithGFRvaluebetween90and120ml/min/1.73m2

andMA<30mg/dayasgroup4.Therewere 10menand10

womeningroup1and4whereas10menand11womenin

group2and15menand2womeningroup3.Thelaboratory

parametersofthe groupsare showninTable 1. Significant

eGFR (mL/min/1.73 m2) 120 80 40 120 80 40 120 80 40 Cystatin C (mg/dL) 3000 2500 2000 1500 1000 500 0 120 80 40 Group 4 Group 3 Group 2 Group 1 r=–0.236 r=–0.047 r=–0.892 r=–0.211 P=.372 P<.001 P=.857 P=.317

Fig.1– CorrelationofserumcystatinCwitheGFRinallfour studygroups.

differencewaspresentamonggroupswithregardstomean

age,fastingbloodglucose,HbA1candserumcreatininelevel.

Nosignificantdifferencewasfoundamonggroupsinterms

ofthepresenceofHTwhichhasamajorroleinDN

patho-genesis.Theevaluationofthegroupsintermsofmicroand

macrovascularcomplicationsofdiabetesisdepictedinTable2.

Highestrateofcoronaryarterydisease(CAD)wasseenGroups 1and 2.Nosignificancedifferencewas evidentamongthe groupsregardingprevalenceofretinopathy,diabeticfootand neuropathy(p>0.05).

ResultsofGFR, cystatinC,serum andurineTGF-␤1,MA measurements are shownin Table3. Significant difference waspresentamongthegroupsintermsofcystatinC,serum andurineTGF-␤1(p<0.05).PostHocTukeyHSDtestwhichwas performedtodeterminetheintragroupsignificance,showed thatcystatinClevelofgroups1and2wassignificantlyhigher comparedwiththoseofgroups3and4(forGroup1;p=0.001,

p=0.001; forGroup2;p=0.002, p=0.01).For the serum and urineTGF-␤1,wefoundthatthelevelsingroup2were signif-icantlyhigherthangroup4(p=0.012;p=0.012).Nosignificant associationwasdeterminedbetweenTGF-␤1andanyofthe studiedvariables.

Cystatin Cshowed asignificant andpositive correlation withage,durationofdiabetes,andserumuricacidingroup 2(forage:r=0.477,p=0.029;fordurationofdiabetes:r=0.437,

p=0.048;forserumuricacid:r=0.465,p=0.039).Asexpected, serum cystatinClevel wasnegativelyassociatedwith esti-matedGFRlevel(r=−0.892,p=0.001)onlyingroup2(Fig.1). Ingroup3,onlyanegativesignificantcorrelationwaspresent betweenLDLandcystatinC(r=−0.72,p=0.002).Ingroup4, cystatin C had a positive correlation withduration of dia-betes(r=0.453,p=0.045)andanegativecorrelationwithMA (r=−0.520,p=0.019)(Fig.2).

When all thepatients whichare taken tothe studyare evaluated,statisticallysignificantrelationinnegative direc-tion and in % 72.6 level is detected (r=−0.726, p=0.001). SignificantnegativecorrelationisdetectedbetweenGFRand creatinine(r=−0.806,p=0.001).Positivesignificantcorrelation

(4)

Table1–Laboratoryparametersofthestudygroups.

Group1(n=20) Group2(n=21) Group3(n=17) Group4(n=20) p

Age,years 62.9(5.8) 59.7(6.9) 49.0(8.0) 53.7(8.3) 0.001

DurationofDiabetesMellitus,months 116.4(100.1) 127.4(96.7) 96.0(71.8) 78.0(45.1) 0.243

BMI,kg/m2 29.6(4.2) 32.0(5.3) 32.2(6.6) 31.6(5.4) 0.430 Glucose,mg/dL 118.8(26.6) 152.1(62.7) 143.9(42.6) 121.1(32.7) 0.043 HbA1c,% 6.1(0.7) 6.9(1.2) 7.3(1.1) 6.7(1.3) 0.028 Creatinine,mg/dL 1.2(0.2) 0.9(0.3) 0.6(0.1) 0.6(0.1) 0.001 Albumin,g/dL 4.2(0.3) 4.2(0.2) 4.3(0.3) 4.3(0.3) 0.559 HDL-Cholesterol,mg/dL 41.2(10.1) 38.4(7.8) 39.8(10.9) 40.5(5.7) 0.774 LDL-Cholesterol,mg/dL 102.6(35.5) 115.3(34.3) 129.6(30.3) 105.9(29.6) 0.079 Triglyceride,mg/dL 148.3(91.1) 174.8(79.9) 175.9(50.9) 184.6(68.1) 0.074

Sedimentationrate,mm/hour 22.3(14.8) 15.1(10.8) 13.4(5.2) 14.2(8.0) 0.412

hsCRP,mg/dL 5.1(4.5) 6.0(7.7) 5.5(5.5) 5.6(5.2) 0.969

Bodymassindex(BMI),hemoglobinA1c(HbA1c),highdensitylipoprotein(HDL),lowdensitylipoprotein(LDL),highsensitivecreactiveprotein (hsCRP).

Mean(standarddeviation).

Table2–Evaluationofmicroandmacrovascularcomplicationsaccordingtogroups.

Group1(n=20) Group2(n=21) Group3(n=17) Group4(n=20) p

CoronaryArteryDisease 9(45%) 10(47.6%) 1(5.9%) 2(10%) 0.003

Retinopathy 5(25%) 7(33.3%) 2(11.8%) 4(20%) 0.454

DiabeticFoot 0(%0) 1(4.8%) 0(%0) 0(%0) 0.432

Neuropathy 9(45%) 9(42.9%) 2(11.8%) 5(25%) 0.096

isdetectedbetweenage,hypertensionandCADandcystatin

Clevels(forager=0.534,p=0.001;forhypertensionr=0.347,

p=0.002;forCADr=0.382,p=0.001,respectively).

When60ml/min/1.73m2isselectedforGFRasthecut-off

value,itisobservedthatthecystatinClevelsaresignificantly

differentbetween the patientswho have eGFRvaluesover

andbelowthiscut-offpoint(GFR<60ml/min:1548.6±613.8;

GFR≥60ml/minmean:816.8±310.8;p=0.001).ROCanalysis

forcystatinC,inthecaseswherecystatinCisC≥1064mg/L,

catch-upsensitivityofGFRin<60ml/mwascalculatedas80%,

specificityas86.21%;positiveconjecturevalueas66.67%and

negativeconjecturevalueiscalculatedas92.59%(Fig.3).The

areaunderthecurveinROCanalysiswasfoundas85.4%and standarderrorwascalculatedas6%.

Discussion

Thealbumin excretionrate (AER)which isused instaging

ofDNand GFR,isnot sufficientforexplainingthe disease

progress.Whilealbuminexcretionthroughurineisnormal,

GFRcandecreasewithoutanyincreaseinAER.Byconsidering

thatDNmayhavenormoalbuminuricstage,11thissituationis

reportedintype1diabeticpatientswhoshowtypical specifi-cationsinfavorofDNinrenalbiopsy.11Inourstudy,when detecting the early stage diabetic nephropathy, cystatin C levelsaredetectedashigherinthegroupswhichhave nor-moalbuminuriceGFR<60ml/m/1.73m2 andasindependent

fromeGFRserumandurineTGF-␤1levelisdetectedashigher inmicroalbuminuriagroup.

In AER and GFR relation age is an important factor. GFR istype2diabetics over 70 yearsold,is approximately 60ml/m/1.73m2.Inourstudy,eGFRwasthelowestandthe

agewastheoldestinnormoalbuminuricgroup(average62±5 years).

Today,GFRisacceptedasthebestindexreflectingkidney function.13GFRcanbedirectlymeasuredwiththeinfusionof theexogenousmarkerssuchasinulinor51Cr-EDTA.However

thesemethodsarenotpracticalandnotusedindailypractice. Therefore, for the sake of practicality, American Diabetes Association (ADA)andNational KidneyFoundation suggest theformulaofCockcroft-Gault(CG)andModificationofDiet inRenalDiseasefour-variable(MDRD)equationstoestimate

Table3–EstimatedGFR,cystatinC,serumandurineTGF-␤1,andMAlevelsinstudygroups.

Group1(n=20) Group2(n=21) Group3(n=17) Group4(n=20) p

eGFR,mL/m/1.73m2 54.7(7.6) 78.2(23.5) 125.7(6.9) 106.1(29.8) 0.001

CystatinC,mg/L 1.4(0.6) 1.1(0.4) 0.6(0.1) 0.7(0.1) 0.001

sTGF-␤1,ng/mL 16.7(6.9) 18.9(3.0) 16.1(6.1) 13.2(6.4) 0.022

uTGF-␤1,pg/mgcre 558.6(23.0) 633.2(100.6) 539.3(204.3) 442.2(214.3) 0.022

MA,mg/24h 18.0(5.9) 89.8(37.7) 22.2(8.9) 16.3(5.1) 0.001

Estimatedglomerularfiltrationrate(eGFR),serumtransforminggrowthfactor-beta1(sTGF-␤1),urinetransforminggrowthfactor-beta1 (uTGF-␤1),microalbuminuria(MA).

(5)

Cystatin C (mg/dL) 3000 2500 2000 1500 1000 500 0 Microalbuminuria (mg/24 hour) 200 150 100 50 0 Group 4 Group 3 Group 2 Group 1 Group 4 Group 3 Group 2 Group 1

Fig.2–CorrelationofserumcystatinCwith microalbuminuriainallfourstudygroups.

GFR.14,15ParticularlyMDRDequationisacceptedassuperior

thanCGowingtonotdependonbodyweightmeasurement.13 Serumcreatinineconcentrationisanimperfectmeasure ofGFR.Inourstudy,thecreatininelevelinthepatientgroups whoseGFRwas<60ml/m/1.73m2,hasnotincreasedyetand

thepatientswerenormoalbuminuric.Sinceserumcreatinine levelisaffected bymusclemassanddiet,itisnotanideal markerforGFR calculation. Novel methodsare needed for earlyandaccuratedetectionofDN.

CystatinCisanendogenicmarkerusedforGFR determina-tionbecauseitsserumlevelisdependenttoalmostwholeof eGFRparticularlyitisseenmorevaluableinnormalandmild decreasedeGFR.8 1-specificity 1.0 0.8 0.6 0.4 0.2 0.0 Sensitivity 1.0 0.8 0.6 0.4 0.2 0.0 ROC Curve AUC=85.4 % SE=6.0 %

Fig.3–ROCcurvewhichisobtainedforcystatinC.

Laterzaetal.5haveattributedcystatinCtobeanimportant

reagent inearlystagekidneydamagetoitsstabile produc-tion,musclemass, notbeing dependenttoageandgender ornotshowingreversetendencytokidneysecretionorblood circulation.

Inourstudy,thedifferenceincystatinClevelsshowedthat eveninnormoalbuminuriastage,thediabeticrenal disease canbeidentified.

In earlydiabetic kidney disease,thereare contradictory resultsrelatedtotheroleofcystatinC.Aspursuanttoour study,two studiesshow that cystatinCisnot more sensi-tivethancreatinine.16,17Contrarytoourresults,inthestudy wherecystatinCbasedequationsandcreatininebased equa-tions like Schwartz,MDRD and CGformulasare compared and inameta-analysiswhere46studies included,cystatin C is considered superior than creatinine in determination ofdecreasedGFR.18,19 Althoughanegativeweakrelationis detectedincystatinCandeGFRinourstudy,itwasnot statis-ticallysignificant.Wethinkthatthissituationmightbedueto thelimitednumberofcasesinthepatientgroup.Inthestudy whereMussapandcolleagueshaveexamined52type2 dia-beticpatients,20eGFRhasdecreasedfrom120ml/m/1.73m2to

20ml/m/1.73m2andcystatinChasincreasedmorethanthe

serumcreatininehas.TheassociationbetweenCystatinCand eGFRwasdetectedstrongerthantheserumcreatinine.

Inthestudy ofSurendaretal.inIndianswhohave glu-coseintolerance,itwasdeterminedthatcystatinClevelshave increasedascomparative withglucoseintolerance and the highestcystatinClevelswerefoundinthegroupwhichhad microalbuminuriaandretinopathy.21Inourstudy,no differ-encewasdetectedintermsofretinopathyamongthegroups andcystatinClevelswerefoundhighestinthe normoalbu-minuricgroup.

Inthepreviousstudy,ROCanalysismadeforidentifying thediagnosticprofileofserumcystatinCinpredictingeGFR <60ml/dk/1.73m2inthetype2diabeticpatientsandassimilar

toourstudy,cut-offvalueisdetectedas1.06mg/dl,the sen-sitivityofserumcystatinClevelis81%andthespecificityis detectedas.22Aspursuanttoourstudy,serumcystatinClevel ofthenormoalbuminuricisdetectedassignificantlyhigher thanthepatientswithGFRof≤60ml/dk/1.73m2.Thismakes

usthinkthatcystatinClevelsofserumandurinearerelated with the subclinicalfailure and may bethe kidney uptake reagentswhicharemeasurableintheperiodearlierthanthe onsetofalbuminuria.InthestudyofYangandfriends,serum cystatinClevelshowedcorrelationwithMAlevel.23

WhenweconsidertherelationbetweenserumcystatinC andserumcreatininelevelsandMDRDinwholestudy pop-ulation wedetermined that the predictiveabilityof serum creatinineforGFRwashigher.Thisresult,whichisdiscordant withthemajorityoftheliterature,canbeconnectedtothe insufficiencyofthecasesinpatientgroups,selectingthecase fromthe patientswho haveearlyperiodDNandformation of25%ofthetotalpatientpopulationbymicroalbuminuric patientgroup.

Inthemicroalbuminuricpatientgroupandinthepatient groupwithGFR<60ml/m/1.73m2or>60ml/m/1.73m2,

nega-tiveandsignificantassociationwasfound.Thispatientgroup wasthe solepatient groupwithMA.Thisgroupwasmade upfromolderpatientsthannormoalbuminuricandtwoother

(6)

patientgroupswithGFR>90ml/m/1.73m2.Itisknownthat

theserumcystatinClevelincreaseswithadvancingage.The presenceofsignificantdifferenceamongthepatientgroupsin termsofage,canbeseenasanotherfactorwhichlimitsour study.

Inbothstudies,highserumcystatinClevelisassociated withtheprevious coronaryheartdisease.24,25 Assimilar to thesestudies,wehavefoundpositivesignificantcorrelation between CAD and serum cystatin C in the whole patient cohort.

OneofthecytokineswhichisresponsibleforDNinitiation andprogressionisTGF-␤.ItisproventhatTGF-␤intervenesto allpathologicalchangeswhichdependonthediabetickidney disease.26 TGF-causes kidneycellhypertrophy and exces-siveextracellularmatrixproductionininterstitialfibroblasts, glomerularandtubularcells.

In experimental DM, glomerular and tubule-interstitial compartments, expresses TGF-␤ or TGF-␤ type II receptor. Althoughthekidneyofthenon-diabeticsubjectremoves TGF-␤1fromtheblood,kidneyofadiabeticpatientreleasesTGF-␤1 proteinintothecirculation.TGF-␤1levelwhichhasincreased inurineisassociatedwithadverseclinicaloutcomes.27In3 patientgroupswhichdonothaveMAinourstudy,wehave foundtheserum andurineTGF-␤1levelswere significantly higherinthegroupswithMA.

Increased kidney TGF-␤1 production in the diabetic patients was examined and renal vein TGF-␤1 concentra-tionwasfoundpositiveindiabeticpatientsandnegativein non-diabetic patients.27 Urine TGF-␤1 level in the diabetic patientsincreasedfourfoldthanthenon-diabeticpatientsand ascontrarytoourstudy,increasedurineTGF-␤1excretionwas presentinalldiabeticpatientsirrespectiveofMAstatus.

Therearesomelimitationsofourstudythatneedtobe mentioned.The mostimportant limitation ofour study is theestimation ofGFRmeasurements. Allestimates ofGFR basedonserumcreatininewillbeaffectedfromphysiologic and/orpathologiclimitations28andbefarfromidealGFR.On theotherhand,recentstudiesshowedtheCKD-EPIcreatinine equationhassimilarGFRpredictionindifferentpatient pop-ulationcomparedwiththeMDRDStudyequation,eveninthe earlierCKDstages.29,30 Inaddition,the CKD-EPI creatinine-cystatinCequationismoresuitablecomparedwithstandard reference for cystatin C and creatinine based equations.31 However, the cost effectivenessof the CKD-EPI creatinine-cystatinCequationforclinicaluseshouldbeconsidered.The secondimportantlimitationisthesamplesizeofthestudy groups.Butwewantedtobesureaboutpatientswithtype2 diabetesmellituswithoutknownovertdiabeticnephropathy. Largernewclinicaltrialsarerecommendedtodeterminethe roleofserumcystatinC,serumandurineTGF-␤1levelasan earlybiomarkerofdiabeticnephropathy.Thethird,diabetic footulcerwithorwithoutconcomitantperipheralarterial dis-easeis considered astwo separatedisease.32 Inour study, wedidnotexamthepatientswhethertheyhaveperipheral vasculardisease.

Conclusion

Althoughurinaryalbuminexcretionissuggestedfordetection

oftype2diabeticnephropathy,thereisgroupofpatientswith

decreasedeGFRbutwithoutincreasedurinaryalbumin

excre-tion,inwhichserumcystatinClevelwasindicatedtobeused

asanearly biomarkerofdiabetic nephropathy.In addition,

despitethatserumandurineTGF-␤1levelswerealso

signifi-cantlyhigherinpatientswithMA,onlyincreasedurineTGF-␤1

excretionwaspresentinalldiabeticpatientsirrespectiveof

MAstatus.

Conflict

of

interest

Theauthorsdeclarenoconflictofinterest.

r

e

f

e

r

e

n

c

e

s

1.ParvingHH.Diabeticnephropathy:preventionandtreatment.

KidneyInt.2001;60:2041–55.

2.VibertiGC,HillRD,JarrettRJ,ArgyropoulosA,MahmudU,

KeenH.Microalbuminuriaasapredictorofclinical

nephropathyininsulin-dependentdiabetesmellitus.Lancet.

1982;1:1430–2.

3.Rask-MadsenC,KingGL.Kidneycomplications:factorsthat

protectthediabeticvasculature.NatMed.2010;16:40–1.

4.GrossJL,deAzevedoMJ,SilveiroSP,CananiLH,CaramoriML,

ZelmanovitzT.Diabeticnephropathy:diagnosis,prevention,

andtreatment.DiabetesCare.2005;28:164–76.

5.LaterzaOF,PriceCP,ScottMG.CystatinC:animproved

estimatorofglomerularfiltrationrate?ClinChem.

2002;48:699–707.

6.StephensonJM,FullerJH.Microalbuminuriaisnotrarebefore

5yearsofIDDM.EURODIABIDDMComplicationsStudyGroup

andtheWHOMultinationalStudyofVascularDiseasein

DiabetesStudyGroup.JDiabetesComplicat.1994;8:166–73.

7.SchultzCJ,Konopelska-BahuT,DaltonRN,CarrollTA,

StrattonI,GaleEA,etal.Microalbuminuriauriaprevalence

varieswithage,sex,andpubertyinchildrenwithtype1

diabetesfollowedfromdiagnosisinalongitudinalstudy.

OxfordRegionalProspectiveStudyGroup.DiabetesCare.

1999;22:495–502.

8.HarmoinenAP,KouriTT,WirtaOR,LehtimäkiTJ,Rantalaiho

V,TurjanmaaVM,etal.EvaluationofplasmacystatinCasa

markerforglomerularfiltrationrateinpatientswithtype2

diabetes.ClinNephrol.1999;52:363–70.

9.MartinMV,BarrosoS,HerraezO,DeSandeF,CaravacaF.

CystatinCasarenalfunctionestimatorinadvancedchronic

renalfailurestages.Nefrologia.2006;26:433–8.

10.LópezGJ,SacristánEB,MicóM,AriasMF,deSandeMF,AlejoS.

SerumcystatinCandmicroalbuminuriainthedetectionof

vascularandrenaldamageinearlystages.Nefrologia.

2010;31:560–6.

11.MacisaacRJ,JerumsG.Albuminuricandnon-albuminuric

pathwaystorenalimpairmentindiabetes.Minerva

Endocrinol.2005;30:161–77.

12.TsalamandrisC,AllenTJ,GilbertRE,SinhaA,

PanagiotopoulosS,CooperME.Progressivedeclineinrenal

functionindiabeticpatientswithandwithoutalbuminuria.

Diabetes.1994;43:649–55.

13.LeveyAS,BoschJP,LewisJB,GreeneT,RogersN,RothD,etal.

Amoreaccuratemethodtoestimateglomerularfiltration

ratefromserumcreatinine:anewpredictionequation.

ModificationofDietinRenalDiseaseStudyGroup.AnnIntern

Med.1999;130:461–70.

14.AmericanDiabetesAssociationClinicalPractice

Recommendations2001.DiabetesCare.2001;24Suppl.

(7)

15.RigalleauV,LasseurC,PerlemoineC,BartheN,RaffaitinC,

ChauveauP,etal.Cockcroft–Gaultformulaisbiasedbybody

weightindiabeticpatientswithrenalimpairment.

Metabolism.2006;55:108–12.

16.PerlemoineC,BeauvieuxMC,RigalleauV,BailletL,BarthesN,

DeracheP,etal.InterestofcystatinCinscreeningdiabetic

patientsforearlyimpairmentofrenalfunction.Metabolism.

2003;52:1258–64.

17.OddozeC,MorangeS,PortugalH,BerlandY,DussolB.

CystatinCisnotmoresensitivethancreatininefordetecting

earlyrenalimpairmentinpatientswithdiabetes.AmJ

KidneyDis.2001;38:310–6.

18.Herget-RosenthalS,BokenkampA,HofmannW.Howto

estimateGFR-serumcreatinine,serumcystatinCor

equations?ClinBiochem.2007;40:153–61.

19.DharnidharkaVR,KwonC,StevensG.SerumcystatinCis

superiortoserumcreatinineasamarkerofkidneyfunction:

ameta-analysis.AmJKidneyDis.2002;40:221–6.

20.MussapM,DallaVestraM,FiorettoP,SallerA,VaragnoloM,

NosadiniR,etal.CystatinCisamoresensitivemarkerthan

creatininefortheestimationofGFRintype2diabetic

patients.KidneyInt.2002;61:1453–61.

21.SurendarJ,AnuradhaS,AshleyB,BalasubramanyamM,

AravindhanV,RemaM.CystatinCandcystatinglomerular

filtrationrateasmarkersofearlyrenaldiseaseinAsian

Indiansubjectswithglucoseintolerance(CURES-32).Metab

SyndrRelatDisord.2009;7:419–25.

22.JeonYK,KimMR,HuhJE,KangSY.CystatinCasanearly

biomarkerofnephropathyinpatientswithtype2diabetes.J

KoreanMedSci.2011;26:258–63.

23.YangYS,PengCH,LinCK,WangCP,HuangCN.Useofserum

cystatinCtodetectearlydeclineofglomerularfiltrationrate

intype2diabetes.InternMed.2007;46:801–6.

24.ShlipakMG,WasselFyrCL,ChertowGM,HarrisTB,

KritchevskySB,TylavskyFA,etal.CystatinCandmortality

riskintheelderly:thehealth,aging,andbodycomposition

study.JAmSocNephrol.2006;7:254–61.

25.ParikhNI,HwangSJ,YangQ,LarsonMG,GuoCY,RobinsSJ,

etal.ClinicalcorrelatesandheritabilityofcystatinC(fromthe

FraminghamOffspringStudy).AmJCardiol.2008;102:1194–8.

26.ChenS,JimB,ZiyadehFN.Diabeticnephropathyand

transforminggrowthfactor-beta:transformingourviewof

glomerulosclerosisandfibrosisbuild-up.SeminNephrol.

2003;23:532–43.

27.SharmaK,ZiyadehFN,AlzahabiB,McGowanTA,KapoorS,

KurnikBR,etal.Increasedrenalproductionoftransforming

growthfactor-beta1inpatientswithtypeIIdiabetes.

Diabetes.1997;46:854–9.

28.RuleAD,BaileyKR,SchwartzGL,KhoslaS,LieskeJC,Melton

LJ3rd.Forestimatingcreatinineclearancemeasuringmuscle

massgivesbetterresultsthanthosebasedondemographics.

KidneyInt.2009;75:1071–8.

29.BouquegneauA,Vidal-PetiotE,VrtonsnikF,CavalierE,Rorive

M,KrzesinskiJM,etal.ModificationofDietinRenalDisease

versusChronicKidneyDiseaseEpidemiologyCollaboration

equationtoestimateglomerularfiltrationrateinobese

patients.NephrolDialTransplant.2013;28Suppl.4:iv122–30.

30.MassonI,FlamantM,MaillardN,RuleAD,VrtovsnikF,Peraldi

MN.MDRDversusCKD-EPIequationtoestimateglomerular

filtrationrateinkidneytransplantrecipients.

Transplantation.2013;95:1211–7.

31.LiuX,MaH,HuangH,WangC,TangH,LiM,etal.Isthe

ChronicKidneyDiseaseepidemiologyCollaboration

creatinine–cystatinCequationusefulforglomerularfiltration

rateestimationintheelderly?ClinIntervAging.2013;8:1387.

32.PrompersL,SchaperN,ApelqvistJ,EdmondsM,JudeE,

MauricioD,etal.Predictionofoutcomeinindividualswith

diabeticfootulcers:focusonthedifferencesbetween

individualswithandwithoutperipheralarterialdisease.The

References

Related documents

This study used data from a large national birth cohort and defined those with a history of public care using data obtained from early childhood to the end of possible statutory

Microalbuminuria was present in 37.29 % of the patients out of the 118 patients studied and presence of MA significantly correlated to the Glasgow coma scale for

For example, the un- successful impeachment proceedings against Resident kemadasa in Septem- ber 1991 produced well-founded allega- tions that he was responsible for

In the given chart, the käraka for second house (Jupiter) is in the tenth house, whilst the käraka for the tenth house (Mercury) is placed in the second house, causing a

(a) Fill in the gaps (choose words from, or similar to: classified, yellow, lattice, secert, mandatory, unclas- sified, a linear structure, information flows,

• More specifically, the Nash equilibrium is a concept of game theory where the optimal outcome of a game is one where no player has an incentive to deviate from his

The differential conductance shows the conductance as function of finite source-drain bias voltage at different (fixed) gate voltages.. Both the linear and differential conductance