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www.rpped.com.br

REVISTA

PAULISTA

DE

PEDIATRIA

ORIGINAL

ARTICLE

The

role

of

uric

acid

in

the

insulin

resistance

in

children

and

adolescents

with

obesity

Josiane

Aparecida

de

Miranda

a,

,

Guilherme

Gomide

Almeida

b

,

Raissa

Isabelle

Leão

Martins

b

,

Mariana

Botrel

Cunha

b

,

Vanessa

Almeida

Belo

c

,

José

Eduardo

Tanus

dos

Santos

c

,

Carlos

Alberto

Mourão-Júnior

b

,

Carla

Márcia

Moreira

Lanna

b

aUniversidadeEstadualdeCampinas(Unicamp),Campinas,SP,Brazil bUniversidadeFederaldeJuizdeFora(UFJF),JuizdeFora,MG,Brazil cUniversidadedeSãoPaulo(USP),RibeirãoPreto,SP,Brazil

Received19December2014;accepted29March2015 Availableonline24August2015

KEYWORDS

Childhoodobesity; Insulinresistance; Uricacid

Abstract

Objective: Toinvestigatetheassociationbetweenserumuricacidlevelsandinsulinresistance inchildrenandadolescentswithobesity.

Methods: Cross-sectionalstudywith245childrenandadolescents(134obeseand111controls), aged8---18years.Theanthropometricvariables(weight,heightandwaistcircumference),blood pressureandbiochemicalparameterswerecollected.Theclinicalcharacteristicsofthegroups wereanalyzedbyt-testorchi-squaretest.Toevaluatetheassociationbetweenuricacidlevels andinsulinresistancethePearson’stestandlogisticregressionwereapplied.

Results: Theprevalenceofinsulinresistancewas26.9%.Theanthropometricvariables,systolic anddiastolicbloodpressureandbiochemicalvariablesweresignificantlyhigherintheobese group(p<0.001),exceptforthehigh-density-lipoproteincholesterol.Therewasapositiveand significant correlationbetweenanthropometricvariables anduricacidwithHOMA-IR inthe obeseandinthecontrolgroups,whichwashigherintheobesegroupandinthetotalsample. Thelogisticregressionmodelthatincludedage,genderandobesity,showedanoddsratioof uricacidasavariableassociatedwithinsulinresistanceof1.91(95%CI1.40---2.62;p<−0.001).

Conclusions: The increase inserum uricacid showed apositive statistical correlationwith insulin resistanceanditisassociated withand increasedriskofinsulinresistanceinobese childrenandadolescents.

©2015SociedadedePediatriadeS˜aoPaulo.PublishedbyElsevierEditoraLtda.Thisisanopen accessarticleundertheCCBY-license(https://creativecommons.org/licenses/by/4.0/).

DOIoforiginalarticle:http://dx.doi.org/10.1016/j.rpped.2015.03.009

Correspondingauthor.

E-mail:josianemiranda21@hotmail.com(J.A.Miranda).

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PALAVRAS-CHAVE

Obesidadepediátrica; Resistênciaàinsulina; Ácidoúrico

Opapeldoácidoúriconaresistênciainsulínicaemcrianc¸aseadolescentescom obesidade

Resumo

Objetivo: Investigaraassociac¸ãoentreosníveisséricosdeácidoúricoeresistênciainsulínica emcrianc¸aseadolescentescomobesidade.

Métodos: Estudotransversal,com245crianc¸aseadolescentes(134obesose111controles), comidadeentreoitoe18anos.Foramcoletadasvariáveisantropométricas(peso,estaturae circunferênciaabdominal),pressãoarterialeparâmetrosbioquímicos.Ascaracterísticas clíni-casdosgruposforamanalisadaspelotestetoupeloqui-quadrado.Paraavaliaraassociac¸ão entreosníveisdeácidoúricoearesistênciainsulínicautilizou-seotestedePearsoneregressão logística,sendoaresistênciainsulínicaavariáveldependentenomodeloderegressão.

Resultados: Aprevalênciaderesistênciainsulínicafoide26,9%.Asvariáveisantropométricas, apressãoarterialsistólicaediastólicaeasvariáveisbioquímicasforammaioresnogrupoobeso (p<0,001),excetoocolesteroldealtadensidade.Foiobservadacorrelac¸ãopositivae significa-tivaentreasvariáveisantropométricaseoácidoúricocomoHOMA-IRnogrupoobesoeno controle,sendoestamaiornogrupoobesoenaamostratotal.Nomodeloderegressão logís-ticaqueincluiuidade,sexoeobesidade,aOddsRatiodoácidoúricocomofatorassociadoà resistênciainsulínicafoi1,91(IC95%1,40---2,62;p<0,001).

Conclusões: Observa-se queoaumento nonível séricode ácido úricoapresenta correlac¸ão estatísticapositivacomaresistênciainsulínicaeestáassociadoàelevac¸ãonoriscodamesma, emcrianc¸aseadolescentesobesos.

©2015SociedadedePediatriadeS˜aoPaulo.PublicadoporElsevierEditoraLtda.Esteéumartigo OpenAccesssobalicençaCCBY(https://creativecommons.org/licenses/by/4.0/deed.pt).

Introduction

Uricacidistheendproductofpurinemetabolism,produced bytheliverandexcretedbythekidneys,1withrecognized

antioxidantaction when itsblood levelsarewithin

physi-ologicallimits.2However,theincreaseinitsserumlevels,

calledhyperuricemia,isanindependentriskfactorfor

car-diovasculardiseaseandalsohasaroleinthedevelopment

ofmetabolicdiseases.3---5Moreover,recentprospective

stud-ieswithrepresentative samplesindicatehyperuricemia as

apredictor for the developmentof insulin resistanceand

type 2 diabetes mellitus.4,5 Krishnan et al.5 showed that

hyperuricemiaincreasesby1.87-foldthechanceof

devel-opingtype2diabetesmellitusand1.36-foldthechanceof

developinginsulinresistanceafter15yearsoffollow-up.

Oneofthepathologicalconditionsassociatedwith

hype-ruricemiaisobesity.6,7 Obeseindividualshave lowerrenal

excretion, and may also have increased production of

uric acid.8 In children and adolescents, studies indicate

that the association between hyperuricemia and

obe-sity is positive6 and it is associated with cardiometabolic

complications, such as hypertension, atherosclerosis and

metabolicsyndrome.9---12Yooetal.13studiedtheprevalence

of insulin resistance and metabolic syndrome in patients

withgout, which is a metabolic disease characterized by

hyperuricemiaanddepositionofmonosodiumuratecrystals

inthejointsandtissues.Theauthorsconcludedthatthese

patientshaveahigherprevalenceofinsulinresistanceand

metabolicsyndromewhencomparedtotheirhealthypeers,

andthathyperuricemiainassociationwithinsulinresistance

maybecausedbyabdominalobesity.13

Inthiscontext,inwhichhyperuricemiahasbeen

identi-fiedasanotherlinkbetweenobesityandinsulinresistance,

studies in thepediatric population arescarce. Therefore,

the aim of this study was to investigate the association

between serum uric acid levels and insulin resistance in

obesechildrenandadolescents.

Method

Cross-sectionalstudywithaquantitativeapproach,partof aprojectentitled‘‘Associationofgeneticpolymorphismsof cardiovascular relevance with systemic arterial hyperten-sionandobesityinchildhoodandadolescence’’,approved by theInstitutional Review Boardof UniversidadeFederal deJuizdeFora,processnumber1942.001.2010. Allthose involvedintheresearch,parentsorguardiansandchildren andadolescentswereinformedofthestudyobjectivesand procedures,andthosewhoagreedtoparticipateinthestudy signedtheInformedConsentForm.

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Table1 Clinicalcharacteristicsofthestudygroups.

Variables Control(n=111) Obese(n=134) p

Gender(%F) 66 48 0.005

Age(years) 12.5±2.5 11.2±2.3 <0.001

BMI(kg/m2) 18.8

±2.6 27.0±4.5 <0.001

WC(cm) 68.7±8.7 90.2±12.8 <0.001

SBP(mmHg) 107.2±10.7 117.9±14.5 <0.001

DBP(mmHg) 66.6±9.2 74.5±9.5 <0.001

Totalcholesterol(mg/dL) 134.2±28.6 150.3±40.7 0.001

HDL-c(mg/dL) 44.1±9.7 38.5±9.7 <0.001

LDL-c(mg/dL) 73.7±21.1 91.8±33.1 <0.001

Triglycerides(mg/dL) 74.1±27.1 92.0±44.9 <0.001

Glucose(mg/dL) 82.3±10.5 86.6±9.4 0.001

Insulin(␮UI/mL) 9.4±4.0 13.8±6.2 <0.001

HOMA-IR 1.93±0.92 2.98±1.49 <0.001

Uricacid(mg/dL) 3.50±1.12 4.47±1.13 <0.001

F,female;M,male;BMI,bodymassindex;WC,waistcircumference;SBP,systolicbloodpressure;DBP,diastolicbloodpressure;HDL, high-densitylipoprotein;LDL,low-densitylipoprotein;HOMA-IR,homeostaticmodelassessmentforinsulinresistance.

infectionandpregnancy.Allchildrenandadolescents under-wentphysicalexamination.

Weight and height were measured while participants werewearinglightclothingandnoshoes.Heightwas mea-suredwitha0.1cm-accuracyusingawallstadiometer.Body weight was measured with a digital scale with a 0.1 kg-accuracy. Obesity was defined as body mass index (BMI) abovethe95thpercentileforage andgender.14 Waist

cir-cumference (WC)wasmeasuredusingan inelastictapeat

midpointbetweenthelastribandtheupperborderofthe

iliaccrest.15Bloodpressurewasmeasuredbyauscultation,

andtheappropriatecuffsizewasconsidered.Afterresting

for10mininaquietenvironment,bloodpressure

measure-ment was taken.16 After the physical examination, blood

collectionwasperformedby venipunctureinthemorning,

after12hoffasting.Thebloodwasimmediatelycentrifuged

atroomtemperature,andplasmaandserumsampleswere

storedat−70◦Cuntiltheywereanalyzed.

Thelevelsofglucose,uricacidandthelipidparameters

(totalcholesterol,triglyceridesandhigh-density-lipoprotein

cholesterol) were measured in serum, withroutine

enzy-maticmethods,usingcommercialkits(LabtestDiagnostics,

AS, Lagoa Santa, Brazil). The level of

low-density-lipoproteincholesterolwasestimatedusingtheFriedewald

formula.17 The insulin level was determined by serum

enzyme immunoassay kit (Genese Produtos Diagnósticos,

São Paulo, Brazil).The estimateof insulin resistance was

obtained through the Homeostasis Model Assessment for

InsulinResistance (HOMA-IR),which is theproductof

fas-tinginsulin (␮U/mL)andfastingplasmaglucose(mmol/L)

divided by 22.5. Insulin resistance is defined when the

HOMA-IRvaluewasgreaterthanorequalto3.16.18

Dataareshownasmean±standarddeviation.The

clini-calcharacteristicsofthegroupswereanalyzedusingthetor

Chi-squaretests.Toevaluatetheassociationbetweenage,

BMI,WC,systolicbloodpressure,diastolicblood pressure,

HDLanduricacidwithHOMA-IR,we usedPearson’s

corre-lationtest. Alogistic regression modelwasalsoproduced

tomeasuretheassociationbetweenuricacidlevels

(inde-pendentvariable)andinsulinresistance(binarydependent

variable).Otherindependentvariablesandpotentially

con-foundingvariables(age,genderandobesity)wereincluded

in theregression model in order tocontrol their possible

effectoninsulinresistance.Theselectedindependent

varia-bles were included in the model because of the known

associationbetweenthemandinsulinresistance.6The

sig-nificancelevelwassetat5%(p<0.05)foralltests,andthe

statisticalsoftwareusedwasSPSSversion15.0.

Results

Weevaluated245childrenandadolescents(55.9%females) and the prevalence of insulin resistance was 26.9%. The clinicalcharacteristicsoftheassessedgroupsareshownin Table1.As expected,theobesegrouphadhigherBMIand

WCvalues than the control group (p<0.001). The systolic

anddiastolicbloodpressureswerehigherintheobesegroup

whencomparedtothecontrolgroup(p<0.001).Inaddition,

allthebiochemicalcharacteristics,totalcholesterol,LDL,

triglycerides,glucose, uric acid, insulin and HOMA-IRhad

higherlevelsintheobesegroup,exceptfortheHDL,which

waslowerintheobesegroupwhencomparedtothecontrol

group(p<0.001).

Table 2 shows the results of the correlation analysis

betweenthevariablesage,BMI,WC,systolicbloodpressure,

diastolic blood pressure, HDL and uric acid with

HOMA-IR in obese, control groups and in both groups. In the

obesegrouptherewasapositiveandsignificantcorrelation

between most of the variableswith the HOMA-IR,except

forage,whichwasnotcorrelatedwithHOMA-IR,andHDL,

whichshowedanegativecorrelation.Inthecontrolgroup,

therewasapositiveandsignificantcorrelationbetweenBMI

andHOMA-IR and uricacid and HOMA-IR. When analyzing

the total sample, there is a positive and significant

cor-relationbetween most of the variablesand theHOMA-IR,

except for age, which was not correlated withHOMA-IR,

andHDL,whichshowedanegativecorrelation.The

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Table2 CorrelationbetweenHOMA-IRandthevariablesanalyzedbygroups.

Variables Obesegroup Controlgroup Totalsample

HOMA-IR HOMA-IR HOMA-IR

r p r p r p

Age(years) 0.065 0.458 0.036 0.708 −0.075 0.241

BMI(kg/m2) 0.355 <0.001 0.239 0.011 0.447 <0.001

SBP(mmHg) 0.261 0.003 0.128 0.197 0.292 <0.001

DBP(mmHg) 0.261 0.003 0.115 0.224 0.256 <0.001

WC(cm) 0.364 <0.001 0.119 0.222 0.437 <0.001

HDL(mg/dL) −0.118 0.029 −0.027 0.780 −0.258 <0.001 Uricacid(mg/dL) 0.282 0.001 0.214 0.024 0.380 <0.001

BMI,bodymassindex;WC,waistcircumference;SBP,systolicbloodpressure;DBP,diastolicbloodpressure;HDL,high-densitylipoprotein; HOMA-IR,homeostaticmodelassessmentforinsulinresistance.

acidshowedthebestcorrelations withHOMA-IR (r=0.447, r=0.437andr=380;p<0.001respectively).

The associationof insulinresistancewithuricacid lev-elswasalsoassessedinalogisticregressionmodel,which included age, gender and obesity as independent varia-bles.Thelogisticregressionmodelproducedtomeasurethe associationbetweenuricacidlevels(independentvariable) andinsulinresistance(binarydependentvariable)included other independent variables and potentially confounding variables(age,genderandobesity),included inthemodel tocontrol theirpossibleeffects oninsulin resistance.The dependent variable (insulin resistance) was dichotomized accordingtotheHOMA-IRcutoffpoint(3.16).Theoddsratio (OR)ofuricacidwas1.91(95%CI:1.40---2.62;p<0.001), indi-catingthattheincreaseofoneuricacidunitincreasesby 91%thelikelihoodofinsulinresistance.

Discussion

Themainfindingofthisstudywastheassociationbetween serumuricacidlevelsandinsulinresistanceinchildrenand adolescents,evenafteradjustingforage,obesityand gen-der. After adjusting for these variables, it was observed that,for everyincreaseof1mg/dLinserumuricacid lev-els,therewouldbea91%increaseinthechanceofinsulin resistance.Evenwhenanalyzingtheobeseandthecontrol groupsalone,uricacidandBMIshowedacorrelation with HOMA-IR(Table2).

Thisfindingisinagreementwithotherauthors,whoalso

observedanassociationbetweenuricacidlevelsandinsulin

resistance in studies involving children in a more limited

agerange.6,9Gil-Campos etal.6 foundthat inprepubertal

obesechildren,theuricacidlevelsweresignificantlyhigher

whencomparedtothecontrolgroup,afteradjustingfor

gen-der,ageandBMI associatedwithinsulin resistance.These

authorsproposethattheincreaseinserumlevelsofuricacid

maybeanindicatorofearlymetabolicchangesassociated

withother insulin resistancecharacteristics. In our study,

statisticaldifferencewasobservedregardingagebetween

theassessed groups, which was only half of the standard

deviation (50%), and with normal distribution. Thus, this

differencewasnot considered to beclinically significant,

consideringthedegreeofdispersionofthisvariable.

Infact,intheadultpopulation,recentprospective

stud-ies indicate that hyperuricemia is a predictor of insulin

resistanceandtype2diabetesmellitus.4,5,19Aftera

follow-upof15years,Krishnanetal.5showedthathyperuricemia

increases by 1.87-fold the chance of developing type 2

diabetes mellitusandby 1.36-foldthe chanceof

develop-ing insulinresistance. Ina meta-analysis,Kodama etal.19

showedanincreaseof17%intheriskoftype2diabetesfor

everyincreaseof1mg/dLinserumuricacid.

Althoughthephysiopathologicalmechanismsofthe

con-nection betweenhyperuricemia andinsulin resistanceare

not yet clearly established, hyperuricemia is often seen

as the result of the reduction in renal excretion of uric

acidundertheactionofhyperinsulinemia.1,20However,the

aforementionedstudiesopposethisidea,astheyshowthat

hyperuricemiaprecedesinsulinresistance.4,5,19

Inthisstudy,itwasalsonotpossibletoanswerwhatthe

physiopathological mechanisms of serum uric acid

contri-butiononinsulinresistanceareinobesity,but ourwork is

supportedbypreviousresultsofstudieswithanimalmodels

andclinicaltrials,sothatsomespeculationscanbemade.

Obesity is considered a significant risk factor for the

developmentofinsulinresistanceandtype2diabetes

mel-litus, as in obese individuals the adipose tissue releases

substances involved in the development of insulin

resis-tance, such as non-esterified fatty acids, hormones and

proinflammatory cytokines.21,22 Adipose tissue has the

capacitytosecretecytokinesandgrowthfactorsthat

partic-ipateinmanymetabolicprocesses.Someofthesecytokines,

withpro-inflammatorycharacteristicsthatareincreasedin

obesity,aredirectlyassociatedwithinsulinresistance,such

asleptin,TNF-␣andvisfatin,whileadiponectin,acytokine

with anti-inflammatory characteristics, is reduced in the

presenceofobesityandisdescribedasinverselyassociated

withinsulinresistance.21

Anotherfindingofourstudywasthattheobesegrouphad

statisticallyhigherserumuricacidlevelswhencomparedto

thecontrolgroup(4.47±1.13vs.3.50±1.12,p<0.001).This

characteristiccanbeattributedtothefollowingfactors:(1)

obeseindividualshavereducedrenalclearanceofuricacid,

whichcanresultinhigherserumlevels23;(2)adiposetissue,

similartotheliverandintestine,hasabundantactivity of

xanthineoxidase(enzymeresponsibleforcatalyzingpurines

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activityofxanthineoxidaseandincreasedproductionofuric

acidbyadiposetissue.8

One of the possible links between hyperuricemia and

insulin resistance seems to be endothelial dysfunction.

Hyperuricemia induction in animals resulted in reduced

nitricoxidebioavailability,vasoconstrictionandthe

devel-opmentof microvascular disease24 and, accordingto Park

et al.,25 uric acid is responsible for attenuating the

pro-ductionofnitricoxidebyreducingtheinteractionbetween

eNOS (endothelial nitric oxide synthase enzyme), and

calmodulin. In fact, clinical studies have shown that

ele-vated levels of uric acid are associated with impaired

vascular function in children and adolescents.12,26 Thus,

thehyperuricemia-mediatedendothelialdysfunctioncould

result in lower insulin uptake by reduced blood flow in

peripheraltissues(lessnitricoxidesupply).1

In addition tointerfering withnitric oxide production,

uric acid may also be responsible for its degradation.

Although, at physiological concentrations, uric acid has

antioxidant effects, thus being an endothelial protective

factor,theincreaseinserumlevelscausesittoplaya

pro-oxidant role, as its formation pathway through xanthine

oxidaseproducesreactiveoxygenspeciesandhydrogen

per-oxide, which, in excess, will react with the endothelial

nitricoxideandcreateperoxynitrite,animportantoxidizing

agent.27

Eventhoughtheobservedmeanserumuricacidlevelin

ourstudywassignificantlyhigherintheobesegroup,when

compared withcontrols, there is no consensusin the

lit-eratureonthe referencevaluesofthismarkerinchildren

andadolescents,whichpreventscomparisons.However,we

believethattheserumuricacidlevelisagoodalternativeto

assesscardiometabolicriskevenatayoungage,asitcanbe

seeninourresults.Forthispurpose,itbecomesnecessary

tocarryoutstudiesaimedatestablishingreferencevalues

tohelpinclinicaldiagnosis.

This study has some limitations and, amongthem, we

indicatetheuseofHOMA-IRtoassessinsulinresistance.This

indicator,although itis notthegold standard, isawidely

usedmethodbecauseofitsviability.Theabsenceof

puber-talstatusassessmentisanotherlimitation,consideringthe

agerangeused(8---18years).Thecross-sectionalnatureof

thestudydoesnotallowustoestablishacausalassociation

betweenthevariables.

Basedontheobservedresults,itcanbeconcludedthat

theincreaseinserumuricacidlevelshasapositive

statis-ticalcorrelationwithinsulinresistanceanditisassociated

withthe risk increaseof this resistancein obesechildren

andadolescents.

Funding

ThisstudywasfundedbytheFundac¸ãodeAmparoàPesquisa do Estado de São Paulo (FAPESP) and Coordenac¸ão de Aperfeic¸oamentodePessoaldeNívelSuperior(CAPES).

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

Acknowledgements

WethanktheNucleoInterdisciplinardeEstudosePesquisas emNefrologia(NIEPEN)andDr.DéboraCristineSouza-Costa.

References

1.LiC,HsiehMC,ChangSJ.Metabolicsyndrome,diabetes,and hyperuricemia.CurrOpinRheumatol.2013;25:210---6. 2.GlantzounisGK,TsimoyiannisEC,KappasAM,GalarisDA.Uric

acidandoxidativestress.CurrPharmDes.2005;11:4145---51. 3.Fang J, Alderman MH. Serum uric acid and

cardiovascu-lar mortality the NHANES I epidemiologic follow-up study, 1971---1992.NationalHealthandNutritionExaminationSurvey. JAMA.2000;283:2404---10.

4.JuraschekSP,McAdams-DemarcoM,MillerER,GelberAC, May-nardJW,PankowJS,etal.Temporalrelationshipbetweenuric acidconcentrationandriskofdiabetesinacommunity-based studypopulation.AmJEpidemiol.2014;179:684---91.

5.KrishnanE,PandyaBJ,ChungL, HaririA, DabbousO. Hype-ruricemia in young adults and risk of insulin resistance, prediabetes, and diabetes: a 15-year follow-up study.Am J Epidemiol.2012;176:108---16.

6.Gil-CamposM,AguileraCM,Ca˜neteR,GilA.Uricacidis asso-ciatedwithfeatures ofinsulinresistance syndrome inobese childrenatprepubertalstage.NutrHosp.2009;24:607---13. 7.FordES,LiC,CookS,ChoiHK.Serumconcentrationsofuric

acidandthemetabolicsyndromeamongUSchildrenand ado-lescents.Circulation.2007;115:2526---32.

8.TsushimaY,NishizawaH,TochinoY,NakatsujiH,SekimotoR, NagaoH,etal.Uricacidsecretionfromadiposetissueandits increaseinobesity.JBiolChem.2013;288:27138---49.

9.CardosoAS,GonzagaNC,MedeirosCC,CarvalhoDF.Association ofuricacidlevelswithcomponentsofmetabolicsyndromeand non-alcoholicfattyliverdiseaseinoverweightorobesechildren andadolescents.JPediatr(RioJ).2013;89:412---8.

10.ViazziF,AntoliniL,GiussaniM,BrambillaP,GalbiatiS, Mastri-aniS,etal.Serumuricacidandbloodpressureinchildrenat cardiovascularrisk.Pediatrics.2013;132:e93---9.

11.CivantosModinoS,GuijarrodeArmasMG,MonereoMejiasS, MontanoMartinezJM,IglesiasBolanosP,MerinoViverosM,etal. Hyperuricemiaandmetabolicsyndromeinchildrenwith over-weightandobesity.EndocrinolNutr.2012;59:533---8.

12.PacificoL, CantisaniV,AnaniaC,Bonaiuto E,Martino F, Pas-coneR,etal.Serumuricacidanditsassociationwithmetabolic syndromeandcarotidatherosclerosisinobesechildren.EurJ Endocrinol.2009;160:45---52.

13.YooHG,LeeSI,ChaeHJ,ParkSJ,LeeYC,YooWH.Prevalence ofinsulinresistanceandmetabolicsyndromeinpatientswith goutyarthritis.RheumatolInt.2011;31:485---91.

14.KuczmarskiRJ,OgdenCL,Grummer-StrawnLM,FlegalKM,Guo SS,WeiR,etal.CDCgrowthcharts:UnitedStates.AdvData. 2000:1---27.

15.FernandezJR,ReddenDT,PietrobelliA,AllisonDB.Waist cir-cumferencepercentilesinnationallyrepresentativesamplesof African-American,European-American,andMexican-American childrenandadolescents.JPediatr.2004;145:439---44. 16.Sociedade Brasileira de Cardiologia, Sociedade Brasileira de

Hipertensão,SociedadeBrasileirade,Nefrologia.VIDiretrizes BrasileirasdeHipertensão.ArqBrasCardiol.2010;95:1---51. 17.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the

concentrationoflow-densitylipoproteincholesterolinplasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499---502.

(6)

glucose/insulinratioandquantitativeinsulinsensitivitycheck indexforassessinginsulinresistanceamongobesechildrenand adolescents.Pediatrics.2005;115:e500---3.

19.KodamaS,SaitoK,YachiY,AsumiM,SugawaraA,TotsukaK, etal.Associationbetweenserumuricacidanddevelopmentof type2diabetes.DiabetesCare.2009;32:1737---42.

20.FeigDI,KangDH,JohnsonRJ.Uricacidandcardiovascularrisk. NEnglJMed.2008;359:1811---21.

21.VanGaalLF,MertensIL,DeBlockCE.Mechanismslinkingobesity withcardiovasculardisease.Nature.2006;444:875---80. 22.BalagopalPB,deFerrantiSD,CookS,DanielsSR,GiddingSS,

HaymanLL,etal.Nontraditionalriskfactorsandbiomarkersfor cardiovasculardisease:mechanistic,research,andclinical con-siderationsforyouth:ascientificstatementfromtheAmerican HeartAssociation.Circulation.2011;123:2749---69.

23.YamashitaS,MatsuzawaY,TokunagaK,FujiokaS,TaruiS. Stud-iesontheimpairedmetabolismofuricacidinobesesubjects: markedreductionofrenalurateexcretionanditsimprovement byalow-caloriediet.IntJObes.1986;10:255---64.

24.KhoslaUM,ZharikovS,FinchJL,NakagawaT,RoncalC,MuW, etal.Hyperuricemia inducesendothelialdysfunction.Kidney Int.2005;67:1739---42.

25.ParkJH,JinYM,HwangS,Cho DH,KangDH,JoI.Uricacid attenuatesnitricoxideproductionbydecreasingtheinteraction between endothelialnitricoxidesynthase and calmodulinin humanumbilicalveinendothelialcells:amechanismforuric acid-inducedcardiovasculardiseasedevelopment.NitricOxide. 2013;32:36---42.

26.Ishiro M, Takaya R, Mori Y, Takitani K, Kono Y, Okasora K, etal.Associationofuricacidwithobesityandendothelial dys-function inchildren and earlyadolescents. Ann NutrMetab. 2013;62:169---76.

Imagem

Table 1 Clinical characteristics of the study groups.
Table 2 Correlation between HOMA-IR and the variables analyzed by groups.

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In a study performed by Barakat, Moustafa and Bikhazi (2012), it was found that 4 weeks of treatment with sodium selenite (5 ppm in drinking water) increased mRNA and protein

The elevated levels of insulinemia and insulin resistance found in the present study, associated with the higher prevalence of metabolic syndrome, further confirm that patients