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AnnalsofHepatology18(2019)563–570

ContentslistsavailableatScienceDirect

Annals

of

Hepatology

j o ur na l h o me p a g e : w w w . e l s e v i e r . e s / a n n a l s o f h e p a t o l o g y

Original

article

Non-alcoholic

fatty

liver

disease

and

neurological

defects

Rita

Moretti

a,∗

,

Paola

Caruso

a

,

Silvia

Gazzin

b

aNeurologyClinic,DepartmentofMedical,Surgical,andHealthSciences,UniversityofTrieste,Trieste,Italy bItalianLiverFoundation,CentroStudiFegato,Trieste,Italy

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received1February2019 Accepted11April2019 Availableonline6May2019

Keywords: Liversteatosis Vascularriskfactors Neurologicaldisorders Behaviordiseases

a

b

s

t

r

a

c

t

IntroductionandObjectives:Nonalcoholicfattyliverdisease(NAFLD)canbeconsideredoneofthemost commoncausesofliverdiseaseinourdaysandisregardedasoneofthenewestvascularriskfactorsfor cerebrovascularandotherneurologicaldiseases.

Materialsandmethods:Westudiedagroupofneurologicaloutpatients,dividedintotwohomogenous groupsbasedonthepresenceorabsenceofNAFLD.

Resultsandconclusions:WetestifiedanindependentrelationshipbetweenNAFLDandcommonvascular riskfactors(age,sex,educationallevel,BMI,cholesterolandlipidassessment,Hb1ac).Atthesametime, weascertainedanindependentrelationshipbetweenNAFLDandmorerecentlyrecognizedvascularrisk factors,suchaslackoffolate,vitaminB12andvitaminD-OH25,andincreasedlevelsofhomocysteine. Finally,wehavedocumentedthatNAFLDshowedworseexecutiveandfrontalfunctions,andbehavioral changes,suchasdepressivemoodandanxiety,andapathy.

©2019Fundaci ´onCl´ınicaM ´edicaSur,A.C.PublishedbyElsevierEspa ˜na,S.L.U.Thisisanopenaccess articleundertheCCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).

1. Introduction

Non-alcoholicfattyliverdisease(NAFLD)wasdefinedas“mild, moderateorseveresteatosisasdeterminedbyultrasound,inthe absenceofelevatedalcoholconsumption”(generallyestimatedas morethan20g/dayforwomenandmorethan30g/dayformen), andintheabsenceofapositivetestforviralhepatitisBorC[1,2]. NAFLDisconsideredoneofthemostcommoncausesofchronic liverdisease[3–5].Ithasbeenreportedthatitisgradually becom-ingoneofthemostprevalentliverdiseases,identifiedonimaging in20–33%ofadults[1,6,7].

NAFLDhasbeenrecentlyassociatedwithcardiovasculardisease andislinkedwithvascularriskfactors,suchasobesity, hyperten-sion,type2diabetes,dyslipidemia[8–10].Somestudies[4,11]also proposedthatNAFLDcouldbeconsideredanindependentvascular riskfactor.WonSeoetal.[3]hypothesizedforthefirsttimethat NAFLDcouldbeindependentlyassociatedwithcognitive impair-ment.

Ourstudywasaimedtofindapossibleindependent relation-shipwithmorerecentlyrecognizedvascularriskfactors,suchas lackoffolate,vitaminB12andvitaminD-OH25,andincreased

lev-夽 TheauthorsthankMr.AndrewHighgatefortherevisionofthemanuscript. ∗ Correspondingauthorat:NeurologyClinic,DepartmentofMedical,Surgical,and HealthSciences,UniversityofTrieste,Trieste,Italy.

E-mailaddress:moretti@units.it(R.Moretti).

elsofhomocysteine[12–16].Moreover,wewanttodeterminea possibleindependentrelationshipwithcognitiveandbehavioral changes,suchasfrontalexecutivefunctionsanddividedattention, depression,anxiety,andapathy,not,tothebestofourknowledge, togetherpreviouslystudied.

1.1. Subjectscharacteristics

Thestudyincluded1358,consecutivecasesofadultpatients referredtotheNeurologicalUnitoftheUniversityofTrieste,from June1st,2008toJune1st,2016.TheirreferraltoNeurologicalUnit wasdeterminedby differentdiagnosis:743suffering from cer-vicogenicheadaches,307sufferingfromamigraine,and308due toasingletransientischemicattack.Studysubjectsunderwenta standardizedbaseline assessment,thatincluded: adetailed his-tory;aphysicalexamination;laboratorytests;neuropsychological evaluations;anabdominalechography;acarotid Doppler ultra-sonography.Thephysicalexaminationincludedcardiacandblood pressureevaluation,peripheralpulses,retinalvesselexploration, electrocardiographicevaluation. Allthepatientswereevaluated withacompleteneurologicalexaminationandcompletedthetest withaseriesofneuropsychologicalexamination.

Alltherecruitedparticipantsunderwentagallbladderandliver examinationbyultrasoundwithaTOSHIBASSA-907machinewith a 3.75and5.0MHz transducerdataconcerningthepresenceof kidneytolivercontrast,echogenicwallswithintheintrahepatic vessels anddeepbeamattenuation,associated withthe

bright-https://doi.org/10.1016/j.aohep.2019.04.007

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564 R.Morettietal./AnnalsofHepatology18(2019)563–570

nessoftheliverparenchymaandgallbladderwallswasobtained. Weappliedastandardizedalgorithm,todefinetheextensionof thesteatosisasa4levelclassification(1:none;2:mild;3: mod-erate;4:severesteatosis).Patientsweredividedintotwogroups accordingtothepresenceorabsenceofNAFLD.671patientswere affectedbyNAFLD:amongthem,359sufferedfromcervicogenic headaches(GroupA),161sufferingfromamigraine(GroupB),and 151duetoasingletransientischemicattack(GroupC).Amongthe 687patientswithoutNAFLD(GroupD)384sufferedfroma cervico-genicheadache,146fromamigraineand157hadasingletransient ischemicattack.GroupDwasconsideredthecontrolpopulation.

Standardquestionnaireswereconductedwithallparticipants andincludedalcoholconsumption,smoking,druguse,andphysical activity.

ThepresentstudywasconductedfollowingtheDeclarationof Helsinki,andundertheEthicsGuidelines(Point4oftheCEUR Dec-laration)oftheCommitteeoftheUniversity–HospitalofTrieste, andwritteninformedconsentwasobtainedfromallthe partici-pants.

2. Methods

Diabetesmellituswasdefinedasvenousplasmaglucose concen-trationsof>120mg/dlafteranovernightfast.Glycatedhemoglobin (Hb1Ac)results have beenaligned to theassay appliedby the DiabetesControland Complication Trial(DCCT),expressedas a percentage; non-diabetic normal range has been considered a level 4–5.6%; 5.5–6.5%indicates a highrisk of developing dia-betes;avaluesuperiorto6.6%indicatesdiabetes[17,18].Clinical measurementincluded:totalserumcholesterol,triglycerides,and high-densitylipoprotein(HDL),low-densitylipoprotein(LDL)was calculatedbyFriedwald’sformula[19].Serumleveloffolate, vita-minB12andhomocysteinewerealsotested,asspecificmeasures ofvascularriskfactors.Liverenzymes,alanineaminotransferase (ALT)andaspartateaminotransferase(AST),aswellasasecond generationenzymeImmuno-assay(AbbottLaboratories,Chicago, IL)wasemployedtodetectthepresenceofhepatitisCantibodies, whileasolidphasecompetitiveimmunoassay(Abbott Laborato-ries)wasusedtodetectantibodiestothehepatitisBcoreantigen. Serumlevelsof25(OH)Dvitaminweremeasuredusingenzyme immune-assaykits(DIASourceImmunoAssay, SABelgium)and theclassificationofvitaminDfollowingtheNationalOsteoporosis Society[20].

Standardquestionnaireswereconductedwithallparticipants andincludedalcoholconsumption(AUDIT),smoking,druguse,and physicalactivity.

Weobtainedtheaveragedailyestimateforalcoholconsumption asanamountlessthan20g/dayforwomenandlessthan30g/day formen[21–23].

Thebodymassindex (BMI)wascalculated.Vascular impair-ment,tumor,orCNSprimaryinflammatoryordegenerativedisease wereexcludedbyaheadCT/MRIscan.

AnUltrasonographyCarotidexaminationhasbeendonetoall thepatients.

Allthepatientsunderwentasimplesequenceof neuropsychol-ogicaltests:

1.Frontal Assessment Battery (FAB; score: 0–18; 18=normal)

[24,25].

2.Beck’s Depression Inventory (version for Italian population) (score: 0–39; total score 10–19 indicated mild depression; totalscore20–29indicatedmoderatedepression;>30indicated severedepression)[26,27].

3.HamiltonAnxietyRatingScale (HAM-A)(score: 0–56;a total scorecomprised0–17,estimatedmildanxiety;18–24:mildto moderateanxiety;25–30:severeanxiety)[28].

4.ApathyEvaluationScore(AES-C)(clinicalexamination; score: 18–72;higherscoresreflectmoreapathy)[29].

5.StroopTest(reading,colornaming,andinterferencemistakes)

[30,31].

2.1. Statisticalanalysis

StatisticalanalysiswasperformedwithSPSSstatistics17.0(SPSS version17.0).Thedifferenceinbaselinecharacteristicsbetween theNAFLDandnoNAFLDpatientswasassessedbyANOVAtest,for categoricalvariables;incasetheANOVAresultswerefound signif-icant,themultiplecomparisonanalysiswasalsodonebytheTukey Test,toexaminethosegroups,whichweresignificantlydifferent fromeachother.Themultinomiallogisticregressionmethodwas appliedtoanalyzetherelationshipbetweendiseasestatus(NAFLD and control)consideringthem asthedependentvariable (non-metric),andage(metric),sex(non-metric),Labsvalues(allmetrics) asindependentvariables.

ToevaluatetherelationshipbetweenNAFLDandcognitiveand behavioralresults,weperformedamultivariatelinearregression analysis.

Inmodel1,weadjustedforsex,age,race,andeducationallevels; inmodel2wefurtheradjustedforvitaminD-OH25,folate,vitamin B12,andhomocysteinelevels.

3. Results

We recruited 1358 consecutive patients. 671patients were affectedbyNAFLD.687didnotsufferfromNAFLD(GroupD)and wereconsideredashealthycontrols.

Amongthe671NAFLDpatientsenrolled,five patients aban-donedthestudy,13wereexcluded forlackof compliance,653 patients completed the study. Group A included 341 patients; GroupBenrolled155patients,andGroupCcomprised151patients, foratotalof647patients.

In Group D, composed initially by 687 healthy controls, 12 patientsabandonedthestudyand22wereexcludedforthelackof compliance.Therefore,GroupDfinallycomprisedof653patients. Bydefinition,NAFLDdidnothaveHBVorHCVvirus Antibod-ies;IngroupA(341patients),83(24.3%)showedgrade2steatosis and258(75.6%)grade3steatosis.In GroupB(155patients),64 patients(41.2%)showedgrade2steatosis,89(57.4%)grade3of steatosis,and2 (1.3%)patientsgrade4 ofsteatosis.In GroupC (151patients),74patients(49%)showedgrade2steatosisand77 patients(50.9%)grade3steatosis.Thetwopatientswithgrade4 ofsteatosishavebeenfurtherstudiedandweredefinedas nonal-coholicsteatohepatitis(NASH):theyrepresent0.3%oftheNAFLD patients.

Nobodyinthecontrolgroupshowedsteatosis(Table1). AUDIT (WHO) measures indicated an average score of 6.4 (SD=2.1)in568NAFLDpatientsand7.8 (SD=1.3)in79NAFLD patients.GroupDAUDITscorewasof6.6(SD=2.5)in579patients and7.2(SD=3.1)in74patients.

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R.Morettietal./AnnalsofHepatology18(2019)563–570 565

Table1

SteatosisasdefinedbyThirdNationalHealthandNutritionExa.Survey,2010(numberofpatientsand%).

Steatosis GroupA(341pts) GroupB(155pts) GroupC(151pts) GroupD(653pts)

Grade1=none 0 0 0 653(100%

Grade2=mild 83(24.3%) 64(41.2%) 74(49%) 0

Grade3=moderate 258(75.6%) 89(57.4%) 77(50.9%) 0

Grade4=severe 0 2(1.3%) 0 0

Table2

Comparisonofmeanvaluesofvariousbiochemicalparametersinthethreegroupsandcontrols(MeansandSD).

Variable(normalvalues) GroupA(341) GroupB(155) GroupC(151) Controls(653) Fchi2value DF p-Value

Age(years) 54.1(2.1) 57.3(1.4) 56.7(1.2) 59.1(1.4) 2.66 2.24 0.63

Educationallevel(yrs) 7.7(1.3) 7.9(1.1) 8.1(1.7) 8.2(0.9) 0.67 3.11 0.45

GenderM/F 187/166 91/70 82/69 352/301 0.79 2.31 079 Hb1Ac(%) 6.2(0.3) 6.3(0.1) 6.7(0.2) 5.3(0.7) 0.67 3.11 0.05 Cholesterol(mg/dl) 207.4(24.1) 215.5(21.3) 213(20.7) 167.7(10.3) 0.71 3.21 0.05 Triglycerides(mg/dl) 139.4(17.6) 144.6(21.5) 147.7(20.1) 110.1(10.7) 0.75 3.13 0.01 HDL(mg/dl) 31.7(10.2) 29.7(5.7) 28.7(12.3) 33.2(5.7) 0.67 2.45 0.63 LDL(mg/dl) 147.8(10.1) 156.8(15.3) 154.7(13.6) 114.18(7.1) 0.69 2.7 0.01 vitaminDOH25(20–100mg/dl) 12.7(1.5) 11.7(2.9) 13.4(1.2) 22.9(3.7) 2.66 2.5 0.01 Folate(3.8–26ng/ml) 2.4(1.1) 1.8(1.1) 2.1(1.1) 5.1(1.1) 0.71 2.15 0.01 VitaminB12(201–870pg/ml) 129.2(11.7) 111.7(21.3) 112.4(12.3) 237.2(12.5) 0.91 2.32 0.01 Homocysteine(3–15mcmol/l) 19.3(2.1) 17.3(2.5) 19.7(3.9) 19.7(3.4) 5.77 2.41 0.01 ALT(U/l) 54.1(7.1) 57.7(8.1) 52.3(3.1) 21.3(1.1) 3.41 2.31 0.01 AST(u/L) 38.7(6.2) 35.7(3.2) 37.9(3.1) 18.1(1.3) 2.75 2.41 0.01

BMI(num.and%)

<18.5 17(4.9%) 15(9.6%) 8(5.2%) 57(8.7%) 0.79 3.21 0.43 18.5–24.9 32(9.3%) 17(10.9%) 14(9.2%) 152(23.4%) 0.87 2.48 0.05 25–29.9 105(30.7%) 56(36.1%) 49(32%) 284(43.3%) 0.81 3.41 0.05 30–34.9 137(40.1%) 60(38.7%) 67(44.3%) 155(23.7%) 0.82 3.46 0.01 >35 50(14.7%) 7(4.6%) 13(8.6%) 5(0.7%) 0.87 3.23 0.01 Table3

Neurologicalconditionsinthetwogroupsconsidered.

NAFLD Not-NAFLD Controlgroup

Neurologicalcondition GroupA GroupB GroupC GroupD

Cervicogenicheadaches 359 0 0 384

Migraine 0 161 0 146

Transientischemicattacks 0 0 151 157

a significantincrease ofglycated hemoglobin(p<0.05),of total cholesterol(p<0.05),triglycerides(p<0.01),andofLDL(p<0.01) thancontrols.TheyshowedadecreasedlevelofvitaminD-OH25 (p<0.01),folate(p<0.01),vitaminB12(p<0.01),elevatedlevelsof homocysteine(p<0.01),andhigherlevelsofASTandALT(p<0.01), thancontrols.

As expected, there is a higher percentage of increased BMI (30–35ormore)inNAFLD(p<0.01)thancontrols.Moreover,there isahigherpercentageofnot-hemodynamicstenosis(50–75%)in NAFLD(Table4).

PatientsofthethreegroupsdidworseintheFABtestthan con-trols(p<0.05) showingmoresevere executivealterations.They showedhigherlevelsofdepressivemood(accordingtoBeck’stest) (p<0.01)thancontrols.Atthesametime,theyshowedgreater anx-iety,accordingtoHAM-A(p<0.01)whencomparedtocontrolsand higherlevelsofapathy(AES-C)(p<0.01)(Table5).Moreover,they madehigherquantitiesofinterferencemistakesinSTROOPtest thancontrols(p<0.01).

We have considered four biochemical variables (low folate, vitamin B12, low vitamin D-OH25, and high homocysteine) and found them significantly different in the three Groups (Table 6). In NAFLD groups, the mean level of vitamin D-OH was lower than controls (p<0.01) (Table 6), and as seen in

Table 3, Group A population was entirely in an insufficiency condition,whereas GroupBin adeficiency status(NOSCriteria

[20]).

In NAFLDpopulations,mean Hcylevelswerehigher thanin controls(p<0.01)(Table6),aswellasfolateandvitaminB12 lev-els,weresignificantlylowerthancontrols(p<0.01)(Table6).The Multiple-comparisonTukeyTestconfirmedtheseresults(Table7). As demonstrated by the Univariate Regression Analysis, as showninTable8,crudeoddsratiosaresignificantforthe asso-ciationbetweenNAFLDandvitamininsufficiencyanddeficiency, folateandvitaminB12deficiencyandhighlevelofhomocysteine. Atthesametime,thereisapositiveassociationbetweenNAFLD andlowperformancesinFABandInterferencePartofStrooptest, higherlevelsofBeckHamiltonandAES-Ctest.

Thepresenceofarelationshipbetweenthemwascheckedbased onthestatisticalsignificanceofthefinalmodelchi-square,andthe existenceofarelationshipwasestablished.Alltheindependent variables,exceptedage,sex,andeducationallevel,hadsignificant contributionstowardNAFLDgroups(Table9).

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566 R.Morettietal./AnnalsofHepatology18(2019)563–570

Table4

Dopplerresults.

Doppler GroupA(341) GroupB(155) GroupC(151) Controls(653) Fchi2value DF p-Value

Intimalmedialthickening 293(85.9%) 97(62.5%) 20(13.5%) 453(69.3%) 0.27 2.17 0.63

Stenosis<50% 24(7.1%) 40(25.8%) 97(64.2%) 116(17.8%) 0.37 2.21 0.01

Stenosis50–75% 23(6.9%) 17(0.9%) 31(20.5%) 84(12.6%) 1.17 2.19 0.01

Stenosis>75% 1(0.3%) 1(0.6%) 3(1.9%) 0(0%) 4.31 2.41 0.54

Occlusion 0 0 0 0 0 0 0

Table5

Comparisonofmeanvaluesofneuropsychologicaltestsinthethreegroupsandcontrols(MeansandSD).

Characteristics GroupA(341) GroupB(155) GroupC(151) Controls(653) Fchi2value DF p-Value

FABtest 11.3(2.5) 11.6(1.7) 10.9(2.1) 115.6(1.2) 0.87 2.43 0.01 Beck’stest 27.1(1.3) 28.3(2.7) 29.1(2.3) 12.7(1.3) 0.74 2.9 0.01 HAM-Atest 36.4(2.7) 31.3(1.3) 27.1(3.1) 16(2.1) 0.08 2.02 0.01 AES-C 24.3(1.7) 26.7(2.1) 27.1(2.7) 11(2.1) 0.37 2.42 0.01 Strooptest Reading(correct) 84.5(2.7) 86.7(2.1) 83.1(1.7) 91.1(1.7) 0.75 2.41 0.36

Colornaming(correct) 61.7(3.1) 63.1(2.7) 64.1(1.9) 67.1(1.3) 0.77 2.34 0.54

Interferencemistakes(correct) 31.9(2.1) 32.7(3.1) 31.1(1.7) 17.3(1.7) 0.89 2.48 0.01

Table6

Comparisonofmeanvaluesofspecificbiochemical(dividedbydifferentlevels)andneuropsychologicalparametersinthethreegroupsandcontrols(MeansandSD).

Variable(normalvalues) GroupA(341) GroupB(155) GroupC(151) Controls(653) Fchi2value DF p-Value

vitD-OH25 <12ng/ml 0 11.7(2.9) 0 0 0.67 2.25 0.01 vitD-OH25 12–20ng/ml 12.7(1.5) 0 13.4(1.2) 0 0.87 2.13 0.01 vitD-OH25 >25ng/ml 0 0 0 22.9(3.7) 0.71 2.6 0.01 Hcy(3–14mcmol/l) 0 0 0 11.1(3.4) 0.34 2.11 0.01 Hcy(15–30mcmol/l) 19.3(2.1) 17.8(2.5) 19.7(3.9) 0 0.71 2.34 0.01 Folate(0.5–3.7ng/ml) 2.4(1.1) 1.8(1.1) 2.1(1.1) 0 0.47 2.17 0.01 Folate(3.8–26ng/ml) 0 0 0 5.1(1.1) 0.23 2.41 0.01 VitaminB12(90–204pg/ml) 129.2(11.7) 111.7(21.3) 112.4(12.3) 0 0.77 2.35 0.01 VitaminB12(205–870pg/ml) 0 0 0 237.2(12.5) 0.87 2.6 0.01

thattheincreaseofvitaminD-OH25decreasedthelikelihoodof NAFLD,withanexponentialBvalue0.85,whichimpliesthatforan increaseofvitaminB12levels,theoddsofhavingNAFLDdecreased by7%.Theregressioncoefficient(B)forthehomocysteinewas+0.57 forNAFLD;itindicatesthatthedecreaseofhomocysteinedecreased thelikelihoodofNAFLD,withanexponentialBvalue0.98,which impliesthatforadecreaseofhomocysteinelevels,theoddsof hav-ingNAFLDdecreasedby15%.

InordertoevaluatetherelationshipbetweenNAFLDand cogni-tiveandbehavioralimpairment,weperformedamultivariatelinear regressionanalysis:inmodel1,weadjustedforsex,age, educa-tionallevelandinmodel2wefurtheradjustedforvitaminD-OH25, folate,vitaminB12,andhomocysteine(Table10).

FAB,Beck,HAM-A, AES-Cand InterferenceMistakes number failedtohavealowerscoreconcerningage,sex,andeducational levels(seeallthemodel1regressioninTable9).Ontheotherhand, comparedtocontrols,NAFLDpatientshadlowerperformanceson FAB,higherscoresinBeck,HAM-A,andAES-Candhigher Inter-ferenceNumber of mistakesin Strooptest aftercontrolling for vitaminD-OH25,folate,vitaminB12andhomocysteine (respec-tively:FAB:B=0.72,95%CI:0.105–1.347,p<0.01;Beck:B=0.88, 95%CI:0.97–10.65,p<0.01;HAM-A:B=0.74,95%CI:0.32–2.31, p<0.01;AES-C:B=0.65,95%CI:0.4–2.6,p<0.01;Interference Mis-takesStroopTest:B=0.87,95%CI:0.3–2.3,p<0.05).

Theclassificationaccuracyrateofthelogisticmodelwas56.7%, whichwashigherthantheproportionalbychanceaccuracy;the criteriafortheclassificationaccuracyweresatisfied.

Finally,wedidnotfindacorrelationbetweenhigherlevelsof BeckScoresandlowerFABscores,orhigherInterferencemistakes test.WedidnotfindanyrelationbetweenhigherlevelsofHAM-A andlowerFABscoresorhigherInterferencemistakestest.Wedid findanot-significant,buteffectiverelationbetweenhigherlevels

ofAES-CandlowerFABscores(r=−0.67,p=0.064,Spearman’s cor-relationcoefficient),butnotwithhigherInterferencemistakestest. Asexpected,wedidfindapositivecorrelationbetweenBeck’sscore andHAM-A(r=0.89,p<0.01)(Spearman’scorrelationcoefficient), butanywithAES-C.

4. Discussion

This work is a cross-sectional study, covering 647 NAFLD-neurologicaloutpatients,and653control-outpatients.

WetestifiedthatNAFLD,followingdatapreviouslypublished, relatedtocommonvascularriskfactors,suchaslipidassessment and lowerHDL levels, Hb1ac,ASTand [9,11,32,33] and obesity

[34,35].

NAFLDhasbeenonlyrecentlyrelatedtolowerlevelsofvitamin Bcomplex[36],ithasbeenshylyrelatedtohigherlevelof homo-cysteine[37],andfinally,ithasbeentightenedtolowerlevelsof vitaminD(independenttobodymassandobesitystatus)[38,39].

Toourknowledge,thisisthefirstworkwhichreporteda posi-tivecorrelationwithNAFLDandlowlevelsofvitaminB12,folate, andvitaminDandwithhigherlevelsofhomocysteine.Moreover, wedocumentedthatforanincreaseofvitaminDlevels,theodds ofhavingNAFLDdecreasedby18%;foranincreaseoffolate lev-els,theoddsofhavingNAFLDdecreasedby9%;foranincreaseof vitaminB12levels,theoddsofhavingNAFLDdecreasedby7%,and foradecreaseofhomocysteinelevels,theoddsofhavingNAFLD decreasedby15%.

We demonstrated a higher percentage of not-hemodynamic carotidstenosis(50–75%)inNAFLDthaninthecontrolgroup,in linewithotherworks[40].

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R.Morettietal./AnnalsofHepatology18(2019)563–570 567

Table7

Multiplecomparisonanalysis(Tukeytest)ofvariousbiochemicalandneuropsychologicalparametersinthefourgroups.

Variables MeanDifferences SEofmeandifferences p-Value

VitaminD-OH25 AvsD −10.2 −2.1 0.05 BvsD −11.2 −1.96 0.01 CvsD −9.5 −1.7 0.01 Folate AvsD −2.7 −0.1 0.01 BvsD −3.3 −0.3 0.01 CvsD −3.0 −0.7 0.01 Homocysteine AvsD +8.1 0.6 0.01 BvsD +6.2 0.7 0.01 CvsD +8.6 1.1 0.01 VitaminB12 AvsD −101.7 −10.1 0.01 BvsD −119.7 −12.3 0.01 CvsD −118.6 −11.7 0.01 FAB AvsD −4.3 −1.1 0.01 BvsD −4.6 −0.7 0.01 CvsD −4.1 −1.2 0.01 HAM-A AvsD +20.4 +3.4 0.01 BvsD +15.7 +3.7 0.01 CvsD +21.1 +2.7 0.01 Beck AvsD +14.4 +2.3 0.01 BvsD +15.6 +3.1 0.01 CvsD +16.4 +2.7 0.01 AES-C AvsD +13.3 +2.1 0.01 BvsD +15.7 +1.9 0.01 CvsD +16.1 +1.6 0.01

InterferencemistakesStroop

AvsD +14.6 +2.5 0.01

BvsD +15.4 +2.9 0.01

CvsD +13.8 +2.1 0.01

Table8

Univariateregressionanalysis.

Dependentvariable Independentvariable Oddsratio 95%CI p

NAFLD vitD-OH25insufficiency 5.4 10.93–13.56 0.023

vitD-OHdeficiency 4.3 8.93–11.56 0.01

Folate 3.9 2.1–4.2 0.037 vit.B12 2.7 29.3–36.7 0.034 Hcy 4.5 17.3–19.7 0.036 FAB 2.7 10.9–11.8 0.045 BECK 2.3 12.7–29.1 0.047 HAmiltonAnxiety 5.73 11.2–31.1 0.011 InterferenceMistakes 5.4 12.3–35.7 0.019 Table9

Summaryofmultinomiallogisticregressionanalysis.

Variables Univariateassoc. Regressioncoefficient(B) SE p-Value EXP(B) 95%CIforexp.(B)

Dependent Independent OR 95%CI p-Value

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568 R.Morettietal./AnnalsofHepatology18(2019)563–570

Table10

AssociationbetweenNAFLDandneuropsychologicalvariableswithamultivariatelinearregressionanalysis.

B p-Value SE 95%CI FAB Model1 0.54 0.6 3.56 0.48–1.1 Model2 0.72 0.01 3.76 0.105–1.347 Beck Model1 0.12 0.7 3.1 0.002–0.21 Model2 0.88 0.01 3.44 0.97–10.65 HAM-A Model1 0.32 0.5 3.23 0.012–0.023 Model2 0.74 0.01 3.56 0.32–2.31 AES-C Model1 0.34 0.56 3.4 0.092–0.2 Model2 0.65 0.01 4.2 0.4–2.6

InterferenceMistakesStroopTest

Model1 6.67 0.67 3.65 0.5–13.1

Model2 0.87 0.05 3.4 0.3–2.3

Model1adjustedforage(continuous),sex(m/f),educationallevels(yearsschool).Model2adjustedforvitaminD-OH25,folate,vitaminB12andhomocysteine.

ofinterferencemistakes[30],higherscoresofBeckandHamilton AnxietyTest.Finally,amultivariatelinearregressionanalysis,as showninourmodel2,NAFLDpatientshadlowerperformanceson FAB,higherscoresinBeck,HAM-A,andAES-Candhigher Interfer-enceNumberofmistakesinStrooptestaftercontrollingforvitamin D-OH25,folate,vitaminB12,andhomocysteine.

Variousstudies havedemonstrated thatobese subjectshave lowerfolateserumlevelsincomparisonwithnormal-rangeBMI subjects[41,42].Furthermore,obesityis awell-known risk fac-torforNAFLD,asshowninourstudytoo[43].Therefore,ithas beensuggestedthatfolatedeficiencymayhaveapathogenicrole inNAFLD[36],anditleadstoamoresevereformofthedisease, mainlyinmetabolicsyndromeanddiabetesmellitustype2patients

[43].Moreover,Sidetal.[43]stressedtheimportanceoffolatein theprogressionofNAFLD,thusraisingthepossibilitythat supple-mentalfolatemaybeatreatmentoption(confirmedbyXiaetal.

[44]).

Anotherimportantfindingofthisstudywastheroleoflow vita-minB12levelsasanindependentpredictorofNAFLD:ithasbeen hypothesizedarelationshipbetweenvitaminB12lowscoresand NASHhistologicalseverity,andfibrosisgrade[36].Theseresults corroboratedpreviousstudies,which demonstrated thatNAFLD patientshavelowerserumlevelsofvitaminB12incomparisonto controls[45–47]andareincontrastwithsomeothers[48,49].In anotherstudy[50,51],higherlevelsofhomocysteinewereobserved in71NAFLDpatients,whichcorrelatednegativelywithfolateand B12concentrations.Therefore,Mahamidetal.[36]speculatedthat lowlevelsofvitaminB12mightpredictthedevelopmentofasevere formofNASH;highlevelsmayindicatethecommencementof end-stageliverdisease.

Evenmoredifficultistoexplainthedysexecutiveand atten-tiondisordersshowedinourNAFLDpatients, associatedwitha somewhat increased level of depression and anxiety. The cog-nitivealterations observedin ourstudywerein line, withthat describedby WonSeoet al.[3]: themagnitude ofthe associa-tionwithNAFLDwasrobustandpersistedwhen othervascular factorshavebeenincludedinmodels.AssuggestedbyWonSeo etal.[3]itremainspossiblethattheassociationbetweenNAFLD and cognitiveimpairment couldbean epiphenomenon,mainly duetothesuperimposingcardiovascularriskfactors, character-isticofthetwoconditions(NAFLDandcognitiveimpairment)or duetoaninflammatorycondition(commontoNAFLDand cogni-tiveimpairment[35,52–55]).Ourpatients,though,underwentto neuroimaging,andwedidnotfindanysignificantvascular alter-ation.Thebehavioraldisturbancesstudiedinourworkreflected

thatNAFLDwasmoredepressedandmoreanxious(inaccordance topreviousstudies,i.e.[56–59]),andasimagined,thereisapositive correlationbetweendepressionandanxietyscores.Curiously,none ofthepatientsrecruitedinthestudyauto-definedthemselvesas depressedoranxious.Toourbestknowledge,thisisthefirststudy whichanalyzesapathyscoreandfoundoutthatNAFLDrelatedwith ahigherscoreofapathy,whichdidnotrelatetodepressionor anx-iety[60].Thereisasinglework[61]that,employingnear-infrared spectroscopy(NIRS),foundoutthatJapanesewomen,withNAFLD, weremoredepressed,withlessconcentrationandshowedaminor valueofoxy-Hbconcentrationinthefrontallobe.

NIRStechniqueisnotentirelyanduniversallyaccepted[61,62], butitissuggestiveofsupportingourfindings,whicharestrongly relatedtofrontal–subcorticalsufferance.

One of the open questions could be if the observed spec-trumcouldbe a primaryeffect, concernedsomehowtoNAFLD orsecondarytoallthevascularfactors,whicharesuper-imposed to NAFLD? In accordance to the Literature, NAFLD comprises metabolicriskfactors,suchashypertension,highertriglycerides level,higherLDLandlowerHDL,diabetes,andobesity,andeven thecombinationofalltheriskfactors[63–65].Sincewehave con-sideredtwoneurologicalpopulations,indeed,onewithNAFLDand theotherwithoutit,themetabolicsyndrome,whichcharacterized NAFLD,didnotinfluenceneurologicalpathologies,perse.Thetwo groupsarematchedforneurologicalcomorbidities,whichdidnot seemtoberelatedtothemetabolicfactorswefoundintheNAFLD group.Ontheotherhand,theotherneuropsychologicalspectrum ofsymptoms,i.e.,apathy,depression,dysexecutivefunctions,has beenobservedinNAFLDgroup.Thequestionremainsunsolved: aretheyrelatedtoNAFLDorthemetabolicsymptomsboundto NAFLD?Ifso,behaviorandvascularriskscouldevenbemore pro-nounced inpatientswithNASH:a furtherpossibilityfor future studiescouldbethecomparisonofNAFLDandNASHpopulation; thiswillhopefullygivemoredata,withahealthygrouptobetter understandtherealroleofliveralterationinthe neuropsychologi-calprofile.

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R.Morettietal./AnnalsofHepatology18(2019)563–570 569

differenceshavethesameneurologicalconditionsthantheother groupandcanbethoroughlystudied.

Our data werethe firstto relatevitamin B12 and D, folate, andhomocysteine anddifferentneuropsychologicalvariablesto NAFLD,havingexcludedalcoholconsumption.

Morestudieswillbeneededtoimplementfurtherknowledge.

Conflictofinterest

Theauthorshavenoconflictsofinteresttodeclare.

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