biostudies-literatureJiang JShanghai Municipal Science and Technology Major Projectthe 111 ProjectNIA NIH HHSNational Natural Science Foundation of ChinaNCI NIH HHSNational Key Research and Development Program of ChinaBeijing Municipal Commission of Health and Family Planning2319-2336https://www.ebi.ac.uk/biostudies/studies/S-EPMC9616982biostudies-literatureUnknown44(4)Exploring individual hallmarks of brain ageing is important. Here, we propose the age-related glucose metabolism pattern (ARGMP) as a potential index to characterize brain ageing in cognitively normal (CN) elderly people. We collected ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET brain images from two independent cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 127) and the Xuanwu Hospital of Capital Medical University, Beijing, China (N = 84). During follow-up (mean 80.60 months), 23 participants in the ADNI cohort converted to cognitive impairment. ARGMPs were identified using the scaled subprofile model/principal component analysis method, and cross-validations were conducted in both independent cohorts. A survival analysis was further conducted to calculGeroScienceGlucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment.PMC961698261633018616032362018YFC1312000D2003181801052R01 AG071514P01 CA0956162017SHZDZX0182020108013U01 AG0249042018YFC17077042016YFC1306300R01 CA09414381830059PXM2020_026283_000002Massoglia DCrawford KBelden CMTaylor JLGrossman HElizabeth Smith KBrewer JRosen HJJames OLane BChertkow HDeCarli CGunter JLeon SFigurski MLord JLKendall TMontine TVillanueva-Meyer JWolk DTaylor-Reinwald LPetrella JRMathis CRachinsky IWoo EFrank RRoberson EGeldmacher DDuara RWatkins FReeder SGrafman Jde Leon MJOates ECelmins DWu CKMorrison RPawluczyk SJiminez GFletcher ELah JJDeVous MRaichle MMunic DSalloway SPeskind ERKarlawish JHMintun MATurner RSCapote HNeu SFeldman HKhachaturian ZJones DDang MJohnson KALee TYBernick CPreda ASaleem Ismail MAsthana SAisen PHosein COtt BRBurns JMHoltzman DBrockington JMacAvoy MGQuinn JChaing GSmith CDMintzer JSnyder PHsiao JRoberts PTrojanowski JQSwerdlow RHTremont GPaul SBorowski BLandau SFargher KDavis MKoeppe RAVaron DMcAdams-Ortiz CSorensen GHunt CJicha GRaudin LCarter RReynolds BKowall NGreen RCReiman EMFinley SLi GChen KBrand CPetrie ECBell KLKitzmiller TJTeodoro LChen GSirrel SAJacobson SACarlsson CMLi LZimmerman EAPomara NFleisher ASadowsky CFriedl KAnderson HSNho KPorsteinsson APTingus KJiang JMiller BLJohnson KJohnson NHayes JSchuff NJohnson SDiaz-Arrastia RRusinek HRobin Hsiung GYMartinez WKertesz AHonig LSShah RCJiang XLerner AMorris JFillit HKerwin DSchultz SKLind BVillena TJohnson HBachman DJagust WSaykin AJMason SSHeidebrink JLGessert DRosen AScharre DWAlbert MAnderson KPotkin SGFaber KApostolova LThompson PAlbers CSLiu CKittur SSchwartz ESVemuri PPetersen RShen LOliver ABudson AEClark DTinklenberg JSenjem MOnyike CVanderswag HThal LMartin KFurst AJSather TFleischman DSilverman DHSFrey MSpann BMStern YGreig MTBartzokis GJin SKaye JHefti FBartha RMitsis ENorbash AJay Fruehling JTrost DDavies PConrad GWalter SKielb SKnopman DAdeli ABernstein MKilliany RYesavage JANeylan TKataki MCairns NJQuiceno MDrost DOakley MArfanakis KHan YBuckholtz NMurali Doraiswamy PToga AWGalvin JED'Agostino DSantulli RBSabbagh MNHake AMForoud TMSchneider SBeccera MWeiner MSarrael ABlank KKim SI Levey ARelkin NArnold SESperling RACarson REHouseholder ELee VHudson LRainka MPearlson GDFarlow MRMudge BBeckett LCarroll MJack CRHerring SLopez OLMesulam MMLipowski KGraff-Radford NRDolen SFoster NOgrocki Pvan Dyck CHQuerfurth HPonto LLBHernando RMulnard RAMalloy PGriffith RBates VLu PHGarg PMarson DWong TZSinha PGlodzik LWeiner MWPotter WSimpson DMde Toledo-Morrell LWilliamson JDKorecka MKuller LHarvey DWard CDe Santi SCorreia SWomack KHardy PMartin-Cook KMichel CAMathews DCarmichae OCerbone BMatthews BRAnces BSheng CShim HDoody RSChowdhury MAlzheimer’s Disease Neuroimaging InitiativeBrown ADBorrie MBergman HOlichney JRogers JThai GHarding SSchwartz AMakino KMKing RCellar JSSchneider LSSpicer KPasternak SSmith AMarshall GParfitt FDonohue MJohnson PLRaj BARountree SNguyen DAllard JAssaly MTariot PGoldstein BSShaw LMSink KMThomas RGKantarci KfalseGlucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment.Exploring individual hallmarks of brain ageing is important. Here, we propose the age-related glucose metabolism pattern (ARGMP) as a potential index to characterize brain ageing in cognitively normal (CN) elderly people. We collected ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET brain images from two independent cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 127) and the Xuanwu Hospital of Capital Medical University, Beijing, China (N = 84). During follow-up (mean 80.60 months), 23 participants in the ADNI cohort converted to cognitive impairment. ARGMPs were identified using the scaled subprofile model/principal component analysis method, and cross-validations were conducted in both independent cohorts. A survival analysis was further conducted to calcul2022-01-01T00:00:00Z2022 Aug2026-05-28T03:35:32.613Z2024-10-17T18:37:14.459ZS-EPMC96169823558151210.1007/s11357-022-00588-2