Complementary value of molecular, phenotypic, and functional aging biomarkers in dementia prediction
Authors: Engvig Andreas , Kalleberg Karl Trygve , Westlye Lars T. , Leonardsen Esten Høyland ,   Alzheimer’s Disease Neuroimaging Initiative Consortium, Weiner Michael , Aisen Paul , Petersen Ronald , Jack Clifford R. , Jagust William , Trojanowski John Q. , Toga Arthur W. , Beckett Laurel , Green Robert C. , Saykin Andrew J. , Morris John C. , Shaw Leslie M. , Liu Enchi , Montine Tom , Thomas Ronald G. , Donohue Michael , Walter Sarah , Gessert Devon , Sather Tamie , Jiminez Gus , Harvey Danielle , Bernstein Matthew , Fox Nick , Thompson Paul , Schuff Norbert , DeCarli Charles , Borowski Bret , Gunter Jeff , Senjem Matt , Vemuri Prashanthi , Jones David , Kantarci Kejal , Ward Chad , Koeppe Robert A. , Foster Norm , Reiman Eric M. , Chen Kewei , Mathis Chet , Landau Susan , Cairns Nigel J. , Householder Erin , Reinwald Lisa Taylor , Lee Virginia , Korecka Magdalena , Figurski Michal , Crawford Karen , Neu Scott , Foroud Tatiana M. , Potkin Steven , Shen Li , Kelley Faber , Kim Sungeun , Nho Kwangsik , Kachaturian Zaven , Frank Richard , Snyder Peter J. , Molchan Susan , Kaye Jeffrey , Quinn Joseph , Lind Betty , Carter Raina , Dolen Sara , Schneider Lon S. , Pawluczyk Sonia , Becerra Mauricio , Teodoro Liberty , Spann Bryan M. , Brewer James , Vanderswag Helen , Fleisher Adam , Heidebrink Judith L. , Lord Joanne L. , Petersen Ronald , Mason Sara S. , Albers Colleen S. , Knopman David , Johnson Kris , Doody Rachelle S. , Meyer Javier Villanueva , Chowdhury Munir , Rountree Susan , Dang Mimi , Stern Yaakov , Honig Lawrence S. , Bell Karen L. , Ances Beau , Carroll Maria , Leon Sue , Householder Erin , Mintun Mark A. , Schneider Stacy , Oliver Angela , Griffith Randall , Clark David , Geldmacher David , Brockington John , Roberson Erik , Grossman Hillel , Mitsis Effie , deToledo-Morrell Leyla , Shah Raj C. , Duara Ranjan , Varon Daniel , Greig Maria T. , Roberts Peggy , Albert Marilyn , Onyike Chiadi , D’Agostino Daniel , Kielb Stephanie , Galvin James E. , Pogorele Dana M. , Cerbone Brittany , Michel Christina A. , Rusinek Henry , de Leon Mony J. , Glodzik Lidia , De Santi Susan , Doraiswamy P. Murali , Petrella Jeffrey R. , Wong Terence Z. , Arnold Steven E. , Karlawish Jason H. , Wolk David A. , Smith Charles D. , Jicha Greg , Hardy Peter , Sinha Partha , Oates Elizabeth , Conrad Gary , Lopez Oscar L. , Oakley MaryAnn , Simpson Donna M. , Porsteinsson Anton P. , Goldstein Bonnie S. , Martin Kim , Makino Kelly M. , Ismail M. Saleem , Brand Connie , Mulnard Ruth A. , Thai Gaby , McAdams-Ortiz Catherine , Womack Kyle , Mathews Dana , Quiceno Mary , Arrastia Ramon Diaz , King Richard , Weiner Myron , Cook Kristen Martin , DeVous Michael , Levey Allan I. , Lah James J. , Cellar Janet S. , Burns Jeffrey M. , Anderson Heather S. , Swerdlow Russell H. , Apostolova Liana , Tingus Kathleen , Woo Ellen , Silverman Daniel H. S. , Lu Po H. , Bartzokis George , Radford Neill R. Graff , Parfitt Francine , Kendall Tracy , Johnson Heather , Farlow Martin R. , Hake Ann Marie , Matthews Brandy R. , Herring Scott , Hunt Cynthia , van Dyck Christopher H. , Carson Richard E. , MacAvoy Martha G. , Chertkow Howard , Bergman Howard , Hosein Chris , Black Sandra , Stefanovic Bojana , Caldwell Curtis , Hsiung Ging Yuek Robin , Feldman Howard , Mudge Benita , Past Michele Assaly , Kertesz Andrew , Rogers John , Trost Dick , Bernick Charles , Munic Donna , Kerwin Diana , Mesulam Marek Marsel , Lipowski Kristine , Wu Chuang Kuo , Johnson Nancy , Sadowsky Carl , Martinez Walter , Villena Teresa , Turner Raymond Scott , Johnson Kathleen , Reynolds Brigid , Sperling Reisa A. , Johnson Keith A. , Marshall Gad , Frey Meghan , Yesavage Jerome , Taylor Joy L. , Lane Barton , Rosen Allyson , Tinklenberg Jared , Sabbagh Marwan N. , Belden Christine M. , Jacobson Sandra A. , Sirrel Sherye A. , Kowall Neil , Killiany Ronald , Budson Andrew E. , Norbash Alexander , Johnson Patricia Lynn , Obisesan Thomas O. , Wolday Saba , Allard Joanne , Lerner Alan , Ogrocki Paula , Hudson Leon , Fletcher Evan , Carmichael Owen , Olichney John , DeCarli Charles , Kittur Smita , Borrie Michael , Lee T. Y. , Bartha Rob , Johnson Sterling , Asthana Sanjay , Carlsson Cynthia M. , Potkin Steven G. , Preda Adrian , Nguyen Dana , Tariot Pierre , Fleisher Adam , Reeder Stephanie , Bates Vernice , Capote Horacio , Rainka Michelle , Scharre Douglas W. , Kataki Maria , Adeli Anahita , Zimmerman Earl A. , Celmins Dzintra , Brown Alice D. , Pearlson Godfrey D. , Blank Karen , Anderson Karen , Santulli Robert B. , Kitzmiller Tamar J. , Schwartz Eben S. , Sink Kaycee M. , Williamson Jeff D. , Garg Pradeep , Watkins Franklin , Ott Brian R. , Querfurth Henry , Tremont Geoffrey , Salloway Stephen , Malloy Paul , Correia Stephen , Rosen Howard J. , Miller Bruce L. , Mintzer Jacobo , Spicer Kenneth , Bachman David , Finger Elizabether , Pasternak Stephen , Rachinsky Irina , Rogers John , Kertesz Andrew , Drost Dick , Pomara Nunzio , Hernando Raymundo , Sarrael Antero , Schultz Susan K. , Ponto Laura L. Boles , Shim Hyungsub , Smith Karen Elizabeth , Relkin Norman , Chaing Gloria , Raudin Lisa , Smith Amanda , Fargher Kristin , Raj Balebail Ashok 
Published: October 2024

AbstractDNA methylation age (MA), brain age (BA), and frailty index (FI) are putative aging biomarkers linked to dementia risk. We investigated their relationship and combined potential for prediction of cognitive impairment and future dementia risk using the ADNI database. Of several MA algorithms, DunedinPACE and GrimAge2, associated with memory, were combined in a composite MA alongside BA and a data-driven FI in predictive analyses. Pairwise correlations between age- and sex-adjusted measures for MA (aMA), aBA, and aFI were low. FI outperformed BA and MA in all diagnostic tasks. A model including age, sex, and aFI achieved an area under the curve (AUC) of 0.94 for differentiating cognitively normal controls (CN) from dementia patients in a held-out test set. When combined with clinical biomarkers (apolipoprotein E ε4 allele count, memory, executive function), a model including aBA and aFI predicted 5-year dementia risk among MCI patients with an out-of-sample AUC of 0.88. In the prognostic model, BA and FI offered complementary value (both βs 0.50). The tested MAs did not improve predictions. Results were consistent across FI algorithms, with data-driven health deficit selection yielding the best performance. FI had a stronger adverse effect on prognosis in males, while BA’s impact was greater in females. Our findings highlight the complementary value of BA and FI in dementia prediction. The results support a multidimensional view of dementia, including an intertwined relationship between the biomarkers, sex, and prognosis. The tested MA’s limited contribution suggests caution in their use for individual risk assessment of dementia.