Impact of amyloid and cardiometabolic risk factors on prognostic capacity of plasma neurofilament light chain for neurodegeneration
Authors: Kim Keun You , Kim Eosu , Lee Jun-Young ,   for the Alzheimer’s Disease Neuroimaging Initiative, Weiner Michael , Aisen Paul , Petersen Ronald , Jack Clifford R. , Jagust William , Trojanowki John Q. , Toga Arthur W. , Beckett Laurel , Green Robert C. , Saykin Andrew J. , Morris John , Shaw Leslie M. , Liu Enchi , Montine Tom , Thomas Ronald G. , Donohue Michael , Walter Sarah , Gessert Devon , Sather Tamie , Jiminez Gus , Harvey Danielle , Donohue Michael , 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 , Beccera 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. , Villanueva Meyer Javier , Chowdhury Munir , Rountree Susan , Dang Mimi , Stern Yaakov , Honig Lawrence S. , Bell Karen L. , Ances Beau , Morris John C. , Carroll Maria , Leon Sue , Householder Erin , Mintun Mark A. , Schneider Stacy , Oliver Angela , Marson Daniel , Griffith Randall , Clark David , Geldmacher David , Brockington John , Roberson Erik , Grossman Hillel , Mitsis Effie , de Toledo-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. , Pogorelec 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 , Smith Charles D. , Jicha Greg , Hardy Peter , Sinha Partha , Oates Elizabeth , Conrad Gary , Lopez Oscar L. , Oakley Mary Ann , Simpson Donna M. , Porsteinsson Anton P. , Goldstein Bonnie S. , Martin Kim , Makino Kelly M. , Ismail M. Saleem , Brand Connie , Mulnard Ruth A. , Thai Gaby , Mc Adams 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 , Graff Radford Neill R. , 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 , Assaly Michele , 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: September 2024

Background

Plasma neurofilament light chain (NfL) is a blood biomarker of neurodegeneration, including Alzheimer’s disease. However, its usefulness may be influenced by common conditions in older adults, including amyloid-β (Aβ) deposition and cardiometabolic risk factors like hypertension, diabetes mellitus (DM), impaired kidney function, and obesity. This longitudinal observational study using the Alzheimer’s Disease Neuroimaging Initiative cohort investigated how these conditions influence the prognostic capacity of plasma NfL.

Methods

Non-demented participants (cognitively unimpaired or mild cognitive impairment) underwent repeated assessments including the Alzheimer’s Disease Assessment Scale-Cognitive subscale (ADAS-Cog) scores, hippocampal volumes, and white matter hyperintensity (WMH) volumes at 6- or 12-month intervals. Linear mixed-effect models were employed to examine the interaction between plasma NfL and various variables of interest, such as Aβ (evaluated using Florbetapir positron emission tomography), hypertension, DM, impaired kidney function, or obesity.

Results

Over a mean follow-up period of 62.5 months, participants with a mean age of 72.1 years (n = 720, 48.8% female) at baseline were observed. Higher plasma NfL levels at baseline were associated with steeper increases in ADAS-Cog scores and WMH volumes, and steeper decreases in hippocampal volumes over time (all p-values < 0.001). Notably, Aβ at baseline significantly enhanced the association between plasma NfL and longitudinal changes in ADAS-Cog scores (p-value 0.005) and hippocampal volumes (p-value 0.004). Regarding ADAS-Cog score and WMH volume, the impact of Aβ was more prominent in cognitively unimpaired than in mild cognitive impairment. Hypertension significantly heightened the association between plasma NfL and longitudinal changes in ADAS-Cog scores, hippocampal volumes, and WMH volumes (all p-values < 0.001). DM influenced the association between plasma NfL and changes in ADAS-Cog scores (p-value < 0.001) without affecting hippocampal and WMH volumes. Impaired kidney function did not significantly alter the association between plasma NfL and longitudinal changes in any outcome variables. Obesity heightened the association between plasma NfL and changes in hippocampal volumes only (p-value 0.026).

Conclusion

This study suggests that the prognostic capacity of plasma NfL may be amplified in individuals with Aβ or hypertension. This finding emphasizes the importance of considering these factors in the NfL-based prognostic model for neurodegeneration in non-demented older adults.