Relationships of CSF biomarkers to cortical atrophy in early-onset Alzheimer's disease.

Authors

Alexandra Touroutoglou, Yuta Katsumi, Jennifer Hensel, Suzanne E Schindler, Laura Ibanez, Michael Brickhouse, Ani Eloyan, Ryan Eckbo, Alexander Zaitsev, Renaud La Joie, Maryanne Thangarajah, Alexander Taurone, Prashanthi Vemuri, Clifford R Jack, Dustin B Hammers, Tatiana Foroud, Paul Aisen, Laurel Beckett, Robert Koeppe, Walter A Kukull, Arthur Toga, Alireza Atri, David Clark, Gregory S Day, Ranjan Duara, Neill R Graff-Radford, Ian M Grant, Lawrence S Honig, Erik C B Johnson, David T Jones, Joseph C Masdeu, Mario F Mendez, Erik Musiek, Chiadi U Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon Sha, R Scott Turner, Thomas S Wingo, David A Wolk, Kyle Womack, Maria C Carrillo, Gil D Rabinovici, Liana G Apostolova, Jeffrey L Dage, Bradford C Dickerson, Mark C Eldaief, LEADS Consortium

Published in

Alzheimer's & dementia : the journal of the Alzheimer's Association. Volume 22. Issue 7. Pages e71479.

Abstract

Although cerebrospinal fluid (CSF) biomarkers reflect neurodegeneration in Alzheimer's disease (AD), it remains unclear whether these biomarkers track neurodegeneration in early-onset Alzheimer's disease (EOAD).
In 80 EOAD patients, we examined correlations between eight CSF biomarker levels and cortical thickness decreases within the EOAD cortical atrophy signature. Significant correlations were then entered into a multiple regression analysis. We also examined contributions of EOAD atrophy and CSF biomarkers to cognitive impairment.
The levels of four CSF biomarkers correlated to EOAD signature atrophy. Stepwise regression analyses revealed that CSF neurofilament light chain (NfL) levels best predicted EOAD signature atrophy. Multiple regression showed EOAD signature atrophy combined with CSF NfL levels explained more variance in cognitive impairment than either factor alone.
Within EOAD patients, CSF NfL levels relate to the magnitude of cortical atrophy, and a combination of EOAD signature atrophy and CSF NfL levels most robustly predict cognitive impairment.

PMID:
42477860
Bibliographic data and abstract were imported from PubMed on 21 Jul 2026.

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