Utility of plasma GFAP as a secondary endpoint for clinical trials in Alzheimer's disease
Aug 1, 2025·,,,,,,,,,,
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Sarah Abbas
Pamela C. L. Ferreira
Bruna Bellaver
Guilherme Povala
Francieli Rohden
Cristiano Schaffer Aguzzoli
Hussein Zalzale
João Pedro Ferrari-Souza
Douglas Teixeira Leffa
Firoza Z. Lussier
Carolina Soares
Guilherme Bauer-Negrini
Markley Silva Oliveira-Junior
Matheus Scarpatto Rodrigues
Pampa Saha
Emma Ruppert
Marina Scop Medeiros
Cécile Tissot
Joseph Therriault
Nesrine Rahmouni
Stijn Servaes
Andréa L. Benedet
Nicholas J. Ashton
Dana L. Tudorascu
Serge Gauthier
Helmet T. Karim
Chang Hyung Hong
Hyun Woong Roh
Eduardo R. Zimmer
Thomas K. Karikari
Henrik Zetterberg
Kaj Blennow
Anum Saeed
Sang Joon Son
Pedro Rosa-Neto
Tharick A. Pascoal
for Alzheimer’s Disease Neuroimaging Initiative
Abstract
BACKGROUND: Clinical trials have recently incorporated plasma glial fibrillary acidic protein (GFAP) as an exploratory endpoint. To include plasma GFAP as a secondary endpoint, it is essential to characterize its longitudinal progression in target populations. OBJECTIVE: To evaluate the potential use of plasma GFAP changes as a secondary endpoint in Alzheimer’s disease trials. METHODS: We longitudinally evaluated plasma GFAP in individuals with amyloid-beta (Aβ)-PET scans at baseline in three well-characterized cohorts. Cox proportional hazards regression tested the association between changes in plasma GFAP and cognitive function. Analysis of the 95 % confidence interval of annualized change in plasma GFAP provided statistical inference for a significant longitudinal change. Effect size was calculated as the group mean divided by the standard deviation (SD). We estimated the sample size needed to test a 25% drug effect with 80% power on reducing changes in GFAP. RESULTS: We assessed 487 individuals [176 cognitively unimpaired (CU; 29% Aβ positive) and 311 cognitively impaired (CI; 51% Aβ positive)] with some degree of cerebrovascular disease (Fazekas 1-3), over a mean (SD) follow-up of 1.84 (0.46) years. Changes in plasma GFAP were significantly associated with worsening in Clinical Dementia Rating sum of boxes (CDR-SB) score across the population (p < 0.0001). In CU, only Aβ positive individuals showed significant changes in GFAP (p < 0.001). On the other hand, both CI Aβ positive and negative individuals showed longitudinal progression in GFAP levels (p < 0.0001). The effect size of changes in plasma GFAP was higher in CU Aβ positive (0.44), followed by CI Aβ positive (0.42) and CI Aβ negative (0.38). Clinical trials focusing on CU Aβ positive would require 1320 individuals per study arm, while focusing on CI Aβ positive would require 1440 individuals per study arm. CONCLUSION: Plasma GFAP increased in parallel with cognitive decline, making it a candidate for monitoring disease progression in trials aimed at mitigating cognitive deterioration. Although Aβ positivity significantly accelerated GFAP progression, the fact that GFAP was increased in CI Aβ negative with cerebrovascular disease supports its potential use as a secondary endpoint in this population as well.
Type
Publication
The Journal of Prevention of Alzheimer’s Disease
Status
Peer-reviewed

Authors
Biomedical Data Scientist
Computational neuroscientist working at the intersection of machine learning, biomedical
imaging, and human genetics in neurodegenerative disease. My work applies deep learning to
high-dimensional medical images, harmonizes imaging measurements across sites and acquisition
protocols, and integrates imaging with genomic, proteomic, and longitudinal clinical data to
characterise Alzheimer’s disease and related dementias, with particular focus on fluid and
imaging biomarkers of neurodegeneration.