This analysis assesses biomarkers that distinguish cognitive decline in amyloid-negative individuals, suggesting GFAP's potential utility.
BackgroundDifferentiating subjective cognitive decline (SCD) from mild cognitive impairment (MCI) in amyloid-negative (A-) individuals is clinically relevant for early evaluation along the Alzheimer's disease (AD) pathway.ObjectiveTo assess whether plasma biomarkers discriminate between A-SCD and A-MCI and compare their performance.MethodsWe studied 114 amyloid PET-negative participants (93 A-SCD, 21 A-MCI) aged ≥60 years from multicenter cohorts. Plasma Aβ₄₂/Aβ₄₀ ratio, glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), and phosphorylated tau 181 (pTau181) were measured using Simoa. Associations with MCI were estimated with logistic regression; discrimination was assessed by ROC analysis with AUCs and pairwise AUC comparisons using 1000 bootstrap resamples.ResultsStandardized log (GFAP) was associated with MCI in univariate analysis (OR 2.32; 95% CI 1.35-4.00; p = 0.002) and after adjustment for age and sex (OR 2.45; 1.27-4.74; p = 0.008). GFAP showed moderate discrimination (AUC 0.71; 0.59-0.82), whereas Aβ₄₂/Aβ₄₀, NFL, and pTau181 did not. Pairwise AUC differences favored GFAP over Aβ₄₂/Aβ₄₀ (ΔAUC 0.34; p = 0.020), NFL (0.21; p = 0.032), and pTau181 (0.29; p = 0.005).ConclusionsIn this A- cohort, plasma GFAP was the most informative biomarker for distinguishing MCI from SCD, likely reflecting astrocytic activation. Given modest accuracy and limited disease specificity, GFAP may be most useful as part of a multimodal panel rather than a stand-alone test.
No takes yet. Share an insight, caveat, or question.
Yoon et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: