Serial biomarker assessment provided stronger prognostic information than baseline measurements alone in clinically stable patients with chronic HF, and longitudinal increases in circulating amyloid-β peptides associated with cognitive decline, structural brain changes, and mortality.
Abstract
Abstract Introduction Chronic heart failure (HF) is associated with mild cognitive impairment (MCI), vascular dementia, and Alzheimer’s disease. Blood-based neurodegenerative biomarkers may support early risk stratification and outcome prediction in HF. Methods In the prospective Cognition.Matters-HF cohort study, serum neurofilament light chain (NfL), glial fibrillary acidic protein, and phosphorylated tau protein-181, as well as plasma amyloid-β peptides (Aβ38, Aβ40, Aβ42) and β-synuclein, were quantified longitudinally over 36 months using ultrasensitive immunoassays and immunoprecipitation mass spectrometry. Cerebral magnetic resonance imaging and standardized domain-specific cognitive testing were performed. Multivariable logistic regression was used to assess associations with future MCI, brain structural changes, and 5-year all-cause mortality. Results Among 104 patients with chronic HF (10% female, age 64 ± 10 years), all biomarkers except NfL increased significantly over 3 years (P < .05). Median annual percentage changes were 36.6% for phosphorylated tau protein-181, 4.6% for glial fibrillary acidic protein, 2.6% for β-synuclein, 0.6% for Aβ38, 0.5% for Aβ40, and 0.3% for Aβ42. After adjusting for clinical confounders, increases in Aβ38 and Aβ42 independently associated with future MCI, pathological white matter hyperintensity progression (>5% per year), and 5-year mortality (all P < .05). Glial fibrillary acidic protein levels and phosphorylated tau protein-181 trajectories were independently associated with pathological brain atrophy (>0.3% per year). Conclusion In clinically stable patients with chronic HF, longitudinal increases in circulating amyloid-β peptides associated with cognitive decline, structural brain changes, and mortality. Serial biomarker assessment provided stronger prognostic information than baseline measurements alone. Replication in larger cohorts is required.
A stratified approach based on amyloid status is essential for the optimal application of blood-based biomarkers in monitoring disease progression and evaluating therapeutic efficacy in future clinical trials and precision medicine.
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