Depression and anxiety · 2025
Mood Symptoms are Associated With Cognitive Status, Brain Amyloid-Beta Deposition, and Plasma Biomarkers.
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Wang Jingru, Huang Lin, Sun Linfang, Guo Qihao, He Yingzi, Jing Yanping
Аннотация
BACKGROUND: Previous studies have indicated an association between mood symptoms and cognitive decline in the Alzheimer's disease (AD) spectrum. Amyloid-beta (Aβ) deposition in the brain, which is a core pathological characteristic of AD, along with the presence of plasma biomarkers, such as phosphorylated tau protein (p-tau), constitutes an early predictive indicator for AD. We attempted to explore the relationship between mood symptoms and the presence of AD-related plasma biomarkers in patients with brain Aβ deposition.
METHOD: We included 2612 participants aged ≥50 years (707 males; average age 66.98 ± 7.75 years) in this study. We used the Hamilton depression rating scale (HAMD) and Hamilton anxiety rating scale (HAMA) to assess mood symptoms. Cognitive status was categorized into AD, mild cognitive impairment (MCI), subjective cognitive decline (SCD), and normal cognition (NC). We used analysis of covariance (ANCOVA) to compare mood symptoms assessment scores in different cognitive groups after making adjustments for age, gender, and education. Linear regression analysis was used to investigate the association between mood scores and plasma biomarker levels, adjusting for positivity in Aβ PET imaging.
RESULTS: Compared to NC patients, patients with AD exhibited higher levels of depression (mean of 4.72 versus 3.39, p < 0.05), whereas patients with SCD exhibited higher levels of anxiety (mean of 6.28 versus 4.26, p < 0.05). After accounting for brain Aβ deposition and presence of plasma biomarkers, the plasma neurofilament light chain (NFL) levels (B = 0.211, SE = 0.059, p=0.001) were associated with HAMD scores. The plasma p-tau181 levels (B = 1.328, SE = 0.576, p=0.025) were associated with HAMA scores.
CONCLUSION: Plasma biomarkers have significant potential in predicting anxiety and depressive symptoms in individuals with brain Aβ deposition. This can aid the early clinical diagnosis and intervention of AD.
METHOD: We included 2612 participants aged ≥50 years (707 males; average age 66.98 ± 7.75 years) in this study. We used the Hamilton depression rating scale (HAMD) and Hamilton anxiety rating scale (HAMA) to assess mood symptoms. Cognitive status was categorized into AD, mild cognitive impairment (MCI), subjective cognitive decline (SCD), and normal cognition (NC). We used analysis of covariance (ANCOVA) to compare mood symptoms assessment scores in different cognitive groups after making adjustments for age, gender, and education. Linear regression analysis was used to investigate the association between mood scores and plasma biomarker levels, adjusting for positivity in Aβ PET imaging.
RESULTS: Compared to NC patients, patients with AD exhibited higher levels of depression (mean of 4.72 versus 3.39, p < 0.05), whereas patients with SCD exhibited higher levels of anxiety (mean of 6.28 versus 4.26, p < 0.05). After accounting for brain Aβ deposition and presence of plasma biomarkers, the plasma neurofilament light chain (NFL) levels (B = 0.211, SE = 0.059, p=0.001) were associated with HAMD scores. The plasma p-tau181 levels (B = 1.328, SE = 0.576, p=0.025) were associated with HAMA scores.
CONCLUSION: Plasma biomarkers have significant potential in predicting anxiety and depressive symptoms in individuals with brain Aβ deposition. This can aid the early clinical diagnosis and intervention of AD.