Plasma NfL, ptau181 and GFAP as potential biomarkers for neuropsychiatric symptoms and related long‐term outcomes in a memory clinic cohort

Abstract Background Neuropsychiatric symptoms (NPS) are common in older people, may occur early in developing dementia, and have been associated with worse long‐term outcomes. The objectives here were to investigate whether plasma neurofilament light chain (NfL), tau phosphorylated at threonine 181 (ptau181), and glial fibrillary acid protein (GFAP) are associated with a) current NPS, b) future NPS, c) NPS severity change and d) cognitive and functional decline over time. And whether the presence of NPS combined with plasma biomarkers are useful to predict these long‐term outcomes (b‐d). Method 151 participants with normal cognition (n=67) or cognitive impairment (mild cognitive impairment and mild dementia, n=84) were examined in a longitudinal memory clinic study. Plasma NfL, ptau181 and GFAP were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI‐Q) at baseline and follow‐up, while cognitive and functional decline was evaluated trough the Clinical Dementia Rating – sum of boxes (CDR‐SB) score (mean: 22 months). Linear regression and ROC analysis were used to address the associations of interest. Result Cross‐sectionally none of the three plasma biomarkers was associated with NPS after adjusting for age, sex and cognitive impairment. Higher NfL was related to NPS at follow‐up (β = 0.24, 95% CI 0.04‐0.45, p = .022). NfL (β = 0.22, 95% CI 0.00‐0.44, p = .047) and GFAP (β = 0.26, 95% CI 0.05‐0.48, p = .017) were associated with an increase in the NPI‐Q severity at follow‐up. Furthermore, both markers were associated with increase in the CDR‐SB score (NfL: β = 0.29, 95% CI 0.06‐0.52, p = .013; GFAP: β = 0.33, 95% CI 0.11‐0.56, p = .004). Adding NPS and all three plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.75 to 0.84, p = .015) and cognitive decline (AUC 0.87 to 0.95, p = .030) but not the change in the NPI‐Q severity (AUC 0.67 to 0.71, p = .264) over time. Conclusion NfL and GFAP are associated with NPS and related long‐term outcomes. Considering the presence of NPS along with blood‐based biomarkers may improve prediction of clinical progression in memory clinic patients and improve clinical decision making.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092191
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Plasma NfL, ptau181 and GFAP as potential biomarkers for neuropsychiatric symptoms and related long‐term outcomes in a memory clinic cohort

Leonardo Zullo, Julius Popp, Miriam Rabl, Armin von Gunten
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Plasma NfL, ptau181 and GFAP as potential biomarkers for neuropsychiatric symptoms and related long‐term outcomes in a memory clinic cohort

Leonardo Zullo, Julius Popp, Miriam Rabl, Armin von Gunten
article en

Abstract

Abstract Background Neuropsychiatric symptoms (NPS) are common in older people, may occur early in developing dementia, and have been associated with worse long‐term outcomes. The objectives here were to investigate whether plasma neurofilament light chain (NfL), tau phosphorylated at threonine 181 (ptau181), and glial fibrillary acid protein (GFAP) are associated with a) current NPS, b) future NPS, c) NPS severity change and d) cognitive and functional decline over time. And whether the presence of NPS combined with plasma biomarkers are useful to predict these long‐term outcomes (b‐d). Method 151 participants with normal cognition (n=67) or cognitive impairment (mild cognitive impairment and mild dementia, n=84) were examined in a longitudinal memory clinic study. Plasma NfL, ptau181 and GFAP were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI‐Q) at baseline and follow‐up, while cognitive and functional decline was evaluated trough the Clinical Dementia Rating – sum of boxes (CDR‐SB) score (mean: 22 months). Linear regression and ROC analysis were used to address the associations of interest. Result Cross‐sectionally none of the three plasma biomarkers was associated with NPS after adjusting for age, sex and cognitive impairment. Higher NfL was related to NPS at follow‐up (β = 0.24, 95% CI 0.04‐0.45, p = .022). NfL (β = 0.22, 95% CI 0.00‐0.44, p = .047) and GFAP (β = 0.26, 95% CI 0.05‐0.48, p = .017) were associated with an increase in the NPI‐Q severity at follow‐up. Furthermore, both markers were associated with increase in the CDR‐SB score (NfL: β = 0.29, 95% CI 0.06‐0.52, p = .013; GFAP: β = 0.33, 95% CI 0.11‐0.56, p = .004). Adding NPS and all three plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.75 to 0.84, p = .015) and cognitive decline (AUC 0.87 to 0.95, p = .030) but not the change in the NPI‐Q severity (AUC 0.67 to 0.71, p = .264) over time. Conclusion NfL and GFAP are associated with NPS and related long‐term outcomes. Considering the presence of NPS along with blood‐based biomarkers may improve prediction of clinical progression in memory clinic patients and improve clinical decision making.

Alzheimer s & DementiaVol. 20(S2)
University of Zurich (CH), University of Lausanne (CH)
Good health and well-being
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
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