Blood‐based biomarkers and risk of MCI symptom onset over the short and long‐term

Abstract Background Blood‐based biomarkers of amyloid and tau have been shown to predict AD‐dementia risk. Much less is known about their ability to predict risk of Mild Cognitive Impairment (MCI) among cognitively normal individuals. It is also unclear how AD non‐specific blood markers of neurodegeneration and neuroinflammation predict MCI and whether they add predictive power above and beyond AD biomarkers. The current study examined whether levels of blood biomarkers of amyloid (Ab 42 /Ab 40 ), tau (p‐tau 181 ), neurodegeneration (NfL), and neuroinflammation (GFAP, YKL40, sTREM2) collected when participants were cognitively normal predict the time to onset of MCI, both alone and in combination. Method The plasma assays were based on the NeuroToolKit (cobas Elecsys assays, Roche Diagnostics) and obtained from 271 cognitively unimpaired BIOCARD Study participants at their initial baseline evaluation (mean age=57.5y, including 82 who progressed to MCI/dementia). A second ‘baseline’ specimen (collected using different procedures) was evaluated for a subset of participants who were cognitively normal ∼7 years later (N=202) (mean age = 64.5y), including 31 who later developed MCI/dementia, Table 1). Mean clinical follow‐up was 15.5 years for Baseline 1 and 9.9 years for ‘Baseline 2’. Cox regression models tested the association of biomarker levels with time to MCI symptom onset, separately for both baselines. Results For both baselines, lower levels of Ab 42 /Ab 40 , higher GFAP, and a higher ratio of p‐tau 181 /Ab 42 /Ab 40 were each associated with an earlier time to MCI symptom onset (p’s<=0.034, Table 2). For baseline 2, higher p‐tau 181 (p=0.009) was also associated with earlier MCI symptom onset (p=0.009), and higher NfL was associated with earlier MCI symptom onset for progression within 7 years (p=0.05). When combining biomarkers, Ab 42 /Ab 40 and p‐tau 181 independently predicted progression (p’s <0.03), but neither GFAP nor NFL added predictive value after accounting for Ab 42 /Ab 40 and p‐tau 181 . YKL40 and sTREM2 were not associated with MCI onset in any analyses. Conclusion This indicate that during preclinical AD, more abnormal blood biomarker levels of amyloid (Ab 42 /Ab 40 ), tau (p‐tau 181 ), neurodegeneration (NfL), and neuroinflammation (GFAP) individually predict progression from normal cognition to MCI, but that AD non‐specific neurodegeneration and inflammation do not improve prediction after accounting for amyloid and p‐tau levels.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091476
Citations
1
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.36
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article

Blood‐based biomarkers and risk of MCI symptom onset over the short and long‐term

Anja Soldan, Jiangxia Wang, Marilyn Albert, Kaj Blennow et al.
1 citations
Alzheimer s & Dementia
Pituitary Gland Disorders and Treatments
0.36
article

Blood‐based biomarkers and risk of MCI symptom onset over the short and long‐term

Anja Soldan, Jiangxia Wang, Marilyn Albert, Kaj Blennow, Corinne Pettigrew, Abhay Moghekar, Tobias Bittner
article en
1 citations

Abstract

Abstract Background Blood‐based biomarkers of amyloid and tau have been shown to predict AD‐dementia risk. Much less is known about their ability to predict risk of Mild Cognitive Impairment (MCI) among cognitively normal individuals. It is also unclear how AD non‐specific blood markers of neurodegeneration and neuroinflammation predict MCI and whether they add predictive power above and beyond AD biomarkers. The current study examined whether levels of blood biomarkers of amyloid (Ab 42 /Ab 40 ), tau (p‐tau 181 ), neurodegeneration (NfL), and neuroinflammation (GFAP, YKL40, sTREM2) collected when participants were cognitively normal predict the time to onset of MCI, both alone and in combination. Method The plasma assays were based on the NeuroToolKit (cobas Elecsys assays, Roche Diagnostics) and obtained from 271 cognitively unimpaired BIOCARD Study participants at their initial baseline evaluation (mean age=57.5y, including 82 who progressed to MCI/dementia). A second ‘baseline’ specimen (collected using different procedures) was evaluated for a subset of participants who were cognitively normal ∼7 years later (N=202) (mean age = 64.5y), including 31 who later developed MCI/dementia, Table 1). Mean clinical follow‐up was 15.5 years for Baseline 1 and 9.9 years for ‘Baseline 2’. Cox regression models tested the association of biomarker levels with time to MCI symptom onset, separately for both baselines. Results For both baselines, lower levels of Ab 42 /Ab 40 , higher GFAP, and a higher ratio of p‐tau 181 /Ab 42 /Ab 40 were each associated with an earlier time to MCI symptom onset (p’s<=0.034, Table 2). For baseline 2, higher p‐tau 181 (p=0.009) was also associated with earlier MCI symptom onset (p=0.009), and higher NfL was associated with earlier MCI symptom onset for progression within 7 years (p=0.05). When combining biomarkers, Ab 42 /Ab 40 and p‐tau 181 independently predicted progression (p’s <0.03), but neither GFAP nor NFL added predictive value after accounting for Ab 42 /Ab 40 and p‐tau 181 . YKL40 and sTREM2 were not associated with MCI onset in any analyses. Conclusion This indicate that during preclinical AD, more abnormal blood biomarker levels of amyloid (Ab 42 /Ab 40 ), tau (p‐tau 181 ), neurodegeneration (NfL), and neuroinflammation (GFAP) individually predict progression from normal cognition to MCI, but that AD non‐specific neurodegeneration and inflammation do not improve prediction after accounting for amyloid and p‐tau levels.

Alzheimer s & DementiaVol. 20(S2)
Roche (Switzerland) (CH), Johns Hopkins University (US), Johns Hopkins Medicine (US), University of Gothenburg (SE)
Openalex Percentile: Top 30%
Pituitary Gland Disorders and Treatments
0.36
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