Longitudinal cognitive changes in SCD participants in relation to plasma amyloid status and the potential additive effect of plasma ptau181 levels: A CLoCODE study

Abstract Background Subjective cognitive decline (SCD), in the absence of objective cognitive impairment, may be the first symptomatic manifestation of Alzheimer's disease (AD). Previous studies have suggested that its combination with amyloid‐positivity (Aβ+) may represent stage 2 AD, and is associated with a higher risk of future cognitive decline. Here, we aim to (1) confirm this using the plasma Aβ42/40 ratio, and (2) test whether the addition of plasma phospho‐tau181 (ptau 181 , a marker of Aβ and tau pathology) could help refine the prediction of future cognitive decline in SCD patients. Method We included 290 cognitively unimpaired older adults with SCD from two cohorts included in the ongoing Sino‐German CLoCODE collaborative project (49.3% female, 70.80±6.18y): 31 from SILCODE, and 259 from DELCODE. All participants had available baseline plasma biomarkers (Aβ42/40 ratio and ptau 181 using the SIMOA method), and serial assessment of global cognition using a z‐transformed standard composite score over up to 6 years. Linear mixed‐effects models were conducted to confirm the predictive value of plasma Aβ+ for longitudinal cognitive decline in participants with SCD (model 1), and to determine the additive value of plasma ptau 181 levels by examining their interaction (model 2), but also its effect in samples stratified by Aβ+/‐ (models 3). Result In the combined CLoCODE sample, we found a significant interaction between time and Aβ confirming that Aβ+ SCD (42.1% of CLoCODE SCD patients) had a faster cognitive decline than Aβ‐ SCD patients, who showed test‐repetition improvement (p<0.001). This association remained significant when ptau 181 was added to the model (p=0.002). A triple interaction between time, Aβ, and ptau 181 was also found (p<0.001), showing that those with a faster cognitive decline were Aβ+ SCD patients with higher baseline ptau 181 levels (Figure A). This was also confirmed in stratified analyses, where there was a significant interaction between time and ptau 181 levels only in Aβ+ participants (p<0.001; Aβ‐, p=0.72; Figure B). Similar results were obtained in stratified cohort analyses. Conclusion Our findings suggest that plasma biomarkers of AD pathology may help to identify SCD patients who will experience future cognitive decline due to AD, and thus require closer follow‐up.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086729
Citations
1
Primary Topic
Health, Environment, Cognitive Aging
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article
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0.31
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article

Longitudinal cognitive changes in SCD participants in relation to plasma amyloid status and the potential additive effect of plasma ptau181 levels: A CLoCODE study

Emrah Düzel, Jens Wiltfang, Robert Perneczky, Annika Spottke et al.
1 citations
Alzheimer s & Dementia
Health, Environment, Cognitive Aging
0.31
article

Longitudinal cognitive changes in SCD participants in relation to plasma amyloid status and the potential additive effect of plasma ptau181 levels: A CLoCODE study

Emrah Düzel, Jens Wiltfang, Robert Perneczky, Annika Spottke, Oliver Peters, Min Wei, Elizabeth Kuhn, Luca Kleineidam, Ying Han, Michael Wagner, Katharina Büerger, Klaus Fließbach, Josef Priller, Beiqi He, Xueyan Jiang, X. Wang, Ruixian Li, Anja Schneider, Mingkai Zhang, Kai Shao, Xiaochen Hu, Xianfeng Yu, Liang Zhang, Yongzhe Wei, Christoph Laske, Stefan Teipel, Frank Jessen, Jie Yang
article en
1 citations

Abstract

Abstract Background Subjective cognitive decline (SCD), in the absence of objective cognitive impairment, may be the first symptomatic manifestation of Alzheimer's disease (AD). Previous studies have suggested that its combination with amyloid‐positivity (Aβ+) may represent stage 2 AD, and is associated with a higher risk of future cognitive decline. Here, we aim to (1) confirm this using the plasma Aβ42/40 ratio, and (2) test whether the addition of plasma phospho‐tau181 (ptau 181 , a marker of Aβ and tau pathology) could help refine the prediction of future cognitive decline in SCD patients. Method We included 290 cognitively unimpaired older adults with SCD from two cohorts included in the ongoing Sino‐German CLoCODE collaborative project (49.3% female, 70.80±6.18y): 31 from SILCODE, and 259 from DELCODE. All participants had available baseline plasma biomarkers (Aβ42/40 ratio and ptau 181 using the SIMOA method), and serial assessment of global cognition using a z‐transformed standard composite score over up to 6 years. Linear mixed‐effects models were conducted to confirm the predictive value of plasma Aβ+ for longitudinal cognitive decline in participants with SCD (model 1), and to determine the additive value of plasma ptau 181 levels by examining their interaction (model 2), but also its effect in samples stratified by Aβ+/‐ (models 3). Result In the combined CLoCODE sample, we found a significant interaction between time and Aβ confirming that Aβ+ SCD (42.1% of CLoCODE SCD patients) had a faster cognitive decline than Aβ‐ SCD patients, who showed test‐repetition improvement (p<0.001). This association remained significant when ptau 181 was added to the model (p=0.002). A triple interaction between time, Aβ, and ptau 181 was also found (p<0.001), showing that those with a faster cognitive decline were Aβ+ SCD patients with higher baseline ptau 181 levels (Figure A). This was also confirmed in stratified analyses, where there was a significant interaction between time and ptau 181 levels only in Aβ+ participants (p<0.001; Aβ‐, p=0.72; Figure B). Similar results were obtained in stratified cohort analyses. Conclusion Our findings suggest that plasma biomarkers of AD pathology may help to identify SCD patients who will experience future cognitive decline due to AD, and thus require closer follow‐up.

Alzheimer s & DementiaVol. 20(S2)
University of Bonn (DE), University of Cologne (DE), Capital Medical University (CN), Hainan University (CN), German Center for Neurodegenerative Diseases (DE), LMU Klinikum (DE), Humboldt-Universität zu Berlin (DE), National Clinical Research Center for Digestive Diseases (CN), Shenzhen Bay Laboratory (CN), Munich Cluster for Systems Neurology (DE), Chinese Institute for Brain Research (CN), UK Dementia Research Institute (GB), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), Hertie Institute for Clinical Brain Research (DE), State Key Laboratory of Digital Medical Engineering (CN), University of Rostock (DE), University of Aveiro (PT), Technical University of Munich (DE), University of Göttingen (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), Hainan Medical University (CN), Ludwig-Maximilians-Universität München (DE), Otto-von-Guericke-Universität Magdeburg (DE), University of Edinburgh (GB)
Openalex Percentile: Top 34%
Health, Environment, Cognitive Aging
0.31
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