Improving detection of concomitant Alzheimer’s disease pathology in autopsied Lewy body disorders using CSF biomarkers

Abstract Background While the cerebrospinal fluid (CSF) biomarkers β‐amyloid 1‐42 (Aβ 42 ), β‐amyloid 1‐40 (Aβ 40 ), total tau (t‐tau), and phosphorylated tau 181 (p‐tau 181 ) can detect Alzheimer’s disease (AD) pathology during life, there is a need to evaluate CSF cutpoints for specific application in Lewy body spectrum disorders (LBSD) in order to maximize detection to AD co‐pathology. Using the Fujirebio LUMIPULSE G, we developed LBSD‐derived cutpoints for CSF biomarkers and their ratios (Aβ 42 /Aβ 40 , p‐tau 181 /Aβ 42 , t‐tau/Aβ 42 ) to determine which best discriminates αSyn with AD (αSyn+AD) from αSyn without (αSyn). We compared our LBSD‐derived cutpoints to the established AD‐derived cutpoints. Method Participants were neuropathology‐confirmed LBSD, with (αSyn+AD; n=24) or without AD co‐pathology (αSyn; n=26). Amnestic AD without αSyn were included as a reference group (n=11). Receiver operating characteristic (ROC) and area under the curve (AUC) tested how accurately biomarkers discriminated between αSyn+AD and αSyn. Optimal cutpoints were identified by Youden's Index using bootstrapping (2000 iterations). Sensitivity, specificity, and accuracy were calculated at best cutpoints. Confidence intervals (95%CI) tested for differences between empirically‐defined LBSD‐specific cutpoints and previously established AD‐derived cutpoints. Chi‐square tests compared classification accuracy between LBSD‐ and AD‐derived cutpoints. Survival analyses tested if biomarker status predicted time to death. Result Discriminating between αSyn and αSyn+AD, the CSF Aβ 42 /Aβ 40 ratio had the highest accuracy (0.90), followed by p‐tau 181 /Aβ 42 ratio (0.87). We found that LBSD‐derived cutpoints were higher than established AD‐derived cutpoints for CSF Aβ 42 /Aβ 40 ratio (0.080 [95%CI=0.069 – 0.089] vs. 0.058 pg/mL), and lower for CSF p‐tau 181 (32.7 [95%CI=26.84 – 38.76] vs. 50.2 pg/mL) and t‐tau (227 [95%CI=203.51‐ 278.66] vs. 409 pg/mL). Furthermore, LBSD‐derived cutpoints identified individuals with AD co‐pathology more accurately than the AD‐derived cutpoints for CSF Aβ 42 /Aβ 40 (X 2 = 23.26, P<0.001), p‐tau 181 (X 2 =22.82, P<0.001) and t‐tau (X 2 = 15.09, P<0.001). Survival analysis show that AD‐positive individuals identified by the LBSD‐derived CSF Aβ 42 /Aβ 40 ratio cutpoint associate with earlier death (HR = 2.98, 95%CI = 0.41 – 1.77, P = 0.0017). Conclusion This study helps to establish AD CSF biomarkers for specific application in LBSD using the Fuijirebio LUMIPULSE G platform to maximize detection of AD co‐pathology. Validation in an independent cohort is needed.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089913
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Improving detection of concomitant Alzheimer’s disease pathology in autopsied Lewy body disorders using CSF biomarkers

Katheryn A Q Cousins, Thomas Francis Tropea, Isabela Albuja, David A. Wolk et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Improving detection of concomitant Alzheimer’s disease pathology in autopsied Lewy body disorders using CSF biomarkers

Katheryn A Q Cousins, Thomas Francis Tropea, Isabela Albuja, David A. Wolk, Eddie B Lee, Alice Chen‐Plotkin, David J. Irwin, Leslie M. Shaw
article en

Abstract

Abstract Background While the cerebrospinal fluid (CSF) biomarkers β‐amyloid 1‐42 (Aβ 42 ), β‐amyloid 1‐40 (Aβ 40 ), total tau (t‐tau), and phosphorylated tau 181 (p‐tau 181 ) can detect Alzheimer’s disease (AD) pathology during life, there is a need to evaluate CSF cutpoints for specific application in Lewy body spectrum disorders (LBSD) in order to maximize detection to AD co‐pathology. Using the Fujirebio LUMIPULSE G, we developed LBSD‐derived cutpoints for CSF biomarkers and their ratios (Aβ 42 /Aβ 40 , p‐tau 181 /Aβ 42 , t‐tau/Aβ 42 ) to determine which best discriminates αSyn with AD (αSyn+AD) from αSyn without (αSyn). We compared our LBSD‐derived cutpoints to the established AD‐derived cutpoints. Method Participants were neuropathology‐confirmed LBSD, with (αSyn+AD; n=24) or without AD co‐pathology (αSyn; n=26). Amnestic AD without αSyn were included as a reference group (n=11). Receiver operating characteristic (ROC) and area under the curve (AUC) tested how accurately biomarkers discriminated between αSyn+AD and αSyn. Optimal cutpoints were identified by Youden's Index using bootstrapping (2000 iterations). Sensitivity, specificity, and accuracy were calculated at best cutpoints. Confidence intervals (95%CI) tested for differences between empirically‐defined LBSD‐specific cutpoints and previously established AD‐derived cutpoints. Chi‐square tests compared classification accuracy between LBSD‐ and AD‐derived cutpoints. Survival analyses tested if biomarker status predicted time to death. Result Discriminating between αSyn and αSyn+AD, the CSF Aβ 42 /Aβ 40 ratio had the highest accuracy (0.90), followed by p‐tau 181 /Aβ 42 ratio (0.87). We found that LBSD‐derived cutpoints were higher than established AD‐derived cutpoints for CSF Aβ 42 /Aβ 40 ratio (0.080 [95%CI=0.069 – 0.089] vs. 0.058 pg/mL), and lower for CSF p‐tau 181 (32.7 [95%CI=26.84 – 38.76] vs. 50.2 pg/mL) and t‐tau (227 [95%CI=203.51‐ 278.66] vs. 409 pg/mL). Furthermore, LBSD‐derived cutpoints identified individuals with AD co‐pathology more accurately than the AD‐derived cutpoints for CSF Aβ 42 /Aβ 40 (X 2 = 23.26, P<0.001), p‐tau 181 (X 2 =22.82, P<0.001) and t‐tau (X 2 = 15.09, P<0.001). Survival analysis show that AD‐positive individuals identified by the LBSD‐derived CSF Aβ 42 /Aβ 40 ratio cutpoint associate with earlier death (HR = 2.98, 95%CI = 0.41 – 1.77, P = 0.0017). Conclusion This study helps to establish AD CSF biomarkers for specific application in LBSD using the Fuijirebio LUMIPULSE G platform to maximize detection of AD co‐pathology. Validation in an independent cohort is needed.

Alzheimer s & DementiaVol. 20(S2)
University of Pennsylvania (US)
Reduced inequalities
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
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