ATN<sub>PD</sub> to improve detection of concomitant Alzheimer’s pathology in autopsy‐confirmed Parkinson’s disease

Abstract Background In Parkinson’s disease (PD), concomitant Alzheimer’s disease (AD) pathologic change (ADNC) is common and results in altered motor and cognitive phenotypes. However, detection of PD with AD (PD+AD) using biofluid markers is challenging. While decreased cerebrospinal fluid (CSF) β‐amyloid 1‐42 (Aβ 42 ) strongly reflects β‐amyloid burden, PD subjects typically harbor lower CSF phosphorylated tau 181 (p‐tau 181 ) and total tau (t‐tau) levels than healthy controls, which complicates detection of tau tangles and neurodegeneration. We previously tested PD‐specific application of the β‐amyloid/tau/neurodegeneration framework (ATN PD ); combining CSF Aβ 42 , CSF p‐tau 181 , and serum neurofilament light (NfL) in a living PD cohort. ATN PD , using a lower CSF p‐tau 181 cutpoint, predicted cognitive decline. However, ATN PD cutpoints still must be validated against autopsy assessments of ADNC as gold‐standard. Here, we compare biomarker strategies in all available autopsy‐confirmed PD from the Parkinson’s Progression Markers Initiative (PPMI). Methods Eighteen PD participants with autopsy‐confirmed Lewy body disease and antemortem biofluid were available for analysis (Table 1). PD+AD included high/intermediate ADNC (n=9); PD without AD (PD; n=9) included not/low ADNC. Cerebral cortical atrophy determined neurodegeneration (mild/moderate vs. none). CSF was assayed for Aβ 42 (n=14), p‐tau 181 (n=17), and t‐tau (n=17) using Roche cobas e 601; p‐tau 181 /Aβ 42 and t‐tau 181 /Aβ 42 ratios were calculated. Serum NfL was assayed using Simoa Quanterix (n=18). Biofluid measurements closest to autopsy were selected. Receiver operating characteristic (ROC) analyses with bootstrapping tested discrimination of PD+AD from PD using CSF biomarkers, and of neurodegeneration from not using CSF t‐tau and serum NfL. Results ROC cutpoints for CSF Aβ 42 , p‐tau 181 , and serum NfL were equivalent to ATN PD cutpoints, while p‐tau 181 and t‐tau were lower than published AD‐cutpoints (Table 2). CSF p‐tau 181 /Aβ 42 , t‐tau 181 /Aβ 42 , Aβ 42 and serum NfL had high area under the curve (AUC&gt;0.80; Table 2A,2B). In contrast, CSF p‐tau 181 and t‐tau demonstrated poor discrimination (Table 2A) and no difference between groups (Table 1), potentially due in part to low sample size. A chi‐square test confirmed classification is improved using ATN PD and AD‐cutpoints (χ 2 =14, p=0.0015; Figure 1). Conclusions PD‐specific biomarker strategies/cutpoints are needed to maximize detection of concomitant ADNC, but must be validated in larger autopsy cohorts.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091273
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

ATNPD to improve detection of concomitant Alzheimer’s pathology in autopsy‐confirmed Parkinson’s disease

Ece Bayram, Ken‐Pin Hwang, Katheryn A Q Cousins, David G. Coughlin et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

ATNPD to improve detection of concomitant Alzheimer’s pathology in autopsy‐confirmed Parkinson’s disease

Ece Bayram, Ken‐Pin Hwang, Katheryn A Q Cousins, David G. Coughlin, Douglas R Galasko, David J. Irwin, Yi‐Ju Li
article en

Abstract

Abstract Background In Parkinson’s disease (PD), concomitant Alzheimer’s disease (AD) pathologic change (ADNC) is common and results in altered motor and cognitive phenotypes. However, detection of PD with AD (PD+AD) using biofluid markers is challenging. While decreased cerebrospinal fluid (CSF) β‐amyloid 1‐42 (Aβ 42 ) strongly reflects β‐amyloid burden, PD subjects typically harbor lower CSF phosphorylated tau 181 (p‐tau 181 ) and total tau (t‐tau) levels than healthy controls, which complicates detection of tau tangles and neurodegeneration. We previously tested PD‐specific application of the β‐amyloid/tau/neurodegeneration framework (ATN PD ); combining CSF Aβ 42 , CSF p‐tau 181 , and serum neurofilament light (NfL) in a living PD cohort. ATN PD , using a lower CSF p‐tau 181 cutpoint, predicted cognitive decline. However, ATN PD cutpoints still must be validated against autopsy assessments of ADNC as gold‐standard. Here, we compare biomarker strategies in all available autopsy‐confirmed PD from the Parkinson’s Progression Markers Initiative (PPMI). Methods Eighteen PD participants with autopsy‐confirmed Lewy body disease and antemortem biofluid were available for analysis (Table 1). PD+AD included high/intermediate ADNC (n=9); PD without AD (PD; n=9) included not/low ADNC. Cerebral cortical atrophy determined neurodegeneration (mild/moderate vs. none). CSF was assayed for Aβ 42 (n=14), p‐tau 181 (n=17), and t‐tau (n=17) using Roche cobas e 601; p‐tau 181 /Aβ 42 and t‐tau 181 /Aβ 42 ratios were calculated. Serum NfL was assayed using Simoa Quanterix (n=18). Biofluid measurements closest to autopsy were selected. Receiver operating characteristic (ROC) analyses with bootstrapping tested discrimination of PD+AD from PD using CSF biomarkers, and of neurodegeneration from not using CSF t‐tau and serum NfL. Results ROC cutpoints for CSF Aβ 42 , p‐tau 181 , and serum NfL were equivalent to ATN PD cutpoints, while p‐tau 181 and t‐tau were lower than published AD‐cutpoints (Table 2). CSF p‐tau 181 /Aβ 42 , t‐tau 181 /Aβ 42 , Aβ 42 and serum NfL had high area under the curve (AUC&gt;0.80; Table 2A,2B). In contrast, CSF p‐tau 181 and t‐tau demonstrated poor discrimination (Table 2A) and no difference between groups (Table 1), potentially due in part to low sample size. A chi‐square test confirmed classification is improved using ATN PD and AD‐cutpoints (χ 2 =14, p=0.0015; Figure 1). Conclusions PD‐specific biomarker strategies/cutpoints are needed to maximize detection of concomitant ADNC, but must be validated in larger autopsy cohorts.

Alzheimer s & DementiaVol. 20(S2)
University of California San Diego (US), VA Long Beach Healthcare System (US), University of Pennsylvania (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
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