Evaluation of ATN PD Framework and Biofluid Markers to Predict Cognitive Decline in Early Parkinson Disease

帕金森病 疾病 认知功能衰退 队列 神经退行性变 肿瘤科 医学 蒙特利尔认知评估 纵向研究 阿尔茨海默病神经影像学倡议 胃肠病学 阿尔茨海默病 病理 内科学 认知障碍 痴呆
作者
Katheryn A.Q. Cousins,David J. Irwin,Thomas F. Tropea,Emma Rhodes,Jeffrey S. Phillips,Alice Chen‐Plotkin,Michael C. Brumm,Christopher S. Coffey,Ju‐Hee Kang,Tanya Simuni,Tatiana Foroud,Arthur W. Toga,Caroline M. Tanner,Karl Kieburtz,Brit Mollenhauer,Douglas Galasko,Samantha J. Hutten,Daniel Weintraub,Andrew Siderowf,Kenneth Marek,Kathleen L. Poston,Leslie M. Shaw
出处
期刊:Neurology [Lippincott Williams & Wilkins]
卷期号:102 (4) 被引量:4
标识
DOI:10.1212/wnl.0000000000208033
摘要

Background and ObjectivesIn Parkinson disease (PD), Alzheimer disease (AD) copathology is common and clinically relevant. However, the longitudinal progression of AD CSF biomarkers—β-amyloid 1-42 (Aβ42), phosphorylated tau 181 (p-tau181), and total tau (t-tau)—in PD is poorly understood and may be distinct from clinical AD. Moreover, it is unclear whether CSF p-tau181 and serum neurofilament light (NfL) have added prognostic utility in PD, when combined with CSF Aβ42. First, we describe longitudinal trajectories of biofluid markers in PD. Second, we modified the AD β-amyloid/tau/neurodegeneration (ATN) framework for application in PD (ATNPD) using CSF Aβ42 (A), p-tau181 (T), and serum NfL (N) and tested ATNPD prediction of longitudinal cognitive decline in PD.MethodsParticipants were selected from the Parkinson's Progression Markers Initiative cohort, clinically diagnosed with sporadic PD or as controls, and followed up annually for 5 years. Linear mixed-effects models (LMEMs) tested the interaction of diagnosis with longitudinal trajectories of analytes (log transformed, false discovery rate [FDR] corrected). In patients with PD, LMEMs tested how baseline ATNPD status (AD [A+T+N±] vs not) predicted clinical outcomes, including Montreal Cognitive Assessment (MoCA; rank transformed, FDR corrected).ResultsParticipants were 364 patients with PD and 168 controls, with comparable baseline mean (±SD) age (patients with PD = 62 ± 10 years; controls = 61 ± 11 years]; Mann-Whitney Wilcoxon: p = 0.4) and sex distribution (patients with PD = 231 male individuals [63%]; controls = 107 male individuals [64%]; χ2: p = 1). Patients with PD had overall lower CSF p-tau181 (β = −0.16, 95% CI −0.23 to −0.092, p = 2.2e-05) and t-tau than controls (β = −0.13, 95% CI −0.19 to −0.065, p = 4e-04), but not Aβ42 (p = 0.061) or NfL (p = 0.32). Over time, patients with PD had greater increases in serum NfL than controls (β = 0.035, 95% CI 0.022 to 0.048, p = 9.8e-07); slopes of patients with PD did not differ from those of controls for CSF Aβ42 (p = 0.18), p-tau181 (p = 1), or t-tau (p = 0.96). Using ATNPD, PD classified as A+T+N± (n = 32; 9%) had worse cognitive decline on global MoCA (β = −73, 95% CI −110 to −37, p = 0.00077) than all other ATNPD statuses including A+ alone (A+T-N-; n = 75; 21%).DiscussionIn patients with early PD, CSF p-tau181 and t-tau were low compared with those in controls and did not increase over 5 years of follow-up. Our study shows that classification using modified ATNPD (incorporating CSF Aβ42, CSF p-tau181, and serum NfL) can identify biologically relevant subgroups of PD to improve prediction of cognitive decline in early PD.
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