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. 2023 May 19;5(3):fcad159.
doi: 10.1093/braincomms/fcad159. eCollection 2023.

Cerebrospinal fluid biomarkers for cerebral amyloid angiopathy

Affiliations

Cerebrospinal fluid biomarkers for cerebral amyloid angiopathy

Jochen A Sembill et al. Brain Commun. .

Abstract

Integrating cerebrospinal fluid-biomarkers into diagnostic workup of patients with sporadic cerebral amyloid angiopathy may support early and correct identification. We aimed to identify and validate clinical- and cerebrospinal fluid-biomarkers for in vivo diagnosis of cerebral amyloid angiopathy. This observational cohort study screened 2795 consecutive patients admitted for cognitive complaints to the academic departments of neurology and psychiatry over a 10-year period (2009-2018). We included 372 patients with available hemosiderin-sensitive MR imaging and cerebrospinal fluid-based neurochemical dementia diagnostics, i.e. Aβ40, Aβ42, t-tau, p-tau. We investigated the association of clinical- and cerebrospinal fluid-biomarkers with the MRI-based diagnosis of cerebral amyloid angiopathy, applying confounder-adjusted modelling, receiver operating characteristic and unsupervised cluster analyses. We identified 67 patients with cerebral amyloid angiopathy, 76 patients with Alzheimer's disease, 75 patients with mild cognitive impairment due to Alzheimer's disease, 76 patients with mild cognitive impairment with unlikely Alzheimer's disease and 78 healthy controls. Patients with cerebral amyloid angiopathy showed a specific cerebrospinal fluid pattern: average concentration of Aß40 [13 792 pg/ml (10 081-18 063)] was decreased compared to all controls (P < 0.05); Aß42 [634 pg/ml (492-834)] was comparable to Alzheimer's disease and mild cognitive impairment due to Alzheimer's disease (P = 0.10, P = 0.93) but decreased compared to mild cognitive impairment and healthy controls (both P < 0.001); p-tau [67.3 pg/ml (42.9-91.9)] and t-tau [468 pg/ml (275-698)] were decreased compared to Alzheimer's disease (P < 0.001, P = 0.001) and mild cognitive impairment due to Alzheimer's disease (P = 0.001, P = 0.07), but elevated compared to mild cognitive impairment and healthy controls (both P < 0.001). Multivariate modelling validated independent clinical association of cerebral amyloid angiopathy with older age [odds-ratio: 1.06, 95% confidence interval (1.02-1.10), P < 0.01], prior lobar intracerebral haemorrhage [14.00 (2.64-74.19), P < 0.01], prior ischaemic stroke [3.36 (1.58-7.11), P < 0.01], transient focal neurologic episodes (TFNEs) [4.19 (1.06-16.64), P = 0.04] and gait disturbance [2.82 (1.11-7.15), P = 0.03]. For cerebrospinal fluid-biomarkers per 1 pg/ml, both lower Aß40 [0.9999 (0.9998-1.0000), P < 0.01] and lower Aß42 levels [0.9989 (0.9980-0.9998), P = 0.01] provided an independent association with cerebral amyloid angiopathy controlled for all aforementioned clinical confounders. Both amyloid biomarkers showed good discrimination for diagnosis of cerebral amyloid angiopathy among adjusted receiver operating characteristic analyses (area under the receiver operating characteristic curves, Aß40: 0.80 (0.73-0.86), P < 0.001; Aß42: 0.81 (0.75-0.88), P < 0.001). Unsupervised Euclidian clustering of all cerebrospinal fluid-biomarker-profiles resulted in distinct segregation of cerebral amyloid angiopathy patients from all controls. Together, we demonstrate that a distinctive set of cerebrospinal fluid-biomarkers effectively differentiate cerebral amyloid angiopathy patients from patients with Alzheimer's disease, mild cognitive impairment with or without underlying Alzheimer's disease, and healthy controls. Integrating our findings into a multiparametric approach may facilitate diagnosing cerebral amyloid angiopathy, and may aid clinical decision-making, but warrants future prospective validation.

Keywords: biomarker; cerebral amyloid angiopathy; cerebrospinal fluid; dementia; small vessel disease.

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Conflict of interest statement

M.I.S. reports grants from the Interdisciplinary Center for Clinical Research and Marohn Foundation. P.L. received consultation and/or lecture honoraria from IBL International, Fujirebio Europe, AJ Roboscreen, Biogen, and Roche. J.B.K. received speaker honoraria from Sanofi, Biogen, Bayer, Alexion, Boston Scientific, and BI. The other authors report no conflicts of interest related to the contents of the manuscript.

Figures

Graphical abstract
Graphical abstract
Figure 1
Figure 1
Study flowchart. We screened 2795 consecutive patients with cognitive complaints from the departments of neurology or psychiatry and psychotherapy of the University Hospital Erlangen from 2009 until 2018. There were 372 patients with either CAA, Alzheimer’s disease, MCI due to Alzheimer’s disease, MCI with unlikely Alzheimer’s disease, or without neurological or psychiatric disease primary related to amyloid deposition and normal cognitive tests results (healthy controls), and available MRI and CSF biomarkers eligible for outcome analyses. Abbreviations: CAA, Cerebral amyloid angiopathy; CSF, Cerebrospinal fluid; MCI, Mild cognitive impairment
Figure 2
Figure 2
Violin plots of core cerebrospinal fluid biomarker levels. Graphical inter-group comparison of Aβ40, Aβ42, p-tau and t-tau using violin plots. Abbreviations: Aβ, β-amyloid; CAA, cerebral amyloid angiopathy; HC, healthy controls; MCI, mild cognitive impairment; Alzheimer’s disease-MCI, mild cognitive impairment due to Alzheimer’s disease
Figure 3
Figure 3
Comparison of core cerebrospinal fluid biomarker levels. Comparison of assay-specific differences of means (DoM) with 95% confidence intervals (CI) from crude CSF biomarker levels in relation to HC as a reference. DoM of patients with CAA was compared to all controls by Mann–Whitney U-test. Abbreviations: Aβ, β-amyloid; CAA, cerebral amyloid angiopathy; HC, Healthy controls; MCI, mild cognitive impairment; Alzheimer’s disease-MCI, mild cognitive impairment due to Alzheimer’s disease
Figure 4
Figure 4
Adjusted receiver operating characteristic curves. Receiver operating characteristic (ROC) curves based on multivariable modelling including age, arterial hypertension, diabetes mellitus, prior lobar intracerebral haemorrhage, prior ischaemic stroke, transient focal neurological episodes, gait disturbance, t-tau, and β-amyloid 40 in A or β-amyloid 42 in B. Abbreviations: Aβ, β-amyloid
Figure 5
Figure 5
Heatmap of cerebrospinal fluid biomarker levels analysed by Euclidean clustering. Clustermap of normalized mean predicted CSF values based on Euclidian distance. Mean predicted values were calculated by inclusion of independent associations of clinical biomarkers with the diagnosis of CAA, i.e. age, prior lobar ICH, prior ischaemic stroke, gait disturbance and transient focal neurological episodes. Patients are colour-coded based on the underlying pathological condition and the assay used. Abbreviations: Aβ, β-amyloid; CAA, cerebral amyloid angiopathy; HC, Healthy controls; MCI, mild cognitive impairment; Alzheimer's disease-MCI, mild cognitive impairment due to Alzheimer's disease.

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