Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2024 Jun 25;102(12):e209418.
doi: 10.1212/WNL.0000000000209418. Epub 2024 Jun 3.

Association of Plasma Amyloid, P-Tau, GFAP, and NfL With CSF, Clinical, and Cognitive Features in Patients With Dementia With Lewy Bodies

Collaborators, Affiliations
Multicenter Study

Association of Plasma Amyloid, P-Tau, GFAP, and NfL With CSF, Clinical, and Cognitive Features in Patients With Dementia With Lewy Bodies

Katharina Bolsewig et al. Neurology. .

Abstract

Background and objectives: Plasma β-amyloid-1-42/1-40 (Aβ42/40), phosphorylated-tau (P-tau), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) have been widely examined in Alzheimer disease (AD), but little is known about their reflection of copathologies, clinical importance, and predictive value in dementia with Lewy bodies (DLB). We aimed to evaluate associations of these biomarkers with CSF amyloid, cognition, and core features in DLB.

Methods: This cross-sectional multicenter cohort study with prospective component included individuals with DLB, AD, and healthy controls (HCs), recruited from 2002 to 2020 with an annual follow-up of up to 5 years, from the European-Dementia With Lewy Bodies consortium. Plasma biomarkers were measured by single-molecule array (Neurology 4-Plex E kit). Amyloid status was determined by CSF Aβ42 concentrations, and cognition was assessed by Mini-Mental State Examination (MMSE). Biomarker differences across groups, associations with amyloid status, and clinical core features were assessed by analysis of covariance. Associations with cognitive impairment and decline were assessed by linear regression and linear mixed-effects models.

Results: In our cohort consisting of 562 individuals (HC n = 89, DLB n = 342, AD n = 131; 250 women [44.5%], mean [SD] age of 71 [8] years), sex distribution did not differ between groups. Patients with DLB were significantly older, and had less years of education and worse baseline cognition than HC, but not AD. DLB participants stratified for amyloid status differed significantly in plasma Aβ42/40 ratio (decreased in amyloid abnormal: β = -0.008, 95% CI -0.016 to -0.0003, p = 0.01) and P-tau (increased in amyloid abnormal, P-tau181: β = 0.246, 95% CI 0.011-0.481; P-tau231: β = 0.227, 95% CI 0.035-0.419, both p < 0.05), but not in GFAP (β = 0.068, 95% CI -0.018 to 0.153, p = 0.119), and NfL (β = 0.004, 95% CI -0.087 to 0.096, p = 0.923) concentrations. Higher baseline GFAP, NfL, and P-tau concentrations were associated with lower MMSE scores in DLB, and GFAP and NfL were associated with a faster cognitive decline (GFAP: annual change of -2.11 MMSE points, 95% CI -2.88 to -1.35 MMSE points, p < 0.001; NfL: annual change of -2.13 MMSE points, 95% CI -2.97 to -1.29 MMSE points, p < 0.001). DLB participants with parkinsonism had higher concentrations of NfL (β = 0.08, 95% CI 0.02-0.14, p = 0.006) than those without.

Discussion: Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB.

PubMed Disclaimer

Conflict of interest statement

K. Bolsewig, A.A.J.M. van Unnik, E.R. Blujdea, M.C. Gonzales, and N.J. Ashton report no disclosures relevant to the manuscript. D. Aarsland reports receiving research support and/or honoraria from AstraZeneca, H. Lundbeck, Novartis Pharmaceuticals, Biogen, Evonik, Sanofi, Roche, and GE Health and serving as a paid consultant for H. Lundbeck, Eisai, Heptares, and Mentis Cura. H. Zetterberg has served at scientific advisory boards and/or as a consultant for Abbvie, Acumen, Alector, Alzinova, ALZPath, Annexon, Apellis, Artery Therapeutics, AZTherapies, CogRx, Denali, Eisai, Nervgen, Novo Nordisk, Optoceutics, Passage Bio, Pinteon Therapeutics, Prothena, Red Abbey Labs, reMYND, Roche, Samumed, Siemens Healthineers, Triplet Therapeutics, and Wave, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure, Biogen, and Roche, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). A. Padovani reports no disclosures relevant to the manuscript. L. Bonanni reported receiving grants from the European Commission and the Italian Ministry of Health outside the submitted work. B. Mollenhauer reports no disclosures relevant to the manuscript. S. Schade received institutional salaries supported by the EU Horizon 2020 research and innovation program under grant agreement no. 863664 and by the Michael J. Fox Foundation for Parkinson's Research under grant agreement no. MJFF-021923. He is supported by a PPMI Early Stage Investigators Funding Program fellowship of the Michael J. Fox Foundation for Parkinson's Research under grant agreement no. MJFF-022656. R. Vandernberghe's institution has a clinical trial agreement (R. Vandenberghe as PI) with AviadoBio, Biogen, Denali, J&J, NovoNordisk, Prevail, Roche, UCB, Wave. R. Vandenberghe's institution has a consultancy agreement (R. Vandenberghe as a consultant) with ACImmune, Novartis, and Roche. K. Poesen and M.G. Kramberger report no disclosures relevant to the manuscript. C. Paquet reports serving as a member of the international advisory boards for Lilly; serving as a consultant for Fujiribio, Alzohis, Neuroimmune, Ads Neuroscience, Roche, AgenT, and Gilead; being involved as an investigator in several clinical trials for Roche, Eisai, Lilly, Biogen, AstraZeneca, Lundbeck, and Neuroimmune; and being a current member of the national boards of Roche, Lilly, and Biogen. O. Bousiges, B. Cretin, and E.A.J. Willemse report no disclosures relevant to the manuscript. C.E. Teunissen has a collaboration contract with ADx Neurosciences, Quanterix, and Eli Lilly, performed contract research or received grants from AC-Immune, Axon Neurosciences, BioConnect, Bioorchestra, Brainstorm Therapeutics, Celgene, EIP Pharma, Eisai, Fujirebio, Grifols, Instant Nano Biosensors, Merck, Novo Nordisk, PeopleBio, Roche, Siemens, Toyama, and Vivoryon. She is an editor of Alzheimer Research and Therapy, and serves on editorial boards of Medidact Neurologie/Springer, and Neurology: Neuroimmunology & Neuroinflammation. She had speaker contracts for Roche, Grifols, Novo Nordisk. A.W. Lemstra reports no disclosures relevant to the manuscript. Go to Neurology.org/N for full disclosures.

Figures

Figure 1
Figure 1. Overview of Sample Availability, Cohort Selection, and Data Availability Per Diagnostic Group
The diagram depicts number of available samples, exclusion criteria, and number of participants in the final cohort, as well as available data for each diagnostic group.
Figure 2
Figure 2. Plasma Biomarkers Across Diagnostic Groups
Plasma biomarker differences of Aβ42/Aβ40 ratio (A), GFAP (B), NfL (C), P-tau181 (D), and P-tau231 (E) across diagnostic groups. Plasma Aβ42/Aβ40 ratio was significantly higher in patients with DLB and HCs compared with patients with AD. Both plasma P-tau species were significantly higher in DLB compared with HC and significantly lower in DLB and HC compared with AD. Plasma GFAP and NfL concentrations were significantly higher in DLB and AD compared with HC. Plasma biomarker differences were assessed across groups by ANCOVA corrected for age and sex, and subsequent post hoc analysis by the Tukey post hoc test. p Values were adjusted for multiple comparison. *p < 0.05, ***p < 0.001. Aβ = β-amyloid; AD = Alzheimer disease; ANCOVA = analysis of covariance; DLB = dementia with Lewy bodies; GFAP = glial fibrillary acidic protein; HC = healthy control; MMSE = Mini-Mental State Examination; NfL = neurofilament light; P-tau = phosphorylated tau.
Figure 3
Figure 3. Plasma Biomarkers in CSF Aβ42 Abnormal DLB Participants
Plasma biomarkers Aβ42/40 ratio (A), GFAP (B), NfL (C), P-tau181 (D), and P-tau231 (E) in patients with DLB by CSF Aβ42 status (A+: n = 48; A−: n = 53). Plasma Aβ42/40 ratio was significantly lower, and both plasma P-tau species were significantly higher in DLB A+ patients compared with DLB A− patients. Plasma GFAP and NfL concentrations did not differ between A− and A+ patients with DLB. Plasma biomarkers were compared between groups by ANCOVA corrected for age and sex. *p < 0.05. Aβ = β-amyloid; AD = Alzheimer disease; ANCOVA = analysis of covariance; DLB = dementia with Lewy bodies; GFAP = glial fibrillary acidic protein; HC = healthy control; MMSE = Mini-Mental State Examination; NfL = neurofilament light; P-tau = phosphorylated tau.
Figure 4
Figure 4. Associations of Baseline Plasma GFAP and NfL With Cognitive Decline in Patients With Dementia With Lewy Bodies
Association of cognitive decline with baseline plasma GFAP (A) and NfL (B) concentrations. Linear mixed-effects models, corrected for the effect of age and sex, were built to analyze the association of baseline plasma biomarker concentrations with cognitive decline, as measured by MMSE scores over time, for up to 5 years. The line represents the estimated marginal model of decrease in MMSE scores over up to 5 years of follow-up time with different baseline plasma biomarker concentrations. To illustrate the association of different baseline biomarker concentrations with rate of cognitive decline, low and high biomarker concentrations were defined as the first (Q1) and third quartile (Q3), respectively. The transparent areas show 95% CIs around the mean estimated values. AD = Alzheimer disease; GFAP = glial fibrillary acidic protein; HC = healthy control; MMSE = Mini-Mental State Examination; NfL = neurofilament light.

References

    1. Walker Z, Possin KL, Boeve BF, Aarsland D. Lewy body dementias. Lancet. 2015;386(10004):1683-1697. doi:10.1016/S0140-6736(15)00462-6 - DOI - PMC - PubMed
    1. McKeith IG, Boeve BF, Dickson DW, et al. . Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017;89(1):88-100. doi:10.1212/WNL.0000000000004058 - DOI - PMC - PubMed
    1. Giil LM, Aarsland D. Greater variability in cognitive decline in Lewy body dementia compared to Alzheimer's disease. J Alzheimers Dis. 2020;73(4):1321-1330. doi:10.3233/JAD-190731 - DOI - PubMed
    1. Lemstra AW, de Beer MH, Teunissen CE, et al. . Concomitant AD pathology affects clinical manifestation and survival in dementia with Lewy bodies. J Neurol Neurosurg Psychiatry. 2017;88(2):113-118. doi:10.1136/jnnp-2016-313775 - DOI - PubMed
    1. Mueller C, Soysal P, Rongve A, et al. . Survival time and differences between dementia with Lewy bodies and Alzheimer's disease following diagnosis: a meta-analysis of longitudinal studies. Ageing Res Rev. 2019;50:72-80. doi:10.1016/j.arr.2019.01.005 - DOI - PubMed

Publication types

MeSH terms