1. Data-driven CSF biomarker profiling: imaging and clinical outcomes in a cohort at risk of Alzheimer's disease.
- Author
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Argiris G, Akinci M, Peña-Gómez C, Palpatzis E, Garcia-Prat M, Shekari M, Blennow K, Zetterberg H, Kollmorgen G, Quijano-Rubio C, Ashton NJ, Karikari TK, Brinkmalm-Westman A, Lantero-Rodriguez J, Fauria K, Sánchez-Benavides G, Grau-Rivera O, Suárez-Calvet M, Arenaza-Urquijo EM, and Study FTA
- Subjects
- Humans, Female, Male, Middle Aged, Aged, Cohort Studies, tau Proteins cerebrospinal fluid, Peptide Fragments cerebrospinal fluid, Alzheimer Disease cerebrospinal fluid, Alzheimer Disease diagnostic imaging, Biomarkers cerebrospinal fluid, Amyloid beta-Peptides cerebrospinal fluid, Magnetic Resonance Imaging, Positron-Emission Tomography
- Abstract
Background: Cerebrospinal fluid (CSF) biomarkers of synaptic dysfunction, neuroinflammation, and glial response, complementing Alzheimer's disease (AD) core biomarkers, have improved the pathophysiological characterization of the disease. Here, we tested the hypothesis that the co-expression of multiple CSF biomarkers will help the identification of AD-like phenotypes when biomarker positivity thresholds are not met yet., Methods: Two hundred and seventy cognitively unimpaired adults with family history (FH) of sporadic AD (mean age = 60.6 ± 4.85 years, 64.8% women) underwent lumbar puncture, magnetic resonance imaging (n = 266) and positron emission tomography imaging (n = 239) protocols, and clinical evaluations. CSF Aβ
42 , Aβ40 , p-tau181 , p-tau217, p-tau231, NfL, neurogranin, sTREM2, YKL40, GFAP, S100, α-Synuclein, SYT1, and SNAP25 were measured. Participants were clustered based on CSF biomarker co-expression with an agglomerative algorithm. The predictive value of the classification against brain and cognitive outcomes was evaluated., Results: Three clusters (C) were identified. Higher Aβ burden and CSF p-tau was the hallmark of C1. The other two clusters showed lower Aβ burden but higher expression of glial (C2) or synaptic markers (C3). Participants in C1 showed an AD-like clinical phenotype, comprising participants with the overall highest percentage of two parent FH and APOE-ε4 carriers, in addition to comprising more females compared to C2. C3 displayed better vascular health compared to C1. C2 were older and comprised a lower percentage of females compared to C3. C1 showed an AD-like gray matter reduction in medial temporal (notably hippocampus) and frontal regions that were not observed in Aβ42/40 + compared with Aβ42/40 - . Furthermore, Aβ42/40 - participants in C1 showed GM reduction in inferior temporal areas compared with Aβ42/40 + participants overall. C1 membership also predicted cognitive decline in executive function, but not memory, beyond Aβ + status, overall suggesting a better prognosis in Aβ42/40 + participants without C1 membership. Additionally, C1 displayed a higher rate of conversion to Aβ + (25%) over time., Conclusions: Our results suggest that examining multiple CSF biomarkers reflecting diverse pathological pathways may complement and/or outperform AD core biomarkers and thresholding approaches to identify individuals showing a clinical and cognitive AD-like phenotype, including higher conversion to Aβ + , GM reductions and cognitive decline. The clinical utility of this approach warrants further investigation and replication in other cohorts., Competing Interests: Declarations. Ethics approval and consent to participate: The ALFA + study (ALFA-FPM-0311) was approved by the Independent Ethics Committee “Parc de Salut Mar,” Barcelona, and registered at Clinicaltrials.gov (identifier: NCT02485730) on June 10, 2015. All participants signed the informed consent form that had also been approved by the Independent Ethics Committee “Parc de Salut Mar,” Barcelona. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments and comparable ethical standards. Consent for publication: NA. Competing interests: H.Z. has served at scientific advisory boards and/or as a consultant for Abbvie, Acumen, Alector, Alzinova, ALZPath, Annexon, Apellis, Artery Therapeutics, AZTherapies, Cognito Therapeutics, CogRx, Denali, Eisai, Merry Life, 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 Alzecure, Biogen, Cellectricon, Fujirebio, Lilly, 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). G.K. is a full‑time employee of Roche Diagnostics GmbH. C.Q.-R. is a full‑time employee of Roche Diagnostics International Ltd. O.G-R. has given lectures in symposia sponsored by Roche Diagnostics, and receives support for research (to the institution) from F- Hoffmann La Roche. M.S.-C. has given lectures in symposia sponsored by Roche Diagnostics, S.L.U, Roche Farma, S.A and Amirall. He has served as a consultant and at advisory boards for Roche Diagnostics International Ltd and Grifols S.L. He was granted with a project funded by Roche Diagnostics International Ltd; payments were made to the institution (BBRC). He received in-kind support for research (to the institution) from Roche Diagnostics International Ltd, Avid Radiopharmaceuticals, Inc., Eli Lilly and Janssen Research & Development., (© 2024. The Author(s).)- Published
- 2024
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