| Title: |
Biomarkers. |
| Authors: |
García-González, Pablo; Puerta, Raquel; Dehairs, Jonas; de Rojas, Itziar; Montrreal, Laura; Marquié, Marta; Rosende-Roca, Maitee; Emon, Asif; Sáez, María Eugenia; Smets, Bart; Orellana, Adelina; Tárraga, Lluís; Boada, Mercè; Swinnen, Johannes V.; Fernández, Victoria; Socorro, Alfredo Cabrera; Ruiz, Agustin |
| Source: |
ISSN:1552-5260 ; ISSN:1552-5279 ; Alzheimers Dement, vol. 21 Suppl 2 (Suppl 2. |
| Publication Year: |
2025 |
| Subject Terms: |
Humans; Biomarkers; Male; Female; Cognitive Dysfunction; Genome-Wide Association Study; Aged; Proteomics; Alzheimer Disease; Lipidomics; Amyloid beta-Peptides; tau Proteins; Middle Aged; 1103 Clinical Sciences; 1109 Neurosciences; Geriatrics; 3202 Clinical sciences; 3209 Neurosciences; 5202 Biological psychology |
| Description: |
BACKGROUND: Cerebrospinal fluid (CSF) biomarkers are key sources of insight for research and clinical practice in the neurodegeneration field. Here, we used omics data to characterize a physiological source of variability which has a major impact in the concentration of CSF analytes and is rarely accounted for in these studies. METHODS: We studied 1,372 samples from the ACE Alzheimer Center Barcelona memory clinic, including cognitively unimpaired subjects and patients with mild cognitive impairment or dementia. We analysed CSF lipidomics (Lipometrix, 386 species), proteomics (SomaScan 7K, 2395 species), and genomics data (TOPMed-imputed Affymetrix Axiom 815K Array). We estimated the overall concentration (mean standardized values) and principal components (PCs) of the proteomics and lipidomics data independently. Genome-wide associations (GWAs) were performed using PLINK v2.00a3 adjusting by age, sex and population microstructure. Enrichment analysis was conducted using WebGestalt. RESULTS: Mean standardized intensities and the PC1 (explaining 40% and 60% of the CSF lipidomics and proteomics variance, respectively) were highly intercorrelated (Figure 1). Despite independent from disease groups and progression, these metrics were strongly associated with CSF p-tau181 and Aβ42 levels (Figure 2). GWAs revealed that GMNC, previously associated with CSF p-tau levels and lateral ventricular volume, and linked to multicilliated cell differentiation in the choroid plexus, was associated (p |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://lirias.kuleuven.be/handle/20.500.12942/784171; https://doi.org/10.1002/alz70856_099623; https://pubmed.ncbi.nlm.nih.gov/41447255 |
| DOI: |
10.1002/alz70856_099623 |
| Availability: |
https://lirias.kuleuven.be/handle/20.500.12942/784171; https://hdl.handle.net/20.500.12942/784171; https://lirias.kuleuven.be/retrieve/87b9fbd7-68a0-4a1f-9134-4e492c60fdea; https://doi.org/10.1002/alz70856_099623; https://pubmed.ncbi.nlm.nih.gov/41447255 |
| Rights: |
info:eu-repo/semantics/openAccess ; public ; https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.99F7FAD4 |
| Database: |
BASE |