Líffræðifélag Íslands - biologia.is
Líffræðiráðstefnan 2019
Erindi/veggspjald / Talk/poster V38
Höfundar / Authors: Unnur D. Teitsdottir(1), Maria K. Jonsdottir(2,3), Sigrun H. Lund(4), Jon Snaedal(5), Petur H. Petersen(1)
Starfsvettvangur / Affiliations: 1. Faculty of Medicine, Department of Biochemistry and Molecular Biology, Biomedical Center, University of Iceland, Reykjavik, Iceland 2. Department of Psychology, Reykjavik University, Reykjavik, Iceland 3. Department of Psychiatry, Landspitali - National University Hospital, Reykjavik, Iceland 4. deCODE genetics/Amgen, Inc., Reykjavik, Iceland 5. Department of Geriatrics, Landspitali - National University Hospital, Reykjavik, Iceland
Kynnir / Presenter: Petur Henry Petersen
Background: Neuroinflammation has gained increasing attention as a potential contributing factor in
onset and progression of Alzheimer‘s disease (AD). The aim of the study was to examine the association of cerebrospinal fluid (CSF) inflammatory (YKL-40, S100 calcium-binding protein B [S100B], Glial fibrillary acidic protein [GFAP]) and neuronal injury (Neurofilament light [NFL]) markers with signature CSF AD profile and cognitive functions among subjects at the symptomatic pre-/early dementia stage.
Methods: Participants (n=58) were selected from an Icelandic Memory Clinic Cohort, classified as having CSF AD (n=31) or non-AD (n=27) profile based on the ratio between CSF total-tau (T-tau) and amyloid-β1‐42 values (cut-off point 0.52). CSF markers were measured with enzyme-linked immunosorbent assay. Selected neuropsychological tests assessed verbal episodic memory (Rey Auditory-Verbal Learning and Story tests), non-verbal episodic memory (Rey–Osterrieth complex figure test), language (Category fluency-animals) and processing speed (Trail Making Test A, Stroop and Digit symbol substitution tests).
Results: For analyses, CSF markers were both presented as single measures and as ratios (with NFL and T-tau). Ability to accurately discriminate between CSF profiles was calculated with adjustment for age and education. Verbal episodic memory tests performed the best overall (Area under curve [AUC] > 0.70). Performance of S100B, GFAP and NFL was the strongest (AUC=0.68) among CSF markers, although similar to the one when only age and education were included in the model (AUC=0.66). Multiple linear regression models adjusted for age and education were used for assessment of relationships between CSF markers and tests. The NFL/YKL-40 ratio associated significantly with verbal episodic memory tests (p<0.05) while S100B and GFAP associated significantly with one or more processing speed tests (p<0.05) after correcting for multiple comparisons.