Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases

Karlsson, Linda; Vogel, Jacob; Arvidsson, Ida; Åström, Kalle, et al. (2024-12). Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases. Nature Communications, 15, (1)
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DOI:
| Published | English
Authors:
Karlsson, Linda ; Vogel, Jacob ; Arvidsson, Ida ; Åström, Kalle , et al.
Department:
Clinical Memory Research
LU Profile Area: Proactive Ageing
MultiPark: Multidisciplinary research focused on Parkinson´s disease
SciLifeLab Site@Lund
Computer Vision and Machine Learning
eSSENCE: The e-Science Collaboration
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
LTH Profile Area: AI and Digitalization
LU Profile Area: Natural and Artificial Cognition
Mathematical Imaging Group
LTH Profile Area: Engineering Health
Research Group:
Clinical Memory Research
SciLifeLab Site@Lund
Computer Vision and Machine Learning
Mathematical Imaging Group
Abstract:

Cerebrospinal fluid (CSF) biomarkers reflect brain pathophysiology and are used extensively in translational research as well as in clinical practice for diagnosis of neurological diseases, e.g., Alzheimer’s disease (AD). However, CSF biomarker concentrations may be influenced by non-disease related inter-individual variability. Here we use a data-driven approach to demonstrate the existence of inter-individual variability in mean standardized CSF protein levels. We show that these non-disease related differences cause many commonly reported CSF biomarkers to be highly correlated, thereby producing misleading results if not accounted for. To adjust for this inter-individual variability, we identified and evaluated high-performing reference proteins which improved the diagnostic accuracy of key CSF AD biomarkers. Our reference protein method attenuates the risk for false positive findings, and improves the sensitivity and specificity of CSF biomarkers, with broad implications for both research and clinical practice.

ISSN:
2041-1723
LUP-ID:
ed785bd7-5deb-4714-a6b8-4e4a4f33d9be | Link: https://lup.lub.lu.se/record/ed785bd7-5deb-4714-a6b8-4e4a4f33d9be | Statistics

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