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

Karlsson, Linda LU orcid ; Vogel, Jacob LU ; Arvidsson, Ida LU orcid ; Åström, Kalle LU orcid ; Janelidze, Shorena LU ; Blennow, Kaj LU ; Palmqvist, Sebastian LU orcid ; Stomrud, Erik LU orcid ; Mattsson-Carlgren, Niklas LU orcid and Hansson, Oskar LU orcid (2024) In Nature Communications 15(1).
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... (More)

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.

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Please use this url to cite or link to this publication:
@article{ed785bd7-5deb-4714-a6b8-4e4a4f33d9be,
  abstract     = {{<p>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.</p>}},
  author       = {{Karlsson, Linda and Vogel, Jacob and Arvidsson, Ida and Åström, Kalle and Janelidze, Shorena and Blennow, Kaj and Palmqvist, Sebastian and Stomrud, Erik and Mattsson-Carlgren, Niklas and Hansson, Oskar}},
  issn         = {{2041-1723}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Communications}},
  title        = {{Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases}},
  url          = {{http://dx.doi.org/10.1038/s41467-024-47971-5}},
  doi          = {{10.1038/s41467-024-47971-5}},
  volume       = {{15}},
  year         = {{2024}},
}