Cerebrospinal Fluid C1-Esterase Inhibitor and Tie-1 Levels Affect Cognitive Performance: Evidence from Proteome-Wide Mendelian Randomization

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Objective: The association of cerebrospinal fluid (CSF) protein levels with cognitive function in the general population remains largely unexplored. We performed Mendelian randomization (MR) analyses to query which CSF proteins may have potential causal effects on cognitive performance. Methods and analysis: Genetic associations with CSF proteins were obtained from a genome-wide association study conducted in up to 835 European-ancestry individuals and for cognitive performance from a meta-analysis of GWAS including 257,841 European-ancestry individuals. We performed Mendelian randomization (MR) analyses to test the effect of randomly allocated variation in 154 genetically predicted CSF protein levels on cognitive performance. Findings were validated by performing colocalization analyses and considering cognition-related phenotypes. Results: Genetically predicted C1-esterase inhibitor levels in the CSF were associated with a better cognitive performance (SD units of cognitive performance per 1 log-relative fluorescence unit (RFU): 0.23, 95% confidence interval: 0.12 to 0.35, p = 7.91 × 10−5), while tyrosine-protein kinase receptor Tie-1 (sTie-1) levels were associated with a worse cognitive performance (−0.43, −0.62 to −0.23, p = 2.08 × 10−5). These findings were supported by colocalization analyses and by concordant effects on distinct cognition-related and brain-volume measures. Conclusions: Human genetics supports a role for the C1-esterase inhibitor and sTie-1 in cognitive performance.
Keywords: CSF; cognition; tyrosine-protein kinase receptor; SERPING1; TIE1
OriginalsprogEngelsk
Artikelnummer71
TidsskriftGenes
Vol/bind15
Udgave nummer1
Antal sider12
ISSN2073-4425
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This work is supported by the UK Dementia Research Institute at Imperial College, which receives its funding from UK Dementia Research Institute Ltd., funded by the UK Medical Research Council (MRC), Alzheimer’s Society, and Alzheimer’s Research UK. HTC is supported by the Novo Nordic Foundation Challenge Programme: Harnessing the Power of Big Data to Address the Societal Challenge of Aging (NNF17OC0027812). A.D. is funded by a Wellcome Trust seed award (206046/Z/17/Z).

Publisher Copyright:
© 2024 by the authors.

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