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Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age

Author

Listed:
  • Sarah E. Harris

    (University of Edinburgh
    University of Edinburgh)

  • Simon R. Cox

    (University of Edinburgh
    University of Edinburgh
    Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration)

  • Steven Bell

    (University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway
    The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway
    Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge Neurology Unit, Cambridge Biomedical Campus)

  • Riccardo E. Marioni

    (University of Edinburgh
    The University of Edinburgh, Western General Hospital)

  • Bram P. Prins

    (University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway)

  • Alison Pattie

    (University of Edinburgh)

  • Janie Corley

    (University of Edinburgh
    University of Edinburgh)

  • Susana Muñoz Maniega

    (University of Edinburgh
    The University of Edinburgh, Chancellor’s Building
    UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter)

  • Maria Valdés Hernández

    (University of Edinburgh
    The University of Edinburgh, Chancellor’s Building
    UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter)

  • Zoe Morris

    (The University of Edinburgh, Chancellor’s Building)

  • Sally John

    (Translational Biology, Biogen)

  • Paola G. Bronson

    (Translational Biology, Biogen)

  • Elliot M. Tucker-Drob

    (University of Texas)

  • John M. Starr

    (University of Edinburgh
    University of Edinburgh)

  • Mark E. Bastin

    (University of Edinburgh
    Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration
    The University of Edinburgh, Chancellor’s Building)

  • Joanna M. Wardlaw

    (University of Edinburgh
    Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration
    The University of Edinburgh, Chancellor’s Building
    UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter)

  • Adam S. Butterworth

    (University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway
    The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway)

  • Ian J. Deary

    (University of Edinburgh
    University of Edinburgh)

Abstract

Identifying biological correlates of late life cognitive function is important if we are to ascertain biomarkers for, and develop treatments to help reduce, age-related cognitive decline. Here, we investigated the associations between plasma levels of 90 neurology-related proteins (Olink® Proteomics) and general fluid cognitive ability in the Lothian Birth Cohort 1936 (LBC1936, N = 798), Lothian Birth Cohort 1921 (LBC1921, N = 165), and the INTERVAL BioResource (N = 4451). In the LBC1936, 22 of the proteins were significantly associated with general fluid cognitive ability (β between −0.11 and −0.17). MRI-assessed total brain volume partially mediated the association between 10 of these proteins and general fluid cognitive ability. In an age-matched subsample of INTERVAL, effect sizes for the 22 proteins, although smaller, were all in the same direction as in LBC1936. Plasma levels of a number of neurology-related proteins are associated with general fluid cognitive ability in later life, mediated by brain volume in some cases.

Suggested Citation

  • Sarah E. Harris & Simon R. Cox & Steven Bell & Riccardo E. Marioni & Bram P. Prins & Alison Pattie & Janie Corley & Susana Muñoz Maniega & Maria Valdés Hernández & Zoe Morris & Sally John & Paola G. B, 2020. "Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14161-7
    DOI: 10.1038/s41467-019-14161-7
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    Cited by:

    1. Jia You & Yu Guo & Yi Zhang & Ju-Jiao Kang & Lin-Bo Wang & Jian-Feng Feng & Wei Cheng & Jin-Tai Yu, 2023. "Plasma proteomic profiles predict individual future health risk," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Danni A. Gadd & Robert F. Hillary & Daniel L. McCartney & Liu Shi & Aleks Stolicyn & Neil A. Robertson & Rosie M. Walker & Robert I. McGeachan & Archie Campbell & Shen Xueyi & Miruna C. Barbu & Claire, 2022. "Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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