Longitudinal serum S100β and brain aging in the Lothian Birth Cohort 1936.

Cox, S. R. et al. (2018) Longitudinal serum S100β and brain aging in the Lothian Birth Cohort 1936. Neurobiology of Aging, 69, pp. 274-282. (doi: 10.1016/j.neurobiolaging.2018.05.029) (PMID:29933100) (PMCID:PMC6075468)

Abstract

Elevated serum and cerebrospinal fluid concentrations of S100β, a protein predominantly found in glia, are associated with intracranial injury and neurodegeneration, although concentrations are also influenced by several other factors. The longitudinal association between serum S100β concentrations and brain health in nonpathological aging is unknown. In a large group (baseline N = 593; longitudinal N = 414) of community-dwelling older adults at ages 73 and 76 years, we examined cross-sectional and parallel longitudinal changes between serum S100β and brain MRI parameters: white matter hyperintensities, perivascular space visibility, white matter fractional anisotropy and mean diffusivity (MD), global atrophy, and gray matter volume. Using bivariate change score structural equation models, correcting for age, sex, diabetes, and hypertension, higher S100β was cross-sectionally associated with poorer general fractional anisotropy (r = -0.150, p = 0.001), which was strongest in the anterior thalamic (r = -0.155, p < 0.001) and cingulum bundles (r = -0.111, p = 0.005), and survived false discovery rate correction. Longitudinally, there were no significant associations between changes in brain imaging parameters and S100β after false discovery rate correction. These data provide some weak evidence that S100β may be an informative biomarker of brain white matter aging.

• Item Type: Articles
• Additional Information: This research and LBC1936 phenotype collection were supported by Research into Ageing and continues as part of the Disconnected Mind project, funded by Age UK; by the UK Medical Research Council [G0701120, G1001245, MR/M013111/1]. This work was undertaken within The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (www.ccace.ed.ac.uk), part of the cross council Lifelong Health and Wellbeing Initiative [MR/K026992/1], for which funding from the BBSRC and MRC is gratefully acknowledged. This work was partially supported by the Row Fogo Charitable Trust [BRO-D.FID3668413; The Row Fogo Centre for Research into Ageing and the Brain]. Magnetic Resonance Image acquisition and analyses were conducted at the Brain Research Imaging Centre, Neuroimaging Sciences, University of Edinburgh (www.bric.ed.ac.uk) which is part of SINAPSE (Scottish Imaging Network–A Platform for Scientific Excellence) collaboration (www.sinapse.ac.uk) funded by the Scottish Funding Council and the Chief Scientist Office. Funding from the European Union Horizon 2020, PHC-03–15, [project No 666881], “SVDs@Target”, the Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease, [ref no. 16 CVD 05] and the UK Dementia Research Institute at The University of Edinburgh is gratefully acknowledged.
• Keywords: Aging, longitudinal, S100β, small vessel disease, white matter.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Dickie, Dr David Alexander
• Authors: Cox, S. R., Allerhand, M., Ritchie, S. J., Muñoz Maniega, S., Valdés Hernández, M., Harris, S. E., Dickie, D. A., Anblagan, D., Aribisala, B. S., Morris, Z., Sherwood, R., Abbott, N. J., Starr, J. M., Bastin, M. E., Wardlaw, J. M., and Deary, I. J.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: Neurobiology of Aging
• Publisher: Elsevier
• ISSN: 0197-4580
• ISSN (Online): 1558-1497
• Published Online: 31 May 2018
• Copyright Holders: Copyright © 2018 The Authors
• First Published: First published in Neurobiology of Aging 69:274-282
• Publisher Policy: Reproduced under a Creative Commons License