The correlation between inflammatory biomarkers and polygenic risk score in Alzheimer's Disease

Morgan, Angharad, Touchard, Samuel, O'Hagan, Caroline, Sims, Rebecca ORCID: https://orcid.org/0000-0002-3885-1199, Majounie, Elisa ORCID: https://orcid.org/0000-0003-2800-1091, Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483, Jones, Lesley ORCID: https://orcid.org/0000-0002-3007-4612, Williams, Julie ORCID: https://orcid.org/0000-0002-4069-0259 and Morgan, Bryan ORCID: https://orcid.org/0000-0003-4075-7676 2017. The correlation between inflammatory biomarkers and polygenic risk score in Alzheimer's Disease. Journal of Alzheimer's Disease 56 (1) , pp. 25-36. 10.3233/JAD-160889

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Abstract

Plasma biomarkers to aid the early diagnosis of Alzheimer’s disease (AD) or to monitor disease progression have long been sought and continue to be widely studied. Biomarkers that correlate with AD polygenic risk score, a measure of the polygenic architecture of the disease and highly predictive of AD status, would be excellent candidates. Therefore, we undertook a preliminary study to assess the association of plasma inflammatory biomarkers with an overall AD polygenic risk score as well as with an inflammation-specific AD polygenic risk score in a sample set of 93 AD cases. We measured five complement biomarkers [complement receptor 1 (CR1), clusterin, complement component 9 (C9), C1 inhibitor (C1inh), terminal complement complex (TCC)] and the benchmark inflammatory marker C-reactive protein (CRP). Plasma clusterin level showed an association with overall AD polygenic risk score, while clusterin, C1inh, and CRP levels each displayed some association with the inflammatory-specific AD polygenic risk score. The results suggest that elevated plasma levels of inflammatory biomarkers, including complement proteins, associate with polygenic risk scores in AD, further strengthening the link between genetic and biomarker disease predictors and indicating a potential role for these markers in disease prediction and patient stratification in AD.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Systems Immunity Research Institute (SIURI)
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	Alzheimer's disease, inflammation, complement, biomarker, polygenic risk score
Publisher:	IOS Press
ISSN:	1387-2877
Funders:	Wellcome Trust
Date of First Compliant Deposit:	24 January 2018
Date of Acceptance:	12 October 2016
Last Modified:	05 Nov 2024 22:00
URI:	https://orca.cardiff.ac.uk/id/eprint/95101

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