Blood-based multivariate methylation risk score for cognitive impairment and dementia-Reference-Cited by-同舟云学术

Blood-based multivariate methylation risk score for cognitive impairment and dementia

Published:2023-09-28 Issue: Volume: Page:
ISSN:
Container-title:
language:
Short-container-title:

Author:

Koetsier Jarno^ORCID,Cavill Rachel^ORCID,Reijnders Rick^ORCID,Harvey Joshua^ORCID,Deckers Kay^ORCID,Köhler Sebastian^ORCID,Eijssen Lars^ORCID,Smith Rebecca G.,Smith Adam R.,Burrage Joe^ORCID,Walker Emma M.,Shireby Gemma^ORCID,Hannon Eilis^ORCID,Dempster Emma^ORCID,Frayling Tim,Mill Jonathan^ORCID,Dobricic Valerija^ORCID,Sommerer Yasmine^ORCID,Johannsen Peter^ORCID,Wittig Michael,Franke Andre^ORCID,Vandenberghe Rik^ORCID,Schaeverbeke Jolien^ORCID,Freund-Levi Yvonne^ORCID,Frölich Lutz,Scheltens Philip^ORCID,Teunissen Charlotte^ORCID,Frisoni Giovanni^ORCID,Blin Olivier,Richardson Jill,Bordet Régis^ORCID,Engelborghs Sebastiaan^ORCID,de Roeck Ellen^ORCID,Martinez-Lage Pablo^ORCID,Tainta Mikel^ORCID,Lleó Alberto^ORCID,Sala Isabel^ORCID,Popp Julius^ORCID,Peyratout Gwedoline,Verhey Frans^ORCID,Tsolaki Magda,Andreasson Ulf^ORCID,Blennow Kaj^ORCID,Zetterberg Henrik^ORCID,Streffer Johannes^ORCID,Vos Stephanie J. B.,Lovestone Simon^ORCID,Visser Pieter-Jelle^ORCID,Bertram Lars^ORCID,Lunnon Katie^ORCID,Pishva Ehsan^ORCID

Abstract

ABSTRACTINTRODUCTIONGiven the established association between DNA methylation and the pathophysiology of dementia and its plausible role as a molecular mediator of lifestyle and environment, blood-derived DNA methylation data could enable early detection of dementia risk.METHODSIn conjunction with an extensive array of machine learning techniques, we employed whole blood genome-wide DNA methylation data as a surrogate for 14 modifiable and non-modifiable factors in the assessment of dementia risk in two independent cohorts of Alzheimer’s disease (AD) and Parkinson’s disease (PD).RESULTSWe established a multivariate methylation risk score (MMRS) to identify the status of mild cognitive impairment (MCI) cross-sectionally, independent of age and sex. We further demonstrated significant predictive capability of this score for the prospective onset of cognitive decline in AD and PD.DISCUSSIONOur work shows the potential of employing blood-derived DNA methylation data in the assessment of dementia risk.

Publisher

Cold Spring Harbor Laboratory

Reference75 articles.

1. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

2. Tisher A , Salardini A . A comprehensive update on treatment of dementia. Seminars in neurology: Thieme Medical Publishers; 2019. p. 167–78.

3. Cerebrospinal fluid biomarkers of Alzheimer’s disease: current evidence and future perspectives;Brain Sciences,2021

4. Jo T , Nho K , Saykin AJ . Deep learning in Alzheimer’s disease: diagnostic classification and prognostic prediction using neuroimaging data. Frontiers in aging neuroscience. 2019;11:220.

5. Kim JH , Chang IB , Kim YH , Min CY , Yoo DM , Choi HG . Association Between Various Types or Statuses of Smoking and Subjective Cognitive Decline Based on a Community Health Survey of Korean Adults. Frontiers in neurology. 2022:901.