Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease

Japanese Alzheimer’s Disease Neuroimaging Initiative, Australian Imaging, Biomarkers and Lifestyle study

研究成果: Article査読

1 被引用数 (Scopus)

抄録

Understanding Alzheimer’s disease (AD) heterogeneity is important for understanding the underlying pathophysiological mechanisms of AD. However, AD atrophy subtypes may reflect different disease stages or biologically distinct subtypes. Here we use longitudinal magnetic resonance imaging data (891 participants with AD dementia, 305 healthy control participants) from four international cohorts, and longitudinal clustering to estimate differential atrophy trajectories from the age of clinical disease onset. Our findings (in amyloid-β positive AD patients) show five distinct longitudinal patterns of atrophy with different demographical and cognitive characteristics. Some previously reported atrophy subtypes may reflect disease stages rather than distinct subtypes. The heterogeneity in atrophy rates and cognitive decline within the five longitudinal atrophy patterns, potentially expresses a complex combination of protective/risk factors and concomitant non-AD pathologies. By alternating between the cross-sectional and longitudinal understanding of AD subtypes these analyses may allow better understanding of disease heterogeneity.

本文言語English
論文番号4566
ジャーナルNature communications
13
1
DOI
出版ステータスPublished - 12-2022

All Science Journal Classification (ASJC) codes

  • 化学 (全般)
  • 生化学、遺伝学、分子生物学(全般)
  • 一般
  • 物理学および天文学(全般)

フィンガープリント

「Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル