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DOI | 10.1212/WNL.0000000000200148 |
Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis | |
Collij, Lyduine E.; Salvado, Gemma; Wottschel, Viktor; Mastenbroek, Sophie E.; Schoenmakers, Pierre; Heeman, Fiona; Aksman, Leon; Wink, Alle Meije; Berckel, Bart N. M.; van de Flier, Wiesje M.; Scheltens, Philip; Visser, Pieter Jelle; Barkhof, Frederik; Haller, Sven; Domingo Gispert, Juan; Alves, Isadora Lopes | |
通讯作者 | Collij, LE |
来源期刊 | NEUROLOGY
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ISSN | 0028-3878 |
EISSN | 1526-632X |
出版年 | 2022 |
卷号 | 98期号:17页码:E1692-E1703 |
英文摘要 | Background and Objectives beta-amyloid (A beta) staging models assume a single spatial-temporal progression of amyloid accumulation. We assessed evidence for A beta accumulation subtypes by applying the data-driven Subtype and Stage Inference (SuStaIn) model to amyloid-PET data. Methods Amyloid-PET data of 3,010 participants were pooled from 6 cohorts (ALFA+, EMIF-AD, ABIDE, OASIS, and ADNI). Standardized uptake value ratios were calculated for 17 regions. We applied the SuStaIn algorithm to identify consistent subtypes in the pooled dataset based on the cross-validation information criterion and the most probable subtype/stage classification per scan. The effects of demographics and risk factors on subtype assignment were assessed using multinomial logistic regression. Results Participants were mostly cognitively unimpaired (n = 1890 [62.8%]), had a mean age of 68.72 (SD 9.1) years, 42.1% were APOE epsilon 4 carriers, and 51.8% were female. A 1-subtype model recovered the traditional amyloid accumulation trajectory, but SuStaIn identified 3 optimal subtypes, referred to as frontal, parietal, and occipital based on the first regions to show abnormality. Of the 788 (26.2%) with strong subtype assignment (>50% probability), the majority was assigned to frontal (n = 415 [52.5%]), followed by parietal (n = 199 [25.3%]) and occipital subtypes (n = 175 [22.2%]). Significant differences across subtypes included distinct proportions of APOE epsilon 4 carriers (frontal 61.8%, parietal 57.1%, occipital 49.4%), participants with dementia (frontal 19.7%, parietal 19.1%, occipital 31.0%), and lower age for the parietal subtype (frontal/occipital 72.1 years, parietal 69.3 years). Higher amyloid (Centiloid) and CSF p-tau burden was observed for the frontal subtype; parietal and occipital subtypes did not differ. At follow-up, most participants (81.1%) maintained baseline subtype assignment and 25.6% progressed to a later stage. Discussion Whereas a 1-trajectory model recovers the established pattern of amyloid accumulation, SuStaIn determined that 3 subtypes were optimal, showing distinct associations with Alzheimer disease risk factors. Further analyses to determine clinical utility are warranted. |
类型 | Article |
语种 | 英语 |
开放获取类型 | Green Published, hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:000787364300015 |
WOS关键词 | ALZHEIMERS-DISEASE ; PET ; BURDEN |
WOS类目 | Clinical Neurology |
WOS研究方向 | Neurosciences & Neurology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/393866 |
推荐引用方式 GB/T 7714 | Collij, Lyduine E.,Salvado, Gemma,Wottschel, Viktor,et al. Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis[J],2022,98(17):E1692-E1703. |
APA | Collij, Lyduine E..,Salvado, Gemma.,Wottschel, Viktor.,Mastenbroek, Sophie E..,Schoenmakers, Pierre.,...&Alves, Isadora Lopes.(2022).Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis.NEUROLOGY,98(17),E1692-E1703. |
MLA | Collij, Lyduine E.,et al."Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis".NEUROLOGY 98.17(2022):E1692-E1703. |
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