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Abstract #3901

Insights into neurodegeneration in Alzheimer’s disease from regional Aβ aggregation, iron level, and gene expression in postmortem human brain

Junye Yao1,2, Zhenghao Li3, Zihan Zhou1,4, Aimin Bao5, Jianhui Zhong6, Hongjiang Wei3, and Hongjian He1,7,8
1Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China, 2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Stanford University Graduate School of Education, Department of Radiology, Standford University, Stanford, CA, United States, 5National Human Brain Bank for Health and Disease, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China, 6Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 7School of Physics, Zhejiang University, Hangzhou, China, 8State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China

Synopsis

Keywords: Alzheimer's Disease, Alzheimer's Disease

Motivation: Quantifying Aβ in patients with Alzheimer's disease poses a challenge due to the colocalization of Aβ accumulation and iron deposition.

Goal(s): Our goal was to simultaneously quantify Aβ and iron in ex-vivo human brains affected by AD.

Approach: We used a novel subvoxel QSM method to measure Aβ and iron levels. The gene transcriptomic profiles were further investigated using PLS and ontological analysis.

Results: Regions with higher diamagnetic and paramagnetic susceptibility were found higher levels of gene expression relating to the protein modification process and metal ion binding, as well as a relative abundance of exCA and glutamatergic neurons.

Impact: The quantification of diamagnetic and paramagnetic susceptibility via APART-QSM can offer valuable insights into regional-specific vulnerabilities in Alzheimer’s disease, particularly those related to Aβ aggregation and iron accumulation. This can aid clinicians to better find therapeutic targets.

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