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Omics-derived biological modules reflect metabolic brain changes in Alzheimer's disease
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DOI：10.1002/alz.14095.png)
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Abstract
En 中文
INTRODUCTION: Brain glucose hypometabolism, indexed by the fluorodeoxyglucose positron emission tomography ([F-18]FDG-PET) imaging, is a metabolic signature of Alzheimer's disease (AD). However, the underlying biological pathways involved in these metabolic changes remain elusive. METHODS: Here, we integrated [F-18]FDG-PET images with blood and hippocampal transcriptomic data from cognitively unimpaired (CU, n = 445) and cognitively impaired (CI, n = 749) individuals using modular dimension reduction techniques and voxel-wise linear regression analysis. RESULTS: Our results showed that multiple transcriptomic modules are associated with brain [F-18]FDG-PET metabolism, with the top hits being a protein serine/threonine kinase activity gene cluster (peak-t((223)) = 4.86, P value < 0.001) and zinc-finger-related regulatory units (peak-t((223)) = 3.90, P value < 0.001). DISCUSSION: By integrating transcriptomics with PET imaging data, we identified that serine/threonine kinase activity-associated genes and zinc-finger-related regulatory units are highly associated with brain metabolic changes in AD.
Keywords:
Alzheimer's disease
fluorodeoxyglucose positron emission tomography
systems biology
transcriptomics
Journal
A
IF:
11.1
Papers:
3.9K
Citations:
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