| Literature DB >> 31901293 |
Young Ho Park1, Angela Hodges2, Shannon L Risacher3, Kuang Lin2, Jae-Won Jang4, Soyeon Ahn5, SangYun Kim6, Simon Lovestone7, Andrew Simmons2, Michael W Weiner8, Andrew J Saykin9, Kwangsik Nho10.
Abstract
Transcriptomics has become an important tool for identification of biological pathways dysregulated in Alzheimer's disease (AD). We performed a network-based gene expression analysis of blood-based microarray gene expression profiles using 2 independent cohorts, Alzheimer's Disease Neuroimaging Initiative (ADNI; N = 661) and AddNeuroMed (N = 674). Weighted gene coexpression network analysis identified 17 modules from ADNI and 13 from AddNeuroMed. Four of the modules derived in ADNI were significantly related to AD; 5 modules in AddNeuroMed were significant. Gene-set enrichment analysis of the AD-related modules identified and replicated 3 biological pathways including the Fc gamma receptor-mediated phagocytosis pathway. Module-based association analysis showed the AD-related module, which has the 3 pathways, to be associated with cognitive function and neuroimaging biomarkers. Gene-based association analysis identified PRKCD in the Fc gamma receptor-mediated phagocytosis pathway as being significantly associated with cognitive function and cerebrospinal fluid biomarkers. The identification of the Fc gamma receptor-mediated phagocytosis pathway implicates the peripheral innate immune system in the pathophysiology of AD. PRKCD is known to be related to neurodegeneration induced by amyloid-β.Entities:
Keywords: Alzheimer's disease; Coexpression; Network; PRKCD; Phagocytosis; Transcriptome
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Year: 2019 PMID: 31901293 PMCID: PMC7085455 DOI: 10.1016/j.neurobiolaging.2019.12.001
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673