bioRxivNeurosciencePreprint
Tracking the progression of Alzheimer's disease with peripheral blood monocytes
Viktoriia BavykinaiD, Mariano AvinoiD, Mohammed Amir HusainiD, Adrien Zimmer, Hugo Parent-RobergeiD, Abdelouahed KhaliliD, Marie A. BrunetiD, Tamàs FülöpiD, Benoît LaurentiD
Abstract
BackgroundAlzheimers disease (AD) is the most common form of dementia with the symptoms gradually worsening over the years. However, the driving pathological processes occur well before the appearance of symptoms. AD patients display signs of systemic inflammation, suggesting that it could precede the well-established AD hallmarks. We recently showed that the innate immune response in the form of monocyte activation is detectable at the pre-clinical stage. ObjectivesOur goal here is to characterize changes of gene expression in peripheral blood monocytes from patients at different stages of AD progression and validate potential biomarkers for a better prognosis and diagnosis of AD clinical spectrum. ResultsWe performed a whole transcriptome analysis on monocytes purified from healthy subjects, Mild Cognitive Impairment (MCI) and AD patients, and established the list of genes differentially expressed in monocytes during the disease evolution. We observed that, in the top 500 genes differentially expressed, a majority of these genes were upregulated (65%) during AD progression. These genes are mainly involved in chemokine/cytokine-mediated signaling pathways. We further confirmed several biomarkers by quantitative PCR and immunoblotting and showed that they are often deregulated at pre-clinical stages of the disease (MCI stage), supporting the hyperactivation of monocytes in MCI patients. PerspectivesOur findings provide evidence that the pre-clinical stage of AD can be detected in monocytes using a specific set of biomarkers, highlighting the importance to study the early innate immune response in AD. Our results open the possibility to use these biomarkers with different diagnostic methodologies to better predict and efficiently treat AD.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
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