eLifeNeurosciencePeer-reviewed journal article
A microglia clonal inflammatory disorder in Alzheimer's Disease
Rocío VicarioiD, Stamatina FragkogianniiD, Leslie WeberiD, Tomi LazaroviD, Yang HuiD, Samantha Y. HayashiiD, Barbara P. Craddock, Nicholas D. SocciiD, Araitz AlberdiiD, Ann Baako, Oyku Ay, Masato OgishiiD, Estibaliz Lopez-Rodrigo, Rajya L. KappagantulaiD, Agnes J. VialeiD, Christine A. Iacobuzio–DonahueiD, Ting ZhouiD, Richard M. RansohoffiD, Richard Chesworth, Netherlands Brain Bank, Omar Ibrahim Abdel-WahabiD, Bertrand BoissoniD, Olivier ElementoiD, Jean‐Laurent CasanovaiD, W. Todd MilleriD, Frédéric GeissmanniD
Abstract
Somatic genetic heterogeneity resulting from post-zygotic DNA mutations is widespread in human tissues and can cause diseases, however few studies have investigated its role in neurodegenerative processes such as Alzheimers Disease (AD). Here we report the selective enrichment of microglia clones carrying pathogenic variants, that are not present in neuronal, glia/stromal cells, or blood, from patients with AD in comparison to age-matched controls. Notably, microglia-specific AD-associated variants preferentially target the MAPK pathway, including recurrent CBL ring-domain mutations. These variants activate ERK and drive a microglia transcriptional program characterized by a strong neuro-inflammatory response, both in vitro and in patients. Although the natural history of AD-associated microglial clones is difficult to establish in human, microglial expression of a MAPK pathway activating variant was previously shown to cause neurodegeneration in mice, suggesting that AD-associated neuroinflammatory microglial clones may contribute to the neurodegenerative process in patients. One-Sentence SummaryA subset of Alzheimer Disease patients carry mutant microglia somatic clones which promote neuro-inflammation.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 21
- FWCI
- 5.77
- Field percentile
- top 3%
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