Lipopolysaccharide distinctively alters human microglia transcriptomes to resemble microglia from Alzheimer's disease mouse models.
Jimena Monzón-SandovalElena BurlacuDevika AgarwalAdam E HandelLiting WeiJohn DavisSally A CowleyM Zameel CaderCaleb WebberPublished in: Disease models & mechanisms (2022)
Alzheimer's disease (AD) is the most common form of dementia, and risk-influencing genetics implicates microglia and neuroimmunity in the pathogenesis of AD. Induced pluripotent stem cell (iPSC)-derived microglia (iPSC-microglia) are increasingly used as a model of AD, but the relevance of historical immune stimuli to model AD is unclear. We performed a detailed cross-comparison over time on the effects of combinatory stimulation of iPSC-microglia, and in particular their relevance to AD. We used single-cell RNA sequencing to measure the transcriptional response of iPSC-microglia after 24 h and 48 h of stimulation with prostaglandin E2 (PGE2) or lipopolysaccharide (LPS)+interferon gamma (IFN-γ), either alone or in combination with ATPγS. We observed a shared core transcriptional response of iPSC-microglia to ATPγS and to LPS+IFN-γ, suggestive of a convergent mechanism of action. Across all conditions, we observed a significant overlap, although directional inconsistency to genes that change their expression levels in human microglia from AD patients. Using a data-led approach, we identify a common axis of transcriptomic change across AD genetic mouse models of microglia and show that only LPS provokes a transcriptional response along this axis in mouse microglia and LPS+IFN-γ in human iPSC-microglia. This article has an associated First Person interview with the first author of the paper.
Keyphrases
- inflammatory response
- neuropathic pain
- induced pluripotent stem cells
- single cell
- lps induced
- toll like receptor
- stem cells
- endothelial cells
- mouse model
- gene expression
- immune response
- spinal cord injury
- dendritic cells
- end stage renal disease
- transcription factor
- poor prognosis
- spinal cord
- newly diagnosed
- chronic kidney disease
- genome wide
- deep learning
- oxidative stress
- bone marrow
- binding protein
- cognitive impairment
- high glucose