Neuropathology and Applied NeurobiologyNeurosciencePeer-reviewed journal article
A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy
André AltmanniD, Mina RyteniD, Martina Di NunzioiD, Teresa RavizzaiD, Daniele TolomeoiD, Regina Hertfelder ReynoldsiD, Alyma Somani, Marco BacigaluppiiD, Valentina IoriiD, Edoardo MicottiiD, Rossella Di SapiaiD, Milica CeroviciD, Eleonora PalmaiD, Gabriele RuffoloiD, Juan Antonio BotíaiD, Julie AbsiliD, Saud AlhusainiiD, Marina K. M. AlvimiD, Pia Auvinen, Núria BargallóiD, Emanuele BartoliniiD, Benjamin BenderiD, Felipe P. G. BergoiD, Tauana Bernardes LeoniiD, Andrea BernasconiiD, , Annamaria VezzaniiD
Abstract
The common human epilepsies are associated with distinct patterns of reduced cortical thickness, detectable on neuroimaging, with important clinical consequences. To explore underlying mechanisms, we layered MRI-based cortical structural maps from a large-scale epilepsy neuroimaging study onto highly spatially-resolved human brain gene expression data, identifying >2,500 genes overexpressed in regions of reduced cortical thickness, compared to relatively-protected regions. The resulting set of differentially-expressed genes shows enrichment for microglial markers, and in particular, activated microglial states. Parallel analyses of cell-specific eQTLs show enrichment in human genetic signatures of epilepsy severity, but not epilepsy causation. Post mortem brain tissue from humans with epilepsy shows excess activated microglia. In an experimental model, depletion of activated microglia prevents cortical thinning, but not the development of chronic seizures. These convergent data strongly implicate activated microglia in cortical thinning, representing a new dimension for concern and disease modification in the epilepsies, potentially distinct from seizure control.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 61
- FWCI
- 5.89
- Field percentile
- top 3%
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