Nature CommunicationsNeurosciencePeer-reviewed journal article
Translocator protein is a marker of activated microglia in rodent models but not human neurodegenerative diseases
Erik NutmaiD, Nurun Nahar FancyiD, Maria WeinertiD, Stergios TsartsalisiD, Manuel C. Marzin, Robert C. J. Muirhead, Irene N. Falk, Marjolein BreuriD, Joy de Bruin, David Hollaus, Robin Pieterman, Jasper J. AninkiD, David StoryiD, Siddharthan ChandraniD, Jiabin Tang, Maria Chiara TroleseiD, Takashi SaitoiD, Takaomi C. SaidoiD, Katharine WiltshireiD, Paula Beltran-LoboiD, Alexandra E. M. PhillipsiD, Jack Perry AnteliD, Luke M. HealyiD, Marie‐France DorioniD, Dylan A. Galloway, , David R. OweniD
Abstract
Microglial activation plays central roles in neuro-inflammatory and neurodegenerative diseases. Positron emission tomography (PET) targeting 18kDa Translocator Protein (TSPO) is widely used for localising inflammation in vivo, but its quantitative interpretation remains uncertain. We show that TSPO expression increases in activated microglia in mouse brain disease models but does not change in a non-human primate disease model or in common neurodegenerative and neuroinflammatory human diseases. We describe genetic divergence in the TSPO gene promoter, consistent with the hypothesis that the increase in TSPO expression in activated myeloid cells is unique to a subset of species within the Muroidea superfamily of rodents. We show that TSPO is mechanistically linked to classical pro-inflammatory myeloid cell function in rodents but not humans. These data emphasise that TSPO expression in human myeloid cells is related to different phenomena than in mice, and that TSPO PET reflects density of inflammatory cells rather than activation state.
- organism: mouse
- organism: non-human primate
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 194
- FWCI
- 19.93
- Field percentile
- top 1%
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