Cell SystemsNeurosciencePeer-reviewed journal article
Indigenous gut microbes modulate neural cell state and neurodegenerative disease susceptibility
Lisa Blackmer‐RaynoldsiD, Lyndsey D. Lipson, Anna Kozlov, Aimee Yang, Emily J. Hill, Maureen McGuirk SampsoniD, Adam M. HamiltoniD, Isabel FraccaroliiD, Sean D. KellyiD, Pankaj ChopraiD, Jianjun ChangiD, Steven A. SloaniD, Timothy Robert SampsoniD
Abstract
The native microbiome influences a plethora of host processes, including neurological function. However, its impacts on diverse brain cell types remains poorly understood. Here, we performed single nucleus RNA sequencing on hippocampi from wildtype, germ-free mice and reveal the microbiome-dependent transcriptional landscape across all major neural cell types. We found conserved impacts on key adaptive immune and neurodegenerative transcriptional pathways, underscoring the microbiomes contributions to disease-relevant processes. Mono-colonization with select indigenous microbes identified species-specific effects on the transcriptional state of brain myeloid cells. Colonization by Escherichia coli induced a distinct adaptive immune and neurogenerative disease-associated cell state, suggesting increased disease susceptibility. Indeed, E. coli exposure in the 5xFAD mouse model resulted in exacerbated cognitive decline and amyloid pathology, demonstrating its sufficiency to worsen Alzheimers disease-relevant outcomes. Together, these results emphasize the broad, species-specific, microbiome-dependent consequences on neurological transcriptional state and highlight the capacity of specific microbes to modulate disease susceptibility. HighlightsO_LIThe microbiome impacts the transcriptional landscape of all major brain cell types. C_LIO_LIDiscrete microbes specifically modulate resident myeloid cell status. C_LIO_LIGut E. coli triggers dynamic transcriptional responses across neural cell types. C_LIO_LIExposure to E. coli exacerbates behavioral and cellular pathologies in 5xFAD mice. C_LI
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 4
- FWCI
- 6.20
- Field percentile
- top 4%
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