The FASEB JournalGenomicsPeer-reviewed journal article
Association between Apolipoprotein E genotype and the gut microbiome composition in humans and mice
Tam T. T. TraniD, Simone CorsiniiD, Lee KellingrayiD, Claire Hegarty, Gwénaëlle Le GalliD, Arjan NarbadiD, Michael M. MülleriD, Noemı́ TejeraiD, Paul William O’TooleiD, Anne Marie MinihaneiD, David VauzouriD
Abstract
Apolipoprotein E (APOE) genotype is the strongest prevalent genetic risk factor for Alzheimers disease. Numerous studies have provided insights into the pathological mechanisms. However, a comprehensive understanding of the impact of APOE genotype on microflora speciation and metabolism is completely lacking. The aim of this study was to investigate the association between APOE genotype and the gut microbiome composition in human and APOE-targeted replacement (TR, APOE3 and APOE4) transgenic mice. Faecal microbiota amplicon sequencing from matched individuals with different APOE genotypes revealed no significant differences in overall microbiota diversity (alpha or beta diversity) in group-aggregated human APOE genotypes. However, several bacterial taxa showed significantly different relative abundance between APOE genotypes. Notably, we detected an association of Prevotellaceae and Ruminococcaceae and several butyrate-producing genera abundances with APOE genotypes. These findings were confirmed by comparing the gut microbiota of APOE-TR mice. Furthermore, metabolomic analysis of faecal water from murine samples detected significant differences in microbe-associated amino acids and short-chain fatty acids between APOE genotypes. Together, the findings indicate that APOE genotype associated with specific gut microbiome profiles in both humans and in APOE-TR mice. This suggests that the gut microbiome is worth further investigation as a potential therapeutic target to mitigate the deleterious impact of the APOE4 allele on cognitive decline and the prevention and treatment of AD.
- organism: human
- organism: mouse
- assay: metagenomics
- research focus: differential expression
- approach: statistical model
- Citations
- 233
- FWCI
- 7.70
- Field percentile
- top 1%
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