Genetic correlations between gut microbiota genera and Alzheimers Disease
Cammann, D. B.; Lu, Y.; Cummings, M. J.; Zhang, M. L.; Cue, J. M.; Do, J.; Ebersole, J.; Chen, X.; Oh, E. C.; Cummings, J. L.; Chen, J.
Show abstract
1.AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackgroundC_ST_ABSDysbiosis of the human gut microbiota has been implicated in the development of Alzheimers disease (AD). However, the genetic correlation between gut microbiota and AD is not well addressed. MethodsUsing the largest genome-wide association study (GWAS) of gut microbiota genera from the MiBioGen consortium, we conducted the "best-fit" model from PRSice-2 to determine the genetic correlation between 119 genera and AD in a discovery sample (case/control: 1,278/1,293); we then replicated our findings in an independent sample (case/control: 799/778) and further performed meta-analyses to confirm the correlation. Finally, we conducted a linear regression to assess the correlation between the PRSs for the significant genera and the APOE genotype. ResultsIn the discovery sample, 20 gut microbiota genera were initially identified genetically associated with AD. Three genera (Eubacterium fissicatena as a protective factor, Collinsella and Veillonella as a risk factor) were validated in the replication sample. Meta-analysis confirmed nine genera to have a significant correlation with AD, three of which were significantly associated with the APOE rs429358 risk allele in a direction consistent with their protective/risk designation in AD association. Notably, the proinflammatory genus Collinsella, identified as a risk factor for AD, was positively correlated with the APOE rs429358 risk allele in both samples. ConclusionHost genetic factors influencing the abundance of nine genera are significantly associated with AD, suggesting that these genera may serve as biomarkers and targets for AD treatment and intervention. Our results highlight that proinflammatory gut microbiota might promote AD development through interaction with APOE. Larger datasets and functional studies are required to understand their causal relationships.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cerebrospinal fluid total tau levels indicate aberrant neuronal plasticity in Alzheimer’s disease 93%
- Genetic perturbations of disease risk genes in mice capture transcriptomic signatures of late-onset Alzheimer’s disease 93%
- Interrogating the plasma proteome of repetitive head impact exposure and chronic traumatic encephalopathy 93%
Similar papers in this journal
- PTPRS is a novel marker for early tau pathology and synaptic integrity in Alzheimer's disease 94%
- Cerebral Small Vessel Disease Burden is Associated with Decreased Abundance of Gut Barnesiella intestinihominis Bacterium in the Framingham Heart Study 94%
- Peripheral inflammation is associated with structural brain atrophy and cognitive decline linked to mild cognitive impairment and Alzheimer's disease 93%
Similar papers in this journal
- Multi-region spatial transcriptomics reveals region specific differences in response to amyloid beta (Aβ) plaque induced changes in Alzheimer's Disease (AD) 91%
- A genome-wide pleiotropy study between atopic dermatitis and neuropsychiatric disorders 89%
- Altered skin microbiome, inflammation, and JAK/STAT signaling in Southeast Asian ichthyosis patients 88%
Similar papers in this journal
- Multi-ancestry transcriptome-wide association studies of cognitive function, white matter hyperintensity, and Alzheimer’s disease 94%
- Unique gut microbiome signatures among adult patients with moderate to severe atopic dermatitis in southern Chinese 94%
- Fecal microbiota transplantation derived from Alzheimer's disease mice worsens brain trauma outcomes in wild-type controls 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.