Journal of Alzheimer s DiseaseNeurosciencePeer-reviewed journal article
Inflammation in Alzheimer's disease: do sex and APOE matter?
Paula Duarte‐GutermaniD, on behalf of the Alzheimer’s Disease Neuroimaging Initiative, Arianne AlbertiD, Amy M. InksteriD, Cindy K. BarhaiD, Liisa A.M. GaleaiD
Abstract
Alzheimers disease (AD) disproportionately affects females with steeper cognitive decline and more neuropathology compared to males, which is exacerbated in females carrying the APOE{varepsilon}4 allele. The risk of developing AD is also higher in female APOE{varepsilon}4 carriers in earlier age groups (aged 65-75), and the progression from cognitively normal to mild cognitive impairment (MCI) and to AD may be influenced by sex. Inflammation is observed in AD and is related to aging, stress, and neuroplasticity, and although studies are scarce, sex differences are noted in inflammation. The objective of this study was to investigate underlying physiological inflammatory mechanisms that may help explain why there are sex differences in AD and APOE{varepsilon}4 carriers. We investigated, using the ADNI database, the effect of sex and APOE genotype (non-carriers or carriers of 1 and 2 APOE{varepsilon}4 alleles) and sex and diagnosis (cognitively normal (CN), MCI, AD) on CSF (N= 279) and plasma (N= 527) markers of stress and inflammation. We found CSF IL-16 and IL-8 levels were significantly lower in female non-carriers of APOE{varepsilon}4 alleles compared to males, whereas levels were similar between the sexes among carriers of APOE{varepsilon}4 alleles. Furthermore, females had on average higher levels of plasma CRP and ICAM1 but lower levels of CSF ICAM1, IL-8, IL-16, and IgA than males. Carrying APOE{varepsilon}4 alleles and diagnosis (MCI and AD) decreased plasma CRP in both sexes. Sex differences in inflammatory biomarkers support that the underlying physiological changes during aging differ by sex and tissue origin.
- organism: human
- assay: proteomics
- research focus: differential expression
- research focus: benchmarking
- approach: statistical model
- Citations
- 30
- FWCI
- 2.56
- Field percentile
- top 10%
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