Immune system-wide Mendelian randomization and triangulation analyses support autoimmunity as a modifiable component in dementia-causing diseases.
Joni V LindbohmNina J MarsPyry N SipiläArchana Singh-ManouxHeiko Runznull nullGill LivingstonSudha SeshadriRamnik XavierAroon D HingoraniSamuli RipattiMika KivimakiPublished in: Nature aging (2022)
Immune system and blood-brain barrier dysfunction are implicated in the development of Alzheimer's and other dementia-causing diseases, but their causal role remains unknown. We performed Mendelian randomization for 1,827 immune system- and blood-brain barrier-related biomarkers and identified 127 potential causal risk factors for dementia-causing diseases. Pathway analyses linked these biomarkers to amyloid-β, tau and α-synuclein pathways and to autoimmunity-related processes. A phenome-wide analysis using Mendelian randomization-based polygenic risk score in the FinnGen study (n = 339,233) for the biomarkers indicated shared genetic background for dementias and autoimmune diseases. This association was further supported by human leukocyte antigen analyses. In inverse-probability-weighted analyses that simulate randomized controlled drug trials in observational data, anti-inflammatory methotrexate treatment reduced the incidence of Alzheimer's disease in high-risk individuals (hazard ratio compared with no treatment, 0.64, 95% confidence interval 0.49-0.88, P = 0.005). These converging results from different lines of human research suggest that autoimmunity is a modifiable component in dementia-causing diseases.
Keyphrases
- blood brain barrier
- mild cognitive impairment
- endothelial cells
- cognitive decline
- cognitive impairment
- cerebral ischemia
- anti inflammatory
- risk factors
- induced pluripotent stem cells
- double blind
- oxidative stress
- emergency department
- magnetic resonance
- cerebrospinal fluid
- open label
- low dose
- clinical trial
- high dose
- dna methylation
- big data
- phase iii
- machine learning
- study protocol
- brain injury
- artificial intelligence
- peripheral blood
- deep learning
- smoking cessation