Background: The decreased mortality of people with HIV (PWH) has revealed non-HIV-associated comorbidities such as neurocognitive disorders (e.g., dementia). There is an urgency to discover therapeutics to prevent or delay neurocognitive decline among PWH.
Methods: The artificial intelligence platform Automatic Graph-mining And Transformer based Hypothesis Generation Approach (AGATHA) was utilized to seek potential drugs to be repurposed for the management of non-HIV-associated dementia. AGATHA revealed angiotensin-converting enzyme inhibitors that cross the blood-brain barrier (BBB ACEi) as a target for decreasing dementia. Subsequently, we conducted a retrospective study evaluating incident dementia using the Veterans Affairs Informatics and Computing Infrastructure (VINCI) evaluating ACE inhibitors. Cox proportional hazards models were fit and hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) are presented.
Findings: A total 9419 PWH exposed to an BBB ACE inhibitor (ACEi) and 8831 PWH unexposed demonstrated that PWH exposed to BBB ACEi had a 21.4% (univariate) and 15.2% (multivariate) lower hazard of dementia. The propensity score matched analysis demonstrated a 14.3% lower hazard of incident dementia compared to BBB ACEi unexposed (HR 0.857, 95% CI 0.747-0.984).
Interpretation: An artificial intelligence-based literature mining system (AGATHA) was utilized to uncover a medication with potential to be repurposed. AGATHA demonstrated that BBB ACEi as a target for decreasing dementia among PWH. Additionally, we conducted a retrospective study demonstrating a decrease in incident dementia among PWH exposed to BBB ACEi. Future research is needed to explore further and understand the relationship of dementia among PWH exposed to ACEi.
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