Evidence map›Paper›PMID 39250700›Full record

ArticleAIDS (London, England)2024

Exposure to angiotensin-converting enzyme inhibitors that cross the blood-brain barrier and the risk of dementia among people with HIV.

Tammy H Cummings, Joseph Magagnoli, Aliaksandra Sikirzhytskaya, Ilya Tyagin, Ilya Safro, Michael D Wyatt, Michael S Shtutman, S Scott Sutton

Abstract read
In one paragraph

Article in AIDS (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tammy H CummingsDorn Research Institute, Columbia Veterans Affairs Healthcare System.
Joseph MagagnoliDorn Research Institute, Columbia Veterans Affairs Healthcare System.
Aliaksandra SikirzhytskayaDepartment of Drug Discovery & Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, South Carolina.
Ilya TyaginDepartment of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA.
Ilya SafroDepartment of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA.
Michael D WyattDepartment of Drug Discovery & Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, South Carolina.
Michael S ShtutmanDepartment of Drug Discovery & Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, South Carolina.
S Scott SuttonDorn Research Institute, Columbia Veterans Affairs Healthcare System.

Funding

Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorderR01DA054992 · NIDA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SAFRO, ILYA, SHTUTMAN, MICHAEL · 2021 to 2025
$2.1M
NIDA NIH HHS R01 DA054992
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

findingsA 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).

interpretationAn 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.

Indexed as

Angiotensin-Converting Enzyme InhibitorsBlood-Brain BarrierDementiaHIV InfectionsAdultAgedArtificial IntelligenceFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentAngiotensin-Converting Enzyme Inhibitors

Identifiers

PMID39250700
PMCPMC11666406

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.