Evidence map›Paper›PMID 41726401›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Identifying TRIM11 Upregulators as Therapeutic Targets in Alzheimer's Disease: A Bayesian Network Approach.

Alvin Pham, Sumita Garai, Tianhua Zhai, Mengyuan Kan, Li Shen

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alvin PhamUniversity of Texas at Austin, Austin, TX, USA.
Sumita GaraiUniversity of Pennsylvania, Philadelphia, PA, USA.
Tianhua ZhaiUniversity of Pennsylvania, Philadelphia, PA, USA.
Mengyuan KanUniversity of Pennsylvania, Philadelphia, PA, USA.
Li ShenUniversity of Pennsylvania, Philadelphia, PA, USA.

Funding

Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse CohortsU19AG074879 · NIA · MAYO CLINIC JACKSONVILLE · PI Minerva Maria Carrasquillo · 2023 to 2026
$42.0M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Artificial Intelligence Strategies for Alzheimer's Disease ResearchU01AG066833 · NIA · CEDARS-SINAI MEDICAL CENTER · PI MOORE, JASON H., RITCHIE, MARYLYN D · 2022 to 2025
$6.7M
NIA NIH HHS U01 AG066833NIA NIH HHS U01 AG068057NIA NIH HHS U19 AG074879
6 · The paper itself

Abstract

A recent study shows that TRIM11 is downregulated in Alzheimer's Disease (AD) but has been demonstrated to improve cognitive function when overexpressed in mouse AD models. Based on this discovery, our study aims to identify potential genetic regulators of TRIM11 using single-cell and single-nucleus RNA sequencing, and graph learning methods. In this study we explore two publicly available datasets: GSE173731 and GSE227222. To identify the potential regulators of TRIM11, we use a probabilistic approach and Bayesian networks. Our approach identified a set of candidate genes in both datasets that may exert regulatory influence on TRIM11, offering potential targets for further research in future therapeutic strategies in AD.

Indexed as

Alzheimer DiseaseTripartite Motif ProteinsUbiquitin-Protein LigasesAnimalsBayes TheoremHumansSequence Analysis, RNAUp-RegulationTRIM11 protein, humanTripartite Motif ProteinsUbiquitin-Protein Ligases

Identifiers

PMID41726401
PMCPMC12919549

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.