Evidence map›Paper›PMID 34829754›Full record

ArticleBiomedicines2021

Identification of Disease-Related Genes That Are Common between Alzheimer's and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis.

Taesic Lee, Hyunju Lee, The Alzheimer's Disease Neuroimaging Initiative

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Latarjet procedure without capsular repair produces favorable clinical results and avoids limitation in external rotation.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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

3 authors at 2 institutions in 1 country.

Taesic LeeDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0002-0706-167X
Hyunju LeeDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0003-2389-7183
The Alzheimer's Disease Neuroimaging Initiative
Gwangju Institute of Science and Technology · KRYonsei University · KR

Funding

Korea Health Industry Development Institute HI18C0460National Research Foundation of Korea NRF-2018M3C7A1054935
6 · The paper itself

Abstract

Accumulating evidence has suggested a shared pathophysiology between Alzheimer's disease (AD) and cardiovascular disease (CVD). Based on genome-wide transcriptomes, specifically those of blood samples, we identify the shared disease-related signatures between AD and CVD. In addition to gene expressions in blood, the following prior knowledge were utilized to identify several candidate disease-related gene (DRG) sets: protein-protein interactions, transcription factors, disease-gene relationship databases, and single nucleotide polymorphisms. We selected the respective DRG sets for AD and CVD that show a high accuracy for disease prediction in bulk and single-cell gene expression datasets. Then, gene regulatory networks (GRNs) were constructed from each of the AD and CVD DRG sets to identify the upstream regulating genes. Using the GRNs, we identified two common upstream genes (GPBP1 and SETDB2) between the AD and CVD GRNs. In summary, this study has identified the potential AD- and CVD-related genes and common hub genes between these sets, which may help to elucidate the shared mechanisms between these two diseases.

Indexed as

Alzheimer’s diseaseblood gene expressioncardiovascular diseaseconvergent functional genomicsdifferential expression analysisDigSeedisease-related molecular signaturesgene regulatory network

Identifiers

PMID34829754
PMCPMC8614900
OpenAlexW3208110309

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.