Evidence map›Paper›PMID 37288252›Full record

ReviewFrontiers in cardiovascular medicine2023

Single-cell RNA sequencing provides novel insights to pathologic pathways in abdominal aortic aneurysm.

Jack Bontekoe, Bo Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Myeloid Cells in Abdominal Aortic Aneurysm.Current atherosclerosis reports · 2025
    Review
  4. Article
  5. Article
  6. Review
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

2 authors at 1 institution in 1 country.

Jack BontekoeDivision of Vascular Surgery, Department of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States.
Bo LiuDivision of Vascular Surgery, Department of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States.
University of Wisconsin–Madison · US

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Role of RIP3-laden extracellular vesicles in thrombosis and aortic aneurysmR01HL149404 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI LIU, BO · 2020 to 2023
$2.0M
Novel Role of Thrombospondin-1 in Protection against Rupture of Abdominal Aortic AneurysmR01HL158073 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI LIU, BO · 2021 to 2024
$1.9M
NHLBI NIH HHS R01 HL149404NHLBI NIH HHS R01 HL158073NHLBI NIH HHS T32 HL007936
6 · The paper itself

Abstract

There is gaining popularity in the use of single-cell technology and analysis in studying the pathogenesis of abdominal aortic aneurysm (AAA). As there are no current pharmacologic therapies for impeding aneurysm growth or preventing AAA rupture, identifying key pathways involved in AAA formation is critical for the development of future therapies. Single-cell RNA sequencing (scRNA-seq) technology provides an unbiased and global view of transcriptomic characteristics within each of the major cell types in aneurysmal tissues. In this brief review, we examine the current literature utilizing scRNA-seq for the analysis of AAA and discuss trends and future utility of this technology.

Indexed as

abdominal aortic aneursyminflammationsingle-cell RNA sequencingtranscriptomicvascular smooth muscle cell (VSMC)

Identifiers

PMID37288252
PMCPMC10241995
OpenAlexW4377823074

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.