Evidence map›Paper›PMID 35708028›Full record

ReviewArteriosclerosis, thrombosis, and vascular biology2022

Dissecting the Heterogeneity of Human Thoracic Aortic Aneurysms Using Single-Cell Transcriptomics.

Dogukan Mizrak, Hao Feng, Bo Yang

Open access · bronzeAbstract readReview
In one paragraph

Review in Arteriosclerosis, thrombosis, and vascular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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 2 countries.

Dogukan MizrakDepartment of Cardiac Surgery, University of Michigan, Ann Arbor (D.M., H.F., B.Y.).ORCID 0000-0002-9885-9686
Hao FengDepartment of Cardiac Surgery, University of Michigan, Ann Arbor (D.M., H.F., B.Y.).
Bo YangDepartment of Cardiac Surgery, University of Michigan, Ann Arbor (D.M., H.F., B.Y.).ORCID 0000-0002-2158-9155
University of Michigan · USCentral South University · CN

Funding

Therapeutic Insights into Loeys-Dietz Syndrome using Humanized ModelsR01HL151776 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Bo Yang · 2020 to 2026
$4.2M
Define the mechanisms of aortopathy in bicuspid aortic valve patientsR01HL141891 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, BO · 2018 to 2022
$3.5M
Effect of mutations in the TGF-beta pathway genes on smooth muscle cell differentiation using patient derived iPSCs.K08HL130614 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, BO · 2016 to 2020
$848k
NHLBI NIH HHS K08 HL130614NHLBI NIH HHS R01 HL141891NHLBI NIH HHS R01 HL151776
6 · The paper itself

Abstract

Thoracic aortic aneurysm is a life-threatening condition caused by weakening of the thoracic aorta wall, often developing silently until dissection or rupture occurs. Despite substantial efforts in the past decade, there have been no significant therapeutic advances to prevent or clinically manage diverse forms of thoracic aortic aneurysm and dissection with the only effective treatment being surgical repair. There is an urgent need to understand intra- and inter-aneurysmal heterogeneity underlying thoracic aortic aneurysm and dissection pathogenesis. The human aortic wall consists of many cell types and exhibits significant regional heterogeneity. High-throughput single-cell RNA sequencing has emerged as the principal tool to reveal the complexity in human tissues and clinical specimens. Recent single-cell RNA sequencing studies of different aortic cell populations both in vivo and in vitro began to dissect this complexity and have provided valuable information. In this review, we summarize these findings and discuss the potential applications of single-cell transcriptomics and related high-content technologies in human thoracic aortic aneurysm and dissection research, as well as the challenges associated with it.

Indexed as

Aortic Aneurysm, ThoracicAortic DissectionAortaAorta, ThoracicHumansTranscriptomeaortic aneurysm, thoracichumansinduced pluripotent stem cellsmuscle, smooth, vasculartranscriptome

Identifiers

PMID35708028
PMCPMC9339526
OpenAlexW4282962542

What OpenQuestion 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 OpenQuestion graph.