Evidence map›Paper›PMID 37820925›Full record

ReviewThe American journal of pathology2024

Nuclear Control of Vascular Smooth Muscle Cell Plasticity during Vascular Remodeling.

Ibrahim A Ahmed, Mingjun Liu, Delphine Gomez

Abstract readReview
In one paragraph

Review in The American journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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.

Ibrahim A AhmedPittsburgh Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania; Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Mingjun LiuDepartment of Pathology, New York University, New York, New York.
Delphine GomezPittsburgh Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania; Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: gomezd@pitt.edu.

Funding

Epigenetic control of smooth muscle cell phenotype during microvascular remodelingR01HL146465 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Delphine Gomez · 2019 to 2026
$3.4M
NHLBI NIH HHS R01 HL146465
6 · The paper itself

Abstract

Control of vascular smooth muscle cell (SMC) gene expression is an essential process for establishing and maintaining lineage identity, contractility, and plasticity. Most mechanisms (epigenetic, transcriptional, and post-transcriptional) implicated in gene regulation occur in the nucleus. Still, intranuclear pathways are directly impacted by modifications in the extracellular environment in conditions of adaptive or maladaptive remodeling. Integration of extracellular, cellular, and genomic information into the nucleus through epigenetic and transcriptional control of genome organization plays a major role in regulating SMC functions and phenotypic transitions during vascular remodeling and diseases. This review aims to provide a comprehensive update on nuclear mechanisms, their interactions, and their integration in controlling SMC homeostasis and dysfunction. It summarizes and discusses the main nuclear mechanisms preponderant in SMCs in the context of vascular disease, such as atherosclerosis, with an emphasis on studies employing in vivo cell-specific loss-of-function and single-cell omics approaches.

Indexed as

Muscle, Smooth, VascularVascular RemodelingCell PlasticityGene Expression RegulationHumansMyocytes, Smooth MusclePhenotype

Identifiers

PMID37820925
PMCPMC10988766

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.