Evidence map›Paper›PMID 34617064›Full record

ReviewJVS-vascular science2021

Smooth muscle cells in atherosclerosis: clones but not carbon copies.

Cristina Espinosa-Diez, Varun Mandi, Mingyuan Du, Mingjun Liu, Delphine Gomez

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in JVS-vascular science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Spatial expression of myocardin protein in normal and disease states.American journal of physiology. Cell physiology · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Clonal Expansion in Cardiovascular Pathology.JACC. Basic to translational science · 2024
    Review
  9. Nobody Is Perfect: Cre Drivers Deserve Careful Consideration.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. "Cre"ating New Tools for Smooth Muscle Analysis.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Cristina Espinosa-DiezPittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pa.
Varun MandiPittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pa.
Mingyuan DuPittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pa.
Mingjun LiuPittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pa.
Delphine GomezPittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pa.
University of Pittsburgh · US

Funding

TRAINING PROGRAM FOR MD/PHD STUDENTST32GM008208 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMAN, RICHARD A · 1987 to 2021
$15.4M
Training Program in Imaging Sciences in Translational Cardiovascular ResearchT32HL129964 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Flordeliza S Villanueva · 2016 to 2026
$4.7M
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 HL146465NHLBI NIH HHS T32 HL129964NIGMS NIH HHS T32 GM008208
6 · The paper itself

Abstract

Our knowledge of the contribution of vascular smooth muscle cells (SMCs) to atherosclerosis has greatly advanced in the previous decade with the development of techniques allowing for the unambiguous identification and phenotypic characterization of SMC populations within the diseased vascular wall. By performing fate mapping or single-cell transcriptomics studies, or a combination of both, the field has made key observations: SMCs populate atherosclerotic lesions by the selective expansion and investment of a limited number of medial SMCs, which undergo profound and diverse modifications of their original phenotype and function. Thus, if SMCs residing within atherosclerotic lesions and contributing to the disease are clones, they are not carbon copies and can play atheroprotective or atheropromoting roles, depending on the nature of their phenotypic transitions. Tremendous progress has been made in identifying the transcriptional mechanisms biasing SMC fate. In the present review, we have summarized the recent advances in characterizing SMC investment and phenotypic diversity and the molecular mechanisms controlling SMC fate in atherosclerotic lesions. We have also discussed some of the remaining questions associated with these breakthrough observations. These questions include the underlying mechanisms regulating the phenomenon of SMC oligoclonal expansion; whether single-cell transcriptomics is reliable and sufficient to ascertain SMC functions and contributions during atherosclerosis development and progression; and how SMC clonality and phenotypic plasticity affects translational research and the therapeutic approaches developed to prevent atherosclerosis complications. Finally, we have discussed the complementary approaches the field should lean toward by combining single-cell phenotypic categorization and functional studies to understand further the complex SMC behavior and contribution in atherosclerosis.

Indexed as

Cell differentiationCell plasticityCoronary artery diseaseTranscriptomicsVascular cellVascular disease

Identifiers

PMID34617064
PMCPMC8489213
OpenAlexW3162482818

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.