Evidence map›Paper›PMID 34095155›Full record

ArticleFrontiers in cell and developmental biology2021

Single-Cell Transcriptomics Reveals Endothelial Plasticity During Diabetic Atherogenesis.

Guizhen Zhao, Haocheng Lu, Yuhao Liu, Yang Zhao, Tianqing Zhu, Minerva T Garcia-Barrio, Y Eugene Chen, Jifeng Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  7. Endothelial Metabolic Reprogramming Links Diabetes to Atherosclerosis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  8. Review
  9. Endothelial to mesenchymal transition: a central mechanism in diabetes-induced vascular pathology.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Review
  10. Article
  11. Article
  12. Review
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  15. Article
  16. Identification of novel biomarkers for atherosclerosis using single-cell RNA sequencing and machine learning.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  17. Review
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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

8 authors at 2 institutions in 2 countries.

Guizhen ZhaoFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Haocheng LuFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Yuhao LiuFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Yang ZhaoFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Tianqing ZhuFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Minerva T Garcia-BarrioFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Y Eugene ChenFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Jifeng ZhangFrankel Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI, United States.
Ann Arbor VA Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Using genetics to discover mechanisms of myocardial infarctionR01HL109946 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUQING Eugene CHEN, Ida Liisa Surakka · 2011 to 2026
$8.9M
KLF14 and Cardiovascular DiseaseR01HL134569 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, YUQING EUGENE · 2017 to 2024
$5.3M
Kruppel-like factor 11 (KLF11) and atherosclerosisR01HL138139 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIFENG · 2017 to 2021
$2.3M
The Role of TM6SF2 in Cardiovascular DiseaseR01HL137214 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, YUQING EUGENE · 2017 to 2020
$2.2M
NHLBI NIH HHS R01 HL109946NHLBI NIH HHS R01 HL134569NHLBI NIH HHS R01 HL137214NHLBI NIH HHS R01 HL138139NIDDK NIH HHS P30 DK020572
6 · The paper itself

Abstract

Atherosclerosis is the leading cause of cardiovascular diseases, which is also the primary cause of mortality among diabetic patients. Endothelial cell (EC) dysfunction is a critical early step in the development of atherosclerosis and aggravated in the presence of concurrent diabetes. Although the heterogeneity of the organ-specific ECs has been systematically analyzed at the single-cell level in healthy conditions, their transcriptomic changes in diabetic atherosclerosis remain largely unexplored. Here, we carried out a single-cell RNA sequencing (scRNA-seq) study using EC-enriched single cells from mouse heart and aorta after 12 weeks feeding of a standard chow or a diabetogenic high-fat diet with cholesterol. We identified eight EC clusters, three of which expressed mesenchymal markers, indicative of an endothelial-to-mesenchymal transition (EndMT). Analyses of the marker genes, pathways, and biological functions revealed that ECs are highly heterogeneous and plastic both in normal and atherosclerotic conditions. The metabolic transcriptomic analysis further confirmed that EndMT-derived fibroblast-like cells are prominent in atherosclerosis, with diminished fatty acid oxidation and enhanced biological functions, including regulation of extracellular-matrix organization and apoptosis. In summary, our data characterized the phenotypic and metabolic heterogeneity of ECs in diabetes-associated atherogenesis at the single-cell level and paves the way for a deeper understanding of endothelial cell biology and EC-related cardiovascular diseases.

Indexed as

atherosclerosisdiabetesendothelial cellsingle-cell RNA-sequencingtranscriptomic heterogeneity

Identifiers

PMID34095155
PMCPMC8170046
OpenAlexW3162108567

What Socratic 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 Socratic graph.