Evidence map›Paper›PMID 34692110›Full record

ArticleNational science review2020

Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level.

Dongxu He, Aiqin Mao, Chang-Bo Zheng, Hao Kan, Ka Zhang, Zhiming Zhang, Lei Feng, Xin Ma

Open access · goldAbstract read
In one paragraph

Article in National science review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  8. Single-Cell RNA-Seq Reveals Coronary Heterogeneity and Identifies CD133Arteriosclerosis, thrombosis, and vascular biology · 2024
    Article
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  12. Article
  13. Review
  14. Article
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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 1 country.

Dongxu HeWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Aiqin MaoWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Chang-Bo ZhengSchool of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China.
Hao KanWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Ka ZhangWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Zhiming ZhangSchool of Biotechnology, Jiangnan University, Wuxi 214122, China.
Lei FengWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Xin MaWuxi School of Medicine and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Jiangnan University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aorta, with ascending, arch, thoracic and abdominal segments, responds to the heartbeat, senses metabolites and distributes blood to all parts of the body. However, the heterogeneity across aortic segments and how metabolic pathologies change it are not known. Here, a total of 216 612 individual cells from the ascending aorta, aortic arch, and thoracic and abdominal segments of mouse aortas under normal conditions or with high blood glucose levels, high dietary salt, or high fat intake were profiled using single-cell RNA sequencing. We generated a compendium of 10 distinct cell types, mainly endothelial (EC), smooth muscle (SMC), stromal and immune cells. The distributions of the different cells and their intercommunication were influenced by the hemodynamic microenvironment across anatomical segments, and the spatial heterogeneity of ECs and SMCs may contribute to differential vascular dilation and constriction that were measured by wire myography. Importantly, the composition of aortic cells, their gene expression profiles and their regulatory intercellular networks broadly changed in response to high fat/salt/glucose conditions. Notably, the abdominal aorta showed the most dramatic changes in cellular composition, particularly involving ECs, fibroblasts and myeloid cells with cardiovascular risk factor-related regulons and gene expression networks. Our study elucidates the nature and range of aortic cell diversity, with implications for the treatment of metabolic pathologies.

Indexed as

aortacardiovascular diseasesingle-cell RNA sequencing

Identifiers

PMID34692110
PMCPMC8289085
OpenAlexW3011273109

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.