Evidence map›Paper›PMID 36465170›Full record

ArticleAging and disease2022

Single-Cell RNA-Seq Reveals a Population of Smooth Muscle Cells Responsible for Atherogenesis.

Xiaofeng Shi, Shangming Zhu, Meijing Liu, Sara Saymuah Stone, Yao Rong, Ke Mao, Xiaopeng Xu, Chao Ma, Zhuoyuan Jiang, Yan Zha and 11 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. The role of TNC in atherosclerosis and drug development opportunities.International journal of biological sciences · 2024
    Review
  4. Phenotypic Switching of Vascular Smooth Muscle Cells in Atherosclerosis.Journal of the American Heart Association · 2023
    Review
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

21 authors at 4 institutions in 2 countries.

Xiaofeng Shi *1School of Engineering Medicine, Beihang University, Beijing, China.
Shangming Zhu *1School of Engineering Medicine, Beihang University, Beijing, China.
Meijing Liu1School of Engineering Medicine, Beihang University, Beijing, China.
Sara Saymuah Stone4Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA.
Yao Rong1School of Engineering Medicine, Beihang University, Beijing, China.
Ke Mao3School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Xiaopeng Xu1School of Engineering Medicine, Beihang University, Beijing, China.
Chao Ma3School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Zhuoyuan Jiang3School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Yan Zha3School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Chun Yan1School of Engineering Medicine, Beihang University, Beijing, China.
Xiaofan Yu3School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Di Wu5Department of Neurology and China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
Guiyou Liu2Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
Jidong Mi6Beijing SINOGENE Biotechnology Co., Ltd, Beijing, China.
Jianping Zhao6Beijing SINOGENE Biotechnology Co., Ltd, Beijing, China.
Yuan Li6Beijing SINOGENE Biotechnology Co., Ltd, Beijing, China.
Yuchuan Ding4Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA.
Xiaogang Wang1School of Engineering Medicine, Beihang University, Beijing, China.
Yong-Biao Zhang1School of Engineering Medicine, Beihang University, Beijing, China.
Xunming Ji2Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
Beihang University · CNCapital Medical University · CNWayne State University · USChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the regional propensity differences of atherosclerosis (AS) development is hindered by the lack of animal models suitable for the study of the disease process. In this paper, we used 3S-ASCVD dogs, an ideal large animal human-like models for AS, to interrogate the heterogeneity of AS-prone and AS-resistant arteries; and at the single-cell level, identify the dominant cells involved in AS development. Here we present data from 3S-ASCVD dogs which reliably mimic human AS pathophysiology, predilection for lesion sites, and endpoint events. Our analysis combined bulk RNA-seq with single-cell RNA-seq to depict the transcriptomic profiles and cellular atlas of AS-prone and AS-resistant arteries in 3S-ASCVD dogs. Our results revealed the integral role of smooth muscle cells (SMCs) in regional propensity for AS. Notably, TNC

Indexed as

atherosclerosislarge animal modelregional susceptibilityScRNA-seqsmooth muscle cells

Identifiers

PMID36465170
PMCPMC9662277
OpenAlexW4310782289

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.