Evidence map›Paper›PMID 32913304›Full record

ArticleCell research2021

Single-cell transcriptomic atlas of primate cardiopulmonary aging.

Shuai Ma, Shuhui Sun, Jiaming Li, Yanling Fan, Jing Qu, Liang Sun, Si Wang, Yiyuan Zhang, Shanshan Yang, Zunpeng Liu and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Cell research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 151 citations in OpenAlex.

  1. Article
  2. Review
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  5. Targeting Arterial Dysfunction in Cardiovascular Disease Using Stem Cell-Based Therapies.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  7. Mitochondrial regulation of cellular senescence heterogeneity.Frontiers in cell and developmental biology · 2026
    Review
  8. Article
  9. Young cardiac telocyte-derived exosomes rejuvenate aging hearts in rats.Frontiers in cell and developmental biology · 2026
    Article
  10. Article
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  12. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Dissecting endothelial cell heterogeneity with new tools.Cell regeneration (London, England) · 2025
    Review
  20. Article

39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 2 countries.

Shuai Ma *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Shuhui Sun *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Jiaming Li *CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Yanling Fan *CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Jing Qu *State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0002-3988-5067
Liang Sun *The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.ORCID http://orcid.org/0000-0003-1634-4716
Si WangState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Yiyuan ZhangNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Shanshan YangAdvanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
Zunpeng LiuState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Zeming WuState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Sheng ZhangNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Qiaoran WangCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Aihua ZhengUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Shuguang DuoLaboratory Animal Center, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Yang YuDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-4310-1966
Juan Carlos Izpisua BelmonteGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Piu ChanAdvanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
Qi ZhouState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Moshi SongState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China. songmoshi@ioz.ac.cn.
Weiqi ZhangCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. zhangwq@big.ac.cn.
Guang-Hui LiuState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China. ghliu@ioz.ac.cn.ORCID http://orcid.org/0000-0001-9289-8177
Chinese Academy of Sciences · CNCapital Medical University · CNKunming Medical University · CNPeking University · CNSalk Institute for Biological Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a major risk factor for many diseases, especially in highly prevalent cardiopulmonary comorbidities and infectious diseases including Coronavirus Disease 2019 (COVID-19). Resolving cellular and molecular mechanisms associated with aging in higher mammals is therefore urgently needed. Here, we created young and old non-human primate single-nucleus/cell transcriptomic atlases of lung, heart and artery, the top tissues targeted by SARS-CoV-2. Analysis of cell type-specific aging-associated transcriptional changes revealed increased systemic inflammation and compromised virus defense as a hallmark of cardiopulmonary aging. With age, expression of the SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) was increased in the pulmonary alveolar epithelial barrier, cardiomyocytes, and vascular endothelial cells. We found that interleukin 7 (IL7) accumulated in aged cardiopulmonary tissues and induced ACE2 expression in human vascular endothelial cells in an NF-κB-dependent manner. Furthermore, treatment with vitamin C blocked IL7-induced ACE2 expression. Altogether, our findings depict the first transcriptomic atlas of the aged primate cardiopulmonary system and provide vital insights into age-linked susceptibility to SARS-CoV-2, suggesting that geroprotective strategies may reduce COVID-19 severity in the elderly.

Indexed as

AgingTranscriptomeAlveolar Epithelial CellsAngiotensin-Converting Enzyme 2AnimalsAscorbic AcidCell LineCOVID-19Endothelial CellsHumansInterleukin-7Macaca fascicularisMyocytes, CardiacRNA-SeqSARS-CoV-2Single-Cell AnalysisAngiotensin-Converting Enzyme 2Ascorbic AcidInterleukin-7

Identifiers

PMID32913304
PMCPMC7483052
OpenAlexW3084134338

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.