Evidence map›Paper›PMID 37379396›Full record

ArticleScience advances2023

Human PBMC scRNA-seq-based aging clocks reveal ribosome to inflammation balance as a single-cell aging hallmark and super longevity.

Hongming Zhu, Jiawei Chen, Kangping Liu, Lei Gao, Haiyan Wu, Liangliang Ma, Jieru Zhou, Zhongmin Liu, Jing-Dong J Han

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
–field-weighted citation impact
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

87 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  6. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Lecanemab treatment improves B cell subpopulation immune homeostasis in patients with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  13. SiteCELL enablesiScience · 2026
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

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

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

9 authors.

Hongming ZhuTranslational Medical Center for Stem Cell Therapy & Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.ORCID 0000-0002-3243-7931
Jiawei ChenPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing 100871, P.R. China.ORCID 0000-0002-4584-4712
Kangping LiuPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing 100871, P.R. China.ORCID 0000-0003-4303-561X
Lei GaoTranslational Medical Center for Stem Cell Therapy & Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.ORCID 0000-0003-3948-9213
Haiyan WuTranslational Medical Center for Stem Cell Therapy & Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Liangliang MaDepartment of Health Management, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Jieru ZhouDepartment of Health Management, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.
Zhongmin LiuTranslational Medical Center for Stem Cell Therapy & Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.ORCID 0000-0003-4709-4027
Jing-Dong J HanPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing 100871, P.R. China.ORCID 0000-0002-9270-7139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying aging rate is important for evaluating age-associated decline and mortality. A blood single-cell RNA sequencing dataset for seven supercentenarians (SCs) was recently generated. Here, we generate a reference 28-sample aging cohort to compute a single-cell level aging clock and to determine the biological age of SCs. Our clock model placed the SCs at a blood biological age to between 80.43 and 102.67 years. Compared to the model-expected aging trajectory, SCs display increased naive CD8

Indexed as

CD8-Positive T-LymphocytesLongevityAged, 80 and overAgingBayes TheoremCellular SenescenceHumansInflammationLeukocytes, MononuclearRibosomesSingle-Cell Gene Expression Analysis

Identifiers

PMID37379396
PMCPMC10306289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.