Evidence map›Paper›PMID 37759225›Full record

ArticleImmunity & ageing : I & A2023

Transcriptional characteristics and functional validation of three monocyte subsets during aging.

Chen Wang, Yating Cheng, Boyu Li, Xueping Qiu, Hui Hu, Xiaokang Zhang, Zhibing Lu, Fang Zheng

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Induction of dysfunctional CD14Frontiers in immunology · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Monocyte Involvement in the Pathogenesis of Myeloproliferative Neoplasms.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Review
  10. Glycolytic metabolism: Food for immune cells, fuel for depression?Brain, behavior, & immunity - health · 2024
    Article
  11. Article
  12. Article
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.

Chen WangCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Yating ChengCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Boyu LiCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Xueping QiuCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Hui HuCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Xiaokang ZhangCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Zhibing LuDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. luzhibing222@163.com.
Fang ZhengCenter for Gene Diagnosis, Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. zhengfang@whu.edu.cn.
Wuhan University · CNZhongnan Hospital of Wuhan University · CN

Funding

International Cooperation Project of Key Research and Development Program of Hubei Province 2022EHB026National Natural Science Foundation of China 82072373Natural Science Foundation of the First Affiliated Hospital of Soochow University BXQN202229Translation Medicine and Interdisciplinary Research Joint Fund of Zhongnan Hospital of Wuhan University ZNLH201907
6 · The paper itself

Abstract

backgroundAge-associated changes in immunity are inextricably linked to chronic inflammation and age-related diseases, the impact of aging on monocyte subsets is poorly understood.

methodsFlow cytometry was applied to distinguish three monocyte subsets between 120 young and 103 aged individuals. We then analyzed the expression profiles of three monocyte subsets from 9 young and 9 older donors and CD14

resultsCompared with young individuals, the percentage of classical subset in aged persons significantly decreased, while the proportion of nonclassical subset increased. Age-related differential genes were obviously enriched in cellular senescence, ROS, oxidative phosphorylation, mitochondrial respiratory chain, IL-6 and ribosome-related pathways. Compared with young individuals, the β-galactosidase activities, ROS contents, intracellular IL-6 levels of three monocyte subsets, and plasma IL-6 levels in aged individuals were significantly elevated, while the MMPs apparently declined with age and the mitochondrial contents were only increased in intermediate and nonclassical subsets. CD14

conclusionsDuring aging, monocytes exhibited senescence-associated secretory phenotype, mitochondrial dysfunction, decreased oxidative phosphorylation and increased glycolysis and the nonclassical subset displayed the clearest features of aging. Our study comprehensively investigated age-related transcriptional alterations of three monocyte subsets and identified the pivotal pathways of monocyte senescence, which may have significant implications for tactics to alleviate age-related conditions.

Indexed as

Aerobic glycolysisCellular senescenceMonocyte subsetsOxidative phosphorylationSenescence-associated secretory phenotype

Identifiers

PMID37759225
PMCPMC10523626
OpenAlexW4387101923

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.