Evidence map›Paper›PMID 32074082›Full record

ArticleAging2020

NMR-based metabonomic analysis of HUVEC cells during replicative senescence.

Shenghui Yi, Kejiang Lin, Ting Jiang, Wei Shao, Caihua Huang, Bin Jiang, Qinxi Li, Donghai Lin

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  12. Review
  13. Review
  14. Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023
    Review
  15. Aging of Liver in Its Different Diseases.International journal of molecular sciences · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Nutrition Interventions of Herbal Compounds on Cellular Senescence.Oxidative medicine and cellular longevity · 2022
    Review
  20. 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

8 authors at 3 institutions in 1 country.

Shenghui YiCollege of Chemistry and Chemical Engineering, Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Xiamen University, Xiamen 361005, China.
Kejiang LinDepartment of Medical Chemistry, China Pharmaceutical University, Nanjing 210009, China.
Ting JiangCollege of Chemistry and Chemical Engineering, Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Xiamen University, Xiamen 361005, China.
Wei ShaoCollege of Chemistry and Chemical Engineering, Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Xiamen University, Xiamen 361005, China.
Caihua HuangResearch and Communication Center of Exercise and Health, Xiamen University of Technology, Xiamen 361024, China.
Bin JiangState Key Laboratory of Cellular Stress Biology, School of Life Science, Xiamen University, Xiamen 361102, China.
Qinxi LiState Key Laboratory of Cellular Stress Biology, School of Life Science, Xiamen University, Xiamen 361102, China.
Donghai LinCollege of Chemistry and Chemical Engineering, Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Xiamen University, Xiamen 361005, China.
Xiamen University · CNChina Pharmaceutical University · CNXiamen University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence is a physiological process reacting to stimuli, in which cells enter a state of irreversible growth arrest in response to adverse consequences associated with metabolic disorders. Molecular mechanisms underlying the progression of cellular senescence remain unclear. Here, we established a replicative senescence model of human umbilical vein endothelial cells (HUVEC) from passage 3 (P3) to 18 (P18), and performed biochemical characterizations and NMR-based metabolomic analyses. The cellular senescence degree advanced as the cells were sequentially passaged

Indexed as

MetabolomeAmino AcidsCellular SenescenceHumansHuman Umbilical Vein Endothelial CellsMagnetic Resonance SpectroscopyMetabolomicsOxidative StressAmino AcidsHUVECsmetabolomicsNMR spectroscopyreplicative senescence

Identifiers

PMID32074082
PMCPMC7066908
OpenAlexW3008878399

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.