Evidence map›Paper›PMID 34299168›Full record

ReviewInternational journal of molecular sciences2021

Epithelial Cell Transformation and Senescence as Indicators of Genome Aging: Current Advances and Unanswered Questions.

Masatoshi Kitakaze, Ryota Chijimatsu, Andrea Vecchione, Toru Kitagawa, Yuichiro Doki, Hidetoshi Eguchi, Hideshi Ishii

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Dysfunctions, molecular mechanisms, and therapeutic strategies of pancreatic β-cells in diabetes.Apoptosis : an international journal on programmed cell death · 2023
    Review
  4. 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

7 authors.

Masatoshi KitakazeCenter of Medical Innovation and Translational Research, Department of Medical Data Science, Osaka University Graduate School of Medicine, Suita, Yamadaoka 2-2, Osaka 565-0871, Japan.
Ryota ChijimatsuCenter of Medical Innovation and Translational Research, Department of Medical Data Science, Osaka University Graduate School of Medicine, Suita, Yamadaoka 2-2, Osaka 565-0871, Japan.ORCID 0000-0002-3125-4818
Andrea VecchioneDepartment of Clinical and Molecular Medicine, University of Rome "Sapienza", Santo Andrea Hospital, via di Grottarossa, 1035-00189 Rome, Italy.ORCID 0000-0002-5497-6856
Toru KitagawaCenter of Medical Innovation and Translational Research, Department of Medical Data Science, Osaka University Graduate School of Medicine, Suita, Yamadaoka 2-2, Osaka 565-0871, Japan.ORCID 0000-0002-7434-2316
Yuichiro DokiDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan.
Hideshi IshiiCenter of Medical Innovation and Translational Research, Department of Medical Data Science, Osaka University Graduate School of Medicine, Suita, Yamadaoka 2-2, Osaka 565-0871, Japan.

Funding

Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology and AMED 19K22658; 20H00541; 17cm0106414h0002
6 · The paper itself

Abstract

The recent advances in deciphering the human genome allow us to understand and evaluate the mechanisms of human genome age-associated transformations, which are largely unclear. Genome sequencing techniques assure comprehensive mapping of human genetics; however, understanding of gene functional interactions, specifically of time/age-dependent modifications, remain challenging. The age of the genome is defined by the sum of individual (inherited) and acquired genomic traits, based on internal and external factors that impact ontogenesis from the moment of egg fertilization and embryonic development. The biological part of genomic age opens a new perspective for intervention. The discovery of single cell-based mechanisms for genetic change indicates the possibility of influencing aging and associated disease burden, as well as metabolism. Cell populations with transformed genetic background were shown to serve as the origin of common diseases during extended life expectancy (superaging). Consequently, age-related cell transformation leads to cancer and cell degeneration (senescence). This article aims to describe current advances in the genomic mechanisms of senescence and its role in the spatiotemporal spread of epithelial clones and cell evolution.

Indexed as

Cellular SenescenceGenome, HumanAgingEpithelial CellsHumansNeoplasmsPhenotypeagingcell transformationgenomemetabolismsenescencesingle cell analysis

Identifiers

PMID34299168
PMCPMC8303760

What OpenQuestion holds

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LicenceCC BY
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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.