Evidence map›Paper›PMID 19223605›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2009

Age-related changes in subtelomeric methylation in the normal Japanese population.

Toyoki Maeda, Jing Zhi Guan, Jun-ichi Oyama, Yoshihiro Higuchi, Naoki Makino

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  10. Epigenetic changes in response to tai chi practice: a pilot investigation of DNA methylation marks.Evidence-based complementary and alternative medicine : eCAM · 2012
    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

5 authors at 1 institution in 1 country.

Toyoki MaedaDivision of Molecular and Clinical Gerontology, Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 4546 Tsurumihara, Beppu, Oita 874-0838, Japan. maedat@beppu.kyushu-u.ac.jp
Jing Zhi Guan
Jun-ichi Oyama
Yoshihiro Higuchi
Naoki Makino
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe telomeres of somatic cells become shorter with individual aging. However, no significant change in subtelomeric methylation of somatic cells with aging has yet been reported.

methodsTelomere lengths of the peripheral blood cells of 148 normal Japanese were analyzed by Southern blotting using methylation-sensitive and -insensitive isoschizomers.

resultsWith aging, long telomeres decrease and short telomeres increase, and the contents of the telomeres with methylated subtelomere increase in long telomeres, thus leading us to postulate that telomeres with less methylated subtelomeres tend to become shortened faster.

conclusionsA telomere length distribution analysis with methylation-sensitive and -insensitive isoschizomer seems to be a useful tool to assess the subtelomeric methylation status of the somatic cell population. The subtelomeric methylation of peripheral blood cells is also indicated to be an indicator for aging-associated genomic changes.

Indexed as

DNA MethylationAdultAgedAgingAnalysis of VarianceBlotting, SouthernCellular SenescenceCohort StudiesFemaleHumansLeukocytes, MononuclearMaleMiddle AgedPolymorphism, Restriction Fragment LengthProbabilityReference Values

Identifiers

PMID19223605
PMCPMC2657167
OpenAlexW2155428693

What OpenQuestion holds

Textmetadata
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.