Evidence map›Paper›PMID 29614968›Full record

ArticleBMC geriatrics2018

Biological clocks and physical functioning in monozygotic female twins.

Elina Sillanpää, Eija K Laakkonen, Elina Vaara, Taina Rantanen, Vuokko Kovanen, Sarianna Sipilä, Jaakko Kaprio, Miina Ollikainen

Open access · goldAbstract readTwin Study
In one paragraph

Article in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Association Between Epigenetic Clocks and Physical Functioning in Older Women: A 3-Year Follow-up.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. DNA Methylation Age and Physical and Cognitive Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  12. Review
  13. The role of DNA methylation in epigenetics of aging.Pharmacology & therapeutics · 2019
    Review
  14. 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.

Elina SillanpääGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), FIN-40014, Jyväskylä, Finland. elina.sillanpaa@jyu.fi.ORCID 0000-0001-6375-959X
Eija K LaakkonenGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), FIN-40014, Jyväskylä, Finland.
Elina VaaraDepartment of Social Research, University of Helsinki, Helsinki, Finland.
Taina RantanenGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), FIN-40014, Jyväskylä, Finland.
Vuokko KovanenGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), FIN-40014, Jyväskylä, Finland.
Sarianna SipiläGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35 (VIV), FIN-40014, Jyväskylä, Finland.
Jaakko KaprioInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Miina OllikainenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
University of Jyväskylä · FIUniversity of Helsinki · FIInstitute for Molecular Medicine Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarkers of biological aging - DNA methylation age (DNAm age) and leukocyte telomere length (LTL)- correlate strongly with chronological age across the life course. It is, however, unclear how these measures of cellular wear and tear are associated with muscle strength and functional capacity, which are known to decline with older age and are associated with mortality. We investigated if DNAm age and LTL were associated with body composition and physical functioning by examining 48 monozygotic twin sisters.

methodsWhite blood cell DNAm age (predicted years) was calculated from Illumina 450 k BeadChip methylation data using an online calculator. DNAm age acceleration was defined from the residuals derived from a linear regression model of DNAm age on chronological age. LTL was measured by qPCR. Total body percentage of fat and lean mass were estimated using bioimpedance. Physical functioning was measured by grip strength, knee extension strength and by 10 m maximal walking speed test.

resultsIn all participants, DNAm age (58.4 ± 6.6) was lower than chronological age (61.3 ± 5.9 years). Pairwise correlations of monozygotic co-twins were high for DNAm age (0.88, 95% CI 0.79, 0.97), age acceleration (0.68, 95% CI 0.30, 0.85) and LTL (0.77, 95% CI 0.60, 0.94). Increased age acceleration i.e. faster epigenetic aging compared to chronological age was associated with lower grip strength (β = - 5.3 SE 1.9 p = 0.011), but not with other measures of physical functioning or body composition. LTL was not associated with body composition or physical functioning.

conclusionsTo conclude, accelerated DNAm age is associated with lower grip strength, a biomarker known to be associated with physiological aging, and which predicts decline in physical functioning and mortality. Further studies may clarify whether epigenetic aging explains the decline in muscle strength with aging or whether DNAm age just illustrates the progress of aging.

Indexed as

Twins, MonozygoticAgingBiological ClocksBody CompositionFemaleHumansMiddle AgedMuscle StrengthWalkingEpigenetic clockMethylationPhysical functionPost-menopausalTelomeresTwin design

Identifiers

PMID29614968
PMCPMC5883300
OpenAlexW2795961830

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.