Evidence map›Paper›PMID 23511462›Full record

ArticleNature communications2013

Telomeres shorten at equivalent rates in somatic tissues of adults.

Lily Daniali, Athanase Benetos, Ezra Susser, Jeremy D Kark, Carlos Labat, Masayuki Kimura, Kunji Desai, Mark Granick, Abraham Aviv

Abstract read
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 367 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
367citing papers in PubMed, 9 pooled it
–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

367 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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307 more citing papers are in PubMed but not listed here.

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

9 authors.

Lily DanialiDivision of Plastic Surgery, Department of Surgery, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey 07103, USA.
Athanase Benetos
Ezra Susser
Jeremy D Kark
Carlos Labat
Masayuki Kimura
Kunji Desai
Mark Granick
Abraham Aviv

Funding

EVOLUTION OF CARDIOVASCULAR RISK WITH NORMAL AGINGR01AG016592 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2000 to 2015
$11.7M
Jerusalem Perinatal Cohort Schizophrenia Study IIR01MH059114 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MALASPINA, DOLORES · 1999 to 2011
$7.3M
Determinants of Leukocyte Telomere Length at BirthR01HD071180 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AVIV, ABRAHAM, FACTOR-LITVAK, PAM R · 2012 to 2016
$3.3M
Leukocyte TelomerE Dynamics, Gender, Menopause, Insulin Resistance and SurvivalR01AG030678 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI AVIV, ABRAHAM · 2009 to 2013
$2.2M
NIA NIH HHS AG030678NIA NIH HHS AG16592NIA NIH HHS R01 AG016592NIA NIH HHS R01 AG030678NICHD NIH HHS HD071180NIMH NIH HHS MH059114NIMH NIH HHS R01 MH059114
6 · The paper itself

Abstract

Telomere shortening in somatic tissues largely reflects stem cell replication. Previous human studies of telomere attrition were predominantly conducted on leukocytes. However, findings in leukocytes cannot be generalized to other tissues. Here we measure telomere length in leukocytes, skeletal muscle, skin and subcutaneous fat of 87 adults (aged 19-77 years). Telomeres are longest in muscle and shortest in leukocytes, yet are strongly correlated between tissues. Notably, the rates of telomere shortening are similar in the four tissues. We infer from these findings that differences in telomere length between proliferative (blood and skin) and minimally proliferative tissues (muscle and fat) are established during early life, and that in adulthood, stem cells of the four tissues replicate at a similar rate.

Indexed as

TelomereAdolescentAdultAgedAgingFemaleHumansMaleMiddle Aged

Identifiers

PMID23511462
PMCPMC3615479

What OpenQuestion holds

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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.