Evidence map›Paper›PMID 21980307›Full record

ArticlePLoS genetics2011

MicroRNA predictors of longevity in Caenorhabditis elegans.

Zachary Pincus, Thalyana Smith-Vikos, Frank J Slack

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

110 citing papers in PubMed, 194 citations in OpenAlex.

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  16. Hypertrophic cardiomyopathy inThe journal of cardiovascular aging · 2024
    Article
  17. Article
  18. Article
  19. Genomic Instability and Epigenetic Changes during Aging.International journal of molecular sciences · 2023
    Review
  20. Review

50 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

3 authors at 1 institution in 1 country.

Zachary PincusDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.
Thalyana Smith-Vikos
Frank J Slack
Yale University · US

Funding

Training in Genomics and Proteomics TechnologiesT32HG003198 · NHGRI · YALE UNIVERSITY · PI BREAKER, RONALD R · 2004 to 2015
$4.9M
MicroRNAs in agingR01AG033921 · NIA · YALE UNIVERSITY · PI SLACK, FRANK J. · 2009 to 2018
$3.3M
NHGRI NIH HHS T32 HG003198NIA NIH HHS R01 AG033921
6 · The paper itself

Abstract

Neither genetic nor environmental factors fully account for variability in individual longevity: genetically identical invertebrates in homogenous environments often experience no less variability in lifespan than outbred human populations. Such variability is often assumed to result from stochasticity in damage accumulation over time; however, the identification of early-life gene expression states that predict future longevity would suggest that lifespan is least in part epigenetically determined. Such "biomarkers of aging," genetic or otherwise, nevertheless remain rare. In this work, we sought early-life differences in organismal robustness in unperturbed individuals and examined the utility of microRNAs, known regulators of lifespan, development, and robustness, as aging biomarkers. We quantitatively examined Caenorhabditis elegans reared individually in a novel apparatus and observed throughout their lives. Early-to-mid-adulthood measures of homeostatic ability jointly predict 62% of longevity variability. Though correlated, markers of growth/muscle maintenance and of metabolic by-products ("age pigments") report independently on lifespan, suggesting that graceful aging is not a single process. We further identified three microRNAs in which early-adulthood expression patterns individually predict up to 47% of lifespan differences. Though expression of each increases throughout this time, mir-71 and mir-246 correlate with lifespan, while mir-239 anti-correlates. Two of these three microRNA "biomarkers of aging" act upstream in insulin/IGF-1-like signaling (IIS) and other known longevity pathways, thus we infer that these microRNAs not only report on but also likely determine longevity. Thus, fluctuations in early-life IIS, due to variation in these microRNAs and from other causes, may determine individual lifespan.

Indexed as

AnimalsCaenorhabditis elegansEpigenesis, GeneticGene Expression ProfilingGenetic MarkersInsulinInsulin-Like Growth Factor ILongevityMicroRNAsSignal TransductionStatistics as TopicGenetic MarkersInsulinInsulin-Like Growth Factor IMicroRNAsMIRN239 microRNA, C elegansMIRN246 microRNA, C elegansMIRN71 microRNA, C elegansMIRN74 microRNA, C elegans

Identifiers

PMID21980307
PMCPMC3183074
OpenAlexW2042474311

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.