Evidence map›Paper›PMID 21083858›Full record

ReviewTraffic (Copenhagen, Denmark)2011

Peroxisome metabolism and cellular aging.

Vladimir I Titorenko, Stanley R Terlecky

Open access · bronzeAbstract readReview
In one paragraph

Review in Traffic (Copenhagen, Denmark), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
6.5field-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

90 citing papers in PubMed, 158 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Oxysterols as Biomarkers of Aging and Disease.Advances in experimental medicine and biology · 2024
    Article
  6. Review
  7. Effect ofMolecules (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Antioxidant Properties and Cytoprotective Effect ofAntioxidants (Basel, Switzerland) · 2021
    Article
  17. Review
  18. Review
  19. Review
  20. Review

30 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

2 authors at 2 institutions in 2 countries.

Vladimir I TitorenkoDepartment of Biology, Concordia University, 7141 Sherbrooke Street, West, SP Building, Office SP-501-9, Montreal, Quebec H4B1R6, Canada. vtitor@alcor.concordia.ca
Stanley R Terlecky
Concordia University · CAWayne State University · US

Funding

MOLECULAR MECHANISMS OF PEROXISOMAL PROTEIN IMPORTR01DK056299 · NIDDK · WAYNE STATE UNIVERSITY · PI TERLECKY, STANLEY RICHARD · 2000 to 2004
$1.1M
CIHRNIDDK NIH HHS R01 DK056299
6 · The paper itself

Abstract

The essential role of peroxisomes in fatty acid oxidation, anaplerotic metabolism, and hydrogen peroxide turnover is well established. Recent findings suggest that these and other related biochemical processes governed by the organelle may also play a critical role in regulating cellular aging. The goal of this review is to summarize and integrate into a model the evidence that peroxisome metabolism actually helps define the replicative and chronological age of a eukaryotic cell. In this model, peroxisomal reactive oxygen species (ROS) are seen as altering organelle biogenesis and function, and eliciting changes in the dynamic communication networks that exist between peroxisomes and other cellular compartments. At low levels, peroxisomal ROS activate an anti-aging program in the cell; at concentrations beyond a specific threshold, a pro-aging course is triggered.

Indexed as

Cellular SenescenceAnimalsFatty AcidsHumansPeroxisomesSignal TransductionFatty Acids

Identifiers

PMID21083858
PMCPMC3077116
OpenAlexW1981972734

What OpenQuestion holds

Textmetadata
LicenceTDM
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.