Evidence map›Paper›PMID 25446976›Full record

ArticleExperimental gerontology2015

Clinical strategies and animal models for developing senolytic agents.

James L Kirkland, Tamara Tchkonia

Abstract read
In one paragraph

Article in Experimental gerontology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
–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

94 citing papers in PubMed.

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34 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.

James L KirklandMayo Clinic Robert and Arlene Kogod Center on Aging, 200 First Street, S.W., Rochester, MN 55905, United States. Electronic address: Kirkland.james@mayo.edu.
Tamara TchkoniaMayo Clinic Robert and Arlene Kogod Center on Aging, 200 First Street, S.W., Rochester, MN 55905, United States.

Funding

Systems Biology and Bioinformatics CoreP01AG041122 · NIA · MAYO CLINIC ROCHESTER · PI CAMPISI, JUDITH · 2012 to 2016
$9.8M
Effect of Aging on Preadipocyte DifferentiationR01AG013925 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 1997 to 2012
$3.7M
VITAMIN E AND INFECTION IN THE ELDERLYR01AG013975 · NIA · TUFTS UNIVERSITY BOSTON · PI MEYDANI, SIMIN NIKBIN · 1997 to 2001
$902k
Geroscience NetworkR24AG044396 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 2013 to 2015
$684k
NIA NIH HHS AG013975NIA NIH HHS AG044396NIA NIH HHS P01 AG041122NIA NIH HHS R01 AG013925NIA NIH HHS R24 AG044396
6 · The paper itself

Abstract

Aging is associated with increasing predisposition to multiple chronic diseases. One fundamental aging process that is often operative at sites of the pathology underlying chronic age-related diseases is cellular senescence. Small molecule senolytic agents are being developed. For successful drug development: 1) appropriate animal models of human age-related diseases need to be devised. 2) Models have to be made in which it can be proven that beneficial phenotypic effects are actually caused through clearing senescent cells by putative senolytic agents, as opposed to "off-target" effects of these agents on non-senescent cells. 3) Models are needed to test efficacy of drugs and to uncover potential side effects of senolytic agents. Development of the optimal animal models and clinical trial paradigms for senolytic agents warrants an intensive effort, since senolytic agents, if successful in delaying, preventing, alleviating, or reversing age-related diseases as a group would be transformative.

Indexed as

Models, AnimalAgingAnimalsCellular SenescenceChronic DiseaseDrug DiscoveryHumansPersons with DisabilitiesCellular senescenceHealthspanSenescence-associated secretory phenotypeSenolytic

Identifiers

PMID25446976
PMCPMC4412760

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.