Evidence map›Paper›PMID 30915631›Full record

ReviewGeroScience2019

Running out of developmental program and selfish anti-aging: a new hypothesis explaining the aging process in primates.

Andrej Podlutsky

Open access · bronzeAbstract readReview
In one paragraph

Review in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Insights from evolutionarily relevant models for human ageing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
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

1 author at 1 institution in 1 country.

Andrej PodlutskyCollege of Natural Science and Mathematics, University of Alaska Fairbanks, Arctic Health Research Building, 2W04, Fairbanks, AK, 99775-7000, USA. apodlutsky@alaska.edu.ORCID 0000-0001-7452-6425
University of Alaska Fairbanks · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Of the three complementary theories of aging, two (mutation accumulation and antagonistic pleiotropy) were formulated over fifty years ago before the introduction of molecular biology, and the third (disposable soma) is over thirty years old. Despite rigorous research in the past fifty years, none have gained substantial experimental support. Here, I review these theories and introduce a new hypothesis called the selfish anti-aging (SAA). Aging happens because natural selection is indifferent to the organism's life beyond reproduction; however, many mammalian species acquired anti-aging genes, which are providing instructions following completion of developmental, ontogeny, program. Such instructor-genes might be responsible for the elongation of lifespans of primates as a byproduct of parental care program. According to the SAA hypothesis, the animal models used in aging research could be divided into three groups, based on the degree of perceived presence and action of instructor-genes in each group. This new hypothesis is grounded in evolutionary theory and describes the unique primate aging process.

Indexed as

AgingAnimalsBiological EvolutionForecastingGeriatricsHumansLongevityModels, AnimalPrimatesReactive Oxygen SpeciesRepetitive Sequences, Nucleic AcidSelection, GeneticReactive Oxygen SpeciesAgingAging theoriesAntagonistic pleiotropyDisposable somaEvolution of agingi-geneInstructor-geneMinimum lifespan requirementMutation accumulationSelfish anti-aging

Identifiers

PMID30915631
PMCPMC6544737
OpenAlexW2923302386

What OpenQuestion holds

Textmetadata
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.