Evidence map›Paper›PMID 28795262›Full record

ReviewBiogerontology2017

Growth factor, energy and nutrient sensing signalling pathways in metabolic ageing.

Lucia Bettedi, Lazaros C Foukas

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biogerontology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

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  12. Taurine deficiency as a driver of aging.Science (New York, N.Y.) · 2023
    Article
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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 4 countries.

Lucia BettediInstitute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London, UK.
Lazaros C FoukasInstitute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London, UK. l.foukas@ucl.ac.uk.ORCID 0000-0002-6551-8789
National Institutes of Health · USUniversity College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

The field of the biology of ageing has received increasing attention from a biomedical point of view over the past decades. The main reason has been the realisation that increases in human population life expectancy are accompanied by late onset diseases. Indeed, ageing is the most important risk factor for a number of neoplastic, neurodegenerative and metabolic pathologies. Advances in the knowledge of the genetics of ageing, mainly through research in model organisms, have implicated various cellular processes and the respective signalling pathways that regulate them in cellular and organismal ageing. Associated with ageing is a dysregulation of metabolic homeostasis usually manifested as age-related obesity, diminished insulin sensitivity and impaired glucose and lipid homeostasis. Metabolic deterioration contributes to the ageing phenotype and metabolic pathologies are thought to be one of the main factors limiting the potential for lifespan extension. Great efforts have been directed towards identifying pharmacological interventions with the potential to improve healthspan and a number of natural and synthetic compounds have shown promise in achieving beneficial metabolic effects.

Indexed as

Energy MetabolismFoodSignal TransductionAgingAnimalsCaloric RestrictionHumansIntercellular Signaling Peptides and ProteinsMiceIntercellular Signaling Peptides and ProteinsAgeingDiabetesInsulin resistanceMetabolismObesityPI3K

Identifiers

PMID28795262
PMCPMC5684302
OpenAlexW2742735731

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.