Evidence map›Paper›PMID 41640114›Full record

ArticleAging cell2026

Lifespan and Fecundity Impacts of Reduced Insulin Signalling Can Be Directed by Mito-Nuclear Epistasis in Drosophila.

Rita Ibrahim, Christin Froschauer, Susanne Broschk, David R Sannino, Adam J Dobson

Abstract read
In one paragraph

Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Rita IbrahimSchool of Molecular Biosciences, University of Glasgow, Glasgow, UK.
Christin FroschauerApplied Zoology, Faculty of Biology, Technische Universität Dresden, Dresden, Germany.
Susanne BroschkApplied Zoology, Faculty of Biology, Technische Universität Dresden, Dresden, Germany.
David R SanninoSchool of Molecular Biosciences, University of Glasgow, Glasgow, UK.
Adam J DobsonSchool of Molecular Biosciences, University of Glasgow, Glasgow, UK.ORCID 0000-0003-1541-927X

Funding

Erasmus+Medical Research Council MR/S033939/1Medical Research Council MR/Y019660/1University of Glasgow
6 · The paper itself

Abstract

The changing demography of human populations has motivated a search for interventions that promote healthy ageing, and especially for evolutionarily-conserved mechanisms that can be studied in lab systems to generate hypotheses about function in humans. Reduced Insulin/IGF signalling (IIS) is a leading example, which can extend healthy lifespan in a range of animals, but whether benefits and costs of reduced IIS vary genetically within species is under-studied. This information is critical for any putative translation. Here, in Drosophila, we test for genetic variation in lifespan response to a dominant-negative form of the insulin receptor, along with a metric of fecundity to evaluate corollary fitness costs/benefits. We also partition genetic variation between DNA variants in the nucleus (nDNA) and mitochondrial DNA (mtDNA), in a fully-factorial design that allows us to assess 'mito-nuclear' epistasis. We show that reduced IIS can have either beneficial or detrimental effects on lifespan, depending on the combination of mtDNA and nDNA. This suggests that, while insulin signalling has a conserved effect on ageing among species, intraspecific effects can vary genetically, and the combination of mtDNA and nDNA can act as a gatekeeper.

Indexed as

Cell NucleusDrosophilaDrosophila melanogasterEpistasis, GeneticFertilityInsulinLongevityMitochondriaSignal TransductionAnimalsDNA, MitochondrialFemaleReceptor, InsulinDNA, MitochondrialInsulinReceptor, Insulin

Identifiers

PMID41640114
PMCPMC12873451

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.