Evidence map›Paper›PMID 39135281›Full record

ArticleAging cell2024

Wide-ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster.

Benjamin R Harrison, Mitchell B Lee, Shufan Zhang, Bill Young, Kenneth Han, Jiranut Sukomol, Vanessa Paus, Sarina Tran, David Kim, Hannah Fitchett and 7 more

Abstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Tissue-specific metabolomic signatures for aRoyal Society open science · 2025
    Article
  4. 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

17 authors.

Benjamin R HarrisonDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0002-4268-7686
Mitchell B LeeOra Biomedical, Inc., Tukwila, Washington, USA.
Shufan ZhangDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Bill YoungDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Kenneth HanDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Jiranut SukomolDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Vanessa PausDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Sarina TranDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
David KimDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Hannah FitchettDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Yu-Chen PanDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Philmon TesfayeDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Alia W JohnsonDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0009-0002-9444-275X
Xiaqing ZhaoDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Danijel DjukovicNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Daniel E L PromislowDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0001-7088-4495

Funding

Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
Biological Mechanisms of Healthy Aging Training GrantT32AG066574 · NIA · UNIVERSITY OF WASHINGTON · PI David J. Marcinek, Jessica E Young · 2020 to 2026
$5.3M
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
Multiplexed UPLC-MS/MS System for Advanced Target MetabolomicsS10OD021562 · OD · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2016 to 2016
$596k
Using metabolomics to identify mechanisms of natural variation in agingR56AG049494 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD, VILLEN, JUDIT · 2022 to 2022
$319k
NIA NIH HHS R56 AG049494NIA NIH HHS T32 AG052354NIA NIH HHS T32 AG066574NIH HHS 1S10OD021562-01NIH HHS 2R56AG049494-06A1NIH HHS S10 OD021562NIH HHS T32AG052354USDA-ARS Cooperative agreement 58-8050-9-004
6 · The paper itself

Abstract

The progress made in aging research using laboratory organisms is undeniable. Yet, with few exceptions, these studies are conducted in a limited number of isogenic strains. The path from laboratory discoveries to treatment in human populations is complicated by the reality of genetic variation in nature. To model the effect of genetic variation on the action of the drug rapamycin, here we use the growth of Drosophila melanogaster larvae. We screened 140 lines from the Drosophila Genetic References Panel for the extent of developmental delay and found wide-ranging variation in their response, from lines whose development time is nearly doubled by rapamycin, to those that appear to be completely resistant. Sensitivity did not associate with any single genetic marker, nor with any gene. However, variation at the level of genetic pathways was associated with rapamycin sensitivity and might provide insight into sensitivity. In contrast to the genetic analysis, metabolomic analysis showed a strong response of the metabolome to rapamycin, but only among the sensitive larvae. In particular, we found that rapamycin altered levels of amino acids in sensitive larvae, and in a direction strikingly similar to the metabolome response to nutrient deprivation. This work demonstrates the need to evaluate interventions across genetic backgrounds and highlights the potential of omic approaches to reveal biomarkers of drug efficacy and to shed light on mechanisms underlying sensitivity to interventions aimed at increasing lifespan.

Indexed as

Drosophila melanogasterGenetic VariationSirolimusAnimalsLarvaSirolimusDrosophilametabolomicsmTORnatural variationrapamycin

Identifiers

PMID39135281
PMCPMC11561674

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.