Evidence map›Paper›PMID 41299207›Full record

ArticleAging cell2026

Early-Life Climbing Stratifies the Metabolome and Mortality Risk in Genetically Identical Flies.

Benjamin R Harrison, Yangxi Sun, Tom Nonacs, Harini Shankar, Danijel Djukovic, Daniel Raftery, Daniel E L Promislow

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

7 authors.

Benjamin R HarrisonDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4268-7686
Yangxi SunDepartment of Lab Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Tom NonacsDepartment of Lab Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Harini ShankarBarnard College, New York, New York, USA.ORCID 0009-0003-8935-7638
Danijel DjukovicDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-5954-8810
Daniel RafteryDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-2467-8118
Daniel E L PromislowJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.ORCID 0000-0001-7088-4495

Funding

Metabolomics clocks as a tool to explore mechanisms of agingR01AG082696 · NIA · TUFTS UNIVERSITY BOSTON · PI Daniel Edward Promislow · 2024 to 2026
$1.9M
ImpetusNIA NIH HHS R01 AG082696NIH HHS R01AG082696U.S. Department of Agriculture 58-8050-9-004
6 · The paper itself

Abstract

Studies in laboratory organisms typically minimize all environmental and genetic variation other than the intervention of interest. In aging studies, these highly controlled conditions have yielded profound insights into aging. But even within isogenic cohorts of lab animals in controlled environments, we observe substantial variation in lifespan. Here we exploited the climbing behavior of Drosophila to study variation in mortality among isogenic populations in a controlled environment. We show that fractionating large cohorts of relatively young isogenic flies by climbing behavior predicts future mortality risk and stress sensitivity. Using metabolomics to dissect this variation, we found metabolites whose abundances differ among the fractions. We also took advantage of the large number of individuals in each fraction, and the ease with which they can be collected, to explore the covariance structure of metabolites in flies that are genetically identical, but divisible into short-lived and long-lived fractions. In doing so, we identified metabolites and metabolic pathways as candidate biomarkers of intrinsic mortality risk.

Indexed as

Drosophila melanogasterLongevityMetabolomeAgingAnimalsMaleMetabolomicscovariance networksisogenic variationmetabolomicsmortality

Identifiers

PMID41299207
PMCPMC12740087

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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.