Evidence map›Paper›PMID 24636523›Full record

ArticleAging cell2014

Effects of age, sex, and genotype on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster.

Jessica M Hoffman, Quinlyn A Soltow, Shuzhao Li, Alfire Sidik, Dean P Jones, Daniel E L Promislow

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

75 citing papers in PubMed, 134 citations in OpenAlex.

  1. Metabolomic Profiling ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Tissue-specific metabolomic signatures for aRoyal Society open science · 2025
    Article
  6. Article
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  11. Misregulation of bromotyrosine compromises fertility in maleProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  13. Article
  14. Review
  15. Article
  16. Review
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  20. Article

15 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Jessica M HoffmanDepartment of Genetics, University of Georgia, Athens, GA, 30602, USA.
Quinlyn A Soltow
Shuzhao Li
Alfire Sidik
Dean P Jones
Daniel E L Promislow
Emory University · USUniversity of Georgia · US

Funding

T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
A metabolomic model of aging in the common marmosetR01AG038746 · NIA · EMORY UNIVERSITY · PI JONES, DEAN PAUL, PROMISLOW, DANIEL EDWARD · 2010 to 2014
$2.5M
NIA NIH HHS R01 AG038746NIA NIH HHS R01AG038756NIGMS NIH HHS T32 GM007103
6 · The paper itself

Abstract

Researchers have used whole-genome sequencing and gene expression profiling to identify genes associated with age, in the hope of understanding the underlying mechanisms of senescence. But there is a substantial gap from variation in gene sequences and expression levels to variation in age or life expectancy. In an attempt to bridge this gap, here we describe the effects of age, sex, genotype, and their interactions on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster. Among the 6800 features analyzed, we found that over one-quarter of all metabolites were significantly associated with age, sex, genotype, or their interactions, and multivariate analysis shows that individual metabolomic profiles are highly predictive of these traits. Using a metabolomic equivalent of gene set enrichment analysis, we identified numerous metabolic pathways that were enriched among metabolites associated with age, sex, and genotype, including pathways involving sugar and glycerophospholipid metabolism, neurotransmitters, amino acids, and the carnitine shuttle. Our results suggest that high-sensitivity metabolomic studies have excellent potential not only to reveal mechanisms that lead to senescence, but also to help us understand differences in patterns of aging among genotypes and between males and females.

Indexed as

Sex CharacteristicsAgingAmino AcidsAnimalsDiscriminant AnalysisDrosophila melanogasterFemaleGenotypeLeast-Squares AnalysisMaleMetabolic Networks and PathwaysMetabolomeNeurotransmitter AgentsPhenotypeAmino AcidsNeurotransmitter AgentsageagingDrosophila melanogastergenetic variationgenotypeheritabilitymetabolomicssexsystems biology

Identifiers

PMID24636523
PMCPMC4116462
OpenAlexW2020665084

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.