Evidence map›Paper›PMID 39651232›Full record

ArticlebioRxiv : the preprint server for biology2025

Deep Learning of Cellular Metabolic Flux Distributions Predicts Lifespan.

Tyler A U Hilsabeck, Shane L Rea

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tyler A U HilsabeckThe Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA 94945.ORCID 0000-0002-1690-4704
Shane L ReaDepartment of Pathology, University of Washington, Seattle, WA 98195, USA.

Funding

Training in Basic Research on Aging and Age-Related DiseaseT32AG000266 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Lisa M Ellerby · 1998 to 2026
$13.8M
Genomic Instability-Induced Senescence in Brain Aging and Alzheimer's DiseaseRF1AG068908 · NIA · RBHS -CANCER INSTITUTE OF NEW JERSEY · PI CAMPISI, JUDITH, MONTAGNA, CRISTINA · 2020 to 2020
$1.8M
The role of natural genetic variants in nutrient-dependent changes in healthspan using D. melanogasterR21AG054121 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI BREM, RACHEL BETH, KAPAHI, PANKAJ · 2017 to 2018
$825k
Molecular Mechanisms of Lifespan Extension by Dietary Restriction in DrosophilaR56AG038688 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI KAPAHI, PANKAJ · 2017 to 2017
$612k
Conserved role of uric acid and purine metabolites in longevity and healthspanF31AG062112 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI HILSABECK, TYLER ALAN UNADKAT · 2018 to 2020
$87k
NIA NIH HHS F31 AG062112NIA NIH HHS R21 AG054121NIA NIH HHS R56 AG038688NIA NIH HHS RF1 AG068908NIA NIH HHS T32 AG000266
6 · The paper itself

Abstract

It is a common observation that individuals within a species age at different rates. Variation in both genetics and environmental interaction are generally thought responsible. Surprisingly, even genetically identical organisms cultured under environmentally homogeneous conditions age at different rates, implying a more fundamental cause of aging. Here we have examined the basis for lifespan variance in haploid, single-celled yeast of

Identifiers

PMID39651232
PMCPMC11623549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.