ArticlebioRxiv : the preprint server for biology2025
Selection for early reproduction leads to accelerated aging and extensive metabolic remodeling in
David L Hubert, Kenneth R Arnold, Zachary S Greenspan, Anastasia Pupo, Ryan D Robinson, Valeria V Chavarin, Thomas B Barter, Danijel Djukovic, Daniel Raftery, Zer Vue and 4 more
Abstract readPreprint
In one paragraphArticle 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
14 authors.
Zachary S GreenspanDepartment of Ecology and Evolutionary Biology, University of California, Irvine.
Anastasia PupoDepartment of Ecology and Evolutionary Biology, University of California, Irvine.
Ryan D RobinsonDepartment of Ecology and Evolutionary Biology, University of California, Irvine.
Valeria V ChavarinDepartment of Ecology and Evolutionary Biology, University of California, Irvine.
Danijel DjukovicNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington.
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington.ORCID 0000-0003-2467-8118 Zer VueDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
Antentor HintonDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.ORCID 0000-0002-7730-952X Melanie R McReynoldsDepartment of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA 16802.
Benjamin R HarrisonNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington.
Funding
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3MUniversity of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1MPRIDE: Functional and Translational Genomics of Blood DisordersR25HL106365 · NHLBI · AUGUSTA UNIVERSITY · PI PACE, BETTY SUE · 2010 to 2024
$5.2MCombining experimental evolution and molecular phenotyping to understand variation in organismal phenotypesR35GM155286 · NIGMS · OREGON STATE UNIVERSITY · PI Mark A Phillips · 2024 to 2026
$1.1MMultiplexed UPLC-MS/MS System for Advanced Target MetabolomicsS10OD021562 · OD · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2016 to 2016
$596kNHLBI NIH HHS R25 HL106365NIA NIH HHS P30 AG013280NIDDK NIH HHS P30 DK020593NIGMS NIH HHS R35 GM155286NIH HHS S10 OD021562
6 · The paper itselfAbstract
Experimental evolution studies that feature selection on life-history characters are a proven approach for studying the evolution of aging and variation in rates of senescence. Recently, the incorporation of genomic and transcriptomic approaches into this framework has led to the identification of hundreds of genes associated with different aging patterns. However, our understanding of the specific molecular mechanisms underlying these aging patterns remains limited. Here, we incorporated extensive metabolomic profiling into this framework to generate mechanistic insights into aging patterns in
Identifiers
PMID39005259
PMCPMC11244849
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