Evidence map›Paper›PMID 43006760›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Deuterium-Oxide Labelling Proteomics Illustrates the Importance of Sample Timing and the Limitations of Serial Biopsies.

Colleen L O'Reilly, Michael E Taylor, Kamil A Kobak, Ying Ann Chiao, Rovshan G Sadygov, Michael T Kinter, Benjamin F Miller

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Colleen L O'ReillyAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.ORCID https://orcid.org/0000-0002-9948-9410
Michael E TaylorAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.ORCID https://orcid.org/0009-0001-0065-5352
Kamil A KobakAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.
Ying Ann ChiaoAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.ORCID https://orcid.org/0000-0002-1256-4335
Rovshan G SadygovDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA.ORCID https://orcid.org/0000-0003-1590-155X
Michael T KinterAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.
Benjamin F MillerAging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.ORCID https://orcid.org/0000-0003-3283-0685

Funding

Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI WILLARD M FREEMAN · 2015 to 2026
$13.9M
Protein turnover estimation from fragment ions and precursor enrichment in heavy water labeled LC-MS experimentsR01GM149762 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rovshan G Sadygov · 2024 to 2026
$1.1M
Molecular Mechanisms of Rapamycin - Induced Reversal of Cardiac AgingR00AG051735 · NIA · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI CHIAO, YING ANN · 2019 to 2021
$747k
Determining the influence of metformin treatment on mitochondrial calcium flux during aerobic exercise training of healthy, aging ratsF32AG087622 · NIA · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI O'REILLY, COLLEEN LOUISE · 2024 to 2025
$125k
BLRD VA IK6 BX007150NIA NIH HHS F32 AG087622NIA NIH HHS P30 AG050911NIA NIH HHS R00 AG051735NIGMS NIH HHS R01 GM149762NIH HHS 5F32AG087622NIH HHS P30AG050911NIH HHS R00AG051735NIH HHS R01GM149762Veterans Affairs IK6BX007150
6 · The paper itself

Abstract

backgroundMeasuring in vivo protein synthesis is important for testing how interventions, disease and ageing remodel the proteome. A limitation of approaches using short-term infusions of labelled amino acids was that long-term changes had to be extrapolated from short-term measurements. Deuterium oxide (D

methodsTo test this hypothesis, we used a five-timepoint (0d, 4d, 15d, 30d and 45d) D

resultsIn a 4-day period representing a baseline period, the synthesis rate of summed proteins was 2.09%/day. When the period was extended to 15, 30 or 45 days, the synthesis rates of summed proteins declined to 1.64%, 1.31% and 1.10%/day, respectively. The contribution of slow and fast proteins to these rates changed as a function of time. The fast and slow proteins accounted for 4.3% and 34.0% of measured proteome abundance, respectively. From Day 0 to Day 4, fast and slow proteins contributed 19.8% and 20.2% of the calculated FSR, respectively. By Day 45, these contributions shifted to 6.5% and 28.8%. Further, we demonstrated that the assumption that the fraction new of proteins linearly increases to 100% new is not true for the majority of proteins. Instead, most proteins plateaued at some point less than 100%, which stops their individual contribution to a summed protein synthesis rate.

conclusionsIn continuous long-term labelling studies, biopsy timing changes the measured bulk FSR because the relative contributions of individual proteins to that measurement over time. Fast proteins that plateau early decrease their contribution as labelling time increases. These findings indicate that studies with different labelling periods, or multiple biopsies over time during continuous labelling of days to weeks cannot be compared to biopsies taken at other times in the labelling period.

Indexed as

Deuterium OxideProteomicsAnimalsBiopsyIsotope LabelingMaleMiceMuscle, SkeletalProteomeTandem Mass SpectrometryTime FactorsDeuterium OxideProteomebiopsydeuterium oxideproteomicsskeletal musclestable isotopes

Identifiers

PMID43006760
PMCPMC13749624

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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.