Evidence map›Paper›PMID 36099490›Full record

ArticleJournal of proteome research2022

Utilizing Nonequilibrium Isotope Enrichments to Dramatically Increase Turnover Measurement Ranges in Single Biopsy Samples from Humans.

Bradley C Naylor, Christian N K Anderson, Marcus Hadfield, David H Parkinson, Austin Ahlstrom, Austin Hannemann, Chad R Quilling, Kyle J Cutler, Russell L Denton, Robert Adamson and 7 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Kinetic Lipidomics: QuantifyingbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. 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

17 authors.

Bradley C NaylorDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Christian N K AndersonDepartment of Physics and Astronomy, Brigham Young University, Provo, Utah 84602, United States.
Marcus HadfieldDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
David H ParkinsonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Austin AhlstromDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Austin HannemannDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Chad R QuillingDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Kyle J CutlerDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Russell L DentonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Robert AdamsonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Thomas E AngelIn-vitro/In-vivo Translation Platform Group, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States.ORCID 0000-0002-1601-3151
Rebecca S BurlettDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Paul S HafenDepartment of Exercise Sciences, Brigham Young University, Provo, Utah 84602, United States.
John C DallonDepartment of Mathematics, Brigham Young University, Provo, Utah 84602, United States.
Mark K TranstrumDepartment of Physics and Astronomy, Brigham Young University, Provo, Utah 84602, United States.
Robert D HyldahlDepartment of Exercise Sciences, Brigham Young University, Provo, Utah 84602, United States.
John C PriceDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-6780-5247

Funding

Biochemical Consequences of Regiospecific Metabolic Bias in the BrainR01AG066874 · NIA · BRIGHAM YOUNG UNIVERSITY · PI PRICE, JOHN C. · 2020 to 2024
$3.0M
NIA NIH HHS R01 AG066874
6 · The paper itself

Abstract

The synthesis of new proteins and the degradation of old proteins in vivo can be quantified in serial samples using metabolic isotope labeling to measure turnover. Because serial biopsies in humans are impractical, we set out to develop a method to calculate the turnover rates of proteins from single human biopsies. This method involved a new metabolic labeling approach and adjustments to the calculations used in previous work to calculate protein turnover. We demonstrate that using a nonequilibrium isotope enrichment strategy avoids the time dependent bias caused by variable lag in label delivery to different tissues observed in traditional metabolic labeling methods. Turnover rates are consistent for the same subject in biopsies from different labeling periods, and turnover rates calculated in this study are consistent with previously reported values. We also demonstrate that by measuring protein turnover we can determine where proteins are synthesized. In human subjects a significant difference in turnover rates differentiated proteins synthesized in the salivary glands versus those imported from the serum. We also provide a data analysis tool, DeuteRater-H, to calculate protein turnover using this nonequilibrium metabolic

Indexed as

IsotopesProteinsBiopsyHumansIsotope LabelingProteolysisIsotopesProteinsdeuterated waterexperimental designhumanmetabolic labelingmuscleprotein turnoversalivaserum

Identifiers

PMID36099490
PMCPMC9639613

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.