Evidence map›Paper›PMID 26015435›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2015

Tracer-based estimates of protein flux in cases of incomplete product renewal: evidence and implications of heterogeneity in collagen turnover.

Haihong Zhou, Sheng-Ping Wang, Kithsiri Herath, Takhar Kasumov, Rovshan G Sadygov, Stephen F Previs, David E Kelley

Abstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Brain Protein Synthesis Rates in the UM-HET3 Mouse Following Treatment With Rapamycin or Rapamycin With Metformin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  7. Review
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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.

Haihong ZhouCardiometabolic Disease, Merck Research Laboratories, Kenilworth, New Jersey;
Sheng-Ping WangCardiometabolic Disease, Merck Research Laboratories, Kenilworth, New Jersey;
Kithsiri HerathCardiometabolic Disease, Merck Research Laboratories, Kenilworth, New Jersey;
Takhar KasumovDepartment of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio; and.
Rovshan G SadygovDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas.
Stephen F PrevisCardiometabolic Disease, Merck Research Laboratories, Kenilworth, New Jersey; stephen_previs@merck.com.
David E KelleyCardiometabolic Disease, Merck Research Laboratories, Kenilworth, New Jersey;

Funding

Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MSR01GM112044 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SADYGOV, ROVSHAN G · 2015 to 2023
$2.7M
NIGMS NIH HHS 1-R01-GM-112044-01A1NIGMS NIH HHS R01 GM112044
6 · The paper itself

Abstract

The synthesis of various molecules can be estimated by measuring the incorporation of a labeled precursor into a product of interest. Unfortunately, a central problem in many studies has been an inability to estimate the intracellular dilution of the precursor and therein correctly calculate the synthesis of the product; it is generally assumed that measuring the true product labeling is straightforward. We initiated a study to examine liver collagen synthesis and identified an apparent problem with assumptions regarding measurements of the product labeling. Since it is well known that collagen production is relatively slow, we relied on the use of [(2)H]H2O labeling (analogous to a primed infusion) and sampled animals over the course of 16 days. Although the water labeling (the precursor) remained stable and we observed the incorporation of labeled amino acids into collagen, the asymptotic protein labeling was considerably lower than what would be expected based on the precursor labeling. Although this observation is not necessarily surprising (i.e., one might expect that a substantial fraction of the collagen pool would appear "inert" or turn over at a very slow rate), its implications are of interest in certain areas. Herein, we discuss a novel situation in which tracers are used to quantify rates of flux under conditions where a product may not undergo complete replacement. We demonstrate how heterogeneity in the product pool can lead one to the wrong conclusions regarding estimates of flux, and we outline an approach that may help to minimize errors surrounding data interpretation.

Indexed as

Protein BiosynthesisAmino AcidsAnimalsCollagenDeuteriumHumansIndicators and ReagentsIsotope LabelingProtein PrecursorsProtein TransportWaterAmino AcidsCollagenDeuteriumIndicators and ReagentsProtein PrecursorsWatercollagenkineticsmass spectrometryprotein turnoverstable isotopes

Identifiers

PMID26015435
PMCPMC4596733

What OpenQuestion holds

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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.