Evidence map›Paper›PMID 25044642›Full record

ArticleProteomics. Clinical applications2014

Heavy hitting: Using water to label humans.

Yonggang Ma, Andriy Yabluchanskiy, Merry L Lindsey

Abstract read
In one paragraph

Article in Proteomics. Clinical applications, 2014. 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

3 authors.

Yonggang MaSan Antonio Cardiovascular Proteomics Center and Mississippi Center for Heart Research, Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA.
Andriy Yabluchanskiy
Merry L Lindsey

Funding

STRUCTURAL VASCULAR ADAPTATION OF THE MICROCIRCULATIONP01HL051971 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI HALL, JOHN E · 1993 to 2018
$39.4M
The role of leptin in autoimmune-associated hypertensionP20GM104357 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI TAYLOR, ERIN BASSFORD · 2013 to 2022
$23.4M
The Role of Macrophage-derived MMPs in LV RemodelingR01HL075360 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LINDSEY, MERRY L. · 2004 to 2018
$5.4M
Neutrophil Polarization Following Myocardial InfarctionI01BX000505 · VA · VETERANS HEALTH ADMINISTRATION · PI LINDSEY, MERRY L. · 2009 to 2024
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BLRD VA I01 BX000505NHLBI NIH HHS HHSN268201000036CNHLBI NIH HHS HL051971NHLBI NIH HHS HL075360NHLBI NIH HHS P01 HL051971NHLBI NIH HHS R01 HL075360NIGMS NIH HHS GM104357NIGMS NIH HHS P20 GM104357
6 · The paper itself

Abstract

Monitoring protein dynamics, compared to measuring static protein expression profiles taken with snapshot evaluations, have recently been the focus of proteomics studies examining tissue or blood samples where time course changes occur. Using deuterium oxide ((2) H2 O) to label amino acids is a useful method to monitor protein turnover rates. The synthesis rate for individual proteins is calculated from the rate of (2) H incorporation into specific proteins analyzed by high resolution MS. In this issue, Wang and colleagues measured the plasma protein turnover dynamics in healthy humans by in vivo (2) H2 O labeling [Wang, D. et al., Proteomics Clin. Appl. 2014, 8, 610-619]. The authors developed and validated a safe and accessible (2) H2 O administration protocol to record the turnover dynamics of 542 plasma proteins using MS. Their study demonstrates a promising new way to evaluate plasma protein dynamics in clinical trials where such knowledge could help for prognosis and evaluating treatment efficacy.

Indexed as

AnimalsBlood ProteinsDeuterium OxideHumansIsotope LabelingProteomicsRatsSafetyBlood ProteinsDeuterium OxideDeuterium oxideMatrix metalloproteinaseMSProtein

Identifiers

PMID25044642
PMCPMC4230989

What OpenQuestion holds

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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.