ArticleProteomics. Clinical applications2014
Heavy hitting: Using water to label humans.
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.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
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.
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Registered trials
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