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Smith JN, Tyrrell KJ, Hansen JR, Thomas DG, Murphree TA, Shukla A, Luders T, Madden JM, Li Y, Wright AT, Piehowski PD. Plasma Protein Turnover Rates in Rats Using Stable Isotope Labeling, Global Proteomics, and Activity-Based Protein Profiling. Anal Chem 2017; 89:13559-13566. [PMID: 29164873 DOI: 10.1021/acs.analchem.7b03984] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Protein turnover is important for general health on cellular and organism scales providing a strategy to replace old, damaged, or dysfunctional proteins. Protein turnover also informs of biomarker kinetics, as a better understanding of synthesis and degradation of proteins increases the clinical utility of biomarkers. Here, turnover rates of plasma proteins in rats were measured in vivo using a pulse-chase stable isotope labeling experiment. During the pulse, rats (n = 5) were fed 13C6-labeled lysine ("heavy") feed for 23 days to label proteins. During the chase, feed was changed to an unlabeled equivalent feed ("light"), and blood was repeatedly sampled from rats over 10 time points for 28 days. Plasma samples were digested with trypsin and analyzed with liquid chromatography-tandem mass spectrometry (LC-MS/MS). MaxQuant was used to identify peptides and proteins and quantify heavy/light lysine ratios. A system of ordinary differential equations was used to calculate protein turnover rates. Using this approach, 273 proteins were identified, and turnover rates were quantified for 157 plasma proteins with half-lives ranging 0.3-103 days. For the ∼70 most abundant proteins, variability in turnover rates among rats was low (median coefficient of variation: 0.09). Activity-based protein profiling was applied to pooled plasma samples to enrich serine hydrolases using a fluorophosphonate (FP2) activity-based probe. This enrichment resulted in turnover rates for an additional 17 proteins. This study is the first to measure global plasma protein turnover rates in rats in vivo, measure variability of protein turnover rates in any animal model, and utilize activity-based protein profiling for enhancing turnover measurements of targeted, low-abundant proteins, such as those commonly used as biomarkers. Measured protein turnover rates will be important for understanding of the role of protein turnover in cellular and organism health as well as increasing the utility of protein biomarkers through better understanding of processes governing biomarker kinetics.
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Affiliation(s)
- Jordan Ned Smith
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Kimberly J Tyrrell
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Joshua R Hansen
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Dennis G Thomas
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Taylor A Murphree
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Anil Shukla
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Teresa Luders
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - James M Madden
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Yunying Li
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Aaron T Wright
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
| | - Paul D Piehowski
- Pacific Northwest National Laboratory , Richland, Washington 99354, United States
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Anthony TG. Mechanisms of protein balance in skeletal muscle. Domest Anim Endocrinol 2016; 56 Suppl:S23-32. [PMID: 27345321 PMCID: PMC4926040 DOI: 10.1016/j.domaniend.2016.02.012] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 02/23/2016] [Accepted: 02/29/2016] [Indexed: 01/07/2023]
Abstract
Increased global demand for adequate protein nutrition against a backdrop of climate change and concern for animal agriculture sustainability necessitates new and more efficient approaches to livestock growth and production. Anabolic growth is achieved when rates of new synthesis exceed turnover, producing a positive net protein balance. Conversely, deterioration or atrophy of lean mass is a consequence of a net negative protein balance. During early life and periods of growth, muscle mass is driven by increases in protein synthesis at the level of mRNA translation. Throughout life, muscle mass is further influenced by degradative processes such as autophagy and the ubiquitin proteasome pathway. Multiple signal transduction networks guide and coordinate these processes alongside quality control mechanisms to maintain protein homeostasis (proteostasis). Genetics, hormones, and environmental stimuli each influence proteostasis control, altering capacity and/or efficiency of muscle growth. An overview of recent findings and current methods to assess muscle protein balance and proteostasis is presented. Current efforts to identify novel control points have the potential through selective breeding design or development of hormetic strategies to better promote growth and health span during environmental stress.
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Affiliation(s)
- T G Anthony
- Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08901, USA.
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