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Protein kinetic signatures of the remodeling heart following isoproterenol stimulation
Maggie P.Y. Lam, Ding Wang, Edward Lau, David A. Liem, Allen K. Kim, Dominic C.M. Ng, Xiangbo Liang, Brian J. Bleakley, Chenguang Liu, Jason D. Tabaraki, Martin Cadeiras, Yibin Wang, Mario C. Deng, Peipei Ping
Maggie P.Y. Lam, Ding Wang, Edward Lau, David A. Liem, Allen K. Kim, Dominic C.M. Ng, Xiangbo Liang, Brian J. Bleakley, Chenguang Liu, Jason D. Tabaraki, Martin Cadeiras, Yibin Wang, Mario C. Deng, Peipei Ping
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Technical Advance Cardiology

Protein kinetic signatures of the remodeling heart following isoproterenol stimulation

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Abstract

Protein temporal dynamics play a critical role in time-dimensional pathophysiological processes, including the gradual cardiac remodeling that occurs in early-stage heart failure. Methods for quantitative assessments of protein kinetics are lacking, and despite knowledge gained from single-protein studies, integrative views of the coordinated behavior of multiple proteins in cardiac remodeling are scarce. Here, we developed a workflow that integrates deuterium oxide (2H2O) labeling, high-resolution mass spectrometry (MS), and custom computational methods to systematically interrogate in vivo protein turnover. Using this workflow, we characterized the in vivo turnover kinetics of 2,964 proteins in a mouse model of β-adrenergic–induced cardiac remodeling. The data provided a quantitative and longitudinal view of cardiac remodeling at the molecular level, revealing widespread kinetic regulations in calcium signaling, metabolism, proteostasis, and mitochondrial dynamics. We translated the workflow to human studies, creating a reference dataset of 496 plasma protein turnover rates from 4 healthy adults. The approach is applicable to short, minimal label enrichment and can be performed on as little as a single biopsy, thereby overcoming critical obstacles to clinical investigations. The protein turnover quantitation experiments and computational workflow described here should be widely applicable to large-scale biomolecular investigations of human disease mechanisms with a temporal perspective.

Authors

Maggie P.Y. Lam, Ding Wang, Edward Lau, David A. Liem, Allen K. Kim, Dominic C.M. Ng, Xiangbo Liang, Brian J. Bleakley, Chenguang Liu, Jason D. Tabaraki, Martin Cadeiras, Yibin Wang, Mario C. Deng, Peipei Ping

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Figure 6

Comparison of protein turnover and expression changes.

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Comparison of protein turnover and expression changes.
(A) Scatter plot ...
(A) Scatter plot of individual protein turnover ratios versus abundance ratios in remodeling versus normal hearts, as measured by either spectral count (top) or iBAQ (bottom). Right panels: Analysis performed only on proteins with significant changes in turnover in the remodeling hearts showed a similar lack of correlation. The lack of correlation between protein turnover and abundance changes is consistent with previous observations in the literature (41) and further corroborate the effective independence of the two measurable parameters. (B) Immunoblots (IB) against annexin II (ANXA2), annexin V (ANXA5), and lactate dehydrogenase (LDHA/C) show that for these proteins, increased turnover is associated with increased abundance after 7 or 14 days of isoproterenol (Iso). On the other hand, other tested proteins including the glycolytic enzymes aldolase A (ALDOA), GAPDH, hexokinase 1 (HK1), hexokinase 2 (HK2), pyruvate dehydrogenase (PDH), phosphoglycerate mutase 1 (PGAM1), and pyruvate kinase (PKM1/2) did not show increased abundance, suggesting that their accelerated turnover is independent of upregulated expression. kIso/k, fold-change of turnover rates in remodeling versus normal hearts. (C) The independence between changes in protein turnover and abundance is consistent with the notion that both synthesis and degradation contribute to the overall protein pool size.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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