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Usage Information

Mitochondrial protein hyperacetylation in the failing heart
Julie L. Horton, Ola J. Martin, Ling Lai, Nicholas M. Riley, Alicia L. Richards, Rick B. Vega, Teresa C. Leone, David J. Pagliarini, Deborah M. Muoio, Kenneth C. Bedi Jr., Kenneth B. Margulies, Joshua J. Coon, Daniel P. Kelly
Julie L. Horton, Ola J. Martin, Ling Lai, Nicholas M. Riley, Alicia L. Richards, Rick B. Vega, Teresa C. Leone, David J. Pagliarini, Deborah M. Muoio, Kenneth C. Bedi Jr., Kenneth B. Margulies, Joshua J. Coon, Daniel P. Kelly
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Research Article Cardiology Metabolism

Mitochondrial protein hyperacetylation in the failing heart

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Abstract

Myocardial fuel and energy metabolic derangements contribute to the pathogenesis of heart failure. Recent evidence implicates posttranslational mechanisms in the energy metabolic disturbances that contribute to the pathogenesis of heart failure. We hypothesized that accumulation of metabolite intermediates of fuel oxidation pathways drives posttranslational modifications of mitochondrial proteins during the development of heart failure. Myocardial acetylproteomics demonstrated extensive mitochondrial protein lysine hyperacetylation in the early stages of heart failure in well-defined mouse models and the in end-stage failing human heart. To determine the functional impact of increased mitochondrial protein acetylation, we focused on succinate dehydrogenase A (SDHA), a critical component of both the tricarboxylic acid (TCA) cycle and respiratory complex II. An acetyl-mimetic mutation targeting an SDHA lysine residue shown to be hyperacetylated in the failing human heart reduced catalytic function and reduced complex II–driven respiration. These results identify alterations in mitochondrial acetyl-CoA homeostasis as a potential driver of the development of energy metabolic derangements that contribute to heart failure.

Authors

Julie L. Horton, Ola J. Martin, Ling Lai, Nicholas M. Riley, Alicia L. Richards, Rick B. Vega, Teresa C. Leone, David J. Pagliarini, Deborah M. Muoio, Kenneth C. Bedi Jr., Kenneth B. Margulies, Joshua J. Coon, Daniel P. Kelly

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Usage data is cumulative from April 2025 through April 2026.

Usage JCI PMC
Text version 1,758 289
PDF 230 53
Figure 710 0
Supplemental data 71 15
Citation downloads 167 0
Totals 2,936 357
Total Views 3,293
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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