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Usage Information

HDAC9 complex inhibition improves smooth muscle–dependent stenotic vascular disease
Christian L. Lino Cardenas, Chase W. Kessinger, Elizabeth Chou, Brian Ghoshhajra, Ashish S. Yeri, Saumya Das, Neal L. Weintraub, Rajeev Malhotra, Farouc A. Jaffer, Mark E. Lindsay
Christian L. Lino Cardenas, Chase W. Kessinger, Elizabeth Chou, Brian Ghoshhajra, Ashish S. Yeri, Saumya Das, Neal L. Weintraub, Rajeev Malhotra, Farouc A. Jaffer, Mark E. Lindsay
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Research Article Cardiology

HDAC9 complex inhibition improves smooth muscle–dependent stenotic vascular disease

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Abstract

Patients with heterozygous missense mutations in the ACTA2 or MYH11 gene are known to exhibit thoracic aortic aneurysm and a risk of early-onset aortic dissection. However, less common phenotypes involving arterial obstruction are also observed, including coronary and cerebrovascular stenotic disease. Herein we implicate the HDAC9 complex in transcriptional silencing of contractile protein–associated genes, known to undergo downregulation in stenotic lesions. Furthermore, neointimal formation was inhibited in HDAC9- or MALAT1-deficient mice with preservation of contractile protein expression. Pharmacologic targeting of the HDAC9 complex through either MALAT1 antisense oligonucleotides or inhibition of the methyltransferase EZH2 (catalytic mediator recruited by the HDAC9 complex) reduced neointimal formation. In conclusion, we report the implication of the HDAC9 complex in stenotic disease and demonstrate that pharmacologic therapy targeting epigenetic complexes can ameliorate arterial obstruction in an experimental system.

Authors

Christian L. Lino Cardenas, Chase W. Kessinger, Elizabeth Chou, Brian Ghoshhajra, Ashish S. Yeri, Saumya Das, Neal L. Weintraub, Rajeev Malhotra, Farouc A. Jaffer, Mark E. Lindsay

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 481 95
PDF 79 15
Figure 244 2
Supplemental data 157 4
Citation downloads 71 0
Totals 1,032 116
Total Views 1,148
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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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