Age-related differential structural and transcriptomic responses in the hypertensive heart

Francine Z. Marques, Po Yin Chu, Mark Ziemann, Antony Kaspi, Helen Kiriazis, Xiao Jun Du, Assam El-Osta, David M. Kaye

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3 Citations (Scopus)

Abstract

While aging is a critical risk factor for heart failure, it remains uncertain whether the aging heart responds differentially to a hypertensive stimuli. Here we investigated phenotypic and transcriptomic differences between the young and aging heart using a mineralocorticoid-excess model of hypertension. Ten-week ("young") and 36-week ("aging") mice underwent a unilateral uninephrectomy with deoxycorticosterone acetate (DOCA) pellet implantation (n = 6-8/group) and were followed for 6 weeks. Cardiac structure and function, blood pressure (BP) and the cardiac transcriptome were subsequently examined. Young and aging DOCA mice had high BP, increased cardiac mass, cardiac hypertrophy, and fibrosis. Left ventricular end-diastolic pressure increased in aging DOCA-treated mice in contrast to young DOCA mice. Interstitial and perivascular fibrosis occurred in response to DOCA, but perivascular fibrosis was greater in aging mice. Transcriptomic analysis showed that young mice had features of higher oxidative stress, likely due to activation of the respiratory electron transport chain. In contrast, aging mice showed up-regulation of collagen formation in association with activation of innate immunity together with markers of inflammation including cytokine and platelet signaling. In comparison to younger mice, aging mice demonstrated different phenotypic and molecular responses to hypertensive stress. These findings have potential implications for the pathogenesis of age-related forms of cardiovascular disease, particularly heart failure.

Original languageEnglish
Article number817
Number of pages13
JournalFrontiers in Physiology
Volume9
Issue numberJUL
DOIs
Publication statusPublished - 9 Jul 2018

Keywords

  • Aging
  • Fibrosis
  • Heart failure
  • MicroRNAs
  • MiRNAs
  • MiRs
  • Pathways
  • Transcriptome

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