Transcriptome of Left Ventricle and Sinoatrial Node in Young and Old C57 Mice

Jia-Hua Qu1, Kirill V Tarasov1, Yelena S Tarasova1

  • 1Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.

Fortune Journal of Health Sciences
|November 3, 2023
PubMed

Insights

Aging impacts heart function by altering cells in the sinoatrial node (SAN) and left ventricle (LV). This study compares molecular changes in these aging heart cells to find new cardiovascular disease (CVD) targets.

Area of Science:

  • Cardiovascular Biology
  • Aging Research
  • Molecular Cardiology

Background:

  • Advancing age is the primary risk factor for cardiovascular diseases (CVDs).
  • Heart function relies on sinoatrial node (SAN) and left ventricle (LV) cells, which decline with age, increasing CVD risk.
  • Molecular differences in age-associated changes between SAN and LV cells remain uncharacterized at the omics level.

Purpose of the Study:

  • To compare age-associated molecular changes in SAN and LV cells using deep RNA sequencing.
  • To identify chamber-specific gene expression patterns related to aging, energy production, longevity, and CVD markers.
  • To predict upstream regulatory activities impacting age-related cardiac dysfunction.

Main Methods:

  • Deep RNA sequencing of young and old SAN and LV samples.
  • Comprehensive bioinformatic analyses, including differential gene expression and pathway analysis.
  • Analysis of genes related to cardiomyocyte contraction, post-transcriptional processing, longevity pathways (KEGG), GenAge database entries, and CVD markers.

Main Results:

  • Detailed profiling of gene expression differences between LV and SAN cells.
  • Identification of concordant and discordant age-associated gene expression changes specific to each heart chamber.
  • Prediction of transcription regulators and miRNA activities influencing age-related cardiac changes.

Conclusions:

  • This study provides a comprehensive molecular comparison of aging in SAN and LV cells.
  • Findings enhance understanding of heart function regulation during aging.
  • The results offer potential gene-specific therapeutic targets for age-related CVDs.

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