Gene Profiling of Aortic Valve Interstitial Cells under Elevated Pressure Conditions: Modulation of Inflammatory Gene Networks
2011

Gene Profiling of Aortic Valve Interstitial Cells under Elevated Pressure Conditions

Sample size: 6 publication Evidence: moderate

Author Information

Author(s): James N. Warnock, Nanduri Bindu, Pregonero Gamez Carol A., Tang Juliet, Koback Daniel, Muir William M., Burgess Shane C.

Primary Institution: Mississippi State University

Hypothesis

The study aimed to identify mechanosensitive pathways and gene networks that are stimulated by elevated cyclic pressure in aortic valve interstitial cells (VICs) and lead to detrimental tissue remodeling and/or pathogenesis.

Conclusion

The study developed a gene network model showing differentially expressed inflammatory genes and their interactions in VICs exposed to elevated pressure, identifying key molecules that could be targeted for pharmacotherapy of aortic stenosis in hypertensive patients.

Supporting Evidence

  • 56 gene transcripts related to inflammatory response mechanisms were differentially expressed.
  • TNF-α, IL-1α, and IL-1β were key cytokines identified from the gene network model.
  • Pentraxin 3 (PTX3) was significantly upregulated under elevated pressure conditions (41-fold change).

Takeaway

The study looked at how high pressure affects heart valve cells and found important genes that could help treat heart valve disease.

Methodology

Porcine aortic valve leaflets were exposed to cyclic pressures of 80 or 120 mmHg, followed by transcriptome analysis using microarray and qRT-PCR validation.

Potential Biases

Endothelial denudation may alter the biology of the tissue and disrupt communication between endothelial and interstitial cells.

Limitations

The small sample size for microarray analysis may decrease sensitivity, and the study did not address other mechanical factors affecting the valve environment.

Participant Demographics

Female Yorkshire/Hampshire pigs, less than 6 months of age.

Statistical Information

P-Value

p<0.0001

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.4061/2011/176412

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication