Title |
Serum Amyloid P-Component Prevents Cardiac Remodeling in Hypertensive Heart Disease
|
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Published in |
Journal of Cardiovascular Translational Research, November 2015
|
DOI | 10.1007/s12265-015-9661-1 |
Pubmed ID | |
Authors |
Stephen J. Horgan, Chris J. Watson, Nadia Glezeva, Pat Collier, Roisin Neary, Isaac J. Tea, Niamh Corrigan, Mark Ledwidge, Ken McDonald, John A. Baugh |
Abstract |
The potential for serum amyloid P-component (SAP) to prevent cardiac remodeling and identify worsening diastolic dysfunction (DD) was investigated. The anti-fibrotic potential of SAP was tested in an animal model of hypertensive heart disease (spontaneously hypertensive rats treated with SAP [SHR - SAP] × 12 weeks). Biomarker analysis included a prospective study of 60 patients with asymptomatic progressive DD. Compared with vehicle-treated Wistar-Kyoto rats (WKY-V), the vehicle-treated SHRs (SHR-V) exhibited significant increases in left ventricular mass, perivascular collagen, cardiomyocyte size, and macrophage infiltration. SAP administration was associated with significantly lower left ventricular mass (p < 0.01), perivascular collagen (p < 0.01), and cardiomyocyte size (p < 0.01). Macrophage infiltration was significantly attenuated in the SHR-SAP group. Biomarker analysis showed significant decreases in SAP concentration over time in patients with progressive DD (p < 0.05). Our results indicate that SAP prevents cardiac remodeling by inhibiting recruitment of pro-fibrotic macrophages and that depleted SAP levels identify patients with advancing DD suggesting a role for SAP therapy. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Ireland | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 3 | 30% |
Researcher | 2 | 20% |
Student > Doctoral Student | 1 | 10% |
Professor > Associate Professor | 1 | 10% |
Student > Postgraduate | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Agricultural and Biological Sciences | 2 | 20% |
Medicine and Dentistry | 2 | 20% |
Engineering | 1 | 10% |
Unknown | 3 | 30% |