| Title |
Serum microRNA profiles in cats with hypertrophic cardiomyopathy
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, January 2015
|
| DOI | 10.1007/s11010-014-2324-8 |
| Pubmed ID | |
| Authors |
K. Weber, N. Rostert, S. Bauersachs, G. Wess |
| Abstract |
The role of microRNAs (miRNAs) in the pathogenesis of heart diseases of humans and rodents, as well as their diagnostic potential, has recently received much attention, but comparable studies for spontaneous disease models in the domestic cat are missing. Hypertrophic cardiomyopathy (HCM) is the most common heart disease in cats. The pathology is largely unknown, but is suspected to be influenced by genetic background. In this study, we examined the miRNA profiles in the serum of cats with stable congestive heart failure caused by HCM (n = 11) and healthy control cats (n = 12) using miRNA arrays. 965 out of 2026 miRNAs could be detected in at least six samples of either of the groups. Eleven mammalian miRNAs were differentially expressed between the groups with a fold change ≥ 1.6. Hierarchical cluster analysis resulted in distinct separation of the two groups. After correction for multiple testing (adjusted p < 0.05), a higher expression of miR-381-3p, miR-486-3p, miR-4751, miR-476c-3p, miR-5700, miR-513a-3p, and miR-320e in the HCM group was confirmed. Additionally, miR-1246 was found to be upregulated 3-fold in the HCM group using quantitative RT-PCR. Software analysis of the significantly regulated miRNAs revealed 49 mRNA targets involved in cardiac hypertrophy. Cats with primary HCM show a distinct miRNA profile that includes miRNAs that have already been shown to be differentially regulated in human patients and rodent models for cardiac disease. Studying HCM as a spontaneous cardiac disease of the cat may help to reveal additional pathophysiologic pathways. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 1% |
| Unknown | 64 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Researcher | 11 | 16% |
| Student > Master | 8 | 12% |
| Other | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 27% |
| Veterinary Science and Veterinary Medicine | 13 | 19% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 16 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2017.
All research outputs
#3,913,052
of 22,778,347 outputs
Outputs from Molecular and Cellular Biochemistry
#135
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Outputs of similar age
#55,574
of 352,048 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#2
of 30 outputs
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