English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Improved risk stratification in prevention by use of a panel of selected circulating microRNAs

MPS-Authors
/persons/resource/persons80539

Stalla,  Günter K.
RG Clinical Neuroendocrinology, Clinical Research, Max Planck Institute of Psychiatry, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

s41598-017-04040-w.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Keller, T., Boeckel, J.-N., Gross, S., Klotsche, J., Palapies, L., Leistner, D., et al. (2017). Improved risk stratification in prevention by use of a panel of selected circulating microRNAs. SCIENTIFIC REPORTS, 7: 4511. doi:10.1038/s41598-017-04040-w.


Cite as: https://hdl.handle.net/21.11116/0000-0001-94DF-D
Abstract
Risk stratification is crucial in prevention. Circulating microRNAs have been proposed as biomarkers in cardiovascular disease. Here a miR panel consisting of miRs related to different cardiovascular pathophysiologies, was evaluated to predict outcome in the context of prevention. MiR-34a, miR-223, miR-378, miR-499 and miR-133 were determined from peripheral blood by qPCR and combined to a risk panel. As derivation cohort, 178 individuals of the DETECT study, and as validation cohort, 129 individuals of the SHIP study were used in a case-control approach. Overall mortality and cardiovascular events were outcome measures. The Framingham Risk Score(FRS) and the SCORE system were applied as risk classification systems. The identified miR panel was significantly associated with mortality given by a hazard ratio(HR) of 3.0 (95% (CI): 1.09-8.43; p = 0.034) and of 2.9 (95% CI: 1.32-6.33; p = 0.008) after adjusting for the FRS in the derivation cohort. In a validation cohort the miR-panel had a HR of 1.31 (95% CI: 1.03-1.66; p = 0.03) and of 1.29 (95% CI: 1.02-1.64; p = 0.03) in a FRS/SCORE adjusted-model. A FRS/SCORE risk model was significantly improved to predict mortality by the miR panel with continuous net reclassification index of 0.42/0.49 (p = 0.014/0.005). The present miR panel of 5 circulating miRs is able to improve risk stratification in prevention with respect to mortality beyond the FRS or SCORE.