Improved risk stratification in prevention by use of a panel of selected circulating microRNAs
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,...
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Nature Portfolio
2017
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oai:doaj.org-article:ab99906f22bc42b0ac9fff0aa4257fa72021-12-02T12:32:15ZImproved risk stratification in prevention by use of a panel of selected circulating microRNAs10.1038/s41598-017-04040-w2045-2322https://doaj.org/article/ab99906f22bc42b0ac9fff0aa4257fa72017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04040-whttps://doaj.org/toc/2045-2322Abstract 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.Till KellerJes-Niels BoeckelStefan GroßJens KlotscheLars PalapiesDavid LeistnerLars PieperGünnter K. StallaHendrik LehnertSigmund SilberDavid PittrowWinfried MaerzMarcus DörrHans-Ulrich WittchenSebastian E. BaumeisterUwe VölkerStephan B. FelixStefanie DimmelerAndreas M. ZeiherNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017) |
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DOAJ |
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EN |
| topic |
Medicine R Science Q |
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Medicine R Science Q Till Keller Jes-Niels Boeckel Stefan Groß Jens Klotsche Lars Palapies David Leistner Lars Pieper Günnter K. Stalla Hendrik Lehnert Sigmund Silber David Pittrow Winfried Maerz Marcus Dörr Hans-Ulrich Wittchen Sebastian E. Baumeister Uwe Völker Stephan B. Felix Stefanie Dimmeler Andreas M. Zeiher Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| description |
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. |
| format |
article |
| author |
Till Keller Jes-Niels Boeckel Stefan Groß Jens Klotsche Lars Palapies David Leistner Lars Pieper Günnter K. Stalla Hendrik Lehnert Sigmund Silber David Pittrow Winfried Maerz Marcus Dörr Hans-Ulrich Wittchen Sebastian E. Baumeister Uwe Völker Stephan B. Felix Stefanie Dimmeler Andreas M. Zeiher |
| author_facet |
Till Keller Jes-Niels Boeckel Stefan Groß Jens Klotsche Lars Palapies David Leistner Lars Pieper Günnter K. Stalla Hendrik Lehnert Sigmund Silber David Pittrow Winfried Maerz Marcus Dörr Hans-Ulrich Wittchen Sebastian E. Baumeister Uwe Völker Stephan B. Felix Stefanie Dimmeler Andreas M. Zeiher |
| author_sort |
Till Keller |
| title |
Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| title_short |
Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| title_full |
Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| title_fullStr |
Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| title_full_unstemmed |
Improved risk stratification in prevention by use of a panel of selected circulating microRNAs |
| title_sort |
improved risk stratification in prevention by use of a panel of selected circulating micrornas |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/ab99906f22bc42b0ac9fff0aa4257fa7 |
| work_keys_str_mv |
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| _version_ |
1718394113047396352 |