Noemi Bruno1, Jozine M ter Maaten1, Ekaterina S Ovchinnikova2, Eline L Vegter1, Mattia A E Valente1, Peter van der Meer1, Rudolf A de Boer1, Pim van der Harst1, Daniela Schmitter3, Marco Metra4, Christopher M O'Connor5, Piotr Ponikowski6, John R Teerlink7, Gad Cotter8, Beth Davison8, John G Cleland9, Michael M Givertz10, Daniel M Bloomfield11, Howard C Dittrich12, Yigal M Pinto13, Dirk J van Veldhuisen1, Hans L Hillege1, Eugene Berezikov2, Adriaan A Voors14. 1. University of Groningen, Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands. 2. European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 3. Momentum Research, Inc., Allschwil, Switzerland. 4. Department of Cardiology, University of Brescia, Brescia, Italy. 5. Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA. 6. Medical University, Clinical Military Hospital, Wroclaw, Poland. 7. University of California at San Francisco, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA. 8. Momentum Research, Durham, NC, USA. 9. National Heart & Lung Institute, Royal Brompton & Harefield Hospitals, Imperial College, London, UK. 10. Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. 11. Merck Research Laboratories, Rahway, NJ, USA. 12. University of Iowa Carver College of Medicine Cardiovascular Research Center, Iowa City, IA, USA. 13. University of Amsterdam, Amsterdam, The Netherlands. 14. University of Groningen, Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands. Electronic address: a.a.voors@umcg.nl.
Abstract
BACKGROUND: Deregulation of microRNAs (miRNAs) may be involved in the pathogenesis of heart failure (HF) and renal disease. Our aim is to describe miRNA levels related to early worsening renal function in acute HF patients. METHOD AND RESULTS: We studied the association between 12 circulating miRNAs and Worsening Renal Function (WRF; defined as an increase in the serum creatinine level of 0.3mg per deciliter or more from admission to day 3), absolute change in creatinine and Neutrophil Gelatinase Associated Lipocalin (NGAL) from admission to day 3 in 98 patients hospitalized for acute HF. At baseline, circulating levels of all miRNAs were lower in patients with WRF, with statistically significant decreased levels of miR-199a-3p, miR-423-3p, and miR-let-7i-5p (p-value<0.05). The increase in creatinine during the first 3 days of hospitalization was significantly associated with lower levels of miR-199a-3p, miR-27a-3p, miR-652-3p, miR-423-5p, and miR-let-7i-5p, while the increase in NGAL was significantly associated with lower levels of miR-18a-5p, miR-106a-5p, miR-223-3p, miR-199a-3p and miR-423-3p. MiR-199a-3p was the strongest predictor of WRF, with an Odds Ratio of 1.48 (1.061-2.065; p-value=0.021) and a C-index of 0.701. CONCLUSIONS: Our results show that the levels of circulating miRNAs at hospital admission for acute HF were consistently lower in patients who developed worsening of renal function. MiR-199a-3p was the best predictor of WRF in these patients.
RCT Entities:
BACKGROUND: Deregulation of microRNAs (miRNAs) may be involved in the pathogenesis of heart failure (HF) and renal disease. Our aim is to describe miRNA levels related to early worsening renal function in acute HF patients. METHOD AND RESULTS: We studied the association between 12 circulating miRNAs and Worsening Renal Function (WRF; defined as an increase in the serum creatinine level of 0.3mg per deciliter or more from admission to day 3), absolute change in creatinine and Neutrophil Gelatinase Associated Lipocalin (NGAL) from admission to day 3 in 98 patients hospitalized for acute HF. At baseline, circulating levels of all miRNAs were lower in patients with WRF, with statistically significant decreased levels of miR-199a-3p, miR-423-3p, and miR-let-7i-5p (p-value<0.05). The increase in creatinine during the first 3 days of hospitalization was significantly associated with lower levels of miR-199a-3p, miR-27a-3p, miR-652-3p, miR-423-5p, and miR-let-7i-5p, while the increase in NGAL was significantly associated with lower levels of miR-18a-5p, miR-106a-5p, miR-223-3p, miR-199a-3p and miR-423-3p. MiR-199a-3p was the strongest predictor of WRF, with an Odds Ratio of 1.48 (1.061-2.065; p-value=0.021) and a C-index of 0.701. CONCLUSIONS: Our results show that the levels of circulating miRNAs at hospital admission for acute HF were consistently lower in patients who developed worsening of renal function. MiR-199a-3p was the best predictor of WRF in these patients.
Authors: Eline L Vegter; Ekaterina S Ovchinnikova; Dirk J van Veldhuisen; Tiny Jaarsma; Eugene Berezikov; Peter van der Meer; Adriaan A Voors Journal: Clin Res Cardiol Date: 2017-03-14 Impact factor: 5.460
Authors: Aylin Hatice Yamac; Mustafa Ahmet Huyut; Emre Yilmaz; Ilke Celikkale; Ahmet Bacaksiz; Yusuf Demir; Ali Riza Demir; Mehmet Erturk; Nijad Bakhshaliyev; Ramazan Ozdemir; Ulkan Kilic Journal: Med Sci Monit Date: 2018-09-07
Authors: Evelyn M Templeton; Vicky A Cameron; John W Pickering; A Mark Richards; Anna P Pilbrow Journal: Heart Fail Rev Date: 2021-09 Impact factor: 4.214