Literature DB >> 28949058

Prognostic value of circulating microRNAs on heart failure-related morbidity and mortality in two large diverse cohorts of general heart failure patients.

Antoni Bayés-Genis1,2, David E Lanfear3, Maurice W J de Ronde4,5, Josep Lupón1,2, Joost J Leenders6, Zhen Liu6, Nicolaas P A Zuithoff7, Marinus J C Eijkemans7, Elisabet Zamora1,2, Marta De Antonio1, Aeilko H Zwinderman5, Sara-Joan Pinto-Sietsma4,5, Yigal M Pinto6,8.   

Abstract

AIMS: Small studies suggested circulating microRNAs (miRNAs) as biomarkers for heart failure (HF). However, standardized approaches and quality assessment for measuring circulating miRNAs are not uniformly established, and most studies have been small, so that results are inconsistent. We used a standardized data handling protocol, optimized for circulating miRNA qPCRs to remove noise and used it to assess which circulating miRNAs robustly add prognostic information in patients with HF. METHODS AND
RESULTS: We measured 12 miRNAs in two independent cohorts totalling 2203 subjects. Cohort I (Barcelona) comprised 834 chronic HF patients. Cohort II (Detroit) comprised 1369 chronic HF patients. Each sample was measured in duplicate, and normalized to a very abundant and stable miRNA (miR-486-5p). We used a multistep algorithm to distinguish false amplification signals and thus classify each miRNA measurement as 'valid', 'undetectable' or 'invalid'. Higher levels of miR-1254 and miR-1306-5p were significantly associated with risk of the combined endpoint of all-cause mortality and HF hospitalization in both cohorts, with hazard ratios ranging from 1.11 to 1.21 per log increase (P-values 0.004 to 0.009). However, adding these miRNAs to established predictors (age, sex, haemoglobin, renal function, and NT-proBNP) did not further augment the c-statistic beyond 0.69 (cohort I) or 0.70 (cohort II).
CONCLUSION: We used a stringent quality assessment for miRNA testing, and were able to replicate the association of miR-1254 and miR-1306-5p with risk of death and HF hospitalization in HF patients of two independent cohorts. However, these two circulating miRNAs failed to improve prognostication over established predictors.
© 2017 The Authors. European Journal of Heart Failure © 2017 European Society of Cardiology.

Entities:  

Keywords:  Heart failure; Risk stratification; microRNAs

Mesh:

Substances:

Year:  2017        PMID: 28949058     DOI: 10.1002/ejhf.984

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  28 in total

1.  The profile analysis of circular RNAs in human placenta of preeclampsia.

Authors:  Wenbo Zhou; Huiyan Wang; Xian Wu; Wei Long; Fangxiu Zheng; Jing Kong; Bin Yu
Journal:  Exp Biol Med (Maywood)       Date:  2018-11-20

2.  Silencing of H19 alleviates oxygen-glucose deprivation/reoxygenation-triggered injury through the regulation of the miR-1306-5p/BCL2L13 axis.

Authors:  Yuxing Huang; Lisha Deng; Lin Zeng; Shanlin Bao; Kun Ye; Chengxun Li; Xiaolin Hou; Yuan Yao; Dingjun Li; Zhen Xiong
Journal:  Metab Brain Dis       Date:  2021-08-26       Impact factor: 3.584

Review 3.  miRNA-486-5p: signaling targets and role in non-malignant disease.

Authors:  Adrianna Douvris; Jose Viñas; Kevin D Burns
Journal:  Cell Mol Life Sci       Date:  2022-06-22       Impact factor: 9.207

4.  Plasma microRNAs as biomarkers for Lamin A/C-related dilated cardiomyopathy.

Authors:  Rocío Toro; Sara Blasco-Turrión; Francisco José Morales-Ponce; Pablo Gonzalez; Pablo Martínez-Camblor; Amador López-Granados; Ramon Brugada; Oscar Campuzano; Alexandra Pérez-Serra; Felix Rosa Longobardo; Alipio Mangas; Vicenta Llorente-Cortes; David de Gonzalo-Calvo
Journal:  J Mol Med (Berl)       Date:  2018-07-14       Impact factor: 4.599

5.  Plasma Proteomic Profile Predicts Survival in Heart Failure With Reduced Ejection Fraction.

Authors:  Hongsheng Gui; Ruicong She; Jasmine Luzum; Jia Li; Timothy D Bryson; Yigal Pinto; Hani N Sabbah; L Keoki Williams; David E Lanfear
Journal:  Circ Genom Precis Med       Date:  2021-05-17

6.  Circulating Circles Predict Postoperative Atrial Fibrillation.

Authors:  Yolan J Reckman; Esther E Creemers
Journal:  J Am Heart Assoc       Date:  2018-01-22       Impact factor: 5.501

7.  Circulating miR-1254 predicts ventricular remodeling in patients with ST-Segment-Elevation Myocardial Infarction: A cardiovascular magnetic resonance study.

Authors:  David de Gonzalo-Calvo; Germán Cediel; Christian Bär; Julio Núñez; Elena Revuelta-Lopez; Josep Gavara; César Ríos-Navarro; Vicenta Llorente-Cortes; Vicente Bodí; Thomas Thum; Antoni Bayes-Genis
Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

Review 8.  Emerging microRNA biomarkers for acute kidney injury in acute decompensated heart failure.

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

9.  Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids.

Authors:  David de Gonzalo-Calvo; Pablo Martínez-Camblor; Christian Bär; Kevin Duarte; Nicolas Girerd; Bengt Fellström; Roland E Schmieder; Alan G Jardine; Ziad A Massy; Hallvard Holdaas; Patrick Rossignol; Faiez Zannad; Thomas Thum
Journal:  Theranostics       Date:  2020-07-09       Impact factor: 11.556

10.  miR-21 and NT-proBNP Correlate with Echocardiographic Parameters of Atrial Dysfunction and Predict Atrial Fibrillation.

Authors:  Jan-Thorben Sieweke; Tobias Jonathan Pfeffer; Saskia Biber; Shambhabi Chatterjee; Karin Weissenborn; Gerrit M Grosse; Jan Hagemus; Anselm A Derda; Dominik Berliner; Ralf Lichtinghagen; Denise Hilfiker-Kleiner; Johann Bauersachs; Christian Bär; Thomas Thum; Udo Bavendiek
Journal:  J Clin Med       Date:  2020-04-14       Impact factor: 4.241

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