Exploration of potential genetic biomarkers for heart failure: A systematic review

9Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

Patients with heart failure (HF) often present with signs and symptoms that are often nonspecific and with a wide differential diagnosis, making diagnosis and prognosis of HF by clinical presentation alone challenging. Our knowledge on genetic diversity is rapidly evolving with highthroughput DNA sequencing technology, which makes a great potential for genetic biomarker development. The present review attempts to provide a comprehensive review on the modification of major genetic components in HF patients and to explore the potential application of these components as clinical biomarkers in the diagnosis and in monitoring the progress of HF. The literature search was conducted using six databases, resulting in the inclusion of eighteen studies in the review. The findings of these studies were summarized narratively. An appraisal of the reporting quality of the included studies was conducted using a twelve-item checklist adapted from the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. The findings showed that changes in genetic components in patients with HF compared to healthy controls could be noninvasive diagnostic or prognostic tools for HF with higher specificity and sensitivity in comparison with the traditional biomarkers. This review provided evidence for the potential of developing genetic biomarkers of HF.

Cite

CITATION STYLE

APA

Chair, S. Y., Chan, J. Y. W., Waye, M. M. Y., Liu, T., Law, B. M. H., & Chien, W. T. (2021, June 1). Exploration of potential genetic biomarkers for heart failure: A systematic review. International Journal of Environmental Research and Public Health. MDPI. https://doi.org/10.3390/ijerph18115904

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free