Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review

• Published in: International journal of environmental research and public health Vol. 18; no. 11; p. 5904
• Main Authors: Chair, Sek-Ying, Chan, Judy-Yuet-Wa, Waye, Mary-Miu-Yee, Liu, Ting, Law, Bernard-Man-Hin, Chien, Wai-Tong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 31.05.2021; MDPI
• Subjects: Biomarkers; Deoxyribonucleic acid; Diagnosis; Differential diagnosis; Disease; DNA; DNA sequencing; Epidemiology; Etiology; Genetic diversity; Heart diseases; Heart failure; Mortality; Pacemakers; Patients; Physiology; Review; Signs and symptoms; Systematic review
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph18115904

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 high-throughput 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.