Biomarkers of heart failure: advances in omics studies.
Kuo ChiJing LiuXinghua LiHe WangYanliang LiQingnan LiuYabin ZhouYuan GePublished in: Molecular omics (2024)
Heart failure is a complex syndrome characterized by progressive circulatory dysfunction, manifesting clinically as pulmonary and systemic venous congestion, alongside inadequate tissue perfusion. The early identification of HF, particularly at the mild and moderate stages (stages B and C), presents a clinical challenge due to the overlap of signs, symptoms, and natriuretic peptide levels with other cardiorespiratory pathologies. Nonetheless, early detection coupled with timely pharmacological intervention is imperative for enhancing patient outcomes. Advances in high-throughput omics technologies have enabled researchers to analyze patient-derived biofluids and tissues, discovering biomarkers that are sensitive and specific for HF diagnosis. Due to the diversity of HF etiology, it is insufficient to study the diagnostic data of early HF using a single omics technology. This study reviewed the latest progress in genomics, transcriptomics, proteomics, and metabolomics for the identification of HF biomarkers, offering novel insights into the early clinical diagnosis of HF. However, the validity of biomarkers depends on the disease status, intervention time, genetic diversity and comorbidities of the subjects. Moreover, biomarkers lack generalizability in different clinical settings. Hence, it is imperative to conduct multi-center, large-scale and standardized clinical trials to enhance the diagnostic accuracy and utility of HF biomarkers.
Keyphrases
- acute heart failure
- heart failure
- single cell
- high throughput
- clinical trial
- randomized controlled trial
- genetic diversity
- mass spectrometry
- multiple sclerosis
- computed tomography
- gene expression
- pulmonary hypertension
- machine learning
- magnetic resonance
- atrial fibrillation
- magnetic resonance imaging
- artificial intelligence
- big data
- case report
- study protocol
- open label
- electronic health record
- phase ii