Related Experiment Video
Updated: Nov 1, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
HFBD: a biomarker knowledge database for heart failure heterogeneity and personalized applications
Hongxin He1,2, Manhong Shi2,3, Yuxin Lin2
1Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610212, China.
Insights
A new Heart Failure Biomarker Knowledge Database (HFBD) catalogs 868 biomarkers from scientific literature. This resource aids understanding of heart failure (HF) heterogeneity and supports personalized precision medicine approaches.
Area of Science:
- Biomedical Informatics
- Cardiovascular Research
- Genomics and Proteomics
Background:
- Heart failure (HF) is a global cardiovascular disease with significant incidence.
- Precision medicine requires comprehensive biomarker identification for personalized HF diagnosis and treatment.
- Understanding HF heterogeneity necessitates a centralized data resource for multi-level biomarker information.
Purpose of the Study:
- To establish a centralized knowledge database for heart failure biomarkers (HFBD).
- To systematically collect and organize HF biomarker data from scientific literature.
- To facilitate the understanding of HF heterogeneity and support personalized medicine strategies.
Main Methods:
- Manual data collection and knowledge extraction from PubMed literature.
- Inclusion of 2618 records and 868 distinct HF biomarkers (single and combined).
- Classification of biomarkers by type (proteins, RNAs, DNAs) and level (molecular, image, cellular, physiological).
Main Results:
- The HFBD contains 868 HF biomarkers derived from 1237 articles.
- Biomarkers are annotated with biological, clinical, and experimental details.
- The database offers a user-friendly interface for accessing HF biomarker information.
Conclusions:
- The HFBD provides a unique resource for systematic understanding of HF heterogeneity.
- This database supports personalized diagnosis and treatment in the era of precision medicine.
- The HFBD is openly available to the research community.
Motivation:
Heart failure (HF) is a cardiovascular disease with a high incidence around the world. Accumulating studies have focused on the identification of biomarkers for HF precision medicine. To understand the HF heterogeneity and provide biomarker information for the personalized diagnosis and treatment of HF, a knowledge database collecting the distributed and multiple-level biomarker information is necessary.
Results:
In this study, the HF biomarker knowledge database (HFBD) was established by manually collecting the data and knowledge from literature in PubMed. HFBD contains 2618 records and 868 HF biomarkers (731 single and 137 combined) extracted from 1237 original articles. The biomarkers were classified into proteins, RNAs, DNAs and the others at molecular, image, cellular and physiological levels. The biomarkers were annotated with biological, clinical and article information as well as the experimental methods used for the biomarker discovery. With its user-friendly interface, this knowledge database provides a unique resource for the systematic understanding of HF heterogeneity and personalized diagnosis and treatment of HF in the era of precision medicine.
Availability And Implementation:
The platform is openly available at http://sysbio.org.cn/HFBD/.
Related Concept Videos
Pathophysiology of Heart Failure
Heart Failure IV: Classification and Diagnostic Evaluation
Heart Failure II: Pathophysiology
Heart Failure V: Medical Management
Heart Failure Drugs: β-Blockers
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...

