HFBD

HFBD curates a manually collected and annotated database of heart failure (HF) biomarkers to support analysis of HF heterogeneity and precision-medicine applications.


Key Features:

  • Coverage: 2,618 records describing 868 distinct biomarkers compiled from 1,237 PubMed articles.
  • Biomarker grouping: Includes 731 single biomarkers and 137 combined biomarkers.
  • Biological levels: Classifies biomarkers across molecular (proteins, RNAs, DNAs), image, cellular, and physiological levels.
  • Annotations: Each entry contains biological relevance, clinical implications, and the specific experimental methodologies reported for discovery.
  • Disease focus: Concentrates on biomarkers associated with heart failure (HF) and its heterogeneity.

Scientific Applications:

  • Precision medicine: Enables analysis of HF heterogeneity to inform personalized diagnosis and treatment strategies.
  • Biomarker research: Serves as a reference for discovery, comparison, and selection of HF biomarkers across molecular, cellular, image, and physiological domains.
  • Clinical translation: Supports development of diagnostic tools and therapeutic interventions tailored to individual HF patient profiles.

Methodology:

Manual curation from PubMed literature yielding 2,618 records from 1,237 original articles with extraction and annotation of biomarker identity, grouping, biological level, and reported experimental methodologies.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
11/9/2021
Last Updated:
11/9/2021

Operations

Publications

He H, Shi M, Lin Y, Zhan C, Wu R, Bi C, Liu X, Ren S, Shen B. HFBD: a biomarker knowledge database for heart failure heterogeneity and personalized applications. Bioinformatics. 2021;37(23):4534-4539. doi:10.1093/bioinformatics/btab470. PMID:34164644.

PMID: 34164644
Funding: - National Key Research and Development Program of China: 2016YFC1306605 - National Natural Science Foundation of China: 32070671 - Sichuan and Guangxi Provinces: 2020YFQ0019