Research Center of Medical Big Data, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China.
Research Center of Artificial Intelligence, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China.
Database (Oxford). 2021 Nov 13;2021(2021). doi: 10.1093/database/baab076.
As the terminal clinical phenotype of almost all types of cardiovascular diseases, heart failure (HF) is a complex and heterogeneous syndrome leading to considerable morbidity and mortality. Existing HF-related omics studies mainly focus on case/control comparisons, small cohorts of special subtypes, etc., and a large amount of multi-omics data and knowledge have been generated. However, it is difficult for researchers to obtain biological and clinical insights from these scattered data and knowledge. In this paper, we built the Heart Failure Integrated Platform (HFIP) for data exploration, fusion analysis and visualization by collecting and curating existing multi-omics data and knowledge from various public sources and also provided an auto-updating mechanism for future integration. The developed HFIP contained 253 datasets (7842 samples), multiple analysis flow, and 14 independent tools. In addition, based on the integration of existing databases and literature, a knowledge base for HF was constructed with a scoring system for evaluating the relationship between molecular signals and HF. The knowledge base includes 1956 genes and annotation information. The literature mining module was developed to assist the researcher to overview the hotspots and contexts in basic and clinical research. HFIP can be used as a data-driven and knowledge-guided platform for the basic and clinical research of HF. Database URL: http://heartfailure.medical-bigdata.com.
作为几乎所有类型心血管疾病的终末临床表型，心力衰竭（HF）是一种复杂且异质性的综合征，导致相当高的发病率和死亡率。现有的 HF 相关组学研究主要集中在病例/对照比较、特殊亚型的小队列等方面，产生了大量多组学数据和知识。然而，研究人员很难从这些分散的数据和知识中获得生物学和临床见解。在本文中，我们通过收集和整理来自各种公共来源的现有多组学数据和知识，构建了心力衰竭综合平台（HFIP），用于数据探索、融合分析和可视化，并且还为未来的整合提供了自动更新机制。开发的 HFIP 包含 253 个数据集（7842 个样本）、多个分析流程和 14 个独立工具。此外，基于现有数据库和文献的整合，构建了一个 HF 知识库，其中包含一个用于评估分子信号与 HF 之间关系的评分系统。知识库包括 1956 个基因和注释信息。文献挖掘模块的开发有助于研究人员全面了解基础和临床研究中的热点和背景。HFIP 可以作为 HF 的基础和临床研究的一个数据驱动和知识引导的平台。数据库网址：http://heartfailure.medical-bigdata.com。
