Welcome to KICDB
A Causality-Oriented Multi-Omics Database for Kinase Inhibitor Cardiotoxicity
This platform provides a comprehensive resource to investigate the molecular mechanisms of kinase inhibitor-induced cardiotoxicity by integrating large-scale transcriptomic data with genetic causal inference.
- Explore robust gene expression signatures from our meta-analysis of KI-treated cardiomyocyte models.
- Uncover functional links between different kinase inhibitors and disease pathways through connectivity mapping.
- Interrogate the causal effects of KI-associated genes and proteins on cardiovascular diseases using Mendelian Randomization.
KICDB is designed to help researchers formulate hypotheses, identify risk biomarkers, and ultimately guide the design of cardioprotective strategies.
Controls
Volcano Plot Thresholds
Differential Expression Data
Controls
Connectivity Map Analysis
Explore the relationships between drug signatures and other drug or disease pathways using Gene Set Enrichment Analysis (GSEA).
Pathway & Gene Centric Explorer
Explore the mechanisms by linking drugs, pathways, and their core driving genes, or search for specific genes to see their response across all drugs.
Mendelian Randomization Results
This page displays the results of two-sample Mendelian randomization (MR) analyses. Select filters below and then select a row in the results table and click the 'Generate Plots' button to visualize the analysis.
Filters
MR Results Table
Select a row from the table above and click the button to view the diagnostic plots.
Included Transcriptomics Studies (GEO)
This table summarizes the transcriptomics datasets included in our meta-analysis.
Included GWAS Datasets
This table summarizes the GWAS summary statistics for cardiotoxicity-related outcomes used in the Mendelian randomization analyses.
Download Datasets & Methodology
Download key summary datasets from our analyses in CSV format or the pseudo code for our methods.
Analysis Results (.csv)
Methodology (.txt)
Analysis Workflow Pseudo CodeAbout & Citation
How to Cite
Wei J, Liu Y, Wu M, Li G, Zheng X, Fu H, Zhang J, Lin J. Kinase Inhibitor Cardiotoxicity Database (KICDB): a causality-oriented multi-omics database for kinase inhibitor-induced cardiotoxicity. Br J Pharmacol. 2026. doi: 10.1111/bph.70599. PMID: 42464730.
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/42464730/
Journal Link: https://bpspubs.onlinelibrary.wiley.com/doi/10.1111/bph.70599
Authors
Jiamin Wei1, Yin Liu2, Miaoqing Wu3, Guoyuan Li4, Xinyao Zheng5, Huafeng Fu6, Jian Zhang6,7,*, Jijin Lin8,*
Affiliations
1 Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
2 School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
3 Department of Gastrointestinal Surgery, Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
4 Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
5 Jieyang People's Hospital, Jieyang, China.
6 Department of Gastrointestinal Surgery, Digestive Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
7 Department of General Surgery, Linzhi People's Hospital, Linzhi, China.
8 Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Corresponding Authors
Jian Zhang, PhD*
The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Email:
dr.jian.zhang.phd@gmail.com
Jijin Lin, PhD*
Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Email:
linjijin@gdph.org.cn