ArticleNature communications2020
Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 2 citations in OpenAlex.
- Multi-omics study to elucidate molecular mechanism of polyhexamethylene guanidine phosphate (PHMG-p)-induced pulmonary damage in mice.Archives of toxicology · 2026Article
- Pyroptosis in chronic obstructive pulmonary disease: Beyond the canonical NLRP3/Caspase-1/GSDMD pathway.Immunologic research · 2026Review
- Peroxisomal interactome mapping enables network-based modelling of function and disease.Life science alliance · 2026Article
- A dual-branch graph neural network architecture for drug-target binding affinity prediction.Scientific reports · 2026Article
- Decoding the dark genome reveals its organisation into modular disease networks.Scientific reports · 2026Article
- Analysis of the Genetic Comorbid Mechanisms of Type 2 Diabetes, Alzheimer's Disease, and Hypertension Using Network Modularization.BioMed research international · 2026Article
- Network analysis reveals protein modules associated with childhood respiratory diseases.The Journal of allergy and clinical immunology · 2025Article
- Re-Addressing Dementia by Network Medicine and Mechanism-Based Molecular Endotypes.Journal of Alzheimer's disease : JAD · 2023Article
- Article
- Pathogenesis of chronic obstructive pulmonary disease: understanding the contributions of gene-environment interactions across the lifespan.The Lancet. Respiratory medicine · 2022Review
- Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease.Respiratory research · 2022Article
- Construction and contextualization approaches for protein-protein interaction networks.Computational and structural biotechnology journal · 2022Review
- The association between hypertension and nonalcoholic fatty liver disease (NAFLD): literature evidence and systems biology analysis.Bioengineered · 2021Article
- MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction.Genes · 2021Article
- The adverse impact of cadmium on immune function and lung host defense.Seminars in cell & developmental biology · 2021Article
- Genomic signatures of the unjamming transition in compressed human bronchial epithelial cells.Science advances · 2021Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
The molecular and clinical features of a complex disease can be influenced by other diseases affecting the same individual. Understanding disease-disease interactions is therefore crucial for revealing shared molecular mechanisms among diseases and designing effective treatments. Here we introduce Flow Centrality (FC), a network-based approach to identify the genes mediating the interaction between two diseases in a protein-protein interaction network. We focus on asthma and COPD, two chronic respiratory diseases that have been long hypothesized to share common genetic determinants and mechanisms. We show that FC highlights potential mediator genes between the two diseases, and observe similar outcomes when applying FC to 66 additional pairs of related diseases. Further, we perform in vitro perturbation experiments on a widely replicated asthma gene, GSDMB, showing that FC identifies candidate mediators of the interactions between GSDMB and COPD-associated genes. Our results indicate that FC predicts promising gene candidates for further study of disease-disease interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.