Network Modeling Analysis in Health Informatics and BioinformaticsBioinformaticsPeer-reviewed journal article
Drug Contraindications in Comorbid Diseases: a Protein Interactome Perspective
Kalyani Bindu KarunakaraniD, Madhavi K. GanapathirajuiD, Sanjeev JainiD, Samir Kumar Brahmachari, N. BalakrishnaniD
Abstract
Adverse drug reactions (ADRs) are leading causes of death and drug withdrawals and frequently cooccur with comorbidities. However, systematic studies on the effects of drugs in comorbidities are lacking. Drug interactions with the cellular protein-protein interaction (PPI) network give rise to ADRs. We selected 6 comorbid disease pairs, identified the drugs used in the treatment of the individual diseases A and B- 44 drugs in anxiety and depression, 128 in asthma and hypertension, 48 in chronic obstructive pulmonary disease and heart failure, 58 in type 2 diabetes and obesity, 58 in Parkinsons disease and schizophrenia, and 84 in rheumatoid arthritis and osteoporosis - and categorized them based on whether they aggravate the comorbid condition. We constructed drug target networks (DTNs) and examined their enrichment among genes in disease A/B PPI networks, expressed across 53 tissues and involved in ~1000 pathways. To pinpoint the biological features characterizing the DTNs, we performed principal component analysis and computed the Euclidean distance between DTN component scores and feature loading values. DTNs of disease A drugs not contraindicated in B were affiliated with proteins common to A/B networks or uniquely found in the B network, similarly regulated common pathways, and disease-B specific pathways and tissues. DTNs of disease A drugs contraindicated in B were affiliated with common proteins or those uniquely found in the A network, differentially regulated common pathways, and disease A-specific pathways and tissues. Hence, DTN enrichment in pathways, tissues, and PPI networks of comorbid diseases will help identify drugs contraindications in comorbidities.
- organism: human
- assay: protein structure
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 1
- FWCI
- 0.00
- Field percentile
- 3th percentile
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