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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Ghatge, Madankumar Vangala, Rajani Kanth Sharma, Ankit Mundkur, Lakshmi |
| Description | Country affiliation: India Author Affiliation: Sharma A ( Proteomics and Coagulation Unit, Thrombosis Research Institute, Bangalore, Karnataka 560099, India.); Ghatge M ( Proteomics and Coagulation Unit, Thrombosis Research Institute, Bangalore, Karnataka 560099, India.); Mundkur L ( Molecular Immunology Unit, Thrombosis Research Institute, Bangalore, Karnataka 560099, India.); Vangala RK ( Proteomics and Coagulation Unit, Thrombosis Research Institute, Bangalore, Karnataka 560099, India.) |
| Abstract | Translational informatics approaches are required for the integration of diverse and accumulating data to enable the administration of effective translational medicine specifically in complex diseases such as coronary artery disease (CAD). In the current study, a novel approach for elucidating the association between infection, inflammation and CAD was used. Genes for CAD were collected from the CADgene database and those for infection and inflammation were collected from the UniProt database. The cytomegalovirus (CMV)induced genes were identified from the literature and the CADassociated clinical phenotypes were obtained from the Unified Medical Language System. A total of 55 gene ontologies (GO) termed functional communicator ontologies were identified in the gene sets linking clinical phenotypes in the diseasome network. The network topology analysis suggested that important functions including viral entry, cell adhesion, apoptosis, inflammatory and immune responses networked with clinical phenotypes. Microarray data was extracted from the Gene Expression Omnibus (dataset: GSE48060) for highly networked disease myocardial infarction. Further analysis of differentially expressed genes and their GO terms suggested that CMV infection may trigger a xenobiotic response, oxidative stress, inflammation and immune modulation. Notably, the current study identified γglutamyl transferase (GGT)5 as a potential biomarker with an odds ratio of 1.947, which increased to 2.561 following the addition of CMV and CMVneutralizing antibody (CMVNA) titers. The Cstatistics increased from 0.530 for conventional risk factors (CRFs) to 0.711 for GGT in combination with the above mentioned infections and CRFs. Therefore, the translational informatics approach used in the current study identified a potential molecular mechanism for CMV infection in CAD, and a potential biomarker for risk prediction. |
| ISSN | 17912997 |
| e-ISSN | 17913004 |
| DOI | 10.3892/mmr.2016.5013 |
| Journal | Molecular Medicine Reports |
| Issue Number | 5 |
| Volume Number | 13 |
| Language | English |
| Publisher | Spandidos Publications |
| Publisher Date | 2016-05-01 |
| Publisher Place | Greece |
| Access Restriction | Open |
| Subject Keyword | Discipline Molecular Biology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics Biochemistry Molecular Biology Cancer Research Molecular Medicine Oncology |
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