Exploring the cross talk between ER stress and inflammation in age-related macular degeneration

• Published in: PloS one 2017-07, Vol.12 (7), p.e0181667-e0181667
• Main Authors: Kheitan, Samira, Minuchehr, Zarrin, Soheili, Zahra-Soheila
• Format: Article
• Language: English
• Subjects: Age; Age related diseases; Biology and life sciences; Care and treatment; Complications and side effects; Computer and Information Sciences; Crosstalk; Development and progression; Endoplasmic reticulum; Endoplasmic Reticulum Stress; Genetic engineering; Hubs; Humans; Inflammation; Inflammation - complications; Inflammation - immunology; Inflammation - metabolism; Inflammation - pathology; Information retrieval; Kinases; Macular degeneration; Macular Degeneration - complications; Macular Degeneration - immunology; Macular Degeneration - metabolism; Macular Degeneration - pathology; MAP kinase; Medicine and Health Sciences; Neurodegeneration; Protein interaction; Protein Interaction Maps; Proteins - immunology; Proteins - metabolism; Retina - immunology; Retina - metabolism; Retina - pathology; Signal transduction; Stress; Stress (Physiology); Stresses; Studies
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0181667

Increasing evidence demonstrates that inflammation and endoplasmic reticulum (ER) stress is implicated in the development and progression of age-related macular degeneration (AMD), a multifactorial neurodegenerative disease. However the cross talk between these cellular mechanisms has not been clearly and fully understood. The present study investigates a possible intersection between ER stress and inflammation in AMD. In this study, we recruited two collections of involved protein markers to retrieve their interaction information from IMEx-curated databases, which are the most well- known protein-protein interaction collections, allowing us to design an intersection network for AMD that is unprecedented. In order to find expression activated subnetworks, we utilized AMD expression profiles in our network. In addition, we studied topological characteristics of the most expressed active subnetworks to identify the hubs. With regard to topological quantifications and expressional activity, we reported a list of the most pivotal hubs which are potentially applicable as probable therapeutic targets. Furthermore, we introduced MAPK signaling pathway as a significantly involved pathway in the association between ER stress and inflammation, leading to promising new directions in discovering AMD formation mechanisms and possible treatments.