Oxana Lopata, Marcio Luis Acencio, Xinhui Wang, Ahmed Abdelmonem Hemedan, Michael J Chao, Scott A Jelinsky, Florian Tran, Philip Rosenstiel, Andrew Y F Li Yim, Reinhard Schneider, Venkata Satagopam, Marek Ostaszewski
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引用次数: 0
Abstract
Atopic dermatitis (AD) and ulcerative colitis (UC) are immune-mediated inflammatory diseases (IMIDs) with high prevalence and treatment costs. AD mainly affects the skin, while UC targets the colon and rectum, but both are characterised by immune dysregulation driven by aberrant T helper cell activation, persistent barrier dysfunction, genetic predisposition, and environmental triggers. This overlap may explain the link between the two diseases and the increased risk of UC in patients with AD. Both diseases are chronic, progressive, and limited in treatment options, and there is a need for a better understanding of their mechanisms and biomarkers. To address this, we developed disease maps for UC and AD, covering their molecular mechanisms. Here, we present the development and contents of the maps, as well as demonstrate their application in data visualisation and analysis. Our systematic, interactive comparison reveals both common and disease-specific signatures, as well as common pathological pathways. These findings highlight shared biomarkers for predicting progression and therapy outcomes, and opportunities for drug repurposing. The UC and AD disease maps provide a valuable resource for representing and exploring common and distinct mechanisms, helping to advance IMID management from organ-based symptom relief towards mechanism-based treatments.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology