通过疾病图谱的构建和计算分析确定特应性皮炎和溃疡性结肠炎的共同和独特机制。

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-09-07 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.09.008
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

摘要

特应性皮炎(AD)和溃疡性结肠炎(UC)是免疫介导的炎症性疾病(IMIDs),发病率高,治疗费用高。AD主要影响皮肤,而UC主要影响结肠和直肠,但两者的特征都是由异常T辅助细胞激活、持续屏障功能障碍、遗传易感性和环境触发因素驱动的免疫失调。这种重叠可以解释两种疾病和AD患者UC风险增加之间的联系。这两种疾病都是慢性、进行性和治疗选择有限的,需要更好地了解它们的机制和生物标志物。为了解决这个问题,我们开发了UC和AD的疾病图谱,涵盖了它们的分子机制。在这里,我们介绍了地图的发展和内容,并展示了它们在数据可视化和分析中的应用。我们系统的、互动的比较揭示了共同的和疾病特异性的特征,以及共同的病理途径。这些发现强调了预测进展和治疗结果的共同生物标志物,以及药物再利用的机会。UC和AD疾病图谱为代表和探索共同和独特的机制提供了宝贵的资源,有助于将IMID管理从基于器官的症状缓解推进到基于机制的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of shared and unique mechanisms of atopic dermatitis and ulcerative colitis by construction and computational analysis of disease maps.

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.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
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
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