挖掘转录数据,实现精准医疗:生物信息学对炎症性肠病的启示

IF 2.4 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Arman Shahriari, Shokoofeh Amirzadeh Shams, Hamidreza Mahboobi, Maryam Yazdanparast, Amirreza Jabbaripour Sarmadian
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引用次数: 0

摘要

:炎症性肠病(IBD)包括溃疡性结肠炎和克罗恩病,影响着全球数百万人。IBD 的特点是遗传、微生物和环境因素的复杂相互作用,它对传统治疗方法提出了挑战,需要精准医疗。本文回顾了生物信息学在利用转录数据进行新型 IBD 诊断和治疗方面的作用。它强调了 IBD 的基因组状况,重点是遗传因素和全基因组关联研究的见解。研究还探讨了肠道微生物组和宿主转录反应在 IBD 中的相互关系,强调了生物信息学工具在破译这些相互作用中的应用。我们的研究综合了转录组学和蛋白质组学的发展,揭示了与 IBD 发病机制相关的异常基因和蛋白质表达模式。我们提倡整合多组学数据,强调生物信息学在解读这些数据集时的复杂性和必要性。这种方法为个性化治疗策略、改善疾病预后和加强患者护理铺平了道路。所提供的见解全面概述了 IBD,强调生物信息学是推进 IBD 管理中个性化医疗的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining Transcriptional Data for Precision Medicine: Bioinformatics Insights into Inflammatory Bowel Disease
: Inflammatory Bowel Disease (IBD), encompassing ulcerative colitis and Crohn’s disease, affects millions worldwide. Characterized by a complex interplay of genetic, microbial, and environmental factors, IBD challenges conventional treatment approaches, necessitating precision medicine. This paper reviews the role of bioinformatics in leveraging transcriptional data for novel IBD diagnostics and therapeutics. It highlights the genomic landscape of IBD, focusing on genetic factors and insights from genome-wide association studies. The interrelation between the gut microbiome and host transcriptional responses in IBD is examined, emphasizing the use of bioinformatics tools in deciphering these interactions. Our study synthesizes developments in transcriptomics and proteomics, revealing aberrant gene and protein expression patterns linked to IBD pathogenesis. We advocate for the integration of multi-omics data, underscoring the complexity and necessity of bioinformatics in interpreting these datasets. This approach paves the way for personalized treatment strategies, improved disease prognosis, and enhanced patient care. The insights provided offer a comprehensive overview of IBD, highlighting bioinformatics as key in advancing personalized healthcare in IBD management.
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来源期刊
Current Bioinformatics
Current Bioinformatics 生物-生化研究方法
CiteScore
6.60
自引率
2.50%
发文量
77
审稿时长
>12 weeks
期刊介绍: Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science. The journal focuses on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.
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