New targets for the treatment of ulcerative colitis: Gut microbiota and its metabolites.

IF 4.4 2区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Computational and structural biotechnology journal Pub Date : 2025-05-09 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.05.006

Huanyu Li, Meng Pan, Yifan Li, Manli Cui, Mingxin Zhang

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引用次数: 0

Abstract

Ulcerative colitis (UC) is one of the most common and difficult-to-treat inflammatory diseases Currently, the standard of care includes immunological modulation and anti-inflammatory medication to alleviate symptoms; however, these treatments are associated with several side effects. As a result, developing novel, safe, and effective treatment strategies is crucial. The gut microbiota and its influence on the onset and progression of UC through their regulation of immunity, barrier integrity, and homeostasis, serves as a promising target for UC therapy. In this review, we explore the pathological changes that take place in UC along with the role of gut microbiota and its metabolites in disease progression and modulation. Additionally, we offer a thorough description of novel UC treatment approaches that focus on altering the gut microbiota and its metabolites. These protocols include FMT, probiotics, prebiotics, and micro/nanoparticles. The ultimate goal is to offer a theoretical basis for the advancement of innovative therapeutic strategies for UC.

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治疗溃疡性结肠炎的新靶点：肠道菌群及其代谢产物。

溃疡性结肠炎（UC）是最常见和最难治疗的炎症性疾病之一，目前的治疗标准包括免疫调节和抗炎药物来缓解症状；然而，这些治疗有一些副作用。因此，开发新颖、安全、有效的治疗策略至关重要。肠道菌群及其通过调节免疫、屏障完整性和体内平衡对UC发病和进展的影响是UC治疗的一个有希望的靶点。在这篇综述中，我们探讨了UC发生的病理变化以及肠道微生物群及其代谢物在疾病进展和调节中的作用。此外，我们提供了新的UC治疗方法的全面描述，重点是改变肠道微生物群及其代谢物。这些方案包括FMT、益生菌、益生元和微/纳米颗粒。最终目的是为UC创新治疗策略的发展提供理论基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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