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将蛋白质组学整合到炎症性肠病的个性化医疗中:现实还是挑战?

Integrating Proteomics into Personalized Medicine for Inflammatory Bowel Disease-Reality or Challenge?

作者信息

Minea Horia, Singeap Ana-Maria, Minea Manuela, Juncu Simona, Chiriac Stefan Andrei, Sfarti Catalin Victor, Stanciu Carol, Trifan Anca

机构信息

Department of Gastroenterology, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.

Institute of Gastroenterology and Hepatology, "St. Spiridon" University Hospital, 700111 Iasi, Romania.

出版信息

Int J Mol Sci. 2025 May 22;26(11):4993. doi: 10.3390/ijms26114993.

DOI:10.3390/ijms26114993
PMID:40507799
Abstract

Inflammatory bowel diseases (IBD) represent chronic conditions with etiopathogenic mechanisms incompletely elucidated despite extensive research efforts. Therefore, it is essential for clinical monitoring of the implementation of personalized medicine, enabling risk stratification and the selection of therapies with the highest likelihood of a favorable response. Multi-omics approaches have emerged as an excellent opportunity for the prevention, clinical phenotype differentiation, and prediction of IBD development. Proteomics has gained significant enthusiasm in medical practice, primarily due to its focus on studying the composition and dynamic expression of various cellular and tissue structures. This approach provides critical insights into their impact on signaling pathways, post-translational modifications, and the development of sequence variations. Hence, it could provide the foundation for developing biomarkers with the potential to assess mucosal healing and predict prognostic variability among patients, facilitating the implementation of a personalized therapeutic approach. This review focuses on the recent research regarding the possibility of implementing proteomics technologies into clinical practice, given the challenges and limitations, and the advantages of increasing the quality of life in patients with IBD.

摘要

炎症性肠病(IBD)是一种慢性病,尽管进行了广泛的研究,但发病机制仍未完全阐明。因此,对个性化医疗的实施进行临床监测至关重要,这有助于风险分层以及选择最有可能产生良好反应的治疗方法。多组学方法已成为预防、临床表型区分和IBD发展预测的绝佳机会。蛋白质组学在医学实践中备受关注,主要是因为它专注于研究各种细胞和组织结构的组成及动态表达。这种方法为它们对信号通路、翻译后修饰和序列变异发展的影响提供了关键见解。因此,它可为开发具有评估黏膜愈合潜力和预测患者预后变异性的生物标志物奠定基础,从而促进个性化治疗方法的实施。鉴于面临的挑战和局限性,以及提高IBD患者生活质量的优势,本综述重点关注将蛋白质组学技术应用于临床实践的可能性的最新研究。

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本文引用的文献

1
Decoding the proteomic landscape of inflammatory bowel disease.解析炎症性肠病的蛋白质组学全貌
J Crohns Colitis. 2025 Jan 11;19(1). doi: 10.1093/ecco-jcc/jjaf008.
2
Advancing Therapeutic Targets in IBD: Emerging Goals and Precision Medicine Approaches.炎症性肠病治疗靶点的进展:新出现的目标与精准医学方法
Pharmaceuticals (Basel). 2025 Jan 10;18(1):78. doi: 10.3390/ph18010078.
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Preclinical Protein Signatures of Crohn's Disease and Ulcerative Colitis: A Nested Case-Control Study Within Large Population-Based Cohorts.克罗恩病和溃疡性结肠炎的临床前蛋白质特征:基于大型人群队列的巢式病例对照研究
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Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence.炎症性肠病基因组学、转录组学、蛋白质组学和宏基因组学与人工智能相遇。
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Int J Mol Sci. 2024 Aug 1;25(15):8420. doi: 10.3390/ijms25158420.
7
Biomarkers predicting the effect of anti-TNF treatment in paediatric and adult inflammatory bowel disease.预测抗 TNF 治疗在儿科和成人炎症性肠病中疗效的生物标志物。
J Pediatr Gastroenterol Nutr. 2024 Jul;79(1):62-75. doi: 10.1002/jpn3.12221. Epub 2024 May 2.
8
Systematic review of metabolomic alterations in ulcerative colitis: unveiling key metabolic signatures and pathways.溃疡性结肠炎代谢组学改变的系统评价:揭示关键代谢特征和途径
Therap Adv Gastroenterol. 2024 Mar 29;17:17562848241239580. doi: 10.1177/17562848241239580. eCollection 2024.
9
Quantitative Peptidomics: General Considerations.定量肽组学:一般考虑因素。
Methods Mol Biol. 2024;2758:89-108. doi: 10.1007/978-1-0716-3646-6_5.
10
Predictive biomarkers for anti-TNF alpha therapy in IBD patients.炎症性肠病患者抗 TNF-α 治疗的预测生物标志物。
J Transl Med. 2024 Mar 16;22(1):284. doi: 10.1186/s12967-024-05058-1.