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Multi-Omics Biomarkers for Predicting Efficacy of Biologic and Small-Molecule Therapies in Adults With Inflammatory Bowel Disease: A Systematic Review.

作者信息

Chen Liru, Zhang Chuhan, Niu Ruixuan, Xiong Shanshan, He Jinshen, Wang Yu, Zhang Pingxin, Su Fengyuan, Liu Zishan, Zhou Longyuan, Mao Ren, Hu Shixian, Chen Minhu, Qiu Yun, Feng Rui

机构信息

Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

出版信息

United European Gastroenterol J. 2025 May;13(4):517-530. doi: 10.1002/ueg2.12720. Epub 2024 Dec 10.


DOI:10.1002/ueg2.12720
PMID:39656426
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12090831/
Abstract

The heterogeneity and suboptimal efficacy of biological treatments and small molecule drugs necessitate their precise selection based on biomarkers that predict therapeutic responses in inflammatory bowel disease. Recent studies have identified numerous novel biomarkers predictive of responses to biologics and small molecule modulators, utilizing a variety of omics approaches in inflammatory bowel disease. In this review, we systematically examine baseline omics biomarkers that predict responses to biological therapies and small molecule drugs, drawing on literature from PubMed. Our analysis spans multiple omics disciplines, including genomics, transcriptomics (both bulk RNA and single-cell RNA sequencing), proteomics, microbiomics, and metabolomics, with particular emphasis on the impact of models integrating multiple omics datasets. Additionally, to further the field of precision medicine, we evaluated specific biomarkers that may exhibit distinct effects on responses to multiple therapeutic interventions.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3828/12090831/7a7aa3d50589/UEG2-13-517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3828/12090831/ada55811e898/UEG2-13-517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3828/12090831/7a7aa3d50589/UEG2-13-517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3828/12090831/ada55811e898/UEG2-13-517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3828/12090831/7a7aa3d50589/UEG2-13-517-g002.jpg

相似文献

[1]
Multi-Omics Biomarkers for Predicting Efficacy of Biologic and Small-Molecule Therapies in Adults With Inflammatory Bowel Disease: A Systematic Review.

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[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[10]
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引用本文的文献

[1]
Positioning and sequencing of advanced therapies in inflammatory bowel disease: A guide for clinical practice.

World J Gastroenterol. 2025-8-7

[2]
Pharmacoepigenetic Biomarkers in Inflammatory Bowel Diseases: A Narrative Review.

Yale J Biol Med. 2025-6-30

本文引用的文献

[1]
Current Treatments, Emerging Therapeutics, and Natural Remedies for Inflammatory Bowel Disease.

Molecules. 2024-8-21

[2]
Tofacitinib Uptake by Patient-Derived Intestinal Organoids Predicts Individual Clinical Responsiveness.

Gastroenterology. 2024-12

[3]
Anti-IL23/12 agents and JAK inhibitors for inflammatory bowel disease.

Front Immunol. 2024-7-17

[4]
Baseline Serum and Stool Microbiome Biomarkers Predict Clinical Efficacy and Tissue Molecular Response After Ritlecitinib Induction Therapy in Ulcerative Colitis.

J Crohns Colitis. 2024-9-3

[5]
Baseline TREM-1 Whole Blood Gene Expression Does Not Predict Response to Adalimumab Treatment in Patients with Ulcerative Colitis or Crohn's Disease in the SERENE Studies.

J Crohns Colitis. 2024-4-23

[6]
Peripheral Blood DNA Methylation Signatures and Response to Tofacitinib in Moderate-to-severe Ulcerative Colitis.

J Crohns Colitis. 2024-8-14

[7]
Serum TGF-1 and CD14 Predicts Response to Anti-TNF- Therapy in IBD.

J Immunol Res. 2023

[8]
Responsiveness to Vedolizumab Therapy in Ulcerative Colitis is Associated With Alterations in Immune Cell-Cell Communications.

Inflamm Bowel Dis. 2023-10-3

[9]
Gut Microbiome and Metabonomic Profile Predict Early Remission to Anti-Integrin Therapy in Patients with Moderate to Severe Ulcerative Colitis.

Microbiol Spectr. 2023-6-15

[10]
Pretreatment serum monocyte chemoattractant protein-1 as a predictor of long-term outcome by ustekinumab in patients with Crohn's disease.

J Gastroenterol Hepatol. 2023-6

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