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Multi-Omics Biomarkers for Predicting Efficacy of Biologic and Small-Molecule Therapies in Adults With Inflammatory
Liru Chen1, Chuhan Zhang1, Ruixuan Niu1
1Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
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.
Insights
Identifying precise biomarkers is crucial for effective inflammatory bowel disease (IBD) treatments. This review explores omics biomarkers that predict patient responses to biologics and small molecule drugs for personalized IBD therapy.
Area of Science:
- Gastroenterology and Precision Medicine
- Biomarker Discovery
- Inflammatory Bowel Disease (IBD) Therapeutics
Background:
- Biological treatments and small molecule drugs for IBD exhibit variable efficacy.
- Precise patient selection using predictive biomarkers is essential for optimizing therapeutic outcomes.
- Recent advancements have identified numerous novel biomarkers through various omics approaches.
Purpose of the Study:
- To systematically review baseline omics biomarkers that predict therapeutic responses in IBD.
- To analyze the impact of integrating multiple omics datasets for biomarker discovery.
- To evaluate biomarkers with potential effects across different therapeutic interventions.
Main Methods:
- Systematic literature review of studies indexed in PubMed.
- Analysis of omics data including genomics, transcriptomics (bulk and single-cell RNA sequencing), proteomics, microbiomics, and metabolomics.
- Evaluation of integrated multi-omics models and specific predictive biomarkers.
Main Results:
- Numerous omics biomarkers have been identified for predicting responses to biologics and small molecule drugs in IBD.
- Multi-omics integration shows promise for enhancing biomarker predictive power.
- Specific biomarkers may influence responses to multiple therapeutic agents.
Conclusions:
- Omics biomarkers are vital for the precise selection of IBD treatments.
- Integrating multi-omics data can improve the accuracy of predictive models.
- Further research into specific biomarkers can advance precision medicine in IBD.
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