Advancing <scp>IBD</scp> Management: A Literature Review on the Role of Non‐Invasive Blood‐Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment

Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therapeutic response remain a major unmet need in inflammatory bowel disease (IBD). While colonic biopsies are the gold standard for evaluating mucosal inflammation, their invasive nature and limited spatial and temporal resolution constrain their utility in routine monitoring and clinical trials. Blood-based biomarkers offer a complementary approach, providing minimally invasive, readily accessible measures that can be repeatedly sampled over time. Emerging blood-derived signatures, including gene expression profiles and circulating molecular inflammation scores, capture systemic immune activity and have shown promise in predicting treatment response, disease flares, and pharmacodynamic (PD) effects of therapies. Recent advances utilizing multi-omics technologies and machine learning methods have further improved the predictive performance of blood-based biomarkers, particularly in the context of biologic therapies such as anti-tumor necrosis factor agents. Despite these advances and growing promises, challenges related to validation, standardization, and clinical integration persist. This review focused on recent advances in blood-based biomarkers for IBD, with an emphasis on their use in predicting treatment response and assessing pharmacodynamic effects in clinical trials.

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Journal
Clinical and Translational Science
Published
2026-04-27
DOI
https://doi.org/10.1111/cts.70562
Primary Topic
Inflammatory Bowel Disease
Type
article
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article

Advancing IBD Management: A Literature Review on the Role of Non‐Invasive Blood‐Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment

Nessy Tania, Rathi D. Ryan, Joshua Varghese, Yamato Sano et al.
Clinical and Translational Science
Inflammatory Bowel Disease
article

Advancing IBD Management: A Literature Review on the Role of Non‐Invasive Blood‐Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment

Nessy Tania, Rathi D. Ryan, Joshua Varghese, Yamato Sano, Xi Li, Anna Sapone, D Ferreira Branquinho, Mohamed Hassanein, Zhan (Harold) Ye
article en

Abstract

Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therapeutic response remain a major unmet need in inflammatory bowel disease (IBD). While colonic biopsies are the gold standard for evaluating mucosal inflammation, their invasive nature and limited spatial and temporal resolution constrain their utility in routine monitoring and clinical trials. Blood-based biomarkers offer a complementary approach, providing minimally invasive, readily accessible measures that can be repeatedly sampled over time. Emerging blood-derived signatures, including gene expression profiles and circulating molecular inflammation scores, capture systemic immune activity and have shown promise in predicting treatment response, disease flares, and pharmacodynamic (PD) effects of therapies. Recent advances utilizing multi-omics technologies and machine learning methods have further improved the predictive performance of blood-based biomarkers, particularly in the context of biologic therapies such as anti-tumor necrosis factor agents. Despite these advances and growing promises, challenges related to validation, standardization, and clinical integration persist. This review focused on recent advances in blood-based biomarkers for IBD, with an emphasis on their use in predicting treatment response and assessing pharmacodynamic effects in clinical trials.

Clinical and Translational ScienceVol. 19(5)
Pfizer (United States) (US), Pfizer (Japan) (JP)
Openalex Percentile: Top 12%
Inflammatory Bowel Disease
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Advancing <scp>IBD</scp> Management: A Literature Review on the Role of Non‐Invasive Blood‐Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment — Nessy Tania, Rathi D. Ryan, et al. · Clinical and Translational Science (2026) | TGRS Research Map | TGRS