Evidence map›Paper›PMID 42045784›Full record

ReviewClinical and translational science2026

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

Mohamed Hassanein, Li Xi, Rathi D Ryan, Zhan Harold Ye, Nessy Tania, Yamato Sano, Joshua Varghese, Diogo Branquinho, Anna Sapone

Abstract readReview
In one paragraph

Review in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mohamed HassaneinTranslational and Clinical Biomarkers, Pfizer Inc., Pearl River, New York, USA.ORCID 0009-0009-5503-7330
Li XiClinical Omics & Biomarker Statistics, Pfizer Inc., Cambridge, Massachusetts, USA.
Rathi D RyanClinical Omics & Biomarker Statistics, Pfizer Inc., Cambridge, Massachusetts, USA.
Zhan Harold YeClinical Omics & Biomarker Statistics, Pfizer Inc., Cambridge, Massachusetts, USA.
Nessy TaniaPharmacometrics and Systems Pharmacology Pfizer Inc., Cambridge, Massachusetts, USA.
Yamato SanoClinical Pharmacology & Bioanalytics, Pfizer R&D Japan G.K, Tokyo, Japan.ORCID 0000-0002-5512-2190
Joshua VargheseTranslational and Clinical Biomarkers, Pfizer Inc., Pearl River, New York, USA.ORCID 0000-0001-9777-0818
Diogo BranquinhoGlobal Medical Affairs, Pfizer Inc, New York, New York, USA.
Anna SaponeI&I Research Unit, Pfizer Inc., Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BiomarkersInflammatory Bowel DiseasesHumansMultiomicsPredictive Value of TestsProteomicsTreatment OutcomeBiomarkersbiomarkerIBDmultiomicsnoninvasivePDproteomicsserumtranscriptomicstreatment response

Identifiers

PMID42045784
PMCPMC13121096

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.