Evidence map›Paper›PMID 40910376›Full record

ReviewClinical and translational medicine2025

Immunometabolism: The role of gut-derived microbial metabolites in optimising immune response during checkpoint inhibitor therapy.

Agnieszka Beata Malczewski, Jermaine Ig Coward, Natkunam Ketheesan, Severine Navarro

Abstract readReview
In one paragraph

Review in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Agnieszka Beata MalczewskiIcon Cancer Centre, Wesley and South Brisbane, Brisbane, Queensland, Australia.
Jermaine Ig CowardIcon Cancer Centre, Wesley and South Brisbane, Brisbane, Queensland, Australia.
Natkunam KetheesanScience and Technology, University of New England, Armidale, New South Wales, Australia.
Severine NavarroFaculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0003-4568-9721

Funding

Queensland Children's Hospital Foundation CR0062020Queensland Children's Hospital Foundation RCP10317
6 · The paper itself

Abstract

Checkpoint inhibitor therapy is the most common type of immunotherapy used in the clinical setting, however, there are significant obstacles with treatment resistance and cancer progression. Since its introduction, there have been relatively few advances in the development of prognostic or predictive biomarkers. The field of metabolomics studies small molecules and can provide us with an understanding of the dynamic events evolving during the tumour-drug-immune-system interaction. Several key pathways have emerged as important in understanding resistance mechanisms thereby providing a rationale for targeting immunometabolism in order to enhance the immune response during checkpoint inhibitor therapy. In the first part of this review, we explore the role of gut microbiome-derived short-chain fatty acids, which are recognized as important immunoregulatory molecules shaping T-cell activation, effector and memory function. We then discuss tryptophan catabolism as a key predictor of primary checkpoint inhibitor failure. Lastly, we focus on immunometabolism as an important future target in immunotherapy. ONE SENTENCE SUMMARY: This review focusses on microbiome-derived metabolites and their role in immunometabolism and the enhancement of checkpoint inhibitor responses.

Indexed as

Gastrointestinal MicrobiomeImmune Checkpoint InhibitorsImmunotherapyNeoplasmsHumansImmune Checkpoint Inhibitors

Identifiers

PMID40910376
PMCPMC12411929

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.