MétaCan
Menu
Back to cohort

Abstract C037: Fructose-induced Akkermansia muciniphila promotes colorectal cancer progression through N-acetylneuraminic acid-mediated macrophage reprogramming

2025· article· en· W4417202891 on OpenAlexaboutno aff
Yingzhao Wang, Marcus D. Goncalves

Bibliographic record

VenueClinical Cancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsAkkermansia muciniphilaImmune systemMacrophage polarizationTumor progressionMucinColorectal cancerMacrophageTumor microenvironment

Abstract

fetched live from OpenAlex

Abstract Purpose: High-fructose consumption is epidemiologically linked to increased colorectal cancer (CRC) risk, yet the mechanistic connections between fructose-induced microbial alterations and immune suppression remain unclear. Previous studies have shown that fructose intake can increase Akkermansia muciniphila levels. This study investigated how fructose exposure promotes CRC progression through A. muciniphila and whether therapeutic targeting is possible while preserving A. muciniphila's metabolic benefits. Methods: The impact of long-term oral A. muciniphila administration was assessed using AOM-DSS spontaneous CRC mouse model. Macrophage phenotypes were characterized by flow cytometry and RNA sequencing of bone marrow-derived macrophages (BMDMs). Published metabolomics datasets were reanalyzed to identify intestinal lumen metabolites associated with A. muciniphila colonization. The functional relevance of candidate metabolites was examined through ex vivo BMDM treatment followed by adoptive transfer into MC38 tumor-bearing mice. Results: Oral A. muciniphila administration enhanced tumor growth in AOM-DSS CRC model, accompanied by increased colonic macrophage infiltration and altered polarization characterized by reduced CD206 expression. Dataset reanalysis revealed elevated N-acetylneuraminic acid (Neu5Ac), a metabolite released during A. muciniphila-mediated mucin degradation, in the ileum following A. muciniphila administration. Neu5Ac treatment reprogrammed macrophages toward a tumor-promoting phenotype with enhanced immunosuppressive and pro-tumorigenic signaling. Adoptive transfer of Neu5Ac-treated macrophages accelerated MC38 tumor progression in vivo. Conclusions: These findings identify a novel fructose–A. muciniphila–Neu5Ac–macrophage immunometabolic axis linking dietary fructose to immune dysfunction in CRC. High fructose consumption enriches A. muciniphila, which releases Neu5Ac into the intestinal lumen, subsequently reprogramming macrophages toward a tumor-promoting phenotype that accelerates CRC progression. This work identifies a potential therapeutic target for diet-associated CRC while preserving the metabolic benefits of A. muciniphila. Citation Format: Yingzhao Wang, Marcus Goncalves. Fructose-induced Akkermansia muciniphila promotes colorectal cancer progression through N-acetylneuraminic acid-mediated macrophage reprogramming [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr C037.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.177
GPT teacher head0.558
Teacher spread0.380 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueClinical Cancer ResearchSame topicDiet, Metabolism, and DiseaseFrench-language works237,207