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Abstract PR010: Early-life penicillin blooms colibactin-positive Escherichia coli and drives DNA damage and tumorigenesis

2025· article· en· W4417202875 on OpenAlexaboutno aff
Max R. Van Belkum, Julia Lane, Doug P. Mortlock, Nic G. Shealy, Camila F. Brito, Mariana X. Byndloss

Bibliographic record

VenueClinical Cancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsPenicillinAntibioticsEscherichia coliDNA damageCarcinogenesisImmune systemCancerEnterobacteriaceaeColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Background: Early-onset colorectal cancer (EOCRC) is rising for reasons not fully explained by genetics. Pediatric antibiotic prescriptions are medically ubiquitous, and nearly 1/3rd of all prescribed pedeatric antibiotics are retrospectively unnescessary. We hypothesized that brief pediatric penicillin courses ignite transient blooms of colibactin-producing (pks+) Enterobacteriaceae that seed colibactin-specific DNA damage and accelerate colon tumorigenesis. Methods: We developed an early-life exposure model (3–8 weeks) combining either corn starch, lard (HFD), or fiber-based diets with three 5-day oral penicillin pulses and colonization by a human pks+ Escherichia coli isolate (SP15), quantified bacterial dynamics (culture/qPCR), epithelial responses (RNA-seq, γH2AX), and neoplasia (AOM/DSS). We then analyzed infant metagenomes for time-locked pks+ spikes after intrapartum antibiotics (IAP) or childhood antibiotics. Results: Early-life penicillin triggered ≥100-fold, transient pks+ E. coli blooms, peaking during exposure and contracting afterward in mice across diets. In colonocytes of mice harboring pks+ E. coli, oral penicillin enriched DNA-damage response, EMT, and hyperproliferative programs and reduced homeostatic oxidative phosphorylation in a diet dependent manner. Preliminary mesenteric lymph node (MLN) flow cytometry data indicate antibiotics and pks+ (but not mutant) E. coli synergize as a critical driver of a signifcant pro-tumor TNF-rich pan-T-lymphocyte immune state across memory, effector and naive subsets that persists after AOM/DSS induction 9 weeks later. In the AOM/DSS cancer model, early-life penicillin promoted colorectal cancer in pks+-colonized HFD mice, which had increased tumor incidence, multiplicity, and burden (two-sided tests, P<0.05), directionally supported in the corn starch-diet mice as well (p∼0.1). Across infant cohorts, we observed congruent signals: time-locked pks+ spikes after antibiotics and higher early pks+ abundance with intrapartum penicillin exposure (p<0.05), consistent with transient antibiotic-induced blooms in humans. Conclusions/impact: Brief, clinically modeled penicillin courses in early life create a permissive luminal niche that blooms pks+ E. coli, perturbs epithelial programs, and accelerates colon tumorigenesis, with diet dependent effects. These data nominate precision antibiotic stewardship and colibactin-targeted interception as actionable strategies to reduce EOCRC risk, and motivate human studies pairing antibiotic timing with pks+ burden, dA-CLB, and SBS88/ID18 readouts along with first-in-human colibactin inhibitor trials. Citation Format: Max R. Van Belkum, Tamara Machado, Julia Lane, Doug P. Mortlock, Catie Shelton, Nic G. Shealy, Camila de Brito, Mariana X. Byndloss. Early-life penicillin blooms colibactin-positive Escherichia coli and drives DNA damage and tumorigenesis [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 PR010.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.066
GPT teacher head0.458
Teacher spread0.392 · 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 designObservational
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

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