Oral oncolytic magnetotactic bacteria elicit anti-colorectal tumor immunity and reprogram microbiota metabolism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Therapeutic outcomes of colorectal cancer (CRC) are influenced by intestinal microbiota and metabolites. To leverage the tumor-tropism and microbiota-regulating properties of bacteria, we developed oncolytic magnetotactic bacteria (MSR-CPT/APPs) loaded with camptothecin (CPT) and anti-PD-L1 peptide (APP) for targeted chemo-magnetothermal immunotherapy of CRC. To further achieve oral delivery, MSR-CPT/APPs were coated with mulberry leaf lipids and Pluronic F127 (LPs). When exposed to an alternating magnetic field, MSR-CPT/APP@LPs penetrated colonic mucus and reached deep-seated tumors. They elevated proinflammatory cytokine secretion, prolonged T cell recruitment, and reduced immunosuppressive cell proportions by activating the cGAS-STING pathway, inducing immunogenic cell death, and facilitating macrophage polarization to M1 phenotype. Oral MSR-CPT/APP@LPs increased the relative abundances of crucial commensal microorganisms ( e.g ., Lachnospiraceae family and Alistipes ) and influenced their metabolites, like elevating beneficial metabolites (short-chain fatty acids and citrulline) levels and decreasing harmful metabolites ( l -glutamine and kynurenic acid) amounts, thereby remodeling the tumor immune microenvironment. Overall, MSR-CPT/APP@LPs foster a supportive intestinal environment and mitigate immunosuppression, achieving the eradication of both primary and distant colorectal tumors.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it