Supramolecularly engineered bacteria mediated calcium overload and immunotherapy of tumors
Bibliographic record
Abstract
Intracellular Ca 2+ nanogenerators, such as calcium carbonate, calcium peroxide, and calcium phosphate nanoparticles, have shown promise in calcium overload-mediated tumor therapy.However, their effectiveness is often hampered by poor targeting, low accumulation, and limited penetration into tumor cells, leading to suboptimal therapeutic outcomes.This strategy aims to achieve synergistic Ca 2+ overload and immunotherapy of tumors.Methods: A supramolecular conjugate of engineered living bacteria (facultative anaerobic Salmonella typhimurium VNP20009, VNP) with CaCO3 nanoparticles was developed for targeted delivery of curcumin-loaded CaCO3 into tumors.Results: Both CaCO3 nanoparticles and the loaded Ca 2+ efflux inhibiting agent, curcumin (CUR), demonstrated significant enhancement of intracellular Ca 2+ overload, resulting in apoptosis of tumor cells via mitochondrial dysfunction.Moreover, VNP exhibited excellent tumor-targeting ability, colonization in tumor tissues, and anticancer activity with minimal side effects.Conclusion: The conjugate of VNP and CaCO3 not only enhances the efficiency of common cancer treatments but also synergizes Ca 2+ overload with cancer immunotherapy, thereby offering a promising approach for improving therapeutic outcomes in cancer treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".