Bioengineered Microrobot for Targeted and Autonomous Eradication of <i>Helicobacter pylori</i>
Bibliographic record
Abstract
Helicobacter pylori (H. pylori) infection remains a major challenge in gastric disease treatment, with conventional antibiotic therapies hindered by poor gastric retention, lack of specificity, and the growing threat of bacterial resistance. To address these limitations, we introduce a novel bioengineered robotic system inspired by icebreakers, integrating multi-functional nanomaterials for targeted, autonomous, and efficient H. pylori eradication. Our micro-robots combine a platinum nanozyme-based calcium carbonate complex with chitosan (Cs) modification, gastric epithelial cell membranes (CM) coating, and pronase (P) incorporation, enabling selective targeting and autonomous motility. Upon gastric acid exposure, this system undergoes controlled decomposition, generating carbon dioxide to propel movement, releasing pronase to penetrate and degrade mucus barriers, and deploying Pt nanozymes for deep bacterial eradication. This multi-modal mechanism significantly enhances gastric retention, precision targeting, and therapeutic effectiveness. Our in vitro and in vivo studies validate its superior antibacterial activity, biocompatibility, and its unprecedented ability to mitigate H. pylori-induced inflammation while preserving intestinal microbiota balance. By combining bioengineering, nanotechnology, and autonomous propulsion, this innovation represents a paradigm shift in H. pylori therapy, offering a precise, efficient, and resistance-mitigating alternative to conventional treatments.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".