Superparamagnetic polyhemoglobin-tyrosinase nanocapsules: a novel biotherapeutic with enhanced tumor suppression with control by external magnetic field
Bibliographic record
Abstract
Introduction: Our recent study shows nanobiotherepeutic Polyhemoglobin-Tyrosinase-Nanocapsules (PolyHb-Tyr-Nano) have strong anti-tumor abilities in multiple cancer lines. However, despite their tumor inhibitory potential, some internal tumor sites can be difficult to reach. Methods: In this paper, based on Chang's original finding that artificial cells containing magnetic material can be controlled by external magnetic fields, using nanoprecipitation methods, we modified this biotechnological nanotherapeutic with superparamagnetic properties, which shown to be attracted and guided by external magnets. Results: By fluorescence microscopy, we show that external magnetic field improved the local deposition of the nanorobotic superparamagnetic PolyHb-Tyr-nano at the tumor microenvironment (TME), significantly preventing their clearance, to stay at the tumor site despite repeated washings. This allowed time for them to enter the tumor cells to act intracellularly. In cell proliferation tests and tumor migration study, their tumor inhibitory action on the four cancer cell lines: Hepa 1-6 liver cancer line, A549 lung cancer line, HeLa cervical cancer line, and MCF7 breast cancer line are also retained effective, a low cell viability and tumor migration was observed. Furthermore, the addition of superparamagnetic property has enhanced the nanocapsules uptake and tumor inhibitory abilities, significantly improved their drug effect on tumor cells. Via cell viability test, PAL assay, oxidative stress detection, and mitochondria membrane potential studies, the PolyHb-Tyr-nano has shown improved tumor killing, by amino acid reduction, reactive oxygen species (ROS) generation, to mitochondria activity reduction in the presence of external magnetic fields. Discussion: Our results showed the efficacy of the nanorobotic superparamagnetic PolyHb-Tyr-nano on anti-tumor effect in multiple cancer lines. This novel nanobiotherapeutic has the potential for future cancer therapy, and can enhance drug localization, targeted delivery, and combination therapies.
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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) | 0.000 | 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 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".