Bisphosphonate-coated BSA nanoparticles lack bone targeting after systemic administration
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
A polymeric conjugate of polyethyleneimine-graft-poly(ethylene glycol) and 2-(3-mercaptopropylsulfanyl)-ethyl-1,1-bisphosphonic acid (PEI-PEG-thiolBP) was prepared and used for surface coating of bovine serum albumin (BSA) nanoparticles (NPs) designed for bone-specific delivery of bone morphogenetic protein-2 (BMP-2). The NP coating was achieved with a dialysis and an evaporation method, and the obtained NPs were characterized by particle size, zeta-potential, morphology, and cytotoxicity in vitro. The particle size and surface charge of the NPs could be effectively tuned by the PEG and thiolBP substitution ratios of the conjugate, the coating method, and the polymer concentration used for coating. The PEG modification on PEI reduced the toxicity of PEI and the coated NPs, based on in vitro assessment with human C2C12 cells and rat bone marrow stromal cells. On the basis of an alkaline phosphatase (ALP) induction assay, the NP-encapsulated BMP-2 displayed full retention of its bioactivity, except for BMP-2 in PEI-coated NPs. By encapsulating (125)I-labeled BMP-2, the polymer-coated NPs were assessed for hydroxyapatite (HA) affinity; all NP-encapsulated BMP-2 showed significant affinity to HA as compared with free BMP-2 in vitro, and the PEI-PEG-thiolBP coated NPs improved the in vivo retention of BMP-2 compared with uncoated NPs. However, the biodistribution of NPs after intravenous injection in a rat model indicated no beneficial effects of thiolBP-coated NPs for bone targeting. Our results suggested that the BP-conjugated NPs are useful for localized delivery of BMP-2 in bone repair and regeneration, but they are not effective for bone targeting after intravenous administration.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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