Effects of hyperglycemia and resveratrol on the processes of implant osseointegration and peri-implant bone remodeling: Revealed by non-linear analysis
Bibliographic record
Abstract
Hyperglycemia is detrimental to bone healing and quality. Oral administration of resveratrol may have protective effects on bone repair. This study investigated the impact of resveratrol on the bone anchorage of microtopographic or nanotopographic implants placed in the tibiae of hyperglycemic and euglycemic rats. Blood glucose, body weight, and implant removal torque were measured. Anchorage during the process of osseointegration, and later bone remodeling, were quantified by fitting a biphasic asymptotic curve. We hypothesized that resveratrol would enhance the process of osseointegration and reverse the detrimental effects of hyperglycemia. Hyperglycemic animals had elevated blood sugar levels and reduced weight gain; neither affected by resveratrol. Nanotopographic implant removal torque was increased by 1.2 times ( p = 0.0002, 95 % CI [1.1,1.3]) compared to microtopographic implants. At 84 days, linear modeling indicated that the untreated hyperglycemic groups’ removal torque values were half of the untreated euglycemic groups’ ( p = 0.0005, 95 % CI [0.3,0.8]). This reduction in anchorage is associated with less virtual distal implant drift. Resveratrol treatment increased anchorage in hyperglycemic rats by 1.8 times ( p = 0.005, 95 % CI [1.1,2.8]), returning measurements to euglycemic levels. Higher bone anchorage was seen for nanotopographic implants, compared to microtopographic implants during the process of osseointegration, but the nanotopographic surface provided no further advantage during bone remodeling. The hyperglycemic condition significantly reduced bone anchorage at later time points, which was eradicated by resveratrol administration. These results may be explained by hyperglycemia and resveratrol disrupting and recovering microcirculation respectively, indicating that resveratrol affects microcirculation rather than the process of bone remodeling.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".