Association between Caveolin-1 expression and pathophysiological progression of femoral nerves in diabetic foot amputation patients
Bibliographic record
Abstract
Abstract Objective To evaluate the pathological changes of femoral nerves and the levels of caveolin-1 in diabetic foot amputation patients with neuropathy, and evaluate the association between caveolin-1 and neuropathy development. Method Thirty seven diabetic foot amputation patients were consecutively recruited from inpatients of Tianjin Metabolic Diseases Hospital between Jan 2003 and Nov 2005. Symptoms and signs of neuropathy, and scores of Toronto Clinical Scoring System (TCSS) were recorded. The nerve conduction velocity and HbA1c were measured. Femoral nerves were obtained 2-3 minutes after amputation. HE, Masson staining and transmission electron microscopy were used for pathological observation. Immunohistochemistry was used to observe changes of axons and count of nerve fiber density (NFD) and detect the levels of caveolin-1. Results HE, Masson and transmission electron microscopy showed nerve fibers were asymmetrical, the degenerated axons part had stronger staining and typical demyelinating changes. Stepwise regression models showed that HbA1c and NFD were the independent factors of caveolin-1 (F=45.090, p<0.001, R2=0.790) expression, and Caveolin-1, diabetes duration were independent factors of NFD (F=27.911, p<0.001, R2=0.691). Conclusion Caveolin-1 may be one of the key factors related to pathophysiological progression of femoral nerves in diabetic foot amputation patients.
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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 | 0.001 |
| 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 | 0.000 |
| 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".