Fas-mediated apoptosis and peripheral polyneuropathy in type 2 diabetes mellitus
Bibliographic record
Abstract
To evaluate the role of soluble Fas (sFas) and soluble Fas ligand (sFasL) in the pathogenesis of distal symmetrical polyneuropathy (DSPN) in patients with type 2 diabetes mellitus, and to analyze the relationship between these apoptotic markers with clinical parameters and electrophysiologic profile of DSPN, as well as with different diabetic factors among those patients. The study included 60 Egyptians with type 2 diabetes mellitus. All patients were evaluated clinically for DSPN by using Michigan Neuropathy Screening Instrument. Electrophysiological diagnosis of DSPN was based on the criteria suggested by the European Standardized Telematic tool to Evaluate Electrodiagnostic Methods group. Diabetic patients were divided into two groups according to the electrophysiological findings: group A included patients with DSPN (N=42), and group B included patients without DSPN (N=18). The severity of DSPN among group A patients was assessed clinically using Toronto Clinical Neuropathy Score and electrophysiologically by the severity score proposed by Hidasi and colleagues. The study also included 30 healthy volunteers as a control group. Serum levels of sFas and sFasL were assessed in all the studied groups. Serum level of sFas was significantly elevated in diabetic patients with DSPN compared with diabetics without DSPN and nondiabetic control (P=0.029 and 0.000). Receiver operating characteristic (ROC) curve analysis detected that sFas was statistically significant in discriminating between diabetic patients with DSPN from those patients without DSPN with an accuracy of 66%. The cutoff point that has the highest sensitivity (61%) and specificity (62%) was 33.3 ng/ml. Serum level of sFas showed a positive significant correlation with the electrophysiological severity of DSPN (P=0.020). Serum level of sFasL did not show statistically significant difference between all the studied groups. Fas-mediated apoptosis has an important role in the development of diabetic DSPN and is correlated with its electrophysiological severity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".