Abnormal expression and clinical significance of miR-146a in the peripheral blood mononuclear cells of patients with type 2 diabetic peripheral neuropathy
Bibliographic record
Abstract
Objective To investigate the expression levels of miR-146a in the peripheral blood mononuclear cells(PBMCs)of patients with diabetic peripheral neuropathy(DPN)and their correlation with the disease severity. Methods The expression levels of miR-146a in the PBMCs were measured by using real time PCR in 62 patients with type 2 diabetes(32 patients without DPN, 30 with DPN)and 33 healthy individuals. The correlation of miR-146a expression with clinical parameters was analyzed. Results The expression level of miR-146a in patients with type 2 diabetes mellitus was significantly lower than that in the healthy individuals((1.92±1.99 vs 4.15±1.56, P<0.05). Furthermore, the miR-146a level was significantly lowered in diabetic patients with DPN as compared with those without DPN(1.22±1.61 vs 2.51±2.00, P<0.05). The expression levels of miR-146a in patients with DPN were positively correlated with duration of diabetes, blood glucose, and Toronto clinical scoring system scores. Conclusion The decreased expression of miR-146a in patients with DPN is correlated with the severity of DPN.(Chin J Endocrinol Metab, 2015, 31: 748-751) Key words: Diabetes mellitus, type 2; miR-146a; Diabetic peripheral neuropathy
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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".