Effects of inhibiting the PI3K/Akt/mTOR signaling pathway on the pain of sciatic endometriosis in a rat model
Bibliographic record
Abstract
This study investigated the relationship between the pain of sciatic endometriosis and the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) signaling pathway. Adult female Sprague-Dawley rats successfully received sciatic endometriosis induction. Mechanical paw withdrawal threshold and paw withdrawal latency were recorded to assess the mechanical hypersensitivity and thermal hyperalgesia. Quantitative real-time PCR, Western blotting, and enzyme-linked immunosorbent assays were used to detect PI3K, Akt, and mTOR expressions and their phosphorylation as well as the expressions of substance P, calcitonin gene-related peptide (CGRP), and nerve growth factor (NGF). Mechanical paw withdrawal threshold and paw withdrawal latency significantly decreased after sciatic endometriosis induction in rats; this decrease was ameliorated by inhibiting the PI3K/Akt/mTOR signaling pathway using LY294002. Compared with controls, rats with sciatic endometriosis showed increased PI3K, Akt, and mTOR expressions and elevated p-PI3K, p-Akt, and p-mTOR protein expressions. Higher NGF, substance P, and CGRP expressions were also found in the superficial dorsal horn of the spinal cord in rats with sciatic endometriosis than in control rats 21 days after surgery. Following the injection of LY294002 into rats with sciatic endometriosis, there was a significant decrease in the expressions of NGF, substance P, and CGRP. In conclusion, the inhibition of the PI3K/Akt/mTOR signaling pathway may alleviate endometriosis-associated sciatic nerve pain in a rat model of sciatic endometriosis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".