Targeting pain mediators induced by injured nerve-derived COX2 and PGE2 to treat neuropathic pain
Bibliographic record
Abstract
INTRODUCTION: Neuropathic pain (NeP) is an intractable chronic pain condition which severely deteriorates the quality of life of 6% of the population. Caused by direct physical damage or diseases of the nervous system responsible for pain generation and transmission, NeP is manifested as spontaneous pain, hyperalgesia and allodynia. Its treatment is a challenging and unmet medical need. It is generally accepted that inflammatory mediators over-produced in injured nerves play a crucial role in the initiation and maintenance of NeP. AREAS COVERED: Among numerous inflammatory mediators, cyclooxygenase 2 (COX2) and its end product prostaglandin E2 (PGE2) are persistently up-regulated in infiltrating macrophages and Schwann cells in injured nerves and contribute to the development of NeP. In a NeP rat model and an ex vivo model of sensory ganglion explant culture, injured nerve-derived COX2 and PGE2 facilitate the synthesis of pain mediators including neuropeptides, ion channels, cytokines and neurotrophins in primary sensory neurons. EXPERT OPINION: Stimulating the synthesis of pain mediators in primary sensory neurons is a novel mechanism underlying the contribution of injured nerve-derived COX2 and PGE2 to the genesis of NeP. Targeting COX2/PGE2/EP signaling in injured nerves through local administration could open a novel therapeutic avenue to treat this debilitating disease.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".