RAGE, Diabetes, and the Nervous System
Bibliographic record
Abstract
Longstanding diabetes mellitus targets kidney, retina, and blood vessels, but its impact upon the nervous system is another important source of disability. Diabetic peripheral neuropathy is a serious complication of inadequately treated diabetes leading to sensory loss, intractable neuropathic pain, loss of distal leg muscles, and impairment of balance and gait. Diabetes has been implicated as a cause of brain atrophy, white matter abnormalities, and cognitive impairment and a risk factor for dementia. Recent studies have incriminated advanced glycation end products (AGEs) and their receptor (RAGE) in the pathogenesis of diabetic nervous system complications. The availability of RAGE knockout mice and a competitive decoy for AGEs, soluble RAGE (sRAGE), has advanced our knowledge of the RAGE-mediated signalling pathways within the nervous system. They also provide hope for a future novel intervention for the prevention of diabetes-associated neurological complications. This review will discuss current knowledge of diabetes- and RAGE-mediated neurodegeneration, involving the distal-most level of epidermal nerve fibers in skin, major peripheral nerve trunks, dorsal root ganglia, spinal cord, and brain.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".