α2-Adrenergic Receptors in Human Dorsal Root Ganglia
Bibliographic record
Abstract
BACKGROUND: Nonselective alpha2-adrenergic receptor (alpha2AR) agonists (e.g., clonidine) mediate antinociception in part through alpha2ARs in spinal cord dorsal horn; however, use of these agents for analgesia in humans is limited by unwanted sedation and hypotension. The authors previously demonstrated alpha2a approximately alpha2b > > > alpha2c mRNA in human spinal cord dorsal horn cell bodies. However, because 20% of dorsal horn alpha2ARs derive from cell bodies that reside in the associated dorsal root ganglion (DRG), it is important to evaluate alpha2AR expression in this tissue as well. Therefore, the authors evaluated the hypothesis that alpha2b mRNA, alpha2c mRNA, or both are present in human DRG. METHODS: Molecular approaches were used to determine alpha2AR expression in 28 human DRGs because of low overall receptor mRNA expression and small sample size. After creation of synthetic competitor cDNA and establishment of amplification conditions with parallel efficiencies, competitive reverse transcription polymerase chain reaction was performed using RNA isolated from human DRG. RESULTS: Overall expression of alpha2AR mRNA in DRG is low but reproducible at all spinal levels. alpha2b and alpha2cAR subtype mRNAs predominate (alpha2b approximately alpha2c), accounting for more than 95% of the total alpha2AR mRNA in DRG at all human spinal nerve root levels. CONCLUSIONS: Predominance of alpha2b and alpha2cAR mRNA in human DRG is distinct from alpha2AR mRNA expression in cell bodies originating in human spinal cord dorsal horn, where alpha2a and alpha2b predominate with little or absent alpha2c expression. These findings also highlight species heterogeneity in alpha2AR expression in DRG. If confirmed at a protein level, these findings provide an additional step in unraveling mechanisms involved in complex neural pathways such as those for pain.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".