Amygdaloid Corticotropin-releasing Factor is Involved in the Anxiolytic Effect of Acupuncture during Ethanol Withdrawal in Rats
Bibliographic record
Abstract
In a previous study, acupuncture at acupoint HT7 attenuated ethanol withdrawal-induced anxiety-like behavior in rats by normalizing amygdaloid catecholamines. In the present study, the involvement of amygdaloid corticotropin-releasing factor (CRF) in the anxiolytic effect of acupuncture was investigated during ethanol withdrawal. Rats were intraperitoneally treated with 3 g /kg/day of ethanol for 28 days, and the CRF mRNA levels in the central nucleus of the amygdala (CEA) were measured by using a RT-PCR analysis 72 hours after the last dose of ethanol. During ethanol withdrawal, the rats were bilaterally treated with acupuncture at acupoints HT7, PC6 or at a non-acupoint (Tail) for one min/day for three days. Also, rats were bilaterally injected with CRF into the CEA five minutes after the third acupuncture treatment, after which followed by the elevated-plus maze (EPM) test and the plasma corticosterone radioimmunoassay (RIA) were administered. The RT-PCR analysis showed a significant increase in the amygdaloid CRF mRNA levels in the ethanol-withdrawn rats compared with both the saline-treated rats and the rats treated with acupuncture at HT7, but neither acupuncture at PC6 nor acupuncture at a non-acupoint significantly inhibited the increased mRNA expression. The EPM test and the RIA also showed that the post-acupuncture infusion of CRF greatly reduced the anxiolytic effect of acupuncture at HT7. These results suggest that during ethanol withdrawal, the anxiolytic effect of acupuncture may be mediated through the modulation of amydaloid CRF during ethanol withdrawal.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".