Abstract P142: Regulation of Brain Derived Neurotrophic Fractor (BDNF) Expression by Angiotensin II in the Adrenals and the Brain
Bibliographic record
Abstract
Circulating Ang II activates central angiotensinergic pathways, and an amplifying aldosterone (aldo)-MR-ENaC-AT 1 R neuromodulatory pathway which are critical for several forms of hypertension. We hypothesized that in addition Ang II increases BDNF expression in both the CNS and adrenal which plays a balancing role against Ang II excitatory actions. In the 1 st exp, Wistar rats were sc infused with Ang II at the high dose of 500 ng/kg/min for 7days. In the 2 nd exp, rats were treated with regular salt diet (0.4% NaCl), high salt diet (2% NaCl), sc Ang II at the low dose of 150 ng/kg/min, or sc Ang II with high salt diet for 14 days. In the 3 rd exp, MR blockers (eplerenone, spironolactone), ENaC blocker (benzamil), AT 1 R blocker (losartan) or vehicles (Veh) were icv infused combined with Ang II-salt. In the 4 th exp, rats were sc infused with aldo (1μg/hr) with saline as drinking fluid. mRNA levels of BDNF were measured by real-time qPCR. In the adrenals, Ang II dose-related increased BDNF mRNA, and Ang II-salt further enhanced BDNF mRNA. High dose Ang II increased BDNF mRNA in the RVLM but not in the PVN. Central blockades markedly decreased Ang II-salt induced BDNF expression in the adrenal cortex. In contrast, saline alone or aldo-saline decreased BDNF mRNA in the adrenal cortex with no effect in the PVN. Central blockades lower Ang II-salt induced BDNF expression in the adrenal, indicating that a central regulatory mechanism plays a role in adrenal BDNF expression. Activation of BDNF by Ang II -modulated by salt-, may provide an important balancing mechanism both centrally and peripherally for Ang II associated hypertension.
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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".