Pharmacokinetics of intranasal amiloride in healthy volunteers
Bibliographic record
Abstract
Anxiety and panic disorders are the most common mental illnesses in the United States and lack effective treatment options. Acid-sending ion channels (ASICs) in the brain were shown to be associated with fear conditioning and anxiety responses and therefore are potential targets for treating panic disorder. Amiloride is an inhibitor of the ASICs in the brain and was shown to reduce panic symptoms in preclinical animal models. An intranasal formulation of amiloride will be highly beneficial to treat acute panic attacks due to advantages such as the rapid onset of action and patient compliance. The aim of this single-center, open-label trial was to evaluate the basic pharmacokinetics (PKs) and safety of amiloride after intranasal administration in healthy human volunteers at three doses (0.2, 0.4, and 0.6 mg). Amiloride was detected in plasma within 10 min of intranasal administration and showed a biphasic PK profile with an initial peak within 10 min of administration followed by a second peak between 4 and 8 h of administration. The biphasic PKs indicate an initial rapid absorption via the nasal pathway and later slower absorption by non-nasal pathways. Intranasal amiloride exhibited a dose-proportional increase in the area under the curve and did not exhibit any systemic toxicity. These data indicate that intranasal amiloride is rapidly absorbed and safe at the doses evaluated and can be further considered for clinical development as a portable, rapid, noninvasive, and nonaddictive anxiolytic agent to treat acute panic attacks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".