Intradermal administration of atrial natriuretic peptide has no effect on sweating and cutaneous vasodilator responses in young male adults*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Atrial natriuretic peptide (ANP) increases during exercise in the heat wherein heat loss responses of sweating and cutaneous vasodilatation are activated. Hence ANP might be involved in the regulation of sweating and cutaneous vasodilatation. However, whether ANP directly mediates sweating and cutaneous vasodilatation needs to be clarified. Also, muscarinic receptor activation induces sweating and cutaneous vasodilatation, however, it remains to be determined whether ANP modulates these responses. In this study, in 11 young males (25 ± 5 years), cutaneous vascular conductance and sweat rate were assessed at intradermal microdialysis sites that were continuously perfused with either lactated Ringer (Control) or 3 different concentrations of ANP (0.1, 1, 10 µM). All 4 sites were co-administrated with methacholine, a muscarinic receptor agonist, in a dose-dependent fashion (0.0125, 0.25, 5, 100, and 2000 mM, 25 min for each). ANP at all concentrations did not increase sweat rate and cutaneous vascular conductance as compared with pre-ANP infusion values (all P > 0.05). Methacholine increased both sweat rate and cutaneous vascular conductance (all P ≤ 0.05). However, the responses were unaffected by co-administration of ANP relative to methacholine only, even as assessed in context of the methacholine concentration required to elicit 50% of the maximal response (EC50) (all P > 0.05). We show that exogenous ANP administration intradermally does not directly modulate sweating and cutaneous vasodilatation under room temperature conditions in resting young adults. Further, there is no effect of ANP on muscarinic sweating and cutaneous vasodilatation.
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.
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 | 0.002 |
| 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) | 0.000 | 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 it