Low Beta-Adrenergic Sweat Responses in Cystic Fibrosis and Cystic Fibrosis Transmembrane Conductance Regulator-Related Metabolic Syndrome Children
Bibliographic record
Abstract
β-adrenergically stimulated sweat secretion depends on the function of the cystic fibrosis transmembrane conductance regulator (CFTR) and discriminates between cystic fibrosis (CF) patients and healthy controls. Therefore, we sought to determine the feasibility, safety, and efficacy of assaying β-adrenergic sweating in children identified by CF newborn screening to help determine prognoses for individuals with CFTR-related metabolic syndrome (CRMS). Preschool age children with a positive newborn screening test for CF participated in this cross-sectional study. Sweat rates were measured by evaporimetery (cyberDERM, inc.) as transepidermal water losses (g H 2 O/m 2 /h) before and after selectively stimulating sweat glands either cholinergically or β-adrenergically. Net peak sweat responses assayed as evaporation rates were compared between CF and CRMS cohorts. After a pilot test in adults, children between 4 and 6 years of age were evaluated (CF, n = 16; CRMS, n = 10). The test protocol was well tolerated; electrocardiograms and vital signs were within normal range for all subjects. The mean evaporative sweat rates in both groups in response to cholinergic stimulation were similar (CF, 60.3 ± 23.8; CRMS, 57.7 ± 13.9; p = 0.72) as well as to β-adrenergic stimulation (CF, 1.1 ± 1.7; CRMS, 2.0 ± 2.0; p = 0.14). The β-adrenergic sweat test is safe and well tolerated by young children. However, the β-adrenergic sweat secretion rates as measured by evaporimetery did not discriminate between CF and CRMS cohorts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".