Hormone phase dependency of neural responses to chemoreflex-driven sympathoexcitation in young women using hormonal contraceptives
Bibliographic record
Abstract
Hormone fluctuations in women may influence muscle sympathetic nerve activity (MSNA) in a manner dependent on the severity of the sympathoexcitatory stimulus. This study examined MSNA patterns at rest and during chemoreflex stimulation in low- (LH) vs. high-hormone (HH) phases of contraceptive use in healthy young women (n = 7). We tested the hypothesis that MSNA would be greater in the HH phase at baseline and in response to chemoreflex stimulation. MSNA recordings were obtained through microneurography in LH and HH at baseline, during rebreathing causing progressive hypoxia and hypercapnia, and during a hypercapnic-hypoxic end-inspiratory apnea. Baseline MSNA burst incidence (P = 0.03) and burst frequency (P = 0.02) were greater in the HH phase, while MSNA burst amplitude distributions and hemodynamic measures were similar between phases. Rebreathing elicited increases in all MSNA characteristics from baseline (P < 0.05), but was not associated with hormone phase-dependent changes to MSNA patterns. Apnea data were considered in two halves, both of which caused large increases in all MSNA variables from baseline in each hormone phase (P < 0.01). Increases in burst incidence and frequency were greater in LH during the first half of the apnea (P = 0.03 and P = 0.02, respectively), while increases in burst amplitude and total MSNA were greater in LH during the second half of the apnea (P < 0.05). These results indicate that change in hormone phase brought on through use of hormonal contraceptives influences MSNA patterns such that baseline MSNA is greater in the HH phase, but responses to severe chemoreflex stimulation are greater in the LH phase.
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 | 0.001 |
| 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) | 0.001 | 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 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".