Sympathetic neurovascular regulation during pregnancy: A longitudinal case series study
Bibliographic record
Abstract
New Findings What is the main observation in this case? The main observation of this case report is that during pregnancy there is a progressive sympatho‐excitation in basal conditions and under stress, which is offset by a concurrent reduction in neurovascular transduction. Strong correlations between autonomic nervous system activity and sex hormones (oestrogen and progesterone), vasopressin and aldosterone were found. What insights does it reveal? Our findings suggest that hormonal surges might be associated with central sympathetic activation. Abstract The adaptations of sympathetic nerve activity (SNA) during pregnancy remain poorly understood. An increase in blood volume, cardiac output and SNA, with a concomitant drop in total peripheral resistance (TPR), suggest that during pregnancy there is a reduced transduction of SNA into TPR. Most of these findings have originated from cross‐sectional studies; thus, we conducted a longitudinal assessment of SNA and TPR in two participants. Measurements were made before pregnancy (early follicular phase), on four occasions during pregnancy and at 2 months postpartum. Mean arterial pressure and cardiac output were used to calculate TPR. The SNA was measured using microneurography (peroneal nerve). There was a gestation‐dependent increase in SNA burst frequency (r2 = 0.96, P = 0.009). Neurovascular transduction, however, decreased by 53% in both women. Sympathetic hyperactivity was reversed postpartum, whereas neurovascular transduction remained lower. These longitudinal data highlight the progressive sympatho‐excitation of pregnancy, which is offset by a concurrent reduction in neurovascular transduction.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".