Gestation-Induced Uterine Vascular Remodeling
Bibliographic record
Abstract
Uterine blood supply is a critical issue for fetal well-being, since it carries all the nutrients, including O2, required for fetal growth and gets rid of several fetal waste products. During pregnancy, uterine blood flow increases by almost 20 times and this is permitted by marked remodeling of the vessel wall. In the rat, uterine arterial remodeling takes place in the last 7-8 days of gestation (over 22) and is reversible in the postpartum period upon a similar time frame. It was also described as both hypertrophy and hyperplasia of all the constituents of the vascular wall. Several hypotheses have been proposed to explain such a phenomenon, including the driving role not only of sexual steroid hormones, progesterone and estrogens, but also of trophic factors of fetal origin. We have shown that alterations of the renin-angiotensin-aldosterone system, by manipulating sodium intake in the rats, reduced the pregnancy-induced remodeling of uterine arteries. These maneuvres resulted in the birth of pups that had characteristics of intrauterine growth restriction or in the development in the mother of "experimental" gestational hypertension, depending on, respectively, restriction or increased of sodium intake.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".