Pre-eclampsia and maternal–fetal conflict
Notice bibliographique
Résumé
Pre-eclampsia, a pregnancy disorder defined clinically by maternal hypertension and proteinuria, affects 5–10% of pregnancies and is a major cause of perinatal morbidity and mortality [1]. In healthy pregnancy, placental tissue invades maternal uterine arteries causing reduced arterial elasticity and promoting blood supply to the placenta. In early-onset pre-eclampsia (<34 weeks) this invasion is inadequate, resulting in stressed placentas deprived of blood flow and often yielding growth-restricted fetuses. In late-onset pre-eclampsia (≥34 weeks) the condition is characterized more by defects in maternal cardiovascular health than by inadequate placental invasion. In both cases, the results are a pro-inflammatory maternal immune environment, hypertension and blood vessel damage in kidney, liver and brain [2]. The multiple risk factors of pre-eclampsia include poor maternal cardiovascular health (including hypertension and obesity), presence of risk alleles and lack of extended sexual exposure of the mother to the father prior to conception [3]. Pre-eclampsia is common only in humans (which have the most invasive form of mammalian placenta). It is reported rarely in other great apes and absent in non-apes. Parent-offspring conflict [4] may underlie the evolutionary maintenance of pre-eclampsia despite its burden of mortality. Increased placental invasion and intimacy of maternal–fetal contact is associated with increased prenatal growth rates (but not absolute size) of brain and body [5, 6]. Since mothers and offspring have different optimal gestation lengths and growth rates, there will be conflict over these phenotypes. One additional benefit to the fetus of invasive placentation is that the metabolic costs of detoxifying harmful byproducts of oxygen metabolism (i.e. oxidative stress) can be offloaded onto the mother by direct secretion of pro-inflammatory substances into her blood [7]. Consequently, alleles promoting or suppressing invasion (of benefit to fetus and mother, respectively) persist in the population and may cause disease in certain genetic combinations or maternal health states. Conflict over placental invasion may be exacerbated by high human prenatal brain growth rates which, along with the unusually long human gestation length, may explain pre-eclampsia’s high frequency in humans but rarity in species with less-demanding fetal brain growth trajectories. Humans have unusually low fecundability, which promotes extended preconception interaction between couples, potentially reducing pre-eclampsia risk through development of maternal tolerance of paternal antigens [3]. Genetic conflict should be expected in all pregnancies and may lead to medical complications. It may be of psychological benefit for expectant parents to anticipate conflict and its potential consequences from the beginning of pregnancy, instead of viewing pregnancy as maternal–fetal harmony. Many mammals exhibit drastically reduced placental invasion in normal pregnancy. Understanding how these species combine low placental invasion with fetal and maternal wellbeing, and how evolutionary transitions between placental types have occurred [7], may contribute to our knowledge of human placental disorders.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».