m+Medelevator.RU
← Поиск публикаций
Journal of reproductive immunology · 2015

MRI-based methods to detect placental and fetal brain abnormalities in utero.

СтатьяПоддержка исследования: вне правительства СШАОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Girardi Guillermina

Аннотация

There are very few methods for screening women for pregnancy complications. Identification of pregnancies at risk would be of enormous clinical significance as would influence decisions made about pregnancy management and delivery. Adverse pregnancy outcomes such as obstetric antiphospholipid syndrome (APS) and preterm birth (PTB), characterized by placental insufficiency and abnormal fetal brain development, in mice and humans have been associated with activation of inflammatory pathways, in particular the complement cascade. Recently, antibodies against C3 activation products conjugated with contrast agent ultrasmall superparamagnetic iron oxide (USPIO) nanoparticles were used to detect non-invasively sites of inflammation within the placenta and the fetal brain in mouse models of APS and PTB. In utero, magnetic resonance imaging (MRI)-based detection of C3 deposition in the placenta in the APS model was associated with signs of placental insufficiency and intrauterine growth restriction. In both models, fetal brain C3 deposition was associated with cortical axonal cytoarchitecture disruption and increased neurodegeneration. Proton magnetic resonance spectroscopy ((1)H MRS), another non invasive method, is used to identify metabolic abnormalities to predict fetal brain abnormalities. This review describes the recent development of preclinical MRI-based methods for the detection of inflammatory markers of placental insufficiency and abnormal fetal brain development and metabolism to predict pregnancy outcomes.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты