Placental Dysfunction in Assisted Reproductive Pregnancies: Perinatal, Neonatal and Adult Life Outcomes.
Claudio MannaValentina LacconiGiuseppe RizzoAntonino De LorenzoMicol MassimianiPublished in: International journal of molecular sciences (2022)
Obstetric and newborn outcomes of assisted reproductive technology (ART) pregnancies are associated with significative prevalence of maternal and neonatal adverse health conditions, such as cardiovascular and metabolic diseases. These data are interpreted as anomalies in placentation involving a dysregulation of several molecular factors and pathways. It is not clear which extent of the observed placental alterations are the result of ART and which originate from infertility itself. These two aspects probably act synergically for the final obstetric risk. Data show that mechanisms of inappropriate trophoblast invasion and consequent altered vascular remodeling sustain several clinical conditions, leading to obstetric and perinatal risks often found in ART pregnancies, such as preeclampsia, fetal growth restriction and placenta previa or accreta. The roles of factors such as VEGF, GATA3, PIGF, sFLT-1, sEndoglin, EGFL7, melatonin and of ART conditions, such as short or long embryo cultures, trophectoderm biopsy, embryo cryopreservation, and supraphysiologic endometrium preparation, are discussed. Inflammatory local conditions and epigenetic influence on embryos of ART procedures are important research topics since they may have important consequences on obstetric risk. Prevention and treatment of these conditions represent new frontiers for clinicians and biologists involved in ART, and synergic actions with researchers at molecular levels are advocated.
Keyphrases
- pregnant women
- pregnancy outcomes
- hiv infected
- antiretroviral therapy
- preterm birth
- public health
- gestational age
- electronic health record
- big data
- healthcare
- gene expression
- type diabetes
- risk factors
- adipose tissue
- metabolic syndrome
- birth weight
- high resolution
- transcription factor
- risk assessment
- health information
- vascular endothelial growth factor
- mass spectrometry
- deep learning
- artificial intelligence
- machine learning
- endothelial cells
- human health
- polycystic ovary syndrome
- weight loss
- molecularly imprinted
- simultaneous determination
- fine needle aspiration