The Underlying Molecular Mechanisms of the Placenta Accreta Spectrum: A Narrative Review.
Erik Lizárraga-VerdugoSaúl Armando Beltrán-OntiverosErick Paul Gutiérrez-GrijalvaMarisol Montoya-MorenoPerla Y Gutiérrez-ArzapaloMariana Avendaño-FélixKarla Paola Gutiérrez-CastroDaniel E Cuén-LazcanoPaul González-QuinteroCarlos Ernesto MoraPublished in: International journal of molecular sciences (2024)
Placenta accreta spectrum (PAS) disorders are characterized by abnormal trophoblastic invasion into the myometrium, leading to significant maternal health risks. PAS includes placenta accreta (invasion < 50% of the myometrium), increta (invasion > 50%), and percreta (invasion through the entire myometrium). The condition is most associated with previous cesarean deliveries and increases in chance with the number of prior cesarians. The increasing global cesarean rates heighten the importance of early PAS diagnosis and management. This review explores genetic expression and key regulatory processes, such as apoptosis, cell proliferation, invasion, and inflammation, focusing on signaling pathways, genetic expression, biomarkers, and non-coding RNAs involved in trophoblastic invasion. It compiles the recent scientific literature (2014-2024) from the Scopus, PubMed, Google Scholar, and Web of Science databases. Identifying new biomarkers like AFP, sFlt-1, β-hCG, PlGF, and PAPP-A aids in early detection and management. Understanding genetic expression and non-coding RNAs is crucial for unraveling PAS complexities. In addition, aberrant signaling pathways like Notch, PI3K/Akt, STAT3, and TGF-β offer potential therapeutic targets to modulate trophoblastic invasion. This review underscores the need for interdisciplinary care, early diagnosis, and ongoing research into PAS biomarkers and molecular mechanisms to improve prognosis and quality of life for affected women.
Keyphrases
- cell migration
- pi k akt
- cell proliferation
- signaling pathway
- poor prognosis
- cell cycle arrest
- systematic review
- oxidative stress
- palliative care
- genome wide
- type diabetes
- risk assessment
- copy number
- transcription factor
- cell death
- metabolic syndrome
- climate change
- adipose tissue
- insulin resistance
- pain management
- induced apoptosis
- pregnancy outcomes
- machine learning
- chronic pain
- preterm birth