Some aspects of the pathogenesis of placenta accreta spectrum (PAS): pathohistology, molecular mechanisms and biomarkers (literature review)

Aim - to study the current state of the pathogenesis of abnormal placental invasion, existing scientific research and potential future ways of predicting and screening for abnormal placental invasion in pregnant women. To identify relevant information on placenta accreta spectrum (PAS) for the review, a database of modern scientific literature (2014–2024) was analyzed namely, from such scientific-metric databases as Scopus, PubMed, Google Scholar and the Web of Science databases. This review is to analyze the current literature on the molecular mechanisms and pathological signaling pathways associated with PAS. We assessed the state of the available data on the role of some proteins, chemokines and other biomarkers of trophoblastic invasion. In addition, we reviewed the data on the participation of epigenetic modifications and genes in key regulatory processes of trophoblastic invasion, including apoptosis, cell proliferation, invasion and inflammation. Conclusion: Investigation of signaling pathways involved in the pathogenesis of PAS may provide valuable tools for the development of targeted therapies. Therapeutic strategies targeting these pathways may potentially inhibit abnormal placental invasion and angiogenesis. The authors declare no conflict of interest.

Authors

Publication Details

Journal
UKRAINIAN JOURNAL HEALTH OF WOMAN
Published
2025-03-05
DOI
https://doi.org/10.15574/hw.2025.1(176).8398
Primary Topic
Maternal and fetal healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Some aspects of the pathogenesis of placenta accreta spectrum (PAS): pathohistology, molecular mechanisms and biomarkers (literature review)

Sergiy G. Gychka, D.О. Govsіeіev, N.V. Gerevich, V.I. Bilyi et al.
UKRAINIAN JOURNAL HEALTH OF WOMAN
Maternal and fetal healthcare
article

Some aspects of the pathogenesis of placenta accreta spectrum (PAS): pathohistology, molecular mechanisms and biomarkers (literature review)

Sergiy G. Gychka, D.О. Govsіeіev, N.V. Gerevich, V.I. Bilyi, S.M. Vapelnyk
article en

Abstract

Aim - to study the current state of the pathogenesis of abnormal placental invasion, existing scientific research and potential future ways of predicting and screening for abnormal placental invasion in pregnant women. To identify relevant information on placenta accreta spectrum (PAS) for the review, a database of modern scientific literature (2014–2024) was analyzed namely, from such scientific-metric databases as Scopus, PubMed, Google Scholar and the Web of Science databases. This review is to analyze the current literature on the molecular mechanisms and pathological signaling pathways associated with PAS. We assessed the state of the available data on the role of some proteins, chemokines and other biomarkers of trophoblastic invasion. In addition, we reviewed the data on the participation of epigenetic modifications and genes in key regulatory processes of trophoblastic invasion, including apoptosis, cell proliferation, invasion and inflammation. Conclusion: Investigation of signaling pathways involved in the pathogenesis of PAS may provide valuable tools for the development of targeted therapies. Therapeutic strategies targeting these pathways may potentially inhibit abnormal placental invasion and angiogenesis. The authors declare no conflict of interest.

UKRAINIAN JOURNAL HEALTH OF WOMAN(1(176))
Openalex Percentile: Top 85%
Maternal and fetal healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.