Classification of preeclampsia according to molecular clusters with the goal of achieving personalized prevention

J Reprod Immunol. 2024 Feb:161:104172. doi: 10.1016/j.jri.2023.104172. Epub 2023 Nov 30.

Abstract

The prevention of pre-eclampsia is difficult due to the syndromic nature and multiple underlying mechanisms of this severe complication of pregnancy. The current clinical distinction between early- and late-onset disease, although clinically useful, does not reflect the true nature and complexity of the pathologic processes leading to pre-eclampsia. The current gaps in knowledge on the heterogeneous molecular pathways of this syndrome and the lack of adequate, specific diagnostic methods are major obstacles to early screening and tailored preventive strategies. The development of novel diagnostic tools for detecting the activation of the identified disease pathways would enable early, accurate screening and personalized preventive therapies. We implemented a holistic approach that includes the utilization of different proteomic profiling methods of maternal plasma samples collected from various ethnic populations and the application of systems biology analysis to plasma proteomic, maternal demographic, clinical characteristic, and placental histopathologic data. This approach enabled the identification of four molecular subclasses of pre-eclampsia in which distinct and shared disease mechanisms are activated. The current review summarizes the results and conclusions from these studies and the research and clinical implications of our findings.

Keywords: Extracellular matrix-related pre-eclampsia; Liquid biopsy; Maternal anti-fetal rejection-type pre-eclampsia; Metabolic pre-eclampsia; Personalized medicine; Placental pre-eclampsia; Prenatal diagnosis; Proteomics; Screening.

Publication types

  • Review

MeSH terms

  • Biomarkers / metabolism
  • Female
  • Goals
  • Humans
  • Placenta / metabolism
  • Pre-Eclampsia* / diagnosis
  • Pre-Eclampsia* / prevention & control
  • Pregnancy
  • Pregnancy Trimester, First
  • Proteomics

Substances

  • Biomarkers