Molecular Biomarkers for Timely and Personalized Prediction of Maternal-Fetal Health Risk

Area of Science:

• Maternal-fetal medicine
• Biomarker discovery
• Genomics and proteomics

Background:

• Placental dysfunction is critical in pregnancy complications like preeclampsia.
• Conventional methods (ultrasound, Doppler) have limitations in early prediction.
• Molecular biomarker profiling offers a comprehensive assessment of placental function.

Purpose of the Study:

• To review the potential of molecular biomarker profiling for early detection and prediction of placental dysfunction.
• To explore how analyzing maternal blood biomarkers can enhance understanding of placental health.
• To highlight the need for biomarker validation and clinical integration.

Main Methods:

• Analysis of proteins, metabolites, and microRNAs (miRNAs) in maternal blood.
• Review of current literature on molecular biomarker profiling in maternal-fetal health.
• Exploration of challenges and future directions in the field.

Main Results:

• Molecular biomarker profiling provides deeper insights into placental endocrine and metabolic functions.
• This approach can aid in the early detection and prediction of pregnancy complications.
• Identified challenges include linking molecular changes to pathologies and clinical integration.

Conclusions:

• Molecular biomarker profiling is a significant tool for predicting placental dysfunction.
• Improved understanding of placental health through biomarkers can enhance maternal and fetal outcomes.
• Further validation and clinical integration of biomarkers are crucial for practice.