Introduction to the Proteomic Analysis of Placentas with Fetal Growth Restriction and Impaired Lipid Metabolism

Fetal growth restriction (FGR) is a disorder defined as the failure of a fetus to achieve its full biological development potential due to decreased placental function, which can be attributed to a range of reasons. FGR is linked to negative health outcomes during the perinatal period, including increased morbidity and mortality. Long-term health problems, such as impaired neurological and cognitive development, as well as cardiovascular and endocrine diseases, have also been found in adulthood. Aspirin administered prophylactically to high-risk women can effectively prevent FGR. FGR pregnancy care comprises several steps, including the weekly assessment of several blood vessels using Doppler measurements, amniotic fluid index (AFI), estimated fetal weight (EFW), cardiotocography (CTG), as well as delivery by 37 weeks. Pregnancy is a complex condition characterized by metabolic adjustments that guarantee a consistent provision of vital metabolites allowing the fetus to grow and develop. The lipoprotein lipid physiology during pregnancy has significant consequences for both the fetus and baby, and for the mother. In the course of a typical pregnancy, cholesterol levels increase by roughly 50%, LDL-C (low-density lipoprotein cholesterol) levels by 30-40%, HDL-C by 25% (high-density lipoprotein cholesterol). Typically, there is also a 2- to 3-fold increase in triglycerides. Low maternal blood cholesterol levels during pregnancy are linked to a decrease in birth weight and an increased occurrence of microcephaly. FGR impacts the placenta during pregnancy, resulting in alterations in lipid metabolism. Research has been undertaken to distinguish variations in protein expression between normal placentas and those impacted by FGR. This can aid in comprehending the fundamental pathogenic mechanisms of FGR and perhaps pave the way for the creation of novel diagnostic and treatment methods. Commonly employed approaches for detecting and analyzing variations in placental proteomes include mass spectrometry, bioinformatic analysis, and various proteomic techniques.