Imidazole-based erythrocyte markers of oxidative stress in preeclampsia--an NMR investigation.

Using (1)H-nuclear magnetic resonance (NMR) spectroscopy and statistical models, we sought to identify ''biomarkers'' present in erythrocytes that would distinguish between women with normal pregnancy and those suffering from preeclampsia, and investigate possible links with previously identified plasma ''markers.'' Erythrocytes from 22 normotensive pregnant women and 15 preeclamptics were analyzed by (1)H Carr-Purcell-Meiboom-Gill (CPMG) NMR. Multivariate analysis and logistic regression were applied to differentiate between the 2 groups of patients, and used to develop a diagnostic model based on the concentrations of the constituents identified as being influential.

Aromatic amino acid biomarkers of preeclampsia--a nuclear magnetic resonance investigation.

Objectives: There is conflicting literature regarding the correlation between aromatic amino acid concentrations and the occurrence of preeclampsia (PE). The object of this study was to test whether these molecules could enable discrimination between healthy and preeclamptic pregnancies when detected using (1)H nuclear magnetic resonance spectroscopy.

Methods: Plasma samples from 11 normotensive and 11 preeclamptic pregnant women were analyzed using (1)H-NMR.

Gestational effects on host inflammatory response in normal and pre-eclamptic pregnancies.

Objective: Pre-eclampsia (PET) remains a leading cause of maternal and neonatal morbidity and mortality. Although its pathophysiology involves an underlying inflammatory dysfunction, it is unclear how this may be affected by increasing gestational age, particularly in relation to the time of onset of disease. Murine studies have indicated that a progressive increase in serum inflammatory profile is a physiological feature of normal gestation.

Plasma from women with preeclampsia has a low lipid and ketone body content--a nuclear magnetic resonance study.

Objective: Using (1)H-nuclear magnetic resonance spectroscopy and chemometrics, we sought to establish the metabolic profile for preeclampsia and to identify biomarkers that would permit a distinction between women with a normal pregnancy and those suffering from preeclampsia.

Methods: Plasma samples from 11 normotensive pregnant women and 11 women with preeclampsia were analyzed. Principal component analysis was applied to differentiate between the two groups of patients.