Despite significant progress in improving pregnancy outcomes in recent decades,
predicting the risk and treatment of preeclampsia are still major challenges in clinical
practice (1). The aim of this study was to examine non-routine biomarkers in preeclampsia
risk assessment. The study involved 90 women with high-risk pregnancies, 20 of whom
developed preeclampsia by the end of pregnancy. Biochemical parameters were determined
between the 12th and 13 th weeks of gestation. The results of the study showed that women
who later developed preeclampsia had higher concentrations of lathosterol, cholesterol
synthesis marker (p <0.05), inflammatory proteins - monocyte chemoattractant protein-1
(MCP-1), and resistin (p <0.01, both), as well as paraoxonase-1 (PON1) activity (p <0.05).
Binary logistic regression analysis showed that higher concentrations of lathosterol, MCP-1,
resistin, and PON-1 were associated with preeclampsia development. To determine whether
the parameters significant in univariate analysis, are independent predictors of
preeclampsia, we applied multivariate regression analysis. Clinical markers commonly used
in risk assessment (maternal age and body mass index, mean arterial pressure, and uterine
blood flow), lathosterol, MCP-1, resistin, and PON-1 were included in the model. MCP-1 and
resistin stood out as significant independent predictors of preeclampsia. The diagnostic
accuracy of the investigated model was excellent (AUC=0.859). The study results indicated
the importance of a multi-marker approach in risk assessment for preeclampsia
development.Uprkos značajnom napretku u poboljšanju ishoda trudnoće poslednjih decenija,
predviđanje rizika i terapija preeklampsije su još uvijek veliki izazovi u kliničkoj praksi (1).
Cilj ove studije je bio ispitivanje biomarkera koji se ne koriste u rutinskoj praksi u proceni
rizika za razvoj preeklampsije. U studiji je učestvovalo 90 žena sa visokorizičnim
trudnoćama, od kojih je 20 razvilo preeklampsiju do kraja trudnoće. Biohemijski parametri
su određivani između 12. i 13. nedelje gestacije. Rezultati studije su pokazali da su žene koje
su razvile preeklampsiju imale više koncentracije latosterola, markera sinteze holesterola (p
<0,05), inflamatornih proteina - monocitnog hemoatraktantnog proteina-1 (MCP-1) i
rezistina (p < 0,01, oba), kao i aktivnost enzima paraoksonaze-1 (PON1) (p <0,05). Binarna
logistička regresiona analiza je pokazala da su više koncentracije latosterola, MCP-1,
rezistina i PON-1 povezane sa razvojem preeklampsije. Da bi se utvrdilo da su parametri koji
su se u univarijantnoj analizi pokazali značajnim, nezavisni prediktori preeklampsije,
primjenili smo multivarijantnu regresionu analizu. U model su ušli klinički parametri koji se
uobičajeno koriste u procjeni rizika (starost i indeks tjelesne mase majke, srednji arterijski
pritisak i protok krvi kroz matericu), latosterol, MCP-1, rezistin i PON-1. MCP-1 i rezistin su
se istakli kao značajni nezavisni prediktori preeklampsije. Pokazana je odlična dijagnostička
tačnost ispitivanog modela (AUC=0,859). Rezultati ove studije su ukazali na značaj
multimarkerskog pristupa u procjeni rizika za razvoj preeklampsije.VIII Kongres farmaceuta Srbije sa međunarodnim učešćem, 12-15.10.2022. Beogra
