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1.
Placenta ; 154: 88-109, 2024 Jun 24.
Artículo en Inglés | MEDLINE | ID: mdl-38943922

RESUMEN

Fetal growth restriction and underlying placental insufficiency are associated with increased oxidative stress. Current diagnostics fail to identify all growth restricted fetuses and newborns, due to focus on small size. This scoping review aims to summarize the available evidence on usefulness of cord blood oxidative stress biomarkers for identification of growth restricted newborns in need of monitoring and support because of associated health risks. MEDLINE and EMBASE were searched from inception to May 2024. Studies were included if oxidative stress biomarkers were measured in cord blood collected immediately after delivery in newborns suspected to be growth restricted. Biomarkers were categorized based on the origin and/or biological function and their interrelationships. Oxidative stress was determined for each individual biomarker and category. Literature search identified 78 studies on 39 different biomarkers, with a total of 2707 newborns with suspected growth restriction, and 4568 controls. Total oxidant/antioxidant status, catalase, glutathione, ischemia-modified albumin, and nucleated red blood cells were most consistently associated with suspected growth restriction. Reactive oxygen species/reactive nitrogen species, factors in their production, antioxidant enzymes, non-enzymatic antioxidants, and products of oxidative stress were not consistently associated. This review collates the evidence of associations between cord blood oxidative stress biomarkers and growth restriction. Total oxidant/antioxidant status, catalase, glutathione, ischemia-modified albumin, and nucleated red blood cells could potentially be candidates for developing a cord blood diagnostic tool for future clinical use.

2.
Am J Obstet Gynecol MFM ; 6(8): 101394, 2024 Jun 03.
Artículo en Inglés | MEDLINE | ID: mdl-38838956

RESUMEN

BACKGROUND: Unfavorable lipid profile is associated with pregnancy disorders characterized by uteroplacental dysfunction, including hypertensive disorders of pregnancy, preterm birth and fetal growth restriction. None of current tools used to predict the risk of pregnancy complications include lipid levels. OBJECTIVE(S): In this study, we examined the association of preconception lipid profile with pregnancy disorders characterized by uteroplacental dysfunction in a multi-ethnic population, aiming to improve the identification of women at high risk for uteroplacental dysfunction using current prediction models. STUDY DESIGN: We conducted a linkage study combining lipid profile collected in the multi-ethnic HELIUS study (Amsterdam, 2011-2015), linked with national perinatal registry data on pregnancy complications after inclusion until 2019. We included 1177 women of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, and Moroccan origin. Associations were studied using Poisson regression. The discriminative ability was assessed for different pregnancy complications of significantly associated lipid parameters when added to commonly used prediction tools for preeclampsia. RESULTS: Preconception triglyceride level was associated with prevalence of hypertensive disorders of pregnancy (e^triglyceride level (mmol/L) adjusted prevalence ratio 1.07, 95% CI 1.00 to 1.14). Age-adjusted prevalence of hypertensive disorders of pregnancy was also higher among women with high LDL-C level, high TC/HDL-C or ≥4 adverse lipid parameters, but most of these findings were not statistically significant when adjusted for demographic, lifestyle and medical characteristics. Addition of triglyceride level and other lipid parameters to the NICE guideline criteria and to the EXPECT prediction tool did not improve discriminative ability for hypertensive disorders of pregnancy, preterm birth or fetal growth restriction. CONCLUSION(S): Lipid profile did not aid in the identification of women at high risk for pregnancy disorders characterized by uteroplacental dysfunction. Further studies are needed to improve preconception prediction models for hypertensive disorders of pregnancy and other pregnancy disorders characterized by uteroplacental dysfunction using biomarkers or other easily available measurements.

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