Vascular endothelial growth factor-A (VEGFA) is normally expressed at high levels in the human placenta, and lower levels have been observed in placental tissue of women with recurrent pregnancy loss. The objective of this study was to determine if genetic polymorphisms in the VEGFA gene associated with altered gene expression play a role in some cases of recurrent pregnancy loss (RPL). A case-control study of 99 women with RPL and 181 fertile controls was performed evaluating four common VEGFA polymorphisms associated with altered gene expression (-2578 C/A, -1154 G/A, -634 G/C, and +936 C/T). The allele frequency of the -2578 A allele was lower among women with RPL compared to fertile controls (0.39 vs. 0.48, p=0.049), while the allele frequency of the -634 C allele was higher among women with RPL compared to fertile controls (0.39 vs. 0.29, p=0.020). Women with RPL and controls had similar allele frequencies for the -1154 and +936 minor alleles. We conclude that some allelic polymorphisms associated with altered expression of VEGFA are more common among women with RPL compared to fertile controls.
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http://dx.doi.org/10.1016/j.jri.2010.06.159 | DOI Listing |
Acta Obstet Gynecol Scand
December 2024
The Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Introduction: Recurrent pregnancy loss (RPL), defined as two or more pregnancy losses, might be associated with elevated obstetrical and perinatal risks in the following pregnancies. RPL and pregnancy problems related to placental development may have similar etiological features. This study explores the incidences of pregnancy and perinatal outcomes in women with RPL.
View Article and Find Full Text PDFHum Reprod
December 2024
Department of Obstetrics and Gynecology, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Aichi, Japan.
Study Question: Can antinuclear antibodies (ANA) affect the subsequent live birth rate (LBR) in patients with unexplained recurrent pregnancy loss (RPL) in the absence of antiphospholipid antibodies (aPL)?
Summary Answer: Women with unexplained RPL have a high probability of live birth following a positive pregnancy test (>70%), being similar between those with positive and negative ANA testing, regardless of the cut-off value.
What Is Known Already: The RPL guidelines of the ESHRE state that 'ANA testing can be considered for explanatory purposes'. However, there have been a limited number of studies on this issue and sample sizes have been small, and the impact of ANA on the pregnancy prognosis is unclear.
Minerva Obstet Gynecol
December 2024
Department of Obstetrics and Gynecology, Campinas University (UNICAMP), Campinas, Brazil.
Reproductive failures, such as recurrent pregnancy loss (RPL) and recurrent implantation failures (RIF) are a major challenge for reproductive medicine. The current management of RPL and RIF cases identifies some causes for unsuccessful pregnancy in up to half of patients. Several studies have suggested that immune disorders are responsible for an important portion of unexplained cases of RPL and RIF.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Department of Obstetrics & Gynecology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Background: The treatment for recurrent pregnancy loss (RPL) has been addressed in international guidelines. However, limited studies have investigated the risk factors associated with pregnancy and live birth outcomes in patients with RPL after treatment. The objective of this study was to offer a comprehensive assessment of the risk factors for pregnancy loss in patients with a history of RPL following therapeutic interventions.
View Article and Find Full Text PDFJ Matern Fetal Neonatal Med
December 2025
Department of First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Purpose: This review aims to identify and analyze the risk factors associated with recurrent pregnancy loss (RPL) and to evaluate the effectiveness of various predictive models in estimating the risk of RPL. The review also explores recent advancements in machine learning algorithms that can enhance the accuracy of these predictive models. The ultimate goal is to provide a comprehensive understanding of how these tools can aid in the personalized management of women experiencing RPL.
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