Cardiovascular malformations are the most common manifestation of diabetic embryopathy. The molecular mechanisms underlying the teratogenic effect of maternal diabetes have not been fully elucidated. Using genome-wide expression profiling, we previously demonstrated that exposure to maternal diabetes resulted in dysregulation of the hypoxia-inducible factor 1 (HIF-1) pathway in the developing embryo. We thus considered a possible link between HIF-1-regulated pathways and the development of congenital malformations. HIF-1α heterozygous-null (Hif1a(+/-)) and wild type (Wt) littermate embryos were exposed to the intrauterine environment of a diabetic mother to analyze the frequency and morphology of congenital defects, and assess gene expression changes in Wt and Hif1a(+/-) embryos. We observed a decreased number of embryos per litter and an increased incidence of heart malformations, including atrioventricular septal defects and reduced myocardial mass, in diabetes-exposed Hif1a(+/-) embryos as compared to Wt embryos. We also detected significant differences in the expression of key cardiac transcription factors, including Nkx2.5, Tbx5, and Mef2C, in diabetes-exposed Hif1a(+/-) embryonic hearts compared to Wt littermates. Thus, partial global HIF-1α deficiency alters gene expression in the developing heart and increases susceptibility to congenital defects in a mouse model of diabetic pregnancy.
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http://dx.doi.org/10.1016/j.yjmcc.2013.04.015 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Ginekol Pol
January 2025
Department of Obstetrics and Perinatology, Jagiellonian University Medical College, Cracow, Poland, Poland.
Objectives: To evaluate relationship between sFlt-1/PlGF ratio, clinical characteristics and outcomes of pre-eclampsia.
Material And Methods: Retrospective analysis of 29 pregnant women with pre-eclampsia who had measured sFlt-1/PlGF ratio was conducted using electronic medical records from Obstetrics and Perinatology ward of University Hospital in Cracow.
Results: Women median age: 33.
Ginekol Pol
January 2025
Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan, China, China.
O: BJECTIVES: Circular RNAs (circRNAs) are known to be associated with the progression of gestational diabetes mellitus (GDM). Thus, the objective of this study was to unveil the influnce and potential mechanism of hsa_circ_0002768 in GDM. M: ATERIAL AND: METHODS: Levels of hsa_circ_0002768 were quantified by RT-qPCR.
View Article and Find Full Text PDFNiger Med J
January 2025
Department of Internal Medicine, Federal Medical Centre, Yenagoa, Bayelsa State, Nigeria.
Background: The prevalence of gestational diabetes mellitus (GDM) is dependent on the diagnostic criteria used and there is no consensus on screening methods and diagnostic criteria. The International Association for Diabetes in Pregnancy Study Group (IADPSG) recently put forward new diagnostic criteria and encourages its adoption worldwide. The aim of this study was to determine the incidence of GDM and to compare the foeto-maternal outcomes of women diagnosed with GDM in the Federal Medical Centre, Yenagoa using the WHO 1999 and IADPSG criteria.
View Article and Find Full Text PDFDiabetol Int
January 2025
Department of Public Health, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.
Background: Depression and gestational diabetes mellitus (GDM) pose significant challenges during pregnancy. Limited literature exists on depression in women with GDM, with most studies focusing on pre-pregnancy diabetes or postpartum depression. This study fills a crucial gap by specifically investigating and comparing antenatal depression among subjects with and without GDM in Bangladesh, utilizing data from the gestational period.
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