Context: Gestational diabetes (GDM) influences the fetal phenotype.
Objective: In the present study, our aim was to determine the effect of GDM specifically on fetal brain activity.
Design: Pregnant participants underwent an oral glucose tolerance test (OGTT, 75 g). At 0, 60, and 120 minutes, maternal metabolism was determined, and fetal auditory evoked fields were recorded with a fetal magnetoencephalographic device.
Setting: All measurements were performed at the fMEG Center in Tübingen.
Participants: Twelve women with GDM and 28 normal glucose-tolerant (NGT) pregnant women participated on a voluntary basis.
Interventions: OGTT (75 g, 120 minutes) was used in this study.
Main Outcomes And Measures: Fetal auditory evoked response latencies were determined for this study.
Results: In the fetuses of NGT women, latencies decreased between 0 and 60 minutes from 260 ± 90 to 206 ± 74 ms (P = .008) and remained stable until 120 minutes (206 ± 74 vs 230 ± 79, P =.129). In fetuses of women with GDM, there was no change in response latencies during OGTT (P = .11). Sixty minutes after glucose ingestion, fetal latencies in the GDM group were longer than in the NGT group (296 ± 82 vs 206 ± 74 ms, P = .001). Linear regression revealed a significant effect of maternal glucose, insulin levels, and insulin sensitivity on response latencies after 60 minutes.
Conclusions: Fetal postprandial brain responses were slower in the offspring of women with GDM. This might indicate that gestational diabetes directly affects fetal brain development and may lead to central nervous insulin resistance in the fetus.
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http://dx.doi.org/10.1210/jc.2015-2692 | DOI Listing |
Cureus
December 2024
Plastic Surgery, Shri Guru Ram Rai Institute of Medical & Health Sciences, Dehradun, IND.
Pregnancy issues such as gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) are significant contributors to long-term cardiovascular diseases (CVDs) in women. Recent research has proved the impact of exercise on improving cardiovascular outcomes, particularly in women with pregnancy-related disorders. This review explores the outcomes of various exercise interventions on cardiovascular health in pregnant women.
View Article and Find Full Text PDFCureus
December 2024
Department of Family Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Jeddah, SAU.
Objectives This study analyzed the practices and findings on postpartum type 2 diabetes mellitus (T2DM) screening among pregnant women with gestational diabetes mellitus (GDM). Methods A retrospective cohort study was conducted at a tertiary care center in Western Saudi Arabia, between January 1, 2016, and December 31, 2018. It involved 642 nondiabetic women with a confirmed diagnosis of GDM, who were followed until delivery.
View Article and Find Full Text PDFEndocr Metab Immune Disord Drug Targets
January 2025
Department of Genetics, School of Biology and Basic Medical Sciences, Suzhou Medical College Soochow University, Suzhou 215123, China.
Background: There is still no conclusive understanding of whether the glucokinase regulator (GCKR) gene rs780094 and rs1260326 polymorphisms predispose to gestational diabetes mellitus (GDM).
Objective: This systematic review and meta-analysis aimed to determine the effect of the GCKR polymorphisms on GDM susceptibility.
Methods: Seven literature databases were searched (from inception to February 17, 2024) to locate relevant studies included in further meta-analysis.
BMJ Open
December 2024
EPIunit and Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto Instituto de Saude Publica, Porto, Portugal.
Introduction: Pre-eclampsia is a pregnancy-related complication estimated to affect up to 8% of pregnancies worldwide. It is associated with an increased risk of postpartum sustained hypertension, coronary artery disease, cerebrovascular disease, peripheral arterial disease and cardiovascular-related mortality. Nevertheless, these associations have seldom been addressed in younger women from sub-Saharan Africa (SSA).
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Nursing, The Affiliated Hospital of Medical College Qingdao University, Qingdao, Shandong, 266003, China.
Background: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Methods: A comprehensive and systematic search was conducted in Pubmed, Cochrane, Embase, and Web of Science up to July 02, 2024. The quality of the studies included was assessed.
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