862 resultados para Gestational Diabetes Mellitus


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Background: The main manifestation of hyperglycaemia during pregnancy is gestational diabetes mellitus. It can herald diabetes mellitus type 2 and its deleterious long-term effects, such as hypertension and cardiovascular disease. The aim of this study was to assess diastolic function in women with gestational diabetes mellitus, one of the first signs of future cardiovascular disease.Methods: A total of 21 women with gestational diabetes mellitus and 23 healthy pregnant women (control group) between 34 and 37weeks of gestation underwent echocardiographic assessment. The diagnosis of gestational diabetes mellitus was made in agreement with the American Diabetes Association criteria. Echocardiographic images obtained were analysed according to the criteria of the American Society of Echocardiography. Data were analysed using Pearson correlation coefficient, analysis of variance and Student's t-test.Results: Women with gestational diabetes mellitus had higher posterior wall and interventricular septum thickness, increased left ventricular mass and left ventricular mass index, lower early diastolic annular velocity and early diastolic annular velocity/late diastolic annular velocity ratio. There was a positive correlation between left ventricular mass index and fasting glucose and pregnancy body mass index.Conclusion: Patients with gestational diabetes mellitus seem to have a different diastolic profile as well as a mildly dysfunctional pattern on echocardiogram, which may show a need for greater glycaemic control.

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The effects of pregestational and gestational low-to-moderate physical training on insulin secretion in undernourished mothers were evaluated. Virgin female Wistar rats were divided into four groups as follows: control (C, n = 5); trained (T, n = 5); low-protein diet (LP, n = 5); trained with a low-protein diet (T + LP, n = 5). Trained rats ran on a treadmill over a period of 4 weeks before mate (5 days week(-1) and 60 min day(-1), at 65% of VO2max). At pregnancy, the intensity and duration of the exercise were reduced. Low-protein groups were provided with an 8% casein diet, and controls were provided with a 17% casein diet. At third day after delivery, mothers and pups were killed and islets were isolated by collagenase digestion of pancreas and incubated for a further 1 h with medium containing 5.6 or 16.7 mM glucose. T mothers showed increased insulin secretion by isolated islets incubated with 16.7 mM glucose, whereas LP group showed reduced secretion of insulin by isolated islets when compared with both C and LP + T groups. Physical training before and during pregnancy attenuated the effects of a low-protein diet on the secretion of insulin, suggesting a potential role for compensation of insulin resistance and preventing gestational diabetes mellitus.

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Abstract Background Regardless the regulatory function of microRNAs (miRNA), their differential expression pattern has been used to define miRNA signatures and to disclose disease biomarkers. To address the question of whether patients presenting the different types of diabetes mellitus could be distinguished on the basis of their miRNA and mRNA expression profiling, we obtained peripheral blood mononuclear cell (PBMC) RNAs from 7 type 1 (T1D), 7 type 2 (T2D), and 6 gestational diabetes (GDM) patients, which were hybridized to Agilent miRNA and mRNA microarrays. Data quantification and quality control were obtained using the Feature Extraction software, and data distribution was normalized using quantile function implemented in the Aroma light package. Differentially expressed miRNAs/mRNAs were identified using Rank products, comparing T1DxGDM, T2DxGDM and T1DxT2D. Hierarchical clustering was performed using the average linkage criterion with Pearson uncentered distance as metrics. Results The use of the same microarrays platform permitted the identification of sets of shared or specific miRNAs/mRNA interaction for each type of diabetes. Nine miRNAs (hsa-miR-126, hsa-miR-1307, hsa-miR-142-3p, hsa-miR-142-5p, hsa-miR-144, hsa-miR-199a-5p, hsa-miR-27a, hsa-miR-29b, and hsa-miR-342-3p) were shared among T1D, T2D and GDM, and additional specific miRNAs were identified for T1D (20 miRNAs), T2D (14) and GDM (19) patients. ROC curves allowed the identification of specific and relevant (greater AUC values) miRNAs for each type of diabetes, including: i) hsa-miR-1274a, hsa-miR-1274b and hsa-let-7f for T1D; ii) hsa-miR-222, hsa-miR-30e and hsa-miR-140-3p for T2D, and iii) hsa-miR-181a and hsa-miR-1268 for GDM. Many of these miRNAs targeted mRNAs associated with diabetes pathogenesis. Conclusions These results indicate that PBMC can be used as reporter cells to characterize the miRNA expression profiling disclosed by the different diabetes mellitus manifestations. Shared miRNAs may characterize diabetes as a metabolic and inflammatory disorder, whereas specific miRNAs may represent biological markers for each type of diabetes, deserving further attention.

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The purpose of this study was to assess the expression profile of genes with potential role in the development of insulin resistance (adipokines, cytokines/chemokines, estrogen receptors) in subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and placenta of pregnant women with gestational diabetes mellitus (GDM) and age-matched women with physiological pregnancy at the time of Caesarean section. qRT-PCR was used for expression analysis of the studied genes. Leptin gene expression in VAT of GDM group was significantly higher relative to control group. Gene expressions of interleukin-6 and interleukin-8 were significantly increased, whereas the expressions of genes for estrogen receptors alpha and beta were significantly reduced in SAT of GDM group relative to controls, respectively. We found no significant differences in the expression of any genes of interest (LEP, RETN, ADIPOR1, ADIPOR2, TNF-alpha, CD68, IL-6, IL-8, ER alpha, ER beta) in placentas of women with GDM relative to controls. We conclude that increased expression of leptin in visceral adipose depot together with increased expressions of proinflammatory cytokines and reduced expressions of estrogen receptors in subcutaneous fat may play a role in the etiopathogenesis of GDM.

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Physiology and current knowledge about gestational diabetes which led to the adoption of new diagnostic criterias and blood glucose target levels during pregnancy by the Swiss Society for Endocrinology and Diabetes are reviewed. The 6th International Workshop Conference on Gestational Diabetes mellitus in Pasedena (2008) defined new diagnostic criteria based on the results of the HAPO-Trial. These criteria were during the ADA congress in New Orleans in 2009 presented. According to the new criteria there is no need for screening, but all pregnant women have to be tested with a 75 g oral glucose tolerance test between the 24th and 28th week of pregnancy. The new diagnostic values are very similar to the ones previously adopted by the ADA with the exception that only one out of three values has to be elevated in order to make the diagnosis of gestational diabetes. Due to this important difference it is very likely that gestational diabetes will be diagnosed more frequently in the future. The diagnostic criteria are: Fasting plasma glucose > or = 5.1 mmol/l, 1-hour value > or = 10.0 mmol/l or 2-hour value > or = 8.5 mmol/l. Based on current knowledge and randomized trials it is much more difficult to define glucose target levels during pregnancy. This difficulty has led to many different recommendations issued by diabetes societies. The Swiss Society of Endocrinology and Diabetes follows the arguments of the International Diabetes Federation (IDF) that self-blood glucose monitoring itself lacks precision and that there are very few randomized trials. Therefore, the target levels have to be easy to remember and might be slightly different in mmol/l or mg/dl. The Swiss Society for Endocrinology and Diabetes adopts the tentative target values of the IDF with fasting plasma glucose values < 5.3 mM and 1- and 2-hour postprandial (after the end of the meal) values of < 8.0 and 7.0 mmol/l, respectively. The last part of these recommendations deals with the therapeutic options during pregnancy (nutrition, physical exercise and pharmaceutical treatment). If despite lifestyle changes the target values are not met, approximately 25 % of patients have to be treated pharmaceutically. Insulin therapy is still the preferred treatment option, but metformin (and as an exception glibenclamide) can be used, if there are major hurdles for the initiation of insulin therapy.

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The MobiGuide system provides patients with personalized decision support tools, based on computerized clinical guidelines, in a mobile environment. The generic capabilities of the system will be demonstrated applied to the clinical domain of Gestational Diabetes (GD). This paper presents a methodology to identify personalized recommendations, obtained from the analysis of the GD guideline. We added a conceptual parallel part to the formalization of the GD guideline called "parallel workflow" that allows considering patient?s personal context and preferences. As a result of analysing the GD guideline and eliciting medical knowledge, we identified three different types of personalized advices (therapy, measurements and upcoming events) that will be implemented to perform patients? guiding at home, supported by the MobiGuide system. These results will be essential to determine the distribution of functionalities between mobile and server decision support capabilities.

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BACKGROUND/OBJECTIVES: To describe the diet quality of a national sample of Australian women with a recent history of gestational diabetes mellitus (GDM) and determine factors associated with adherence to national dietary recommendations. SUBJECTS/METHODS: A postpartum lifestyle survey with 1499 Australian women diagnosed with GDM p3 years previously. Diet quality was measured using the Australian recommended food score (ARFS) and weighted by demographic and diabetes management characteristics. Multinominal logistic regression analysis was used to determine the association between diet quality and demographic characteristics, health seeking behaviours and diabetes-related risk factors. RESULTS: Mean (±s.d.) ARFS was 30.9±8.1 from a possible maximum score of 74. Subscale component scores demonstrated that the nuts/legumes, grains and fruits were the most poorly scored. Factors associated with being in the highest compared with the lowest ARFS quintile included age (odds ratio (OR) 5-year increase=1.40; 95% (confidence interval) CI:1.16–1.68), tertiary education (OR=2.19; 95% CI:1.52–3.17), speaking only English (OR=1.92; 95% CI:1.19–3.08), being sufficiently physically active (OR=2.11; 95% CI:1.46–3.05), returning for postpartum blood glucose testing (OR=1.75; 95% CI:1.23–2.50) and receiving riskreduction advice from a health professional (OR=1.80; 95% CI:1.24–2.60). CONCLUSIONS: Despite an increased risk of type 2 diabetes, women in this study had an overall poor diet quality as measured by the ARFS. Women with GDM should be targeted for interventions aimed at achieving a postpartum diet consistent with the guidelines for chronic disease prevention. Encouraging women to return for follow-up and providing risk reduction advice may be positive initial steps to improve diet quality, but additional strategies need to be identified.

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OBJECTIVES To explore factors associated with postpartum glucose screening among women with Gestational Diabetes Mellitus (GDM). METHODS A retrospective study using linked records from women with GDM who gave birth at Cairns Hospital in Far North Queensland, Australia, from 1 January 2004 to 31 December 2010. RESULTS The rates of postpartum Oral Glucose Tolerance Test (OGTT) screening, while having increased significantly among both Indigenous* and non-Indigenous women from 2004 to 2010 (HR 1.15 per year, 95%CI 1.08-1.22, p<0.0001), remain low, particularly among Indigenous women (10% versus 27%, respectively at six months postpartum). Indigenous women in Cairns had a longer time to postpartum OGTT than Indigenous women in remote areas (HR 0.58, 0.38-0.71, p=0.01). Non-Indigenous women had a longer time to postpartum OGTT if they: were born in Australia (HR 0.76, 0.59-1.00, 0.05); were aged <25 years (HR 0.45, 0.23-0.89, p=0.02); had parity >5 (HR 0.33, 0.12-0.90, p=0.03); smoked (HR 0.48, 0.31-0.76, p=0.001); and did not breastfeed (HR 0.09, 0.01-0.64, p=0.02). CONCLUSIONS Postpartum diabetes screening rates following GDM in Far North Queensland are low, particularly among Indigenous women, with lower rates seen in the regional centre; and among non-Indigenous women with indicators of low socioeconomic status. IMPLICATIONS Strategies are urgently needed to improve postpartum diabetes screening after GDM that reach women most at risk.

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A Diabetes Mellitus Gestacional (DMG) pode ser definida como intolerância a carboidrato durante a gravidez e estima-se que pode afetar 10-22% de todas as pacientes grávidas. Durante a gravidez podem surgir diversas complicações para o feto como risco elevado de aborto espontâneo, anormalidades congênitas e morbidade e mortalidade neonatal. Entretanto, podem surgir também alterações morfofuncionais em diversos órgãos da mãe diabética, porém isso não é bem estabelecido. Investigar se haverá ou não alterações bioquímicas e histopatológicas em diversos órgãos, como hipófise, útero, placenta e pâncreas de ratas grávidas com diabetes mellitus durante e no final da gravidez e compará-las . Além disso, investigar se há alteração na matriz extracelular (MEC) da hipófise desses animais. No 5 dia de vida, ratas Wistar foram divididas em dois grupos: um tratado com estreptozotocina (Grupo Diabético / DIAB), na dose de 90 mg/kg, subcutâneo e outro grupo, que foi tratado com veículo (tampão citrato/CTR). Aos 90 dias de vidas, foram submetidas ao cruzamento. Após isso, foram sacrificadas no 11 e 21 dia de gravidez. Foram avaliados glicemia e bioquímica maternal e número de implantes .O pâncreas, útero, placenta e hipófises foram coradas com Hematoxilina e Eosina e somente as hipófises foram coradas com Massom e Picrosirius, para avaliação da MEC.Os animais diabéticos tanto do 11 quanto do 21 dia apresentaram uma redução no número de implantes, menor peso e maior glicemia e colesterol total, em relação aos animais controle independente do dia da gravidez. Não foi verificada diferença dos níveis de triglicerídeos entre os grupos não diabéticos e diabéticos, independente dos dias. Entretanto, os animais diabéticos que finalizaram o período de gestação apresentaram uma maior glicemia maternal em relação ao grupo diabético do 11 dia. Pâncreas de ratas diabéticas do 21 dia apresentaram vacuolização intracitoplasmática das ilhotas, insulite,migração de células inflamatórias, espessamento da parede do vaso e fibrose periductal e vascular. Essas alterações foram verificadas com bem menor intensidade nos animais diabéticos do 11 dia. Foi verificado que a placenta de animais diabéticos apresenta congestão na interface materno-fetal, migração celular, maior concentração de vasos maternos e fetais, mas em forma irregular , necrose e vacuolização. A hipófise de animais diabéticos mostraram células cromófobas agregadas, aumento da espessura de fibras de colágeno vermelhas da MEC, em contraste com o controle, que foi visualizado fibras em verde e em formato de feixe. A diabetes desempenhou um total remodelamento da hipófise. Gravidez de animais diabeticos mostraram maior dano ao pâncreas e placenta, especialmente no final da gravidez. Em consequência dessa alterações, esses animais diabéticos apresentaram hiperglicemia, maior colesterol total, porém menor peso materno, número de implantes e sem alterações nos triglicerídeos. Esse é o primeiro estudo a demonstrar remodelamento tecidual em alguns elementos da MEC na hipófise, como espessamento da camada da MEC e fibras de colágeno em verde. Alterações da MEC da hipófise são provavelmente devido ao processo de diabetes na gestação.

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Gestational diabetes mellitus (GDM) is glucose intolerance that begins or is first identified during pregnancy. GDM is associated with increased perinatal morbidity.1 In the long term women with GDM have a seven-fold risk of developing type 2 diabetes in later life compared to pregnancies with normal blood glucose levels.2 Recent research has centred on investigating the effect of treating GDM on pregnancy outcome, and defining the diagnostic criteria for GDM. This research has led to the recent recommendations from the International Association of Diabetes and Pregnancy Study Groups (IADPSG) for diagnosis of GDM.3 Prevalence of GDM has increased in recent years, alongside an increased prevalence of type 2 diabetes in the background population. Additionally, the adoption of IADPSG criteria has even further increased GDM prevalence almost three-fold in some populations.4

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The aim was to explore the perceptions of physical activity among women with previous gestational diabetes mellitus, in the context of preventing Type 2 diabetes mellitus.

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Introduction: For most women, gestational diabetes is temporary; however, an episode of gestational diabetes mellitus (GDM) confers an approximately seven-fold increased risk of developing type 2 diabetes mellitus. Objective: To examine readiness to adopt diabetes risk reduction behaviours and the prevalence of these behaviours among rural women with GDM during their last pregnancy.
Methods: The study design was a self-administered mailed questionnaire seeking information about demographics, stage of change, physical activity level and dietary fat intake. Setting: Regional outpatient context. Participants: Women with a single episode of GDM between 1 July 2001 and 31 December 2005 (n = 210). Main outcome measures: Stage of change for physical activity, weight loss and reducing dietary fat behaviour; meeting activity targets, body mass index (BMI) and dietary fat score.
Results: Eighty-four women returned completed questionnaires (40% response rate). Of the 77 women eligible (mean age 35 ± 3.8 years), 58% met recommended activity targets. Sixty-three percent of women were overweight or obese: mean BMI 29.6 kg/m2 (± 7.30). Women reported a high level of preparedness to engage in physical activity, weight loss and reduction of fat intake. Thirty-nine percent of women had not had any postpartum follow-up glucose screening. Women who remembered receiving diabetes prevention information were significantly more likely to meet physical activity targets (p<0.05).
Conclusions: Readiness to engage in behaviour change was high among this group of rural women for all three diabetes risk reduction behaviours measured. However, despite a high proportion of women meeting activity targets and reducing fat intake, the majority of women remained overweight or obese. Postpartum follow-up glucose testing needs to be improved and the impact of diabetes prevention information provided during pregnancy warrants further study.