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ABSTRACT: To determine whether the symptoms of metabolic syndrome (MS), if accompanied by oxidative stress (OS), in type 1 diabetes mellitus (DM) patients could affect the course of pregnancy and the perinatal outcome. Oxidized low density lipoproteins (ox-LDL) and total lipid peroxides (TLP) were studied in 98 pregnant women with type 1 DM in the I(st) and III(rd) trimesters. 24% of the participants met the criteria of MS. Vascular complications were significantly more frequent in the MS-group (41.9% vs. 17.4% in the non-MS group, p<0.05). No differences in the markers of OS between the MS and the non-MS groups were noted in either the I(st) or the III(rd) trimester. A significant gestational rise in Per-Ox was found in both groups. Chronic hypertension was associated with significant differences in ox-LDL levels in both the I(st) and III(rd) trimester. No differences in perinatal outcome, as measured by abnormal birth weight or poor neonatal status (Apgar score<6, umbilical venous and/or arterial pH<7.20), were found. Conclusions: 1) MS in type 1 DM is associated with some changes in markers of oxidative stress, but it poses no additional risk to the course of pregnancy and perinatal outcome in properly controlled and treated pregnant women with type 1 DM. 2) Maternal hypertension is the only component of MS in diabetic pregnancy that is associated with significant changes in markers of oxidative stress. 3) MS is significantly more frequent in diabetic pregnant women with co-existing vascular complications and obesity.
Journal of physiology and pharmacology: an official journal of the Polish Physiological Society 10/2011; 62(5):567-73. · 2.27 Impact Factor
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ABSTRACT: Some authors consider the vascular endothelium to be a target organ in diabetes. However, there have only been a few studies of the function of the maternal endothelium during pregnancy in women with diabetes. We analysed the relationship between maternal vascular endothelial dysfunction and fetal growth in such pregnancies.
Markers of endothelial dysfunction (serum concentration of sE-selectin and sVCAM-1) were measured at admission (baseline) and before delivery in 97 women with pregestational diabetes and a singleton pregnancy,. After delivery, the group with pregestational diabetes was divided retrospectively according to neonatal birthweight into three groups-appropriate, small and large for gestational age- and the maternal variables were analysed in relation to birthweight.
The baseline concentration of sE-selectin was significantly higher in the large-for-gestational-age group vs. the small-for-gestational-age group (median: 53.1 vs. 39.0 ng/ml, P<0.05). The concentration of sVCAM-1 at baseline was significantly higher in the small-for-gestational-age vs. the appropriate- and large-for-gestational-age groups (median: 846.2 vs. 576.8 and 524.1 ng/ml, respectively; P<0.01 and P<0.001, respectively). The concentration of sE-selectin at baseline and gestational changes in the concentration of sVCAM-1 were related to birthweight. The baseline concentrations of sE-selectin and sVCAM-1 and the gestational change in sVCAM-1 concentration were predictive factors for large for gestational age (cut-off values: 45.0, 644.6 and 38.4 ng/ml; sensitivity: 67.7, 89.3 and 34.4%; specificity: 65.5, 39.7 and 85.5%, respectively).
Our study showed a relationship between maternal endothelial dysfunction and fetal growth disturbances during pregnancy in women with diabetes that was not associated with maternal metabolic control. Higher levels of maternal sE-selectin in early pregnancy were associated with increased risk of the large-for-gestational-age condition. High levels of maternal sVCAM-1 in early pregnancy were characteristic of gestation complicated by the small-for-gestational-age condition. Further studies in larger groups are warranted to determine whether markers of maternal endothelial dysfunction are of use in the prediction of abnormal birthweight (large or small for gestational age) in pregnant women with diabetes.
Diabetic Medicine 02/2011; 28(6):692-8. · 2.90 Impact Factor
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Ultrasound in Obstetrics and Gynecology 10/2009; 34(S1):185. · 3.01 Impact Factor
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ABSTRACT: Gestational diabetes mellitus (GDM) is associated with increased maternal insulin resistance. Maternal hyperglycemia is a well known risk factor for fetal overgrowth. However, despite improved glycemia control, macrosomia complicates a significant proportion of diabetic pregnancies, resulting in increased perinatal risk. The aim of our retrospective study was to investigate the association between fetal growth and different maternal metabolic characteristics in women with GDM. The study group included 357 women (singleton pregnancy, and GDM diagnosed following WHO criteria). The following parameters were studied: maternal pre-pregnancy BMI, 75 g OGTT results, HbA(1c), triglycerides (TAG), total, HDL- and LDL-cholesterol levels at admission. Neonatal birth weight and the prevalence of being large for gestational age birth weight (LGA) was an end-point. We found a significant association between birth weight and HbA(1c), TAG, fasting OGTT glycemia, BMI and a birth weight of a large child born previously. BMI and birth weight of a large child was the strongest independent predictors for LGA. A significant increase in birth weight and the prevalence of LGA (from 10.5% to 83.3%) was related to a number of altered maternal metabolic features. Conclusions: Fetal growth in a diabetic pregnancy is a complex process and maternal metabolic parameters other than glucose levels should be addressed to reduce the risk of macrosomia in these groups of patients.
Journal of physiology and pharmacology: an official journal of the Polish Physiological Society 10/2008; 59 Suppl 4:5-18. · 2.27 Impact Factor
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ABSTRACT: Several types of regulators (i.e. chemokines and metalloproteinases) are considered to play a crucial role in pregnancy by local modulation of the immune system at the level of peripheral leukocytes. The aim of this study was to determine whether changes in chemokines (interferon-gamma-inducible protein (IP-10), monocyte chemotactic peptide-1(MCP-1), cytokines regulated upon activation normal T cell expressed and secreted (RANTES) and matrix metalloproteinase-9 (MMP-9)) concentrations in diabetic patients could affect the course of pregnancy.
The study group consisted of 65 diabetics in the first trimester of pregnancy. Some 47 pregnancies were successfully continued to delivery, 18 were terminated with spontaneous miscarriages. Twenty healthy women matched for gestational age served as a control group.
Glycated haemoglobin (HbA1C), vascular complications and lipoproteins (cholesterol, HDL-cholesterol, low density lipoprotein (LDL)-cholesterol and triglicerides) concentrations in maternal blood did not influence the chemokines concentrations. Lower RANTES level and higher MMP-9 concentrations were found in diabetic women. MCP-1 and RANTES levels differed significantly between pregnancies with good and poor perinatal outcome. A logistic regression model revealed that not only duration of diabetes, age of patients, HbA1C and insulin requirements, but also MMP-9,RANTES, MCP-1 and LDL-cholesterol levels seem to be involved in first trimester metabolism.
Our results suggest the possible role of chemokines in early pregnancy development, especially in well-controlled diabetic patients, when hyperglycaemia is unlikely to be the main reason for an unfavourable outcome. Our results show that MCP-1 and RANTES might serve as predictive factors for an unfavourable outcome in diabetic pregnancy, whereas MMP-9 seems to be a marker of immunological changes related to mild hyperglycaemia. However, the open question of how the modulation of chemokines concentrations might be applied to prevent miscarriage in diabetic patients remains.
Acta Obstetricia Et Gynecologica Scandinavica 02/2008; 87(1):14-9. · 1.77 Impact Factor
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Ultrasound in Obstetrics and Gynecology 09/2007; 30(4):583 - 583. · 3.01 Impact Factor
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Ultrasound in Obstetrics and Gynecology 09/2007; 30(4):383 - 383. · 3.01 Impact Factor
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Ultrasound in Obstetrics and Gynecology 08/2006; 28(4):470 - 471. · 3.01 Impact Factor
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ABSTRACT: To evaluate the use of the plasma 1,5-anhydro-d-glucitol (1,5-AG) level as a possible marker for glucose excursions in pregnant women with diabetes.
The study group consisted of 55 pregnant women with diabetes (gestational diabetes mellitus-GDM, n = 28 or pre-gestational diabetes mellitus -PGDM, n = 27), without hepatic or renal insufficiency, gestational age range 5-38 weeks. In each patient, 24-h glucose profile, glycated haemoglobin and 1,5-AG plasma levels were measured. Mean blood glucose (MBG) and M-value (by Schlichtkrull) were calculated. MBG, M-value and maximal daily glycaemia (MxG) were used as indexes of daily glycaemic excursions.
A significant correlation was found between the 1,5-AG plasma level and MxG [r = (-0.3)] and between the 1,5-AG level and M-value [r = (-0.36)]. There was no association between the 1,5-AG level and gestational age. Multivariate regression analysis, with 24-h glucose profile, gestational age and MxG as independent variables, showed that MxG was the main parameter determining the 1,5-AG plasma level [beta = (-0.68)]. The M-value, the coefficient of glucose fluctuations, also determined the 1,5-AG level but with lower statistical power [beta = (0.41)]. No statistical differences were found in the group with HbA(1c) < 6% or > 6% for 1,5-AG and M-value, while MBG was higher in poorly controlled patients (HbA(1c) > 6%).
The plasma 1,5-AG level may be a useful marker of daily glucose excursion in pregnant women with diabetes, as an adjunct to HbA(1c) monitoring.
Diabetic Medicine 02/2006; 23(2):171-5. · 2.90 Impact Factor
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ABSTRACT: The prevention of congenital malformations in the newborns of diabetic mothers still constitutes one of the main problems in this group of patients.
The aim of this study was to analyze the prevalence of fetal malformations in diabetic pregnancies, as well as detection of the cut-off points for the first-trimester glycemia levels, relating to diabetes-induced fetal malformations.
The data for analysis were collected retrospectively from the case histories of diabetic pregnant women and their newborns, treated in our departments. For the evaluation of maternal diabetes control, the whole-day glycemia profiles as well as glycated hemoglobin (HbA1C) levels were registered. To establish the glucose cut-off values for malformations, we have used receiver operating characteristic (ROC) curves for fasting, 1-hr, and 2-hr postprandial glucose levels. To determine how metabolic control influences the risk of giving birth to a malformed infant, we followed 198 newborns of diabetic mothers and 4700 infants born of healthy mothers (control group).
We detected malformations in the infants of 8.6% (n = 17) of diabetic mothers and 3.8% of the control (odds ratio: 2.35, 95% CI = 1.40-3.96). We compared this group of diabetic patients to another diabetic pregnancy group, analyzed over a period of 1988-93 (n = 209), in which 13 newborns (6.2%) manifested congenital malformations (odds ratio: 1.41, 95% CI = 0.67-2.99) (the difference was statistically insignificant). HbA1C level during organogenesis was not significantly higher in women whose infants were malformed. We proved, however, that the risk of malformations was higher, when HbA1C value exceeded 9.3%. The malformation rate in diabetes classes D-H (according to White) was higher than in classes B and C, but the difference was not significant. A wide spectrum of anomalies has been observed in the newborns of diabetic mothers.
Our results confirm the view that diabetic pregnancy, despite the improved metabolic control, is still a strong risk factor for alterations in fetal development, particularly in patients with a tendency to brittle glycemia during first trimester of pregnancy. It seems that keeping fasting glucose levels in first trimester below 5.8 mmol/l and postprandial glucose levels below 9.1 mmol/l can contribute to decreasing number of fetal malformations in pregestational diabetes mellitus (PGDM) pregnancy. The ROC curves appear to be useful and adequate tool for the analysis of factors influencing fetal development in diabetic pregnancy.
Acta Obstetricia Et Gynecologica Scandinavica 02/2005; 84(1):17-25. · 1.77 Impact Factor
