scholarly journals Influence of Maternal Glycemia on Intrauterine Fetal Adiposity Distribution after a Normal Oral Glucose Tolerance Test at 28 Weeks Gestation

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Nadine Farah ◽  
Jennifer Hogan ◽  
Vicky O'Dwyer ◽  
Bernard Stuart ◽  
Mairead Kennelly ◽  
...  

Objective. To examine the relationship between maternal glucose levels and intrauterine fetal adiposity distribution in women with a normal oral glucose tolerance test (OGTT) at 28 weeks gestation.Study Design. We recruited 231 women with a singleton pregnancy. At 28 and 37 weeks gestation, sonographic measurements of fetal body composition were performed. Multiple regression analysis was used to study the influence of different maternal variables on fetal adiposity distribution.Results. Maternal glucose levels correlated with the fetal abdominal subcutaneous tissue measurements (; ) and with birth weight (; ). Maternal glucose levels did not correlate with the fetal mid-thigh muscle thickness and mid-thigh subcutaneous tissue measurements.Conclusion. We found that in nondiabetic women maternal glucose levels not only influence fetal adiposity and birth weight, but also influence the distribution of fetal adiposity. This supports previous evidence that maternal glycemia is a key determinant of intrauterine fetal programming.

2015 ◽  
Vol 10 (2) ◽  
pp. 326 ◽  
Author(s):  
Emordi Jonathan Emeka ◽  
Agbaje Esther Oluwatoyin ◽  
Oreagba Ibrahim Adekunle ◽  
Iribhogbe Osede Ignis

<p>The purpose of this study is to evaluate the hypoglycaemic properties and preliminary phytochemical screening of <em>Uveria chamae</em>. The hypoglycaemic properties of <em>Uveria chamae</em> was assessed on normoglycaemic rat that received single dose of the extract at 250 and 500 mg/kg body weight and blood glucose levels estimated at 2, 4, and 6 hours (single dose study). The hypoglycaemic property of the extract was also evaluated in normoglycemic rats by oral glucose tolerance test. Phytochemical screening of the extract for the presence of secondary metabolites was performed with standard methods. The extract showed a significant (p&lt;0.05) reduction in blood glucose levels at 2h and 6h compared to control.  The oral glucose tolerance test  result also showed a significant decrease (p&lt;0.05) in blood glucose levels . The study showed that the extract, <em>Uveria chamae</em> has hypoglycaemic properties which may be accounted for by the presence of the phytochemicals.</p><p> </p>


Author(s):  
Emma L. Jamieson ◽  
Erica P. Spry ◽  
Andrew B. Kirke ◽  
David N. Atkinson ◽  
Julia V. Marley

Gestational diabetes mellitus (GDM) is the most common antenatal complication in Australia. All pregnant women are recommended for screening by 75 g oral glucose tolerance test (OGTT). As part of a study to improve screening, 694 women from 27 regional, rural and remote clinics were recruited from 2015–2018 into the Optimisation of Rural Clinical and Haematological Indicators for Diabetes in pregnancy (ORCHID) study. Most routine OGTT samples were analysed more than four hours post fasting collection (median 5.0 h, range 2.3 to 124 h), potentially reducing glucose levels due to glycolysis. In 2019, to assess pre-analytical plasma glucose (PG) instability over time, we evaluated alternative sample handling protocols in a sample of participants. Four extra samples were collected alongside routine room temperature (RT) fluoride-oxalate samples (FLOXRT): study FLOXRT; ice slurry (FLOXICE); RT fluoride-citrate-EDTA (FC Mix), and RT lithium-heparin plasma separation tubes (PST). Time course glucose measurements were then used to estimate glycolysis from ORCHID participants who completed routine OGTT after 24 weeks gestation (n = 501). Adjusting for glycolysis using FLOXICE measurements estimated 62% under-diagnosis of GDM (FLOXRT 10.8% v FLOXICE 28.5% (95% CI, 20.8–29.5%), p < 0.001). FC Mix tubes provided excellent glucose stability but gave slightly higher results (Fasting PG: +0.20 ± 0.05 mmol/L). While providing a realistic alternative to the impractical FLOXICE protocol, direct substitution of FC Mix tubes in clinical practice may require revision of GDM diagnostic thresholds.


2020 ◽  
Vol 26 (5) ◽  
pp. 529-534
Author(s):  
Juan Carlos Lizarzaburu-Robles ◽  
Lizardo Torres-Aparcana ◽  
Raúl Mansilla ◽  
José Valera ◽  
Gabriela Vargas ◽  
...  

Objective: The aim of this study was to evaluate the association between the 1-hour oral glucose tolerance test (OGTT) (≥155 mg/dL) and metabolic syndrome (MS) in a sample with previous impaired fasting glucose (IFG). Methods: Three hundred and twenty four Peruvian subjects with a history of IFG ≥100 mg/dL were selected for a cross-sectional study. They underwent a 75 g OGTT and were assigned to different groups according to the result. We evaluated the association between 1-hour OGTT and MS. Results: The mean age was 56.5 ± 12.6 years and 191 (61.5%) were female. During the OGTT, we found 28 (8.6%) subjects with diabetes, 74 (22.8%) with IGT, and 222 (68.5%) with a normal glucose tolerance test with a 2-hour glucose <140 mg/dL (NGT). In the NGT group, 124 (38.3%) had 1-hour glucose levels <155 mg/dL, while 98 (30.2%) had 1-hour glucose levels ≥155 mg/dL. Evaluating the association between the 1-hour value in the OGTT and MS, we found that subjects with a 1-hour glucose ≥155 mg/dL were more than twice as likely to have MS as those with a 1-hour glucose <155 mg/dL (odds ratio = 2.64, 95% confidence interval: 1.52 to 4.57). In addition, body mass index, fasting glycemia, triglycerides, and waist circumferences were significantly higher in subjects with 1-hour glucose levels ≥155 mg/dL compared to those with 1-hour glucose levels <155 mg/dL ( P<.05). Conclusion: Among subjects with IFG, performing an OGTT was helpful to identify subjects with 1-hour glucose levels ≥155 mg/dL and NGT who were significantly more likely to have MS and a worse cardiometabolic risk profile. Abbreviations: AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; LDL = low-density lipoprotein; MS = metabolic syndrome; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes; TG = triglycerides


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1666-P
Author(s):  
MOTONORI SATO ◽  
YOSHIFUMI TAMURA ◽  
HIDEYOSHI KAGA ◽  
YUKI SOMEYA ◽  
SAORI KAKEHI ◽  
...  

Author(s):  
Balaji Ramanathan ◽  
Jeyasudha Murugan ◽  
Kumaravel Velayutham ◽  
Vishali Thavamani ◽  
Rajamanickam Chellam ◽  
...  

Background: Genetic predisposition plays a critical role in the incidence of type 2 diabetes mellitus (T2DM). While a few reports strongly associate TCF7L2 gene polymorphisms in the T2DM incidence in India, data pertaining to the prevalence of these polymorphisms in the south Tamil Nadu population has been lacking. Hence, the present study aims to determine the prevalence and association of the TCF7L2 gene variants rs7903146, rs12255372 in the regional population of south Tamil Nadu.Methods: Peripheral blood samples from controls, T2DM patients were utilized to isolate genomic DNA and genotyping was carried out using PCR based strategies, direct sequencing. Socio-demographic details, anthropometric measurements, determination of postprandial, random blood glucose levels and oral glucose tolerance test (OGTT) were further carried out to evaluate the predisposition risk for T2DM.Results: 50% of the control group participants and 73.9% of the T2DM patients were positive (CT/TT) for the TCF7L2 polymorphism rs7903146. The rs12255372 SNP was less prevalent in the controls, patients and was dispersed in only 25% of the controls and 60.9% (GT/TT) of the patients. The 60 minutes plasma glucose levels for the oral glucose tolerance test (OGTT) was higher (143.3±19.8) in the rs7903146 and rs12255372 positive control participants.Conclusions: The study results reveal that TCF7L2 polymorphisms are dispersed in the regional population and further large scale, long term follow up studies will aid preventive and therapeutic measures in T2DM.


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