Urinary total arsenic and arsenic methylation capacity in pregnancy and gestational diabetes mellitus: A case-control study

Chemosphere ◽  
2021 ◽  
Vol 271 ◽  
pp. 129828
Author(s):  
Wei-Jen Chen ◽  
Erin M. Davis ◽  
Julie A. Stoner ◽  
Candace Robledo ◽  
Jean R. Goodman ◽  
...  
2019 ◽  
Vol 47 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Paula J. Correa ◽  
Pia Venegas ◽  
Yasna Palmeiro ◽  
Daniela Albers ◽  
Gregory Rice ◽  
...  

AbstractObjectivesTo evaluate the first trimester maternal biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM).MethodsThe study was a case-control study of healthy women with singleton pregnancies at the first trimester carried out at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile. After obtaining informed consent, peripheral blood samples of pregnant women under 14 weeks of gestation were collected. At 24–28 weeks of pregnancy, women were classified as GDM (n=16) or controls (n=80) based on the results of a 75-g oral glucose tolerance test (OGTT). In all women, we measured concentrations of fasting blood glucose, insulin, glycated hemoglobin, uric acid, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase (AP), sex hormone-binding globulin (SHBG), adiponectin, tissue plasminogen activator (t-PA), leptin and placental growth factor (PGF).ResultsThe GDM group displayed an increased median concentration of cholesterol (P=0.04), triglycerides (P=0.003), insulin (P=0.003), t-PA (P=0.0088) and homeostatic model assessment (HOMA) (P=0.003) and an increased mean concentration of LDL (P=0.009) when compared to the control group. The receiver operating characteristic (ROC) curve for significant variables achieved an area under the curve (AUC) of 0.870, a sensitivity of 81.4% and a specificity of 80.0%. The OGTT was positive for GDM according to the IADPSG (International Diabetes in Pregnancy Study Group) criteria.ConclusionWomen who subsequently developed GDM showed higher levels of blood-borne biomarkers during the first trimester, compared to women who did not develop GDM. These data warrant validation in a larger cohort.


BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e025908 ◽  
Author(s):  
Maëlle Dandjinou ◽  
Odile Sheehy ◽  
Anick Bérard

ObjectivesThe aim of this study was to determine the association between antidepressant (AD) classes, types and duration of use during pregnancy and the risk of gestational diabetes mellitus (GDM).Design and settingA nested case–control study was conducted within the Quebec Pregnancy Cohort (QPC), a Canadian provincial database which includes data on all pregnancies and children in Quebec from January 1998 to December 2015.Primary outcome measuresGestational diabetes mellitus.ParticipantsCases of GDM were identified after week 20 of pregnancy and randomly matched 1:10 to controls on gestational age at index date (ie, calendar date of GDM) and year of pregnancy. AD exposure was assessed by filled prescriptions between the beginning of pregnancy (first day of last menstrual period) and index date. Conditional logistic regression models were used to estimate crude and adjusted odds ratios (aOR).ResultsAmong 20 905 cases and 209 050 matched controls, 9741 (4.2%) women were exposed to ADs. When adjusting for potential confounders, AD use was associated with an increased risk of GDM (aOR 1.19, 95% CI 1.08 to 1.30); venlafaxine (aOR 1.27, 95% CI 1.09 to 1.49) and amitriptyline (aOR 1.52, 95% CI 1.25 to 1.84) were also associated with an increased risk of GDM. Moreover, the risk of GDM was increased with longer duration of AD use, specifically for serotonin norepinephrine reuptake inhibitors, tricyclic ADs and combined use of two AD classes. No statistically significant association was observed for selective serotonin reuptake inhibitors.ConclusionThe findings suggest that ADs—and specifically venlafaxine and amitriptyline—were associated with an increased risk of GDM.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Elnaz Daneshzad ◽  
Hatav Tehrani ◽  
Nick Bellissimo ◽  
Leila Azadbakht

Background. Elevated oxidative stress status has been reported among pregnant women with gestational diabetes mellitus (GDM). In diabetic condition, glucose and lipid peroxidation, and alteration in antioxidant defense lead to increased free radicals. The objective of this study was to investigate the association between dietary total antioxidant capacity (DTAC) and GDM. Methods. This hospital-based case-control study was conducted in 463 pregnant women (healthy, n=263; GDM, n=200). Anthropometric indices, blood pressure, and biochemical analyses were measured. Dietary intake was assessed by the average of three 24-hour dietary intake records. DTAC was calculated by three indices: ferric reducing ability of plasma (FRAP), total radical-trapping antioxidant parameter (TRAP), and Trolox equivalent antioxidant capacity (TEAC). Multivariable logistic regression was performed to examine the relationship between DTAC and GDM risk in crude and adjusted models. Results. The mean age and BMI were 28.33±6.23 years and 29.67±4.73 kg/m2, respectively. Total energy, protein, and selenium intakes were significantly higher in cases than controls (P<0.05). Moreover, intakes of carbohydrate, vitamins C, B6, and A, manganese, fruits, fruit juices, vegetables, legumes, and FRAP were significantly lower in cases than controls (P<0.05). The risk of gestational diabetes mellitus was 85% lower among those in the highest tertile of FRAP (OR: 0.15; 95% CI: 0.08-0.29). There was no significant association between the risk of GDM and TRAP (OR: 1.62; 95% CI: 0.94-2.79) as well as TEAC (OR: 1.56; 95% CI: 0.89-2.72). Conclusion. Pregnant women who were in the highest tertile of FRAP were at lower risk of GDM. However, larger prospective studies are needed to confirm our findings.


2020 ◽  
Vol 29 (9) ◽  
pp. 1216-1225
Author(s):  
Sthefanie K. Nunes ◽  
Cibele V.C. Rudge ◽  
Sofia C.B.V. Quiroz ◽  
Raghavendra L. Hallur ◽  
Caroline B. Prudencio ◽  
...  

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