Gestational diabetes mellitus early prediction by maternal body fat index: A cohort study.

OBJECTIVES: To compare the performance of maternal body fat index (BFI) assessed during the first 20+6 weeks among 138 pregnant women in an ultrasound outpatient clinic as a predictor of gestational diabetes mellitus (GDM) later in pregnancy. METHOD: Maternal visceral and subcutaneous fat was measured with a convex ultrasound probe placed in two locations on the maternal abdominal surface: the first in the mid-sagittal epigastric region, visualising epigastric fat, and the second 2cm above the maternal umbilical scar, visualising periumbilical fat. Ultrasound callipers measured the distance from dermal edge to the linea alba and after from the linea alba to the anterior hepatic surface (epigastric fat). Periumbilical fat was measured from the dermal edge to the linea alba and after from the linea alba to the anterior aortic surface. The BFI formula was [visceral adipose tissue (mm)×subcutaneous adipose tissue (mm)]/maternal height (cm). RESULTS: The best thresholds for predicting GDM outcome for epigastric and periumbilical BFI were 1.2 and 4.8, respectively. Odds ratio, sensitivity and specificity were 5.88 (95% CI 1.86-18.6), 80.9%, 58.0% for the epigastric site and 6.31 (95% CI 1.73-22.94), 84.2%, 54.2% for the periumbilical site. Pre-pregnancy body mass index compatible with adult obesity shows inadequate predictive performance for GDM outcome. Only epigastric BFI above 1.2 maintained statistical significance for GDM in the logistic regression analysis, when compared to periumbilical BFI above 4.8. CONCLUSION: Epigastric BFI above 1.2 during the first half of pregnancy may help identify women at risk of developing GDM later in pregnancy.

Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.

BACKGROUND: Endothelial cell (EC) activation, endotheliitis, vascular permeability, and thrombosis have been observed in patients with severe coronavirus disease 2019 (COVID-19), indicating that the vasculature is affected during the acute stages of SARS-CoV-2 infection. It remains unknown whether circulating vascular markers are sufficient to predict clinical outcomes, are unique to COVID-19, and if vascular permeability can be therapeutically targeted. METHODS: Prospectively evaluating the prevalence of circulating inflammatory, cardiac, and EC activation markers as well as developing a microRNA atlas in 241 unvaccinated patients with suspected SARS-CoV-2 infection allowed for prognostic value assessment using a Random Forest model machine learning approach. Subsequent ex vivo experiments assessed EC permeability responses to patient plasma and were used to uncover modulated gene regulatory networks from which rational therapeutic design was inferred. FINDINGS: Multiple inflammatory and EC activation biomarkers were associated with mortality in COVID-19 patients and in severity-matched SARS-CoV-2-negative patients, while dysregulation of specific microRNAs at presentation was specific for poor COVID-19-related outcomes and revealed disease-relevant pathways. Integrating the datasets using a machine learning approach further enhanced clinical risk prediction for in-hospital mortality. Exposure of ECs to COVID-19 patient plasma resulted in severity-specific gene expression responses and EC barrier dysfunction, which was ameliorated using angiopoietin-1 mimetic or recombinant Slit2-N. INTERPRETATION: Integration of multi-omics data identified microRNA and vascular biomarkers prognostic of in-hospital mortality in COVID-19 patients and revealed that vascular stabilizing therapies should be explored as a treatment for endothelial dysfunction in COVID-19, and other severe diseases where endothelial dysfunction has a central role in pathogenesis. FUNDING: This work was directly supported by grant funding from the Ted Rogers Center for Heart Research, Toronto, Ontario, Canada and the Peter Munk Cardiac Center, Toronto, Ontario, Canada.

Modifiable predictors to maternal visceral adipose tissue during pregnancy: A clinical, demographic, and nutritional study.

AIM: Higher amounts of maternal visceral adipose tissue were related to abnormal outcomes in pregnancy. Our objective was to evaluate the impact of modifiable and nonmodifiable predictors related to abnormal amounts of maternal visceral fat during three trimesters of pregnancy. METHODS: Visceral fat thickness was evaluated by ultrasound during three trimesters centered in the maternal epigastrium (preperitoneal m-VAT) and additionally fat thickness evaluation centered at maternal periumbilical region (periumbilical m-VAT) among cases with gestational age below 20 weeks. The fourth quartile was considered abnormal m-VAT and the first three quartiles as normal m-VAT. Nonmodifiable characteristics included maternal age, past term pregnancies, and ethnicity. Modifiable characteristics included pre-pregnancy body mass index (BMI), weight gain, usual macronutrients, and sugar consumption during pregnancy. RESULTS: Preperitoneal m-VAT was assessed in 270 pregnant women and m-VAT periumbilical assessment in 154. The fourth quartile measurement was 15 mm and 53 mm, respectively. Nonmodifiable predictors including maternal age and past term pregnancies significantly impacted the primary study outcome of abnormal periumbilical m-VAT. Having a non-Caucasian ethnicity had a significant impact on the amount of normal preperitoneal m-VAT. Among the modifiable characteristics, both pre-pregnancy BMI and pre-pregnancy obesity impacted the amount of abnormal preperitoneal and periumbilical m-VAT. CONCLUSION: Abnormal amounts of maternal visceral fat during pregnancy are related to nonmodifiable predictors and those present before pregnancy. No impact was found among weight gain during pregnancy or macronutrients and sugar consumption at pregnancy.

The effect of transcranial direct current stimulation along with a hypocaloric diet on weight loss in excessive weight people: A pilot randomized clinical trial.

BACKGROUND & AIMS: The dorsolateral prefrontal cortex plays an important role in the desire to eat and food intake regulation and may be a target for transcranial direct current stimulation (tDCS) to promote weight loss. Our aim was to test the effect of repeated, active tDCS along with a hypocaloric diet (HD) on weight loss in overweight adults. METHODS: This was a randomized, placebo-controlled, double-blind pilot study conducted in Porto Alegre, Brazil. Twenty-eight overweight adults were selected to receive 4-week (20 sessions, t0 to t20; 5 weekdays) fixed-dose tDCS along with an HD. Subjects were randomly assigned to active (AG) or sham (SG) tDCS groups. The primary outcome was weight loss as determined via body weight measurements at baseline (t0), weekly (t5, t10, t15, and t20), and after the intervention (tF). A visual analogue scale was used to assess desire to eat at t0 and at tF. Registered under ClinicalTrials.gov Identifier no. NCT02683902. RESULTS: Although there was a greater weight loss in the AG (mean -4.5 kg [95%CI: -9.4, 0.5]) than in the SG (-2.3 kg [-5.0, 0.3]), this difference was not statistically significant. However, the AG showed a significant reduction in the desire for sweet foods (P = 0.005). CONCLUSIONS: Although this pilot study did not show that repeated tDCS is able to optimize weight loss, it was able to reduce the desire to eat sweet foods. These findings suggest that a protocol with a larger sample size could determine whether tDCS may be an adjunctive treatment of obesity.

Anthropometrical measurements and maternal visceral fat during first half of pregnancy: a cross-sectional survey.

BACKGROUND: Determining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound. METHODS: A cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference [MUAC], circumferences of calf and neck and triceps skinfolds [TSF] and subscapular skinfolds [SBSF]), and ultrasound variables (visceral adipose tissue [VAT] and total adipose tissue [TAT]) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees. RESULTS: The age median of the 149 pregnant women was 25 years [21-31], pre-pregnancy BMI was 26.22 kg/m² [22.16-31.21] and gestational age was 16.2 weeks [13.05-18.10]. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI. CONCLUSIONS: It is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.

Maternal visceral adipose tissue during the first half of pregnancy predicts gestational diabetes at the time of delivery - a cohort study.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common condition, often associated with high maternal and fetal morbidity. The use of new tools for early GDM screening can contribute to metabolic control to reduce maternal and fetal risk. This study aimed to ascertain whether maternal visceral adipose tissue (VAT) measurement by ultrasound during the first half of pregnancy can predict the occurrence of GDM during the third trimester. METHODS: A prospective cohort study of 133 pregnant women with gestational age ≤20 weeks in an outpatient setting. VAT depth was measured by ultrasound at the maternal periumbilical region. GDM status was obtained through hospital charts during hospitalization to delivery. A Receiver Operator Characteristic (ROC) curve was used to determine the optimum threshold to predict GDM. RESULTS: According to the ROC curve, a 45mm threshold was identified as the best cut-off value, with 66% of accuracy to predict GDM. Crude and adjusted odds ratios (OR) for GDM were 13.4 (95%CI 2.9-61.1) and 8.9 (95%CI 1.9-42.2), respectively. A similar result was obtained among pre-gravid non-obese women, with crude and adjusted OR of 16.6 (95%CI 1.9-142.6) and 14.4 (95%CI 1.7-125.7), respectively. Among pre-gravid obese patients, a 45mm threshold did not reach statistical significance to predict GDM. CONCLUSION: The high and significant OR found before and after adjustments provides additional evidence of a strong association between VAT and GDM. It appears that VAT measurement during the first half of pregnancy has great potential in identifying non-obese women at high risk for GDM. This evidence can assist obstetricians in correctly allocating resources among populations of pregnant women at risk, determined not only by pre-gravid body mass index (BMI).