Modelling of the dissolution and reprecipitation of uranium under oxidising conditions in the zone of shallow groundwater circulation

Publication date: November 2017
Source:Journal of Environmental Radioactivity, Volumes 178–179
Author(s): Ekaterina M. Dutova, Aleksei N. Nikitenkov, Vitaly D. Pokrovskiy, David Banks, Bjørn S. Frengstad, Valerii P. Parnachev
Generic hydrochemical modelling of a grantoid-groundwater system, using the Russian software "HydroGeo", has been carried out with an emphasis on simulating the accumulation of uranium in the aqueous phase. The baseline model run simulates shallow granitoid aquifers (U content 5 ppm) under conditions broadly representative of southern Norway and southwestern Siberia: i.e. temperature 10 °C, equilibrated with a soil gas partial CO2 pressure (PCO2, open system) of 10^−2.5 atm. and a mildly oxidising redox environment (Eh = +50 mV). Modelling indicates that aqueous uranium accumulates in parallel with total dissolved solids (or groundwater mineralisation M – regarded as an indicator of degree of hydrochemical evolution), accumulating most rapidly when M = 550–1000 mg L⁻¹. Accumulation slows at the onset of saturation and precipitation of secondary uranium minerals at M = c. 1000 mg L⁻¹ (which, under baseline modelling conditions, also corresponds approximately to calcite saturation and transition to Na-HCO3 hydrofacies). The secondary minerals are typically "black" uranium oxides of mixed oxidation state (e.g. U3O7 and U4O9). For rock U content of 5–50 ppm, it is possible to generate a wide variety of aqueous uranium concentrations, up to a maximum of just over 1 mg L⁻¹, but with typical concentrations of up to 10 μg L⁻¹ for modest degrees of hydrochemical maturity (as indicated by M). These observations correspond extremely well with real groundwater analyses from the Altai-Sayan region of Russia and Norwegian crystalline bedrock aquifers. The timing (with respect to M) and degree of aqueous uranium accumulation are also sensitive to Eh (greater mobilisation at higher Eh), uranium content of rocks (aqueous concentration increases as rock content increases) and PCO2 (low PCO2 favours higher pH, rapid accumulation of aqueous U and earlier saturation with respect to uranium minerals).



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Travel Time to Hospital for Childbirth: Comparing Calculated Versus Reported Travel Times in France

Abstract

Objectives Timely access to health care is critical in obstetrics. Yet obtaining reliable estimates of travel times to hospital for childbirth poses methodological challenges. We compared two measures of travel time, self-reported and calculated, to assess concordance and to identify determinants of long travel time to hospital for childbirth. Methods Data came from the 2010 French National Perinatal Survey, a national representative sample of births (N = 14 681). We compared both travel time measures by maternal, maternity unit and geographic characteristics in rural, peri-urban and urban areas. Logistic regression models were used to study factors associated with reported and calculated times ≥30 min. Cohen's kappa coefficients were also calculated to estimate the agreement between reported and calculated times according to women's characteristics. Results In urban areas, the proportion of women with travel times ≥30 min was higher when reported rather than calculated times were used (11.0 vs. 3.6%). Longer reported times were associated with non-French nationality [adjusted odds ratio (aOR) 1.3 (95% CI 1.0–1.7)] and inadequate prenatal care [aOR 1.5 (95% CI 1.2–2.0)], but not for calculated times. Concordance between the two measures was higher in peri-urban and rural areas (52.4 vs. 52.3% for rural areas). Delivery in a specialised level 2 or 3 maternity unit was a principal determinant of long reported and measured times in peri-urban and rural areas. Conclusions for Practice The level of agreement between reported and calculated times varies according to geographic context. Poor measurement of travel time in urban areas may mask problems in accessibility.

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Title V Workforce Development in the Era of Health Transformation

Abstract

Purpose The National Maternal and Child Health Workforce Development Center at UNC Chapel Hill (the Center), funded by the Maternal and Child Health Bureau, provides Title V state/jurisdiction leaders and staff and partners from other sectors with opportunities to develop skills in quality improvement, systems mapping and analysis, change management, and strategies to enhance access to care to leverage and implement health transformation opportunities to improve the health of women and children. Description Since 2013, the Center has utilized a variety of learning platforms to reach state and jurisdiction Title V leaders. In the intensive training program, new skills and knowledge are applied to a state-driven health transformation project and include distance-based learning opportunities, multi-day, in-person training and/or onsite consultation, as well as individualized coaching to develop workforce skills. Assessment The first intensive cohort of eight states reported enhanced skills in the core areas of quality improvement, systems mapping and analysis, change management, and strategies to enhance access to care which guided changes at state system and policy levels. In addition, teams reported new and/or enhanced partnerships with many sectors, thereby leveraging Title V resources to increase its impact. Conclusion The Center's provision of core workforce skills and application to state-defined goals has enabled states to undertake projects and challenges that not only have a positive impact on population health, but also encourage collaborative, productive partnerships that were once found to be challenging—creating a workforce capable of advancing the health and wellbeing of women and children.

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Assessing the Risk of Having Small for Gestational Age Newborns Among Lebanese Underweight and Normal Pre-pregnancy Weight Women

Abstract

Introduction It has been established that underweight women with low gestational weight gain (GWG) are at a higher risk of having Small for Gestational Age (SGA) newborns. However, the association remains poorly studied in Middle Eastern societies exhibiting different ethnic groups, genetic predisposing factors along with differences in nutritional food intake during pregnancy. The aim of this study is to assess the risk of having a SGA newborn among underweight and normal weight BMI women while studying the role of GWG in this association. Methods This is a retrospective cross-sectional study of 62,351 singleton pregnancies from the National Collaborative Perinatal Neonatal Network between 2001 and 2009 from 27 hospitals across Lebanon. Women who had underweight and normal pre-pregnancy BMI were included. Results A total of 8.6% newborns were SGA and 6.6% of women were underweight. Among women with normal and underweight pre-pregnancy BMI, 8.6 and 12.4% had SGA births respectively. Overall, the adjusted OR of having SGA newborns was significantly higher among underweight women (OR = 1.448; 95%CI = 1.287–1.630) compared to normal pre-pregnancy BMI. Below normal weight gain significantly increased the odds of SGA for both normal and underweight pre-pregnancy BMI women, with adjusted ORs of 1.535 (95% CI = 1.418–1.661) and 1.970 (95%CI = 1.515–2.560) respectively. Discussion Higher risks of SGA newborns in underweight and normal BMI women with low GWG were observed. In addition, normal weight gain couldn't protect underweight women of having risk for SGA newborns. Hence, all pregnant women should be encouraged to maintain healthy BMI before pregnancy and attain adequate GWG.

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Executive function after exhaustive exercise

Abstract

Purpose

Findings concerning the effects of exhaustive exercise on cognitive function are somewhat equivocal. The purpose of this study was to identify physiological factors that determine executive function after exhaustive exercise.

Methods

Thirty-two participants completed the cognitive tasks before and after an incremental exercise until exhaustion (exercise group: N = 18) or resting period (control group N = 14). The cognitive task was a combination of a Spatial Delayed-Response (Spatial DR) task and a Go/No-Go task, which requires executive function. Cerebral oxygenation and skin blood flow were monitored during the cognitive task over the prefrontal cortex. Venous blood samples were collected before and after the exercise or resting period, and blood catecholamines, serum brain-derived neurotrophic factor, insulin-like growth hormone factor 1, and blood lactate concentrations were analyzed.

Results

In the exercise group, exhaustive exercise did not alter reaction time (RT) in the Go/No-Go task (pre: 861 ± 299 ms vs. post: 775 ± 168 ms) and the number of error trials in the Go/No-Go task (pre: 0.9 ± 0.7 vs. post: 1.8 ± 1.8) and the Spatial DR task (pre: 0.3 ± 0.5 vs. post: 0.8 ± 1.2). However, ΔRT was negatively correlated with Δcerebral oxygenation (r = −0.64, P = 0.004). Other physiological parameters were not correlated with cognitive performance. Venous blood samples were not directly associated with cognitive function after exhaustive exercise.

Conclusion

The present results suggest that recovery of regional cerebral oxygenation affects executive function after exhaustive exercise.

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Defective splicing of the RB1 transcript is the dominant cause of retinoblastomas

Abstract

Defective splicing is a common cause of genetic diseases. On average, 13.4% of all hereditary disease alleles are classified as splicing mutations with most mapping to the critical GT or AG nucleotides within the 5′ and 3′ splice sites. However, splicing mutations are underreported and the fraction of splicing mutations that compose all disease alleles varies greatly across disease gene. For example, there is a great excess (46%; ~threefold) of hereditary disease alleles that map to splice sites in RB1 that cause retinoblastoma. Furthermore, mutations in the exons and deeper intronic position may also affect splicing. We recently developed a high-throughput method that assays reported disease mutations for their ability to disrupt pre-mRNA splicing. Surprisingly, 27% of RB1-coding mutations tested also disrupt splicing. High-throughput in vitro spliceosomal assembly assay reveals heterogeneity in which stage of spliceosomal assembly is affected by splicing mutations. 58% of exonic splicing mutations were primarily blocked at the A complex in transition to the B complex and 33% were blocked at the B complex. Several mutants appear to reduce more than one step in the assembly. As RB1 splicing mutants are enriched in retinoblastoma disease alleles, additional priority should be allocated to this class of allele while interpreting clinical sequencing experiments. Analysis of the spectrum of RB1 variants observed in 60,706 exomes identifies 197 variants that have enough potential to disrupt splicing to warrant further consideration.

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Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

Abstract

Growing evidence from both epidemiology and basic science suggest an inverse association between Alzheimer's disease (AD) and cancer. We examined the genetic relationship between AD and various cancer types using GWAS summary statistics from the IGAP and GAME-ON consortia. Sample size ranged from 9931 to 54,162; SNPs were imputed to the 1000 Genomes European panel. Our results based on cross-trait LD Score regression showed a significant positive genetic correlation between AD and five cancers combined (colon, breast, prostate, ovarian, lung; r _g = 0.17, P = 0.04), and specifically with breast cancer (ER-negative and overall; r _g = 0.21 and 0.18, P = 0.035 and 0.034) and lung cancer (adenocarcinoma, squamous cell carcinoma and overall; r _g = 0.31, 0.38 and 0.30, P = 0.029, 0.016, and 0.006). Estimating the genetic correlation in specific functional categories revealed mixed positive and negative signals, notably stronger at annotations associated with increased enhancer activity. This suggests a role of gene expression regulators in the shared genetic etiology between AD and cancer, and that some shared variants modulate disease risk concordantly while others have effects in opposite directions. Due to power issues, we did not detect cross-phenotype associations at individual SNPs. This genetic overlap is not likely driven by a handful of major loci. Our study is the first to examine the co-heritability of AD and cancer leveraging large-scale GWAS results. The functional categories highlighted in this study need further investigation to illustrate the details of the genetic sharing and to bridge between different levels of associations.

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