Deciphering the oxygen isotope composition of nitrous oxide produced by nitrification

The ability to use δ¹⁸O values of nitrous oxide (N₂O) to apportion environmental emissions is currently hindered by a poor understanding of the controls on δ¹⁸O–N₂O from nitrification (hydroxylamine oxidation to N₂O and nitrite reduction to N₂O). In this study fertilized agricultural soils and unfertilized temperate forest soils were aerobically incubated with different ¹⁸O/¹⁶O waters, and conceptual and mathematical models were developed to systematically explain the δ¹⁸O–N₂O formed by nitrification. Modeling exercises used a set of defined input parameters to emulate the measured soil δ¹⁸O–N₂O data (Monte Carlo approach). The Monte Carlo simulations implied that abiotic oxygen (O) exchange between nitrite (NO₂^?) and H₂O is important in all soils, but that biological, enzyme‐controlled O‐exchange does not occur during the reduction of NO₂^? to N₂O (nitrifier‐denitrification). Similarly, the results of the model simulations indicated that N₂O consumption is not characteristic of aerobic N₂O formation. The results of this study and a synthesis of the published literature data indicate that δ¹⁸O–N₂O formed in aerobic environments is constrained between +13‰ and +35‰ relative to Vienna Standard Mean Ocean Water (VSMOW). N₂O formed via hydroxylamine oxidation and nitrifier‐denitrification cannot be separated using δ¹⁸O unless ¹⁸O tracers are employed. The natural range of nitrifier δ¹⁸O–N₂O is discussed and explained in terms of our conceptual model, and the major and minor controls that define aerobically produced δ¹⁸O–N₂O are identified. Despite the highly complex nature of δ¹⁸O–N₂O produced by nitrification this δ¹⁸O range is narrow. As a result, in many situations δ¹⁸O values may be used in conjunction with δ¹⁵N–N₂O data to apportion nitrifier‐ and denitrifier‐derived N₂O. However, when biological O‐exchange during denitrification is high and N₂O consumption is low, there may be too much overlap in δ¹⁸O values to distinguish N₂O formed by these pathways.     

Psychological Distress, Depression, Anxiety, and Burnout among International Humanitarian Aid Workers: A Longitudinal Study

Background

International humanitarian aid workers providing care in emergencies are subjected to numerous chronic and traumatic stressors.

Objectives

To examine consequences of such experiences on aid workers'' mental health and how the impact is influenced by moderating variables.

Methodology

We conducted a longitudinal study in a sample of international non-governmental organizations. Study outcomes included anxiety, depression, burnout, and life and job satisfaction. We performed bivariate regression analyses at three time points. We fitted generalized estimating equation multivariable regression models for the longitudinal analyses.

Results

Study participants from 19 NGOs were assessed at three time points: 212 participated at pre-deployment; 169 (80%) post-deployment; and 154 (73%) within 3–6 months after deployment. Prior to deployment, 12 (3.8%) participants reported anxiety symptoms, compared to 20 (11.8%) at post-deployment (p = 0·0027); 22 (10.4%) reported depression symptoms, compared to 33 (19.5%) at post-deployment (p = 0·0117) and 31 (20.1%) at follow-up (p = .00083). History of mental illness (adjusted odds ratio [AOR] 4.2; 95% confidence interval [CI] 1·45–12·50) contributed to an increased risk for anxiety. The experience of extraordinary stress was a contributor to increased risk for burnout depersonalization (AOR 1.5; 95% CI 1.17–1.83). Higher levels of chronic stress exposure during deployment were contributors to an increased risk for depression (AOR 1·1; 95% CI 1·02–1.20) comparing post- versus pre-deployment, and increased risk for burnout emotional exhaustion (AOR 1.1; 95% CI 1.04–1.19). Social support was associated with lower levels of depression (AOR 0·9; 95% CI 0·84–0·95), psychological distress (AOR = 0.9; [CI] 0.85–0.97), burnout lack of personal accomplishment (AOR 0·95; 95% CI 0·91–0·98), and greater life satisfaction (p = 0.0213).

Conclusions

When recruiting and preparing aid workers for deployment, organizations should consider history of mental illness and take steps to decrease chronic stressors, and strengthen social support networks.     

ABC Transporters in Saccharomyces cerevisiae and Their Interactors: New Technology Advances the Biology of the ABCC (MRP) Subfamily

Summary: Members of the ATP-binding cassette (ABC) transporter superfamily exist in bacteria, fungi, plants, and animals and play key roles in the efflux of xenobiotic compounds, physiological substrates, and toxic intracellular metabolites. Based on sequence relatedness, mammalian ABC proteins have been divided into seven subfamilies, ABC subfamily A (ABCA) to ABCG. This review focuses on recent advances in our understanding of ABC transporters in the model organism Saccharomyces cerevisiae. We propose a revised unified nomenclature for the six yeast ABC subfamilies to reflect the current mammalian designations ABCA to ABCG. In addition, we specifically review the well-studied yeast ABCC subfamily (formerly designated the MRP/CFTR subfamily), which includes six members (Ycf1p, Bpt1p, Ybt1p/Bat1p, Nft1p, Vmr1p, and Yor1p). We focus on Ycf1p, the best-characterized yeast ABCC transporter. Ycf1p is located in the vacuolar membrane in yeast and functions in a manner analogous to that of the human multidrug resistance-related protein (MRP1, also called ABCC1), mediating the transport of glutathione-conjugated toxic compounds. We review what is known about Ycf1p substrates, trafficking, processing, posttranslational modifications, regulation, and interactors. Finally, we discuss a powerful new yeast two-hybrid technology called integrated membrane yeast two-hybrid (iMYTH) technology, which was designed to identify interactors of membrane proteins. iMYTH technology has successfully identified novel interactors of Ycf1p and promises to be an invaluable tool in future efforts to comprehensively define the yeast ABC interactome.