Effects of Neonicotinoid Pesticide Exposure on Human Health: A Systematic Review.

BACKGROUND: Numerous studies have identified detectable levels of neonicotinoids (neonics) in the environment, adverse effects of neonics in many species including mammals, and pathways through which human exposure to neonics could occur, yet little is known about the human health effects of neonic exposure. OBJECTIVE: This systematic review sought to identify human population studies on the health effects of neonics. METHODS: Studies published in English between 2005 and 2015 were searched using PubMed, Scopus, and Web of Science databases. No restrictions were placed on the type of health outcome assessed. Risk of bias was assessed using guidance developed by the National Toxicology Program\u27s Office of Health Assessment and Translation. RESULTS: Eight studies investigating the human health effects of exposure to neonics were identified. Four examined acute exposure: three neonic poisoning studies reported two fatalities (n=1280 cases) and an occupational exposure study of 19 forestry workers reported no adverse effects. Four general population studies reported associations between chronic neonic exposure and adverse developmental or neurological outcomes, including tetralogy of Fallot (AOR 2.4, 95% CI: 1.1-5.4), anencephaly (AOR 2.9, 95% CI: 1.0-8.2), autism spectrum disorder (AOR 1.3, 95% CrI: 0.78-2.2), and a symptom cluster including memory loss and finger tremor (OR 14, 95% CI: 3.5-57). Reported odds ratios were based on exposed compared to unexposed groups. CONCLUSIONS: The studies conducted to date were limited in number with suggestive but methodologically weak findings related to chronic exposure. Given the wide-scale use of neonics, more needs to be known about their human health effects

Bicyclic Boronate β-Lactamase Inhibitors: The Present Hope against Deadly Bacterial Pathogens

The use of β-lactamase inhibitors in combination with β-lactam antibiotics is an emerging area in drug discovery. This strategy allows the restoration of the therapeutic efficacy of these antibiotics in clinical use against multiresistant bacteria. These pathogens are drug resistant because they express β-lactamase enzymes, which prevent the antibiotic therapeutic action by catalyzing the hydrolysis of the β-lactam ring. These enzymes are quite diverse in both their structural architecture and hydrolytic capability, as well as in the mechanism of action. The ever-increasing emergence of pathogens that are capable of coproducing different types of β-lactamases has triggered the search for ultrabroad-spectrum inhibitors capable of deactivating both serine- and metallo-β-lactamases. A recent breakthrough in this long-pursued and unmet need is the discovery of bicyclic boronate inhibitors, specifically taniborbactam, VNRX-7145, and QPX7728, which are currently under clinical development in combination with cefepime, ceftibuten, and QPX2014, respectively. The present article highlights the therapeutic potential of these inhibitors and their spectrum of efficacy is compared with those of other β-lactam/β-lactamase inhibitor combinations recently approved by the food and drug administration. The molecular basis of the ultrabroad-spectrum of activity of boron-based inhibitors is also discussed, on the basis of the available crystal structures and the results of computational studiesinancial support from the Spanish Ministry of Economy and Competiveness (SAF2016-75638-R, PID2019-105512RB-I00), the Xunta de Galicia [ED431B 2018/04 and Centro singular de investigación de Galicia accreditation 2019–2022 (ED431G 2019/03)], and the European Regional Development Fund (ERDF) is gratefully acknowledgedS

Microbial transport as affected by residue cover and manure application rate

Manure is applied to cropland areas with varying surface cover to meet single- or multiple-year crop nutrient requirements. The objectives of this field study were to (1) examine microbial transport following land application of manure to sites with and without wheat residue, (2) compare microbial loads following land application to meet the 0, 1, 2, 4, and 8-year P-based requirements for corn, and (3) evaluate the effects of rainfall simulation run on microbial transport. Manure was added and incorporated by disking plots that were 0.75 m wide by 2.0 m long. Three 30 min simulated rainfall events, separated by 24 h intervals, were then applied at an intensity of 70 mm h-1. Plots containing wheat residue had a total coliform load of 12.6 log CFU ha-1, which was significantly greater than the 12.4 log CFU ha-1 measured on the plots without wheat residue. The plots with and without wheat residue had transport rates of E. coli and enterococci that were not significantly different. The plots on which manure was added at rates varying from 5.4 to 42.8 Mg ha-1 had counts of total coliforms and enterococci that were not significantly different. Rainfall simulation run did not significantly affect measurements of phages, total coliforms, or enterococci. Transport of selected microbes was found to be significantly affected by residue cover, manure application rate, and rainfall simulation run

Diesel particulate matter emission factors and air quality implications from in–service rail in Washington State, USA

AbstractWe sought to evaluate the air quality implications of rail traffic at two sites in Washington State. Our goals were to quantify the exposure to diesel particulate matter (DPM) and airborne coal dust from current trains for residents living near the rail lines and to measure the DPM and black carbon emission factors (EFs). We chose two sites in Washington State, one at a residence along the rail lines in the city of Seattle and one near the town of Lyle in the Columbia River Gorge (CRG). At each site, we made measurements of size–segregated particulate matter (PM1, PM2.5 and PM10), CO2 and meteorology, and used a motion–activated camera to capture video of each train for identification. We measured an average DPM EF of 0.94g/kg diesel fuel, with an uncertainty of 20%, based on PM1 and CO2 measurements from more than 450 diesel trains. We found no significant difference in the average DPM EFs measured at the two sites. Open coal trains have a significantly higher concentration of particles greater than 1μm diameter, likely coal dust. Measurements of black carbon (BC) at the CRG site show a strong correlation with PM1 and give an average BC/DPM ratio of 52% from diesel rail emissions. Our measurements of PM2.5 show that living close to the rail lines significantly increases PM2.5 exposure. For the one month of measurements at the Seattle site, the average PM2.5 concentration was 6.8μg/m3 higher near the rail lines compared to the average from several background locations. Because the excess PM2.5 exposure for residents living near the rail lines is likely to be linearly related to the diesel rail traffic density, a 50% increase in rail traffic may put these residents over the new U.S. National Ambient Air Quality Standards, an annual average of 12μg/m3

Pregnancy in teenagers diagnosed with type 1 diabetes mellitus in childhood: a national population-based e-cohort study

The aim of this study was to describe the characteristics and outcomes of pregnancies in a national cohort of teenage (<20 years) and young adult women (≥20 years) with and without childhood-onset (<15 years) type 1 diabetes. We hypothesised that, owing to poor glycaemic control during the teenage years, pregnancy outcomes would be poorer in teenage mothers with type 1 diabetes than young adult mothers with type 1 diabetes and mothers without diabetes

Integrating Agriculture and Ecosystems to Find Suitable Adaptations to Climate Change

Climate change is altering agricultural production and ecosystems around the world. Future projections indicate that additional change is expected in the coming decades, forcing individuals and communities to respond and adapt. Current research efforts typically examine climate change effects and possible adaptations but fail to integrate agriculture and ecosystems. This failure to jointly consider these systems and associated externalities may underestimate climate change impacts or cause adaptation implementation surprises, such as causing adaptation status of some groups or ecosystems to be worsened. This work describes and motivates reasons why ecosystems and agriculture adaptation require an integrated analytical approach. Synthesis of current literature and examples from Texas are used to explain concepts and current challenges. Texas is chosen because of its high agricultural output that is produced in close interrelationship with the surrounding semi-arid ecosystem. We conclude that future effect and adaptation analyses would be wise to jointly consider ecosystems and agriculture. Existing paradigms and useful methodology can be transplanted from the sustainable agriculture and ecosystem service literature to explore alternatives for climate adaptation and incentivization of private agriculturalists and consumers. Researchers are encouraged to adopt integrated modeling as a means to avoid implementation challenges and surprises when formulating and implementing adaptation

Identifying the PECO:A framework for formulating good questions to explore the association of environmental and other exposures with health outcomes

[First paragraph] A clearly-framed question creates the structure and delineates the approach to defining research objectives, conducting systematic reviews and developing health guidance (Guyatt et al., 2011; Armstrong et al., 2007). To assess the association between exposures and outcomes, including in the field of nutrition, environmental and occupational health, the concept of defining the Population (including animal species), Exposure, Comparator, and Outcomes (PECO) as pillars of the question is increasingly accepted (Morgan et al., 2016; Morgan et al., n.d.). Thus, the PECO defines the objectives of the review or guideline. Furthermore, the PECO informs the study design or inclusion and exclusion criteria for a review, as well as facilitating the interpretation of the directness of the findings based on how well the actual research findings represent the original question