Using body mapping as part of the risk assessment process - a case study

This paper reports on a study undertaken to identify levels of MSD in relation to methods of waste collection. The need to quantify and eliminate ill health arising out of work is vital to reduce workplace absence leading to debate on associated relationships between the methods of waste collection and musculoskeletal disorders (MSDs). Body mapping is a participatory research tool that has been successfully used to investigate workplace ill health problems. Participatory body mapping exercises were carried out using staff at a UK District Council 2 years before and after the move from boxes and baskets to a wheeled bin recycling service. The study introduces the concept of Average Pain Count (APC). The data, supports previous studies showing wheeled bin based services (APC 2.07 & 2.80) are associated with less MSD outcomes than services including boxes, baskets and sacks (APC 4.02).The surveys provided compelling evidence to suggest that there are associations between age and self-reported pain although there appeared to be no patterns with regards length of service. These findings should help Local Authorities better understand critical factors regarding waste collection strategies and self-reported pain. There are recommendations regarding the use of body mapping and for industry practice

Are there spurious temperature trends in the United States Climate Division database

The United States (U.S.) Climate Division data set is commonly used in applied climatic studies in the United States. The divisional averages are calculated by including all available stations within a division at any given time. The averages are therefore vulnerable to shifts in average station location or elevation over time, which may introduce spurious trends within these data. This paper examines temperature trends within the 15 climate divisions of New England, comparing the NCDC\u27s U.S. Divisional Data to the U.S. Historical Climate Network (USHCN) data. Correlation and multiple regression revealed that shifts in latitude, longitude, and elevation have affected the quality of the NCDC divisional data with respect to the USHCN. As a result, there may be issues with regard to their use in decadal- to century-scale climate change studies

Inhibition of the Aldehyde Dehydrogenase 1/2 Family by Psoralen and Coumarin Derivatives

Aldehyde dehydrogenase 2 (ALDH2), one of 19 ALDH superfamily members, catalyzes the NAD+-dependent oxidation of aldehydes to their respective carboxylic acids. In this study, we further characterized the inhibition of four psoralen and coumarin derivatives toward ALDH2 and compared them to the ALDH2 inhibitor daidzin for selectivity against five ALDH1/2 isoenzymes. Compound 2 (Ki = 19 nM) binds within the aldehyde-binding site of the free enzyme species of ALDH2. Thirty-three structural analogs were examined to develop a stronger SAR profile. Seven compounds maintained or improved upon the selectivity toward one of the five ALDH1/2 isoenzymes, including compound 36, a selective inhibitor for ALDH2 (Ki = 2.4 μM), and compound 32, which was 10-fold selective for ALDH1A1 (Ki = 1.2 μM) versus ALDH1A2. Further medicinal chemistry on the compounds’ basic scaffold could enhance the potency and selectivity for ALDH1A1 or ALDH2 and generate chemical probes to examine the unique and overlapping functions of the ALDH1/2 isoenzymes

Discovery of a series of aromatic lactones as ALDH1/2-directed inhibitors

In humans, the aldehyde dehydrogenase superfamily consists of 19 isoenzymes which mostly catalyze the NAD(P)(+)-dependent oxidation of aldehydes. Many of these isoenzymes have overlapping substrate specificities and therefore their potential physiological functions may overlap. Thus the development of new isoenzyme-selective probes would be able to better delineate the function of a single isoenzyme and its individual contribution to the metabolism of a particular substrate. This specific study was designed to find a novel modulator of ALDH2, a mitochondrial ALDH isoenzyme most well-known for its role in acetaldehyde oxidation. 53 compounds were initially identified to modulate the activity of ALDH2 by a high-throughput esterase screen from a library of 63,000 compounds. Of these initial 53 compounds, 12 were found to also modulate the oxidation of propionaldehyde by ALDH2. Single concentration measurements at 10μM compound were performed using ALDH1A1, ALDH1A2, ALDH1A3, ALDH2, ALDH1B1, ALDH3A1, ALDH4A1, and/or ALDH5A1 to determine the selectivity of these 12 compounds toward ALDH2. Four of the twelve compounds shared an aromatic lactone structure and were found to be potent inhibitors of the ALDH1/2 isoenzymes, but have no inhibitory effect on ALDH3A1, ALDH4A1 or ALDH5A1. Two of the aromatic lactones show selectivity within the ALDH1/2 class, and one appears to be selective for ALDH2 compared to all other isoenzymes tested

Mark Twain's Views on Formal Education

The purpose of this study is to discuss Twain's role as a critic of the educational system of his day and to explore his views concerning the purposes, methodology, and value of formal education below the college level

Using parent metaphors for learning about the neonatal care experience: an interpretive perspective

© 2019 The Author(s). The final, definitive version of this paper has been published in Journal of Child Health Care by Sage Publications Ltd. All rights reserved. It is available at: https://doi.org/10.1177/1367493519875853.This study focuses on how metaphors are used by parents who have had a premature baby to describe their neonatal care experience and how these can contribute to empathic learning of health professionals. In health, metaphors are commonly used to communicate and explain difficult topics. When patients tell their story, metaphor can be a means of expression from which we can learn about their experience of illness or hospitalisation. Limited research exits on how metaphor can improve our understanding of parent’s emotional experience in neonatal care and subsequently inform education in this field. Employing narrative inquiry within an interpretive, constructivist paradigm, 20 narrative interviews with 23 parents of premature babies were analysed using a process of metaphor identification. Findings revealed common metaphors used to describe experience. Metaphor clusters used by parents in order of frequency were journeying, altered reality, darkness, breaking, connections, fighting, salvation and being on the edge. Parents widely used compelling and emotive metaphors to describe and express both difficult and challenging times as well as progression forward. Metaphors serve as a powerful way for health professionals to learn about the emotional experiences of parents and potentially enhance their empathic understanding.Peer reviewe

Toward understanding the structure of Amot’s ACCH Domain

poster abstractAmots are a family of adaptor proteins widely involved in cell signaling and lipid binding. Amot80 has been linked to cellular proliferation in breast cancer via the VEGF and MAPK signaling pathways, while Amot130 and AmotL1 have been linked to cellular inhibition via the HIPPO signaling pathway. Amot family members also have a characteristic lipid-binding domain – named the ACCH Domain for its predicted coil-coil structure – that has the ability to selectively target phosphoinositols followed by deformation of the membrane. Understanding the structure-function relationship of this domain may provide options to modulate these signaling pathways, directly affecting cellular differentiation, proliferation, and migration. Extensive crystallization attempts for this domain have failed, leading to a bioinformatics and biophysics-combined approach. Using SAXS, data for the globular structure of Amot80 has been generated and analyzed. Additionally, the threading programs ITASSER and LOMETS were used to develop 20 computational theoretical models. By fitting the computational models to the SAXS data, potential ACCH domain models were generated, and then scored based on accuracy of fit via C-score, TMScore, and RMSD values. This 3D model can then be used to discover how Amot interacts with lipids and further the understanding of Amot’s role in the cancer-signaling cascade

N,N-diethylaminobenzaldehyde (DEAB) as a substrate and mechanism-based inhibitor for human ALDH isoenzymes

N,N-diethylaminobenzaldehyde (DEAB) is a commonly used "selective" inhibitor of aldehyde dehydrogenase isoenzymes in cancer stem cell biology due to its inclusion as a negative control compound in the widely utilized Aldefluor assay. Recent evidence has accumulated that DEAB is not a selective inhibitory agent when assayed in vitro versus ALDH1, ALDH2 and ALDH3 family members. We sought to determine the selectivity of DEAB toward ALDH1A1, ALDH1A2, ALDH1A3, ALDH1B1, ALDH1L1, ALDH2, ALDH3A1, ALDH4A1 and ALDH5A1 isoenzymes and determine the mechanism by which DEAB exerts its inhibitory action. We found that DEAB is an excellent substrate for ALDH3A1, exhibiting a Vmax/KM that exceeds that of its commonly used substrate, benzaldehyde. DEAB is also a substrate for ALDH1A1, albeit an exceptionally slow one (turnover rate ∼0.03 min(-1)). In contrast, little if any turnover of DEAB was observed when incubated with ALDH1A2, ALDH1A3, ALDH1B1, ALDH2 or ALDH5A1. DEAB was neither a substrate nor an inhibitor for ALDH1L1 or ALDH4A1. Analysis by enzyme kinetics and QTOF mass spectrometry demonstrates that DEAB is an irreversible inhibitor of ALDH1A2 and ALDH2 with apparent bimolecular rate constants of 2900 and 86,000 M(-1) s(-1), respectively. The mechanism of inactivation is consistent with the formation of quinoid-like resonance state following hydride transfer that is stabilized by local structural features that exist in several of the ALDH isoenzymes

Shaped nozzles for cryogenic buffer gas beam sources

Cryogenic buffer gas beams are important sources of cold molecules. In this work we explore the use of a converging-diverging nozzle with a buffer-gas beam. We find that, under appropriate circumstances, the use of a nozzle can produce a beam with improved collimation, lower transverse temperatures, and higher fluxes per solid angle

Enrichment of Chemical Libraries Docked to Protein Conformational Ensembles and Application to Aldehyde Dehydrogenase 2

Molecular recognition is a complex process that involves a large ensemble of structures of the receptor and ligand. Yet, most structure-based virtual screening is carried out on a single structure typically from X-ray crystallography. Explicit-solvent molecular dynamics (MD) simulations offer an opportunity to sample multiple conformational states of a protein. Here we evaluate our recently developed scoring method SVMSP in its ability to enrich chemical libraries docked to MD structures of seven proteins from the Directory of Useful Decoys (DUD). SVMSP is a target-specific rescoring method that combines machine learning with statistical potentials. We find that enrichment power as measured by the area under the ROC curve (ROC-AUC) is not affected by increasing the number of MD structures. Among individual MD snapshots, many exhibited enrichment that was significantly better than the crystal structure, but no correlation between enrichment and structural deviation from crystal structure was found. We followed an innovative approach by training SVMSP scoring models using MD structures (SVMSPMD). The resulting models were applied to two difficult cases (p38 and CDK2) for which enrichment was not better than random. We found remarkable increase in enrichment power, particularly for p38, where the ROC-AUC increased by 0.30 to 0.85. Finally, we explored approaches for a priori identification of MD snapshots with high enrichment power from an MD simulation in the absence of active compounds. We found that the use of randomly selected compounds docked to the target of interest using SVMSP led to notable enrichment for EGFR and Src MD snapshots. SVMSP rescoring of protein–compound MD structures was applied for the search of small-molecule inhibitors of the mitochondrial enzyme aldehyde dehydrogenase 2 (ALDH2). Rank-ordering of a commercial library of 50 000 compounds docked to MD structures of ALDH2 led to five small-molecule inhibitors. Four compounds had IC50s below 5 μM. These compounds serve as leads for the design and synthesis of more potent and selective ALDH2 inhibitors