Inherent and benzo[a]pyrene-induced differential aryl hydrocarbon receptor signaling greatly affects life span, atherosclerosis, cardiac gene expression, and body and heart growth in mice

Little is known of the environmental factors that initiate and promote disease. The aryl hydrocarbon receptor (AHR) is a key regulator of xenobiotic metabolism and plays a major role in gene/environment interactions. The AHR has also been demonstrated to carry out critical functions in development and disease. A qualitative investigation into the contribution by the AHR when stimulated to different levels of activity was undertaken to determine whether AHR-regulated gene/environment interactions are an underlying cause of cardiovascular disease. We used two congenic mouse models differing at the Ahr gene, which encodes AHRs with a 10-fold difference in signaling potencies. Benzo[a]pyrene (BaP), a pervasive environmental toxicant, atherogen, and potent agonist for the AHR, was used as the environmental agent for AHR activation. We tested the hypothesis that activation of the AHR of different signaling potencies by BaP would have differential effects on the physiology and pathology of the mouse cardiovascular system. We found that differential AHR signaling from an exposure to BaP caused lethality in mice with the low-affinity AHR, altered the growth rates of the body and several organs, induced atherosclerosis to a greater extent in mice with the high-affinity AHR, and had a huge impact on gene expression of the aorta. Our studies also demonstrated an endogenous role for AHR signaling in regulating heart size. We report a gene/environment interaction linking differential AHR signaling in the mouse to altered aorta gene expression profiles, changes in body and organ growth rates, and atherosclerosis

Emerging opportunities provided by technology to advance research in child health globally

CITATION: van Heerden, A. et al. 2020. Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally. Global Pediatric Health, 7:1-9. doi:10.1177/2333794X20917570.The original publication is available at https://journals.sagepub.com/home/gphCurrent approaches to longitudinal assessment of children’s developmental and psychological well-being, as mandated in the United Nations Sustainable Development Goals, are expensive and time consuming. Substantive understanding of global progress toward these goals will require a suite of new robust, cost-effective research tools designed to assess key developmental processes in diverse settings. While first steps have been taken toward this end through efforts such as the National Institutes of Health’s Toolbox, experience-near approaches including naturalistic observation have remained too costly and time consuming to scale to the population level. This perspective presents 4 emerging technologies with high potential for advancing the field of child health and development research, namely (1) affective computing, (2) ubiquitous computing, (3) eye tracking, and (4) machine learning. By drawing attention of scientists, policy makers, investors/funders, and the media to the applications and potential risks of these emerging opportunities, we hope to inspire a fresh wave of innovation and new solutions to the global challenges faced by children and their families.https://journals.sagepub.com/doi/10.1177/2333794X20917570Publishers versio

Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally.

Current approaches to longitudinal assessment of children's developmental and psychological well-being, as mandated in the United Nations Sustainable Development Goals, are expensive and time consuming. Substantive understanding of global progress toward these goals will require a suite of new robust, cost-effective research tools designed to assess key developmental processes in diverse settings. While first steps have been taken toward this end through efforts such as the National Institutes of Health's Toolbox, experience-near approaches including naturalistic observation have remained too costly and time consuming to scale to the population level. This perspective presents 4 emerging technologies with high potential for advancing the field of child health and development research, namely (1) affective computing, (2) ubiquitous computing, (3) eye tracking, and (4) machine learning. By drawing attention of scientists, policy makers, investors/funders, and the media to the applications and potential risks of these emerging opportunities, we hope to inspire a fresh wave of innovation and new solutions to the global challenges faced by children and their families

Taking It to the Extreme:The Effect of Coalition Cabinets on Foreign Policy

Institutional constraints have been offered by some scholars as an explanation for why multiparty coalitions should be more peaceful than single-party cabinets. Yet others see the same institutional setting as a prescription for more aggressive behavior. Recent research has investigated these conflicting expectations, but with mixed results. We examine the theoretical bases for these alternative expectations about the effects of coalition politics on foreign policy. We find that previous research is limited theoretically by confounding institutional effects with policy positions, and empirically by analyzing only international conflict data. We address these limitations by examining cases of foreign policy behavior using the World Event/Interaction Survey (WEIS) dataset. Consistent with our observation that institutional constraints have been confounded with policy positions, we find that coalitions are neither more aggressive nor more peaceful, but do engage in more extreme foreign policy behaviors. These findings are discussed with regard to various perspectives on the role of institutions in shaping foreign policy behavior.</p

Long-term risk of medical conditions associated with breast cancer treatment

Early and late effects of cancer treatment are of increasing concern with growing survivor populations, but relevant data are sparse. We sought to determine the prevalence and hazard ratio of such effects in breast cancer cases

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Clinically Relevant Changes in Family History of Cancer Over Time

Knowledge of family cancer history is important for assessing cancer risk and guiding screening recommendations

Values, attributes and practices of dance artists in inclusive dance talent development contexts

There is a paucity of research focused on understanding the qualities which underpin dance artists’ practice in working with talented young dancers with disabilities. This study investigated what informs how dance artists work in inclusive dance talent development contexts. Four dance class observations were conducted to provide evidence of dance artists’ qualities in practice. Six dance artists participated in semi-structured interviews. Thematic data analysis revealed four categories: the dance persona; values; attributes; and practices of dance artists. The dance persona was typified by characteristics such as being human, humility, altruism, and confidence. Artists’ values and attributes included celebrating difference, aspiring towards equality and relationality. Their practices were exemplified by varied differentiation strategies and an emphasis on reflection. These findings provide new insight into what drives artists working with dancers with and without disabilities, and aids better understanding of best practice in this context

Common Familial Colorectal Cancer Linked to Chromosome 7q31: A Genome-Wide Analysis

Present investigations suggest that approximately 30% of colorectal cancer (CRC) cases arise on the basis of inherited factors. We hypothesize that the majority of inherited factors are moderately penetrant genes, common in the population. We use an affected sibling pair approach to identify genetic regions that are coinherited by siblings with CRC. Individuals from families with at least two siblings diagnosed with colorectal adenocarcinoma or high grade dysplasia were enrolled. Known familial CRC syndromes were excluded. A genome-wide scan on 151 DNA samples from 70 kindreds was completed using deCODE's 1100 short tandem repeat marker set at an average 4 cM density. Fine mapping on a total of 184 DNAs from 83 kindreds was done in regions suggesting linkage. Linkage analysis was accomplished with MERLIN analysis package. Linkage analysis revealed three genetic regions with NPL LOD scores ≥ 2.0: Ch. 3q29, LOD 2.61 (p=0.0003); Ch. 4q31.3, LOD 2.13 (p=0.0009); and Ch. 7q31.31, LOD 3.08 (p=0.00008). Affected siblings with increased sharing at the 7q31 locus have an 3.8 year (±3.5) earlier age of CRC onset although this is not statistically significant (p=0.11). No significant linkage was found near genes causing known syndromes or, regions previously reported (8q24, 9q22, and 11q23). The chromosome 3q21-q24 region reported to be linked in CRC relative pairs, is supported by our study, albeit a minor peak (LOD 0.9, p=0.02). No known familial cancer genes reside in the 7q31 locus, thus the identified region may contain a novel susceptibility gene responsible for common familial CRC