Anti-RNA polymerase I antibodies in sera of MRL lpr/lpr and MRL +/+ autoimmune mice. Correlation of antibody production with delayed onset of lupus-like disease in MRL +/+ mice

This is the publisher's version, also available electronically from http://jem.rupress.org/content/162/6/1760.Sera from individual MRL/lpr and MRL/++ mice, which develop an autoimmune disease similar to human systemic lupus erythematosus (SLE), were screened over a period of approximately 30 wk for the presence of anti-RNA polymerase I and anti-ssDNA antibodies. Even though onset of the disease is delayed in MRL/++ as compared to MRL/lpr mice, anti-ssDNA antibodies were present in comparable concentrations in the sera of all mice by the age of 6 wk. As observed in sera of human SLE patients, anti-RNA polymerase I antibodies were detected in the sera of all MRL mice. However, unlike the anti-ssDNA antibodies, anti-RNA polymerase I antibodies were detected much later in MRL/++ mice (mean age, 22.8 wk) as compared to MRL/lpr mice (mean age, 9.6 wk). The presence of anti-RNA polymerase I antibodies in sera of MRL mice was thus a much better indicator of disease status than the presence of anti-ssDNA antibodies. The appearance and increase in anti-RNA polymerase I antibodies in the sera of MRL/++ mice correlated (R2 = 0.964) with a precipitous decrease in anti-ssDNA antibodies, starting at about 20 wk of age. These results suggest a possible relationship between the RNA polymerase I and DNA autoimmune reactions

Sleep disturbance at pre-deployment is a significant predictor of post-deployment re-experiencing symptoms.

Background: Insomnia is common in service members and associated with many mental and physical health problems. Recently, longitudinal data have been used to assess the impact of disturbed sleep on mental health outcomes. These studies have consistently shown relationships between sleep disturbance and development of mental illness. Objective: The present study examined the longitudinal relationship between sleep disturbance and PTSD symptomatology in a cohort of Marines and Navy Corpsmen deployed to Iraq and Afghanistan (n = 2,404) assessed prior to deployment, as well as at -3 and 6 months post-deployment. Additionally, we aimed to investigate the extent to which these relationships are moderated by combat-stress severity, and to what extent these findings are replicated in a second, separate cohort of Marines and Navy corpsmen (n = 938) assessed with identical measures prior to deployment and within 3 months of return. Method: The present study employed latent variable path models to examine the relationships between pre-deployment sleep disturbance and post-deployment re-experiencing symptoms. Initial cross-lagged path models were conducted on discovery and replication samples to validate the hypothesized predictive relationships. Follow up moderation path models were then conducted to include the effect of combat-stress severity on these relationships. Results: Initial cross-lagged models supported a significant relationship between pre-deployment sleep disturbance and future re-experiencing PTSD symptoms at all time points. Initial moderation models showed a small moderator effect of combat-stress severity, though the main predictive relationship between pre-deployment sleep disturbance and PTSD symptoms remained significant. The moderator effect was not significant in the replication sample. Conclusions: The results of this study support pre-deployment sleep disturbance as a risk factor for development of post-deployment PTSD symptoms. Interventions aimed at normalizing sleep may be important in preventive measures for PTSD

Sustainable Agriculture

The Sustainable Agriculture team is addressing malnutrition through aquaponics. Aquaponics is a soil-free farming method that reduces growing periods and water consumption by 90% compared to traditional methods. The Sustainable Agriculture team works alongside its clients, Youth with a Mission and Trans World Radio, to develop and implement universal and scalable aquaponics prototypes. This year, the team designed and constructed nine working prototypes for a sensitivity analysis. The team also constructed two unique airlift pumps to create alternatives for their clients. They also produced a digital system monitor for tracking temperature, pH, and dissolved oxygen in the aquaponics prototypes for our clients at Youth with a Mission. Funding for this work provided by The Collaboratory for Strategic Partnerships and Applied Research.https://mosaic.messiah.edu/engr2022/1019/thumbnail.jp

Comparing the impact on COVID-19 mortality of self-imposed behavior change and of government regulations across 13 countries.

OBJECTIVE: Countries have adopted different approaches, at different times, to reduce the transmission of coronavirus disease 2019 (COVID-19). Cross-country comparison could indicate the relative efficacy of these approaches. We assess various nonpharmaceutical interventions (NPIs), comparing the effects of voluntary behavior change and of changes enforced via official regulations, by examining their impacts on subsequent death rates. DATA SOURCES: Secondary data on COVID-19 deaths from 13 European countries, over March-May 2020. STUDY DESIGN: We examine two types of NPI: the introduction of government-enforced closure policies and self-imposed alteration of individual behaviors in the period prior to regulations. Our proxy for the latter is Google mobility data, which captures voluntary behavior change when disease salience is sufficiently high. The primary outcome variable is the rate of change in COVID-19 fatalities per day, 16-20 days after interventions take place. Linear multivariate regression analysis is used to evaluate impacts. DATA COLLECTION/EXTRACTION METHODS: publicly available. PRINCIPAL FINDINGS: Voluntarily reduced mobility, occurring prior to government policies, decreases the percent change in deaths per day by 9.2 percentage points (pp) (95% confidence interval [CI] 4.5-14.0 pp). Government closure policies decrease the percent change in deaths per day by 14.0 pp (95% CI 10.8-17.2 pp). Disaggregating government policies, the most beneficial for reducing fatality, are intercity travel restrictions, canceling public events, requiring face masks in some situations, and closing nonessential workplaces. Other sub-components, such as closing schools and imposing stay-at-home rules, show smaller and statistically insignificant impacts. CONCLUSIONS: NPIs have substantially reduced fatalities arising from COVID-19. Importantly, the effect of voluntary behavior change is of the same order of magnitude as government-mandated regulations. These findings, including the substantial variation across dimensions of closure, have implications for the optimal targeted mix of government policies as the pandemic waxes and wanes, especially given the economic and human welfare consequences of strict regulations

An Automated Images-to-Graphs Framework for High Resolution Connectomics

Reconstructing a map of neuronal connectivity is a critical challenge in contemporary neuroscience. Recent advances in high-throughput serial section electron microscopy (EM) have produced massive 3D image volumes of nanoscale brain tissue for the first time. The resolution of EM allows for individual neurons and their synaptic connections to be directly observed. Recovering neuronal networks by manually tracing each neuronal process at this scale is unmanageable, and therefore researchers are developing automated image processing modules. Thus far, state-of-the-art algorithms focus only on the solution to a particular task (e.g., neuron segmentation or synapse identification). In this manuscript we present the first fully automated images-to-graphs pipeline (i.e., a pipeline that begins with an imaged volume of neural tissue and produces a brain graph without any human interaction). To evaluate overall performance and select the best parameters and methods, we also develop a metric to assess the quality of the output graphs. We evaluate a set of algorithms and parameters, searching possible operating points to identify the best available brain graph for our assessment metric. Finally, we deploy a reference end-to-end version of the pipeline on a large, publicly available data set. This provides a baseline result and framework for community analysis and future algorithm development and testing. All code and data derivatives have been made publicly available toward eventually unlocking new biofidelic computational primitives and understanding of neuropathologies.Comment: 13 pages, first two authors contributed equally V2: Added additional experiments and clarifications; added information on infrastructure and pipeline environmen

Mystify me: Coke, terror and the symbolic immortality boost

A panel on “Marketing as Mystification” convened at the 2011 Academy of Marketing conference in Liverpool. Ideas from the Liverpool event were supplemented by commentaries from selected other authors. Each commentary explores the aspects of “mystification” observable in marketing discourses and practices. In what follows, Laufer interprets marketing mystification as modern form of sophism, Dholakia and Firat discuss mystifying ways that inequality is marketed, Varman analyzes the perversion and mystification of “development” via neoliberal marketing of “social entrepreneurship,” Mikkonen explores mystifying marketing representations of gays and lesbians, and Freund and Jacobi present a fascinating interpretation of how Coca-Cola advertising mystically reassures us that our difficult, dangerous lifeworld is actually quite hunky-dory. </jats:p