Scientific Illiteracy and the Partisan Takeover of Biology

Americans have long worried about conflicts between scientific and religious beliefs. For the most part, this ambivalence has not threatened the practice and teaching of biology--until recently

Medication use, renin-angiotensin system inhibitors, and acute care utilization after hospitalization in patients with chronic kidney disease.

OBJECTIVES: The aims of this secondary analysis were to: (a) characterize medication use following hospital discharge for patients with chronic kidney disease (CKD), and (b) investigate relationships of medication use with the primary composite outcome of acute care utilization 90 days after hospitalization. METHODS: The CKD-Medication Intervention Trial (CKD-MIT) enrolled acutely ill hospitalized patients with CKD stages 3-5 not dialyzed (CKD 3-5 ND). In this post hoc analysis, data for medication use were characterized, and the relationship of medication use with the primary outcome was evaluated using Cox proportional hazards models. RESULTS: Participants were taking a mean of 12.6 (standard deviation=5.1) medications, including medications from a wide variety of medication classes. Nearly half of study participants were taking angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARB). ACE inhibitor/ARB use was associated with decreased risk of the primary outcome (hazard ratio=0.51; 95% confidence interval 0.28-0.95; CONCLUSIONS: A large number, variety, and complexity of medications were used by hospitalized patients with CKD 3-5 ND. ACE inhibitor or ARB use at hospital discharge was associated with a decreased risk of 90-day acute care utilization

Antidepressant-Like Actions of Inhibitors of Poly(ADP-Ribose) Polymerase in Rodent Models

Many patients suffering from depressive disorders are refractory to treatment with currently available antidepressant medications, while many more exhibit only a partial response. These factors drive research to discover new pharmacological approaches to treat depression. Numerous studies demonstrate evidence of inflammation and elevated oxidative stress in major depression. Recently, major depression has been shown to be associated with elevated levels of DNA oxidation in brain cells, accompanied by increased gene expression of the nuclear base excision repair enzyme, poly(ADP-ribose) polymerase-1. Given these findings and evidence that drugs that inhibit poly(ADP-ribose) polymerase-1 activity have antiinflammatory and neuroprotective properties, the present study was undertaken to examine the potential antidepressant properties of poly(ADP-ribose) polymerase inhibitors

Modeling regional-scale wildland fire emissions with the wildland fire emissions information system

As carbon modeling tools become more comprehensive, spatial data are needed to improve quantitative maps of carbon emissions from fire. The Wildland Fire Emissions Information System (WFEIS) provides mapped estimates of carbon emissions from historical forest fires in the United States through a web browser. WFEIS improves access to data and provides a consistent approach to estimating emissions at landscape, regional, and continental scales. The system taps into data and tools developed by the U.S. Forest Service to describe fuels, fuel loadings, and fuel consumption and merges information from the U.S. Geological Survey (USGS) and National Aeronautics and Space Administration on fire location and timing. Currently, WFEIS provides web access to Moderate Resolution Imaging Spectroradiometer (MODIS) burned area for North America and U.S. fire-perimeter maps from the Monitoring Trends in Burn Severity products from the USGS, overlays them on 1-km fuel maps for the United States, and calculates fuel consumption and emissions with an open-source version of the Consume model. Mapped fuel moisture is derived from daily meteorological data from remote automated weather stations. In addition to tabular output results, WFEIS produces multiple vector and raster formats. This paper provides an overview of the WFEIS system, including the web-based system functionality and datasets used for emissions estimates. WFEIS operates on the web and is built using open-source software components that work with open international standards such as keyhole markup language (KML). Examples of emissions outputs from WFEIS are presented showing that the system provides results that vary widely across the many ecosystems of North America and are consistent with previous emissions modeling estimates and products

Weight loss reduces basal-like breast cancer through kinome reprogramming

Additional file 1. Tumor burden and growth were not affected by diet. a. Tumor burden was quantified at sacrifice. b. Tumor volume was measured by calipers at detection and sacrifice. (N = 28 10 %; N = 31 60 %; N = 29, 60–10 %)

Misinformation as Immigration Control

It is wrong to force refugees to return to the countries they fled from. It is similarly wrong, many argue, to force migrants back to countries with life-threatening conditions. I argue that it is additionally wrong to help such refugees and migrants voluntarily return whilst failing to inform them of the risks. Drawing on existing data, and original data from East Africa, I describe distinct types of cases where such a wrong arises. In ‘Misinformation Cases’ officials tell refugees that it is safe to return, when it is not, and refugees return who would have otherwise stayed. In ‘Omission Cases’ officials do not provide any information on countries of origin, and this omission causes refugees to repatriate. In ‘Relevancy Cases’ refugees are misinformed or uninformed, but would have returned even if better informed. In all of these cases, at least some state officials are blameworthy for their failure to inform refugees, and are engaging in a form of wrongful immigration control

Using stylized agent-based models for population–environment research: a case study from the Galápagos Islands

Agent Based Models (ABMs) are powerful tools for population-environment research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use / Land Cover (LULC) dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews, and represents the primary livelihoods of the population in the Galápagos Islands – tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of research, as platforms for (1) sharpening conceptualizations of population-environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps

Discovery of estrogen receptor α target genes and response elements in breast tumor cells

BACKGROUND: Estrogens and their receptors are important in human development, physiology and disease. In this study, we utilized an integrated genome-wide molecular and computational approach to characterize the interaction between the activated estrogen receptor (ER) and the regulatory elements of candidate target genes. RESULTS: Of around 19,000 genes surveyed in this study, we observed 137 ER-regulated genes in T-47D cells, of which only 89 were direct target genes. Meta-analysis of heterogeneous in vitro and in vivo datasets showed that the expression profiles in T-47D and MCF-7 cells are remarkably similar and overlap with genes differentially expressed between ER-positive and ER-negative tumors. Computational analysis revealed a significant enrichment of putative estrogen response elements (EREs) in the cis-regulatory regions of direct target genes. Chromatin immunoprecipitation confirmed ligand-dependent ER binding at the computationally predicted EREs in our highest ranked ER direct target genes, NRIP1, GREB1 and ABCA3. Wider examination of the cis-regulatory regions flanking the transcriptional start sites showed species conservation in mouse-human comparisons in only 6% of predicted EREs. CONCLUSIONS: Only a small core set of human genes, validated across experimental systems and closely associated with ER status in breast tumors, appear to be sufficient to induce ER effects in breast cancer cells. That cis-regulatory regions of these core ER target genes are poorly conserved suggests that different evolutionary mechanisms are operative at transcriptional control elements than at coding regions. These results predict that certain biological effects of estrogen signaling will differ between mouse and human to a larger extent than previously thought