125 research outputs found
An arc of death : suicide, alcoholism, murder, accidents, and other early deaths in St. Louis, Missouri, 1875 to 1885
In this study of 120 coroner's inquests conducted in St. Louis between 1875 and 1885, the author examines how six different kinds of deaths were investigated and interpreted. Each chapter focuses on a different cause of death: suicide, alcohol-related deaths, deaths caused by complications from abortions, homicides, accidents, and natural deaths. While coroners ultimately determined how and why a person died, their verdicts were informed by their interviews with witnesses and were subsequently reported on by the press. By viewing death investigations from three social locations -- that of the investigating coroner, witnesses in the inquest, and newspaper reporters' it becomes apparent that three factors were the most important factors in investigating and interpreting deaths. These factors were whether the deceased had family members who testified on their behalf, whether the coroner believed that it was possible that another person may have caused or contributed to the death that he was investigating, and the reputation of the deceased. Coroners did not investigate all deaths the same way, but based them on their own assumptions as well as their training and Missouri law. The ways in which these men and women lived shaped not only how they died, but how their deaths were investigated and interpreted.Includes bibliographical reference
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Differential Effects of the Hormonal and Copper Intrauterine Device on the Endometrial Transcriptome.
The contraceptive effectiveness of intrauterine devices (IUDs) has been attributed in part to a foreign body reaction in the endometrium. We performed this study to better understand mechanisms of action of contraceptives of by studying their effects on endometrial and cervical transcriptomes. We collected endometrial and cervical biopsies from women using the levonorgestrel-releasing intrauterine system (LNG-IUS, n = 11), copper intrauterine device (cu-IUD, n = 13) or levonorgestrel-containing combined oral contraceptives (COC, n = 12), and from women not using contraceptives (control group, n = 11). Transcriptional profiling was performed with Affymetrix arrays, Principal Component Analysis and the bioconductor package limma. In endometrial samples from cu-IUD users, there were no genes with statistically significant differential expression compared to controls. In LNG-IUS users, 2509 genes were differentially expressed and mapped predominantly onto immune and inflammatory pathways. The cervical samples showed no statistically significant differential gene expression compared to controls. Hormonal and copper IUDs have significantly different effects on the endometrial transcriptome, with the LNG-IUS transcriptome showing pronounced inflammation and immune activation compared to controls whereas the cu-IUD transcriptome was indistinguishable from luteal phase endometrium. These findings argue against a foreign body reaction as a common mechanism of action of IUDs
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Lichen communities and species indicate climate thresholds in southeast and south-central Alaska, USA
Because of their unique physiology, lichen communities are highly sensitive to climatic conditions, making them ideal bioindicators for climate change. Southeast and south-central Alaska host diverse and abundant lichen communities and are faced with a more rapidly changing climate than many more southerly latitudes. We develop sensitive lichen-based indicators for tracking the effects of climate change in south-central and southeast Alaska. Using 196 plots, we model community composition and 12 individual species abundances in relation to synthetic climate variables. Both types of lichen indicator are closely related to the climate variable describing a transition from warm, wet oceanic climates to cooler, drier suboceanic climates. Lichen communities and individual species exhibited thresholds associated with average December minimum temperatures between –10.2 and –7.8°C and annual precipitation between 106 and 172 cm, suggesting rapid turnover with relatively small changes within these
ranges. These climate conditions occur close to the coast in northern portions of the region and further inland in southeast Alaska. Because lichen communities in the threshold region may be most sensitive to a changing future climate, they should be targeted for monitoring efforts.Keywords: epiphytes, community analysis, Alaska, climate, threshold
Using Community-Based Programming to Increase Family Social Support for Healthy Eating among African American Adolescents
Little is known about emotional and instrumental social support for nutrition behaviors among African-American adolescents. In this paper, we specifically examine intervention effects on emotional, instrumental and total (composite) social support for fruit/vegetable and low-fat dairy intake. Data from a larger intervention, based on Social Cognitive Theory, which was implemented with 38 African-American adolescents and their families to increase fruit/vegetable intake, low-fat dairy intake and physical activity behaviors are presented. One-way ANOVA analyses revealed that intervention participants had positive and significant increases in emotional social support for low-fat dairy intake (P=0.01), total social support for fruit/vegetable intake (P=0.05), and total social support for low-fat dairy intake (P=0.02). Specific recommendations addressing family social support for healthy eating through youth development programming are discussed
Effects of the levonorgestrel-releasing intrauterine device on the immune microenvironment of the human cervix and endometrium
There is little information regarding the impact of the intrauterine device on immune parameters of the upper female reproductive tract related to risk of HIV acquisition
A Multi-disciplinary Overview of Chagas in Periurban Peru
There are between 8 and 11 million cases of America Human Trypanosomiasis, commonly known as Chagas disease, in Latin America. Chagas is endemic in southern Peru, especially the Arequipa region, where it has expanded from poor, rural areas to periurban communities. This paper summarizes the findings of four studies in periurban Arequipa: on determinants of disease-vector infestation; on prevalence, spatial patterns, and risk factors of Chagas; on links between migration, settlement patterns, and disease-vector infestation; and on the relationship between discordant test results and spatially clustered transmission hotspots. These studies identified two risk factors associated with the disease: population dynamics and the urbanization of poverty. Understanding the disease within this new urban context will allow for improved public health prevention efforts and policy initiatives. Discovered in 1909 by Brazilian physician Carlos Chagas, American Human Trypanosomiasis is a chronic and potentially life-threatening illness found throughout Latin America (Moncayo, 2003). Indeed, it is estimated that there are between 8 and 11 million cases in Mexico and Central and South America (Centers for Disease Control [CDC], 2009). Chagas disease, as it is most commonly known, is endemic in southern Peru, especially in the region of Arequipa. Once thought to be limited to poor, rural areas, the disease is now appearing in the periurban communities that surround Arequipa City, the capital of the region (Cornejo del Carpio, 2003). Understanding the urbanization of Chagas disease will allow public health and medical professionals to better combat the further transmission of the disease. After providing an overview of Chagas and introducing the scope of the disease in Latin America, this paper will summarize the findings of four recent studies conducted in periurban districts in Arequipa. Ultimately, this paper seeks to identify the risk factors associated with Chagas infection in Arequipa’s periurban communities
Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context
Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts
Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas
Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images
of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL
maps are derived through computational staining using a convolutional neural network trained to
classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and
correlation with overall survival. TIL map structural patterns were grouped using standard
histopathological parameters. These patterns are enriched in particular T cell subpopulations
derived from molecular measures. TIL densities and spatial structure were differentially enriched
among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial
infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic
patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for
the TCGA image archives with insights into the tumor-immune microenvironment
Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas
This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing
molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin
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