Identification and distribution of ectotrophic root-infecting fungi within an ultradwarf bermudagrass putting green and fungicide efficacy associated with these fungi

This research addressed the identification and distribution of selected ERI fungi within two greens at Mississippi State University Golf Institute using novel molecular methods, spatial relationships of fungal distribution and turf health assessments, and fungal sensitivity to selected fungicides. A complex of ERI fungi was identified in both greens. Gaeumannomyces graminis, Gaeumannomyces sp., and Candidacolonium cynodontis were randomly distributed based on spatial autocorrelation in both green samplings, while Magnaporthiopsis cynodontis clustered in Green 2 for both samplings and in Green 12 of the 2018 sampling. Clustering of turf health values was variable by month in each green, and no spatial relationship was determined between turf health values and fungal presence. Five ERI fungal isolates were exposed to four fungicide classes with relative growth present at 100 ppm. The EC50 values for the selected fungi ranged from 2.33 to \u3e100 ppm and suggests a lack of sensitivity to the selected fungicides

Community-Based Participatory Research at Jacksonville, Florida Superfund Ash Site: Toxicology Training to Improve the Knowledge of the Lay Community

Until the late 1960’s, Jacksonville, Florida incinerated its solid waste with the resultant ash deposited in landfills or used to fill flood-prone areas. These filled areas were later developed into parks, school sites and residential areas. Lead in soil at these sites was the major toxicant of concern and driver of clean-up actions. During the period of assessment of lead-levels in soil, there were no established lines of communication between the City and residents of affected neighborhoods resulting in mistrust in the community. To address communication issues, a community-based, culturally sensitive Community Environmental Toxicology Curriculum (CETC) and a short video were developed for community stakeholders to inform them of risks, health effects, remediation processes and preventive measures. Pre-and post-tests were developed to measure knowledge gained from the toxicology training. Learning gains averaged 47% and 24% for the community leaders and residents respectively. Most participants strongly agreed that the community toxicology curriculum was a useful tool for promoting awareness of environmental risks in their community and addressing the gap in trust between residents and agencies involved in site remediation

Obesity, but not hypohydration, mediates changes in mental task load during passive heating in females

Background The independent effects of hypohydration and hyperthermia on cognition and mood is unclear since the two stresses often confound each other. Further, it is unknown if obese individuals have the same impairments during hyperthermia and hypohydration that is often observed in non-obese individuals. Methods The current study was designed to assess the independent and combined effects of mild hypohydration and hyperthermia on cognition, mood, and mental task load in obese and non-obese females. Twenty-one healthy females participated in two passive heating trials, wherein they were either euhydrated or hypohydrated prior to and throughout passive heating. Cognition (ImPACT), mental task load (NASA-TLX), and mood (Brunel Mood Scale; BRUMS) were measured before and after a 1.0 °C increase in core temperature (TC). Results After a 1.0 °C TC elevation, hypohydration resulted in greater (p  0.05). Hyperthermia, regardless of hydration status, impaired (∼5 A.U) measures of memory-based cognition (verbal and visual memory), and increased mental task load, while worsening mood (p  0.05). Conclusion These data indicate that hyperthermia independently impairs memory-based aspects of cognitive performance, mental task load, and leads to a negative mood state. Mild hypohydration did not exacerbate the effects of hyperthermia. However, obese individuals had increased mental task load during hyperthermia

Investigating the impact of a clinical pharmacist on the health outcomes of a paediatric pharmacists

Background: Recent fiscal scrutiny and changes in health care financing have necessitated that health care providers justify a clinical and economical basis for their involvement in patient care. Although clinical pharmacists have been shown to enhance patient health outcomes and reduce costs among adult patients, the impact of a pharmacist in paediatric patient care has not been extensively documented. Method: A team of pharmacists was established to conduct a systematic review of the literature. A title scan of papers in 5 databases was performed by 14 pharmacists using the MeSH terms Pharmacists, Medical Intervention, Paediatrics and Cost-Benefit Analysis. The underpinning research question was: "How do the professional activities of a clinical pharmacist impact the health outcomes of paediatric in-patients?" The abstracts of suitable titles were scanned and articles were read to assess relevance. Relevant articles were then evaluated independently by at least two members of the team, using critical appraisal tools suitable for quantitative, qualitative or systematic review studies. Results: The initial search identified 327 citations which after full text review and application of the scoring tool, resulted in 12 studies included in the systematic review. The average number of interventions reported varied from study to study. Dosing recommendations, pharmacokinetics and drug allergy alerts were the most commonly recorded interventions by pharmacists for a paediatric population. Evidence from this review will be used to formulate improvements to in-patient paediatric care. Conclusion: Clinical pharmacists have a positive impact on inpatient paediatric care

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

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

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

Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium

The International Pseudomonas aeruginosa Consortium is sequencing over 1000 genomes and building an analysis pipeline for the study of Pseudomonas genome evolution, antibiotic resistance and virulence genes. Metadata, including genomic and phenotypic data for each isolate of the collection, are available through the International Pseudomonas Consortium Database (http://ipcd.ibis.ulaval.ca/). Here, we present our strategy and the results that emerged from the analysis of the first 389 genomes. With as yet unmatched resolution, our results confirm that P. aeruginosa strains can be divided into three major groups that are further divided into subgroups, some not previously reported in the literature. We also provide the first snapshot of P. aeruginosa strain diversity with respect to antibiotic resistance. Our approach will allow us to draw potential links between environmental strains and those implicated in human and animal infections, understand how patients become infected and how the infection evolves over time as well as identify prognostic markers for better evidence-based decisions on patient care

Strong Carbon Features and a Red Early Color in the Underluminous Type Ia SN 2022xkq

We present optical, infrared, ultraviolet, and radio observations of SN 2022xkq, an underluminous fast-declining type Ia supernova (SN Ia) in NGC 1784 ($\mathrm{D}\approx31$ Mpc), from $<1$ to 180 days after explosion. The high-cadence observations of SN 2022xkq, a photometrically transitional and spectroscopically 91bg-like SN Ia, cover the first days and weeks following explosion which are critical to distinguishing between explosion scenarios. The early light curve of SN 2022xkq has a red early color and exhibits a flux excess which is more prominent in redder bands; this is the first time such a feature has been seen in a transitional/91bg-like SN Ia. We also present 92 optical and 19 near-infrared (NIR) spectra, beginning 0.4 days after explosion in the optical and 2.6 days after explosion in the NIR. SN 2022xkq exhibits a long-lived C I 1.0693 $\mu$m feature which persists until 5 days post-maximum. We also detect C II $\lambda$6580 in the pre-maximum optical spectra. These lines are evidence for unburnt carbon that is difficult to reconcile with the double detonation of a sub-Chandrasekhar mass white dwarf. No existing explosion model can fully explain the photometric and spectroscopic dataset of SN 2022xkq, but the considerable breadth of the observations is ideal for furthering our understanding of the processes which produce faint SNe Ia.Comment: 38 pages, 16 figures, accepted for publication in ApJ, the figure 15 input models and synthetic spectra are now available at https://zenodo.org/record/837925