Identification of Antifungal H+-ATPase Inhibitors with Effect on Plasma Membrane Potential.

The plasma membrane H+-ATPase (Pma1) is an essential fungal protein and a proposed target for new antifungal medications. The compounds in a small-molecule library containing ∼191,000 commercially available compounds were screened for their ability to inhibit Saccharomyces cerevisiae plasma membranes containing Pma1. The overall hit rate was 0.2%, corresponding to 407 compounds. These hit compounds were further evaluated for ATPase selectivity and broad-spectrum antifungal activity. Following this work, one Pma1 inhibitor series based on compound 14 and analogs was selected for further evaluation. This compound series was able to depolarize the membrane and inhibit extracellular acidification in intact fungal cells concomitantly with a significant increase in intracellular ATP levels. Collectively, we suggest that these effects may be a common feature of Pma1 inhibitors. Additionally, the work uncovered a dual mechanism for the previously identified cationic peptide BM2, revealing fungal membrane disruption, in addition to Pma1 inhibition. The methods presented here provide a solid platform for the evaluation of Pma1-specific inhibitors in a drug development setting. The present inhibitors could serve as a starting point for the development of new antifungal agents with a novel mode of action.

Military nurse deployments: Similarities, differences, and resulting issues.

BACKGROUND: Military nurses have a long history of deploying to combat and disaster. Much can be gleaned from their experiences. PURPOSE: The purpose of this secondary analysis was to explore military nurses' perceptions of similarities, differences, and resulting issues of military deployments from narratives of three previous studies. METHODS: Secondary analysis of interviews from 65 U.S. military nurses (Air Force, Army, Navy) was conducted. Line-by-line readings and Nvivo8 qualitative software were used. DISCUSSION: Seven themes emerged. Similarities: We Have Suffered, Support Really Matters, The Chaos Is Real, and I'm a Different Person Now; Differences: We Didn't Know, The Structure Is Missing, and Disasters and War Are Not Equal. CONCLUSION: Findings indicated potential areas for improvement in behavioral health, support, and preparedness. Nurses noted they had changed; that they were a different person, and were having difficulty fitting into postdeployment roles. Positive experiences included personal growth and pride.

Selective killing of candidate AML stem cells by antibody targeting of IL1RAP.

IL1RAP, a co-receptor for interleukin (IL)-1 and IL-33 receptors, was previously found to be highly upregulated on candidate chronic myeloid leukemia stem cells, allowing for leukemia-selective killing using IL1RAP-targeting antibodies. We analyzed IL1RAP expression in a consecutive series of 29 patients with acute myeloid leukemia (AML) and, based on the level of expression in mononuclear cells (MNCs), we divided the samples into 3 groups: IL1RAP low (n = 6), IL1RAP intermediate (n = 11), and IL1RAP high (n = 12). Within the CD34+CD38- population, the intermediate and high groups expressed higher levels of IL1RAP than did corresponding normal cells. With the aim to target AML stem cells, an anti-IL1RAP monoclonal antibody was generated followed by isotype switching for improved antibody-dependent, cell-mediated cytotoxicity activity. Using this antibody, we achieved selective killing of AML MNC, CD34+CD38+, and CD34+CD38- cells. Our findings demonstrate that IL1RAP is a promising new therapeutic target in AML.

U.S. Army nurses' reintegration and homecoming experiences after Iraq and Afghanistan.

OBJECTIVE: The aim of this study was to understand U.S. Army nurses' reintegration and homecoming experiences after deployment to Iraq or Afghanistan. METHOD: Employing existential phenomenology and purposive sampling, 22 U.S. Army active duty nurses were recruited from two military posts and participated in single digitally recorded interviews. RESULTS: Five themes emerged: (1) aspects of command support were articulated as "No one cares"; (2) fulfilling requirements for attendance at pre/postdeployment briefings were described as merely "check the blocks"; (3) readjustments from focusing strictly on duty requirements versus multitasking, such as family responsibilities and daily living, led to the "Stress of being home"; (4) nurses stated "They don't understand" when referring to anyone without deployment experience (family, friends, other soldiers); and (5) when referencing deployment experiences, nurses emphasized that, "It just changes you." DISCUSSION: Nurses in this study felt that the current reintegration process was not meeting their needs for a smoother homecoming; new or improved interventions to assist redeploying nurses with the transition to a noncombat environment would be beneficial. Educational programs to help nursing supervisors provide optimal leadership support through all phases of deployment are needed.

Standardized assays to monitor drug sensitivity in hematologic cancers.

The principle of drug sensitivity testing is to expose cancer cells to a library of different drugs and measure its effects on cell viability. Recent technological advances, continuous approval of targeted therapies, and improved cell culture protocols have enhanced the precision and clinical relevance of such screens. Indeed, drug sensitivity testing has proven diagnostically valuable for patients with advanced hematologic cancers. However, different cell types behave differently in culture and therefore require optimized drug screening protocols to ensure that their ex vivo drug sensitivity accurately reflects in vivo drug responses. For example, primary chronic lymphocytic leukemia (CLL) and multiple myeloma (MM) cells require unique microenvironmental stimuli to survive in culture, while this is less the case for acute myeloid leukemia (AML) cells. Here, we present our optimized and validated protocols for culturing and drug screening of primary cells from AML, CLL, and MM patients, and a generic protocol for cell line models. We also discuss drug library designs, reproducibility, and quality controls. We envision that these protocols may serve as community guidelines for the use and interpretation of assays to monitor drug sensitivity in hematologic cancers and thus contribute to standardization. The read-outs may provide insight into tumor biology, identify or confirm treatment resistance and sensitivity in real time, and ultimately guide clinical decision-making.

Dissecting the impact of environment, season and genotype on blackcurrant fruit quality traits.

This work aims to determine the effect of genotype x environment (GxE) interaction that influence blackcurrant (Ribes nigrum) fruit quality. We applied metabolomics-driven analysis on fruits from four cultivars grown in contrasting European-locations over two seasons. By integrating metabolomics and sensory analysis, we also defined specific metabolic signatures associated with consumer acceptance. Our results showed that rainfall is a crucial factor associated with accumulation of delphinidin- and cyanidin-3-O-glucoside, the two mayor blackcurrant pigments meanwhile temperature affects the main organic acid levels which can be decisive for fruit taste. Sensorial analysis showed that increases in terpenoid and acetate ester volatiles were strongly associated with higher appreciation score, while proacacipetalin, a cyanogenic-glycoside, was positively associated to bitter taste. Our results pave the way for the selection of high-quality cultivars and suitable production sites for blackcurrant cultivation.

Trends in skin cancer knowledge, sun protection practices and behaviours in the Northern Ireland population.

BACKGROUND: Sun exposure increases risk of skin cancer, especially melanoma, incidence of which continues to rise. Reported skin cancer knowledge and trends in sun care behaviours are documented in a UK region where there has been 20 years of sun-related health promotion campaigns. METHODS: In 2000, 2004 and 2008, a 'care in the sun' module was included in the Northern Ireland (NI) Omnibus survey. Randomly selected subjects were asked to complete a sun-related questionnaire and proportions of respondents analysed by demographic and socio-economic factors, with differences tested using z-tests and the chi-squared test. RESULTS: Around 3623 persons responded. Skin cancer knowledge was high (97%). Sun avoidance decreased with time and was lowest among younger age groups and males. Sunscreen use was high (70%), unchanged over 8 years, and more likely among younger age groups, females, those in paid employment, and those with tertiary level education. Use of sunscreen with minimum Sun Protection Factor (SPF) 15 (a campaign message) increased from 45% to 70% (P < 0.01). Skin self-examination was infrequent (8%), less common among those aged ≥65 years, males and those with only primary or secondary level education. CONCLUSIONS: Messages on sunscreen use have penetrated the population well, but lower use among the unemployed suggests cost as an issue. Lack of sun avoidance in young people, especially men, poses a risk for further skin cancer increases. Low levels of reported skin self-examination in older people, men and those with lower educational attainment identify areas for further action.

Comprehensive and unbiased multiparameter high-throughput screening by compaRe finds effective and subtle drug responses in AML models.

Large-scale multiparameter screening has become increasingly feasible and straightforward to perform thanks to developments in technologies such as high-content microscopy and high-throughput flow cytometry. The automated toolkits for analyzing similarities and differences between large numbers of tested conditions have not kept pace with these technological developments. Thus, effective analysis of multiparameter screening datasets becomes a bottleneck and a limiting factor in unbiased interpretation of results. Here we introduce compaRe, a toolkit for large-scale multiparameter data analysis, which integrates quality control, data bias correction, and data visualization methods with a mass-aware gridding algorithm-based similarity analysis providing a much faster and more robust analyses than existing methods. Using mass and flow cytometry data from acute myeloid leukemia and myelodysplastic syndrome patients, we show that compaRe can reveal interpatient heterogeneity and recognizable phenotypic profiles. By applying compaRe to high-throughput flow cytometry drug response data in AML models, we robustly identified multiple types of both deep and subtle phenotypic response patterns, highlighting how this analysis could be used for therapeutic discoveries. In conclusion, compaRe is a toolkit that uniquely allows for automated, rapid, and precise comparisons of large-scale multiparameter datasets, including high-throughput screens.

Biology has seen huge advances in technology in recent years. This has led to state-of-the-art techniques which can test hundreds of conditions simultaneously, such as how cancer cells respond to different drugs. In addition to this, each of the tens of thousands of cells studied can be screened for multiple variables, such as certain proteins or genes. This generates massive datasets with large numbers of parameters, which researchers can use to find similarities and differences between the tested conditions. Analyzing these 'high-throughput' experiments, however, is no easy task, as the data is often contaminated with meaningless information, or 'background noise', as well as sources of bias, such as non-biological variations between experiments. As a result, most analysis methods can only probe one parameter at a time, or are unautomated and require manual interpretation of the data. Here, Chalabi Hajkarim et al. have developed a new toolkit that can analyze multiparameter datasets faster and more robustly than current methods. The kit, which was named 'compaRe', combines a range of computational tools that automatically 'clean' the data of background noise or bias: the different conditions are then compared and any similarities are visually displayed using a graphical interface that is easy to explore. Chalabi Hajkarim et al. used their new method to study data from patients with acute myeloid leukemia (AML) and myelodysplastic syndrome, two forms of cancer that disrupt the production of functional immune cells. The toolkit was able to identify subtle differences between the patients and categorize them into groups based on the proteins present on immune cells. Chalabi Hajkarim et al. also applied compaRe to high-throughput data on cells from patients and mouse models with AML that had been treated with large numbers of specific drugs. This revealed that different cell types in the samples responded to the treatments in distinct ways. These findings suggest that the toolkit created by Chalabi Hajkarim et al. can automatically, rapidly and precisely compare large multiparameter datasets collected using high-throughput screens. In the future, compaRe could be used to identify drugs that illicit a specific response, or to predict how newly developed treatments impact different cell types in the body.

H3K9 dimethylation safeguards cancer cells against activation of the interferon pathway.

Activation of interferon genes constitutes an important anticancer pathway able to restrict proliferation of cancer cells. Here, we demonstrate that the H3K9me3 histone methyltransferase (HMT) suppressor of variegation 3-9 homolog 1 (SUV39H1) is required for the proliferation of acute myeloid leukemia (AML) and find that its loss leads to activation of the interferon pathway. Mechanistically, we show that this occurs via destabilization of a complex composed of SUV39H1 and the two H3K9me2 HMTs, G9A and GLP. Indeed, loss of H3K9me2 correlated with the activation of key interferon pathway genes, and interference with the activities of G9A/GLP largely phenocopied loss of SUV39H1. Last, we demonstrate that inhibition of G9A/GLP synergized with DNA demethylating agents and that SUV39H1 constitutes a potential biomarker for the response to hypomethylation treatment. Collectively, we uncovered a clinically relevant role for H3K9me2 in safeguarding cancer cells against activation of the interferon pathway.

Candidate genes associated with bud dormancy release in blackcurrant (Ribes nigrum L.).

BACKGROUND: The detrimental effects of mild winter temperatures on the consistency of cropping of blackcurrant (Ribes nigrum L.) in parts of Europe have led to increasing interest in the genetic control of dormancy release in this species. This study examined patterns of gene expression in leaf buds of blackcurrant to identify key differential changes in these profiles around the time of budbreak. RESULTS: Using leaf bud tissue of blackcurrant, a cDNA library was generated as a source of blackcurrant ESTs for construction of a custom microarray, which was used to identify differential gene expression during dormancy release. Gene activity was lowest in early stages of dormancy, increasing to reach a maximum around the time of budbreak. Genes with significantly changing expression profiles were clustered and evidence is provided for the transient activity of genes previously associated with dormancy processes in other species. Expression profiling identified candidate genes which were mapped onto a blackcurrant genetic linkage map containing budbreak-related QTL. Three genes, which putatively encode calmodulin-binding protein, beta tubulin and acetyl CoA carboxylase respectively, were found to co-localise with budbreak QTL. CONCLUSIONS: This study provides insight into the genetic control of dormancy transition in blackcurrant, identifying key changes in gene expression around budbreak. Genetic mapping of ESTs enabled the identification of genes which co-localise with previously-characterised blackcurrant QTL, and it is concluded that these genes have probable roles in release of dormancy and can therefore provide a basis for the development of genetic markers for future breeding deployment.

Treating and precepting with RESPECT: a relational model addressing race, ethnicity, and culture in medical training.

BACKGROUND: In 2000 a diverse group of clinicians/educators at an inner-city safety-net hospital identified relational skills to reduce disparities at the point of care. DESCRIPTION: The resulting interviewing and precepting model helps build trust with patients as well as with learners. RESPECT adds attention to the relational dimension, addressing documented disparities in respect, empathy, power-sharing, and trust while incorporating prior cross-cultural models. Specific behavioral descriptions for each component make RESPECT a concrete, practical, integrated model for teaching patient care. CONCLUSIONS: Precepting with RESPECT fosters a safe climate for residents to partner with faculty, address challenges with patients at risk, and improve outcomes.

International nurse migration: U-turn for safe workplace transition.

Increasing globalization of the nursing workforce and the desire for migrants to realize their full potential in their host country is an important public policy and management issue. Several studies have examined the challenges migrant nurses face as they seek licensure and access to international work. However, fewer studies examine the barriers and challenges internationally educated nurses (IEN) experience transitioning into the workforces after they achieve initial registration in their adopted country. In this article, the authors report findings from an empirically grounded study that examines the experience of IENs who entered Ontario's workforce between 2003 and 2005. We found that migrant nurses unanimously described nursing as 'different' from that in their country of origin. Specifically, IENs reported differences in the expectations of professional nursing practice and the role of patients and families in decision-making. In addition, problems with English language fluency cause work-related stress and cognitive fatigue. Finally, the experience of being the outsider is a reality for many IENs. This study provides important insights as policy and management decision-makers balance the tension between increasing the IEN workforce and the delivery of safe patient care.

Inhibition of PHF-like tau hyperphosphorylation in SH-SY5Y cells and rat brain slices by K252a.

Abnormal hyperphosphorylation of tau is believed to constitute a critical biochemical event in the process of neurofibrillary degeneration of Alzheimer's disease. We have developed a cellular model where apparently authentic PHF-like tau hyperphosphorylation is induced by okadaic acid. To gain deeper insight into the complex mechanisms of this pathological process we tested a variety of kinase inhibitors in this model. We found that K252a is differentiated from staurosporine by its inhibition of ERK2: both compounds are structurally related microbial metabolites generally believed to have only moderate kinase selectivity. However, since ERK2 inhibitors are exceedingly rare, we used this differential inhibitory property of K252a to demonstrate the involvement of ERK2 in PHF-type tau hyperphosphorylation. K252a was uniquely able to completely suppress the okadaic acid-induced tau hyperphosphorylation in SH-SY5Y cells and rat brain slices by way of including ERK2 in its inhibitory spectrum, and to conserve the normal binding of tau to tubulin. GSK3 inhibitors partially affected the normal state of tau phosphorylation in SH-SY5Y cells, but had no impact on okadaic acid-induced tau hyperhosphorylation. As K252a is the first molecule identified capable of preventing the spectrum of PHF-like tau hyperphosphorylation markers, it may represent a conceptual starting point for therapeutic development of suitable spectrum kinase inhibitors.

New scaffolds for the design of selective estrogen receptor modulators.

In the present work we report the synthesis of four new ER ligands which can be used as scaffolds for the introduction of the basic side chains necessary for antiestrogenic activity. Affinities and agonist/antagonist characterization of the ligands for both ERalpha and ERbeta have been determined in a competitive radioligand assay, and in an in vitro coactivator recruitment functional assay, respectively. Molecular modelling techniques have been used in order to rationalize the experimental results. Compound is reported as a novel ERbeta-agonist/ERalpha-antagonist. Two compounds show an interesting antitumour profile towards two pancreatic cancer cell lines and have been selected for in vivo assays.

A Transcript and Metabolite Atlas of Blackcurrant Fruit Development Highlights Hormonal Regulation and Reveals the Role of Key Transcription Factors.

Blackcurrant fruit collected at six stages of development were assessed for changes in gene expression using custom whole transcriptome microarrays and for variation in metabolite content using a combination of liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry. Principal components analysis demonstrated that fruit development could be clearly defined according to their transcript or metabolite profiles. During early developmental stages, metabolite profiles were dominated by amino acids and tannins, whilst transcript profiles were enriched in functions associated with cell division, anatomical structure morphogenesis and cell wall metabolism. During mid fruit development, fatty acids accumulated and transcript profiles were consistent with seed and embryo development. At the later stages, sugars and anthocyanins accumulated consistent with transcript profiles that were associated with secondary metabolism. Transcript data also indicated active signaling during later stages of fruit development. A targeted analysis of signaling networks revealed a dynamic activation and repression of almost 60 different transcripts encoding transcription factors across the course of fruit development, many of which have been demonstrated as pivotal to controlling such processes in other species. Transcripts associated with cytokinin and gibberellin were highly abundant at early fruit development, whilst those associated with ABA and ethylene tended to be more abundant at later stages. The data presented here provides an insight into fruit development in blackcurrant and provides a foundation for further work in the elucidation of the genetic basis of fruit quality.

Tetrahydrocarbazoles are a novel class of potent P-type ATPase inhibitors with antifungal activity.

We have identified a series of tetrahydrocarbazoles as novel P-type ATPase inhibitors. Using a set of rationally designed analogues, we have analyzed their structure-activity relationship using functional assays, crystallographic data and computational modeling. We found that tetrahydrocarbazoles inhibit adenosine triphosphate (ATP) hydrolysis of the fungal H+-ATPase, depolarize the fungal plasma membrane and exhibit broad-spectrum antifungal activity. Comparative inhibition studies indicate that many tetrahydrocarbazoles also inhibit the mammalian Ca2+-ATPase (SERCA) and Na+,K+-ATPase with an even higher potency than Pma1. We have located the binding site for this compound class by crystallographic structure determination of a SERCA-tetrahydrocarbazole complex to 3.0 Å resolution, finding that the compound binds to a region above the ion inlet channel of the ATPase. A homology model of the Candida albicans H+-ATPase based on this crystal structure, indicates that the compounds could bind to the same pocket and identifies pocket extensions that could be exploited for selectivity enhancement. The results of this study will aid further optimization towards selective H+-ATPase inhibitors as a new class of antifungal agents.

Understanding Post-Deployment Reintegration Concerns Among En Route Care Nurses: A Mixed-Methods Approach.

The objective of this study was to better understand the post-deployment behavior health symptoms and readjustment/reintegration experienced by military nurses who provided en route care while serving in Operation Enduring Freedom/Operation Iraqi Freedom. Employing an exploratory, concurrent, mixed-methods design with an electronic survey consisting of several valid instruments and single, face-to-face interviews; data were gathered from 119 surveys and 22 interviews. Four qualitative themes aligned with the Post-Deployment Readjustment Inventory items. Findings from interviews support and illuminate the outcomes of the Post-Deployment Readjustment Inventory. Behavioral health usage was high in the quantitative sample. Nearly 74% (n = 88) of respondents indicating they had used Military Behavioral Health services following deployment. Statistically significant differences were noted among all subscales except Intimate Relationship Problems. Combined results indicated en route care nurses encountered difficulties when attempting to return to predeployment roles; behavioral health problems mirrored those of combat warriors. Interventions to assist post-deployment reintegration of en route care nurses should be conducted at the peer, leader, and health care provider levels. Embedding military mental health providers into en route care units is needed. It is imperative to gather lessons learned and identify ways to improve preparation for future conflicts and behavioral health of en route care nurses.