Physicians’ and Pharmacists’ Experience and Expectations of the Roles of Pharmacists: Insights into Hospital Setting in Macau

Purpose: To investigate physicians’ and pharmacists’ experience and expectations of the roles of pharmacists in hospital setting in Macau for the development of physician-pharmacist collaborative working relationship (CWR).Methods: A survey was conducted to address the research questions. The study population included the physicians and pharmacists working in hospitals in Macau. A self-administered survey was designed correspondingly to physicians and pharmacists with same series of questions, which composed of 4 parts: demographics, collaboration status, roles of pharmacist based on experience, and roles of pharmacist based on expectations.Results: Sixty six out of the 120 physician surveys and 18 out of the 30 pharmacist surveys were returned, giving a response rate of 55.00% and 60.00% respectively. 33.33% of physicians and 77.8% of pharmacists claimed they collaborated with the other professional at least once a week. The main reason for collaboration was prescription order queries. Both professionals indicated that “medication dispensing” and “identification and prevention of prescription errors” were currently the top responsibilities of pharmacists. It was anticipated by the physicians that pharmacists would remain focused on “medication dispensing” but should put in more effort. Pharmacists, on the other hand, would like to develop their role in direct patient care such as “patient counseling”.Conslusion: There were discrepancies in physicians’ and pharmacists’ expectations of the roles of pharmacists. The 6 most important responsibilities of pharmacists were determined in consultation with physicians’ opinions. Capacity building of pharmacists, communication between the two professionals and administrative co-ordinations were considered important elements in developing CWR.Keywords: Physician-pharmacist relationship, Pharmacist roles, Collaboration, Expectations

PERUBAHAN RETENSI AIR PADA ZONE PERAKARAN TANAMAN JAGUNG AKIBAT APLIKASI BAHAN ORGANIK ECENG GONDOK (EICHORNIA CRASSIPES)

Management system implemented aimed to preventing land degradation and improve water availability in the rooting zone of Zea mays plantation. Increased availability of high water as inplikasi ability of organic matter in binding water. The research method using field experiments with Completely Random Design with five levels, ie, P0 = without Eichornia crassipess organic matter or control, P1 = 3 ton.ha-1 E. crassipess organic matter, P2 = 6 ton.ha-1 E. crassipess organic matter, P3 = 9 ton.ha-1 E. crassipess organic matter, and P4 = 12 ton.ha-1 E. crassipess organic matter. The results obtained showed that the treatment of E. crassipess organic matter 12 ton ha-1 can increase water retention at pF pF 1.00 and 2.00 times respectively at 1.19 and 1.17 times larger compared with the untreated organic matter (P0). Key words: E. crassipess, water retention, Zea may

Regulators Associated with Clinical Outcomes Revealed by Dna Methylation Data in Breast Cancer

The regulatory architecture of breast cancer is extraordinarily complex and gene misregulation can occur at many levels, with transcriptional malfunction being a major cause. This dysfunctional process typically involves additional regulatory modulators including DNA methylation. Thus, the interplay between transcription factor (TF) binding and DNA methylation are two components of a cancer regulatory interactome presumed to display correlated signals. As proof of concept, we performed a systematic motif-based in silico analysis to infer all potential TFs that are involved in breast cancer prognosis through an association with DNA methylation changes. Using breast cancer DNA methylation and clinical data derived from The Cancer Genome Atlas (TCGA), we carried out a systematic inference of TFs whose misregulation underlie different clinical subtypes of breast cancer. Our analysis identified TFs known to be associated with clinical outcomes of p53 and ER (estrogen receptor) subtypes of breast cancer, while also predicting new TFs that may also be involved. Furthermore, our results suggest that misregulation in breast cancer can be caused by the binding of alternative factors to the binding sites of TFs whose activity has been ablated. Overall, this study provides a comprehensive analysis that links DNA methylation to TF binding to patient prognosis

Coexistence of charge density wave and spin-Peierls orders in quarter-filled quasi-one dimensional correlated electron systems

Charge and spin-Peierls instabilities in quarter-filled (n=1/2) compounds consisting of coupled ladders and/or zig-zag chains are investigated. Hubbard and t-J models including local Holstein and/or Peierls couplings to the lattice are studied by numerical techniques. Next nearest neighbor hopping and magnetic exchange, and short-range Coulomb interactions are also considered. We show that, generically, these systems undergo instabilities towards the formation of Charge Density Waves, Bond Order Waves and (generalized) spin-Peierls modulated structures. Moderate electron-electron and electron-lattice couplings can lead to a coexistence of these three types of orders. In the ladder, a zig-zag pattern is stabilized by the Holstein coupling and the nearest-neighbor Coulomb repulsion. In the case of an isolated chain, bond-centered and site-centered 2k_F and 4k_F modulations are induced by the local Holstein coupling. In addition, we show that, in contrast to the ladders, a small charge ordering in the chains, strongly enhances the spin-Peierls instability. Our results are applied to the NaV_2O_5 compound (trellis lattice) and various phases with coexisting charge disproportionation and spin-Peierls order are proposed and discussed in the context of recent experiments. The role of the long-range Coulomb potential is also outlined.Comment: 10 pages, Revtex, 10 encapsulated figure

Automated genome mining for natural products

Abstract Background Discovery of new medicinal agents from natural sources has largely been an adventitious process based on screening of plant and microbial extracts combined with bioassay-guided identification and natural product structure elucidation. Increasingly rapid and more cost-effective genome sequencing technologies coupled with advanced computational power have converged to transform this trend toward a more rational and predictive pursuit. Results We have developed a rapid method of scanning genome sequences for multiple polyketide, nonribosomal peptide, and mixed combination natural products with output in a text format that can be readily converted to two and three dimensional structures using conventional software. Our open-source and web-based program can assemble various small molecules composed of twenty standard amino acids and twenty two other chain-elongation intermediates used in nonribosomal peptide systems, and four acyl-CoA extender units incorporated into polyketides by reading a hidden Markov model of DNA. This process evaluates and selects the substrate specificities along the assembly line of nonribosomal synthetases and modular polyketide synthases. Conclusion Using this approach we have predicted the structures of natural products from a diverse range of bacteria based on a limited number of signature sequences. In accelerating direct DNA to metabolomic analysis, this method bridges the interface between chemists and biologists and enables rapid scanning for compounds with potential therapeutic value.http://deepblue.lib.umich.edu/bitstream/2027.42/112362/1/12859_2008_Article_2915.pd

Integrative Analysis of Survival-Associated Gene Sets in Breast Cancer

Patient gene expression information has recently become a clinical feature used to evaluate breast cancer prognosis. The emergence of prognostic gene sets that take advantage of these data has led to a rich library of information that can be used to characterize the molecular nature of a patient’s cancer. Identifying robust gene sets that are consistently predictive of a patient’s clinical outcome has become one of the main challenges in the field. We inputted our previously established BASE algorithm with patient gene expression data and gene sets from MSigDB to develop the gene set activity score (GSAS), a metric that quantitatively assesses a gene set’s activity level in a given patient. We utilized this metric, along with patient time-to-event data, to perform survival analyses to identify the gene sets that were significantly correlated with patient survival. We then performed cross-dataset analyses to identify robust prognostic gene sets and to classify patients by metastasis status. Additionally, we created a gene set network based on component gene overlap to explore the relationship between gene sets derived from MSigDB. We developed a novel gene set based on this network’s topology and applied the GSAS metric to characterize its role in patient survival

Regulation of Marginal Zone B-Cell Differentiation by MicroRNA-146a.

B-cell development in the bone marrow is followed by specification into functional subsets in the spleen, including marginal zone (MZ) B-cells. MZ B-cells are classically characterized by T-independent antigenic responses and require the elaboration of distinct gene expression programs for development. Given their role in gene regulation, it is not surprising that microRNAs are important factors in B-cell development. Recent work demonstrated that deficiency of the NFκB feedback regulator, miR-146a, led to a range of hematopoietic phenotypes, but B-cell phenotypes have not been extensively characterized. Here, we found that miR-146a-deficient mice demonstrate a reduction in MZ B-cells, likely from a developmental block. Utilizing high-throughput sequencing and comparative analysis of developmental stage-specific transcriptomes, we determined that MZ cell differentiation was impaired due to decreases in Notch2 signaling. Our studies reveal miR-146a-dependent B-cell phenotypes and highlight the complex role of miR-146a in the hematopoietic system

E2F4 Regulatory Program Predicts Patient Survival Prognosis in Breast Cancer

Genetic and molecular signatures have been incorporated into cancer prognosis prediction and treatment decisions with good success over the past decade. Clinically, these signatures are usually used in early-stage cancers to evaluate whether they require adjuvant therapy following surgical resection. A molecular signature that is prognostic across more clinical contexts would be a useful addition to current signatures. We defined a signature for the ubiquitous tissue factor, E2F4, based on its shared target genes in multiple tissues. These target genes were identified by chromatin immunoprecipitation sequencing (ChIP-seq) experiments using a probabilistic method. We then computationally calculated the regulatory activity score (RAS) of E2F4 in cancer tissues, and examined how E2F4 RAS correlates with patient survival