20 research outputs found

    Nosocomial infections: knowledge and source of information among clinical health care students in Ghana

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    Ajediran I Bello1, Eunice N Asiedu1, Babatunde OA Adegoke2, Jonathan NA Quartey1, Kwadwo O Appiah-Kubi1, Bertha Owusu-Ansah11Department of Physiotherapy, School of Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana; 2Department of Physiotherapy, College of Medicine, University of Ibadan, Ibadan, NigeriaBackground: This study determined and compared the knowledge of nosocomial infections among clinical health care students at the College of Health Sciences, University of Ghana.Methods: Two hundred undergraduate health care students from four academic programs participated in the study. The study sample was drawn from each academic program by a simple random sampling technique using the class directory from each course. The Infection Control Standardized Questionnaire (ICSQ) was used to assess the knowledge of students about three main domains, ie, hand hygiene, nosocomial infections, and standard precautions. A maximum score of 50 was obtainable, and respondents with scores ≥70% were classified as having a satisfactory knowledge. The response on each item was coded numerically to generate data for statistical analysis. Comparison of knowledge on the domains among categories of students was assessed using the Kruskal–Wallis test, while associations between courses of study and knowledge about nosocomial infections were determined using the Chi-square test. All statistical tests had a significant level of 5% (P < 0.05)Results: Overall mean percentage score of the participants on ICSQ was 65.4 ± 2.58, with medical, physiotherapy, radiography, and nursing students recording mean percentage scores of 70.58 ± 0.62, 65.02 ± 2.00, 64.74 ± 1.19, and 61.31 ± 2.35, respectively. The main source of information about the prevention of nosocomial infections as cited by participants was their routine formal training in class. There was no significant association (P > 0.05) between course of study and knowledge of students about preventive measures for nosocomial infections.Conclusion: The students sampled demonstrated moderate knowledge of nosocomial infections and this was acquired largely through formal classroom training. These findings underscore the need for more emphasis on education about this important source of infection in the clinical training curriculum.Keywords: knowledge, prevention, nosocomial infection

    Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

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    While gene expression profling has traditionally been the method of choice for large-scale perturbational profling studies, proteomics has emerged as an efective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profling, GCP). Here, we expand our original dataset to include profles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe fltering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of “connectivity” to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics

    A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations

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    Although the value of proteomics has been demonstrated, cost and scale are typically prohibitive, and gene expression profiling remains dominant for characterizing cellular responses to perturbations. However, high-throughput sentinel assays provide an opportunity for proteomics to contribute at a meaningful scale. We present a systematic library resource (90 drugs × 6 cell lines) of proteomic signatures that measure changes in the reduced-representation phosphoproteome (P100) and changes in epigenetic marks on histones (GCP). A majority of these drugs elicited reproducible signatures, but notable cell line- and assay-specific differences were observed. Using the “connectivity” framework, we compared signatures across cell types and integrated data across assays, including a transcriptional assay (L1000). Consistent connectivity among cell types revealed cellular responses that transcended lineage, and consistent connectivity among assays revealed unexpected associations between drugs. We further leveraged the resource against public data to formulate hypotheses for treatment of multiple myeloma and acute lymphocytic leukemia. This resource is publicly available at https://clue.io/proteomics. A large compendium of cellular responses to drugs as profiled through proteomic assays of phosphosignaling and histone modifications reveals cellular responses that transcend lineage, discovers unexpected associations between drugs, and recognizes therapeutic hypotheses for treatment of multiple myeloma and acute lymphocytic leukemia. Keywords: mass spectrometry; proteomics; drug discovery; signaling; epigenetics; mechanism of action; LINCS project; GCP; P100; L1000NIH Common Fund's Library of Integrated Network-based Cellular Signatures (LINCS) program (Grant U54HG008097)NIH Common Fund's Library of Integrated Network-based Cellular Signatures (LINCS) program (Grant U54HG008699
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