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https://www.readbyqxmd.com/read/28445615/status-epilepticus-in-dogs-and-cats-part-1-etiopathogenesis-epidemiology-and-diagnosis
#1
Susan Blades Golubovic, John H Rossmeisl
OBJECTIVE: To review current knowledge of the etiopathogenesis, diagnosis, and consequences of status epilepticus (SE) in veterinary patients. DATA SOURCES: Human and veterinary literature, including clinical and laboratory research and reviews. ETIOPATHOGENESIS: Status epilepticus is a common emergency in dogs and cats, and may be the first manifestation of a seizure disorder. It results from the failure of termination of an isolated seizure...
April 26, 2017: Journal of Veterinary Emergency and Critical Care
https://www.readbyqxmd.com/read/28443981/mapping-the-dengue-scientific-landscape-worldwide-a-bibliometric-and-network-analysis
#2
Fabio Batista Mota, Bruna de Paula Fonseca E Fonseca, Andréia Cristina Galina, Roseli Monteiro da Silva
BACKGROUND: Despite the current global trend of reduction in the morbidity and mortality of neglected diseases, dengue's incidence has increased and occurrence areas have expanded. Dengue also persists as a scientific and technological challenge since there is no effective treatment, vaccine, vector control or public health intervention. Combining bibliometrics and social network analysis methods can support the mapping of dengue research and development (R&D) activities worldwide. OBJECTIVES: The aim of this paper is to map the scientific scenario related to dengue research worldwide...
May 2017: Memórias do Instituto Oswaldo Cruz
https://www.readbyqxmd.com/read/28443472/mir-26a-downregulates-retinoblastoma-in-colorectal-cancer
#3
Eduardo López-Urrutia, Jossimar Coronel-Hernández, Verónica García-Castillo, Carlos Contreras-Romero, Antonio Martínez-Gutierrez, Diana Estrada-Galicia, Luis Ignacio Terrazas, César López-Camarillo, Hector Maldonado-Martínez, Nadia Jacobo-Herrera, Carlos Pérez-Plasencia
MicroRNAs are non-coding short RNAs that target the 3' untranslated region of messenger RNAs (mRNAs) and lead to their degradation or to translational repression. Several microRNAs have been designated as oncomirs, owing to their regulating tumor suppressor genes. Interestingly, a few of them have been found to target multiple genes whose simultaneous suppression contributes to the development of a tumoral phenotype. Here, we have showed that miR-26a is overexpressed in colorectal cancer data obtained from TCGA Research Network and in human colon cancer pathological specimens; moreover, an orthotopic in vivo model of colon cancer showed overexpression of miR-26a, while Rb1 expression inversely correlated to miR-26a in TCGA Research Network data, pathological samples, and the in vivo model...
April 2017: Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine
https://www.readbyqxmd.com/read/28443154/drug-induced-liver-injury-do-we-know-everything
#4
REVIEW
Tamara Alempijevic, Simon Zec, Tomica Milosavljevic
Interest in drug-induced liver injury (DILI) has dramatically increased over the past decade, and it has become a hot topic for clinicians, academics, pharmaceutical companies and regulatory bodies. By investigating the current state of the art, the latest scientific findings, controversies, and guidelines, this review will attempt to answer the question: Do we know everything? Since the first descriptions of hepatotoxicity over 70 years ago, more than 1000 drugs have been identified to date, however, much of our knowledge of diagnostic and pathophysiologic principles remains unchanged...
April 8, 2017: World Journal of Hepatology
https://www.readbyqxmd.com/read/28443105/identification-of-microrna-targets-of-capsicum-spp-using-mirtrans-a-trans-omics-approach
#5
Lu Zhang, Cheng Qin, Junpu Mei, Xiaocui Chen, Zhiming Wu, Xirong Luo, Jiaowen Cheng, Xiangqun Tang, Kailin Hu, Shuai C Li
The microRNA (miRNA) can regulate the transcripts that are involved in eukaryotic cell proliferation, differentiation, and metabolism. Especially for plants, our understanding of miRNA targets, is still limited. Early attempts of prediction on sequence alignments have been plagued by enormous false positives. It is helpful to improve target prediction specificity by incorporating the other data sources such as the dependency between miRNA and transcript expression or even cleaved transcripts by miRNA regulations, which are referred to as trans-omics data...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28442501/chlorokb-a-web-application-for-the-integration-of-knowledge-related-to-chloroplast-metabolic-network
#6
Pauline Gloaguen, Sylvain Bournais, Claude Alban, Stephane Ravanel, Daphne Seigneurin-Berny, Michel Matringe, Marianne Tardif, Marcel Kuntz, Myriam Ferro, Christophe Bruley, Norbert Rolland, Yves Vandenbrouck, Gilles Curien
CONTEXT: Higher plants, as autotrophic organisms, are effective sources of molecules. They hold great promise for metabolic engineering, but the behavior of plant metabolism at the network level is still incompletely described. Although structural models (stoichiometry matrices) and pathway databases are extremely useful, they cannot describe the complexity of the metabolic context and new tools are required to visually represent integrated biocurated knowledge for use by both humans and computers...
April 25, 2017: Plant Physiology
https://www.readbyqxmd.com/read/28441084/the-emergence-of-noncoding-rnas-as-heracles-in-autophagy
#7
Jian Zhang, Peiyuan Wang, Lin Wan, Shouping Xu, Da Pang
Macroautophagy/autophagy is a catabolic process that is widely found in nature. Over the past few decades, mounting evidence has indicated that noncoding RNAs, ranging from small noncoding RNAs to long noncoding RNAs (lncRNAs) and even circular RNAs (circRNAs), mediate the transcriptional and post-transcriptional regulation of autophagy-related genes by participating in autophagy regulatory networks. The differential expression of noncoding RNAs affects autophagy levels at different physiological and pathological stages, including embryonic proliferation and differentiation, cellular senescence, and even diseases such as cancer...
April 25, 2017: Autophagy
https://www.readbyqxmd.com/read/28440993/-training-of-institutional-research-networks-as-a-strategy-of-improvement
#8
María Eugenia Galván-Plata, Eduardo Almeida-Gutiérrez, Fabio Abdel Salamanca-Gómez
The Instituto Mexicano del Seguro Social (IMSS) through the Coordinación de Investigación en Salud (Health Research Council) has promoted a strong link between the generation of scientific knowledge and the clinical care through the program Redes Institucionales de Investigación (Institutional Research Network Program), whose main aim is to promote and generate collaborative research between clinical, basic, epidemiologic, educational, economic and health services researchers, seeking direct benefits for patients, as well as to generate a positive impact on institutional processes...
May 2017: Revista Médica del Instituto Mexicano del Seguro Social
https://www.readbyqxmd.com/read/28440872/lay-health-educators-and-print-materials-for-the-promotion-of-colorectal-cancer-screening-among-korean-americans-a-randomized-comparative-effectiveness-study
#9
Angela M Jo, Tung T Nguyen, Susan Stewart, Min J Sung, Ginny Gildengorin, Janice Y Tsoh, Elisa K Tong, Penny Lo, Charlene Cuaresma, Angela Sy, Hy Lam, Ching Wong, Matthew Jeong, Moon S Chen, Marjorie Kagawa-Singer
BACKGROUND: Colorectal cancer (CRC) is the second most commonly diagnosed cancer among Korean American men and women. Although CRC screening is effective in reducing the burden of this disease, studies have shown that Korean Americans have low screening rates. METHODS: The authors conducted a 2-arm cluster randomized controlled trial comparing a brochure (print) with a brochure and lay health educator (LHE) outreach (print + LHE) in increasing CRC screening rates among Korean American individuals...
April 25, 2017: Cancer
https://www.readbyqxmd.com/read/28440796/the-importance-of-international-collaboration-for-rare-diseases-research-a-european-perspective
#10
REVIEW
D Julkowska, C P Austin, C M Cutillo, D Gancberg, C Hager, J Halftermeyer, A H Jonker, L P L Lau, I Norstedt, A Rath, R Schuster, E Simelyte, S van Weely
Over the last two decades, important contributions were made at national, European and international levels to foster collaboration into rare diseases research. The European Union (EU) has put much effort into funding rare diseases research, encouraging national funding organizations to collaborate together in the E-Rare programme, setting up European Reference Networks for rare diseases and complex conditions, and initiating the International Rare Diseases Research Consortium (IRDiRC) together with the National Institutes of Health in the USA...
April 25, 2017: Gene Therapy
https://www.readbyqxmd.com/read/28440122/effects-of-low-dose-ionizing-radiation-on-dna-damage-caused-pathways-by-reverse-phase-protein-array-and-bayesian-networks
#11
Dong-Chul Kim, Mingon Kang, Ashis Biswas, Chin-Rang Yang, Xiaoyu Wang, Jean X Gao
Ionizing radiation (IR) causing damages to Deoxyribonucleic acid (DNA) constitutes a broad range of base damage and double strand break, and thereby, it induces the operation of relevant signaling pathways such as DNA repair, cell cycle control, and cell apoptosis. The goal of this paper is to study how the exposure to low dose radiation affects the human body by observing the signaling pathway associated with Ataxia Telangiectasia mutated (ATM) using Reverse-Phase Protein Array (RPPA) and isogenic human Ataxia Telangiectasia (A-T) cells under different amounts and durations of IR exposure...
April 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28439867/mapping-protein-protein-interactions-using-affinity-purification-and-mass-spectrometry
#12
Chin-Mei Lee, Christopher Adamchek, Ann Feke, Dmitri A Nusinow, Joshua M Gendron
The mapping of protein-protein interaction (PPI) networks and their dynamics are crucial steps to deciphering the function of a protein and its role in cellular pathways, making it critical to have comprehensive knowledge of a protein's interactome. Advances in affinity purification and mass spectrometry technology (AP-MS) have provided a powerful and unbiased method to capture higher-order protein complexes and decipher dynamic PPIs. However, the unbiased calling of nonspecific interactions and the ability to detect transient interactions remains challenging when using AP-MS, thereby hampering the detection of biologically meaningful complexes...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28439866/mapping-protein-protein-interaction-using-high-throughput-yeast-2-hybrid
#13
Jessica Lopez, M Shahid Mukhtar
A tremendous asset to the analysis of protein-protein interactions is the yeast-2-hybrid (Y2H) method. The Y2H assay is a heterologous system that is expanding network biology knowledge via in vivo investigations of binary protein-protein interactions. Traditionally, the Y2H protocol entails the mating or co-transformation of yeast in solid agar media followed by visual analysis for diploid selection. Having played a key role in identifying protein-protein interactions for nearly three decades in a wide range of biological systems, the Y2H system assays the interaction between two proteins of interest which results in a reconstituted and/or activation of transcription factor allowing a reporter gene to be transcribed...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28439449/mobilizable-genomic-islands-different-strategies-for-the-dissemination-of-multidrug-resistance-and-other-adaptive-traits
#14
COMMENT
Nicolas Carraro, Nicolas Rivard, Vincent Burrus, Daniela Ceccarelli
Mobile genetic elements are near ubiquitous DNA segments that revealed a surprising variety of strategies for their propagation among prokaryotes and between eukaryotes. In bacteria, conjugative elements were shown to be key drivers of evolution and adaptation by efficiently disseminating genes involved in pathogenicity, symbiosis, metabolic pathways, and antibiotic resistance. Conjugative plasmids of the incompatibility groups A and C (A/C) are important vehicles for the dissemination of antibiotic resistance and the consequent global emergence and spread of multi-resistant pathogenic bacteria...
2017: Mobile Genetic Elements
https://www.readbyqxmd.com/read/28439014/brain-networks-for-confidence-weighting-and-hierarchical-inference-during-probabilistic-learning
#15
Florent Meyniel, Stanislas Dehaene
Learning is difficult when the world fluctuates randomly and ceaselessly. Classical learning algorithms, such as the delta rule with constant learning rate, are not optimal. Mathematically, the optimal learning rule requires weighting prior knowledge and incoming evidence according to their respective reliabilities. This "confidence weighting" implies the maintenance of an accurate estimate of the reliability of what has been learned. Here, using fMRI and an ideal-observer analysis, we demonstrate that the brain's learning algorithm relies on confidence weighting...
April 24, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28438764/neurogenic-hypertension-and-the-secret-of-respiration
#16
Benedito H Machado, Daniel B Zoccal, Davi J A Moraes
In spite of recent advances on the knowledgement of the neural control of cardiovascular function, the cause of sympathetic overactivity in neurogenic hypertension remains unknown. Studies from our laboratory point out that rats submitted to chronic intermittent hypoxia (CIH), an experimental model of neurogenic hypertension, present changes in the central respiratory network that impact the pattern of sympathetic discharge and the levels of arterial pressure. In addition to the fine coordination of respiratory muscle contraction and relaxation, essential for O2 and CO2 pulmonary exchanges, neurons of the respiratory network are precisely connected to the neurons controlling the sympathetic activity in the brainstem...
April 24, 2017: American Journal of Physiology. Regulatory, Integrative and Comparative Physiology
https://www.readbyqxmd.com/read/28436902/learning-to-predict-consequences-as-a-method-of-knowledge-transfer-in-reinforcement-learning
#17
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron Gruber
The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in the future. The ability to predict actions' consequences may facilitate such knowledge transfer. We consider here domains where an RL agent has access to two kinds of information: agent-centric information with constant semantics across tasks, and environment-centric information, which is necessary to solve the task, but with semantics that differ between tasks...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436891/off-policy-reinforcement-learning-for-synchronization-in-multiagent-graphical-games
#18
Jinna Li, Hamidreza Modares, Tianyou Chai, Frank L Lewis, Lihua Xie
This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete knowledge of agent dynamics, the proposed off-policy RL algorithm is a model-free approach, in that it solves the optimal synchronization problem without knowing any knowledge of the agent dynamics. A prescribed control policy, called behavior policy, is applied to each agent to generate and collect data for learning...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436874/track-everything-limiting-prior-knowledge-in-online-multi-object-recognition
#19
Sebastien C Wong, Victor Stamatescu, Adam Gatt, David Kearney, Ivan Lee, Mark D McDonnell
This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene without relying on object-specific prior knowledge, which in other systems can take the form of hand-crafted features or user-based track initialization. We then classify the tracked objects with a fastlearning image classifier that is based on a shallow convolutional neural network architecture and demonstrate that object recognition improves when this is combined with object state information from the tracking algorithm...
April 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28436853/automatic-skin-lesion-segmentation-using-deep-fully-convolutional-networks-with-jaccard-distance
#20
Yading Yuan, Ming Chao, Yeh-Chi Lo
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders, the existence of various artifacts, and various imaging acquisition conditions. In this article, we present a fully automatic method for skin lesion segmentation by leveraging a 19-layer deep convolutional neural networks (CNNs) that is trained end-to- end and does not rely on prior knowledge of the data. We propose a set of strategies to ensure effective and efficient learning with limited training data...
April 18, 2017: IEEE Transactions on Medical Imaging
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