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https://www.readbyqxmd.com/read/27933490/alterations-in-the-cerebral-microvascular-proteome-expression-profile-after-transient-global-cerebral-ischemia-in-rat
#1
Stine Spray, Sara E Johansson, Alistair V G Edwards, Martin R Larsen, Aneta Radziwon-Balicka, Gro K Povlsen, Lars Edvinsson
This study aimed at obtaining an in-depth mapping of expressional changes of the cerebral microvasculature after transient global cerebral ischemia (GCI) and the impact on these GCI-induced expressional changes of post-GCI treatment with a mitogen-activated protein kinase kinase (MEK1/2) inhibitor. GCI was induced in male Wistar rats followed by treatment with either vehicle or the MEK1/2 inhibitor U0126 every 12 h post-GCI. Seventy-two hours after GCI or sham surgery, the cerebral microvasculature was isolated and the protein content analysed with state-of-the-art mass spectrometry...
December 8, 2016: Journal of Molecular Neuroscience: MN
https://www.readbyqxmd.com/read/27933280/bone-imaging-in-prostate-cancer-the-evolving-roles-of-nuclear-medicine-and-radiology
#2
REVIEW
Gary J R Cook, Gurdip Azad, Anwar R Padhani
The bone scan continues to be recommended for both the staging and therapy response assessment of skeletal metastases from prostate cancer. However, it is widely recognised that bone scans have limited sensitivity for disease detection and is both insensitive and non-specific for determining treatment response, at an early enough time point to be clinically useful. We, therefore, review the evolving roles of nuclear medicine and radiology for this application. We have reviewed the published literature reporting recent developments in imaging bone metastases in prostate cancer, and provide a balanced synopsis of the state of the art...
2016: Clinical and Translational Imaging: Reviews in Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/27932290/the-diagnosis-of-idiopathic-pulmonary-fibrosis-current-and-future-approaches
#3
REVIEW
Fernando J Martinez, Alison Chisholm, Harold R Collard, Kevin R Flaherty, Jeffrey Myers, Ganesh Raghu, Simon L F Walsh, Eric S White, Luca Richeldi
With the recent development of two effective treatments for patients with idiopathic pulmonary fibrosis, an accurate diagnosis is crucial. The traditional approach to diagnosis emphasises the importance of thorough clinical and laboratory evaluations to exclude secondary causes of disease. High-resolution CT is a critical initial diagnostic test and acts as a tool to identify patients who should undergo surgical lung biopsy to secure a definitive histological diagnosis of usual interstitial pneumonia pattern...
December 5, 2016: Lancet Respiratory Medicine
https://www.readbyqxmd.com/read/27932146/organ-donation-after-euthanasia-in-the-netherlands-a-case-report
#4
A K S van Wijngaarden, D J van Westerloo, J Ringers
In 2014, there was still a shortage of available organs for transplantation, and 1044 patients were waiting for an organ in the Netherlands. Maximizing the pool of organ donors is part of the solution. In 2001, the Dutch Termination of Life on Request and Assisted Suicide Act was adopted, legalizing euthanasia under strict conditions. In 2010, 3136 reports were made of euthanasia and assisted suicide; in 2014, 5306 reports were made. Among them were patients with a desire to donate their organs after their deaths...
November 2016: Transplantation Proceedings
https://www.readbyqxmd.com/read/27931962/imaging-of-vasculitis-state-of-the-art
#5
REVIEW
Francesco Muratore, Nicolò Pipitone, Carlo Salvarani, Wolfgang A Schmidt
The increasing availability and improvement of imaging techniques are making a profound impact in the evaluation and management of patients with vasculitis, particularly for those with large vessel vasculitis, and will most likely play an ever more important role in the future. Deep, large vessels can be examined by CT or MRI, while ultrasound is the method of choice for the evaluation of superficial vessels (such as temporal, carotid, and axillary arteries). PET is very sensitive in detecting large vessel inflammation, but it does not delineate the vessel wall...
August 2016: Best Practice & Research. Clinical Rheumatology
https://www.readbyqxmd.com/read/27931955/imaging-in-rheumatic-and-musculoskeletal-conditions-imaging-rheumatic-diseases-state-of-the-art-and-challenges
#6
EDITORIAL
Esperanza Naredo, Lene Terslev
No abstract text is available yet for this article.
August 2016: Best Practice & Research. Clinical Rheumatology
https://www.readbyqxmd.com/read/27931644/monitoring-microcirculation
#7
REVIEW
Işık Ocak, Atila Kara, Can Ince
The clinical relevance of microcirculation and its bedside observation started gaining importance in the 1990s since the introduction of hand-held video microscopes. From then, this technology has been continuously developed, and its clinical relevance has been established in more than 400 studies. In this paper, we review the different types of video microscopes, their application techniques, the microcirculation of different organ systems, the analysis methods, and the software and scoring systems. The main focus of this review will be on the state-of-art technique, CytoCam-incident dark-field imaging, and the most recent technological and technical updates concerning microcirculation monitoring...
December 2016: Best Practice & Research. Clinical Anaesthesiology
https://www.readbyqxmd.com/read/27930689/determination-of-a-screening-metric-for-high-diversity-dna-libraries
#8
Nicholas J Guido, Steven Handerson, Elaine M Joseph, Devin Leake, Li A Kung
The fields of antibody engineering, enzyme optimization and pathway construction rely increasingly on screening complex variant DNA libraries. These highly diverse libraries allow researchers to sample a maximized sequence space; and therefore, more rapidly identify proteins with significantly improved activity. The current state of the art in synthetic biology allows for libraries with billions of variants, pushing the limits of researchers' ability to qualify libraries for screening by measuring the traditional quality metrics of fidelity and diversity of variants...
2016: PloS One
https://www.readbyqxmd.com/read/27930676/stochastic-simulation-service-bridging-the-gap-between-the-computational-expert-and-the-biologist
#9
Brian Drawert, Andreas Hellander, Ben Bales, Debjani Banerjee, Giovanni Bellesia, Bernie J Daigle, Geoffrey Douglas, Mengyuan Gu, Anand Gupta, Stefan Hellander, Chris Horuk, Dibyendu Nath, Aviral Takkar, Sheng Wu, Per Lötstedt, Chandra Krintz, Linda R Petzold
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for modeling and simulation of both deterministic and discrete stochastic biochemical systems in up to three dimensions. An easy to use graphical user interface enables researchers to quickly develop and simulate a biological model on a desktop or laptop, which can then be expanded to incorporate increasing levels of complexity. StochSS features state-of-the-art simulation engines. As the demand for computational power increases, StochSS can seamlessly scale computing resources in the cloud...
December 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27929140/acfs-accurate-circrna-identification-and-quantification-from-rna-seq-data
#10
Xintian You, Tim Of Conrad
Circular RNAs (circRNAs) are a group of single-stranded RNAs in closed circular form. They are splicing-generated, widely expressed in various tissues and have functional implications in development and diseases. To facilitate genome-wide characterization of circRNAs using RNA-Seq data, we present a freely available software package named acfs. Acfs allows de novo, accurate and fast identification and abundance quantification of circRNAs from single- and paired-ended RNA-Seq data. On simulated datasets, acfs achieved the highest F1 accuracy and lowest false discovery rate among current state-of-the-art tools...
December 8, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27929098/ep-dnn-a-deep-neural-network-based-global-enhancer-prediction-algorithm
#11
Seong Gon Kim, Mrudul Harwani, Ananth Grama, Somali Chaterji
We present EP-DNN, a protocol for predicting enhancers based on chromatin features, in different cell types. Specifically, we use a deep neural network (DNN)-based architecture to extract enhancer signatures in a representative human embryonic stem cell type (H1) and a differentiated lung cell type (IMR90). We train EP-DNN using p300 binding sites, as enhancers, and TSS and random non-DHS sites, as non-enhancers. We perform same-cell and cross-cell predictions to quantify the validation rate and compare against two state-of-the-art methods, DEEP-ENCODE and RFECS...
December 8, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27928935/taking-the-stock-of-granule-cargo-platelet-releasate-proteomics
#12
Oliver Pagel, Elena Walter, Kerstin Jurk, René P Zahedi
Human platelets are key players in a multitude of physiological and pathological processes. Upon activation they release cargo from different types of granules as well as microparticles in an apparently well-regulated and orchestrated manner. The resulting specific platelet releasates create microenvironments of biologically active compounds and proteins during platelet aggregation and thrombus formation, allowing efficient delivery of growth factors and immune modulators to their sites of effect and enhancing the coagulative response in a positive feedback loop...
December 8, 2016: Platelets
https://www.readbyqxmd.com/read/27928657/multi-domain-transfer-learning-for-early-diagnosis-of-alzheimer-s-disease
#13
Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang
Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD...
December 7, 2016: Neuroinformatics
https://www.readbyqxmd.com/read/27928656/sparsetracer-the-reconstruction-of-discontinuous-neuronal-morphology-in-noisy-images
#14
Shiwei Li, Hang Zhou, Tingwei Quan, Jing Li, Yuxin Li, Anan Li, Qingming Luo, Hui Gong, Shaoqun Zeng
Digital reconstruction of a single neuron occupies an important position in computational neuroscience. Although many novel methods have been proposed, recent advances in molecular labeling and imaging systems allow for the production of large and complicated neuronal datasets, which pose many challenges for neuron reconstruction, especially when discontinuous neuronal morphology appears in a strong noise environment. Here, we develop a new pipeline to address this challenge. Our pipeline is based on two methods, one is the region-to-region connection (RRC) method for detecting the initial part of a neurite, which can effectively gather local cues, i...
December 7, 2016: Neuroinformatics
https://www.readbyqxmd.com/read/27928102/cytotoxicity-and-biocompatibility-of-resin-free-and-resin-modified-direct-pulp-capping-materials-a-state-of-the-art-review
#15
Liang Chen, Byoung In Suh
Direct pulp capping is the placement of a dental material directly over exposed pulp to prevent dental pulp from dying and avoid the need for root canal treatments. Calcium hydroxide and calcium silicates/mineral trioxide aggregates (MTA) have been commonly used for direct pulp capping with great success clinically. In recent years, resin-modified calcium hydroxide and calcium silicates have been developed with the advantages of precise placement, command set, and superior physical strength. As pulp capping materials would be in direct contact with the pulp, the cytotoxicity and biocompatibility is of particular importance in order to avoid pulp irritation and maintain pulp vitality...
December 6, 2016: Dental Materials Journal
https://www.readbyqxmd.com/read/27927188/investigating-potentially-salvageable-penumbra-tissue-in-an-in-vivo-model-of-transient-ischemic-stroke-using-sodium-diffusion-and-perfusion-magnetic-resonance-imaging
#16
Friedrich Wetterling, Eva Chatzikonstantinou, Laurent Tritschler, Stephen Meairs, Marc Fatar, Lothar R Schad, Saema Ansar
BACKGROUND: Diffusion magnetic resonance imaging (MRI) is the current-state-of-the-art technique to clinically investigate acute (0-24 h) ischemic stroke tissue. However, reduced apparent diffusion coefficient (ADC)-considered a marker of tissue damage-was observed to reverse spontaneously during the subacute stroke phase (24-72 h) which means that low ADC cannot be used to reflect the damaged tissue after 24 h in experimental and clinical studies. One reason for the change in ADC is that ADC values drop with cytotoxic edema (acute phase) and rise when vasogenic edema begins (subacute phase)...
December 7, 2016: BMC Neuroscience
https://www.readbyqxmd.com/read/27926994/microvessels-of-the-heart-formation-regeneration-and-dysfunction
#17
Ioakim Spyridopoulos, Helen M Arthur
This issue of Microcirculation focusses on the special topic of "microvessels of the heart" and contains five state-of-the-art reviews and one expert article that reflect current efforts to address the major gaps in our understanding of these key microvessels. In the adult heart, most attention until recently (especially among the clinical cardiology community) has been given to the main coronary arteries, which are the culprit vessels in patients with coronary artery disease, including its most serious manifestation, acute myocardial infarction (MI)...
December 7, 2016: Microcirculation: the Official Journal of the Microcirculatory Society, Inc
https://www.readbyqxmd.com/read/27926382/prediction-of-anti-cancer-drug-response-by-kernelized-multi-task-learning
#18
Mehmet Tan
MOTIVATION: Chemotherapy or targeted therapy are two of the main treatment options for many types of cancer. Due to the heterogeneous nature of cancer, the success of the therapeutic agents differs among patients. In this sense, determination of chemotherapeutic response of the malign cells is essential for establishing a personalized treatment protocol and designing new drugs. With the recent technological advances in producing large amounts of pharmacogenomic data, in silico methods have become important tools to achieve this aim...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926381/a-review-on-brain-structures-segmentation-in-magnetic-resonance-imaging
#19
REVIEW
Sandra González-Villà, Arnau Oliver, Sergi Valverde, Liping Wang, Reyer Zwiggelaar, Xavier Lladó
BACKGROUND AND OBJECTIVES: Automatic brain structures segmentation in magnetic resonance images has been widely investigated in recent years with the goal of helping diagnosis and patient follow-up in different brain diseases. Here, we present a review of the state-of-the-art of automatic methods available in the literature ranging from structure specific segmentation methods to whole brain parcellation approaches. METHODS: We divide first the algorithms according to their target structures and then we propose a general classification based on their segmentation strategy, which includes atlas-based, learning-based, deformable, region-based and hybrid methods...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926378/automated-segmentation-of-white-matter-fiber-bundles-using-diffusion-tensor-imaging-data-and-a-new-density-based-clustering-algorithm
#20
Tahereh Kamali, Daniel Stashuk
OBJECTIVE: Robust and accurate segmentation of brain white matter (WM) fiber bundles assists in diagnosing and assessing progression or remission of neuropsychiatric diseases such as schizophrenia, autism and depression. Supervised segmentation methods are infeasible in most applications since generating gold standards is too costly. Hence, there is a growing interest in designing unsupervised methods. However, most conventional unsupervised methods require the number of clusters be known in advance which is not possible in most applications...
October 2016: Artificial Intelligence in Medicine
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