Institution
Pusan National University
Education•Busan, South Korea•
About: Pusan National University is a education organization based out in Busan, South Korea. It is known for research contribution in the topics: Catalysis & Population. The organization has 24124 authors who have published 45054 publications receiving 819356 citations. The organization is also known as: Busan National University & Pusan University.
Topics: Catalysis, Population, Thin film, Medicine, Apoptosis
Papers published on a yearly basis
Papers
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TL;DR: How IR- induced EMT/CSC/oncogenic metabolism may promote resistance to radiotherapy is discussed and efforts to develop therapeutic approaches to eliminate these IR-induced adverse effects are reviewed.
Abstract: Radiation therapy is one of the major tools of cancer treatment, and is widely used for a variety of malignant tumours. Radiotherapy causes DNA damage directly by ionization or indirectly via the generation of reactive oxygen species (ROS), thereby destroying cancer cells. However, ionizing radiation (IR) paradoxically promotes metastasis and invasion of cancer cells by inducing the epithelial-mesenchymal transition (EMT). Metastasis is a major obstacle to successful cancer therapy, and is closely linked to the rates of morbidity and mortality of many cancers. ROS have been shown to play important roles in mediating the biological effects of IR. ROS have been implicated in IR-induced EMT, via activation of several EMT transcription factors—including Snail, HIF-1, ZEB1, and STAT3—that are activated by signalling pathways, including those of TGF-β, Wnt, Hedgehog, Notch, G-CSF, EGFR/PI3K/Akt, and MAPK. Cancer cells that undergo EMT have been shown to acquire stemness and undergo metabolic changes, although these points are debated. IR is known to induce cancer stem cell (CSC) properties, including dedifferentiation and self-renewal, and to promote oncogenic metabolism by activating these EMT-inducing pathways. Much accumulated evidence has shown that metabolic alterations in cancer cells are closely associated with the EMT and CSC phenotypes; specifically, the IR-induced oncogenic metabolism seems to be required for acquisition of the EMT and CSC phenotypes. IR can also elicit various changes in the tumour microenvironment (TME) that may affect invasion and metastasis. EMT, CSC, and oncogenic metabolism are involved in radioresistance; targeting them may improve the efficacy of radiotherapy, preventing tumour recurrence and metastasis. This study focuses on the molecular mechanisms of IR-induced EMT, CSCs, oncogenic metabolism, and alterations in the TME. We discuss how IR-induced EMT/CSC/oncogenic metabolism may promote resistance to radiotherapy; we also review efforts to develop therapeutic approaches to eliminate these IR-induced adverse effects.
362 citations
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Goethe University Frankfurt1, Warsaw University of Technology2, Pusan National University3, Polish Academy of Sciences4, Max Planck Society5, Eötvös Loránd University6, Hungarian Academy of Sciences7, Stony Brook University8, GSI Helmholtz Centre for Heavy Ion Research9, National and Kapodistrian University of Athens10, Joint Institute for Nuclear Research11, University of Washington12, Charles University in Prague13, Massachusetts Institute of Technology14, University of Marburg15, University of Warsaw16, Comenius University in Bratislava17, CERN18, Bulgarian Academy of Sciences19
TL;DR: In this paper, results on charged pion and kaon production in central Pb+Pb collisions at 20A and 30A GeV are presented and compared to data at lower and higher energies.
Abstract: Results on charged pion and kaon production in central Pb+Pb collisions at 20A and 30A GeV are presented and compared to data at lower and higher energies. Around 30A GeV a rapid change of the energy dependence for the yields of pions and kaons as well as for the shape of the transverse mass spectra is observed. The change is compatible with the prediction that the threshold for production of a state of deconfined matter at the early stage of the collisions is located at low CERN Super Proton Synchroton energies.
360 citations
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TL;DR: In this article, the authors examined spillover effects among six commodity futures markets by employing the multivariate DECO-GARCH model and the spillover index and found that the spillovers increased sharply during economic and financial turmoil, diminishing the benefits of international portfolio diversification for investors.
360 citations
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University of Belgrade1, Danube University Krems2, Max Planck Society3, University of Glasgow4, Vestre Viken Hospital Trust5, University Hospital Bonn6, Shaare Zedek Medical Center7, Radboud University Nijmegen8, Jewish General Hospital9, Pusan National University10, Samsung Medical Center11, Inha University12, Hallym University13, Gachon University14, University of Tuzla15, University of Michigan16, Technion – Israel Institute of Technology17, Rambam Health Care Campus18, University of Edinburgh19, university of lille20, Tel Aviv University21
TL;DR: PSD is proposed as a label for any dementia following stroke in temporal relation and no specific biomarkers have been proven to robustly discriminate vulnerable patients (‘at risk brains’) from those with better prognosis or to discriminate Alzheimer’s disease dementia from PSD.
Abstract: Post-stroke dementia (PSD) or post-stroke cognitive impairment (PSCI) may affect up to one third of stroke survivors. Various definitions of PSCI and PSD have been described. We propose PSD as a label for any dementia following stroke in temporal relation. Various tools are available to screen and assess cognition, with few PSD-specific instruments. Choice will depend on purpose of assessment, with differing instruments needed for brief screening (e.g., Montreal Cognitive Assessment) or diagnostic formulation (e.g., NINDS VCI battery). A comprehensive evaluation should include assessment of pre-stroke cognition (e.g., using Informant Questionnaire for Cognitive Decline in the Elderly), mood (e.g., using Hospital Anxiety and Depression Scale), and functional consequences of cognitive impairments (e.g., using modified Rankin Scale). A large number of biomarkers for PSD, including indicators for genetic polymorphisms, biomarkers in the cerebrospinal fluid and in the serum, inflammatory mediators, and peripheral microRNA profiles have been proposed. Currently, no specific biomarkers have been proven to robustly discriminate vulnerable patients (‘at risk brains’) from those with better prognosis or to discriminate Alzheimer’s disease dementia from PSD. Further, neuroimaging is an important diagnostic tool in PSD. The role of computerized tomography is limited to demonstrating type and location of the underlying primary lesion and indicating atrophy and severe white matter changes. Magnetic resonance imaging is the key neuroimaging modality and has high sensitivity and specificity for detecting pathological changes, including small vessel disease. Advanced multi-modal imaging includes diffusion tensor imaging for fiber tracking, by which changes in networks can be detected. Quantitative imaging of cerebral blood flow and metabolism by positron emission tomography can differentiate between vascular dementia and degenerative dementia and show the interaction between vascular and metabolic changes. Additionally, inflammatory changes after ischemia in the brain can be detected, which may play a role together with amyloid deposition in the development of PSD. Prevention of PSD can be achieved by prevention of stroke. As treatment strategies to inhibit the development and mitigate the course of PSD, lowering of blood pressure, statins, neuroprotective drugs, and anti-inflammatory agents have all been studied without convincing evidence of efficacy. Lifestyle interventions, physical activity, and cognitive training have been recently tested, but large controlled trials are still missing.
359 citations
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TL;DR: In this article, a new approach to model surface roughness in fused deposition modeling (FDM) is proposed, which is based on real-world FDM parts and a theoretical model is presented by considering the main factors that crucially affect surface quality.
357 citations
Authors
Showing all 24296 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hyun-Chul Kim | 176 | 4076 | 183227 |
Taeghwan Hyeon | 139 | 563 | 75814 |
George C. Schatz | 137 | 1155 | 94910 |
Darwin J. Prockop | 128 | 576 | 87066 |
Mark A. Ratner | 127 | 968 | 68132 |
Csaba Szabó | 123 | 958 | 61791 |
David E. McClelland | 107 | 602 | 72881 |
Yong Sik Ok | 102 | 854 | 41532 |
C. M. Mow-Lowry | 101 | 378 | 66659 |
I. K. Yoo | 101 | 437 | 32681 |
Haijun Yang | 100 | 403 | 35114 |
Buddy D. Ratner | 99 | 501 | 35660 |
Dong Jo Kim | 98 | 497 | 36272 |
Shuzhi Sam Ge | 97 | 883 | 40865 |
B. J. J. Slagmolen | 96 | 349 | 62356 |