Institution
Yonsei University
Education•Seoul, South Korea•
About: Yonsei University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Cancer. The organization has 50162 authors who have published 106172 publications receiving 2279044 citations. The organization is also known as: Yonsei.
Topics: Population, Cancer, Medicine, Thin film, Breast cancer
Papers published on a yearly basis
Papers
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TL;DR: Nonalcoholic fatty liver disease is closely associated with metabolic disorders, even in nonobese, nondiabetic subjects, and can be considered an early predictor of metabolic Disorders, particularly in the normal-weight population.
Abstract: Background Obesity and type 2 diabetes are well-known risk factors for the development of nonalcoholic fatty liver disease (NAFLD). However, NAFLD is not rare in nonobese, nondiabetic adults. The aim of this study was to evaluate the metabolic significance of NAFLD in nonobese, nondiabetic adults. Methods This study examined 768 nonobese (body mass index [BMI] [calculated as weight in kilograms divided by the square of height in meters], ≥18.5 and Results The prevalence of NAFLD in the enrolled subjects was 23.4%. In the normal-weight (BMI, ≥18.5 and Conclusions Nonalcoholic fatty liver disease is closely associated with metabolic disorders, even in nonobese, nondiabetic subjects. Nonalcoholic fatty liver disease can be considered an early predictor of metabolic disorders, particularly in the normal-weight population.
414 citations
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Goethe University Frankfurt1, Charité2, Kyung Hee University3, Lille University of Science and Technology4, University of Paris5, Charles University in Prague6, University of Western Brittany7, Inje University8, Erasmus University Rotterdam9, Harvard University10, University of Turku11, Newcastle University12, University of Hong Kong13, Comenius University in Bratislava14, University of Granada15, University of Nantes16, University of Rennes17, Pierre-and-Marie-Curie University18, French Institute of Health and Medical Research19, University of Milan20, University of Marburg21, Yonsei University22, Instituto Português de Oncologia Francisco Gentil23, Seoul National University24, Hannover Medical School25, University of Padua26, University of Zurich27, University of Hamburg28, University of New South Wales29, Sheba Medical Center30, Tel Aviv University31, University of Copenhagen32, Southmead Hospital33, University of Porto34, University of Catania35, University of Kiel36, University of Silesia in Katowice37, Medical University of Vienna38
TL;DR: Long-distance inverse-polymerase chain reaction was used to characterize the chromosomal rearrangement of individual acute leukemia patients and revealed a total of 121 different MLL rearrangements, of which 79 TPGs are now characterized at the molecular level.
Abstract: Chromosomal rearrangements of the human MLL (mixed lineage leukemia) gene are associated with high-risk infant, pediatric, adult and therapy-induced acute leukemias. We used long-distance inverse-polymerase chain reaction to characterize the chromosomal rearrangement of individual acute leukemia patients. We present data of the molecular characterization of 1590 MLL-rearranged biopsy samples obtained from acute leukemia patients. The precise localization of genomic breakpoints within the MLL gene and the involved translocation partner genes (TPGs) were determined and novel TPGs identified. All patients were classified according to their gender (852 females and 745 males), age at diagnosis (558 infant, 416 pediatric and 616 adult leukemia patients) and other clinical criteria. Combined data of our study and recently published data revealed a total of 121 different MLL rearrangements, of which 79 TPGs are now characterized at the molecular level. However, only seven rearrangements seem to be predominantly associated with illegitimate recombinations of the MLL gene (∼90%): AFF1/AF4, MLLT3/AF9, MLLT1/ENL, MLLT10/AF10, ELL, partial tandem duplications (MLL PTDs) and MLLT4/AF6, respectively. The MLL breakpoint distributions for all clinical relevant subtypes (gender, disease type, age at diagnosis, reciprocal, complex and therapy-induced translocations) are presented. Finally, we present the extending network of reciprocal MLL fusions deriving from complex rearrangements.
414 citations
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University of Manitoba1, Johns Hopkins University2, Tufts University3, University of Wisconsin-Madison4, Tel Aviv University5, University of Minnesota6, University of Auckland7, Karolinska Institutet8, Norwegian University of Science and Technology9, Tohoku University10, Yonsei University11, Veterans Health Administration12, University of Tennessee Health Science Center13, Innsbruck Medical University14, University of Groningen15, University of Aberdeen16, Icahn School of Medicine at Mount Sinai17, Cleveland Clinic18, National Institutes of Health19, University of Erlangen-Nuremberg20, University of Sydney21, University of Oxford22
TL;DR: Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts, but the original risk equations overestimated risk in some non-North American cohorts.
Abstract: Importance Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed. Objective To evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis. Data Sources Thirty-one cohorts, including 721 357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014. Study Selection Cohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease. Data Extraction and Synthesis Data were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed. Main Outcomes and Measures Kidney failure (treatment by dialysis or kidney transplant). Results During a median follow-up of 4 years of 721 357 participants with CKD, 23 829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overallCstatistic, 0.90; 95% CI, 0.89-0.92 at 2 years;Cstatistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 andP = .02). Conclusions and Relevance Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.
413 citations
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TL;DR: The physics of the SLAC and KEK B Factories are described in this paper, with a brief description of the detectors, BaBar and Belle, and data taking related issues.
Abstract: This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C.
413 citations
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TL;DR: The results indicate that the dynamic interplay between O-GlcNAc and O-phosphate modifications coordinately regulate p53 stability and activity and stabilizes p53 by blocking ubiquitin-dependent proteolysis.
Abstract: Post-translational addition of O-linked N-acetylglucosamine (O-GlcNAc) to p53 is known to occur, but the site of O-GlcNAcylation and its effects on p53 are not understood. Here, we show that Ser 149 of p53 is O-GlcNAcylated and that this modification is associated with decreased phosphorylation of p53 at Thr 155, which is a site that is targeted by the COP9 signalosome, resulting in decreased p53 ubiquitination. Accordingly, O-GlcNAcylation at Ser 149 stabilizes p53 by blocking ubiquitin-dependent proteolysis. Our results indicate that the dynamic interplay between O-GlcNAc and O-phosphate modifications coordinately regulate p53 stability and activity.
412 citations
Authors
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Name | H-index | Papers | Citations |
---|---|---|---|
Younan Xia | 216 | 943 | 175757 |
Peer Bork | 206 | 697 | 245427 |
Ralph Weissleder | 184 | 1160 | 142508 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Yongsun Kim | 156 | 2588 | 145619 |
Jongmin Lee | 150 | 2257 | 134772 |
James M. Tiedje | 150 | 688 | 102287 |
Guanrong Chen | 141 | 1652 | 92218 |
Kazunori Kataoka | 138 | 908 | 70412 |
Herbert Y. Meltzer | 137 | 1148 | 81371 |
Peter M. Rothwell | 134 | 779 | 67382 |
Tae Jeong Kim | 132 | 1420 | 93959 |
Shih-Chang Lee | 128 | 787 | 61350 |
Ming-Hsuan Yang | 127 | 635 | 75091 |