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Yoo S, Garg E, Elliott LT, Hung RJ, Halevy AR, Brooks JD, Bull SB, Gagnon F, Greenwood C, Lawless JF, Paterson AD, Sun L, Zawati MH, Lerner-Ellis J, Abraham R, Birol I, Bourque G, Garant JM, Gosselin C, Li J, Whitney J, Thiruvahindrapuram B, Herbrick JA, Lorenti M, Reuter MS, Adeoye OO, Liu S, Allen U, Bernier FP, Biggs CM, Cheung AM, Cowan J, Herridge M, Maslove DM, Modi BP, Mooser V, Morris SK, Ostrowski M, Parekh RS, Pfeffer G, Suchowersky O, Taher J, Upton J, Warren RL, Yeung R, Aziz N, Turvey SE, Knoppers BM, Lathrop M, Jones S, Scherer SW, Strug LJ. HostSeq: a Canadian whole genome sequencing and clinical data resource. BMC Genom Data 2023; 24:26. [PMID: 37131148 PMCID: PMC10152008 DOI: 10.1186/s12863-023-01128-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 02/22/2023] [Indexed: 05/04/2023] Open
Abstract
HostSeq was launched in April 2020 as a national initiative to integrate whole genome sequencing data from 10,000 Canadians infected with SARS-CoV-2 with clinical information related to their disease experience. The mandate of HostSeq is to support the Canadian and international research communities in their efforts to understand the risk factors for disease and associated health outcomes and support the development of interventions such as vaccines and therapeutics. HostSeq is a collaboration among 13 independent epidemiological studies of SARS-CoV-2 across five provinces in Canada. Aggregated data collected by HostSeq are made available to the public through two data portals: a phenotype portal showing summaries of major variables and their distributions, and a variant search portal enabling queries in a genomic region. Individual-level data is available to the global research community for health research through a Data Access Agreement and Data Access Compliance Office approval. Here we provide an overview of the collective project design along with summary level information for HostSeq. We highlight several statistical considerations for researchers using the HostSeq platform regarding data aggregation, sampling mechanism, covariate adjustment, and X chromosome analysis. In addition to serving as a rich data source, the diversity of study designs, sample sizes, and research objectives among the participating studies provides unique opportunities for the research community.
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Affiliation(s)
- S Yoo
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Ottawa, Ottawa, ON, Canada
| | - E Garg
- Simon Fraser University, Burnaby, BC, Canada
| | - L T Elliott
- Simon Fraser University, Burnaby, BC, Canada
| | - R J Hung
- University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - A R Halevy
- The Hospital for Sick Children, Toronto, ON, Canada
| | - J D Brooks
- University of Toronto, Toronto, ON, Canada
| | - S B Bull
- University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - F Gagnon
- University of Toronto, Toronto, ON, Canada
| | - Cmt Greenwood
- McGill University, Montreal, QC, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - J F Lawless
- University of Waterloo, Waterloo, ON, Canada
| | - A D Paterson
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - L Sun
- University of Toronto, Toronto, ON, Canada
| | | | - J Lerner-Ellis
- University of Toronto, Toronto, ON, Canada
- Sinai Health System, Toronto, ON, Canada
| | - Rjs Abraham
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - I Birol
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - G Bourque
- McGill University, Montreal, QC, Canada
| | - J-M Garant
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - C Gosselin
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - J Li
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - J Whitney
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - J-A Herbrick
- The Hospital for Sick Children, Toronto, ON, Canada
| | - M Lorenti
- The Hospital for Sick Children, Toronto, ON, Canada
| | - M S Reuter
- The Hospital for Sick Children, Toronto, ON, Canada
| | - O O Adeoye
- The Hospital for Sick Children, Toronto, ON, Canada
| | - S Liu
- The Hospital for Sick Children, Toronto, ON, Canada
| | - U Allen
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - F P Bernier
- University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital, Calgary, AB, Canada
| | - C M Biggs
- University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital, Vancouver, BC, Canada
- St. Paul's Hospital, Vancouver, BC, Canada
| | - A M Cheung
- University Health Network, Toronto, ON, Canada
| | - J Cowan
- University of Ottawa, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - M Herridge
- University Health Network, Toronto, ON, Canada
| | | | - B P Modi
- BC Children's Hospital, Vancouver, BC, Canada
| | - V Mooser
- McGill University, Montreal, QC, Canada
| | - S K Morris
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - M Ostrowski
- University of Toronto, Toronto, ON, Canada
- St. Michael's Hospital, Unity Health, Toronto, ON, Canada
| | - R S Parekh
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
- Women's College Hospital, Toronto, ON, Canada
| | - G Pfeffer
- University of Calgary, Calgary, AB, Canada
| | | | - J Taher
- University of Toronto, Toronto, ON, Canada
- Sinai Health System, Toronto, ON, Canada
| | - J Upton
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - R L Warren
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - Rsm Yeung
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - N Aziz
- The Hospital for Sick Children, Toronto, ON, Canada
| | - S E Turvey
- University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital, Vancouver, BC, Canada
| | | | - M Lathrop
- McGill University, Montreal, QC, Canada
| | - Sjm Jones
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - S W Scherer
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - L J Strug
- The Hospital for Sick Children, Toronto, ON, Canada.
- University of Toronto, Toronto, ON, Canada.
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Lynch A, Jeewa A, Maurich A, Mazwi M, Jean-St-Michel E, Zaulan O, Floh A, Yoo S, Langanecha B, Honjo O. A Report of the First Pediatric Total Artificial Heart Implant in Canada. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Chung D, Lee J, Yoo S, Choo M, Cho M, Son H, Jeong H. Effect of EphA2 silencing on inhibiting the progression of non-metastatic renal cell carcinoma in an orthotopic mouse model of renal cell carcinoma. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02455-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Yang D, Murr C, Yoo S, O'Neill L, Catalano S, Blitzblau R, McDuff S, Yin F, Wu Q, Sheng Y. Prospective Clinical Integration of AI Based Treatment Planning Tool for Whole Breast Radiation Therapy (WBRT): A Single Institution's Three-Year Experience. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Chung D, Lee J, Yoo S, Choo M, Cho M, Son H, Jeong H. Role of neutrophil-to-lymphocytes ratio in predicting non-complete response at 3 months evaluation after BCG induction in non-muscle invasive bladder cancer. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02587-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Christensen R, Harikumar V, Dirr M, Anvery N, Brieva J, Yoo S, Alam M. 244 Risk factors for post-operative surgical site infections: A case-control study. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Yoo S, Kim S, Kim J. T078 Evaluation of the new Beckman Coulter access HS-TNI: 99th Percentile upper reference limits according to age and sex in the Korean population. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Jung N, Kong T, Yu Y, Park H, Lee E, Yoo S, Baek S, Lee S, Kang KS. Immunomodulatory Effect of Epidermal Growth Factor Secreted by Human Umbilical Cord Blood-Derived Mesenchymal Stem Cells on Atopic Dermatitis. Int J Stem Cells 2022; 15:311-323. [PMID: 35220283 PMCID: PMC9396020 DOI: 10.15283/ijsc21173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/17/2021] [Accepted: 12/22/2021] [Indexed: 11/09/2022] Open
Abstract
Background and Objectives Human mesenchymal stem cells (MSCs) are emerging as a treatment for atopic dermatitis (AD), a chronic inflammatory skin disorder that affects a large number of people across the world. Treatment of AD using human umbilical cord blood-derived MSCs (hUCB-MSCs) has recently been studied. However, the mechanism underlying their effect needs to be studied continuously. Thus, the objective of this study was to investigate the immunomodulatory effect of epidermal growth factor (EGF) secreted by hUCB-MSCs on AD. Methods and Results To explore the mechanism involved in the therapeutic effect of MSCs for AD, a secretome array was performed using culture medium of hUCB-MSCs. Among the list of genes common for epithelium development and skin diseases, we focused on the function of EGF. To elucidate the effect of EGF secreted by hUCB-MSCs, EGF was downregulated in hUCB-MSCs using EGF-targeting small interfering RNA. These cells were then co-cultured with keratinocytes, Th2 cells, and mast cells. Depletion of EGF disrupted immunomodulatory effects of hUCB-MSCs on these AD-related inflammatory cells. In a Dermatophagoides farinae-induced AD mouse model, subcutaneous injection of hUCB-MSCs ameliorated gross scoring, histopathologic damage, and mast cell infiltration. It also significantly reduced levels of inflammatory cytokines including interleukin (IL)-4, tumor necrosis factor (TNF)-α, thymus and activation-regulated chemokine (TARC), and IL-22, as well as IgE levels. These therapeutic effects were significantly attenuated at all evaluation points in mice injected with EGF-depleted hUCB-MSCs. Conclusions EGF secreted by hUCB-MSCs can improve AD by regulating inflammatory responses of keratinocytes, Th2 cells, and mast cells.
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Affiliation(s)
- Namhee Jung
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - TaeHo Kong
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - Yeonsil Yu
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - Hwanhee Park
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - Eunjoo Lee
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - SaeMi Yoo
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - SongYi Baek
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - Seunghee Lee
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
| | - Kyung-Sun Kang
- Stem Cell and Regenerative Bioengineering Institute, Global R&D Center, Kangstem Biotech Co., Ltd., Seoul, Korea
- Adult Stem Cell Research Center, Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea
- Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea
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Park SK, Park DN, Kim YW, Yoo S, Kim WH, Lim YJ, Park JS, Jun JK, Kim JT. Colloid coload versus crystalloid coload to prevent maternal hypotension in women receiving prophylactic phenylephrine infusion during caesarean delivery: a randomised controlled trial. Int J Obstet Anesth 2021; 49:103246. [PMID: 35012809 DOI: 10.1016/j.ijoa.2021.103246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 11/16/2021] [Accepted: 12/12/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The optimal fluid strategy to prevent maternal hypotension during caesarean delivery remains unclear. This study aim was to compare the incidence of post-spinal anaesthesia hypotension in women receiving either colloid or crystalloid coload in the setting of prophylactic phenylephrine infusion during caesarean delivery. METHODS Healthy mothers undergoing elective caesarean delivery under spinal anaesthesia were randomised to receive a rapid intravenous coload with 6% hydroxyethyl starch 130/0.4 10 mL/kg (colloid group) or balanced crystalloid solution (Plasma Solution A) 10 mL/kg (crystalloid group) during spinal anaesthesia. All women had a prophylactic phenylephrine infusion initiated at 25 μg/min immediately after the subarachnoid block and titrated to systolic blood pressure using a standardised protocol. The primary outcome was the incidence of hypotension (systolic blood pressure <80% of baseline) until delivery. RESULTS The incidence of hypotension was 50% in the colloid group and 62% in the crystalloid group (absolute difference, -12% [95% CI -33% to 9%]; relative risk, 0.8 [95% CI 0.56 to 1.14]; P=0.314). No significant difference between groups was found in the number of hypotensive episodes (median 0.5 [IQR 0 to 1] vs 1 [0 to 2], P=0.132) or phenylephrine dose (675 [IQR 425 to 975] μg vs 750 [625 to 950] μg, P=0.109). The incidence of severe hypotension, symptomatic hypotension, bradycardia, nausea, and the neonatal outcomes were not significantly different. CONCLUSIONS This study found no benefit of colloid coload compared with crystalloid coload for preventing maternal hypotension in the presence of prophylactic phenylephrine infusion during caesarean delivery.
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Affiliation(s)
- S-K Park
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - D-N Park
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Y-W Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - S Yoo
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - W H Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Y-J Lim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - J S Park
- Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - J K Jun
- Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - J-T Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Patel A, Kong R, Sato T, Yoo S, Sinha A, Powell C, Zhu J, Watanabe H. FP12.11 Single-Cell RNA Sequencing Analyses Distinguishes Transcriptional Activity of c-Myc and L-Myc in Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Acharya A, Agarwal R, Baker M, Baudry J, Bhowmik D, Boehm S, Byler KG, Chen S, Coates L, Cooper C, Demerdash O, Daidone I, Eblen J, Ellingson S, Forli S, Glaser J, Gumbart JC, Gunnels J, Hernandez O, Irle S, Kneller D, Kovalevsky A, Larkin J, Lawrence T, LeGrand S, Liu SH, Mitchell J, Park G, Parks J, Pavlova A, Petridis L, Poole D, Pouchard L, Ramanathan A, Rogers D, Santos-Martins D, Scheinberg A, Sedova A, Shen Y, Smith J, Smith M, Soto C, Tsaris A, Thavappiragasam M, Tillack A, Vermaas J, Vuong V, Yin J, Yoo S, Zahran M, Zanetti-Polzi L. Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J Chem Inf Model 2020; 60:5832-5852. [PMID: 33326239 PMCID: PMC7754786 DOI: 10.1021/acs.jcim.0c01010] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 01/18/2023]
Abstract
We present a supercomputer-driven pipeline for in silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use of MD results by docking compound databases into representative protein binding-site conformations, thus taking into account the dynamic properties of the binding sites. We also describe preliminary results obtained for 24 systems involving eight proteins of the proteome of SARS-CoV-2. The MD involves temperature replica exchange enhanced sampling, making use of massively parallel supercomputing to quickly sample the configurational space of protein drug targets. Using the Summit supercomputer at the Oak Ridge National Laboratory, more than 1 ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to 10 configurations of each of the 24 SARS-CoV-2 systems using AutoDock Vina. Comparison to experiment demonstrates remarkably high hit rates for the top scoring tranches of compounds identified by our ensemble approach. We also demonstrate that, using Autodock-GPU on Summit, it is possible to perform exhaustive docking of one billion compounds in under 24 h. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and artificial intelligence (AI) methods to cluster MD trajectories and rescore docking poses.
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Affiliation(s)
- A. Acharya
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - R. Agarwal
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - M. Baker
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - J. Baudry
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899, USA
| | - D. Bhowmik
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - S. Boehm
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - K. G. Byler
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899, USA
| | - S.Y. Chen
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - L. Coates
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - C.J. Cooper
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - O. Demerdash
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - I. Daidone
- Department of Physical and Chemical Sciences, University of L’Aquila, I-67010 L’Aquila, Italy
| | - J.D. Eblen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - S. Ellingson
- University of Kentucky, Division of Biomedical Informatics, College of Medicine, UK Medical Center MN 150, Lexington KY, 40536, USA
| | - S. Forli
- Scripps Research, La Jolla, CA, 92037, USA
| | - J. Glaser
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - J. C. Gumbart
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - J. Gunnels
- HPC Engineering, Amazon Web Services, Seattle, WA 98121, USA
| | - O. Hernandez
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - S. Irle
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996, USA
| | - D.W. Kneller
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - A. Kovalevsky
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - J. Larkin
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - T.J. Lawrence
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - S. LeGrand
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - S.-H. Liu
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - J.C. Mitchell
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - G. Park
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - J.M. Parks
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - A. Pavlova
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - L. Petridis
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - D. Poole
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - L. Pouchard
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - A. Ramanathan
- Data Science and Learning Division, Argonne National Lab, Lemont, IL 60439, USA
| | - D. Rogers
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | | | | | - A. Sedova
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - Y. Shen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - J.C. Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - M.D. Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - C. Soto
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - A. Tsaris
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | | | | | - J.V. Vermaas
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - V.Q. Vuong
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996, USA
| | - J. Yin
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - S. Yoo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - M. Zahran
- Department of Biological Sciences, New York City College of Technology, The City University of New York (CUNY), Brooklyn, NY 11201, USA
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Moser BA, Steinhardt RC, Escalante-Buendia Y, Boltz DA, Barker KM, Cassaidy BJ, Rosenberger MG, Yoo S, McGonnigal BG, Esser-Kahn AP. Increased vaccine tolerability and protection via NF-κB modulation. Sci Adv 2020; 6:eaaz8700. [PMID: 32917696 DOI: 10.1126/sciadv.aaz8700] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 07/24/2020] [Indexed: 05/20/2023]
Abstract
Improving adjuvant responses is a promising pathway to develop vaccines against some pathogens (e.g., HIV or dengue). One challenge in adjuvant development is modulating the inflammatory response, which can cause excess side effects, while maintaining immune activation and protection. No approved adjuvants yet have the capability to independently modulate inflammation and protection. Here, we demonstrate a method to limit inflammation while retaining and often increasing the protective responses. To accomplish this goal, we combined a partial selective nuclear factor kappa B (NF-kB) inhibitor with several current adjuvants. The resulting vaccines reduce systemic inflammation and boost protective responses. In an influenza challenge model, we demonstrate that this approach enhances protection. This method was tested across a broad range of adjuvants and antigens. We anticipate these studies will lead to an alternative approach to vaccine formulation design that may prove broadly applicable to a wide range of adjuvants and vaccines.
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Affiliation(s)
- B A Moser
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA
| | - R C Steinhardt
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA
| | - Y Escalante-Buendia
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA
| | - D A Boltz
- Division of Microbiology and Molecular Biology, IIT Research Institute, Illinois Institute of Technology, 10W. 35th Street, Chicago, IL 60616, USA
| | - K M Barker
- Division of Microbiology and Molecular Biology, IIT Research Institute, Illinois Institute of Technology, 10W. 35th Street, Chicago, IL 60616, USA
| | - B J Cassaidy
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA
| | - M G Rosenberger
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA
| | - S Yoo
- Department of Chemistry, Chemical Engineering & Materials Science, Biomedical Engineering, University of California, Irvine, CA 92697, USA
| | - B G McGonnigal
- Department of Chemistry, Chemical Engineering & Materials Science, Biomedical Engineering, University of California, Irvine, CA 92697, USA
| | - A P Esser-Kahn
- Pritzker School for Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA.
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Acharya A, Agarwal R, Baker M, Baudry J, Bhowmik D, Boehm S, Byler KG, Coates L, Chen SY, Cooper CJ, Demerdash O, Daidone I, Eblen JD, Ellingson S, Forli S, Glaser J, Gumbart JC, Gunnels J, Hernandez O, Irle S, Larkin J, Lawrence TJ, LeGrand S, Liu SH, Mitchell JC, Park G, Parks JM, Pavlova A, Petridis L, Poole D, Pouchard L, Ramanathan A, Rogers D, Santos-Martins D, Scheinberg A, Sedova A, Shen S, Smith JC, Smith MD, Soto C, Tsaris A, Thavappiragasam M, Tillack AF, Vermaas JV, Vuong VQ, Yin J, Yoo S, Zahran M, Zanetti-Polzi L. Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. ChemRxiv 2020:12725465. [PMID: 33200117 PMCID: PMC7668744 DOI: 10.26434/chemrxiv.12725465] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 07/29/2020] [Indexed: 01/18/2023]
Abstract
We present a supercomputer-driven pipeline for in-silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. We also describe preliminary results obtained for 23 systems involving eight protein targets of the proteome of SARS CoV-2. THe MD performed is temperature replica-exchange enhanced sampling, making use of the massively parallel supercomputing on the SUMMIT supercomputer at Oak Ridge National Laboratory, with which more than 1ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to ten configurations of each of the 23 SARS CoV-2 systems using AutoDock Vina. We also demonstrate that using Autodock-GPU on SUMMIT, it is possible to perform exhaustive docking of one billion compounds in under 24 hours. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and AI methods to cluster MD trajectories and rescore docking poses.
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Affiliation(s)
- A Acharya
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - R Agarwal
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - M Baker
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - J Baudry
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899
| | - D Bhowmik
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
| | - S Boehm
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - K G Byler
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899
| | - L Coates
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
| | - S Y Chen
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - C J Cooper
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - O Demerdash
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - I Daidone
- Department of Physical and Chemical Sciences, University of L'Aquila, I-67010 L'Aquila, Italy
| | - J D Eblen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - S Ellingson
- University of Kentucky, Division of Biomedical Informatics, College of Medicine, UK Medical Center MN 150, Lexington KY, 40536
| | - S Forli
- Scripps Research, La Jolla, CA, 92037
| | - J Glaser
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - J C Gumbart
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - J Gunnels
- HPC Engineering, Amazon Web Services, Seattle, WA 98121
| | - O Hernandez
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S Irle
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996
| | - J Larkin
- NVIDIA Corporation, Santa Clara, CA 95051
| | - T J Lawrence
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S LeGrand
- NVIDIA Corporation, Santa Clara, CA 95051
| | - S-H Liu
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - J C Mitchell
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - G Park
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - J M Parks
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - A Pavlova
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - L Petridis
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - D Poole
- NVIDIA Corporation, Santa Clara, CA 95051
| | - L Pouchard
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - A Ramanathan
- Data Science and Learning Division, Argonne National Lab, Lemont, IL 60439
| | - D Rogers
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | | | | | - A Sedova
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S Shen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - J C Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - M D Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - C Soto
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - A Tsaris
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | | | | | - J V Vermaas
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - V Q Vuong
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996
| | - J Yin
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - S Yoo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - M Zahran
- Department of Biological Sciences, New York City College of Technology, The City University of New York (CUNY), Brooklyn, NY 11201
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Yoo S, Oh S, Yun J, Kwon O, Suh J, Park J, Choo M, Cho M, Jeong H, Won S, Son H. Optimal high-density lipoprotein cholesterol level for decreasing benign prostatic hyperplasia in men not taking statin medication: A historical cohort study. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33357-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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15
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Suh J, Koh Y, Yoo S, Kwon O, Park J, Choo M, Cho S, Cho M, Son H, Jeong H. Development and validation of ensemble machine-learning based web-embedded decision supporting tool for prostate biopsy. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)32669-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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16
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Suh J, Lee J, Yoo S, Park J, Son H, Jeong H, Kim S, Paick J, Cho M. Restoration of cavernosal veno-occlusive function through chronic administration of both a JNK inhibitor and a LIMK2 inhibitor in a rat model of cavernosal nerve injury: A comparison with a PDE5 inhibitor. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33221-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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17
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Cust AE, Badcock C, Smith J, Thomas NE, Haydu LE, Armstrong BK, Law MH, Thompson JF, Kanetsky PA, Begg CB, Shi Y, Kricker A, Orlow I, Sharma A, Yoo S, Leong SF, Berwick M, Ollila DW, Lo S. A risk prediction model for the development of subsequent primary melanoma in a population-based cohort. Br J Dermatol 2020; 182:1148-1157. [PMID: 31520533 PMCID: PMC7069770 DOI: 10.1111/bjd.18524] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND Guidelines for follow-up of patients with melanoma are based on limited evidence. OBJECTIVES To guide skin surveillance, we developed a risk prediction model for subsequent primary melanomas, using demographic, phenotypical, histopathological, sun exposure and genomic risk factors. METHODS Using Cox regression frailty models, we analysed data for 2613 primary melanomas from 1266 patients recruited to the population-based Genes, Environment and Melanoma study in New South Wales, Australia, with a median of 14 years' follow-up via the cancer registry. Discrimination and calibration were assessed. RESULTS The median time to diagnosis of a subsequent primary melanoma decreased with each new primary melanoma. The final model included 12 risk factors. Harrell's C-statistic was 0·73 [95% confidence interval (CI) 0·68-0·77], 0·65 (95% CI 0·62-0·68) and 0·65 (95% CI 0·61-0·69) for predicting second, third and fourth primary melanomas, respectively. The risk of a subsequent primary melanoma was 4·75 times higher (95% CI 3·87-5·82) for the highest vs. the lowest quintile of the risk score. The mean absolute risk of a subsequent primary melanoma within 5 years was 8·0 ± SD 4.1% after the first primary melanoma, and 46·8 ± 15·0% after the second, but varied substantially by risk score. CONCLUSIONS The risk of developing a subsequent primary melanoma varies considerably between individuals and is particularly high for those with two or more primary melanomas. The risk prediction model and its associated nomograms enable estimation of the absolute risk of subsequent primary melanoma, on the basis of on an individual's risk factors, and can be used to tailor surveillance intensity, communicate risk and provide patient education. What's already known about this topic? Current guidelines for the frequency and length of follow-up to detect new primary melanomas in patients with one or more previous primary melanomas are based on limited evidence. People with one or more primary melanomas have, on average, a higher risk of developing another primary invasive melanoma, compared with the general population, but an accurate way of estimating individual risk is needed. What does this study add? We provide a comprehensive risk prediction model for subsequent primary melanomas, using data from 1266 participants with melanoma (2613 primary melanomas), over a median 14 years' follow-up. The model includes 12 risk factors comprising demographic, phenotypical, histopathological and genomic factors, and sun exposure. It enables estimation of the absolute risk of subsequent primary melanomas, and can be used to tailor surveillance intensity, communicate individual risk and provide patient education.
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Affiliation(s)
- A E Cust
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, The University of Sydney, Sydney, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, Australia
| | - C Badcock
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - J Smith
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - N E Thomas
- Lineberger Comprehensive Cancer Center, Chapel Hill, NC, U.S.A
- Department of Dermatology, University of North Carolina, Chapel Hill, NC, U.S.A
| | - L E Haydu
- University of Texas MD Anderson Cancer Center, Houston, TX, U.S.A
| | - B K Armstrong
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - M H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - J F Thompson
- Melanoma Institute Australia, The University of Sydney, Sydney, Australia
| | - P A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, U.S.A
| | - C B Begg
- Department of Dermatology, University of North Carolina, Chapel Hill, NC, U.S.A
| | - Y Shi
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM, U.S.A
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, U.S.A
| | - A Kricker
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - I Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, U.S.A
| | - A Sharma
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, U.S.A
| | - S Yoo
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, U.S.A
| | - S F Leong
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, U.S.A
| | - M Berwick
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM, U.S.A
| | - D W Ollila
- Lineberger Comprehensive Cancer Center, Chapel Hill, NC, U.S.A
- Department of Surgery, University of North Carolina, Chapel Hill, NC, U.S.A
| | - S Lo
- Melanoma Institute Australia, The University of Sydney, Sydney, Australia
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18
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Oh YS, Lee J, Choi DY, Lee H, Kang K, Yoo S, Park I, Sung HJ. Selective multi-nanosoldering for fabrication of advanced solution-processed micro/nanoscale metal grid structures. Sci Rep 2020; 10:6782. [PMID: 32321964 PMCID: PMC7176656 DOI: 10.1038/s41598-020-63695-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/29/2020] [Indexed: 11/16/2022] Open
Abstract
Solution-processed metal grid transparent conductors with low sheet resistance, high optical transmittance and good mechanical flexibility have great potential for use in flexible optoelectronic devices. However, there are still remaining challenges to improve optoelectrical properties and electromechanical stability of the metallic structures due to random loose packings of nanoparticles and the existence of many pores. Here we introduce a selective multi-nanosoldering method to generate robust metallic layers on the thin metal grid structures (< a thickness of 200 nm), which are generated via self-pining assisted direct inking of silver ions. The selective multi-nanosoldering leads to lowering the sheet resistance of the metal grid transparent conductors, while keeping the optical transmittance constant. Also, it reinforces the electromechanical stability of flexible metal grid transparent conductors against a small bending radius or a repeated loading. Finally, organic light-emitting diodes based on the flexible metal grid transparent conductors are demonstrated. Our approach can open a new route to enhance the functionality of metallic structures fabricated using a variety of solution-processed metal patterning methods for next-generation optoelectronic and micro/nanoelectronic applications.
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Affiliation(s)
- Y S Oh
- Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - J Lee
- School of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - D Y Choi
- Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - H Lee
- School of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - K Kang
- Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - S Yoo
- School of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
| | - I Park
- Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea.
| | - H J Sung
- Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea.
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19
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Yoo S, Suh J, Park J, Cho S, Jeong H, Son H, Oh S, Paick J, Cho M. 329 Does Preoperative Bladder Compliance Affect Long-term Functional Outcomes after Laser Prostatectomy? J Sex Med 2020. [DOI: 10.1016/j.jsxm.2019.11.149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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20
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Yoo S, Sheng Y, Blitzblau R, Suneja G, O'Neill L, Morrison J, Catalano S, Yin F, Wu Q. Implementation of Machine Learning-Based Treatment Planning Tool for Whole Breast Radiotherapy Using Irregular Surface Compensator Technique. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Kim W, Hur M, Park SK, Yoo S, Lim T, Yoon H, Kim JT, Bahk JH. Comparison between general, spinal, epidural, and combined spinal-epidural anesthesia for cesarean delivery: a network meta-analysis. Int J Obstet Anesth 2019; 37:5-15. [DOI: 10.1016/j.ijoa.2018.09.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/12/2018] [Accepted: 09/21/2018] [Indexed: 12/18/2022]
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22
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Fassah D, Kang H, Beak S, Jung D, Jeong I, Na S, Yoo S, Kim H, Baik M. PSXVI-7 Effect of glycerol supplementation on growth performance, carcass characteristics and beef sensory traits during finishing period of Korean cattle steers. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- D Fassah
- Seoul National University,Seoul, South Korea
| | - H Kang
- Seoul National University,Seoul, South Korea
| | - S Beak
- Seoul National University,Seoul, South Korea
| | - D Jung
- Seoul National University, Seoul-t’ukpyolsi, South Korea
| | - I Jeong
- Seoul National University, Seoul-t’ukpyolsi, South Korea
| | - S Na
- Seoul National University, Seoul-t’ukpyolsi, South Korea
| | - S Yoo
- Seoul National University, Seoul-t’ukpyolsi, South Korea
| | - H Kim
- Seoul National University, Seoul-t’ukpyolsi, South Korea
| | - M Baik
- Seoul National University, Seoul-t’ukpyolsi, South Korea
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Park S, Kim H, Piao M, Kang H, Fassah D, Jung D, Kim S, Na S, Beak S, Jeong I, Yoo S, Hong S, Lee S, Baik M. PSXII-34 Effects of genomic estimated breeding value (GEBV) of marbling score and dietary energy level on growth performance during fattening stage of Korean cattle steers. J Anim Sci 2018; 96:431-432. [PMCID: PMC6286004 DOI: 10.1093/jas/sky404.945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024] Open
Affiliation(s)
- S Park
- Seoul National University,Seoul, South Korea
| | - H Kim
- Seoul National University,Seoul-t’ukpyolsi,Republic of Korea
| | - M Piao
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - H Kang
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - D Fassah
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - D Jung
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Kim
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Na
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Beak
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - I Jeong
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Yoo
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Hong
- Seoul National University,Seoul-t’ukpyolsi,South Korea
| | - S Lee
- Chungnam National University,Daejeon, South Korea
| | - M Baik
- Seoul National University,Seoul-t’ukpyolsi,South Korea
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Yoo S, Todor D, Myers J, Kaplan B, Fields E. Widening the Therapeutic Window using an Implantable, Unidirectional LDR Brachytherapy Sheet as a Boost in Pancreatic Cancer. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Yoo S, Todor D, Kaplan B, Myers J, Fields E. First Report of the Permanently Implantable Uni-Directional Planar LDR Brachytherapy for Patients with Locally Advanced Pancreatic Cancer. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Abstract
Graphene can acquire salient properties by the intercalated nano structures, and to functionalize the graphene as designed, understanding the growth kinetics of the nano structures is a prerequisite. In that regards, Kr atoms are selectively intercalated just below the surface graphene of C(0001) by the incidence of low energy Kr ions. The growth kinetics of the encapsulated Kr nano structures is investigated by both scanning tunneling microscopy and molecular dynamics simulations. The intercalation proceeds via defect sites, such as surface vacancies. At room temperature, the thermal diffusion of intercalated Kr is almost frustrated by the strain field of the encapsulating graphene layers, and the growth of Kr nano structures proceeds via the transient mobility of both the intercalating Kr atoms and previously intercalated Kr atoms that are mobilized by collision with the incident Kr ions. At the elevated temperatures where thermal diffusion becomes effective, some Kr nano structures disappear, releasing pressurized Kr atoms, while others coalesce to form blisters via the delamination of the adjacent graphene. Some of the larger blisters explode to leave craters of varying depths at the surface. In contrast to growth on the substrate, the growth of each encapsulated nano structure depends significantly on extrinsic variables, such as surface vacancies and local topography around the nano structure, that affect the Kr diffusion and limit the maximal Kr pressure.
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Affiliation(s)
- S Yoo
- Department of Physics, Sook-Myung Women's University, Seoul 04310, Republic of Korea
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Charaghvandi KR, Van't Westeinde T, Yoo S, Houweling AC, Rodrigues A, Verkooijen HM, Philippens MEP, van Asselen B, Horton JK, van den Bongard HJGD. Single dose partial breast irradiation using an MRI linear accelerator in the supine and prone treatment position. Clin Transl Radiat Oncol 2018; 14:1-7. [PMID: 30406210 PMCID: PMC6215022 DOI: 10.1016/j.ctro.2018.09.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/20/2018] [Accepted: 09/03/2018] [Indexed: 11/25/2022] Open
Abstract
Background In selected patients with early-stage and low-risk breast cancer, an MRI-linac based treatment might enable a radiosurgical, non-invasive alternative for current standard breast conserving therapy. Aim To investigate whether single dose accelerated partial breast (APBI) to the intact tumor in both the prone and supine radiotherapy positions on the MRI-linac is dosimetrically feasible with respect to predefined coverage and organs at risk (OAR) constraints. Material & methods For 20 patients with cTis or low-risk cT1N0M0 non-lobular breast carcinoma, previously treated with single dose preoperative APBI in the supine (n = 10) or prone (n = 10) position, additional intensity modulated radiotherapy plans with 7 coplanar beams in the presence of a 1.5T magnetic field were generated. A 20 Gy and 15 Gy dose was prescribed to the gross tumor and clinical target volume, respectively. The percentage of plans achieving predefined organ at risk (OAR) constraints, currently used in clinical practice, was assessed. Dosimetry differences between the prone versus supine approach and the MRI-linac versus clinically delivered plans were evaluated. Results All MRI-linac plans met the coverage and predefined OAR constraints. The prone approach appeared to be more favorable with respect to the chest wall, and ipsilateral lung dose compared to the supine position. No dosimetric differences were observed for the ipsilateral breast. No treatment position was clearly more beneficial for the skin or heart, since dosimetry varied among parameters. Overall, the MRI-linac and clinical plans were comparable, with minor absolute dosimetric differences. Conclusion MRI-linac based single dose APBI to the intact tumor is a promising and a dosimetrically feasible strategy in patients with low-risk breast cancer. Preliminary OAR dosimetry favored the prone radiotherapy position.
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Affiliation(s)
- K R Charaghvandi
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Van't Westeinde
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S Yoo
- Department of Radiation Oncology, Duke Cancer Center, Durham, United States
| | - A C Houweling
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A Rodrigues
- Department of Radiation Oncology, Duke Cancer Center, Durham, United States
| | - H M Verkooijen
- Imaging Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M E P Philippens
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B van Asselen
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J K Horton
- Department of Radiation Oncology, Duke Cancer Center, Durham, United States
| | - H J G D van den Bongard
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
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Yoo S, Song W, Park J, Cho S, Cho M, Kim S, Paick JS, Son H. 714 Increased prevalence of premature ejaculation on a 10-year interval web-based survey. J Sex Med 2018. [DOI: 10.1016/j.jsxm.2018.04.623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kim WH, Hur M, Park SK, Jung DE, Kang P, Yoo S, Bahk JH. Pharmacological interventions for protecting renal function after cardiac surgery: a Bayesian network meta-analysis of comparative effectiveness. Anaesthesia 2018; 73:1019-1031. [DOI: 10.1111/anae.14227] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/02/2018] [Indexed: 12/25/2022]
Affiliation(s)
- W. H. Kim
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - M. Hur
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - S.-K. Park
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - D. E. Jung
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - P. Kang
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - S. Yoo
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
| | - J.-H. Bahk
- Department of Anesthesiology and Pain Medicine; Seoul National University Hospital; Seoul Korea
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Sheng Y, Li T, Yoo S, Yin F, Blitzblau R, Horton J, Palta M, Ge Y, Wu Q. PO-0908: Developing Whole Breast Radiotherapy Automatic-Planning System using Beamlet Feature based Model. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)31218-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Park SK, Hur M, Yoo S, Choi JY, Kim WH, Kim JT, Bahk JH. Effect of remote ischaemic preconditioning in patients with ischaemic heart disease undergoing orthopaedic surgery: a randomized controlled trial. Br J Anaesth 2017; 120:198-200. [PMID: 29397131 DOI: 10.1016/j.bja.2017.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 08/22/2017] [Accepted: 09/19/2017] [Indexed: 12/27/2022] Open
Affiliation(s)
- S-K Park
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - M Hur
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - S Yoo
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - J-Y Choi
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - W H Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
| | - J-T Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - J-H Bahk
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Xie T, Ge Y, Kirkpatrick J, Yoo S, Yin F, Wu Q. An Efficient Tool for Structure Label Harmonization. Int J Radiat Oncol Biol Phys 2017. [DOI: 10.1016/j.ijrobp.2017.06.2382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Xia N, Yoo S. Mode instability in ytterbium-doped non-circular fibers. Opt Express 2017; 25:13230-13251. [PMID: 28788859 DOI: 10.1364/oe.25.013230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 05/23/2017] [Indexed: 06/07/2023]
Abstract
We present a theoretical study of transverse mode instability (TMI) in non-circular ytterbium-doped fibers including the rectangular core in a circular or D-shaped cladding. The D-shaped cladding is found efficient to suppress the TMI thanks to better heat dissipation, as compared to the circular cladding. However, the rectangular core does not suppress the TMI despite its better heat dissipation than a circular core counterpart. Although the temperature built in the rectangular core decreases with an increasing aspect ratio of the rectangular core, the low temperature does not benefit the TMI suppression. Instead, the TMI becomes stronger than its circular core counterpart. Our study reveals that the power coupling between two involved modes and gain saturation effect play a significant role in influencing the TMI. The power coupling strength is associated with the frequency offset between two modes, and it grows with an increasing aspect ratio of rectangular cores, suggesting the longer axis of rectangular core promotes the TMI.
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Charaghvandi K, Yoo S, Van Asselen B, Den Hartogh M, Van den Bongard H, Horton J. OC-0316: Single dose external beam preoperative radiotherapy in breast cancer: experience and guidelines. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)30758-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Van 't Westeinde T, Charaghvandi K, Horton J, Yoo S, Scholten V, Van Asselen B, Van den Bongard H. EP-1546: MR-Linac based single fraction ablative radiotherapy for early-stage breast cancer: a planning study. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)31981-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Lee E, Park N, Oh Y, Yoo S, Lee H, Lee J, Kim Y. 728 3D Multi-photon imaging for evaluating the anti-aging efficacy of Paeonia Albiflora extract on UV-irradiated fibroblasts in a collagen matrix. J Invest Dermatol 2017. [DOI: 10.1016/j.jid.2017.02.752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Jain D, Sidharthan R, Moselund PM, Yoo S, Ho D, Bang O. Record power, ultra-broadband supercontinuum source based on highly GeO 2 doped silica fiber. Opt Express 2016; 24:26667-26677. [PMID: 27857397 DOI: 10.1364/oe.24.026667] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
We demonstrate highly germania doped fibers for mid-infrared supercontinuum generation. Experiments ensure a highest output power of 1.44 W for a broadest spectrum from 700 nm to 3200 nm and 6.4 W for 800 nm to 2700 nm from these fibers, while being pumped by a broadband Erbium-Ytterbium doped fiber based master oscillator power amplifier. The effect of repetition frequency of pump source and length of germania-doped fiber has also been investigated. Further, germania doped fiber has been pumped by conventional supercontinuum source based on silica photonic crystal fiber supercontinuum source. At low power, a considerable broadening of 200-300 nm was observed. Further broadening of spectrum was limited due to limited power of pump source. Our investigations reveal the unexploited potential of germania doped fiber for mid-infrared supercontinuum generation. These measurements ensure the potential of germania based photonic crystal fiber or a step-index fiber supercontinuum source for high power ultra-broad band emission being by pumped a 1060 nm or a 1550 nm laser source. To the best of our knowledge, this is the record power, ultra-broadband, and all-fiberized supercontinuum light source based on silica and germania fiber ever demonstrated to the date.
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Sheng Y, Li T, Yoo S, Yin F, Blitzblau R, Horton J, Palta M, Hahn C, Ge Y, Wu Q. Development of an Ultra-Fast, High-Quality Whole-Breast Radiation Therapy Treatment Planning System. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2016.06.566] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Das L, Teh K, Tanya M, Yoo S, Tan J, Choo J, Tan T, Arkachaisri T. SAT0273 Corticosteroids as Rescue Therapy for Resistant Kawasaki Disease. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.5617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Sheng Y, Li T, Yoo S, Yin F, Blitzblau R, Horton J, Palta M, Hahn C, Ge Y, Wu Q. WE-AB-209-05: Development of an Ultra-Fast High Quality Whole Breast Radiotherapy Treatment Planning System. Med Phys 2016. [DOI: 10.1118/1.4957774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Furie R, Merrill J, Werth V, Khamashta M, Kalunian K, Brohawn P, Illei G, Drappa J, Wang L, Yoo S. OP0291 Anifrolumab, An Anti-Interferon-Alpha Receptor Monoclonal Antibody, in Moderate To Severe Systemic Lupus Erythematosus (SLE). Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.3919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Cho H, Jeong SH, Park MH, Kim YH, Wolf C, Lee CL, Heo JH, Sadhanala A, Myoung N, Yoo S, Im SH, Friend RH, Lee TW. Overcoming the electroluminescence efficiency limitations of perovskite light-emitting diodes. Science 2015; 350:1222-5. [DOI: 10.1126/science.aad1818] [Citation(s) in RCA: 2021] [Impact Index Per Article: 224.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 10/22/2015] [Indexed: 11/02/2022]
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Yoo S, Horton J, Yin F, Blitzblau R. Dosimetric Effect of the Prone Breast Board and the Couch Top for Whole-Breast Treatment in Prone Position. Int J Radiat Oncol Biol Phys 2015. [DOI: 10.1016/j.ijrobp.2015.07.2105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Chungsomprasong P, Hamilton R, Fatah M, Seed M, Manlhiot C, Yoo S, McCrindle B, Grosse-Wortmann L. PRESENTATION AND DISEASE PROGRESSION OF CHILDREN AND ADOLESCENTS EVALUATED FOR ARRHYTHMOGENIC RIGHT VENTRICULAR CARDIOMYOPATHY. Can J Cardiol 2015. [DOI: 10.1016/j.cjca.2015.07.399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Tremblay C, Yoo S, Mertens L, Jacques F, Greenway S, Caldarone C, Coles J, Grosse-Wortmann L. COMPARISON OF THE SUTURELESS REPAIR TO THE CLASSICAL APPROACH FOR PULMONARY VEIN PATHOLOGIES: A PROSPECTIVE PILOT STUDY USING CARDIAC MAGNETIC RESONANCE. Can J Cardiol 2015. [DOI: 10.1016/j.cjca.2015.07.452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Lacouture M, Guillen J, Kudchadkar R, Rogers G, Olencki T, Tang J, Yoo S, Dawson K, Mun Y, Sekulic A. 3332 Real-world treatment of vismodegib (VISMO)-related adverse events (AEs) in patients with locally advanced basal cell carcinoma: Report from the RegiSONIC Disease Registry Study. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31850-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Yoo S, Ghafoor K, Kim S, Sun Y, Kim J, Yang K, Lee DU, Shahbaz H, Park J. Inactivation of pathogenic bacteria inoculated onto a Bacto™agar model surface using TiO2-UVC photocatalysis, UVC and chlorine treatments. J Appl Microbiol 2015; 119:688-96. [DOI: 10.1111/jam.12877] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 05/28/2015] [Accepted: 06/14/2015] [Indexed: 12/30/2022]
Affiliation(s)
- S. Yoo
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - K. Ghafoor
- Department of Food Science and Nutrition; King Saud University; Riyadh Saudi Arabia
| | - S. Kim
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - Y.W. Sun
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - J.U. Kim
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - K. Yang
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - D.-U. Lee
- Department of Food Science and Technology; Chung-Ang University; Anseong Korea
| | - H.M. Shahbaz
- Department of Biotechnology; Yonsei University; Seoul Korea
| | - J. Park
- Department of Biotechnology; Yonsei University; Seoul Korea
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Yoo S. Forget catheters: the role of CTA of the coronaries. ROFO-FORTSCHR RONTG 2015. [DOI: 10.1055/s-0035-1550950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Yoo S, Blitzblau R, Yin F, Horton J. Delivered Dose for Preoperative Single Fraction Partial Breast Radiation Therapy. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Guo X, Higgs B, Bay-Jensen AC, Morehouse C, Liu Z, Wang L, Yoo S, Karsdal M, Yao Y, Roskos L, White W. OP0238 Suppression of T Cell Activation and Collagen Accumulation by an Anti-Type I Interferon Receptor Monoclonal Antibody in Adult Subjects with Systemic Sclerosis. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2014-eular.2420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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