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Møller-Bisgaard S, Hørslev-Petersen K, Ørnbjerg LM, Ejbjerg B, Hetland ML, Møller JM, Nielsen SM, Glinatsi D, Boesen M, Stengaard-Pedersen K, Madsen OR, Jensen B, Villadsen JA, Hauge EM, Hendricks O, Lindegaard H, Krogh NS, Jurik AG, Thomsen H, Christensen R, Østergaard M. Long-term efficacy of a 2-year MRI treat-to-target strategy on disease activity and radiographic progression in patients with rheumatoid arthritis in clinical remission: 5-year follow-up of the IMAGINE-RA randomised trial. RMD Open 2024; 10:e003945. [PMID: 38490697 PMCID: PMC10946351 DOI: 10.1136/rmdopen-2023-003945] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/13/2024] [Indexed: 03/17/2024] Open
Abstract
OBJECTIVE To investigate whether a 2-year MRI treat-to-target strategy targeting the absence of osteitis combined with clinical remission, compared with a conventional treat-to-target strategy targeting clinical remission only (IMAGINE-rheumatoid arthritis (RA) trial) improves clinical and radiographic outcomes over 5 years in patients with RA in clinical remission. METHODS IMAGINE-more was an observational extension study of the original 2-year IMAGINE-RA randomised trial (NCT01656278). Clinical examinations and radiographs (hands and feet) were obtained yearly. Prespecified coprimary outcomes at year 5 were Disease Activity Score in 28 joints C reactive protein (DAS28-CRP) remission rate (DAS28-CRP<2.6) and no radiographic progression (van der Heijde-modified Sharp score (vdHSS) ≤0) from baseline. Secondary outcomes included 5-year changes in radiographic, MRI and clinical measures of disease activity and physical function. RESULTS In total 131 patients, 86 women (67%), mean age 61.2, disease duration 9.5 years, median baseline DAS28-CRP 1.9 (IQR 1.6-2.2) and vdHSS 16.0 (IQR 7.0-36.0) were included in the study; 59 (59%) patients from the original MRI treat-to-target group and 72 (72%) from the conventional group. At year 5, 47 patients (80%) in the MRI treat-to-target group vs 54 patients (75%) in the conventional treat-to-target group were in DAS28-CRP remission (OR 2.00 (95% CI 0.76 to 5.28); p=0.16) while 14 patients (24%) vs 19 patients (26%) had no radiographic progression (OR 0.70, (95% CI 0.28 to 1.71); p=0.43). CONCLUSION A 2-year combined MRI and clinical treat-to-target strategy, compared with a conventional clinical treat-to-target strategy alone, had no effect on the long-term probability of achieving DAS28-CRP remission and of avoiding radiographic progression.
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Affiliation(s)
- Signe Møller-Bisgaard
- Department of Rheumatology, Slagelse Hospital, Slagelse, Denmark
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Kim Hørslev-Petersen
- Department of Rheumatology, Sønderborg Sygehus, Sønderborg, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Lykke Midtbøll Ørnbjerg
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Bo Ejbjerg
- Department of Rheumatology, Slagelse Hospital, Slagelse, Denmark
| | - Merete Lund Hetland
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | | | - Sabrina Mai Nielsen
- Section for Biostatistics and Evidence-Based Research, The Parker Institute, Copenhagen, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Daniel Glinatsi
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark
- Department of Rheumatology, Skaraborg Hospital Skövde, Skövde, Sweden
| | - Mikael Boesen
- Department of Radiology, Bispebjerg Hospital, Copenhagen, Denmark
| | - Kristian Stengaard-Pedersen
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ole Rintek Madsen
- Department of Rheumatology, Gentofte University Hospital, Hellerup, Denmark
| | - Bente Jensen
- Department of Rheumatology, Frederiksberg University Hospital, Frederiksberg, Denmark
| | | | - Ellen Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Oliver Hendricks
- Department of Rheumatology, Sønderborg Sygehus, Sønderborg, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Hanne Lindegaard
- Department of Rheumatology, Odense University Hospital, Odense, Denmark
| | | | - Anne Grethe Jurik
- Department of Radiology, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Thomsen
- Department of Radiology, Herlev Hospital, Herlev, Denmark
| | - Robin Christensen
- Section for Biostatistics and Evidence-Based Research, The Parker Institute, Copenhagen, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mikkel Østergaard
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
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Sønderby AH, Thomsen H, Skals RG, Storm S, Leutscher PDC, Simony A. Thoracic spine X-ray examination of patients with back pain using different breathing technique and exposure times - A diagnostic study. Radiography (Lond) 2024; 30:582-588. [PMID: 38310658 DOI: 10.1016/j.radi.2024.01.011] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 01/04/2024] [Accepted: 01/14/2024] [Indexed: 02/06/2024]
Abstract
INTRODUCTION The breathing and suspended inspiration techniques are often used interchangeably for spine X-ray examinations. However, these techniques are not always adequately supported by clinical evidence. This study aimed to determine the two techniques' diagnostic value and adverse image outcomes. METHODS A total of 400 participants were examined on a Siemens Ysio Max system and randomized into four examination groups: suspended inspiration or breathing techniques with exposure times of 1, 2, and 3.2 s, respectively. Two consultant radiologists conducted the evaluation of the X-ray images. If disagreement was present, the radiologists collaboratively reviewed the X-ray images until a consensus was reached. RESULTS The final 394 study population comprised 275 women and 119 men with a mean age of 64 years (range:18-96 years). The proportions of visually sharp reproduction of the endplates and trabecular structures did not differ significantly with regards to differences in exposure times between groups. The breathing technique groups had significantly higher proportions of blurring and motion artifacts (p < 0.001). However, adverse image outcomes (motions artifacts) were significantly lower in the 1-s exposure group. CONCLUSIONS The suspended inspiration and breathing techniques performed equally well regarding visually sharp reproduction. However, the suspended inspiration technique was superior to the breathing technique. regarding adverse image outcomes, although the latter could be improved by using a shorter exposure time. IMPLICATIONS FOR PRACTICE The suspended inspiration and breathing technique appeared to perform at equal diagnostic levels. The suspended inspiration technique should be preferred due to its reduced risk of adverse image outcomes. However, the risk could also be reduced using a short exposure time with the breathing technique.
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Affiliation(s)
- A H Sønderby
- Department of X-ray Physics North Denmark, Aalborg University Hospital, Merkurvej 13, 9700 Brønderslev, Denmark.
| | - H Thomsen
- Department of Radiology, North Denmark Regional Hospital, Barfredsvej 83, 9900 Frederikshavn, Denmark.
| | - R G Skals
- Unit of Clinical Biostatistics, Sdr. Skovvej 15, 9000 Aalborg, Denmark.
| | - S Storm
- Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9100 Aalborg, Denmark.
| | - P D C Leutscher
- Centre for Clinical Research North Denmark Regional Hospital & Department of Clinical Medicine, Aalborg University Hospital, Bispensgade 37, 9800 Hjørrring, Denmark.
| | - A Simony
- Department of Orthopedic Surgery, The Region of Southern Denmark University Hospital, Sygehusvej 24, 6000 Kolding, Denmark.
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Büschel C, Kleiber R, Könies A, Drevlak M, Borchardt M, Rahbarnia K, Thomsen H, Vaz Mendes S, Brandt C, Knauer J, Brunner KJ. Synthetic Mirnov diagnostic for the validation of experimental observations. Rev Sci Instrum 2024; 95:023506. [PMID: 38391285 DOI: 10.1063/5.0190619] [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] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 01/24/2024] [Indexed: 02/24/2024]
Abstract
A synthetic Mirnov diagnostic has been developed to investigate the capabilities and limitations of an arrangement of Mirnov coils in terms of a mode analysis. Eight test cases have been developed, with different coil arrangements and magnetic field configurations. Three of those cases are experimental configurations of the stellarator Wendelstein 7-X. It is observed that, for a high triangularity of the flux surfaces, the arrangement of the coils plays a significant role in the exact determination of the poloidal mode number. For the mode analysis, torus and magnetic coordinates have been used. In most cases, the reconstruction of the poloidal mode number of a prescribed mode was found to be more accurate in magnetic coordinates. As an application, the signal of an Alfvén eigenmode, which has been calculated with a three-dimensional magnetohydrodynamics code, is compared to experimental observations at Wendelstein 7-X. For the chosen example, the calculated and measured mode spectra agree very well and additional information on the toroidal mode number and localization of the mode has been inferred.
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Affiliation(s)
- C Büschel
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - R Kleiber
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - A Könies
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - M Drevlak
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - M Borchardt
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - K Rahbarnia
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - H Thomsen
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - S Vaz Mendes
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - C Brandt
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - J Knauer
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
| | - K J Brunner
- Max-Planck Institute for Plasma Physics, EURATOM Association, 17491 Greifswald, Germany
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Mallagaray A, Rudolph L, Lindloge M, Mölbitz J, Thomsen H, Schmelter F, Alhabash MW, Abdullah MR, Saraei R, Ehlers M, Graf T, Sina C, Petersmann A, Nauck M, Günther UL. Towards a Precise NMR Quantification of Acute Phase Inflammation Proteins from Human Serum. Angew Chem Int Ed Engl 2023; 62:e202306154. [PMID: 37341676 DOI: 10.1002/anie.202306154] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 06/22/2023]
Abstract
Nuclear Magnetic Resonance (NMR) spectra of human serum and plasma show, besides metabolites and lipoproteins, two characteristic signals termed GlycA and B arising from the acetyl groups of glycoprotein glycans from acute phase proteins, which constitute good markers for inflammatory processes. Here, we report a comprehensive assignment of glycoprotein glycan NMR signals observed in human serum, showing that GlycA and GlycB signals originate from Neu5Ac and GlcNAc moieties from N-glycans, respectively. Diffusion-edited NMR experiments demonstrate that signal components can be associated with specific acute phase proteins. Conventionally determined concentrations of acute phase glycoproteins correlate well with distinct features in NMR spectra (R2 up to 0.9422, p-value <0.001), allowing the simultaneous quantification of several acute phase inflammation proteins. Overall, a proteo-metabolomics NMR signature of significant diagnostic potential is obtained within 10-20 min acquisition time. This is exemplified in serum samples from COVID-19 and cardiogenic shock patients showing significant changes in several acute phase proteins compared to healthy controls.
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Affiliation(s)
- Alvaro Mallagaray
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Lorena Rudolph
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Melissa Lindloge
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Jarne Mölbitz
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Henrik Thomsen
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Franziska Schmelter
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Mohamad Ward Alhabash
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Mohammed R Abdullah
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
| | - Roza Saraei
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Marc Ehlers
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Tobias Graf
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Christian Sina
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Mönkhofer Weg 239 a, 23538, Lübeck, Germany
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, Carl von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Ulrich L Günther
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
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Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Leal Rodríguez C, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, 't Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, Banasik K, Rasmussen S, Brunak S. Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models. Nat Biotechnol 2023; 41:1026. [PMID: 37130959 PMCID: PMC10344774 DOI: 10.1038/s41587-023-01805-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Affiliation(s)
- Rosa Lundbye Allesøe
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Agnete Troen Lundgaard
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ricardo Hernández Medina
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alejandro Aguayo-Orozco
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Joachim Johansen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Jakob Nybo Nissen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Gianluca Mazzoni
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lili Niu
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jorge Hernansanz Biel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Cristina Leal Rodríguez
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valentas Brasas
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henry Webel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Eriksen Benros
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders Gorm Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Piotr Jaroslaw Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ulrik Plesner Jacobsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
- Chair of Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising, Germany
| | - Mark Haid
- Metabolomics and Proteomics Core, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B Musholt
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Federico De Masi
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Josef Vogt
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valborg Gudmundsdottir
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Imperial College London, London, UK
| | - Henrik Thomsen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Elizaveta Hansen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marieke T Blom
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Biomedical Data Science, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Francois Pattou
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Violeta Raverdy
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | - Miranda Mourby
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | - Jane Kaye
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | | | - Martin Ridderstråle
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Ian Forgie
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, CRC, Lund University, SUS, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations, Vienna, Austria
| | - Hartmut Ruetten
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Paul W Franks
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- OCDEM, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Ewan Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
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6
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Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, 't Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, Banasik K, Rasmussen S, Brunak S, Thomas CE, Haussler R, Beulens J, Rutters F, Nijpels G, van Oort S, Groeneveld L, Elders P, Giorgino T, Rodriquez M, Nice R, Perry M, Bianzano S, Graefe-Mody U, Hennige A, Grempler R, Baum P, Stærfeldt HH, Shah N, Teare H, Ehrhardt B, Tillner J, Dings C, Lehr T, Scherer N, Sihinevich I, Cabrelli L, Loftus H, Bizzotto R, Tura A, Dekkers K, van Leeuwen N, Groop L, Slieker R, Ramisch A, Jennison C, McVittie I, Frau F, Steckel-Hamann B, Adragni K, Thomas M, Pasdar NA, Fitipaldi H, Kurbasic A, Mutie P, Pomares-Millan H, Bonnefond A, Canouil M, Caiazzo R, Verkindt H, Holl R, Kuulasmaa T, Deshmukh H, Cederberg H, Laakso M, Vangipurapu J, Dale M, Thorand B, Nicolay C, Fritsche A, Hill A, Hudson M, Thorne C, Allin K, Arumugam M, Jonsson A, Engelbrechtsen L, Forman A, Dutta A, Sondertoft N, Fan Y, Gough S, Robertson N, McRobert N, Wesolowska-Andersen A, Brown A, Davtian D, Dawed A, Donnelly L, Palmer C, White M, Ferrer J, Whitcher B, Artati A, Prehn C, Adam J, Grallert H, Gupta R, Sackett PW, Nilsson B, Tsirigos K, Eriksen R, Jablonka B, Uhlen M, Gassenhuber J, Baltauss T, de Preville N, Klintenberg M, Abdalla M. Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models. Nat Biotechnol 2023; 41:399-408. [PMID: 36593394 PMCID: PMC10017515 DOI: 10.1038/s41587-022-01520-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 09/20/2022] [Indexed: 01/03/2023]
Abstract
The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug-omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug-drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.
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Affiliation(s)
- Rosa Lundbye Allesøe
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.,Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Agnete Troen Lundgaard
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ricardo Hernández Medina
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alejandro Aguayo-Orozco
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Joachim Johansen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Jakob Nybo Nissen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Gianluca Mazzoni
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lili Niu
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jorge Hernansanz Biel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valentas Brasas
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henry Webel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Eriksen Benros
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders Gorm Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Piotr Jaroslaw Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ulrik Plesner Jacobsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.,Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany.,Chair of Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising, Germany
| | - Mark Haid
- Metabolomics and Proteomics Core, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B Musholt
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Federico De Masi
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Josef Vogt
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valborg Gudmundsdottir
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Imperial College London, London, UK
| | - Henrik Thomsen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Elizaveta Hansen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marieke T Blom
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Department of Biomedical Data Science, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Francois Pattou
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Violeta Raverdy
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | - Miranda Mourby
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | - Jane Kaye
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | | | - Martin Ridderstråle
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Ian Forgie
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, CRC, Lund University, SUS, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations, Vienna, Austria
| | - Hartmut Ruetten
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Paul W Franks
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Harvard T.H. Chan School of Public Health, Boston, MA, USA.,OCDEM, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.,Genentech, South San Francisco, CA, USA
| | - Ewan Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
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7
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Møller-Bisgaard S, Hørslev-Petersen K, Glinatsi D, Ejbjerg B, Hetland ML, Møllenbach Møller J, Christensen R, Nielsen SM, Boesen M, Stengaard-Pedersen K, Madsen O, Jensen B, Villadsen JA, Hauge EM, Hendricks O, Lindegaard HM, Steen Krogh N, Jurik AG, Thomsen H, Østergaard M. POS0550 LONG TERM EFFICACY OF A 2-YEAR MRI TREAT-TO-TARGET STRATEGY ON DISEASE ACTIVITY, MRI INFLAMMATION AND PHYSICAL FUNCTION IN RHEUMATOID ARTHRITIS PATIENTS IN CLINICAL REMISSION: FIVE YEAR FOLLOW-UP OF THE IMAGINE RA-COHORT. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3095] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundTargeting MRI remission in rheumatoid arthritis (RA) patients in clinical remission may improve long term clinical, functional and MRI outcomes.ObjectivesTo investigate whether a 2-year treat-to-target (T2T) strategy, based on structured MRI assessments targeting absence of osteitis combined with clinical remission, compared with a conventional clinical T2T strategy targeting clinical remission only, improves disease activity, physical function and suppresses MRI-inflammation over 5 years in RA patients.MethodsThe IMAGINE-more trial was designed as an extension protocol to the 2-year IMAGINE-RA randomised controlled trial (RCT). IMAGINE-RA included 200 RA patients, in clinical remission (DAS28-CRP<3.2 and no swollen joints), who received conventional synthetic disease-modifying antirheumatic drugs (csDMARD) and investigated whether an MRI T2T strategy targeting absence of osteitis in combination with clinical remission (DAS28-CRP≤3.2 and no swollen joints) could increase remission rates and prevent erosive progression compared with a conventional T2T strategy targeting clinical remission only. If target was not met, treatment was escalated according to a predefined treatment algorithm starting with increment in csDMARDs and then adding biologics. At the end of the study, participants were invited to participate in the IMAGINE-more follow-up study. Patients were managed in routine outpatient clinic and had three IMAGINE-more visits including clinical examination (year 3, 4 and 5) and contrast-enhanced MRI of the dominant wrist and 2nd-5th metacarpophalangeal joints (year 3 and 5). The primary clinical endpoint was the proportion of patients achieving DAS28-CRP remission (DAS28-CRP<2.6) at year 5. Predefined key secondary outcomes were disease activity (DAS28-CRP), and changes in MRI osteitis (OMERACT RA MRI scoring system (RAMRIS)) and functional level (Health Assessment Questionnaire (HAQ)) from baseline to 5-years follow up. Endpoints were analysed by logistic regression models and repeated measures mixed effects models adjusted for propensity scores corresponding to (remaining in) group allocation.ResultsFifty-nine patients in the MRI T2T arm and 72 patients in conventional T2T arm consented to participate. Of these, 47 patients (80%) in the MRI T2T group and 54 patients (75%) in the conventional T2T group reached the primary clinical endpoint (p=0.161) (Table 1 and Figure 1). No statistically significant differences between treatment strategies in key secondary outcomes were seen.Table 1.Primary and key secondary outcomes at 5 yearsMRI T2TConventional T2TDifference between groupsP valueN=59N=72Primary endpointDAS28-CRP remission (DAS28-CRP<2.6), No. (%)47 (80%)54 (75%)2.00 (0.76 to 5.28)0.161Key secondary endpointsDAS28-CRP1.79 (0.08)1.94 (0.08)-0.15 (-0.38 to 0.07)0.176Change from baseline in MRI osteitis (RAMRIS)-0.17 (0.58)0.18 (0.54)-0.35 (-1.96 to 1.25)0.663Change from baseline in HAQ-0.02 (0.03)0.05 (0.03)-0.07 (-0.15 to 0.01)0.080Group estimates are presented as No. (%) for dichotomous data and least squares means (SE) for continuous data. For the primary endpoint, adjusted odds ratio and 95%CI between groups were calculated from a logistic regression model including a fixed factor for treatment arm, and an adjustment for propensity score as a covariate. For endpoints with continuous data, least squares mean differences between groups were calculated based on repeated-measures mixed linear models adjusted for baseline values and propensity scores.ConclusionA 2-year MRI T2T strategy targeting absence of MRI osteitis combined with clinical remission as compared to a conventional clinical T2T strategy in RA patients had no effect on the long-term probability of achieving DAS28-CRP remission. These findnings do not support the use of an MRI-guided strategy for treating patients with RA.References[1]Møller-Bisgaard S et al: JAMA 2019, 321(5):461-472.Disclosure of InterestsSigne Møller-Bisgaard Grant/research support from: AbbVie, Kim Hørslev-Petersen: None declared, Daniel Glinatsi: None declared, Bo Ejbjerg: None declared, Merete L. Hetland: None declared, Jakob Møllenbach Møller: None declared, Robin Christensen: None declared, Sabrina Mai Nielsen: None declared, Mikael Boesen: None declared, Kristian Stengaard-Pedersen: None declared, Ole Madsen: None declared, Bente Jensen: None declared, Jan Alexander Villadsen: None declared, Ellen Margrethe Hauge: None declared, Oliver Hendricks: None declared, Hanne Merete Lindegaard: None declared, Niels Steen Krogh: None declared, Anne Grethe Jurik: None declared, Henrik Thomsen: None declared, Mikkel Østergaard Speakers bureau: Abbvie, BMS, Celgene, Eli-Lilly, Galapagos, Gilead, Janssen, Merck, Novartis, Orion, Pfizer, Roche and UCB, Consultant of: Abbvie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi and UCB, Grant/research support from: Abbvie, Amgen, BMS, Merck, Celgene and Novartis.
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8
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Wesolowska-Andersen A, Brorsson CA, Bizzotto R, Mari A, Tura A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Prehn C, Artati A, Hong MG, Musholt PB, Kurbasic A, De Masi F, Tsirigos K, Pedersen HK, Gudmundsdottir V, Thomas CE, Banasik K, Jennison C, Jones A, Kennedy G, Bell J, Thomas L, Frost G, Thomsen H, Allin K, Hansen TH, Vestergaard H, Hansen T, Rutters F, Elders P, t’Hart L, Bonnefond A, Canouil M, Brage S, Kokkola T, Heggie A, McEvoy D, Hattersley A, McDonald T, Teare H, Ridderstrale M, Walker M, Forgie I, Giordano GN, Froguel P, Pavo I, Ruetten H, Pedersen O, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, Pearson E, McCarthy MI, Brunak S. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study. Cell Rep Med 2022; 3:100477. [PMID: 35106505 PMCID: PMC8784706 DOI: 10.1016/j.xcrm.2021.100477] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 06/21/2021] [Accepted: 11/23/2021] [Indexed: 12/11/2022]
Abstract
The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct subgroups using data-driven approaches, but their clinical utility may be limited if categorical representations of complex phenotypes are suboptimal. We apply a soft-clustering (archetype) method to characterize newly diagnosed T2D based on 32 clinical variables. We assign quantitative clustering scores for individuals and investigate the associations with glycemic deterioration, genetic risk scores, circulating omics biomarkers, and phenotypic stability over 36 months. Four archetype profiles represent dysfunction patterns across combinations of T2D etiological processes and correlate with multiple circulating biomarkers. One archetype associated with obesity, insulin resistance, dyslipidemia, and impaired β cell glucose sensitivity corresponds with the fastest disease progression and highest demand for anti-diabetic treatment. We demonstrate that clinical heterogeneity in T2D can be mapped to heterogeneity in individual etiological processes, providing a potential route to personalized treatments.
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Affiliation(s)
| | - Caroline A. Brorsson
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Andrea Tura
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | | | - Sapna Sharma
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Mark Haid
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Anna Artati
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B. Musholt
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Azra Kurbasic
- University of Lund, Clinical Sciences, Malmö, Sweden
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Kostas Tsirigos
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valborg Gudmundsdottir
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Cecilia Engel Thomas
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, Shool of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
| | - Louise Thomas
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, UK
| | - Henrik Thomsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Allin
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - Petra Elders
- Department of General Practice, Amsterdam UMC-location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Leen t’Hart
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Amelie Bonnefond
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Mickaël Canouil
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | | | | | - Harriet Teare
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Giuseppe N. Giordano
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Philippe Froguel
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Hartmut Ruetten
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | | | - Jochen M. Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
| | | | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Søren Brunak
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - IMI DIRECT Consortium
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- C.N.R. Institute of Neuroscience, Padova, Italy
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
- University of Lund, Clinical Sciences, Malmö, Sweden
- Department of Mathematical Sciences, University of Bath, Bath, UK
- University of Exeter Medical School, Exeter, UK
- The Immunoassay Biomarker Core Laboratory, Shool of Medicine, University of Dundee, Dundee, UK
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
- Department of General Practice, Amsterdam UMC-location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
- University of Dundee, Dundee, UK
- Eli Lilly Regional Operations GmbH, Vienna, Austria
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
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9
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Beidler CD, Smith HM, Alonso A, Andreeva T, Baldzuhn J, Beurskens MNA, Borchardt M, Bozhenkov SA, Brunner KJ, Damm H, Drevlak M, Ford OP, Fuchert G, Geiger J, Helander P, Hergenhahn U, Hirsch M, Höfel U, Kazakov YO, Kleiber R, Krychowiak M, Kwak S, Langenberg A, Laqua HP, Neuner U, Pablant NA, Pasch E, Pavone A, Pedersen TS, Rahbarnia K, Schilling J, Scott ER, Stange T, Svensson J, Thomsen H, Turkin Y, Warmer F, Wolf RC, Zhang D. Publisher Correction: Demonstration of reduced neoclassical energy transport in Wendelstein 7-X. Nature 2021; 598:E5. [PMID: 34642470 PMCID: PMC8550957 DOI: 10.1038/s41586-021-04023-y] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- C D Beidler
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany.
| | - H M Smith
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Alonso
- Laboratorio Nacional de Fusion, CIEMAT, Madrid, Spain
| | - T Andreeva
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Baldzuhn
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | | | - M Borchardt
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - S A Bozhenkov
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - K J Brunner
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H Damm
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - M Drevlak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - O P Ford
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - G Fuchert
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Geiger
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - P Helander
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Hergenhahn
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany.,Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany
| | - M Hirsch
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Höfel
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - Ye O Kazakov
- Laboratory for Plasma Physics (LPP), École royale militaire/Koninklijke Militaire School (ERM/KMS), Brussels, Belgium
| | - R Kleiber
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - M Krychowiak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - S Kwak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Langenberg
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H P Laqua
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Neuner
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - N A Pablant
- Princeton Plasma Physics Laboratory, Princeton, NJ, USA
| | - E Pasch
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Pavone
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - T S Pedersen
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - K Rahbarnia
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Schilling
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - E R Scott
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - T Stange
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Svensson
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H Thomsen
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - Y Turkin
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - F Warmer
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - R C Wolf
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - D Zhang
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
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Stocker H, Perna L, Weigl K, Möllers T, Schöttker B, Thomsen H, Holleczek B, Rujescu D, Brenner H. Prediction of clinical diagnosis of Alzheimer's disease, vascular, mixed, and all-cause dementia by a polygenic risk score and APOE status in a community-based cohort prospectively followed over 17 years. Mol Psychiatry 2021; 26:5812-5822. [PMID: 32404947 PMCID: PMC8758470 DOI: 10.1038/s41380-020-0764-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 04/23/2020] [Accepted: 04/27/2020] [Indexed: 02/08/2023]
Abstract
The strongest genetic risk factor for Alzheimer's disease (AD) is the ε4 allele of Apolipoprotein E (APOE) and recent genome-wide association meta-analyses have confirmed additional associated genetic loci with smaller effects. The aim of this study was to investigate the ability of an AD polygenic risk score (PRS) and APOE status to predict clinical diagnosis of AD, vascular (VD), mixed (MD), and all-cause dementia in a community-based cohort prospectively followed over 17 years and secondarily across age, sex, and education strata. A PRS encompassing genetic variants reaching genome-wide significant associations to AD (excluding APOE) from the most recent genome-wide association meta-analysis data was calculated and APOE status was determined in 5203 participants. During follow-up, 103, 111, 58, and 359 participants were diagnosed with AD, VD, MD, and all-cause dementia, respectively. Prediction ability of AD, VD, MD, and all-cause dementia by the PRS and APOE was assessed by multiple logistic regression and receiver operating characteristic curve analyses. The PRS per standard deviation increase in score and APOE4 positivity (≥1 ε4 allele) were significantly associated with greater odds of AD (OR, 95% CI: PRS: 1.70, 1.45-1.99; APOE4: 3.34, 2.24-4.99) and AD prediction accuracy was significantly improved when adding the PRS to a base model of age, sex, and education (ASE) (c-statistics: ASE, 0.772; ASE + PRS, 0.810). The PRS enriched the ability of APOE to discern AD with stronger associations than to VD, MD, or all-cause dementia in a prospective community-based cohort.
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Affiliation(s)
- H Stocker
- Network Aging Research, Heidelberg University, Heidelberg, Germany.
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
| | - L Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - K Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - T Möllers
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - B Schöttker
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - B Holleczek
- Saarland Cancer Registry, Saarbrücken, Germany
| | - D Rujescu
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle, Halle, Germany
| | - H Brenner
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
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11
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Stocker H, Perna L, Weigl K, Möllers T, Schöttker B, Thomsen H, Holleczek B, Rujescu D, Brenner H. Correction: Prediction of clinical diagnosis of Alzheimer's disease, vascular, mixed, and all-cause dementia by a polygenic risk score and APOE status in a community-based cohort prospectively followed over 17 years. Mol Psychiatry 2021; 26:5823. [PMID: 34599279 PMCID: PMC8758469 DOI: 10.1038/s41380-021-01311-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- H Stocker
- Network Aging Research, Heidelberg University, Heidelberg, Germany.
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
| | - L Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - K Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - T Möllers
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - B Schöttker
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - B Holleczek
- Saarland Cancer Registry, Saarbrücken, Germany
| | - D Rujescu
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle, Halle, Germany
| | - H Brenner
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
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12
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Beidler CD, Smith HM, Alonso A, Andreeva T, Baldzuhn J, Beurskens MNA, Borchardt M, Bozhenkov SA, Brunner KJ, Damm H, Drevlak M, Ford OP, Fuchert G, Geiger J, Helander P, Hergenhahn U, Hirsch M, Höfel U, Kazakov YO, Kleiber R, Krychowiak M, Kwak S, Langenberg A, Laqua HP, Neuner U, Pablant NA, Pasch E, Pavone A, Pedersen TS, Rahbarnia K, Schilling J, Scott ER, Stange T, Svensson J, Thomsen H, Turkin Y, Warmer F, Wolf RC, Zhang D. Demonstration of reduced neoclassical energy transport in Wendelstein 7-X. Nature 2021; 596:221-226. [PMID: 34381232 PMCID: PMC8357633 DOI: 10.1038/s41586-021-03687-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 04/30/2020] [Accepted: 06/02/2021] [Indexed: 02/07/2023]
Abstract
Research on magnetic confinement of high-temperature plasmas has the ultimate goal of harnessing nuclear fusion for the production of electricity. Although the tokamak1 is the leading toroidal magnetic-confinement concept, it is not without shortcomings and the fusion community has therefore also pursued alternative concepts such as the stellarator. Unlike axisymmetric tokamaks, stellarators possess a three-dimensional (3D) magnetic field geometry. The availability of this additional dimension opens up an extensive configuration space for computational optimization of both the field geometry itself and the current-carrying coils that produce it. Such an optimization was undertaken in designing Wendelstein 7-X (W7-X)2, a large helical-axis advanced stellarator (HELIAS), which began operation in 2015 at Greifswald, Germany. A major drawback of 3D magnetic field geometry, however, is that it introduces a strong temperature dependence into the stellarator's non-turbulent 'neoclassical' energy transport. Indeed, such energy losses will become prohibitive in high-temperature reactor plasmas unless a strong reduction of the geometrical factor associated with this transport can be achieved; such a reduction was therefore a principal goal of the design of W7-X. In spite of the modest heating power currently available, W7-X has already been able to achieve high-temperature plasma conditions during its 2017 and 2018 experimental campaigns, producing record values of the fusion triple product for such stellarator plasmas3,4. The triple product of plasma density, ion temperature and energy confinement time is used in fusion research as a figure of merit, as it must attain a certain threshold value before net-energy-producing operation of a reactor becomes possible1,5. Here we demonstrate that such record values provide evidence for reduced neoclassical energy transport in W7-X, as the plasma profiles that produced these results could not have been obtained in stellarators lacking a comparably high level of neoclassical optimization.
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Affiliation(s)
- C D Beidler
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany.
| | - H M Smith
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Alonso
- Laboratorio Nacional de Fusion, CIEMAT, Madrid, Spain
| | - T Andreeva
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Baldzuhn
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | | | - M Borchardt
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - S A Bozhenkov
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - K J Brunner
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H Damm
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - M Drevlak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - O P Ford
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - G Fuchert
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Geiger
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - P Helander
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Hergenhahn
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany
| | - M Hirsch
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Höfel
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - Ye O Kazakov
- Laboratory for Plasma Physics (LPP), École royale militaire/Koninklijke Militaire School (ERM/KMS), Brussels, Belgium
| | - R Kleiber
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - M Krychowiak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - S Kwak
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Langenberg
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H P Laqua
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - U Neuner
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - N A Pablant
- Princeton Plasma Physics Laboratory, Princeton, NJ, USA
| | - E Pasch
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - A Pavone
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - T S Pedersen
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - K Rahbarnia
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Schilling
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - E R Scott
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - T Stange
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - J Svensson
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - H Thomsen
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - Y Turkin
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - F Warmer
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - R C Wolf
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| | - D Zhang
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
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Kjeld T, Møller J, Fogh K, Hansen EG, Arendrup HC, Isbrand AB, Zerahn B, Højberg J, Ostenfeld E, Thomsen H, Gormsen LC, Carlsson M. Author Correction: Cardiac hypoxic resistance and decreasing lactate during maximum apnea in elite breath hold divers. Sci Rep 2021; 11:6138. [PMID: 33707628 PMCID: PMC7952682 DOI: 10.1038/s41598-021-85418-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Thomas Kjeld
- Department of Radiology, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
| | - Jakob Møller
- Department of Radiology, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark
| | - Kristian Fogh
- Department of Radiology, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark
| | - Egon Godthaab Hansen
- Department of AnesthesiologyHerlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | | | - Anders Brenøe Isbrand
- Department of Clinical Physiology and Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Bo Zerahn
- Department of Clinical Physiology and Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jens Højberg
- Department of Cardiothoracic Anesthesiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ellen Ostenfeld
- Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Henrik Thomsen
- Department of Radiology, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark
| | - Lars Christian Gormsen
- Department of Nuclear Medicine & PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Marcus Carlsson
- Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
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14
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Møller-Bisgaard S, Georgiadis S, Hørslev-Petersen K, Ejbjerg B, Hetland ML, Ørnbjerg L, Glinatsi D, Møllenbach Møller J, Boesen M, Stengaard-Pedersen K, Rintek Madsen O, Jensen B, Villadsen J, Hauge EM, Bennett P, Hendricks O, Asmussen K, Kowalski M, Lindegaard HM, Bliddal H, Steen Krogh N, Ellingsen T, Nielsen A, Balding L, Jurik AG, Thomsen H, Ǿstergaard M. AB0209 PREDICTORS OF ACHIEVING STRINGENT REMISSION IN PATIENTS WITH ESTABLISHED RHEUMATOID ARTHRITIS IN CLINICAL REMISSION FOLLOWING A TREAT-TO-TARGET STRATEGY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2512] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Achieving remission according to stringent criteria such as Simplified Disease Activity Index (SDAI) and ACR/EULAR Boolean remission is associated with a better long-term outcome in patients with RA1. Possible predictors of achieving stringent remission in patients in clinical remission, following targeted treatment strategies, have not been investigated.Objectives:To investigate the predictive value of clinical, radiographic and MRI variables on achieving more stringent remission in RA patients in clinical remission, following MRI and conventional treat-to-target (T2T) strategies.Methods:In this post-hoc study, data were used from 171 RA patients in clinical remission (DAS28-CRP< 3.2 and no swollen joints) on conventional synthetic DMARDs, included in the IMAGINE-RA randomized clinical trial2, where they followed an MRI T2T strategy (targeting absence of osteitis) combined with clinical remission (DAS28-CRP≤3.2 and no swollen joints) or a conventional T2T strategy (targeting clinical remission only). Baseline contrast-enhanced MRIs of the dominant wrist and 2nd-5thMCP joints and radiographs of hands and feet were evaluated according to the OMERACT RAMRIS scoring system and Sharp/van der Heijde method, respectively, by two experienced readers. Potential clinical, radiographic and MRI baseline predictors of remission were first tested in univariate logistic regression analyses with achievement of Clinical Disease Activity Index (CDAI), SDAI, and ACR/EULAR Boolean remission at 24 months as dependent variables. Variables with p<0.25 were subsequently tested in multivariate logistic regression analyses with backward selection, adjusted for age, gender and strategy group. Missing values of covariates were imputed using chained equations.Results:Based on the univariate analyses, tender joint count, patient VAS global, VAS pain, VAS fatigue, physician VAS global, HAQ, MRI osteitis, radiographic and MRI erosion and joint space narrowing scores were included in multivariate analyses (Table).Following the MRI T2T strategy was a positive predictor and high patient VAS global a negative predictor of achieving all definitions of remission. Furthermore, high patient VAS pain was negatively associated with achieving SDAI and ACR/EULAR Boolean remission and high tender joint count negatively associated with achieving CDAI and SDAI remission.Multivariate logistic regression analyses with backward selection, final modelsDependent variables, remission at 24 monthsCDAISDAIACR/EULAR BooleanOR95% CIp-valueOR95% CIp-valueOR95% CIp-valueCovariatesMRI T2T strategy group2.941.25-7.520.0132.461.03-6.350.0435.472.33-14.11<0.001Female0.900.36-2.250.820.800.31-2.050.640.800.32-1.970.63Age1.020.98-1.070.321.020.98-1.070.331.030.99-1.070.15Tender joint count (0-28)0.330.12-0.860.0230.290.10-0.780.013Patient VAS global0.910.88-0.94<0.0010.930.88-0.97<0.0010.930.88-0.980.003Patient VAS pain0.950.91-1.000.0490.920.87-0.980.004Conclusion:In RA patients in clinical remission, poor patient reported outcomes and tender joint count were associated with decreased chance of achieving stringent remission, while following an MRI T2T strategy predicted stringent remission across all definitions thereof.References:[1]Smolen et al. Ann Rheum Dis 2017[2]Møller-Bisgaard et al. JAMA 2019Disclosure of Interests:Signe Møller-Bisgaard Grant/research support from: AbbVie, Consultant of: BMS, Speakers bureau: BMS, Celgene, Pfizer, Stylianos Georgiadis Grant/research support from: Novartis, Kim Hørslev-Petersen: None declared, Bo Ejbjerg: None declared, Merete L. Hetland Grant/research support from: BMS, MSD, AbbVie, Roche, Novartis, Biogen and Pfizer, Consultant of: Eli Lilly, Speakers bureau: Orion Pharma, Biogen, Pfizer, CellTrion, Merck and Samsung Bioepis, Lykke Ørnbjerg: None declared, Daniel Glinatsi: None declared, Jakob Møllenbach Møller: None declared, Mikael Boesen Consultant of: AbbVie, AstraZeneca, Eli Lilly, Esaote, Glenmark, Novartis, Pfizer, UCB, Paid instructor for: IAG, Image Analysis Group, AbbVie, Eli Lilly, AstraZeneca, esaote, Glenmark, Novartis, Pfizer, UCB (scientific advisor)., Speakers bureau: Eli Lilly, Esaote, Novartis, Pfizer, UCB, Kristian Stengaard-Pedersen: None declared, Ole Rintek Madsen: None declared, Bente Jensen: None declared, Jan Villadsen: None declared, Ellen Margrethe Hauge: None declared, Philip Bennett: None declared, Oliver Hendricks: None declared, Karsten Asmussen: None declared, Marcin Kowalski: None declared, Hanne Merete Lindegaard: None declared, Henning Bliddal Grant/research support from: received research grant fra NOVO Nordic, Consultant of: consultant fee fra NOVO Nordic, Niels Steen Krogh: None declared, Torkell Ellingsen: None declared, Agnete Nielsen: None declared, Lone Balding: None declared, Anne Grethe Jurik: None declared, Henrik Thomsen: None declared, Mikkel Ǿstergaard Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Merck, and Novartis, Consultant of: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB
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Møller-Bisgaard S, Hørslev-Petersen K, Ejbjerg B, Hetland ML, Christensen R, Ørnbjerg L, Glinatsi D, Møllenbach Møller J, Boesen M, Stengaard-Pedersen K, Rintek Madsen O, Jensen B, Villadsen J, Hauge EM, Bennett P, Hendricks O, Asmussen K, Kowalski M, Lindegaard HM, Bliddal H, Steen Krogh N, Ellingsen T, Nielsen A, Jurik AG, Balding L, Thomsen H, Ǿstergaard M. FRI0019 MRI INFLAMMATION, DISEASE ACTIVITY AND FUNCTIONAL IMPAIRMENT ARE MORE EFFECTIVELY REDUCED BY ESCALATION TO BIOLOGICS COMPARED TO CSDMARD-ESCALATION IN RHEUMATOID ARTHRITIS PATIENTS IN CLINICAL REMISSION FOLLOWING A TREAT-TO-TARGET STRATEGY: SECONDARY ANALYSES OF THE IMAGINE-RA TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2099] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The effect of different treatment escalations on MRI inflammation in rheumatoid arthritis (RA) patients following an MRI treat-to-target (T2T) strategy has not previously been investigated.Objectives:To compare the effect of different treatment escalations on MRI inflammation, physical function and disease activity in RA patients in clinical remission, following an MRI T2T strategy.Methods:One hundred RA patients in clinical remission (DAS28-CRP<3.2 and no swollen joints), on conventional synthetic (cs) DMARDs following an MRI T2T strategy targeting DAS28-CRP≤3.2, no swollen joints plus absence of MRI osteitis, were followed for 2 years with clinical and MRI (wrist and 2nd-5thMCP joints) evaluation every 4 months1. If target was not met, a predefined treatment escalation algorithm dictated: First: increase in csDMARDs (A), second: adding a TNF inhibitor (TNFi) (B), third and onwards: switch between biologics (C). If target was met, no change in baseline csDMARDs was done (D). Outcomes were assessed 4 months after treatment change. MRIs were evaluated with known chronology by one experienced reader. Repeated measures mixed linear models were used to express estimates of group differences on predefined co-primary outcomes (MRI osteitis, HAQ) and key secondary outcomes (MRI combined inflammation, Simplified Disease Activity Index (SDAI)).Results:Escalation to first TNFi (B) or to 2ndor later biologic (C) compared to csDMARDs (A) was consistently more effective on all outcomes (e.g. in group B osteitis was reduced with 1.8 units more than A) (Table). Unchanged (D) compared to escalation in csDMARD (A) treatment did not differ, except for HAQ-score. Escalation to a 2ndor later biologics (C) compared to the first TNFi (B) was more effective suppressing MRI inflammation. Escalation to TNFi treatment (B) or to 2ndor later biologic (C) compared to unchanged treatment (D) was more effective on all outcomes except from HAQ-score (no difference between groups).Comparisons of treatment escalations1A: Increment in csDMARD mono/combination therapy (n=73)); B: Switch from csDMARD combination therapy to TNFi (n=39); C: Switch from TNFi to 2ndbiologic/switch between biologics (n=21); D: No change in csDMARDs from baseline (n=58)A vs BA vs CA vs DB vs CB vs DC vs DOutcomesPrimaryMRIOsteitis1.8 (1.0; 2.6) p<.00013.6 (2.3; 4.8) p<.00010.3 (−0.3; 1.0)p=.321.8 (0.8; 2.9) p=.0006−1.4 (−2.4; −0.5) p=.0045−3.3 (−4.6; −1.9) p<.0001HAQ0.081(0.033; 0.13) p=.00110.091(0.031; 0.15) p=.00320.054(0.014; 0.095) p=.00910.0092(−0.051; 0.070) p=.77−0.027(−0.082; 0.028) p=.33−0.037(−0.10; 0.031) p=.29Key secondaryMRI combined inflammationa2.5 (0.9; 4.1) p=.00185.4 (3.1; 7.7) p<.00010.4 (−0.9; 1.8)p=.522.9 (0.8; 4.9) p=.0064−2.1 (−4.0; −0.2) p=.032−5.0 (−7.5; −2.4) p=.0002SDAI2.7 (1.9; 3.5) p<.00012.4 (1.4; 3.4) p<.00010.5 (−0.2; 1.2)p=.14−0.3 (−1.3; 0.7)p=.60−2.2 (−3.1; −1.3) p<.0001−1.9 (−3.0; 0.8) p=.00061Estimates of group differences (least squares means (95% CI)).aSum score of synovitis, osteitis and tenosynovitisConclusion:T2T-based treatment escalations to biologics compared to csDMARD-escalations more effectively improved MRI inflammation, physical function and disease activity. Further optimization of the treatment in RA patients in clinical remission may improve long-term outcomes.References:[1]Møller-Bisgaard et al. JAMA 2019Disclosure of Interests:Signe Møller-Bisgaard Grant/research support from: AbbVie, Consultant of: BMS, Speakers bureau: BMS, Celgene, Pfizer, Kim Hørslev-Petersen: None declared, Bo Ejbjerg: None declared, Merete L. Hetland Grant/research support from: BMS, MSD, AbbVie, Roche, Novartis, Biogen and Pfizer, Consultant of: Eli Lilly, Speakers bureau: Orion Pharma, Biogen, Pfizer, CellTrion, Merck and Samsung Bioepis, Robin Christensen: None declared, Lykke Ørnbjerg: None declared, Daniel Glinatsi: None declared, Jakob Møllenbach Møller: None declared, Mikael Boesen Consultant of: AbbVie, AstraZeneca, Eli Lilly, Esaote, Glenmark, Novartis, Pfizer, UCB, Paid instructor for: IAG, Image Analysis Group, AbbVie, Eli Lilly, AstraZeneca, esaote, Glenmark, Novartis, Pfizer, UCB (scientific advisor)., Speakers bureau: Eli Lilly, Esaote, Novartis, Pfizer, UCB, Kristian Stengaard-Pedersen: None declared, Ole Rintek Madsen: None declared, Bente Jensen: None declared, Jan Villadsen: None declared, Ellen Margrethe Hauge: None declared, Philip Bennett: None declared, Oliver Hendricks: None declared, Karsten Asmussen: None declared, Marcin Kowalski: None declared, Hanne Merete Lindegaard: None declared, Henning Bliddal Grant/research support from: received research grant fra NOVO Nordic, Consultant of: consultant fee fra NOVO Nordic, Niels Steen Krogh: None declared, Torkell Ellingsen: None declared, Agnete Nielsen: None declared, Anne Grethe Jurik: None declared, Lone Balding: None declared, Henrik Thomsen: None declared, Mikkel Ǿstergaard Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Merck, and Novartis, Consultant of: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB
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Andreeva T, Alonso J, Bozhenkov S, Brandt C, Endler M, Fuchert G, Geiger J, Grahl M, Klinger T, Krychowiak M, Langenberg A, Lazerson S, Neuner U, Rahbarnia K, Pablant N, Pavone A, Schilling J, Schmitt J, Thomsen H, Turkin Y. Equilibrium evaluation for Wendelstein 7-X experiment programs in the first divertor phase. Fusion Engineering and Design 2019. [DOI: 10.1016/j.fusengdes.2018.12.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Zhang D, König R, Feng Y, Burhenn R, Brezinsek S, Jakubowski M, Buttenschön B, Niemann H, Pavone A, Krychowiak M, Kwak S, Svensson J, Gao Y, Pedersen TS, Alonso A, Baldzuhn J, Beidler CD, Biedermann C, Bozhenkov S, Brunner KJ, Damm H, Hirsch M, Giannone L, Drewelow P, Effenberg F, Fuchert G, Hammond KC, Höfel U, Killer C, Knauer J, Laqua HP, Laube R, Pablant N, Pasch E, Penzel F, Rahbarnia K, Reimold F, Thomsen H, Winters V, Wagner F, Klinger T. First Observation of a Stable Highly Dissipative Divertor Plasma Regime on the Wendelstein 7-X Stellarator. Phys Rev Lett 2019; 123:025002. [PMID: 31386539 DOI: 10.1103/physrevlett.123.025002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Indexed: 06/10/2023]
Abstract
For the first time, the optimized stellarator Wendelstein 7-X has operated with an island divertor. An operation regime in hydrogen was found in which the total plasma radiation approached the absorbed heating power without noticeable loss of stored energy. The divertor thermography recorded simultaneously a strong reduction of the heat load on all divertor targets, indicating almost complete power detachment. This operation regime was stably sustained over several energy confinement times until the preprogrammed end of the discharge. The plasma radiation is mainly due to oxygen and is located at the plasma edge. This plasma scenario is reproducible and robust at various heating powers, plasma densities, and gas fueling locations. These experimental results show that the island divertor concept actually works and displays good power dissipation potential, producing a promising exhaust concept for the stellarator reactor line.
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Affiliation(s)
- D Zhang
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - R König
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - Y Feng
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - R Burhenn
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - S Brezinsek
- Forschungszentrum Jülich GmbH, IEK-4 52425 Jülich, Germany
| | - M Jakubowski
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - B Buttenschön
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H Niemann
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - A Pavone
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - M Krychowiak
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - S Kwak
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - J Svensson
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - Y Gao
- Forschungszentrum Jülich GmbH, IEK-4 52425 Jülich, Germany
| | - T S Pedersen
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - A Alonso
- Laboratorio Nacional de Fusion CIEMAT, 28040 Madrid, Spain
| | - J Baldzuhn
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - C D Beidler
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - C Biedermann
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - S Bozhenkov
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - K J Brunner
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H Damm
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - M Hirsch
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - L Giannone
- Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany
| | - P Drewelow
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - F Effenberg
- University of Wisconsin, Madison, Wisconsin 53706, USA
| | - G Fuchert
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - K C Hammond
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - U Höfel
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - C Killer
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - J Knauer
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H P Laqua
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - R Laube
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - N Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08540, USA
| | - E Pasch
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - F Penzel
- Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany
| | - K Rahbarnia
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - F Reimold
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H Thomsen
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - V Winters
- University of Wisconsin, Madison, Wisconsin 53706, USA
| | - F Wagner
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - T Klinger
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
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Langenberg A, Svensson J, Marchuk O, Fuchert G, Bozhenkov S, Damm H, Pasch E, Pavone A, Thomsen H, Pablant NA, Burhenn R, Wolf RC. Inference of temperature and density profiles via forward modeling of an x-ray imaging crystal spectrometer within the Minerva Bayesian analysis framework. Rev Sci Instrum 2019; 90:063505. [PMID: 31255024 DOI: 10.1063/1.5086283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 06/06/2019] [Indexed: 06/09/2023]
Abstract
At the Wendelstein 7-X stellarator, the X-ray imaging crystal spectrometer provides line integrated measurements of ion and electron temperatures, plasma flows, as well as impurity densities from a spectroscopic analysis of tracer impurity radiation. In order to infer the actual profiles from line integrated data, a forward modeling approach has been developed within the Minerva Bayesian analysis framework. In this framework, the inversion is realized on the basis of a complete forward model of the diagnostic, including error propagation and utilizing Gaussian processes for generation and inference of arbitrary shaped plasma parameter profiles. For modeling of line integrated data as measured by the detector, the installation geometry of the spectrometer, imaging properties of the crystal, and Gaussian detection noise are considered. The inversion of line integrated data is achieved using the maximum posterior method for plasma parameter profile inference and a Markov chain Monte Carlo sampling of the posterior distribution for calculating uncertainties of the inference process. The inversion method shows a correct and reliable inference of temperature and impurity density profiles from synthesized data within the estimated uncertainties along the whole plasma radius. The application to measured data yields a good match of derived electron temperature profiles to data of the Thomson scattering diagnostic for central electron temperatures between 2 and 5 keV using argon impurities.
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Affiliation(s)
- A Langenberg
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - J Svensson
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - O Marchuk
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung-Plasmaphysik, 52425 Jülich, Germany
| | - G Fuchert
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - S Bozhenkov
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H Damm
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - E Pasch
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - A Pavone
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - H Thomsen
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - N A Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - R Burhenn
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
| | - R C Wolf
- Max-Planck-Institut für Plasmaphysik, 17491 Greifswald, Germany
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Drews P, Killer C, Cosfeld J, Knieps A, Brezinsek S, Jakubowski M, Brandt C, Bozhenkov S, Dinklage A, Cai J, Endler M, Hammond K, Henkel M, Gao Y, Geiger J, Grulke O, Höschen D, König R, Krämer-Flecken A, Liang Y, Li Y, Liu S, Niemann H, Nicolai D, Neubauer O, Neuner U, Rack M, Rahbarnia K, Rudischhauser L, Sandri N, Satheeswaran G, Schilling S, Thomsen H, Windisch T, Sereda S. Edge plasma measurements on the OP 1.2a divertor plasmas at W7-X using the combined probe. Nuclear Materials and Energy 2019. [DOI: 10.1016/j.nme.2019.02.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Zanini M, Laqua H, Stange T, Brandt C, Hirsch M, Höfel U, Marushchenko N, Neuner U, Rahbarnia K, Schilling J, Thomsen H, Wolf R. ECCD operations in the second experimental campaign at W7-X. EPJ Web Conf 2019. [DOI: 10.1051/epjconf/201920302013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
In the Wendelstein 7-X stellarator, up to 7MW of power are delivered to the plasma by an electron cyclotron resonance heating system consisting of ten 140 GHz gyrotrons [1].
Due to the flexible front steering mirror of each beam line, the power deposition can be varied over the whole plasma radius and is optionally combinable with additional current drive. This flexibility, together with small toroidal currents in the stellarator, makes W7-X a perfect testbed for electron cyclotron current drive (ECCD) experiments, which have been successfully accomplished during the first two experimental campaigns OP1.1 and OP1.2a.
Long discharges (lasting up to 30s) have been performed in OP1.2a, thus allowing the study of the current drive time evolution and the possibility to compensate the bootstrap current.
ECCD efficiency has been studied using different power deposition profiles combined with a variation of the injection angles in relation to the magnetic field.
During ECCD experiments, saw-tooth-like oscillations have been observed. Depending on the driven current density, ECCD can significantly modify the rotational transform (iota) profile, which can locally reach low order rational, thus triggering plasma instabilities.
Different current density profiles have been tested, in order to try to understand the main trigger parameter for the instabilities. In particular, effects caused by current density gradient have been investigated producing both co- and counter-current drive at different radial positions: the total current drive is negligible, but a strong current gradient arises by driving currents in opposite directions.
In this work an overview of ECCD operations in OP1.2a is given and first results, comparing different diagnostics, are presented. An initial 1-D model, coupled with the ray tracer TRAVIS, is developed, in order to have an estimation of current diffusion times and the radial position where a low order rational crosses the disturbed iota profile.
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Kubkowska M, Czarnecka A, Fornal T, Gruca M, Jabłoński S, Krawczyk N, Ryć L, Burhenn R, Buttenschön B, Geiger B, Grulke O, Langenberg A, Marchuk O, McCarthy KJ, Neuner U, Nicolai D, Pablant N, Schweer B, Thomsen H, Wegner T, Drews P, Hollfeld KP, Killer C, Krings T, Offermanns G, Satheeswaran G, Kunkel F. Plasma impurities observed by a pulse height analysis diagnostic during the divertor campaign of the Wendelstein 7-X stellarator. Rev Sci Instrum 2018; 89:10F111. [PMID: 30399723 DOI: 10.1063/1.5038850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 07/16/2018] [Indexed: 06/08/2023]
Abstract
The paper reports on the optimization process of the soft X-ray pulse height analyzer installed on the Wendelstein 7-X (W7-X) stellarator. It is a 3-channel system that records X-ray spectra in the range from 0.6 to 19.6 keV. X-ray spectra, with a temporal and spatial resolution of 100 ms and 2.5 cm (depending on selected slit sizes), respectively, are line integrated along a line-of-sight that crosses near to the plasma center. In the second W7-X operation phase with a carbon test divertor unit, light impurities, e.g., carbon and oxygen, were observed as well as mid- to high-Z elements, e.g., sulfur, chlorine, chromium, manganese, iron, and nickel. In addition, X-ray lines from several tracer elements have been observed after the laser blow-off injection of different impurities, e.g., silicon, titanium, and iron, and during discharges with prefill or a gas puff of neon or argon. These measurements were achieved by optimizing light absorber-foil selection, which defines the detected energy range, and remotely controlled pinhole size, which defines photon flux. The identification of X-ray lines was confirmed by other spectroscopic diagnostics, e.g., by the High-Efficiency XUV Overview Spectrometer, HEXOS, and high-resolution X-ray imaging spectrometer, HR-XIS.
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Affiliation(s)
- M Kubkowska
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - A Czarnecka
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - T Fornal
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - M Gruca
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - S Jabłoński
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - N Krawczyk
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - L Ryć
- Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
| | - R Burhenn
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Buttenschön
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Geiger
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Grulke
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Langenberg
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Marchuk
- Forschungszentrum, 52425 Juelich, Germany
| | - K J McCarthy
- Laboratorio Nacional de Fusion, CIEMAT, Avenida Complutense, Madrid, Spain
| | - U Neuner
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - D Nicolai
- Forschungszentrum, 52425 Juelich, Germany
| | - N Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08540, USA
| | - B Schweer
- Forschungszentrum, 52425 Juelich, Germany
| | - H Thomsen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - Th Wegner
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - P Drews
- Forschungszentrum, 52425 Juelich, Germany
| | | | - C Killer
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - Th Krings
- Forschungszentrum, 52425 Juelich, Germany
| | | | | | - F Kunkel
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
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22
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Wegner T, Geiger B, Kunkel F, Burhenn R, Schröder T, Biedermann C, Buttenschön B, Cseh G, Drews P, Grulke O, Hollfeld K, Killer C, Kocsis G, Krings T, Langenberg A, Marchuk O, Neuner U, Nicolai D, Offermanns G, Pablant NA, Rahbarnia K, Satheeswaran G, Schilling J, Schweer B, Szepesi T, Thomsen H. Design, capabilities, and first results of the new laser blow-off system on Wendelstein 7-X. Rev Sci Instrum 2018; 89:073505. [PMID: 30068134 DOI: 10.1063/1.5037543] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 06/21/2018] [Indexed: 06/08/2023]
Abstract
We present a detailed overview and first results of the new laser blow-off system on the stellarator Wendelstein 7-X. The system allows impurity transport studies by the repetitive and controlled injection of different tracer ions into the plasma edge. A Nd:YAG laser is used to ablate a thin metal film, coated on a glass plate, with a repetition rate of up to 20 Hz. A remote-controlled adjustable optical system allows the variation of the laser spot diameter and enables the spot positioning to non-ablated areas on the target between laser pulses. During first experiments, clear spectral lines from higher ionization stages of the tracer ions have been observed in the X-ray to the extreme ultraviolet spectral range. The temporal behavior of the measured emission allows the estimate of transport properties, e.g., impurity transport times in the order of 100 ms. Although the strong injection of impurities is well detectable, the global plasma parameters are barely changed.
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Affiliation(s)
- Th Wegner
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Geiger
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - F Kunkel
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - R Burhenn
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Schröder
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - C Biedermann
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Buttenschön
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - G Cseh
- Wigner Research Center for Physics, 1121 Budapest, Hungary
| | - P Drews
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | - O Grulke
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - K Hollfeld
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | - C Killer
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - G Kocsis
- Wigner Research Center for Physics, 1121 Budapest, Hungary
| | - T Krings
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | - A Langenberg
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Marchuk
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | - U Neuner
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - D Nicolai
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | | | - N A Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - K Rahbarnia
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | | | - J Schilling
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Schweer
- Forschungszentrum Jülich, 52425 Jülich, Germany
| | - T Szepesi
- Wigner Research Center for Physics, 1121 Budapest, Hungary
| | - H Thomsen
- Max-Planck Institute for Plasma Physics, 17491 Greifswald, Germany
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23
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Chattopadhyay S, Thomsen H, Filho DS, Weinhold N, Broderick P, Morgan G, Goldscmidt H, Houlston R, Hemminki K, Försti A. PO-057 Genetic interaction and pathway based discovery of key regulators in multiple myeloma. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.588] [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] Open
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24
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Andreeva T, Bozhenkov S, Bykov V, Endler M, Fellinger J, Geiger J, Grahl M, Klinger T, Thomsen H. Influence of deviations in the coil geometry on Wendelstein 7-X plasma equilibrium properties. Fusion Engineering and Design 2017. [DOI: 10.1016/j.fusengdes.2017.04.030] [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] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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25
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Went M, Sud A, Law PJ, Johnson DC, Weinhold N, Försti A, van Duin M, Mitchell JS, Chen B, Kuiper R, Stephens OW, Bertsch U, Campo C, Einsele H, Gregory WM, Henrion M, Hillengass J, Hoffmann P, Jackson GH, Lenive O, Nickel J, Nöthen MM, da Silva Filho MI, Thomsen H, Walker BA, Broyl A, Davies FE, Langer C, Hansson M, Kaiser M, Sonneveld P, Goldschmidt H, Hemminki K, Nilsson B, Morgan GJ, Houlston RS. Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach. Blood Cancer J 2017; 7. [PMID: 28622301 PMCID: PMC5520395 DOI: 10.1038/bcj.2017.48] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Affiliation(s)
- M Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - A Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - P J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - D C Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - N Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - A Försti
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - M van Duin
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - J S Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - B Chen
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - R Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - O W Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - U Bertsch
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, Heidelberg, Germany
| | - C Campo
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - H Einsele
- Department of Internal Medicine II, Division of Hematology and Medical Oncology, University Hospital Würzburg, Würzburg, Germany
| | - W M Gregory
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - M Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - J Hillengass
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - P Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - G H Jackson
- Royal Victoria Infirmary, Newcastle upon Tyne, Newcastle, UK
| | - O Lenive
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - J Nickel
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - M I da Silva Filho
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - H Thomsen
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - B A Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - A Broyl
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - F E Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - C Langer
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - M Hansson
- Division of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Hematology Clinic, Skåne University Hospital, Lund, Sweden
| | - M Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - P Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - H Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, Heidelberg, Germany
| | - K Hemminki
- Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - B Nilsson
- Division of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, Lund, Sweden
- Broad Institute, 7 Cambridge Center, Cambridge, MA, USA
| | - G J Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - R S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- E-mail:
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26
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Alonso JA, Zweben SJ, De Pablos JL, De La Cal E, Hidalgo C, Klinger T, Van Milligen BP, Pedrosa MA, Silva C, Thomsen H. Two-Dimensional Turbulence Analysis Using High-Speed Visible Imaging in TJ-II Edge Plasmas. Fusion Science and Technology 2017. [DOI: 10.13182/fst06-a1250] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- J. A. Alonso
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - S. J. Zweben
- Princeton Plasma Physics Laboratory, Princeton, New Jersey
| | - J. L. De Pablos
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - E. De La Cal
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - C. Hidalgo
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - T. Klinger
- Max-Planck-Institut für Plasmaphysik, EURATOM Association, 17491 Greifswald, Germany
| | - B. Ph. Van Milligen
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - M. A. Pedrosa
- Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain
| | - C. Silva
- Associação Euratom0IST, Centro de Fusão Nuclear, Instituto Superior Técnico, Lisbon, Portugal
| | - H. Thomsen
- Max-Planck-Institut für Plasmaphysik, EURATOM Association, 17491 Greifswald, Germany
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27
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König R, Grigull P, McCormick K, Feng Y, Ehmler H, Gadelmeier F, Giannone L, Hildebrandt D, Kisslinger J, Klinger T, Naujoks D, Ramasubramanian N, Renner H, Sardei F, Thomsen H, Wagner F, Wenzel U, Werner A, Komori A, Masuzaki S, Matsuoka K, Mioduszewski P, Morisaki T, Obiki T, Ohyabu N. Divertors for Helical Devices: Concepts, Plans, Results, and Problems. Fusion Science and Technology 2017. [DOI: 10.13182/fst04-a551] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- R. König
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - P. Grigull
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - K. McCormick
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - Y. Feng
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - H. Ehmler
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - F. Gadelmeier
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - L. Giannone
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - D. Hildebrandt
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - J. Kisslinger
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - T. Klinger
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - D. Naujoks
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - N. Ramasubramanian
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - H. Renner
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - F. Sardei
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - H. Thomsen
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - F. Wagner
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - U. Wenzel
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - A. Werner
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - A. Komori
- National Institute for Fusion Science Toki-shi, Gifu-ken 509-5292, Japan
| | - S. Masuzaki
- National Institute for Fusion Science Toki-shi, Gifu-ken 509-5292, Japan
| | - K. Matsuoka
- National Institute for Fusion Science Toki-shi, Gifu-ken 509-5292, Japan
| | - P. Mioduszewski
- Oak Ridge National Laboratory, P.O. Box 2008, M.S. 6169, Oak Ridge, Tennessee 37831
| | - T. Morisaki
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
| | - T. Obiki
- Kyoto University, Institute of Advanced Energy, Gakasho, Uji, Japan
| | - N. Ohyabu
- Max-Planck-Institut für Plasmaphysik EURATOM Association, D-17491 Greifswald, Germany
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28
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Langenberg A, Svensson J, Thomsen H, Marchuk O, Pablant NA, Burhenn R, Wolf RC. Forward Modeling of X-Ray Imaging Crystal Spectrometers Within the Minerva Bayesian Analysis Framework. Fusion Science and Technology 2017. [DOI: 10.13182/fst15-181] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- A. Langenberg
- Max-Planck-Institut für Plasmaphysik, Greifswald 17491, Germany
| | - J. Svensson
- Max-Planck-Institut für Plasmaphysik, Greifswald 17491, Germany
| | - H. Thomsen
- Max-Planck-Institut für Plasmaphysik, Greifswald 17491, Germany
| | - O. Marchuk
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung-Plasmaphysik, Jülich 52425, Germany
| | - N. A. Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08540
| | - R. Burhenn
- Max-Planck-Institut für Plasmaphysik, Greifswald 17491, Germany
| | - R. C. Wolf
- Max-Planck-Institut für Plasmaphysik, Greifswald 17491, Germany
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29
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Vijayakrishnan J, Kumar R, Henrion MYR, Moorman AV, Rachakonda PS, Hosen I, da Silva Filho MI, Holroyd A, Dobbins SE, Koehler R, Thomsen H, Irving JA, Allan JM, Lightfoot T, Roman E, Kinsey SE, Sheridan E, Thompson PD, Hoffmann P, Nöthen MM, Heilmann-Heimbach S, Jöckel KH, Greaves M, Harrison CJ, Bartram CR, Schrappe M, Stanulla M, Hemminki K, Houlston RS. A genome-wide association study identifies risk loci for childhood acute lymphoblastic leukemia at 10q26.13 and 12q23.1. Leukemia 2017; 31:573-579. [PMID: 27694927 PMCID: PMC5336191 DOI: 10.1038/leu.2016.271] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [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: 06/13/2016] [Revised: 08/26/2016] [Accepted: 09/06/2016] [Indexed: 02/08/2023]
Abstract
Genome-wide association studies (GWASs) have shown that common genetic variation contributes to the heritable risk of childhood acute lymphoblastic leukemia (ALL). To identify new susceptibility loci for the largest subtype of ALL, B-cell precursor ALL (BCP-ALL), we conducted a meta-analysis of two GWASs with imputation using 1000 Genomes and UK10K Project data as reference (totaling 1658 cases and 7224 controls). After genotyping an additional 2525 cases and 3575 controls, we identify new susceptibility loci for BCP-ALL mapping to 10q26.13 (rs35837782, LHPP, P=1.38 × 10-11) and 12q23.1 (rs4762284, ELK3, P=8.41 × 10-9). We also provide confirmatory evidence for the existence of independent risk loci at 9p21.3, but show that the association marked by rs77728904 can be accounted for by linkage disequilibrium with the rare high-impact CDKN2A p.Ala148Thr variant rs3731249. Our data provide further insights into genetic susceptibility to ALL and its biology.
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Affiliation(s)
- J Vijayakrishnan
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - R Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - M Y R Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - A V Moorman
- Leukemia Research Group, Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - P S Rachakonda
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - I Hosen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - M I da Silva Filho
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - A Holroyd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - S E Dobbins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - R Koehler
- Department of Human Genetics, Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany
| | - H Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - J A Irving
- Leukemia Research Group, Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - J M Allan
- Leukemia Research Group, Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - T Lightfoot
- Department of Health Sciences, Epidemiology and Cancer Statistics Group, University of York, York, UK
| | - E Roman
- Department of Health Sciences, Epidemiology and Cancer Statistics Group, University of York, York, UK
| | - S E Kinsey
- Department of Paediatric and Adolescent Haematology and Oncology, Leeds General Infirmary, Leeds, UK
| | - E Sheridan
- Medical Genetics Research Group, Leeds Institute of Biomedical & Clinical Sciences, University of Leeds, Leeds, UK
| | - P D Thompson
- Paediatric and Familial Cancer Research Group, Institute of Cancer Sciences, University of Manchester, St Mary's Hospital, Manchester, UK
| | - P Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Biomedicine, Human Genomics Research Group, University Hospital Basel, Basel, Switzerland
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | | | - K H Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany
| | - M Greaves
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Sutton, UK
| | - C J Harrison
- Leukemia Research Group, Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - C R Bartram
- Department of Human Genetics, Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany
| | - M Schrappe
- General Paediatrics, University Hospital Schleswig-Holstein, Kiel, Germany
| | - M Stanulla
- Department of Paediatric Haematology and Oncology, Hannover Medical School, Hannover, Germany
| | - K Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - R S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
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30
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Krychowiak M, Adnan A, Alonso A, Andreeva T, Baldzuhn J, Barbui T, Beurskens M, Biel W, Biedermann C, Blackwell BD, Bosch HS, Bozhenkov S, Brakel R, Bräuer T, Brotas de Carvalho B, Burhenn R, Buttenschön B, Cappa A, Cseh G, Czarnecka A, Dinklage A, Drews P, Dzikowicka A, Effenberg F, Endler M, Erckmann V, Estrada T, Ford O, Fornal T, Frerichs H, Fuchert G, Geiger J, Grulke O, Harris JH, Hartfuß HJ, Hartmann D, Hathiramani D, Hirsch M, Höfel U, Jabłoński S, Jakubowski MW, Kaczmarczyk J, Klinger T, Klose S, Knauer J, Kocsis G, König R, Kornejew P, Krämer-Flecken A, Krawczyk N, Kremeyer T, Książek I, Kubkowska M, Langenberg A, Laqua HP, Laux M, Lazerson S, Liang Y, Liu SC, Lorenz A, Marchuk AO, Marsen S, Moncada V, Naujoks D, Neilson H, Neubauer O, Neuner U, Niemann H, Oosterbeek JW, Otte M, Pablant N, Pasch E, Sunn Pedersen T, Pisano F, Rahbarnia K, Ryć L, Schmitz O, Schmuck S, Schneider W, Schröder T, Schuhmacher H, Schweer B, Standley B, Stange T, Stephey L, Svensson J, Szabolics T, Szepesi T, Thomsen H, Travere JM, Trimino Mora H, Tsuchiya H, Weir GM, Wenzel U, Werner A, Wiegel B, Windisch T, Wolf R, Wurden GA, Zhang D, Zimbal A, Zoletnik S. Overview of diagnostic performance and results for the first operation phase in Wendelstein 7-X (invited). Rev Sci Instrum 2016; 87:11D304. [PMID: 27910389 DOI: 10.1063/1.4964376] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Wendelstein 7-X, a superconducting optimized stellarator built in Greifswald/Germany, started its first plasmas with the last closed flux surface (LCFS) defined by 5 uncooled graphite limiters in December 2015. At the end of the 10 weeks long experimental campaign (OP1.1) more than 20 independent diagnostic systems were in operation, allowing detailed studies of many interesting plasma phenomena. For example, fast neutral gas manometers supported by video cameras (including one fast-frame camera with frame rates of tens of kHz) as well as visible cameras with different interference filters, with field of views covering all ten half-modules of the stellarator, discovered a MARFE-like radiation zone on the inboard side of machine module 4. This structure is presumably triggered by an inadvertent plasma-wall interaction in module 4 resulting in a high impurity influx that terminates some discharges by radiation cooling. The main plasma parameters achieved in OP1.1 exceeded predicted values in discharges of a length reaching 6 s. Although OP1.1 is characterized by short pulses, many of the diagnostics are already designed for quasi-steady state operation of 30 min discharges heated at 10 MW of ECRH. An overview of diagnostic performance for OP1.1 is given, including some highlights from the physics campaigns.
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Affiliation(s)
- M Krychowiak
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Adnan
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Alonso
- Laboratorio Nacional de Fusión, CIEMAT, Avenida Complutense, Madrid, Spain
| | - T Andreeva
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J Baldzuhn
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Barbui
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - M Beurskens
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - W Biel
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - C Biedermann
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B D Blackwell
- Australian National University, Acton ACT, 2601 Canberra, Australia
| | - H S Bosch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Bozhenkov
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - R Brakel
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Bräuer
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Brotas de Carvalho
- Instituto de Plasmas e Fusao Nuclear, Avenue Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - R Burhenn
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Buttenschön
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Cappa
- Laboratorio Nacional de Fusión, CIEMAT, Avenida Complutense, Madrid, Spain
| | - G Cseh
- Wigner Research Centre for Physics, Konkoly Thege 29-33, H-1121 Budapest, Hungary
| | - A Czarnecka
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - A Dinklage
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - P Drews
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - A Dzikowicka
- University of Szczecin, al. Papieża Jana Pawła II 22A, Szczecin, Poland
| | - F Effenberg
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - M Endler
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - V Erckmann
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Estrada
- Laboratorio Nacional de Fusión, CIEMAT, Avenida Complutense, Madrid, Spain
| | - O Ford
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Fornal
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - H Frerichs
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - G Fuchert
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J Geiger
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Grulke
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J H Harris
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - H J Hartfuß
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - D Hartmann
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - D Hathiramani
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - M Hirsch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - U Höfel
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Jabłoński
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - M W Jakubowski
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J Kaczmarczyk
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - T Klinger
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Klose
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J Knauer
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - G Kocsis
- Wigner Research Centre for Physics, Konkoly Thege 29-33, H-1121 Budapest, Hungary
| | - R König
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - P Kornejew
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Krämer-Flecken
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - N Krawczyk
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - T Kremeyer
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - I Książek
- Opole University, pl. Kopernika 11a, 45-040 Opole, Poland
| | - M Kubkowska
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - A Langenberg
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H P Laqua
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - M Laux
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Lazerson
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - Y Liang
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - S C Liu
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - A Lorenz
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A O Marchuk
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - S Marsen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - V Moncada
- CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
| | - D Naujoks
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H Neilson
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - O Neubauer
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - U Neuner
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H Niemann
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J W Oosterbeek
- Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
| | - M Otte
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - N Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - E Pasch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Sunn Pedersen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - F Pisano
- University of Cagliari, Via Università, 40, 09124 Cagliari, Italy
| | - K Rahbarnia
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - L Ryć
- Institute of Plasma Physics and Laser Microfusion, Hery Street 23, 01-497 Warsaw, Poland
| | - O Schmitz
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - S Schmuck
- Culham Science Centre, Abingdon OX14 3DB, United Kingdom
| | - W Schneider
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Schröder
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H Schuhmacher
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - B Schweer
- Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung - Plasmaphysik, Partner of the Trilateral Euregio Cluster (TEC), 52425 Jülich, Germany
| | - B Standley
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Stange
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - L Stephey
- University of Wisconsin, Engineering Drive, Madison, Wisconsin 53706, USA
| | - J Svensson
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Szabolics
- Wigner Research Centre for Physics, Konkoly Thege 29-33, H-1121 Budapest, Hungary
| | - T Szepesi
- Wigner Research Centre for Physics, Konkoly Thege 29-33, H-1121 Budapest, Hungary
| | - H Thomsen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - J-M Travere
- CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
| | - H Trimino Mora
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H Tsuchiya
- NIFS National Institute for Fusion Science, 322-6 Oroshi-cho, Toki 509-5292, Japan
| | - G M Weir
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - U Wenzel
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Werner
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - B Wiegel
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - T Windisch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - R Wolf
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - G A Wurden
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Zhang
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Zimbal
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - S Zoletnik
- Wigner Research Centre for Physics, Konkoly Thege 29-33, H-1121 Budapest, Hungary
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Møller-Bisgaard S, Ejbjerg BJ, Eshed I, Hørslev-Petersen K, Hetland ML, Jurik AG, Thomsen H, Torfing T, Stengaard-Pedersen K, Junker P, Krogh NS, Lottenburger T, Ellingsen T, Andersen LS, Skjødt H, Svendsen AJ, Tarp U, Hansen IT, Pødenphant J, Pedersen JK, Lindegaard H, Hanson LG, Vestergaard A, Glinatsi D, Østergaard M. Effect of a treat-to-target strategy based on methotrexate and intra-articular betamethasone with or without additional cyclosporin on MRI-assessed synovitis, osteitis, tenosynovitis, bone erosion, and joint space narrowing in early rheumatoid arthritis: results from a 2-year randomized double-blind placebo-controlled trial (CIMESTRA). Scand J Rheumatol 2016; 46:335-345. [PMID: 27775461 DOI: 10.1080/03009742.2016.1209550] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To investigate whether a treat-to-target strategy based on methotrexate (MTX) and intra-articular (IA) betamethasone suppresses magnetic resonance imaging (MRI)-determined measures of disease activity and reduces joint destruction in early rheumatoid arthritis (eRA) patients, and to investigate whether concomitant cyclosporin A (CyA) provides an additional effect. METHOD In the 2-year randomized, double-blind, treat-to-target trial CIMESTRA, 160 patients with eRA (< 6 months) were randomized to MTX, intra-articular betamethasone and CyA, or placebo CyA. A total of 129 patients participated in the MRI substudy, and had contrast-enhanced MR images of the non-dominant hand at months 0, 6, 12, and 24. MR images were evaluated for osteitis, synovitis, tenosynovitis, bone erosion, and joint space narrowing (JSN), using validated scoring methods. RESULTS Significant reductions were seen at 6 months in all inflammatory parameters [synovitis, mean change -1.6 (p < 0.001, Wilcoxon), tenosynovitis, -3.5 (p < 0.001), and osteitis, -1.3 (p < 0.05)] and at 12/24 months in synovitis and tenosynovitis [-1.6/-2.2 and -3.6/-3.8, respectively; all p < 0.001]. MRI signs of inflammation were not fully eliminated, and increases in erosion and JSN scores were observed at 6 months [0.4 (p < 0.01)/0.1 (p < 0.05)], 12 months [0.8 (p < 0.001)/0.3 (p < 0.01)], and 24 months [1.0 (p < 0.001)/0.4 (p < 0.001)]. Clinical measures decreased significantly (p < 0.001) at all time points. There were no consistent statistically significant differences between treatment groups. CONCLUSIONS In this eRA treat-to-target trial, MTX and intra-articular glucocorticoids markedly reduced, but did not eliminate, MRI osteitis, synovitis, and tenosynovitis. Accordingly, minimal but statistically significant increases in bone erosion and JSN were observed. No additional effect of CyA was demonstrated.
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Affiliation(s)
- S Møller-Bisgaard
- a Copenhagen Centre for Arthritis Research, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark.,b Department of Rheumatology , Slagelse Hospital , Slagelse , Denmark
| | - B J Ejbjerg
- b Department of Rheumatology , Slagelse Hospital , Slagelse , Denmark
| | - I Eshed
- c Department of Radiology , Sheba Medical Centre , Tel Hashomer , Israel
| | - K Hørslev-Petersen
- d King Christian X's Hospital for Rheumatic Diseases , Graasten , Denmark
| | - M L Hetland
- a Copenhagen Centre for Arthritis Research, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark.,e The DANBIO Registry, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark
| | - A G Jurik
- f Department of Radiology , Aarhus University Hospital , Aarhus , Denmark
| | - H Thomsen
- g Department of Radiology , Herlev-Gentofte University Hospital , Herlev , Denmark
| | - T Torfing
- h Department of Radiology , Odense University Hospital , Odense , Denmark
| | | | - P Junker
- j Department of Rheumatology , Odense University Hospital , Odense , Denmark
| | - N S Krogh
- k Zitelab ApS , Copenhagen , Denmark
| | - T Lottenburger
- l Department of Rheumatology , Vejle Hospital , Vejle , Denmark
| | - T Ellingsen
- j Department of Rheumatology , Odense University Hospital , Odense , Denmark
| | - L S Andersen
- m Department of Rheumatology , Herlev-Gentofte University Hospital , Gentofte , Denmark
| | - H Skjødt
- a Copenhagen Centre for Arthritis Research, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark
| | - A J Svendsen
- n Department of Epidemiology , Institute of Public Health, University of Southern Denmark , Odense , Denmark
| | - U Tarp
- i Department of Rheumatology , Aarhus University Hospital , Aarhus , Denmark
| | - I T Hansen
- i Department of Rheumatology , Aarhus University Hospital , Aarhus , Denmark
| | - J Pødenphant
- m Department of Rheumatology , Herlev-Gentofte University Hospital , Gentofte , Denmark
| | - J K Pedersen
- j Department of Rheumatology , Odense University Hospital , Odense , Denmark
| | - H Lindegaard
- j Department of Rheumatology , Odense University Hospital , Odense , Denmark
| | - L G Hanson
- o Centre for Functional and Diagnostic Imaging and Research , Danish Research Centre for Magnetic Resonance (DRCMR), Copenhagen University Hospital Hvidovre , Hvidovre , Denmark.,p Biomedical Engineering, Elektro , Technical University of Denmark (DTU) , Lyngby , Denmark
| | - A Vestergaard
- q Department of Radiology , Copenhagen University Hospita Hvidovrel , Hvidovre , Denmark
| | - D Glinatsi
- a Copenhagen Centre for Arthritis Research, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark
| | - M Østergaard
- a Copenhagen Centre for Arthritis Research, Centre for Rheumatology and Spine Diseases , Rigshospitalet , Glostrup , Denmark
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Møller-Bisgaard S, Ejbjerg B, Eshed I, Hørslev-Petersen K, Hetland M, Jurik A, Thomsen H, Torfing T, Stengaard-Pedersen K, Junker P, Krogh N, Lottenburger T, Ellingsen T, Andersen L, Skjødt H, Svendsen A, Tarp U, Hansen I, Pødenphant J, Pedersen J, Lindegaard H, Vestergaard A, Glinatsi D, Østergaard M. FRI0547 Magnetic Resonance Imaging Joint Space Narrowing Is An Independent Predictor of Radiographic and MRI Damage Progression in Patients with Early Rheumatoid Arthritis: Table 1. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.3452] [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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Gilbert MP, Marre M, Holst JJ, Garber A, Baeres FMM, Thomsen H, Pratley RE. COMPARISON OF THE LONG-TERM EFFECTS OF LIRAGLUTIDE AND GLIMEPIRIDE MONOTHERAPY ON BONE MINERAL DENSITY IN PATIENTS WITH TYPE 2 DIABETES. Endocr Pract 2015; 22:406-11. [PMID: 26574791 DOI: 10.4158/ep15758.or] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Patients with type 2 diabetes have an increased risk of fragility fractures; the cause is unclear but is likely multifactorial. Some diabetes treatments induce bone loss, accentuating underlying skeletal fragility and increasing fracture risk. This subgroup analysis aimed to compare long-term effects of liraglutide and glimepiride on bone mineral density (BMD) in patients with type 2 diabetes. METHODS LEAD-3, a 52-week, double-blind, active-control, phase III, multicenter trial, investigated the efficacy of liraglutide (1.2 and 1.8 mg/day) versus glimepiride monotherapy in type 2 diabetes. A 52-week, open-label extension followed, in which participants remained on randomized therapy. A subgroup of participants underwent BMD measurement by dual-energy X-ray absorptiometry at baseline, 52, and 104 weeks. The main outcome measure was change from baseline in total body BMD at 52 and 104 weeks, assessed by analysis of covariance. RESULTS A total of 746 patients with type 2 diabetes aged 19 to 79 years were randomized into the main trial. Of these, 61 patients (20 assigned to liraglutide 1.8 mg/day, 23 to liraglutide 1.2 mg/day, 18 to glimepiride 8 mg/day) had BMD measurements. Baseline age, body mass index, diabetes duration, glycated hemoglobin, and total BMD were similar across treatment groups. There was no apparent difference in mean total BMD change from baseline in patients receiving liraglutide 1.8 or 1.2 mg/day or glimepiride 8 mg/day at 52 or 104 weeks. CONCLUSION In this small subgroup analysis, liraglutide monotherapy did not negatively affect total BMD in a 2-year prospective study, suggesting it may not exacerbate the consequences of bone fragility.
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Møller-Bisgaard S, Ejbjerg B, Eshed I, Hørslev-Petersen K, Jurik A, Vallø J, Thomsen H, Torfing T, Stengaard-Pedersen K, Hetland M, Junker P, Krogh N, Lottenburger T, Ellingsen T, Andersen L, Hansen I, Skjødt H, Svendsen A, Tarp U, Pødenphant J, Pedersen J, Lindegaard H, Østergaard M. FRI0607 Effect of Methotrexate and Intra-Articular Betamethasone with or Without Additional Cyclosporine on Magnetic Resonance Imaging (MRI)-Determined Inflammatory and Destructive Changes in Very Early Rheumatoid Arthritis – Results from a 24-Months' Randomised Double Blind Placebo Controlled Trial. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.2808] [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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Thomsen H, Bonitz M. Resolving structural transitions in spherical dust clusters. Phys Rev E Stat Nonlin Soft Matter Phys 2015; 91:043104. [PMID: 25974599 DOI: 10.1103/physreve.91.043104] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Indexed: 06/04/2023]
Abstract
Finite systems in confining potentials are known to undergo structural transitions similar to phase transitions. However, these systems are inhomogeneous, and their "melting" point may depend on the position in the trap and vary with the particle number. Focusing on three-dimensional Coulomb systems in a harmonic trap a rich physics is revealed: in addition to radial melting we demonstrate the existence of intrashell disordering and intershell angular melting. Our analysis takes advantage of a novel melting criterion that is based on the spatial two- and three-particle distribution functions and the associated reduced entropy which can be directly measured in complex plasma experiments.
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Affiliation(s)
- H Thomsen
- Institut für Theoretische Physik und Astrophysik, Christian-Albrechts-Universität zu Kiel, D-24098 Kiel, Germany
| | - M Bonitz
- Institut für Theoretische Physik und Astrophysik, Christian-Albrechts-Universität zu Kiel, D-24098 Kiel, Germany
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36
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Gulstad MB, Thomsen H. [Ischaemic colitis after loperamide treatment]. Ugeskr Laeger 2015; 177:84-85. [PMID: 25612981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Ischaemic colitis is a potentially mortal illness which usually arises from decreased mesenteric blood flow. Loperamide is used in the treatment of both acute and chronic diarrhoea. We present a case of a 62-year-old man with no history of abdominal illness who was admitted with a distended and sore abdomen. Ten days prior to admission he was treated with loperamide. Because of his severe condition he had an emergency laparotomy which showed a necrotic colon and terminal ileum - both were resected. No thromboembolic cause was found and we therefore suggest loperamide as an inducing factor.
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König R, Biel W, Biedermann C, Burhenn R, Cseh G, Czarnecka A, Endler M, Estrada T, Grulke O, Hathiramani D, Hirsch M, Jabłonski S, Jakubowski M, Kaczmarczyk J, Kasparek W, Kocsis G, Kornejew P, Krämer-Flecken A, Krychowiak M, Kubkowska M, Langenberg A, Laux M, Liang Y, Lorenz A, Neubauer O, Otte M, Pablant N, Pasch E, Pedersen TS, Schmitz O, Schneider W, Schuhmacher H, Schweer B, Thomsen H, Szepesi T, Wiegel B, Windisch T, Wolf S, Zhang D, Zoletnik S. Status of the diagnostics development for the first operation phase of the stellarator Wendelstein 7-X. Rev Sci Instrum 2014; 85:11D818. [PMID: 25430231 DOI: 10.1063/1.4889905] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
An overview of the diagnostics which are essential for the first operational phase of Wendelstein 7-X and the set of diagnostics expected to be ready for operation at this time are presented. The ongoing investigations of how to cope with high levels of stray Electron Cyclotron Resonance Heating (ECRH) radiation in the ultraviolet (UV)/visible/infrared (IR) optical diagnostics are described.
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Affiliation(s)
- R König
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - W Biel
- Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany
| | - C Biedermann
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - R Burhenn
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - G Cseh
- Wigner RCP, RMI, Konkoly Thege 219-33, H-1121 Budapest, Hungary
| | - A Czarnecka
- IFPiLM, Hery Street 23, 01-497 Warsaw, Poland
| | - M Endler
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Estrada
- Laboratorio Nacional de Fusion, CIEMAT, Avenida Complutense, Madrid, Spain
| | - O Grulke
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - D Hathiramani
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - M Hirsch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Jabłonski
- IFPiLM, Hery Street 23, 01-497 Warsaw, Poland
| | - M Jakubowski
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | | | - W Kasparek
- IGVP, Universität Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany
| | - G Kocsis
- Wigner RCP, RMI, Konkoly Thege 219-33, H-1121 Budapest, Hungary
| | - P Kornejew
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - A Krämer-Flecken
- Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany
| | - M Krychowiak
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - M Kubkowska
- IFPiLM, Hery Street 23, 01-497 Warsaw, Poland
| | - A Langenberg
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - M Laux
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - Y Liang
- Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany
| | - A Lorenz
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Neubauer
- Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany
| | - M Otte
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - N Pablant
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - E Pasch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T S Pedersen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - O Schmitz
- Department of Engineering Physics, University of Wisconsin-Madison, 1500 Engineering Drive, Madison, Wisconsin 53706, USA
| | - W Schneider
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - H Schuhmacher
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - B Schweer
- Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany
| | - H Thomsen
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - T Szepesi
- Wigner RCP, RMI, Konkoly Thege 219-33, H-1121 Budapest, Hungary
| | - B Wiegel
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - T Windisch
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Wolf
- IGVP, Universität Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany
| | - D Zhang
- Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
| | - S Zoletnik
- Wigner RCP, RMI, Konkoly Thege 219-33, H-1121 Budapest, Hungary
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Riihimäki M, Hemminki A, Fallah M, Thomsen H, Sundquist K, Sundquist J, Hemminki K. Metastatic sites and survival in lung cancer. Lung Cancer 2014; 86:78-84. [PMID: 25130083 DOI: 10.1016/j.lungcan.2014.07.020] [Citation(s) in RCA: 501] [Impact Index Per Article: 50.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 07/21/2014] [Accepted: 07/25/2014] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Population-based data on metastatic sites and survival in site-specific metastases are lacking for lung cancer and for any cancer because most cancer registries do not record metastases. This study uses a novel population-based approach to identify metastases from both death certificates and national inpatient data to describe metastatic pathways in lung cancer patients. MATERIALS AND METHODS 17,431 deceased lung cancer patients diagnosed 2002-2010 were identified from the nationwide Swedish Cancer Registry, which is based on compulsory reports. The influence of age at diagnosis, sex, and histological subtype on metastatic spread was investigated. Survival in metastatic lung cancer was assessed by histology and metastatic site. RESULTS The most frequent metastatic sites were the nervous system, bone, liver, respiratory system, and adrenal gland. Liver (35%) and nervous system (47%) metastases were common in patients with metastases from small cell lung cancer, and bone (39%) and respiratory system (22%) metastases in adenocarcinoma. Women (43% vs. 35%) and younger patients had more metastases to the nervous system. Median survival after diagnosis was 13 months for non-metastatic and five months for metastatic lung cancer. In this novel data, liver metastases conferred the worst prognosis (three months), especially for large cell histology. Bone metastases also featured poor survival, whereas survival in respiratory and nervous system metastases was better. CONCLUSION Metastatic sites and survival in metastatic lung cancer is influenced by sex, histological subtype, and age at diagnosis. Liver and bone metastases signal poor survival, compared with nervous system metastases.
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Affiliation(s)
- M Riihimäki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany; Center for Primary Health Care Research, Lund University, Malmö, Sweden.
| | - A Hemminki
- Cancer Gene Therapy Group, Transplantation Laboratory & Haartman Institute, University of Helsinki, 00290 Helsinki, Finland
| | - M Fallah
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
| | - H Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
| | - K Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden; Stanford Prevention Research Center, Stanford University School of Medicine, CA, USA
| | - J Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden; Stanford Prevention Research Center, Stanford University School of Medicine, CA, USA
| | - K Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany; Center for Primary Health Care Research, Lund University, Malmö, Sweden
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39
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Thomsen H, Preetz W. Darstellung, 11B-und 19F-NMR-Spektren des Monofluoropentaiodo- closo-hexaboratanions sowie Kristallstruktur von (CH2Py2)[B6FI5]/ Synthesis, 11B and 19F NMR Spectra of the Monofluoropentaiodo-closo-hexaborate Anion and the Crystal Structure of (CH2Py2)[B6FI5]. Zeitschrift für Naturforschung B 2014. [DOI: 10.1515/znb-1998-0808] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
By reaction of closo-[B6H5F]2- in alkaline solution with excess iodine the monofluoropentaiodo- closo-hexaborate anion [B6FI5]2- is formed in good yield. The crystal structure of (CH2Py2)[B6FI5] has been determined by single crystal X-ray diffraction analysis (orthorhombic, space group Pnma, a = 13.803(2), b = 11.759(2), c = 13.936(2) Å, Z = 4). The B-F-bond length is 1.41 Å, the B-I distances range from 2.13 to 2.17 Å, the B-B distances from 1.69 to 1.76 A. According to the C4v point symmetry the 11B NMR spectrum of the anion exhibits three singlets at +3.8,-30.1 and-33.3 ppm with the intensity ratio 1:4:1, the 19F NMR spectrum one quartet at -247.6 ppm with the coupling constant 1J (19F, 11B) = 54 Hz.
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Affiliation(s)
- H. Thomsen
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Ohlshausenstraße 40, D-24098 Kiel
| | - W. Preetz
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Ohlshausenstraße 40, D-24098 Kiel
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40
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Franken A, Thomsen H, P reetz W. Darstellung und 11B-NMR-Spektrum von Heptabromo-closo-heptaborat, [B7Br7]2- sowie Kristallstruktur von [(C5H5N)2CH2][B7Br7] / Preparation and 11B NMR Spectrum of Heptabromo-closo-heptaborate, [B7Br7]2-, and the Crystal Structure of [(C5H5N)2CH2][B7Br7]. Zeitschrift für Naturforschung B 2014. [DOI: 10.1515/znb-1996-0521] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
By reaction of conjuncto-[B6H6-B6H6]2- in alkaline solution with excess bromine the heptabromo-closo-heptaborate, [B7Br7]2 is formed. The crystal structure of [(CsH3N)2CH2][B7Br7] has been determined by single crystal X-ray diffraction analysis (monoclinic, space group P21/a with a = 15.0843(14), b = 9.8882(14), c = 17.057(2) Å, β = 114.039°(7)). In accordance with the D5h point symmetry, the anion shows two singlets at -23.3 and -0.1 ppm with the intensity ratio 2:5 in its 11B NMR spectrum.
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Affiliation(s)
- A. Franken
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstraße 40, D-24098 Kiel
| | - H. Thomsen
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstraße 40, D-24098 Kiel
| | - W. P reetz
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstraße 40, D-24098 Kiel
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41
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Bublitz D, Franken A, Preetz W, Thomsen H. Darstellung, 11B-NMR-Spektren, Schwingungsspektren und Normalkoordinatenanalyse von conjuncto-Bis-hexahydro-closo-hexaborat, [B6H6-B6H6]2-, sowie Kristallstruktur von [P(C6H5)4]2-conjuncto-[B6H6-B6H6] / Preparation, 11B NMR Spectra, Vibrational Spectra and Normal Coordinate Analysis of conjuncto-Bis-hexahydro-closo-hexaborate, [B6H6-B6H6]2-, and the Crystal Structure of [ P(C6H5)4]2-conjuncto-[B6H6-B6H6]. Zeitschrift für Naturforschung B 2014. [DOI: 10.1515/znb-1996-0501] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
By reaction of [B6H6]2- with dibenzoylperoxide in dichloromethane conjuncto-[B6H6- B6H6]2- is formed. The product could be separated from excess [B6H6]2- by ion exchange chromatography on diethylaminoethyl cellulose. The crystal structure of [P(C6H5)4]2 -conjuncto- [B6H6-B6H6] has been determined by single crystal X-ray diffraction analysis; triclinic, space group P1̄ with a = 10.8315(10), b = 11,2422( 12), c = 20.340(2) Å, α = 91.278° (9), β = 90.178° (9), γ = 105.662°(9). The 11B NMR spectrum reveals three signals with the intensity ratio 1:1:4, for two equivalent moieties of the conjuncto molecule ion with local C4v symmetry. The IR and Raman spectra of the deprotonated Cs salts of the 10B, 11B and their respective D isotopomers of conjuncto-[B6H5-B6H5]4- exhibit characteristic shifts. Using averaged crystallographic data and assuming idealized D4h symmetry, normal coordinate analyses have been performed based on a modified valence force field. With a set of eleven force constants (e.g. fd(BB)conjuncto = 2.9, fd(BB)cage = 1.6 mdyn/Å) very good agreement between observed and calculated frequencies has been achieved. From strong vibrational coupling with the B6 clusters two vibrations result for the conjuncto B-B bond at 1142/1198 and 292/304cm-1 for 11B/10B species, respectively. They can be assigned as anti-phase and in-phase motions of the conjuncto B atoms related to the equatorial B4 planes.
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Affiliation(s)
- D. Bublitz
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098 Kiel
| | - A. Franken
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098 Kiel
| | - W. Preetz
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098 Kiel
| | - H. Thomsen
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098 Kiel
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Steuer B, Thomsen H, Preetz W. ab-initio-Rechnungen, Schwingungsspektren und Normalkoordinatenanalyse von closo-[B6H5F]2– / ab initio Calculations, Vibrational Spectra, and Normal Coordinate Analysis of closo-[B6H5F]2–. Zeitschrift für Naturforschung B 2014. [DOI: 10.1515/znb-1997-0402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The structural parameters of closo-[B6H5F]2- with C4v symmetry have been determined by MP2/6-31G* optimization. They reveal typical B-F and B-B bond lenghts of 143.4 and 172.5 -173.9 pm, respectively. A frequency analysis at the same theoretical level has been performed. The vibrational spectra of [B6H5F]2- labelled with 10B, 11B and D have been additionally assigned by normal coordinate analysis based on a modified valence force field using the ab initio structure parameters. With a set of 10 force constants (e.g. fd(BB)=1.92, fd(BF)=5.25 mdyn/Å) a good agreement between observed and calculated frequencies can be achieved. The results correspond with the scaled (Fscale=0.97) ab initio frequencies and assignments.
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Affiliation(s)
- B. Steuer
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098-Kiel
| | - H. Thomsen
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098-Kiel
| | - W. Preetz
- Institut für Anorganische Chemie der Christian-Albrechts-Universität, Olshausenstr. 40, D-24098-Kiel
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Boesen L, Nørgaard N, Chabanova E, Løgager V, Balslev I, Mikines K, Thomsen H. MP67-04 MULTIPARAMETRIC MRI CAN IMPROVE THE DETECTION RATE OF PROSTATE CANCER AND UPGRADE THE GLEASON SCORE AT REPEATED BIOPSY. J Urol 2014. [DOI: 10.1016/j.juro.2014.02.2071] [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: 11/30/2022]
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44
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Edling P, Thomsen H. [Acute oesophageal necrosis in patients with diabetic ketoacidosis]. Ugeskr Laeger 2013; 175:V05130342. [PMID: 25353192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Acute oesophageal necrosis is a rarely seen phenomenon, occurring in situations with ischaemic insult in combination with gastric outlet obstruction or gastro-oesophageal reflux. The hallmark is circumferential necrosis of the oesophageal mucosa and it is associated with a high mortality. Two patients presented with haematemesis. They were admitted to hospital in a state of diabetic ketoacidosis. Endoscopy revealed acute oesophageal necrosis. They were stabilized and treated with high-dose proton pump inhibitors. Both patients recovered and were discharged without sequelae.
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Affiliation(s)
- Poul Edling
- Kirurgisk Afdeling, Regionshospitalet Horsens.
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45
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Gulstad MB, Thomsen H. [Spontaneous rupture of the spleen after infectious mononucleosis]. Ugeskr Laeger 2013; 175:2565-2566. [PMID: 24629153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Non-traumatic rupture of the spleen (NRS) is a rare but serious complication to infectious mononucleosis (IM) and it is important to have in mind, when patients have IM. Although splenectomy has been advocated as the appropriate treatment for this problem, the trend goes towards conservative treatment of the haemodynamically stable patients, but because of its rarity no clear guidelines have been suggested. We present a case of a 18-year-old boy with IM who had NRS with subcapsular haematoma and was treated conservatively. He recovered completely.
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Schülke M, Cardella A, Hathiramani D, Mettchen S, Thomsen H, Weißflog S, Zacharias D. Technology development of the soft X-ray tomography system in Wendelstein 7-X stellarator. Fusion Engineering and Design 2013. [DOI: 10.1016/j.fusengdes.2013.01.047] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Li D, Svensson J, Thomsen H, Medina F, Werner A, Wolf R. Bayesian soft X-ray tomography using non-stationary Gaussian Processes. Rev Sci Instrum 2013; 84:083506. [PMID: 24007064 DOI: 10.1063/1.4817591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
In this study, a Bayesian based non-stationary Gaussian Process (GP) method for the inference of soft X-ray emissivity distribution along with its associated uncertainties has been developed. For the investigation of equilibrium condition and fast magnetohydrodynamic behaviors in nuclear fusion plasmas, it is of importance to infer, especially in the plasma center, spatially resolved soft X-ray profiles from a limited number of noisy line integral measurements. For this ill-posed inversion problem, Bayesian probability theory can provide a posterior probability distribution over all possible solutions under given model assumptions. Specifically, the use of a non-stationary GP to model the emission allows the model to adapt to the varying length scales of the underlying diffusion process. In contrast to other conventional methods, the prior regularization is realized in a probability form which enhances the capability of uncertainty analysis, in consequence, scientists who concern the reliability of their results will benefit from it. Under the assumption of normally distributed noise, the posterior distribution evaluated at a discrete number of points becomes a multivariate normal distribution whose mean and covariance are analytically available, making inversions and calculation of uncertainty fast. Additionally, the hyper-parameters embedded in the model assumption can be optimized through a Bayesian Occam's Razor formalism and thereby automatically adjust the model complexity. This method is shown to produce convincing reconstructions and good agreements with independently calculated results from the Maximum Entropy and Equilibrium-Based Iterative Tomography Algorithm methods.
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Affiliation(s)
- Dong Li
- Max Planck Institute for Plasma Physics, Teilinstitut, D-17491 Greifswald, Germany
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48
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Korsatko S, Deller S, Koehler G, Mader JK, Neubauer K, Adrian CL, Thomsen H, Haahr H, Pieber TR. A Comparison of the Steady-State Pharmacokinetic and Pharmacodynamic Profiles of 100 and 200 U/mL Formulations of Ultra-Long-Acting Insulin Degludec. Clin Drug Investig 2013; 33:515-21. [DOI: 10.1007/s40261-013-0096-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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49
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Thomsen H, Nielsen. Optimal management of acute nonrenal adverse reactions to iodine-based contrast media. RMI 2013. [DOI: 10.2147/rmi.s35589] [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: 11/23/2022] Open
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50
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König R, Baldzuhn J, Biedermann C, Burhenn R, Bozhenkov S, Cardella A, Endler M, Hartfuss HJ, Hathiramani D, Hildebrandt D, Hirsch M, Jakubowski M, Kocsis G, Kornejev P, Krychowiak M, Laqua HP, Laux M, Oosterbeek JW, Pasch E, Richert T, Schneider W, Sunn-Pedersen T, Thomsen H, Weller A, Werner A, Wolf R, Zhang D, Zoletnik S. Diagnostics development for quasi-steady-state operation of the Wendelstein 7-X stellarator (invited). Rev Sci Instrum 2012; 83:10D730. [PMID: 23126902 DOI: 10.1063/1.4733531] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The critical issues in the development of diagnostics, which need to work robust and reliable under quasi-steady state conditions for the discharge durations of 30 min and which cannot be maintained throughout the one week duration of each operation phase of the Wendelstein 7-X stellarator, are being discussed.
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Affiliation(s)
- R König
- Max-Planck-Institut für Plasmaphysik, EURATOM Association, Greifswald, Germany.
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