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Zhang Y, Lang M, Jiang J, Gao Z, Xu F, Litfin T, Chen K, Singh J, Huang X, Song G, Tian Y, Zhan J, Chen J, Zhou Y. Multiple sequence alignment-based RNA language model and its application to structural inference. Nucleic Acids Res 2024; 52:e3. [PMID: 37941140 PMCID: PMC10783488 DOI: 10.1093/nar/gkad1031] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 10/21/2023] [Indexed: 11/10/2023] Open
Abstract
Compared with proteins, DNA and RNA are more difficult languages to interpret because four-letter coded DNA/RNA sequences have less information content than 20-letter coded protein sequences. While BERT (Bidirectional Encoder Representations from Transformers)-like language models have been developed for RNA, they are ineffective at capturing the evolutionary information from homologous sequences because unlike proteins, RNA sequences are less conserved. Here, we have developed an unsupervised multiple sequence alignment-based RNA language model (RNA-MSM) by utilizing homologous sequences from an automatic pipeline, RNAcmap, as it can provide significantly more homologous sequences than manually annotated Rfam. We demonstrate that the resulting unsupervised, two-dimensional attention maps and one-dimensional embeddings from RNA-MSM contain structural information. In fact, they can be directly mapped with high accuracy to 2D base pairing probabilities and 1D solvent accessibilities, respectively. Further fine-tuning led to significantly improved performance on these two downstream tasks compared with existing state-of-the-art techniques including SPOT-RNA2 and RNAsnap2. By comparison, RNA-FM, a BERT-based RNA language model, performs worse than one-hot encoding with its embedding in base pair and solvent-accessible surface area prediction. We anticipate that the pre-trained RNA-MSM model can be fine-tuned on many other tasks related to RNA structure and function.
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Affiliation(s)
- Yikun Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China
- AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzen 518055, China
| | - Mei Lang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Jiuhong Jiang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Zhiqiang Gao
- Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
- Peng Cheng Laboratory, Shenzhen 518066, China
| | - Fan Xu
- Peng Cheng Laboratory, Shenzhen 518066, China
| | - Thomas Litfin
- Institute for Glycomics, Griffith University, Parklands Dr, Southport, QLD 4215, Australia
| | - Ke Chen
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Jaswinder Singh
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | | | - Guoli Song
- Peng Cheng Laboratory, Shenzhen 518066, China
| | | | - Jian Zhan
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Jie Chen
- School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China
- Peng Cheng Laboratory, Shenzhen 518066, China
| | - Yaoqi Zhou
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
- Institute for Glycomics, Griffith University, Parklands Dr, Southport, QLD 4215, Australia
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Jermann N, Krusche B, Metag V, Afzal F, Badea M, Beck R, Bielefeldt P, Bieling J, Biroth M, Blanke E, Borisov N, Bornstein M, Brinkmann KT, Ciupka S, Crede V, Dolzhikov A, Drexler P, Dutz H, Elsner D, Fedorov A, Frommberger F, Gardner S, Ghosal D, Goertz S, Gorodnov I, Grüner M, Hammann C, Hartmann J, Hillert W, Hoffmeister P, Honisch C, Jude TC, Kalischewski F, Ketzer B, Klassen P, Klein F, Klempt E, Knaust J, Kolanus N, Kreit J, Krönert P, Lang M, Lazarev AB, Livingston K, Lutterer S, Mahlberg P, Meier C, Meyer W, Mitlasoczki B, Müllers J, Nanova M, Neganov A, Nikonov K, Noël JF, Ostrick M, Ottnad J, Otto B, Penman G, Poller T, Proft D, Reicherz G, Reinartz N, Richter L, Runkel S, Salisbury B, Sarantsev AV, Schaab D, Schmidt C, Schmieden H, Schultes J, Seifen T, Spieker K, Stausberg N, Steinacher M, Taubert F, Thiel A, Thoma U, Thomas A, Urban M, Urff G, Usov Y, van Pee H, Wang YC, Wendel C, Wiedner U, Wunderlich Y. Measurement of polarization observables T, P, and H in π0 and η photoproduction off quasi-free nucleons. Eur Phys J A Hadron Nucl 2023; 59:232. [PMID: 37860634 PMCID: PMC10582157 DOI: 10.1140/epja/s10050-023-01134-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/21/2023] [Indexed: 10/21/2023]
Abstract
The target asymmetry T, recoil asymmetry P, and beam-target double polarization observable H were determined in exclusive π 0 and η photoproduction off quasi-free protons and, for the first time, off quasi-free neutrons. The experiment was performed at the electron stretcher accelerator ELSA in Bonn, Germany, with the Crystal Barrel/TAPS detector setup, using a linearly polarized photon beam and a transversely polarized deuterated butanol target. Effects from the Fermi motion of the nucleons within deuterium were removed by a full kinematic reconstruction of the final state invariant mass. A comparison of the data obtained on the proton and on the neutron provides new insight into the isospin structure of the electromagnetic excitation of the nucleon. Earlier measurements of polarization observables in the γ p → π 0 p and γ p → η p reactions are confirmed. The data obtained on the neutron are of particular relevance for clarifying the origin of the narrow structure in the η n system at W = 1.68 GeV . A comparison with recent partial wave analyses favors the interpretation of this structure as arising from interference of the S 11 ( 1535 ) and S 11 ( 1650 ) resonances within the S 11 -partial wave.
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Affiliation(s)
- N. Jermann
- Department of Physics, University of Basel, Basel, Switzerland
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - B. Krusche
- Department of Physics, University of Basel, Basel, Switzerland
| | - V. Metag
- II. Physikalisches Institut, University of Giessen, Giessen, Germany
| | - F. Afzal
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Badea
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - R. Beck
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - P. Bielefeldt
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. Bieling
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Biroth
- Institut für Kernphysik, University of Mainz, Mainz, Germany
| | - E. Blanke
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - N. Borisov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M. Bornstein
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - K.-T. Brinkmann
- II. Physikalisches Institut, University of Giessen, Giessen, Germany
| | - S. Ciupka
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - V. Crede
- Department of Physics, Florida State University, Tallahassee, USA
| | - A. Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - P. Drexler
- Institut für Kernphysik, University of Mainz, Mainz, Germany
| | - H. Dutz
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - D. Elsner
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - A. Fedorov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - F. Frommberger
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - S. Gardner
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - D. Ghosal
- Department of Physics, University of Basel, Basel, Switzerland
- Present Address: resent address: University of Liverpool, Liverpool, UK
| | - S. Goertz
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - I. Gorodnov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M. Grüner
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - C. Hammann
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. Hartmann
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - W. Hillert
- Physikalisches Institut, University of Bonn, Bonn, Germany
- Present Address: resent address: University of Hamburg, Hamburg, Germany
| | - P. Hoffmeister
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - C. Honisch
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - T. C. Jude
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - F. Kalischewski
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - B. Ketzer
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - P. Klassen
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - F. Klein
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - E. Klempt
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. Knaust
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - N. Kolanus
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. Kreit
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - P. Krönert
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Lang
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | | | - K. Livingston
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. Lutterer
- Department of Physics, University of Basel, Basel, Switzerland
- Present Address: resent address: Ruhr University Bochum, Bochum, Germany
| | - P. Mahlberg
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - C. Meier
- Department of Physics, University of Basel, Basel, Switzerland
| | - W. Meyer
- Institut für Experimentalphysik I, Ruhr University Bochum, Bochum, Germany
| | - B. Mitlasoczki
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. Müllers
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Nanova
- II. Physikalisches Institut, University of Giessen, Giessen, Germany
| | - A. Neganov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - K. Nikonov
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - J. F. Noël
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Ostrick
- Institut für Kernphysik, University of Mainz, Mainz, Germany
| | - J. Ottnad
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - B. Otto
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - G. Penman
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - T. Poller
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - D. Proft
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - G. Reicherz
- Institut für Experimentalphysik I, Ruhr University Bochum, Bochum, Germany
| | - N. Reinartz
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - L. Richter
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - S. Runkel
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - B. Salisbury
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - A. V. Sarantsev
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - D. Schaab
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - C. Schmidt
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - H. Schmieden
- Physikalisches Institut, University of Bonn, Bonn, Germany
| | - J. Schultes
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - T. Seifen
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - K. Spieker
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - N. Stausberg
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - M. Steinacher
- Department of Physics, University of Basel, Basel, Switzerland
| | - F. Taubert
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - A. Thiel
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - U. Thoma
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - A. Thomas
- Institut für Kernphysik, University of Mainz, Mainz, Germany
| | - M. Urban
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - G. Urff
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - Y. Usov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - H. van Pee
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - Y. C. Wang
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - C. Wendel
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - U. Wiedner
- Institut für Experimentalphysik I, Ruhr University Bochum, Bochum, Germany
| | - Y. Wunderlich
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
| | - CBELSA/TAPS Collaboration
- Department of Physics, University of Basel, Basel, Switzerland
- Helmholtz-Institut für Strahlen-und Kernphysik, University of Bonn, Bonn, Germany
- II. Physikalisches Institut, University of Giessen, Giessen, Germany
- Institut für Kernphysik, University of Mainz, Mainz, Germany
- Joint Institute for Nuclear Research, Dubna, Russia
- Department of Physics, Florida State University, Tallahassee, USA
- Physikalisches Institut, University of Bonn, Bonn, Germany
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- Institut für Experimentalphysik I, Ruhr University Bochum, Bochum, Germany
- Present Address: resent address: University of Liverpool, Liverpool, UK
- Present Address: resent address: University of Hamburg, Hamburg, Germany
- Present Address: resent address: Ruhr University Bochum, Bochum, Germany
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Lang M, Zhou DB, Cao XX. [Mutation pedigree and treatment selection of Erdheim-Chester disease]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:876-880. [PMID: 38049347 PMCID: PMC10694082 DOI: 10.3760/cma.j.issn.0253-2727.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Indexed: 12/06/2023]
Affiliation(s)
- M Lang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - D B Zhou
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X X Cao
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Lang M, Tabari A, Polak D, Ford J, Clifford B, Lo WC, Manzoor K, Splitthoff DN, Wald LL, Rapalino O, Schaefer P, Conklin J, Cauley S, Huang SY. Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction Technique for 3D MR Imaging in the Inpatient and Emergency Department Settings. AJNR Am J Neuroradiol 2023; 44:125-133. [PMID: 36702502 PMCID: PMC9891324 DOI: 10.3174/ajnr.a7777] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/11/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE A scout accelerated motion estimation and reduction (SAMER) framework has been developed for efficient retrospective motion correction. The goal of this study was to perform an initial evaluation of SAMER in a series of clinical brain MR imaging examinations. MATERIALS AND METHODS Ninety-seven patients who underwent MR imaging in the inpatient and emergency department settings were included in the study. SAMER motion correction was retrospectively applied to an accelerated T1-weighted MPRAGE sequence that was included in brain MR imaging examinations performed with and without contrast. Two blinded neuroradiologists graded images with and without SAMER motion correction on a 5-tier motion severity scale (none = 1, minimal = 2, mild = 3, moderate = 4, severe = 5). RESULTS The median SAMER reconstruction time was 1 minute 47 seconds. SAMER motion correction significantly improved overall motion grades across all examinations (P < .005). Motion artifacts were reduced in 28% of cases, unchanged in 64% of cases, and increased in 8% of cases. SAMER improved motion grades in 100% of moderate motion cases and 75% of severe motion cases. Sixty-nine percent of nondiagnostic motion cases (grades 4 and 5) were considered diagnostic after SAMER motion correction. For cases with minimal or no motion, SAMER had negligible impact on the overall motion grade. For cases with mild, moderate, and severe motion, SAMER improved the motion grade by an average of 0.3 (SD, 0.5), 1.1 (SD, 0.3), and 1.1 (SD, 0.8) grades, respectively. CONCLUSIONS SAMER improved the diagnostic image quality of clinical brain MR imaging examinations with motion artifacts. The improvement was most pronounced for cases with moderate or severe motion.
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Affiliation(s)
- M Lang
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - A Tabari
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - D Polak
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Siemens Healthcare GmbH (D.P., D.N.S.), Erlangen, Germany
| | - J Ford
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - B Clifford
- Siemens Medical Solutions (B.C., W.-C.L.), Boston, Massachusetts
| | - W-C Lo
- Siemens Medical Solutions (B.C., W.-C.L.), Boston, Massachusetts
| | - K Manzoor
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - D N Splitthoff
- Siemens Healthcare GmbH (D.P., D.N.S.), Erlangen, Germany
| | - L L Wald
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
- Harvard-MIT Health Sciences and Technology (L.L.W.), Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - O Rapalino
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - P Schaefer
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - J Conklin
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - S Cauley
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
| | - S Y Huang
- From the Department of Radiology (M.L., A.T., D.P., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
- Harvard Medical School (M.L., A.T., J.F., K.M., L.L.W., O.R., P.S., J.C., S.C., S.Y.H.), Boston, Massachusetts
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George JP, Bürkner PC, Sanders TGM, Neumann M, Cammalleri C, Vogt JV, Lang M. Long-term forest monitoring reveals constant mortality rise in European forests. Plant Biol (Stuttg) 2022; 24:1108-1119. [PMID: 36169609 DOI: 10.1111/plb.13469] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 08/06/2022] [Indexed: 06/16/2023]
Abstract
European forests are an important source for timber production, human welfare, income, protection and biodiversity. During the last two decades, Europe has experienced a number of droughts which have been exceptional within the last 500 years, both in terms of duration and intensity. These droughts seem to leave remarkable imprints on the mortality dynamics of European forests. However, systematic observations on tree decline, with emphasis on a single species, has been scarce so far so that our understanding of mortality dynamics and drought occurrence is still limited at a continental scale. Here, we make use of the ICP Forest crown defoliation dataset, permitting us to retrospectively monitor tree mortality for all major conifers, major broadleaves, as well as a pooled dataset of minor tree species in Europe. In total, we analysed more than three million observations gathered during the last 25 years and employed a high-resolution drought index which can assess soil moisture anomaly based on a hydrological water-balance and runoff model. We found overall and species-specific increasing trends in mortality rates, accompanied by decreasing soil moisture. A generalized linear mixed model identified a previous-year soil moisture anomaly as the most important driver of mortality patterns in conifers, but the response was not uniform across the numerous analysed plots. We conclude that mortality patterns in European forests are currently reaching a concerning upward trend which could be further accelerated by global change-type droughts in the near future.
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Affiliation(s)
- J-P George
- Tartu Observatory, University of Tartu, Faculty of Science & Technology, Tõravere, Estonia
| | - P-C Bürkner
- Excellence Cluster for Simulation Technology, University of Stuttgart, Stuttgart, Germany
| | - T G M Sanders
- Thünen-Institut of Forest Ecosystems, Eberswalde, Germany
- University of Bayreuth, Bayreuth, Germany
| | - M Neumann
- Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria
| | - C Cammalleri
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - J V Vogt
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - M Lang
- Tartu Observatory, University of Tartu, Faculty of Science & Technology, Tõravere, Estonia
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6
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Agarmani Y, Hartmann S, Zimmermann J, Gati E, Delleske C, Tutsch U, Wolf B, Lang M. Advanced technique for measuring relative length changes under control of temperature and helium-gas pressure. Rev Sci Instrum 2022; 93:113902. [PMID: 36461492 DOI: 10.1063/5.0099412] [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: 05/17/2022] [Accepted: 09/28/2022] [Indexed: 06/17/2023]
Abstract
We report the realization of an advanced technique for measuring relative length changes ΔL/L of mm-sized samples under the control of temperature (T) and helium-gas pressure (P). The system, which is an extension of the apparatus described in the work of Manna et al. [Rev. Sci. Instrum. 83, 085111 (2012)], consists of two 4He-bath cryostats, each of which houses a pressure cell and a capacitive dilatometer. The interconnection of the pressure cells, the temperature of which can be controlled individually, opens up various modes of operation to perform measurements of ΔL/L under the variation of temperature and pressure. Special features of this apparatus include the possibility (1) to increase the pressure to values far in excess of the external pressure reservoir, (2) to substantially improve the pressure stability during temperature sweeps, (3) to enable continuous pressure sweeps with both decreasing and increasing pressure, and (4) to simultaneously measure the dielectric constant of the pressure-transmitting medium, viz., helium, εr He(T,P), along the same T-P trajectory as that used for taking the ΔL(T, P)/L data. The performance of the setup is demonstrated by measurements of relative length changes (ΔL/L)T at T = 180 K of single crystalline NaCl upon continuously varying the pressure in the range 6 ≤ P ≤ 40 MPa.
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Affiliation(s)
- Y Agarmani
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - S Hartmann
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - J Zimmermann
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - E Gati
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - C Delleske
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - U Tutsch
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - B Wolf
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
| | - M Lang
- Institute of Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany
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7
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Börner C, Staisch J, Hauser A, Lang M, Frohnmüller M, Hannibal I, Huß K, Kruse S, Klose B, Lechner M, Sollmann N, Landgraf M, Heinen F, Bonfert M. P 45 Satisfaction with and safety of repetitive neuromuscular magnetic stimulation in children with headache disorders. Clin Neurophysiol 2022. [DOI: 10.1016/j.clinph.2022.01.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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8
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Börner C, Staisch J, Hauser A, Lang M, Frohnmüller M, Hannibal I, Huß K, Kruse S, Klose B, Lechner M, Sollmann N, Landgraf M, Heinen F, Bonfert M. P 46 Effects of repetitive neuromuscular magnetic stimulation targeting to the upper trapezius muscles in children with headache disorders. Clin Neurophysiol 2022. [DOI: 10.1016/j.clinph.2022.01.077] [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: 11/27/2022]
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9
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Lampl B, Lang M, Jochem C, Leitzmann M, Salzberger B. COVID or not COVID: attributing and reporting cause of death in a community cohort. Public Health 2022; 205:157-163. [PMID: 35287022 PMCID: PMC8916663 DOI: 10.1016/j.puhe.2022.02.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 02/02/2022] [Accepted: 02/07/2022] [Indexed: 12/18/2022]
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10
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Stierhof J, Kühn S, Winter M, Micke P, Steinbrügge R, Shah C, Hell N, Bissinger M, Hirsch M, Ballhausen R, Lang M, Gräfe C, Wipf S, Cumbee R, Betancourt-Martinez GL, Park S, Niskanen J, Chung M, Porter FS, Stöhlker T, Pfeifer T, Brown GV, Bernitt S, Hansmann P, Wilms J, Crespo López-Urrutia JR, Leutenegger MA. A new benchmark of soft X-ray transition energies of Ne , CO 2 , and SF 6 : paving a pathway towards ppm accuracy. Eur Phys J D At Mol Opt Phys 2022; 76:38. [PMID: 35273463 PMCID: PMC8888507 DOI: 10.1140/epjd/s10053-022-00355-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/23/2022] [Indexed: 06/14/2023]
Abstract
ABSTRACT A key requirement for the correct interpretation of high-resolution X-ray spectra is that transition energies are known with high accuracy and precision. We investigate the K-shell features of Ne , CO 2 , and SF 6 gases, by measuring their photo ion-yield spectra at the BESSY II synchrotron facility simultaneously with the 1s-np fluorescence emission of He-like ions produced in the Polar-X EBIT. Accurate ab initio calculations of transitions in these ions provide the basis of the calibration. While the CO 2 result agrees well with previous measurements, the SF 6 spectrum appears shifted by ∼ 0.5 eV, about twice the uncertainty of the earlier results. Our result for Ne shows a large departure from earlier results, but may suffer from larger systematic effects than our other measurements. The molecular spectra agree well with our results of time-dependent density functional theory. We find that the statistical uncertainty allows calibrations in the desired range of 1-10 meV, however, systematic contributions still limit the uncertainty to ∼ 40-100 meV, mainly due to the temporal stability of the monochromator energy scale. Combining our absolute calibration technique with a relative energy calibration technique such as photoelectron energy spectroscopy will be necessary to realize its full potential of achieving uncertainties as low as 1-10 meV.
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Affiliation(s)
- J. Stierhof
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - S. Kühn
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
| | - M. Winter
- Institute of Theoretical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstr. 7/B2, 91058 Erlangen, Germany
- CNRS, Institut NEEL, Université Grenoble Alpes, CNRS, Institut NEEL, 25 rue des Martyrs BP 166, 38042 Grenoble Cedex 9, France
| | - P. Micke
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
- CERN, 1211 Geneva 23, Switzerland
| | - R. Steinbrügge
- Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany
| | - C. Shah
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771 USA
- Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550 USA
| | - N. Hell
- Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550 USA
| | - M. Bissinger
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - M. Hirsch
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - R. Ballhausen
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - M. Lang
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - C. Gräfe
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | - S. Wipf
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
| | - R. Cumbee
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771 USA
- Department of Astronomy, University of Maryland, College Park, MD 20742 USA
| | - G. L. Betancourt-Martinez
- Institut de Recherche en Astrophysique et Planétologie, 9, avenue du Colonel Roche BP 44346, 31028 Toulouse Cedex 4, France
| | - S. Park
- Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan, South Korea
| | - J. Niskanen
- Institute for Methods and Instrumentation in Synchrotron Radiation Research G-ISRR, Helmholtz-Zentrum Berlin für Materialien und Energie, Albert-Einstein-Strasse 15, 12489 Berlin, Germany
| | - M. Chung
- Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan, South Korea
| | - F. S. Porter
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771 USA
| | - T. Stöhlker
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
- GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany
- Helmholtz-Institut Jena, Fröbelstieg 3, 07743 Jena, Germany
| | - T. Pfeifer
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
| | - G. V. Brown
- Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550 USA
| | - S. Bernitt
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
- GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany
- Helmholtz-Institut Jena, Fröbelstieg 3, 07743 Jena, Germany
| | - P. Hansmann
- Institute of Theoretical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstr. 7/B2, 91058 Erlangen, Germany
| | - J. Wilms
- Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstr. 7, 96049 Bamberg, Germany
| | | | - M. A. Leutenegger
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771 USA
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11
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Huang Q, Tan Z, Li Y, Wang W, Lang M, Li C, Guo Z. Tfcancer: a manually curated database of transcription factors associated with human cancers. Bioinformatics 2021; 37:4288-4290. [PMID: 34113986 DOI: 10.1093/bioinformatics/btab405] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/19/2021] [Accepted: 05/25/2021] [Indexed: 11/13/2022] Open
Abstract
SUMMARY Transcription factors (TFs) are critical regulation elements and its dysregulation can lead to a variety of cancers. However, currently, there are no such online resources for large-scale collection, storage and analysis of TF-cancer associations in those cancers. To fill this gap, we present a database called TFcancer (http://lcbb.swjtu.edu.cn/tfcancer/), which contains 3136 experimentally supported associations between 364 TFs and 33 TCGA cancers by manually curating more than 1800 literature. TFcancer mainly concentrates on four aspects: TF expression, molecular alteration, regulatory relationships between TFs and target genes, and biological processes and signaling pathways of TFs in cancers. TFcancer not only provides a user-friendly interface for browsing and searching but also allows flexible data downloading and user data submitting. It is believed that TFcancer is a helpful and valuable resource for researchers who seek to understand the functions and molecular mechanisms of TFs involved in human cancers. AVAILABILITY AND IMPLEMENTATION The TFcancer are freely available at http://lcbb.swjtu.edu.cn/tfcancer/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Qingqing Huang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Zhengtang Tan
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Yanjing Li
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Wenzhu Wang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Mei Lang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Changying Li
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Zhiyun Guo
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
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Zattra O, Fraga A, Lu N, Gee M, Liu R, Lev M, Brink J, Saini S, Lang M, Succi M. 1607P Trends in cancer imaging by indication, care setting, and hospital type during the COVID-19 pandemic and recovery. Ann Oncol 2021. [PMCID: PMC8454321 DOI: 10.1016/j.annonc.2021.08.1600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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13
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Som A, Yeung T, Lang M, Uppot R, Daye D, Kalva S, Little B, Succi M. Abstract No. 158 Changes in interventional radiology case volumes during the COVID-19 pandemic. J Vasc Interv Radiol 2021. [PMCID: PMC8079604 DOI: 10.1016/j.jvir.2021.03.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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14
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Lang M, Lang, Coronado W, Kapoor B. Abstract No. 236 Comparison of 30-day readmission rate and mortality risk using a controlled expansion endoprosthesis or a conventional covered endoprosthesis: a single-center, retrospective study. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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15
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Kang R, Tan Z, Lang M, Jin L, Zhang Y, Zhang Y, Guo T, Guo Z. EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse. Precision Clinical Medicine 2021; 4:129-135. [PMID: 35694152 PMCID: PMC8982537 DOI: 10.1093/pcmedi/pbab006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/09/2021] [Accepted: 04/11/2021] [Indexed: 12/17/2022] Open
Abstract
Feed-forward loops (FFLs) are thought to be one of the most common and important classes of transcriptional network motifs involved in various diseases. Enhancers are cis-regulatory elements that positively regulate protein-coding genes or microRNAs (miRNAs) by recruiting DNA-binding transcription factors (TFs). However, a comprehensive resource to identify, store, and analyze the FFLs of typical enhancer and super-enhancer FFLs is not currently available. Here, we present EnhFFL, an online database to provide a data resource for users to browse and search typical enhancer and super-enhancer FFLs. The current database covers 46 280/7000 TF-enhancer-miRNA FFLs, 9997/236 enhancer-miRNA-gene FFLs, 3 561 164/3 193 182 TF-enhancer-gene FFLs, and 1259/235 TF-enhancer feed-back loops (FBLs) across 91 tissues/cell lines of human and mouse, respectively. Users can browse loops by selecting species, types of tissue/cell line, and types of FFLs. EnhFFL supports searching elements including name/ID, genomic location, and the conservation of miRNA target genes. We also developed tools for users to screen customized FFLs using the threshold of q value as well as the confidence score of miRNA target genes. Disease and functional enrichment analysis showed that master miRNAs that are widely engaged in FFLs including TF-enhancer-miRNAs and enhancer-miRNA-genes are significantly involved in tumorigenesis. Database URL:http://lcbb.swjtu.edu.cn/EnhFFL/.
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Affiliation(s)
- Ran Kang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Zhengtang Tan
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Mei Lang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Linqi Jin
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Yin Zhang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Yiming Zhang
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Tailin Guo
- College of Medicine, Southwest Jiaotong University, Chengdu 610031, China
| | - Zhiyun Guo
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China
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16
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Abstract
AbstractNineteen red deer areas in a densely populated region with a huge network of fenced motorways and the division into administrative management units (AMUs) with restricted ecological connectivity were investigated. In the season 2018/2019, a total of 1291 red deer samples (on average 68 per area) were collected and genotyped using 16 microsatellite markers. The results show a clear genetic differentiation between most of the AMUs. Fourteen AMUs may be combined into four regions with a considerable internal genetic exchange. Five areas were largely isolated or showed only a limited gene flow with neighbouring areas. Ten of the 19 AMUs had an effective population size below 100. Effective population sizes greater than 500–1000, required to maintain the evolutionary potential and a long-term adaptation potential, were not achieved by any of the studied AMUs, even when AMUs with an appreciable genetic exchange were aggregated. Substantial genetic differentiation between areas can be associated with the presence of landscape barriers hindering gene flow, but also with the maintenance of ‘red deer–free’ areas. Efforts to sustainably preserve the genetic diversity of the entire region should therefore focus on measures ensuring genetic connectivity. Opportunities for this goal arise from the establishment of game bridges over motorways and from the protection of young male stags migrating through the statutory ‘red deer–free’ areas.
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17
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Lang M, Li MD, Jiang KZ, Yoon BC, Mendoza DP, Flores EJ, Rincon SP, Mehan WA, Conklin J, Huang SY, Lang AL, Giao DM, Leslie-Mazwi TM, Kalpathy-Cramer J, Little BP, Buch K. Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. AJNR Am J Neuroradiol 2021; 42:831-837. [PMID: 33541897 DOI: 10.3174/ajnr.a7032] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 12/11/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Severe respiratory distress in patients with COVID-19 has been associated with higher rate of neurologic manifestations. Our aim was to investigate whether the severity of chest imaging findings among patients with coronavirus disease 2019 (COVID-19) correlates with the risk of acute neuroimaging findings. MATERIALS AND METHODS This retrospective study included all patients with COVID-19 who received care at our hospital between March 3, 2020, and May 6, 2020, and underwent chest imaging within 10 days of neuroimaging. Chest radiographs were assessed using a previously validated automated neural network algorithm for COVID-19 (Pulmonary X-ray Severity score). Chest CTs were graded using a Chest CT Severity scoring system based on involvement of each lobe. Associations between chest imaging severity scores and acute neuroimaging findings were assessed using multivariable logistic regression. RESULTS Twenty-four of 93 patients (26%) included in the study had positive acute neuroimaging findings, including intracranial hemorrhage (n = 7), infarction (n = 7), leukoencephalopathy (n = 6), or a combination of findings (n = 4). The average length of hospitalization, prevalence of intensive care unit admission, and proportion of patients requiring intubation were significantly greater in patients with acute neuroimaging findings than in patients without them (P < .05 for all). Compared with patients without acute neuroimaging findings, patients with acute neuroimaging findings had significantly higher mean Pulmonary X-ray Severity scores (5.0 [SD, 2.9] versus 9.2 [SD, 3.4], P < .001) and mean Chest CT Severity scores (9.0 [SD, 5.1] versus 12.1 [SD, 5.0], P = .041). The pulmonary x-ray severity score was a significant predictor of acute neuroimaging findings in patients with COVID-19. CONCLUSIONS Patients with COVID-19 and acute neuroimaging findings had more severe findings on chest imaging on both radiographs and CT compared with patients with COVID-19 without acute neuroimaging findings. The severity of findings on chest radiography was a strong predictor of acute neuroimaging findings in patients with COVID-19.
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Affiliation(s)
- M Lang
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - M D Li
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - K Z Jiang
- School of Medicine (K.Z.J.), Baylor College of Medicine, Houston, Texas
| | - B C Yoon
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - D P Mendoza
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - E J Flores
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - S P Rincon
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - W A Mehan
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - J Conklin
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging (J.C., S.Y.H., J.K.-C.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - S Y Huang
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging (J.C., S.Y.H., J.K.-C.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - A L Lang
- Department of Anesthesia, Critical Care, and Pain Medicine (A.L.L.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - D M Giao
- Harvard Medical School (D.M.G.), Boston, Massachusetts
| | | | - J Kalpathy-Cramer
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging (J.C., S.Y.H., J.K.-C.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - B P Little
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - K Buch
- Department of Radiology (M.L., M.D.L., B.C.Y., D.P.M., E.J.F., S.P.R., W.A.M., J.C., S.Y.H., J.K.-C., B.P.L., K.B.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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18
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Gottschall M, Afzal F, Anisovich AV, Bayadilov D, Beck R, Bichow M, Brinkmann KT, Crede V, Dieterle M, Dietz F, Dutz H, Eberhardt H, Elsner D, Ewald R, Fornet-Ponse K, Friedrich S, Frommberger F, Gridnev A, Grüner M, Gutz E, Hammann C, Hannappel J, Hartmann J, Hillert W, Hoffmeister P, Honisch C, Jude T, Kammer S, Kalinowsky H, Keshelashvili I, Klassen P, Klein F, Klempt E, Koop K, Krusche B, Kube M, Lang M, Lopatin I, Mahlberg P, Makonyi K, Metag V, Meyer W, Müller J, Müllers J, Nanova M, Nikonov V, Novotny R, Piontek D, Reicherz G, Rostomyan T, Sarantsev A, Schmidt C, Schmieden H, Seifen T, Sokhoyan V, Spieker K, Thiel A, Thoma U, Urban M, Pee HV, Walther D, Wendel C, Werthmüller D, Wiedner U, Wilson A, Winnebeck A, Witthauer L, Wunderlich Y. Measurement of the helicity asymmetry E for the reaction γ p → π 0 p : The CBELSA/TAPS Collaboration. Eur Phys J A Hadron Nucl 2021; 57:40. [PMID: 33551676 PMCID: PMC7840663 DOI: 10.1140/epja/s10050-020-00334-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 11/28/2020] [Indexed: 06/12/2023]
Abstract
A measurement of the double-polarization observable E for the reaction γ p → π 0 p is reported. The data were taken with the CBELSA/TAPS experiment at the ELSA facility in Bonn using the Bonn frozen-spin butanol (C4 H9 OH) target, which provided longitudinally-polarized protons. Circularly-polarized photons were produced via bremsstrahlung of longitudinally-polarized electrons. The data cover the photon energy range fromE γ = 600 to 2310 MeV and nearly the complete angular range. The results are compared to and have been included in recent partial wave analyses.
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Affiliation(s)
- M. Gottschall
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - F. Afzal
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - A. V. Anisovich
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - D. Bayadilov
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R. Beck
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - M. Bichow
- Institut für Experimentalphysik I, Ruhr–Universität Bochum, Bochum, Germany
| | | | - V. Crede
- Department of Physics, Florida State University, Tallahassee, FL 32306 USA
| | - M. Dieterle
- Physikalisches Institut, Universität Basel, Basel, Switzerland
| | - F. Dietz
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - H. Dutz
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - H. Eberhardt
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - D. Elsner
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - R. Ewald
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | | | - St. Friedrich
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - F. Frommberger
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - A. Gridnev
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - M. Grüner
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - E. Gutz
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - Ch. Hammann
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - J. Hannappel
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - J. Hartmann
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - W. Hillert
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - Ph. Hoffmeister
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - Ch. Honisch
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - T. Jude
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - S. Kammer
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - H. Kalinowsky
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | | | - P. Klassen
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - F. Klein
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - E. Klempt
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - K. Koop
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - B. Krusche
- Physikalisches Institut, Universität Basel, Basel, Switzerland
| | - M. Kube
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - M. Lang
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - I. Lopatin
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - P. Mahlberg
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - K. Makonyi
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - V. Metag
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - W. Meyer
- Institut für Experimentalphysik I, Ruhr–Universität Bochum, Bochum, Germany
| | - J. Müller
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - J. Müllers
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - M. Nanova
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - V. Nikonov
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R. Novotny
- Physikalisches Institut, Universität Gießen, Gießen, Germany
| | - D. Piontek
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - G. Reicherz
- Institut für Experimentalphysik I, Ruhr–Universität Bochum, Bochum, Germany
| | - T. Rostomyan
- Physikalisches Institut, Universität Basel, Basel, Switzerland
| | - A. Sarantsev
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - Ch. Schmidt
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - H. Schmieden
- Physikalisches Institut, Universität Bonn, Bonn, Germany
| | - T. Seifen
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - V. Sokhoyan
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - K. Spieker
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - A. Thiel
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - U. Thoma
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - M. Urban
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - H. van Pee
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - D. Walther
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - Ch. Wendel
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - D. Werthmüller
- Physikalisches Institut, Universität Basel, Basel, Switzerland
| | - U. Wiedner
- Institut für Experimentalphysik I, Ruhr–Universität Bochum, Bochum, Germany
| | - A. Wilson
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
- Department of Physics, Florida State University, Tallahassee, FL 32306 USA
| | - A. Winnebeck
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
| | - L. Witthauer
- Physikalisches Institut, Universität Basel, Basel, Switzerland
| | - Y. Wunderlich
- Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Bonn, Germany
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19
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Lang M, Vitanova K, Voss B, Krane M, Lange R, Günther T. Beyond the 10-Year Horizon: Long-Term Outcome of Mitral Valve Repair Using Chordal Replacement. Thorac Cardiovasc Surg 2021. [DOI: 10.1055/s-0041-1725682] [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: 10/21/2022]
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20
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Li MD, Lang M, Deng F, Chang K, Buch K, Rincon S, Mehan WA, Leslie-Mazwi TM, Kalpathy-Cramer J. Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports. AJNR Am J Neuroradiol 2020; 42:429-434. [PMID: 33334851 DOI: 10.3174/ajnr.a6961] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 10/26/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natural language processing of radiology reports. MATERIALS AND METHODS We retrospectively analyzed 32,555 radiology reports from brain CTs and MRIs from a comprehensive stroke center, performed from March 1 to April 30 each year from 2017 to 2020, involving 20,414 unique patients. To detect acute or subacute ischemic stroke in free-text reports, we trained a random forest natural language processing classifier using 1987 randomly sampled radiology reports with manual annotation. Natural language processing classifier generalizability was evaluated using 1974 imaging reports from an external dataset. RESULTS The natural language processing classifier achieved a 5-fold cross-validation classification accuracy of 0.97 and an F1 score of 0.74, with a slight underestimation (-5%) of actual numbers of acute or subacute ischemic strokes in cross-validation. Importantly, cross-validation performance stratified by year was similar. Applying the classifier to the complete study cohort, we found an estimated 24% decrease in patients with acute or subacute ischemic strokes reported on CT or MR imaging from March to April 2020 compared with the average from those months in 2017-2019. Among patients with stroke-related order indications, the estimated proportion who underwent neuroimaging with acute or subacute ischemic stroke detection significantly increased from 16% during 2017-2019 to 21% in 2020 (P = .01). The natural language processing classifier performed worse on external data. CONCLUSIONS Acute or subacute ischemic stroke cases detected by neuroimaging decreased during the COVID-19 pandemic, though a higher proportion of studies ordered for stroke were positive for acute or subacute ischemic strokes. Natural language processing approaches can help automatically track acute or subacute ischemic stroke numbers for epidemiologic studies, though local classifier training is important due to radiologist reporting style differences.
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Affiliation(s)
- M D Li
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - M Lang
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - F Deng
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - K Chang
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - K Buch
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - S Rincon
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - W A Mehan
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
| | - T M Leslie-Mazwi
- Neurology and Neurosurgery (T.M.L.-M.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - J Kalpathy-Cramer
- From the Departments of Radiology (M.D.L., M.L., F.D., K.C., K.B., S.R., W.A.M., J.K.-C.)
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21
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Leutenegger MA, Kühn S, Micke P, Steinbrügge R, Stierhof J, Shah C, Hell N, Bissinger M, Hirsch M, Ballhausen R, Lang M, Gräfe C, Wipf S, Cumbee R, Betancourt-Martinez GL, Park S, Yerokhin VA, Surzhykov A, Stolte WC, Niskanen J, Chung M, Porter FS, Stöhlker T, Pfeifer T, Wilms J, Brown GV, Crespo López-Urrutia JR, Bernitt S. High-Precision Determination of Oxygen K_{α} Transition Energy Excludes Incongruent Motion of Interstellar Oxygen. Phys Rev Lett 2020; 125:243001. [PMID: 33412031 DOI: 10.1103/physrevlett.125.243001] [Citation(s) in RCA: 2] [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] [Received: 03/30/2020] [Revised: 10/19/2020] [Accepted: 10/30/2020] [Indexed: 06/12/2023]
Abstract
We demonstrate a widely applicable technique to absolutely calibrate the energy scale of x-ray spectra with experimentally well-known and accurately calculable transitions of highly charged ions, allowing us to measure the K-shell Rydberg spectrum of molecular O_{2} with 8 meV uncertainty. We reveal a systematic ∼450 meV shift from previous literature values, and settle an extraordinary discrepancy between astrophysical and laboratory measurements of neutral atomic oxygen, the latter being calibrated against the aforementioned O_{2} literature values. Because of the widespread use of such, now deprecated, references, our method impacts on many branches of x-ray absorption spectroscopy. Moreover, it potentially reduces absolute uncertainties there to below the meV level.
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Affiliation(s)
- M A Leutenegger
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA
| | - S Kühn
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
| | - P Micke
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
| | - R Steinbrügge
- Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany
| | - J Stierhof
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - C Shah
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
| | - N Hell
- Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, California 94550, USA
| | - M Bissinger
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erwin-Rommel-Strasse 1, 91058 Erlangen, Germany
| | - M Hirsch
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - R Ballhausen
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - M Lang
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - C Gräfe
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - S Wipf
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
| | - R Cumbee
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA
- Department of Astronomy, University of Maryland, College Park, Maryland 20742, USA
| | - G L Betancourt-Martinez
- Institut de Recherche en Astrophysique et Planétologie, 9, avenue du Colonel Roche BP 44346, 31028 Toulouse Cedex 4, France
| | - S Park
- Ulsan National Institute of Science and Technology, 50 UNIST-gil, 44919 Ulsan, Republic of Korea
| | - V A Yerokhin
- Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - A Surzhykov
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig, Germany
- Institut für Mathematische Physik, Technische Universität Braunschweig, D-38106 Braunschweig, Germany
| | - W C Stolte
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Niskanen
- Institute for Methods and Instrumentation in Synchrotron Radiation Research G-ISRR, Helmholtz-Zentrum Berlin für Materialien und Energie, Albert-Einstein-Strasse 15, 12489 Berlin, Germany
- Department of Physics and Astronomy, University of Turku, FI-20014 Turun Yliopisto, Finland
| | - M Chung
- Ulsan National Institute of Science and Technology, 50 UNIST-gil, 44919 Ulsan, Republic of Korea
| | - F S Porter
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA
| | - T Stöhlker
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
- GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany
- Helmholtz-Institut Jena, Fröbelstieg 3, 07743 Jena, Germany
| | - T Pfeifer
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
| | - J Wilms
- Remeis-Sternwarte and Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sternwartstrasse 7, 96049 Bamberg, Germany
| | - G V Brown
- Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, California 94550, USA
| | | | - S Bernitt
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany
- Institut für Optik und Quantenelektronik, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany
- GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany
- Helmholtz-Institut Jena, Fröbelstieg 3, 07743 Jena, Germany
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Li MD, Lang M, Yoon BC, Applewhite BP, Buch K, Rincon SP, Leslie-Mazwi TM, Mehan WA. Chest CT Scanning in Suspected Stroke: Not Always Worth the Extra Mile. AJNR Am J Neuroradiol 2020; 41:E86-E87. [PMID: 32816772 DOI: 10.3174/ajnr.a6763] [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: 11/07/2022]
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23
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Afzal F, Wunderlich Y, Anisovich AV, Bayadilov D, Beck R, Becker M, Blanke E, Brinkmann KT, Ciupka S, Crede V, Dieterle M, Dutz H, Elsner D, Friedrich S, Frommberger F, Gridnev A, Gottschall M, Grüner M, Gutz E, Hammann C, Hannappel J, Hartmann J, Hillert W, Hoff J, Hoffmeister P, Honisch C, Jude T, Kalinowsky H, Kalischewski F, Keshelashvili I, Klassen P, Klein F, Klempt E, Koop K, Kroenert P, Krusche B, Lang M, Lopatin I, Mahlberg P, Meißner UG, Messi F, Metag V, Meyer W, Mitlasóczki B, Müller J, Müllers J, Nanova M, Nikonov K, Nikonov V, Novinskiy V, Novotny R, Piontek D, Reicherz G, Richter L, Rönchen D, Rostomyan T, Salisbury B, Sarantsev A, Schaab D, Schmidt C, Schmieden H, Schultes J, Seifen T, Sokhoyan V, Sowa C, Spieker K, Stausberg N, Thiel A, Thoma U, Triffterer T, Urban M, Urff G, van Pee H, Walther D, Wendel C, Wiedner U, Wilson A, Winnebeck A, Witthauer L. Observation of the pη^{'} Cusp in the New Precise Beam Asymmetry Σ Data for γp→pη. Phys Rev Lett 2020; 125:152002. [PMID: 33095637 DOI: 10.1103/physrevlett.125.152002] [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: 06/01/2020] [Revised: 07/24/2020] [Accepted: 08/28/2020] [Indexed: 06/11/2023]
Abstract
Data on the beam asymmetry Σ in the photoproduction of η mesons off protons are reported for tagged photon energies from 1130 to 1790 MeV (mass range from W=1748 MeV to W=2045 MeV). The data cover the full solid angle that allows for a precise moment analysis. For the first time, a strong cusp effect in a polarization observable has been observed that is an effect of a branch-point singularity at the pη^{'} threshold [E_{γ}=1447 MeV (W=1896 MeV)]. The latest BnGa partial wave analysis includes the new beam asymmetry data and yields a strong indication for the N(1895)1/2^{-} nucleon resonance, demonstrating the importance of including all singularities for a correct determination of partial waves and resonance parameters.
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Affiliation(s)
- F Afzal
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - Y Wunderlich
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - A V Anisovich
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - D Bayadilov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R Beck
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - M Becker
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - E Blanke
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - K-Th Brinkmann
- II. Physikalisches Institut, Universität Giessen, Germany
| | - S Ciupka
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - V Crede
- Department of Physics, Florida State University, Tallahassee, Florida 32306, USA
| | - M Dieterle
- Physikalisches Institut, Universität Basel, Switzerland
| | - H Dutz
- Physikalisches Institut, Universität Bonn, Germany
| | - D Elsner
- Physikalisches Institut, Universität Bonn, Germany
| | - S Friedrich
- II. Physikalisches Institut, Universität Giessen, Germany
| | | | - A Gridnev
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - M Gottschall
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - M Grüner
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - E Gutz
- II. Physikalisches Institut, Universität Giessen, Germany
| | - C Hammann
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - J Hannappel
- Physikalisches Institut, Universität Bonn, Germany
| | - J Hartmann
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - W Hillert
- Physikalisches Institut, Universität Bonn, Germany
| | - J Hoff
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - P Hoffmeister
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - C Honisch
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - T Jude
- Physikalisches Institut, Universität Bonn, Germany
| | - H Kalinowsky
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - F Kalischewski
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | | | - P Klassen
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - F Klein
- Physikalisches Institut, Universität Bonn, Germany
| | - E Klempt
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - K Koop
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - P Kroenert
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - B Krusche
- Physikalisches Institut, Universität Basel, Switzerland
| | - M Lang
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - I Lopatin
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - P Mahlberg
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - U-G Meißner
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- Institute for Advanced Simulation, Institut für Kernphysik and Jülich Center for Hadron Physics, Forschungszentrum Jülich, D-52425 Jülich, Germany
| | - F Messi
- Physikalisches Institut, Universität Bonn, Germany
| | - V Metag
- II. Physikalisches Institut, Universität Giessen, Germany
| | - W Meyer
- Institut für Experimentalphysik I, Ruhr Universität Bochum, Germany
| | - B Mitlasóczki
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - J Müller
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - J Müllers
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - M Nanova
- II. Physikalisches Institut, Universität Giessen, Germany
| | - K Nikonov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - V Nikonov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - V Novinskiy
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - R Novotny
- II. Physikalisches Institut, Universität Giessen, Germany
| | - D Piontek
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - G Reicherz
- Institut für Experimentalphysik I, Ruhr Universität Bochum, Germany
| | - L Richter
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - D Rönchen
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - T Rostomyan
- Physikalisches Institut, Universität Basel, Switzerland
| | - B Salisbury
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - A Sarantsev
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- National Research Centre "Kurchatov Institute", Petersburg Nuclear Physics Institute, Gatchina, Russia
| | - D Schaab
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - C Schmidt
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - H Schmieden
- Physikalisches Institut, Universität Bonn, Germany
| | - J Schultes
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - T Seifen
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - V Sokhoyan
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - C Sowa
- Institut für Experimentalphysik I, Ruhr Universität Bochum, Germany
| | - K Spieker
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - N Stausberg
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - A Thiel
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - U Thoma
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - T Triffterer
- Institut für Experimentalphysik I, Ruhr Universität Bochum, Germany
| | - M Urban
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - G Urff
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - H van Pee
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - D Walther
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - Ch Wendel
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - U Wiedner
- Institut für Experimentalphysik I, Ruhr Universität Bochum, Germany
| | - A Wilson
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
- Department of Physics, Florida State University, Tallahassee, Florida 32306, USA
| | - A Winnebeck
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, Germany
| | - L Witthauer
- Physikalisches Institut, Universität Basel, Switzerland
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Yoon BC, Buch K, Lang M, Applewhite BP, Li MD, Mehan WA, Leslie-Mazwi TM, Rincon SP. Clinical and Neuroimaging Correlation in Patients with COVID-19. AJNR Am J Neuroradiol 2020; 41:1791-1796. [PMID: 32912875 PMCID: PMC7661080 DOI: 10.3174/ajnr.a6717] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 06/16/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Coronavirus disease 2019 (COVID-19) is increasingly being recognized for its multiorgan involvement, including various neurological manifestations. We examined the frequency of acute intracranial abnormalities seen on CT and/or MR imaging in patients with COVID-19 and investigated possible associations between these findings and clinical parameters, including length of hospital stay, requirement for intubation, and development of acute kidney injury. MATERIALS AND METHODS This was a retrospective study performed at a large academic hospital in the United States. A total of 641 patients presented to our institution between March 3, 2020, and May 6, 2020, for treatment of coronavirus disease 2019, of whom, 150 underwent CT and/or MR imaging of the brain. CT and/or MR imaging examinations were evaluated for the presence of hemorrhage, infarction, and leukoencephalopathy. The frequency of these findings was correlated with clinical variables, including body mass index, length of hospital stay, requirement for intubation, and development of acute kidney injury as documented in the electronic medical record. RESULTS Of the 150 patients, 26 (17%) had abnormal CT and/or MR imaging findings, with hemorrhage in 11 of the patients (42%), infarction in 13 of the patients (50%), and leukoencephalopathy in 7 of the patients (27%). Significant associations were seen between abnormal CT/MR imaging findings and intensive care unit admission (P = .039), intubation (P = .004), and acute kidney injury (P = .030). CONCLUSIONS A spectrum of acute neuroimaging abnormalities was seen in our cohort of patients with coronavirus disease 2019, including hemorrhage, infarction, and leukoencephalopathy. Significant associations between abnormal neuroimaging studies and markers of disease severity (intensive care unit admission, intubation, and acute kidney injury) suggest that patients with severe forms of coronavirus disease 2019 may have higher rates of neuroimaging abnormalities.
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Affiliation(s)
- B C Yoon
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - K Buch
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - M Lang
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - B P Applewhite
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - M D Li
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - W A Mehan
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
| | - T M Leslie-Mazwi
- Neurosurgery and Neurology (T.M.L.-M.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - S P Rincon
- From the Departments of Radiology (B.C.Y., K.B., M.L., B.P.A., M.D.L., W.A.M., Jr., S.P.R.)
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Lang M, Sourbier C, Schmidt L, Wei D, Gibbs B, Ricketts C, Vocke C, Wilson K, Thomas C, Linehan W. High-throughput small molecule screens reveal therapeutic opportunities against TFE3-fusion renal cell carcinoma. Eur J Cancer 2020. [DOI: 10.1016/s0959-8049(20)31109-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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26
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Mehan WA, Yoon BC, Lang M, Li MD, Rincon S, Buch K. Paraspinal Myositis in Patients with COVID-19 Infection. AJNR Am J Neuroradiol 2020; 41:1949-1952. [PMID: 32763902 DOI: 10.3174/ajnr.a6711] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 06/12/2020] [Indexed: 01/07/2023]
Abstract
Myalgia is a previously reported symptom in patients with COVID-19 infection; however, the presence of paraspinal myositis has not been previously reported. We report MR imaging findings of the spine obtained in a cohort of 9 patients with COVID-19 infection who presented to our hospital between March 3, 2020 and May 6, 2020. We found that 7 of 9 COVID-19 patients (78%) who underwent MR imaging of the spine had MR imaging evidence of paraspinal myositis, characterized by intramuscular edema and/or enhancement. Five of these 7 patients had a prolonged hospital course (greater than 25 days). Our knowledge of the imaging manifestations of COVID-19 infection is expanding. It is important for clinicians>a to be aware of the relatively high frequency of paraspinal myositis in this small cohort of patients with COVID-19 infection.
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Affiliation(s)
- W A Mehan
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - B C Yoon
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - M Lang
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - M D Li
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - S Rincon
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - K Buch
- From the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
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Thompson RL, Broquet G, Gerbig C, Koch T, Lang M, Monteil G, Munassar S, Nickless A, Scholze M, Ramonet M, Karstens U, van Schaik E, Wu Z, Rödenbeck C. Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190512. [PMID: 32892731 PMCID: PMC7485096 DOI: 10.1098/rstb.2019.0512] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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] [Indexed: 11/14/2022] Open
Abstract
The 2018 drought was one of the worst European droughts of the twenty-first century in terms of its severity, extent and duration. The effects of the drought could be seen in a reduction in harvest yields in parts of Europe, as well as an unprecedented browning of vegetation in summer. Here, we quantify the effect of the drought on net ecosystem exchange (NEE) using five independent regional atmospheric inversion frameworks. Using a network of atmospheric CO2 mole fraction observations, we estimate NEE with at least monthly and 0.5° × 0.5° resolution for 2009–2018. We find that the annual NEE in 2018 was likely more positive (less CO2 uptake) in the temperate region of Europe by 0.09 ± 0.06 Pg C yr−1 (mean ± s.d.) compared to the mean of the last 10 years of −0.08 ± 0.17 Pg C yr−1, making the region close to carbon neutral in 2018. Similarly, we find a positive annual NEE anomaly for the northern region of Europe of 0.02 ± 0.02 Pg C yr−1 compared the 10-year mean of −0.04 ± 0.05 Pg C yr−1. In both regions, this was largely owing to a reduction in the summer CO2 uptake. The positive NEE anomalies coincided spatially and temporally with negative anomalies in soil water. These anomalies were exceptional for the 10-year period of our study. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.
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Affiliation(s)
- R L Thompson
- ATMOS, NILU - Norsk Institutt for Luftforskning, Kjeller, Norway
| | - G Broquet
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - C Gerbig
- Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - T Koch
- Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany.,Meteorologisches Observatorium Hohenpeissenberg, Deutscher Wetterdienst, Germany
| | - M Lang
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - G Monteil
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - S Munassar
- Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - A Nickless
- School of Chemistry, University of Bristol, Bristol, UK
| | - M Scholze
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - M Ramonet
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - U Karstens
- ICOS Carbon Portal, Lund University, Sweden
| | - E van Schaik
- Meteorology and Air Quality, Wageningen University and Research, Wageningen, The Netherlands
| | - Z Wu
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - C Rödenbeck
- Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
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Lang M, Buch K, Li MD, Mehan WA, Lang AL, Leslie-Mazwi TM, Rincon SP. Leukoencephalopathy Associated with Severe COVID-19 Infection: Sequela of Hypoxemia? AJNR Am J Neuroradiol 2020; 41:1641-1645. [PMID: 32586959 DOI: 10.3174/ajnr.a6671] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 05/30/2020] [Indexed: 12/18/2022]
Abstract
There is increasing evidence to suggest that complications of coronavirus disease 2019 (COVID-19) infection are not only limited to the pulmonary system but can also involve the central nervous system. Here, we report 6 critically ill patients with COVID-19 infection and neuroimaging findings of leukoencephalopathy. While these findings are nonspecific, we postulate that they may be a delayed response to the profound hypoxemia the patients experienced due to the infection. No abnormal enhancement, hemorrhage, or perfusion abnormalities were noted on MR imaging. In addition, Severe Acute Respiratory Syndrome coronavirus 2 was not detected in the CSF collected from the 2 patients who underwent lumbar puncture. Recognition of COVID-19-related leukoencephalopathy is important for appropriate clinical management, disposition, and prognosis.
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Affiliation(s)
- M Lang
- From the Departments of Radiology (M.L., K.B., M.D.L., W.A.M., Jr, S.P.R.)
| | - K Buch
- From the Departments of Radiology (M.L., K.B., M.D.L., W.A.M., Jr, S.P.R.)
| | - M D Li
- From the Departments of Radiology (M.L., K.B., M.D.L., W.A.M., Jr, S.P.R.)
| | - W A Mehan
- From the Departments of Radiology (M.L., K.B., M.D.L., W.A.M., Jr, S.P.R.)
| | - A L Lang
- Anesthesia, Critical Care, and Pain Medicine (A.L.L.)
| | - T M Leslie-Mazwi
- Neurosurgery and Neurology (T.M.L.-M.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - S P Rincon
- From the Departments of Radiology (M.L., K.B., M.D.L., W.A.M., Jr, S.P.R.)
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Lang M, Li MD, Buch K, Yoon BC, Applewhite BP, Leslie-Mazwi TM, Rincon S, Mehan WA. Risk of Acute Cerebrovascular Events in Patients with COVID-19 Infection. AJNR Am J Neuroradiol 2020; 41:E92-E93. [PMID: 32855192 DOI: 10.3174/ajnr.a6796] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
| | | | | | | | | | | | - S Rincon
- Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBoston, Massachusett
| | - W A Mehan
- Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBoston, Massachusett
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Lang M, Krátký J, Xygalatas D. The role of ritual behaviour in anxiety reduction: an investigation of Marathi religious practices in Mauritius. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190431. [PMID: 32594878 DOI: 10.1098/rstb.2019.0431] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
While the occurrence of rituals in anxiogenic contexts has been long noted and supported by ethnographic, quantitative and experimental studies, the purported effects of ritual behaviour on anxiety reduction have rarely been examined. In the present study, we investigate the anxiolytic effects of religious practices among the Marathi Hindu community in Mauritius and test whether these effects are facilitated by the degree of ritualization present in these practices. Seventy-five participants first experienced anxiety induction through the public speaking paradigm and were subsequently asked to either perform their habitual ritual in a local temple (ritual condition) or sit and relax (control condition). The results revealed that participants in the ritual condition reported lower perceived anxiety after the ritual treatment and displayed lower physiological anxiety, which was assessed as heart-rate variability. The degree of ritualization in the ritual condition showed suggestive albeit variable effects, and thus further investigation is needed. We conclude the paper with a discussion of various mechanisms that may facilitate the observed anxiolytic effects of ritual behaviour and should be investigated in the future. This article is part of the theme issue 'Ritual renaissance: new insights into the most human of behaviours'.
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Affiliation(s)
- M Lang
- LEVYNA Laboratory for the Experimental Research of Religion, Masaryk University, Brno, Czech Republic
| | - J Krátký
- LEVYNA Laboratory for the Experimental Research of Religion, Masaryk University, Brno, Czech Republic
| | - D Xygalatas
- Department of Anthropology, University of Connecticut, Storrs, CT, USA
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31
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Lang M, Leménager T, Streit F, Fauth-Bühler M, Frank J, Juraeva D, Witt S, Degenhardt F, Hofmann A, Heilmann-Heimbach S, Kiefer F, Brors B, Grabe HJ, John U, Bischof A, Bischof G, Völker U, Homuth G, Beutel M, Lind P, Medland S, Slutske W, Martin N, Völzke H, Nöthen M, Meyer C, Rumpf HJ, Wurst F, Rietschel M, Mann K. Genome-wide association study of pathological gambling. Eur Psychiatry 2020; 36:38-46. [DOI: 10.1016/j.eurpsy.2016.04.001] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 03/09/2016] [Accepted: 04/01/2016] [Indexed: 12/18/2022] Open
Abstract
AbstractBackgroundPathological gambling is a behavioural addiction with negative economic, social, and psychological consequences. Identification of contributing genes and pathways may improve understanding of aetiology and facilitate therapy and prevention. Here, we report the first genome-wide association study of pathological gambling. Our aims were to identify pathways involved in pathological gambling, and examine whether there is a genetic overlap between pathological gambling and alcohol dependence.MethodsFour hundred and forty-five individuals with a diagnosis of pathological gambling according to the Diagnostic and Statistical Manual of Mental Disorders were recruited in Germany, and 986 controls were drawn from a German general population sample. A genome-wide association study of pathological gambling comprising single marker, gene-based, and pathway analyses, was performed. Polygenic risk scores were generated using data from a German genome-wide association study of alcohol dependence.ResultsNo genome-wide significant association with pathological gambling was found for single markers or genes. Pathways for Huntington's disease (P-value = 6.63 × 10−3); 5′-adenosine monophosphate-activated protein kinase signalling (P-value = 9.57 × 10−3); and apoptosis (P-value = 1.75 × 10−2) were significant. Polygenic risk score analysis of the alcohol dependence dataset yielded a one-sided nominal significant P-value in subjects with pathological gambling, irrespective of comorbid alcohol dependence status.ConclusionsThe present results accord with previous quantitative formal genetic studies which showed genetic overlap between non-substance- and substance-related addictions. Furthermore, pathway analysis suggests shared pathology between Huntington's disease and pathological gambling. This finding is consistent with previous imaging studies.
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Affiliation(s)
- M. Lang
- Leibniz Institut für Polymerforschung Dresden, Hohe Straße 6, 01069 Dresden, Germany
| | - T. Müller
- Leibniz Institut für Polymerforschung Dresden, Hohe Straße 6, 01069 Dresden, Germany
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33
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Peghaire C, Dufton NP, Lang M, Salles-Crawley II, Ahnström J, Kalna V, Raimondi C, Pericleous C, Inuabasi L, Kiseleva R, Muzykantov VR, Mason JC, Birdsey GM, Randi AM. The transcription factor ERG regulates a low shear stress-induced anti-thrombotic pathway in the microvasculature. Nat Commun 2019; 10:5014. [PMID: 31676784 PMCID: PMC6825134 DOI: 10.1038/s41467-019-12897-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 08/17/2018] [Accepted: 09/30/2019] [Indexed: 12/30/2022] Open
Abstract
Endothelial cells actively maintain an anti-thrombotic environment; loss of this protective function may lead to thrombosis and systemic coagulopathy. The transcription factor ERG is essential to maintain endothelial homeostasis. Here, we show that inducible endothelial ERG deletion (ErgiEC-KO) in mice is associated with spontaneous thrombosis, hemorrhages and systemic coagulopathy. We find that ERG drives transcription of the anticoagulant thrombomodulin (TM), as shown by reporter assays and chromatin immunoprecipitation. TM expression is regulated by shear stress (SS) via Krüppel-like factor 2 (KLF2). In vitro, ERG regulates TM expression under low SS conditions, by facilitating KLF2 binding to the TM promoter. However, ERG is dispensable for TM expression in high SS conditions. In ErgiEC-KO mice, TM expression is decreased in liver and lung microvasculature exposed to low SS but not in blood vessels exposed to high SS. Our study identifies an endogenous, vascular bed-specific anticoagulant pathway in microvasculature exposed to low SS.
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Affiliation(s)
- C Peghaire
- National Heart and Lung Institute, Imperial College London, London, UK
| | - N P Dufton
- National Heart and Lung Institute, Imperial College London, London, UK
| | - M Lang
- National Heart and Lung Institute, Imperial College London, London, UK
| | - I I Salles-Crawley
- Centre for Haematology, Hammersmith Hospital Campus, Imperial College London, London, UK
| | - J Ahnström
- Centre for Haematology, Hammersmith Hospital Campus, Imperial College London, London, UK
| | - V Kalna
- National Heart and Lung Institute, Imperial College London, London, UK
| | - C Raimondi
- National Heart and Lung Institute, Imperial College London, London, UK
| | - C Pericleous
- National Heart and Lung Institute, Imperial College London, London, UK
| | - L Inuabasi
- National Heart and Lung Institute, Imperial College London, London, UK
| | - R Kiseleva
- Department of Pharmacology, Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, USA
| | - V R Muzykantov
- Department of Pharmacology, Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, USA
| | - J C Mason
- National Heart and Lung Institute, Imperial College London, London, UK
| | - G M Birdsey
- National Heart and Lung Institute, Imperial College London, London, UK
| | - A M Randi
- National Heart and Lung Institute, Imperial College London, London, UK.
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Tutsch U, Tsyplyatyev O, Kuhnt M, Postulka L, Wolf B, Cong PT, Ritter F, Krellner C, Aßmus W, Schmidt B, Thalmeier P, Kopietz P, Lang M. Specific Heat Study of 1D and 2D Excitations in the Layered Frustrated Quantum Antiferromagnets Cs_{2}CuCl_{4-x}Br_{x}. Phys Rev Lett 2019; 123:147202. [PMID: 31702204 DOI: 10.1103/physrevlett.123.147202] [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: 01/22/2019] [Revised: 05/30/2019] [Indexed: 06/10/2023]
Abstract
We report an experimental and theoretical study of the low-temperature specific heat C and magnetic susceptibility χ of the layered anisotropic triangular-lattice spin-1/2 Heisenberg antiferromagnets Cs_{2}CuCl_{4-x}Br_{x} with x=0, 1, 2, and 4. We find that the ratio J^{'}/J of the exchange couplings ranges from 0.32 to ≈0.78, implying a change (crossover or quantum phase transition) in the materials' magnetic properties from one-dimensional (1D) behavior for J^{'}/J<0.6 to two-dimensional (2D) behavior for J^{'}/J≈0.78. For J^{'}/J<0.6, realized for x=0, 1, and 4, we find a magnetic contribution to the low-temperature specific heat, C_{m}∝T, consistent with spinon excitations in 1D spin-1/2 Heisenberg antiferromagnets. Remarkably, for x=2, where J^{'}/J≈0.78 implies a 2D magnetic character, we also observe C_{m}∝T. This finding, which contrasts the prediction of C_{m}∝T^{2} made by standard spin-wave theories, shows that Fermi-like statistics also plays a significant role for the magnetic excitations in spin-1/2 frustrated 2D antiferromagnets.
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Affiliation(s)
- U Tutsch
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - O Tsyplyatyev
- Institut für Theoretische Physik, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - M Kuhnt
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - L Postulka
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - B Wolf
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - P T Cong
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - F Ritter
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - C Krellner
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - W Aßmus
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - B Schmidt
- Max-Planck-Institut für Chemische Physik fester Stoffe, 01187 Dresden, Germany
| | - P Thalmeier
- Max-Planck-Institut für Chemische Physik fester Stoffe, 01187 Dresden, Germany
| | - P Kopietz
- Institut für Theoretische Physik, Goethe-Universität, 60438 Frankfurt (M), Germany
| | - M Lang
- Physikalisches Institut, Goethe-Universität, 60438 Frankfurt (M), Germany
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Chen X, Liu Y, Demelash N, Dong J, Xiao J, Zhao W, Lang M, Han Z, Zhang X, Wang T, Sun Z, Zhen Y, Qin G. Effects of different probiotics on the gut microbiome and metabolites in the serum and caecum of weaning piglets. S AFR J ANIM SCI 2019. [DOI: 10.4314/sajas.v49i3.10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Neuner I, Rajkumar R, Brambilla CR, Ramkiran S, Ruch A, Orth L, Farrher E, Mauler J, Wyss C, Kops ER, Scheins J, Tellmann L, Lang M, Ermert J, Dammers J, Neumaier B, Lerche C, Heekeren K, Kawohl W, Langen KJ, Herzog H, Shah NJ. Simultaneous PET-MR-EEG: Technology, Challenges and Application in Clinical Neuroscience. IEEE Trans Radiat Plasma Med Sci 2019. [DOI: 10.1109/trpms.2018.2886525] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Reiner G, Lang M, Willems H. Impact of different panels of microsatellite loci, different numbers of loci, sample sizes, and gender ratios on population genetic results in red deer. EUR J WILDLIFE RES 2019. [DOI: 10.1007/s10344-019-1262-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Baechler SA, Factor VM, Dalla Rosa I, Ravji A, Becker D, Khiati S, Miller Jenkins LM, Lang M, Sourbier C, Michaels SA, Neckers LM, Zhang HL, Spinazzola A, Huang SN, Marquardt JU, Pommier Y. The mitochondrial type IB topoisomerase drives mitochondrial translation and carcinogenesis. Nat Commun 2019; 10:83. [PMID: 30622257 PMCID: PMC6325124 DOI: 10.1038/s41467-018-07922-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [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: 05/08/2018] [Accepted: 11/28/2018] [Indexed: 01/23/2023] Open
Abstract
Mitochondrial topoisomerase IB (TOP1MT) is a nuclear-encoded topoisomerase, exclusively localized to mitochondria, which resolves topological stress generated during mtDNA replication and transcription. Here, we report that TOP1MT is overexpressed in cancer tissues and demonstrate that TOP1MT deficiency attenuates tumor growth in human and mouse models of colon and liver cancer. Due to their mitochondrial dysfunction, TOP1MT-KO cells become addicted to glycolysis, which limits synthetic building blocks and energy supply required for the proliferation of cancer cells in a nutrient-deprived tumor microenvironment. Mechanistically, we show that TOP1MT associates with mitoribosomal subunits, ensuring optimal mitochondrial translation and assembly of oxidative phosphorylation complexes that are critical for sustaining tumor growth. The TOP1MT genomic signature profile, based on Top1mt-KO liver cancers, is correlated with enhanced survival of hepatocellular carcinoma patients. Our results highlight the importance of TOP1MT for tumor development, providing a potential rationale to develop TOP1MT-targeted drugs as anticancer therapies.
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MESH Headings
- Animals
- Carcinogenesis/pathology
- Carcinogens/toxicity
- Carcinoma, Hepatocellular/genetics
- Carcinoma, Hepatocellular/metabolism
- Carcinoma, Hepatocellular/mortality
- Carcinoma, Hepatocellular/pathology
- Cell Nucleus/metabolism
- Cell Proliferation
- DNA Topoisomerases, Type I/genetics
- DNA Topoisomerases, Type I/metabolism
- DNA, Mitochondrial/genetics
- DNA, Mitochondrial/isolation & purification
- Datasets as Topic
- Energy Metabolism
- Female
- Fibroblasts
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Glycolysis
- HCT116 Cells
- Humans
- Liver/cytology
- Liver/metabolism
- Liver/pathology
- Liver Neoplasms/genetics
- Liver Neoplasms/metabolism
- Liver Neoplasms/mortality
- Liver Neoplasms/pathology
- Liver Neoplasms, Experimental/chemically induced
- Liver Neoplasms, Experimental/genetics
- Liver Neoplasms, Experimental/metabolism
- Liver Neoplasms, Experimental/pathology
- Male
- Mice
- Mice, Knockout
- Mice, Nude
- Mitochondria/metabolism
- Mitochondria/pathology
- Prognosis
- Protein Biosynthesis
- Survival Analysis
- Xenograft Model Antitumor Assays
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Affiliation(s)
- S A Baechler
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - V M Factor
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - I Dalla Rosa
- Department of Clinical and Movement Neurosciences, Institute of Neurology, Royal Free Campus, University College London, London, NW3 2PF, UK
| | - A Ravji
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - D Becker
- Department of Medicine I, Johannes Gutenberg University, Langenbeckstrasse 1, 55131, Mainz, Germany
| | - S Khiati
- Equipe MitoLab, Institut MitoVasc, UMR CNRS 6015, INSERM U1083, Universite d'Angers, 49933, Angers, France
| | - L M Miller Jenkins
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - M Lang
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MA, 20892, USA
| | - C Sourbier
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MA, 20892, USA
- Laboratory of Molecular Oncology, Division of Biotechnology Review and Research I, Office of Biotechnology Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, 20993, USA
| | - S A Michaels
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - L M Neckers
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MA, 20892, USA
| | - H L Zhang
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - A Spinazzola
- Department of Clinical and Movement Neurosciences, Institute of Neurology, Royal Free Campus, University College London, London, NW3 2PF, UK
| | - S N Huang
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA
| | - J U Marquardt
- Department of Medicine I, Johannes Gutenberg University, Langenbeckstrasse 1, 55131, Mainz, Germany
| | - Y Pommier
- Laboratory of Molecular Pharmacology, Developmental Therapeutics Branch, Center for Cancer Research, NIH, National Cancer Institute, Bethesda, Maryland, 20892, USA.
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Krupička R, Mareček S, Malá C, Lang M, Klempíř O, Duspivová T, Široká R, Jarošíková T, Keller J, Šonka K, Růžička E, Dušek P. Automatic substantia nigra segmentation in neuromelanin-sensitive MRI by deep neural network in patients with prodromal and manifest synucleinopathy. Physiol Res 2019; 68:S453-S458. [DOI: 10.33549/physiolres.934380] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Neuromelanin (NM) is a black pigment located in the brain in substantia nigra pars compacta (SN) and locus coeruleus. Its loss is directly connected to the loss of nerve cells in this part of the brain, which plays a role in Parkinson’s Disease. Magnetic resonance imaging (MRI) is an ideal tool to monitor the amount of NM in the brain in vivo. The aim of the study was the development of tools and methodology for the quantification of NM in a special neuromelanin-sensitive MRI images. The first approach was done by creating regions of interest, corresponding to the anatomical position of SN based on an anatomical atlas and determining signal intensity threshold. By linking the anatomical and signal intensity information, we were able to segment the SN. As a second approach, the neural network U-Net was used for the segmentation of SN. Subsequently, the volume characterizing the amount of NM in the SN region was calculated. To verify the method and the assumptions, data available from various patient groups were correlated. The main benefit of this approach is the observer-independency of quantification and facilitation of the image processing process and subsequent quantification compared to the manual approach. It is ideal for automatic processing many image sets in one batch.
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Affiliation(s)
- R. Krupička
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic.
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Chen KJ, Yu T, Pan J, Liu LN, Lang M, Bai J. [Effect of different medication time prior to corneal refractive surgery on tear film stability]. Zhonghua Yan Ke Za Zhi 2018; 54:744-747. [PMID: 30347561 DOI: 10.3760/cma.j.issn.0412-4081.2018.10.005] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effect of different medication time prior to corneal refractive surgery on tear film stability. Methods: Prospective cohort study. A total of 60 patients (60 eyes), including 38 males (63.3%) and 22 females (37.7%) with an average age of (24.2±5.1) years (form 18 to 37 years), who had planned for corneal refractive surgery with normal ocular surface disease index score were included in this study. The patients were divided into 1d group (medication of 1 day, 30 eyes) and 3d group (medication of 3 days, 30 eyes) randomly. The first tear break up time (FBUT), the average tear break up time (AVBUT) and the dry eye grade score were recorded on the examination day and the operation day with Keratograph 5M. The difference of FBUT and AVBUI between the two groups was compared with the independent sample t test. The difference of FBUT and AVBUT between the examination day and the operation day was compared with the paired t test. The difference of the dry eye classification between the two groups was compared using chi-square test. Results: The FBUT and AVBUT of 1d group and 3d group were (10.89±5.19)s and (10.88±6.82)s, (16.24±3.62)s and (16.21±4.74)s respectively in preoperative examination, and (10.65±6.03)s and (8.14±5.75)s, (15.14±5.30)s and (12.86±5.92)s respectively in operation day. There was no significant difference in FBUT and AVBUT between the two groups (t=0.01, 1,47, 0.02, 1.44; P>0.05). However, in the 3d group, the AVBUT of operation day decreased as compared with that of the examination day, and the difference was statistically significant (t=2.31, P<0.05). There was no significant difference in the distribution of dry eye classification between the two groups (χ(2)=0.07, 3.36; P>0.05). Conclusion: Both of medication of 1 day and medication of 3 days prior to corneal refractive surgery can provide a similar tear film stability, however more attention should be paid to the medication for patients with asymptomatic but abnormal BUT. (Chin J Ophthalmol, 2018, 54: 744-747).
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Affiliation(s)
- K J Chen
- Department of Ophthalmology, Institute of Field Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China
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Filser M, Schreiber H, Pöttgen J, Ullrich S, Lang M, Penner IK. The Brief International Cognitive Assessment in Multiple Sclerosis (BICAMS): results from the German validation study. J Neurol 2018; 265:2587-2593. [PMID: 30171410 DOI: 10.1007/s00415-018-9034-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [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: 05/07/2018] [Revised: 08/21/2018] [Accepted: 08/22/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Recent research has convincingly shown that the ability to work mainly depends on the cognitive status in multiple sclerosis (MS). An international committee of experts recommended a brief neuropsychological battery to evaluate cognitive performance in MS. BICAMS comprises three tests, the Symbol Digit Modalities Test (SDMT), the learning trials of the California Verbal Learning Test II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). OBJECTIVE To validate BICAMS on a sample of German MS patients and healthy controls (HCs). METHODS According to the international guidelines for validation, examiner's instructions were standardized and translated into German. Due to the availability of better normative data for future applications in routine clinical care and classification of individual performance degree, the Rey Auditory Verbal Learning Test (RAVLT) (German version: Verbaler Lern- und Merkfähigkeits-Test, VLMT) was chosen instead of CVLT-II. 172 MS patients and 100 HCs entered the study. BICAMS was administered at baseline and retest (after 3-4 weeks). RESULTS The groups did not differ in age, gender or education. Mean age of MS patients was 43.33 years (SD 11.64); 68% were female and 86.9% had relapsing-remitting MS. Patients performed significantly worse than HCs on the SDMT (p < 0.01) and on BVMT-R (p < 0.05) but not on VLMT. In addition, BICAMS was shown to be reliable over time: r = 0.71 for BVMT-R, r = 0.72 for VLMT and r = 0.85 for SDMT. SDMT z-score proved to be a good predictor for the ability to work in a full-time (p < 0.001) as well as in a part-time job (p < 0.001). VLMT z-score turned out to be a significant predictor only for the ability to work in a part-time job, while BVMT-R z-score showed no significant predictive value. CONCLUSION In this German validation study with the VLMT, the modified BICAMS (BICAMS-M) turned out to reliably detect cognitive problems in MS patients and to monitor cognitive performance over time. SDMT revealed the best predictive value for working ability. Moreover, only the SDMT was able to predict the ability to work in a part-time or full-time job. Following these results, application of the SDMT is recommended for medical statements on working ability of MS patients.
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Affiliation(s)
- M Filser
- Cogito Center for Applied Neurocognition and Neuropsychological Research, Düsseldorf, Germany
| | - H Schreiber
- Neurological Practice and Neuropoint Academy, Ulm, Germany
| | - J Pöttgen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - S Ullrich
- .05 Statistikberatung, Düsseldorf, Germany
| | - M Lang
- Neurological Practice and Neuropoint Academy, Ulm, Germany
| | - I K Penner
- Cogito Center for Applied Neurocognition and Neuropsychological Research, Düsseldorf, Germany. .,Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
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Hamza O, Lang M, Pilz P, Goncalves I, Santer D, Inci M, Podesser BK, Kiss A. P103Short-term repeated remote ischemic conditioning effect on post-infarct myocardial function: the importance of neuregulin-1. Cardiovasc Res 2018. [DOI: 10.1093/cvr/cvy060.066] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- O Hamza
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - M Lang
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - P Pilz
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - I Goncalves
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - D Santer
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - M Inci
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - B K Podesser
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
| | - A Kiss
- Ludwig Boltzmann Cluster for Cardiovascular Research, Center for Biomedical Reasearch, Vienna, Austria
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Lange K, Achenbach P, Assfalg R, Bassy M, Bechthold-Dalla Pozza S, Böcker D, Braig S, Dietz B, Dunstheimer D, Eber S, Ermer U, Gavazzeni A, Gerstl EM, Götz M, Haupt F, Haus G, Heinrich M, Heublein A, Huhn F, Jolink M, Kick K, Knopff A, Koch C, Koch R, Kuhnle-Krahl U, Kriesen Y, Landendörfer W, Lang M, Laub O, Leipold G, Leppik KH, Müller H, Nellen-Hellmuth N, Ockert C, Raminger C, Renner C, Schulzik L, Sindichakis M, Tretter S, Warncke K, Winkler C, Zeller S, Ziegler AG, Müller I. Screening auf positive diabetes-spezifische Antikörper bei Kindern in Bayern (Fr1da-Projekt): psychische Folgen der Diagnose „früher Typ-1-Diabetes“ für Eltern. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/s-0038-1641792] [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: 10/28/2022]
Affiliation(s)
- K Lange
- Medizinische Hochschule Hannover, Medizinische Psychologie, Hannover, Germany
| | - P Achenbach
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - R Assfalg
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - M Bassy
- Medizinische Hochschule Hannover, Medizinische Psychologie, Hannover, Germany
| | | | - D Böcker
- Klinikum Nürnberg, Nürnberg, Germany
| | - S Braig
- Klinikum Bayreuth, Bayreuth, Germany
| | - B Dietz
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, München, Germany
| | | | - S Eber
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, München, Germany
| | - U Ermer
- Kliniken St. Elisabeth, Neuburg/Donau, Germany
| | - A Gavazzeni
- Kinderarztpraxis Bogenhausen, München, Germany
| | - EM Gerstl
- Klinikum Dritter Orden, Passau, Germany
| | - M Götz
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Elisabethszell, Germany
| | - F Haupt
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - G Haus
- PaedNetz Bayern e.V., München, Germany
| | - M Heinrich
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - A Heublein
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - F Huhn
- Medizinische Hochschule Hannover, Medizinische Psychologie, Hannover, Germany
| | - M Jolink
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - K Kick
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - A Knopff
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - C Koch
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - R Koch
- Leopoldina Hospital, Schweinfurt, Germany
| | | | - Y Kriesen
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - W Landendörfer
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Nürnberg, Germany
| | - M Lang
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Augsburg, Germany
| | - O Laub
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Rosenheim, Germany
| | - G Leipold
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Regensburg, Germany
| | - KH Leppik
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Erlangen, Germany
| | - H Müller
- Klinikum Kempten, Kempten, Germany
| | | | - C Ockert
- RoMed Klinikum, Rosenheim, Germany
| | - C Raminger
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - C Renner
- Praxis Kinder- und Jugendmedizin, Deggendorf, Germany
| | - L Schulzik
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | | | | | - K Warncke
- Abteilung Pädiatrie, Klinikum rechts der Isar, München, Germany
| | - C Winkler
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - S Zeller
- Berufsverband der Kinder- und Jugendärzte e.V. Bayern, Kempten, Germany
| | - AG Ziegler
- Institut für Diabetesforschung, Helmholtz Zentrum München, München, Germany
| | - I Müller
- Medizinische Hochschule Hannover, Medizinische Psychologie, Hannover, Germany
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Abstract
This article describes the operative stabilization of a flail chest due to traumatic serial rib fractures with extensive chest wall deformation and respiratory insufficiency. Initial conservative treatment including systemic and regional pain management and non-invasive positive pressure ventilation did not improve the pain or ventilation. Therefore, a single-port video-assisted thoracoscopic surgery (VATS) assisted internal fixation of the ribs was performed. The thoracoscopy enabled easy repositioning of the ribs and additionally an estimation of intrathoracic injuries.
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Affiliation(s)
- M T Berninger
- BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418, Murnau am Staffelsee, Deutschland.
| | - F Kellermann
- BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418, Murnau am Staffelsee, Deutschland
| | - A Woltmann
- BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418, Murnau am Staffelsee, Deutschland
| | - V Bühren
- BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418, Murnau am Staffelsee, Deutschland
| | - M Lang
- BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418, Murnau am Staffelsee, Deutschland
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Abstract
ZusammenfassungBei einer Patientin mit follikulärem Schilddrüsenkarzinom im fortgeschrittenen Stadium mit multiplen Metastasen in Skelett, Lunge und hilären Lymphknoten zeigte sich bei normalen bis niedrigen T4-Werten eine T3-Hyperthyreose mit entsprechender klinischer Symptomatik, so daß nach Ausschluß von hormonproduzierenden Metastasen als Ursache hierfür eine vermehrte 5’-Dejodierung des T4 zu T3 zu vermuten ist.
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Voong K, Liang S, Dugan P, Torto D, Padula W, Senter J, Lang M, Hooker C, Khanna K, Feliciano J, Broderick S, Hales R. Reducing Unnecessary Healthcare Expenditure: Thoracic Oncology Multidisciplinary Clinic Reduces Resources Used in the Diagnosis and Staging of Patients with Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2017. [DOI: 10.1016/j.ijrobp.2017.06.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Voong K, Hooker C, Senter J, Forde P, Lang M, Brock M, Hales R. Immunotherapy Improves Survival in Non–small Cell Lung Cancer Patients who Require Systemic Therapy for Recurrent Disease After Definitive Multimodality Treatment. Int J Radiat Oncol Biol Phys 2017. [DOI: 10.1016/j.ijrobp.2017.06.1794] [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: 11/17/2022]
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Torres V, Arruda F, Velez-Uribe I, Lang M, Duara R, Curiel R, Loewenstein D, Rosselli M. A-23Bilingualism and Memory in Mild Cognitive Impairment (MCI). Arch Clin Neuropsychol 2017. [DOI: 10.1093/arclin/acx076.23] [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: 11/14/2022] Open
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Conniff J, Lang M, Torres V, Christopher D, Vélez-Uribe I, Sanchez A, Ardila A, Rosselli M. C-36Eye Movements When Reading in Two Orthographic Systems: English and Spanish. Arch Clin Neuropsychol 2017. [DOI: 10.1093/arclin/acx076.203] [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: 11/13/2022] Open
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Wang X, Lang M, Zhao T, Feng X, Zheng C, Huang C, Hao J, Dong J, Luo L, Li X, Lan C, Yu W, Yu M, Yang S, Ren H. Cancer-FOXP3 directly activated CCL5 to recruit FOXP3 +Treg cells in pancreatic ductal adenocarcinoma. Oncogene 2017; 36:3048-3058. [PMID: 27991933 PMCID: PMC5454319 DOI: 10.1038/onc.2016.458] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 10/18/2016] [Accepted: 10/31/2016] [Indexed: 12/15/2022]
Abstract
Forkheadbox protein 3 (FOXP3), initially identified as a key transcription factor for regulatory T cells (Treg cells), was also expressed in many tumors including pancreatic ductal adenocarcinoma (PDAC). However, its role in PDAC progression remains elusive. In this study, we utilized 120 PDAC tissues after radical resection to detect cancer-FOXP3 and Treg cells by immunohistochemistry and evaluated clinical and pathological features of these patients. Cancer-FOXP3 was positively correlated with Treg cells accumulation in tumor tissues derived from PDAC patients. In addition, high cancer-FOXP3 expression was associated with increased tumor volumes and poor prognosis in PDAC especially combined with high levels of Treg cells. Overexpression of cancer-FOXP3 promoted the tumor growth in immunocompetent syngeneic mice but not in immunocompromised or Treg cell-depleted mice. Furthermore, CCL5 was directly trans-activated by cancer-FOXP3 and promoted the recruitment of Treg cells from peripheral blood to the tumor site in vitro and in vivo. This finding has been further reinforced by the evidence that Treg cells recruitment by cancer-FOXP3 was impaired by neutralization of CCL5, thereby inhibiting the growth of PDAC. In conclusion, cancer-FOXP3 serves as a prognostic biomarker and a crucial determinant of immunosuppressive microenvironment via recruiting Treg cells by directly trans-activating CCL5. Therefore, cancer-FOXP3 could be used to select patients with better response to CCL5/CCR5 blockade immunotherapy.
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MESH Headings
- Adult
- Aged
- Animals
- Carcinoma, Pancreatic Ductal/genetics
- Carcinoma, Pancreatic Ductal/immunology
- Carcinoma, Pancreatic Ductal/metabolism
- Carcinoma, Pancreatic Ductal/pathology
- Cells, Cultured
- Chemokine CCL5/metabolism
- Chemokine CCL5/pharmacology
- Chemotaxis, Leukocyte/drug effects
- Chemotaxis, Leukocyte/genetics
- Female
- Forkhead Transcription Factors/genetics
- Forkhead Transcription Factors/physiology
- Humans
- Lymphocyte Activation/drug effects
- Lymphocyte Activation/genetics
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Nude
- Mice, SCID
- Middle Aged
- Pancreatic Neoplasms/genetics
- Pancreatic Neoplasms/immunology
- Pancreatic Neoplasms/metabolism
- Pancreatic Neoplasms/pathology
- T-Lymphocytes, Regulatory/drug effects
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/metabolism
- Tumor Microenvironment/genetics
- Pancreatic Neoplasms
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Affiliation(s)
- X Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - M Lang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - T Zhao
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - X Feng
- The State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - C Zheng
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - C Huang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - J Hao
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - J Dong
- Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, China
| | - L Luo
- Department of Gynaecology, Hepingqu Gynaecology and Obsterics Hospital, Tianjin, China
| | - X Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - C Lan
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - W Yu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
| | - M Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, China
| | - S Yang
- Penn State College of Medicine, Hershey, PA, USA
| | - H Ren
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Department of Pancreatic Cancer, Tianjin, China
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