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Salvador T, Gu L, Hay JL, Kurtansky NR, Masterson-Creber R, Halpern AC, Rotemberg V. Consent and Identifiability for Patient Images in Research, Education, and Image-Based Artificial Intelligence. JAMA Dermatol 2024; 160:470-472. [PMID: 38477909 PMCID: PMC10938239 DOI: 10.1001/jamadermatol.2024.0084] [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: 06/20/2023] [Accepted: 01/12/2024] [Indexed: 03/14/2024]
Abstract
This survey study reports the perspectives and preferences of US adults regarding use of photographs of their skin in medical research, education, and development of image-based artificial intelligence (AI).
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Affiliation(s)
- Trina Salvador
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lilly Gu
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jennifer L. Hay
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Ruth Masterson-Creber
- Department of Population Health Sciences, Weill Cornell Medical College, New York, New York
- Columbia University School of Nursing, New York, New York
| | - Allan C. Halpern
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Veronica Rotemberg
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Associate Editor, JAMA Internal Medicine
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2
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Abratenko P, Alterkait O, Andrade Aldana D, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow D, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Brunetti MB, Camilleri L, Cao Y, Caratelli D, Cavanna F, Cerati G, Chappell A, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Cross R, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Englezos P, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Franco D, Furmanski AP, Gao F, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Imani Z, Irwin B, Ismail M, James C, Ji X, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Liu H, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Martynenko S, Mastbaum A, Mawby I, McConkey N, Meddage V, Micallef J, Miller K, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Moudgalya MM, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Pophale I, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Safa I, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, St John J, Strauss T, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector. Phys Rev Lett 2024; 132:041801. [PMID: 38335355 DOI: 10.1103/physrevlett.132.041801] [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: 10/12/2023] [Accepted: 11/30/2023] [Indexed: 02/12/2024]
Abstract
We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter |U_{μ4}|^{2} in the mass ranges 10≤m_{HNL}≤150 MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245 MeV for the νπ^{0} channel, assuming |U_{e4}|^{2}=|U_{τ4}|^{2}=0. These limits represent the most stringent constraints in the mass range 35
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - D Barrow
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- University of Chicago, Chicago, Illinois 60637, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - M B Brunetti
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - Y Cao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Chappell
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | | | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - R Cross
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | - P Englezos
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - A Ereditato
- University of Chicago, Chicago, Illinois 60637, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- University of Chicago, Chicago, Illinois 60637, USA
| | - D Franco
- University of Chicago, Chicago, Illinois 60637, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - F Gao
- University of California, Santa Barbara, California 93106, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - E Gramellini
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Green
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Gu
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- University of Chicago, Chicago, Illinois 60637, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - Z Imani
- Tufts University, Medford, Massachusetts 02155, USA
| | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - M Ismail
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Nankai University, Nankai District, Tianjin 300071, China
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - H Liu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Viriginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - S Martynenko
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - I Mawby
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N McConkey
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Micallef
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M M Moudgalya
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - I Safa
- Columbia University, New York, New York 10027, USA
| | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- University of Chicago, Chicago, Illinois 60637, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - W Wu
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Li J, Chen XT, Gao YL, Wang HJ, Gu L, Fang QH, Bu XN. [Secondary non-tuberculous mycobacterium infection in patients with bronchiectasis caused by Marfan syndrome]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:31-35. [PMID: 38062691 DOI: 10.3760/cma.j.cn112147-20230928-00203] [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] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
In this article, we reported a 28-year-old female patient who presented with intermittent hemoptysis, cough, and sputum production. Laboratory tests showed no abnormalities in the blood counts or inflammatory markers, and the sputum cultures were negative. A chest computed tomography scan showed bronchiectasis associated with infection in the middle and lower lobes of the right lung and right pleural thickening. We performed bronchoalveolar lavage by bronchoscopy in the dorsal segment of the right lower lobe and found Mycobacterium avium intracellulare complex (MAC) by Next Generation Sequencing (NGS) of bronchoalveolar lavage fluid (BALF). The patient's symptoms improved significantly after anti-mycobacterium treatment and the extent of infection was reduced on imaging. To further identify the cause of bronchiectasis, the patient is tall and thin, with slender limbs. Cardiac color ultrasound showed the widening of aortic sinus. Her genetic testing of blood samples revealed the gene mutation in the FBN1 gene (c.4349G>A). Based on these results, she was diagnosed with Marfan syndrome.
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Affiliation(s)
- J Li
- Department of Respiratory and Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - X T Chen
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y L Gao
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - H J Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - L Gu
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Q H Fang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - X N Bu
- Department of Respiratory and Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
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4
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Liu FX, Qu L, Gu L. [Serology and genomic analysis of para-Bombay individuals in a hospital in Hunan Province]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:2159-2163. [PMID: 38186171 DOI: 10.3760/cma.j.cn112150-20230606-00435] [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] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
To investigate the serological and genetic characteristics of para-Bombay patients in a hospital in Hunan Province. A retrospective analysis was conducted on the blood type results of 175 439 hospitalized patients born in Hunan Province from the Third Xiangya Hospital, Central South University from 2016 to 2021. Phenotypes of ABO blood group was analyzed by blood group serology, and molecular biological methods were used to analyze the genotype, including ABO genotyping by polymerase chain reaction-sequence specific primers (PCR-SSP) and fucosyltransferase 1 (FUT1) and fucosyltransferase 2 (FUT2) gene sequencing. The results showed that 3 cases of Ah and 1 case of Bh were detected. FUT1 sequencing showed that there were 2 cases of h3h3, 1 case of h1h1 and 1 case of h302h1, of which h302 (c.302C>T) was the first discovered mutation. FUT2 sequencing revealed that 4 cases were all Se357Se357. The pedigree study showed that the inheritance of para-Bombay blood group was consistent with autosomal dominant inheritance. In conclusion, the FUT1 gene mutations leading to para-Bombay blood group mainly include h3, h1 and h302, of which h3 mutation is the most common.
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Affiliation(s)
- F X Liu
- Department of Blood Transfusion, Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - L Qu
- Department of Laboratory Medicine, Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - L Gu
- Department of Blood Transfusion, Third Xiangya Hospital, Central South University, Changsha 410013, China
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5
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Gu L, Ong M, Fan SX, Christos P, Lipner SR. Not just skin deep: Association of acne with elevated hemoglobin A1c levels in a retrospective case-control study of 1098 patients at an academic center. J Cosmet Dermatol 2023; 22:3520-3521. [PMID: 37313617 PMCID: PMC10719416 DOI: 10.1111/jocd.15851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/18/2023] [Accepted: 05/22/2023] [Indexed: 06/15/2023]
Affiliation(s)
- Lilly Gu
- Weill Cornell Medicine, New York, New York, USA
| | - Michael Ong
- Weill Cornell Medicine, New York, New York, USA
| | | | - Paul Christos
- Division of Biostatistics, Weill Cornell Medicine, New York, New York, USA
| | - Shari R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, New York, USA
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6
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Wang S, Dong Y, Gu L, Chen X, Zhang C, Long L, Wang J, Yang M. Identification and adaptive evolution analysis of glutaredoxin genes in Populus spp. Plant Biol (Stuttg) 2023; 25:1154-1170. [PMID: 37703550 DOI: 10.1111/plb.13580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/30/2023] [Indexed: 09/15/2023]
Abstract
Glutaredoxin (GRX) is a class of small redox proteins widely involved in cellular redox homeostasis and the regulation of various cellular processes. The role of GRX gene in the differentiation of Populus spp. is rarely reported. We compared the similarities and differences of GRX genes among four sections of poplar using bioinformatics, corrected the annotations of some GRX genes, and focused on analysing their transcript profiling and adaptive evolution in Populus spp. A total of 219 GRX genes were identified in four sections of poplar, among which annotations for 13 genes were corrected. Differences in GRX genes were found between sect. Turanga, represented by P. euphratica, and other poplar sections. Most notably, P. euphratica had the smallest number of duplication events for GRX genes (n = 9) and no tandem duplications, whereas there were >25 duplication events for all other poplars. Furthermore, we detected 18 pairs of GRX genes under positive selection pressure in various sections of poplar, and identified two groups of GRX genes in the Salicaceae that potentially underwent positive selection. Expression profiling results showed that the PtrGRX34 and its orthologous genes were upregulated under stress treatments. In summary, the GRX gene family underwent expansion during poplar differentiation, and some genes underwent rapid evolution during this process, which may be beneficial for Populus spp. to adapt to environmental changes. This study may provide more insights into the molecular mechanisms of Populus spp. adaptation to environmental changes and the adaptive evolution of GRX genes.
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Affiliation(s)
- S Wang
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - Y Dong
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - L Gu
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - X Chen
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - C Zhang
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - L Long
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - J Wang
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
| | - M Yang
- Institute of Forest Biotechnology, College of Forestry, Hebei Agricultural University, Baoding, China
- Hebei Key Laboratory for Tree Genetic Resources and Forest Protection, Baoding, China
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Oh Y, Sun M, Gu L, Salvador T, Sar-Graycar L, Hay JL, Quigley EA, Marchetti MA, Halpern A, Rotemberg V. Dermatology patient perspectives regarding consent, privacy, security, and identifiability of clinical photography at a tertiary cancer center: A qualitative study. JAAD Int 2023; 12:121-123. [PMID: 37409316 PMCID: PMC10319330 DOI: 10.1016/j.jdin.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023] Open
Affiliation(s)
- Yuna Oh
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mary Sun
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lilly Gu
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Trina Salvador
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Liliane Sar-Graycar
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jennifer L. Hay
- Behavioral Sciences Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | - Allan Halpern
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Veronica Rotemberg
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
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8
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Zhong JJ, Wei M, Yang CX, Yin YD, Bai Y, Li R, Gu L. [Molecular epidemiology and clinical characteristics of six cases of CA-MRSA pneumonia after influenza]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:480-486. [PMID: 37147810 DOI: 10.3760/cma.j.cn112147-20220926-00782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To summarize and analyze the strains' molecular epidemiology and clinical characteristics of 6 strains of post-influenza community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) pneumonia. Methods: Six cases of CA-MRSA pneumonia after influenza from 2014 to 2022 were retrospectively collected and CA-MRSA strains from each patient were cultured. Then, SCCmec typing, MLST typing, and spa typing were performed on the samples, which also included the procedures for the detection of virulence factors. Antibiotic susceptibility test was then performed on all 6 strains. Results: ST59-t437-Ⅳ was the predominant type in all the strains of CA-MRSA(2/6). Leukocidin (PVL) was detected in 5 cases, and hemolysin α (HLAα) and phenol soluble regulatory protein α (PSMα) were detected in 6 cases. Five of the cases included in this study were diagnosed with severe pneumonia. In terms of treatment, 4 cases received antiviral therapy, and 5 patients with severe pneumonia received anti-infection treatment with vancomycin as the first choice and were discharged after improvement of their condition. Conclusions: The molecular types and virulence factors of CA-MRSA after influenza infection could vary considerably. Our experiments also showed that secondary CA-MRSA infection after influenza was more common in young people with no underlying diseases and could cause severe pneumonia. Vancomycin and linezolid were the first-line drugs for treating CA-MRSA infection and were highly effective in improving the condition of diagnosed patients. We highlighted the importance of referring patients with severe pneumonia after influenza for etiological tests to determine whether they had CA-MRSA infection, so that they could be properly treated with anti-influenza agents and receive appropriate anti-CA-MRSA infection treatment.
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Affiliation(s)
- J J Zhong
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - M Wei
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - C X Yang
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y D Yin
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Bai
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - R Li
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - L Gu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
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Cowen EA, Sun MD, Gu L, Acevedo C, Rotemberg V, Halpern AC. Store-and-forward mobile application as an accessible method of study participant assessment. J Eur Acad Dermatol Venereol 2023; 37:e482-e485. [PMID: 36264231 PMCID: PMC10023268 DOI: 10.1111/jdv.18671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/18/2022] [Indexed: 01/19/2023]
Affiliation(s)
- Emily A Cowen
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mary Daotung Sun
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Lilly Gu
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Veronica Rotemberg
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Allan C Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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10
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Villaruz LC, Wang X, Bertino EM, Gu L, Antonia SJ, Burns TF, Clarke J, Crawford J, Evans TL, Friedland DM, Otterson GA, Ready NE, Wozniak AJ, Stinchcombe TE. A single-arm, multicenter, phase II trial of osimertinib in patients with epidermal growth factor receptor exon 18 G719X, exon 20 S768I, or exon 21 L861Q mutations. ESMO Open 2023; 8:101183. [PMID: 36905787 PMCID: PMC10163152 DOI: 10.1016/j.esmoop.2023.101183] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/08/2023] [Accepted: 02/12/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND For patients with stage IV non-small-cell lung cancer with epidermal growth factor receptor (EGFR) exon 19 deletions and exon 21 L858R mutations, osimertinib is the standard of care. Investigating the activity and safety of osimertinib in patients with EGFR exon 18 G719X, exon 20 S768I, or exon 21 L861Q mutations is of clinical interest. PATIENTS AND METHODS Patients with stage IV non-small-cell lung cancer with confirmed EGFR exon 18 G719X, exon 20 S768I, or exon 21 L861Q mutations were eligible. Patients were required to have measurable disease, an Eastern Cooperative Oncology Group performance status of 0 or 1, and adequate organ function. Patients were required to be EGFR tyrosine kinase inhibitor-naive. The primary objective was objective response rate, and secondary objectives were progression-free survival, safety, and overall survival. The study used a two-stage design with a plan to enroll 17 patients in the first stage, and the study was terminated after the first stage due to slow accrual. RESULTS Between May 2018 and March 2020, 17 patients were enrolled and received study therapy. The median age of patients was 70 years (interquartile range 62-76), the majority were female (n = 11), had a performance status of 1 (n = 10), and five patients had brain metastases at baseline. The objective response rate was 47% [95% confidence interval (CI) 23% to 72%], and the radiographic responses observed were partial response (n = 8), stable disease (n = 8), and progressive disease (n = 1). The median progression-free survival was 10.5 months (95% CI 5.0-15.2 months), and the median OS was 13.8 months (95% CI 7.3-29.2 months). The median duration on treatment was 6.1 months (range 3.6-11.9 months), and the most common adverse events (regardless of attribution) were diarrhea, fatigue, anorexia, weight loss, and dyspnea. CONCLUSIONS This trial suggests osimertinib has activity in patients with these uncommon EGFR mutations.
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Affiliation(s)
- L C Villaruz
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
| | - X Wang
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham
| | - E M Bertino
- Division of Medical Oncology, The Ohio State University James Comprehensive Cancer Center, Columbus
| | - L Gu
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham
| | | | - T F Burns
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
| | - J Clarke
- Duke Cancer Institute, Durham, USA
| | | | - T L Evans
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
| | - D M Friedland
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
| | - G A Otterson
- Division of Medical Oncology, The Ohio State University James Comprehensive Cancer Center, Columbus
| | | | - A J Wozniak
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh
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11
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Liu W, Newhall KP, Khani F, Barlow L, Nguyen D, Gu L, Eng K, Bhinder B, Uppal M, Récapet C, Sboner A, Ross SR, Elemento O, Chelico L, Faltas BM. The Cytidine Deaminase APOBEC3G Contributes to Cancer Mutagenesis and Clonal Evolution in Bladder Cancer. Cancer Res 2023; 83:506-520. [PMID: 36480186 DOI: 10.1158/0008-5472.can-22-2912] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [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: 09/14/2022] [Revised: 11/09/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022]
Abstract
Mutagenic processes leave distinct signatures in cancer genomes. The mutational signatures attributed to APOBEC3 cytidine deaminases are pervasive in human cancers. However, data linking individual APOBEC3 proteins to cancer mutagenesis in vivo are limited. Here, we showed that transgenic expression of human APOBEC3G promotes mutagenesis, genomic instability, and kataegis, leading to shorter survival in a murine bladder cancer model. Acting as mutagenic fuel, APOBEC3G increased the clonal diversity of bladder cancer, driving divergent cancer evolution. Characterization of the single-base substitution signature induced by APOBEC3G in vivo established the induction of a mutational signature distinct from those caused by APOBEC3A and APOBEC3B. Analysis of thousands of human cancers revealed the contribution of APOBEC3G to the mutational profiles of multiple cancer types, including bladder cancer. Overall, this study dissects the mutagenic impact of APOBEC3G on the bladder cancer genome, identifying that it contributes to genomic instability, tumor mutational burden, copy-number loss events, and clonal diversity. SIGNIFICANCE APOBEC3G plays a role in cancer mutagenesis and clonal heterogeneity, which can potentially inform future therapeutic efforts that restrict tumor evolution. See related commentary by Caswell and Swanton, p. 487.
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Affiliation(s)
- Weisi Liu
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Kevin P Newhall
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Case Western Reserve University, School of Medicine, Cleveland, Ohio
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York
| | - LaMont Barlow
- Department of Urology, Grossman School of Medicine, New York University, New York, New York
- Department of Pathology, Grossman School of Medicine, New York University, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
| | - Duy Nguyen
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Lilly Gu
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Ken Eng
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Bhavneet Bhinder
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Manik Uppal
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Charlotte Récapet
- Universite de Pau et des Pays de l'Adour, E2S UPPA, INRAE, ECOBIOP, Saint-Pée-sur-Nivelle, France
| | - Andrea Sboner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Susan R Ross
- Department of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Olivier Elemento
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Linda Chelico
- University of Saskatchewan, College of Medicine, Department of Biochemistry, Microbiology, and Immunology, Saskatoon, Saskatchewan, Canada
| | - Bishoy M Faltas
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York
- Department of Cell and Developmental Biology, Weill Cornell Medicine, New York, New York
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12
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Gu L, Qing S, Zhang HJ. A new prognostic model for brain metastases of specific primary tumors with stereotactic radiotherapy. Cancer Radiother 2023; 27:183-188. [PMID: 36781369 DOI: 10.1016/j.canrad.2022.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 08/16/2022] [Accepted: 08/27/2022] [Indexed: 02/13/2023]
Abstract
PURPOSE Stereotactic radiotherapy (SRT) was widely used in brain metastases (BM), especially in oligometastases. It is imperative to develop a new prognostic score to predict the overall survival (OS) of brain metastases based on prognostic factors for specific primary tumors. MATERIAL AND METHOD One hundred and ninety-seven patients were involved in the training cohort to develop a new prognostic score to predict the overall survival (OS) of brain metastases for specific primary tumors. Independent prognostic factors were confirmed using a Cox regression model. The score was developed based on clinical prognostic factors of OS with Cox proportional hazards model. The result was validated in another cohort with 56 participants to evaluate the performance of the score. RESULTS One hundred and ninety-seven patients with 329 brain metastases received SRT. For NSCLC, the significant prognostic factors were extracranial metastases, target therapy and number of brain metastases. For gastrointestinal cancer, the significant prognostic factors were target therapy and number of brain metastases. CONCLUSION The prognostic factors scores were varied by the histologic types which can be used to efficiently stratify for selected patients with brain-metastasis.
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Affiliation(s)
- L Gu
- Department of Radiation Oncology, The First Affiliated Hospital of Naval Military Medical University, Shanghai,China
| | - S Qing
- Department of Radiation Oncology, The First Affiliated Hospital of Naval Military Medical University, Shanghai,China
| | - H-J Zhang
- Department of Radiation Oncology, The First Affiliated Hospital of Naval Military Medical University, Shanghai,China.
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Chen Y, Gu L, Wu K, Zeng J, Guo P, Zhang P, He D. Photoactivatable metal organic framework for synergistic ferroptosis and photodynamic therapy using 450 nm laser. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00762-5] [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: 02/12/2023]
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14
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Falotico JM, Gu L, Lipner SR. Strategic use of virtual and face-to-face visits for optimal care of dermatologic disease. J Cosmet Dermatol 2023; 22:1692-1693. [PMID: 36592082 DOI: 10.1111/jocd.15604] [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] [Received: 11/05/2022] [Accepted: 12/12/2022] [Indexed: 01/03/2023]
Affiliation(s)
- Julianne M Falotico
- Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA
| | - Lilly Gu
- Weill Cornell Medical College, New York City, New York, USA
| | - Shari R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York City, New York, USA
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15
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Gu L, Lin E, Liu S, Yang N, Kurtansky N, Neumann N, Stoll J, Lezcano C, Pulitzer M, Noor S, Markova A, Rossi A, Dickson MA, Deng L. Efficacy of immunotherapy with combination of cryotherapy and topical imiquimod for treatment of Kaposi sarcoma. J Med Virol 2023; 95:e28396. [PMID: 36504005 PMCID: PMC10461380 DOI: 10.1002/jmv.28396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Multiple treatment modalities for Kaposi sarcoma (KS) have been reported, including chemotherapy, radiation therapy, surgical excision, electrochemotherapy, and cryotherapy. Common topical treatments include timolol, imiquimod, and alitretinoin. We searched our institutional database for patients with ICD-9 or 10 codes for KS seen by a dermatologist with experience in KS management from July 1, 2004 to January 1, 2022. We screened patient charts to include patients who received combination therapy of cryotherapy followed by topical imiquimod three times a week for 2 months (n = 9). Patients were followed in the clinic every 3 months. Time to resolution was assessed by photographic evidence of resolution as determined by a dermatologist and corroborated with clinical documentation in patient charts. Median age (IQR) at KS diagnosis was 58 (27.5) years. All patients were male (n = 9, 100%). Majority were white (n = 7, 78%) and non-Hispanic (n = 8, 89%). Five (56%) had classic KS, one (11%) had HIV-associated KS, and three (33%) were HIV-negative men who have sex with men. Median time to resolution was 30.5 weeks, with a median of two treatments. In our study, 93% (n = 42/45) of lesions and 89% (n = 8/9) of patients experienced complete resolution during a median (range) duration of follow-up of 58 (13-209) weeks. Side effects were limited to pain during cryotherapy, occasional blister formation after cryotherapy, and mild inflammation due to imiquimod. No infections were observed. Combination therapy of cryotherapy and topical imiquimod may be an efficacious and comparatively low-risk treatment for limited, cutaneous KS.
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Affiliation(s)
- Lilly Gu
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Dermatology, Weill Cornell Medical College, New York, NY 10065
| | - Erica Lin
- Warren Alpert Medical School of Brown University, Providence, RI 02903
| | - Shuaitong Liu
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ning Yang
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Nicholas Kurtansky
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Neil Neumann
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Joseph Stoll
- Department of Dermatology, Weill Cornell Medical College, New York, NY 10065
| | - Cecilia Lezcano
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Melissa Pulitzer
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sarah Noor
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alina Markova
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anthony Rossi
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Mark A. Dickson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Liang Deng
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Dermatology, Weill Cornell Medical College, New York, NY 10065
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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16
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Gu L, Mehta PP, Rao D, Rotemberg V, Capanu M, Chou J, Lin S, Sigel CS, Busam KJ, Boyce L, Gordon A, O'Reilly EM. Pancreatic cancer: Cutaneous metastases, clinical descriptors and outcomes. Cancer Med 2023; 12:179-188. [PMID: 35666021 PMCID: PMC9844595 DOI: 10.1002/cam4.4916] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 04/11/2022] [Accepted: 05/17/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Cutaneous metastases in pancreatic cancer (PC) are rare. Herein, we evaluate the clinical, genomic, and other descriptors of patients with PC and cutaneous metastases. METHODS Institutional databases were queried, and clinical history, demographics, PC cutaneous metastasis details, and overall survival (OS) from cutaneous metastasis diagnosis were abstracted. OS was estimated using Kaplan-Meier methods. RESULTS Forty patients were identified, and median age (Q1-Q3, IQR) of PC diagnosis was 66.0 (59.3-72.3, 12.9) years. Most patients had Stage IV disease at diagnosis (n = 26, 65%). The most common location of the primary tumor was the tail of the pancreas (n = 17, 43%). The most common cutaneous metastasis site was the abdomen (n = 31, 78%), with umbilical lesions occurring in 74% (n = 23) of abdominal lesions. The median OS (95% CI) was 11.4 months (7.0, 20.4). Twenty-three patients had umbilical metastases (58%), and 17 patients had non-umbilical metastases (43%). The median OS (95% CI) was 13.7 (7.0, 28.7) months in patients with umbilical metastases and 8.9 (4.1, Not reached) months in patients with non-umbilical metastases (p = 0.1). Sixteen of 40 (40%) patients underwent somatic testing, and findings were consistent with known profiles. Germline testing in 12 (30%) patients identified pathogenic variants in patients: CHEK2, BRCA1, and ATM. CONCLUSION Cutaneous metastases from PC most frequently arise from a pancreas tail primary site and most frequently occur in the umbilicus. Cutaneous metastases may generally be categorized as umbilical or non-umbilical metastases.
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Affiliation(s)
- Lilly Gu
- Memorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
- Weill Cornell MedicineNew YorkNew YorkUSA
| | - Paras P. Mehta
- Memorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Devika Rao
- Gastrointestinal Oncology Service, Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Veronica Rotemberg
- Dermatology ServiceMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Marinela Capanu
- Department of Epidemiology & BiostatisticsMemorial Sloan KetteringNew YorkNew YorkUSA
| | - Joanne Chou
- Department of Epidemiology & BiostatisticsMemorial Sloan KetteringNew YorkNew YorkUSA
| | - Sabrina Lin
- Department of Epidemiology & BiostatisticsMemorial Sloan KetteringNew YorkNew YorkUSA
| | - Carlie S. Sigel
- Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Klaus J. Busam
- Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Lindsay Boyce
- Memorial Sloan Kettering LibraryMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Allison Gordon
- Dermatology ServiceMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Eileen M. O'Reilly
- Weill Cornell MedicineNew YorkNew YorkUSA
- Gastrointestinal Oncology Service, Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
- David M. Rubenstein Center for Pancreatic Cancer, MSKNew YorkNew YorkUSA
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17
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Gu L, Oh Y, Smith MP, Kurtansky NR, Horwitz S, Kahn N, Moskowitz A, Noor SJ, Myskowski P, Rotemberg V. The potential for technology to aid quantitative assessment in cutaneous T cell lymphoma. Leuk Lymphoma 2022; 63:3501-3503. [PMID: 36434775 DOI: 10.1080/10428194.2022.2131418] [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: 11/27/2022]
Affiliation(s)
- Lilly Gu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuna Oh
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mary P Smith
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Steven Horwitz
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Niloufer Kahn
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Sarah J Noor
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
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18
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Zhang W, Gong S, Cottrell K, Briggs K, Tonini M, Gu L, Whittington D, Yuan H, Gotur D, Jahic H, Huang A, Maxwell J, Mallender W. Biochemical characterization of TNG908 as a novel, potent MTA-cooperative PRMT5 inhibitor for the treatment of MTAP-deleted cancers. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)00872-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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19
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Gu L, Mehta P, Markova A, Rossi A, Rotemberg V. 34659 Retrospective study of HPV vaccination patterns in the dermatology setting at a single institution. J Am Acad Dermatol 2022. [DOI: 10.1016/j.jaad.2022.06.837] [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: 10/14/2022]
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20
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Gu L, Pathoulas JT, Widge AS, Idnani A, Lipner SR. Exacerbation of onychophagia and onychotillomania during the COVID-19 pandemic: a survey-based study. Int J Dermatol 2022; 61:e412-e414. [PMID: 35948862 PMCID: PMC9538319 DOI: 10.1111/ijd.16395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/08/2022] [Accepted: 07/28/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Lilly Gu
- Weill Cornell Medicine, New York, NY, USA
| | | | - Alik S Widge
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Aneela Idnani
- CoFounder and President of HabitAware, New York, NY, USA
| | - Shari R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, NY, USA
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21
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Falotico JM, Gu L, Lipner SR. Not just pimple popping: The utility of hybrid telemedicine models beyond acne management amidst the ongoing COVID-19 pandemic. J Cosmet Dermatol 2022; 21:4105-4106. [PMID: 35866349 PMCID: PMC9349387 DOI: 10.1111/jocd.15256] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/03/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
Affiliation(s)
| | - Lilly Gu
- Weill Cornell Medical CollegeNew YorkNew YorkUSA
| | - Shari R. Lipner
- Weill Cornell Medicine, Department of DermatologyNew YorkNYUSA
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22
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Abstract
The concept of extrafibrillar demineralization involves selective removal of apatite crystallites from the extrafibrillar spaces of mineralized dentin without disturbing the intrafibrillar minerals within collagen. This helps avoiding activation of endogenous proteases and enables air-drying of partially demineralized dentin without causing collapse of completely demineralized collagen matrix that adversely affects resin infiltration. The objective of the present study was to evaluate the potential of quaternized carboxymethyl chitosan (QCMC)-based extrafibrillar demineralization in improving resin-dentin bond durability. Isothermal titration calorimetry indicated that QCMC synthesized by quaternization of O-carboxymethyl chitosan had moderate affinity for Ca2+ (binding constant: 8.9 × 104 M-1). Wet and dry bonding with the QCMC-based demineralization produced tensile bond strengths equivalent to the phosphoric acid (H3PO4)-based etch-and-rinse technique. Those bond strengths were maintained after thermocycling. Amide I and PO43- mappings of QCMC-conditioned dentin were performed with atomic force microscope-infrared spectroscopy (AFM-IR). Whereas H3PO4-etched dentin exhibited an extensive reduction in PO43- signals corresponding to apatite depletion, QCMC-conditioned dentin showed scattered dark areas and bright PO43- streak signals. The latter were consistent with areas identified as collagen fibrils in the amide I mapping and were suggestive of the presence of intrafibrillar minerals in QCMC-conditioned dentin. Young's modulus mapping of QCMC-demineralized dentin obtained by AFM-based amplitude modulation-frequency modulation recorded moduli that were the same order of magnitude as those in mineralized dentin and at least 1 order higher than H3PO4-etched dentin. In situ zymography of the gelatinolytic activity within hybrid layers created with QCMC conditioning revealed extremely low signals before and after thermocycling, compared with H3PO4-etched dentin for both wet and dry bonding. Confocal laser scanning microscopy identified the antibacterial potential of QCMC against Streptococcus mutans and Enterococcus faecalis biofilms. Taken together, the QCMC-based demineralization retains intrafibrillar minerals, preserves the elastic modulus of collagen fibrils, reduces endogenous proteolytic activity, and inhibits bacteria biofilms to extend dentin bond durability.
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Affiliation(s)
- T Shan
- Department of Operative Dentistry and Endodontics, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, P.R. China
| | - L Huang
- Department of Operative Dentistry and Endodontics, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, P.R. China
| | - F R Tay
- Department of Endodontics, The Dental College of Georgia, Augusta University, Augusta, GA, USA
| | - L Gu
- Department of Operative Dentistry and Endodontics, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, P.R. China
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Gu L, Lipner SR. Review of Telemedicine for Management of Acne Patients. J Cutan Med Surg 2022; 26:393-397. [DOI: 10.1177/12034754221083978] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Accelerated by the COVID-19 pandemic, telemedicine has changed the landscape of dermatology practice. This manuscript aims to review the role of telemedicine in acne management and provide management recommendations. A literature search of the PubMed and Scopus databases was conducted using keywords “acne,” “telemedicine,” “teledermatology,” “telehealth,” “virtual,” and “video.” Eight articles directly related to telemedicine and acne management were included in the study. In-person vs. telemedicine management of acne patients had high diagnostic concordance and similar efficacy and remission rates. Survey-based studies of acne patients reported high interest and satisfaction and no safety concerns with acne management via telemedicine. Telemedicine was reported as an effective triage tool. Prescription patterns for acne medications during telemedicine vs. in-person visits varied. It is likely that dermatologists will continue to treat acne and other common skin conditions via teledermatology. Therefore, it is important for dermatologists to gain comfort in utilizing virtual visits to diagnose and manage acne patients. Further studies are needed to establish a standardized structural framework for telemedicine visits to optimize patient care and outcomes for acne patients.
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Affiliation(s)
- Lilly Gu
- Weill Cornell Medicine, New York, NY, USA
| | - Shari R. Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, NY, USA
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Gu L, Paras M, Rao D, Rotemberg V, Capanu M, Chou JF, Sigel CS, Busam KJ, Boyce L, Gordon A, O'Reilly EM. Pancreatic cancer: Cutaneous metastases, clinical descriptors and outcomes. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.4_suppl.615] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
615 Background: The occurrence of cutaneous metastasis from pancreatic cancer (PC) is rare, and the exact incidence is unknown. The literature to date is primarily limited to isolated case reports. Herein, we evaluate the clinical, genomic, and other descriptors of patients with PC and cutaneous metastases. Methods: Institutional databases were queried using search terms “pancreas cancer” and “cutaneous mets”. Clinical history, demographics, PC cutaneous metastasis details, and survival outcomes were abstracted. Results were described using descriptive statistics, and overall survival (OS) from the diagnosis of cutaneous metastasis was estimated using Kaplan-Meier methods. Results: Of 140 on initial search, 40 patients met inclusion criteria of PC and cutaneous metastases and were analyzed. The median age (Q1-Q3, IQR) of pancreatic cancer diagnosis was 66.0 (59.3-72.3, 12.9) years. Most common histologic subtype was adenocarcinoma (n= 39, 98%), and one patient had a neuroendocrine malignancy. Most patients had stage IV disease at diagnosis (n=26, 65%). The most common location of the primary tumor was tail of the pancreas (n=17, 43%). Forty-eight percent (n= 19) had cutaneous metastasis at/within one month of cancer diagnosis. Most patients received chemotherapy (n=37, 93%), with 14 patients (35%) patients also receiving local therapy in the form of local excision or radiation. The most common cutaneous metastasis site was the abdomen (n=40, 66%), with umbilical lesions occurring in 58% (n=23) of abdominal lesions. The median interval (Q1-Q3, IQR) between diagnosis of pancreatic cancer and development of cutaneous metastasis was 1.4 (0-14.5, 14.5) months. The median OS (95% CI) from cutaneous metastasis diagnosis was 11 months (7.0, 20). Table details the observed differences between umbilical vs. non-umbilical metastases. Sixteen of 40 (40%) patients underwent somatic testing. The most frequently mutated genes were KRAS (n= 16, 100%), TP53 (n=7, 44%), CDKN2Ap14ARF (n=5, 31%), CDKN2Ap16INK4A (n=5, 31%), and CDKN2B (n=3, 19%). Germline testing was undertaken in 12 (30%) patients, and pathogenic variants were observed in 3: CHEK2 (n=1, 8%), BRCA1 (n=1, 8%), and ATM (n= 1, 8%). Summary of cutaneous metastasis characteristics. Conclusions: Cutaneous metastases from PC are rare and can be present at the time of diagnosis of stage IV disease, occurring most frequently in the umbilicus. Cutaneous metastases can be classified into umbilical and non-umbilical metastases, which may be due to a different biology.[Table: see text]
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Affiliation(s)
- Lilly Gu
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mehta Paras
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Devika Rao
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Veronica Rotemberg
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marinela Capanu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering, New York, NY
| | - Joanne F. Chou
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering, New York, NY
| | - Carlie S. Sigel
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Klaus J. Busam
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Lindsay Boyce
- Memorial Sloan Kettering Library, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Allison Gordon
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY
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Wang FM, Yang CY, Qian Y, Li F, Gu L, Chen DM, Sun Y, Zhu RN, Wang F, Guo Q, Zhou YT, De R, Cao L, Qu D, Zhao LQ. [Clinical characteristics of human adenovirus infection in hospitalized children with acute respiratory infection in Beijing]. Zhonghua Er Ke Za Zhi 2022; 60:30-35. [PMID: 34986620 DOI: 10.3760/cma.j.cn112140-20210809-00658] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To compare the clinical characteristics of different types of human adenovirus (HAdV) infection in hospitalized children with acute respiratory infection in Beijing, and to clarify the clinical necessity of adenovirus typing. Methods: In a cross-sectional study, 9 022 respiratory tract specimens collected from hospitalized children with acute respiratory infection from November 2017 to October 2019 in Affiliated Children's Hospital, Capital Institute of Pediatrics were screened for HAdV by direct immunofluorescence (DFA) and (or) nucleic acid detection. Then the Penton base, Hexon and Fiber gene of HAdV were amplified from HAdV positive specimens to confirm their HAdV types by phylogenetic tree construction. Clinical data such as laboratory results and imaging data were analyzed for children with predominate type HAdV infection using t, U, or χ2 test. Results: There were 392 cases (4.34%) positive for HAdV among 9 022 specimens from hospitalized children with acute respiratory infection. Among those 205 cases who were successfully typed, 131 were male and 74 were female, age of 22.6 (6.7, 52.5) months,102 cases (49.76%) were positive for HAdV-3 and 86 cases (41.95%), HAdV-7, respectively, while 17 cases were confirmed as HAdV-1, 2, 4, 6, 14 or 21. In comparison of clinical characteristics between the predominate HAdV type 7 and 3 infection, significant differences were shown in proportions of children with wheezing (10 cases (11.63%) vs. 25 cases (24.51%)), white blood cell count >15 ×109/L (4 cases (4.65%) vs.14 cases (13.73%)), white blood cell count <5×109/L (26 cases (30.23%) vs.11 cases (10.78%)), procalcitonin level>0.5 mg/L (43 cases (50.00%) vs. 29 cases (28.43%)), multilobar infiltration (45 cases (52.33%) vs.38 cases (37.25%)), pleural effusion (23 cases (26.74%) vs. 10 cases (9.80%)), and severe adenovirus pneumonia (7 cases (8.14%) vs. 2 cases (1.96%)) with χ²=5.11, 4.44, 11.16, 9.19, 4.30, 9.25, 3.91 and P=0.024, 0.035, 0.001, 0.002, 0.038, 0.002, 0.048, respectively, and also in length of hospital stay (11 (8, 15) vs. 7 (5, 13) d, Z=3.73, P<0.001). Conclusions: HAdV-3 and 7 were the predominate types of HAdV infection in hospitalized children with acute respiratory tract infection in Beijing. Compared with HAdV-3 infection, HAdV-7 infection caused more obvious inflammatory reaction, more severe pulmonary symptoms, longer length of hospital stay, suggesting the clinical necessity of further typing of HAdVs.
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Affiliation(s)
- F M Wang
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - C Y Yang
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Qian
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Li
- Department of ICU, Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Gu
- Department of Respiratory Medicine, Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - D M Chen
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Sun
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - R N Zhu
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Wang
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Q Guo
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y T Zhou
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - R De
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Cao
- Department of Respiratory Medicine, Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - D Qu
- Department of ICU, Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Q Zhao
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
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Abstract
BACKGROUND Previous meta-analyses did not explore the immediate and long-term effect of non-invasive brain stimulation (NIBS) on different cognitive domains in Alzheimer's disease (AD). The meta-analysis aimed to assess the therapy effect of repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) on different cognitive domains in AD in randomized controlled trials (RCTs). METHODS Studies published before December 2021 and exploring therapy effect of rTMS, tDCS on different cognitive domains in AD were searched in the following databases: PubMed and Web of Science. We used STATA 12.0 software to compute the standard mean difference (SMD) and a 95% confidence interval (CI). RESULTS The present study included 16 articles (including 372 AD patients treated with rTMS and 310 treated with sham rTMS) for rTMS and 11 articles (including 152 AD patients treated with tDCS and 134 treated with sham tDCS) for tDCS. The present study showed better immediate and long-term general cognitive function increase effects in AD given rTMS, compared to those given sham rTMS with random effects models (immediate effect: SMD = 2.07, 95% CI = 0.37 to 3.77, I2 = 97.8%, p < 0.001; long-term effect: SMD = 5.04, 95% CI = 2.25 to 7.84, I2 = 97.8%, p < 0.001). The present study showed no significant immediate and long-term effects of rTMS on attention, executive, language and memory functions. In addition, the present study showed no significant difference in immediate or long-term effects of tDCS on general cognitive function, attention, language or memory functions between tDCS group and sham tDCS group. CONCLUSIONS RTMS was an effective treatment technique for general cognitive function in AD, whereas tDCS showed no significant therapy effect on cognitive function in AD. More large-scale studies were essential to explore the effect of NIBS on various cognitive function in AD.
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Affiliation(s)
- L Gu
- Lihua Gu, PhD, Department of Neurology, Affiliated ZhongDa Hospital, Medical School, Southeast University, No. 87 Dingjiaqiao Road, Nanjing, Jiangsu, China, 210009, Tel: 0086-25-83262241, Fax: 0086-25-83285132, E-mail:
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27
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Abstract
OBJECTIVE Despite its low incidence, pulmonary hypertension in children places a substantial burden on families and society because survival can be shorter than 10 months and treatment options are limited and ineffective. Drugs to treat pulmonary hypertension include endothelin antagonists, phosphodiesterase type 5 inhibitors and prostacyclin, which is the most widely used to treat pediatric pulmonary hypertension. The main aim of this study was to provide a comprehensive overview of the advantages and disadvantages of prostacyclin and its analogs for treating pulmonary hypertension in children. MATERIALS AND METHODS To retrieve a thorough collection of studies, we performed a search in PubMed using the following combination of keywords: (Prostacyclins) or (Epoprostenol) or (Iloprost) or (Treprostinil) or (Beraprost), (children) and (pulmonary arterial hypertension). The time limits used for the search were December 1983 to May 2021. RESULTS The search retrieved a total of 238 articles. Titles and abstracts of articles were screened for relevance, and all relevant articles published in English were included. CONCLUSIONS Epoprostenol can be effective against severe pulmonary hypertension. Iloprost can treat severe persistent pulmonary hypertension in newborns and inhaled iloprost can be used in pulmonary vasoreactivity testing. Treprostinil is a long-acting prostacyclin analog, and it shows the highest antiproliferative activity among prostacyclins. Beraprost may be effective in premature infants, but available evidence comes from only one patient, so more clinical testing is needed.
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Affiliation(s)
- Y Wu
- Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
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28
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Gu L, Wu Y, Yi J, Liu XW. [Current status and research advances on the use of assisted traction technique in endoscopic full-thickness resection]. Zhonghua Wei Chang Wai Ke Za Zhi 2021; 24:1122-1128. [PMID: 34923801 DOI: 10.3760/cma.j.cn441530-20210412-00160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Endoscopic full-thickness resection (EFTR) allows completely resecting deep submucosal tumors (SMTs) in the gastrointestinal wall, which has a broad application prospect in clinic. However, its application and promotion are limited by complex surgical procedures and high surgical risk. Various auxiliary traction techniques are expected to reduce the operation difficulty and risk of EFTR and improve its operative success rate. To provide a reference for clinicians, we summarize various auxiliary traction techniques in EFTR in this article. The clip-with-line method is simple to operate and widely used, whereas its traction is limited and there is a risk of clip falling off. The snare traction method and the clip-snare traction method has advantage of large traction force, but its thrust is affected by the hardness of snare. The traction point of the grasping forceps traction method is flexible and easy to adjust. Nevertheless, it requires the use of a dual-channel upper endoscope, which is difficult to operate. The transparent cap traction method and the full-thickness resection device traction method takes a short time and is easy to promote, whereas the resectable lesion is limited, and the size of the lesion may affect the success rate. In contrast, the suture loop needle-T-tag tissue anchors assisted method has a large resection range, but the operation is complicated and the feasibility has not been verified. The robot-assisted method has flexible operation and excellent visualization, whereas it is expensive and difficult to operate. There is no report of the application of magnetic anchor technology in EFTR, but it may have good application prospects in the auxiliary traction of EFTR.
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Affiliation(s)
- L Gu
- Department of Gastroenterology, Xiangya Hospital, Central South University, Hunan International Scientific and Technological Cooperation Base of Artificial Intelligence Computer Aided Diagnosis and Treatment for Digestive Disease, Changsha 410008, China
| | - Y Wu
- Department of Gastroenterology, Xiangya Hospital, Central South University, Hunan International Scientific and Technological Cooperation Base of Artificial Intelligence Computer Aided Diagnosis and Treatment for Digestive Disease, Changsha 410008, China
| | - J Yi
- Department of Gastroenterology, Xiangya Hospital, Central South University, Hunan International Scientific and Technological Cooperation Base of Artificial Intelligence Computer Aided Diagnosis and Treatment for Digestive Disease, Changsha 410008, China
| | - X W Liu
- Department of Gastroenterology, Xiangya Hospital, Central South University, Hunan International Scientific and Technological Cooperation Base of Artificial Intelligence Computer Aided Diagnosis and Treatment for Digestive Disease, Changsha 410008, China
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Gu L, Xie X, Guo Z, Shen W, Qian P, Jiang N, Fan Y. Dynamic contrast-enhanced magnetic resonance imaging: A novel approach to assessing treatment in locally advanced esophageal cancer patients. Niger J Clin Pract 2021; 24:1800-1807. [PMID: 34889788 DOI: 10.4103/njcp.njcp_78_21] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Aims This study aims to investigate the potential application of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict concurrent chemoradiation (CRT) in locally advanced esophageal carcinoma. Patients and Methods This study involved 33 patients with locally advanced esophageal cancer and treated with CRT. The patients underwent DCE-MRI before CRT (pre) and 3 weeks after starting CRT (mid). The patients were categorized into two groups: complete response (CR) and non-complete response (non-CR) after 3 months of treatment. The quantitative parameters of DCE-MRI (Ktrans, Kep, and Ve), the changes and ratios of parameters (ΔKtrans, ΔKep, ΔVe, rΔKtrans, rΔKep, and rΔVe), and the relative ratio in the tumor area and a normal tube wall (rKtrans, rKep, and rVe) were calculated and compared between two timeframes in two groups, respectively. Moreover, the receiver operating characteristics (ROC) statistical analysis was used to assess the above parameters. Results We divided 33 patients into two groups: 22 in the CR group and 11 in the non-CR group. During the mid-CRT phase in the CR group, both Ktrans and Kep rapidly decreased, while only Kep decreased in the non-CR group. The pre-Ktrans and pre-Kep in the CR group were substantially higher compared to the non-CR group. Moreover, the rKtrans was also apparently observed as higher at pre-CRT in the CR group compared to the non-CR group. The ROC analysis demonstrated that the pre-Ktrans could be the best parameter to evaluate the treatment performance (AUC = 0.74). Conclusion Pre-Ktrans could be a promising parameter to forecast how patients with locally advanced esophageal cancer will respond to CRT.
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Affiliation(s)
- L Gu
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - X Xie
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Z Guo
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - W Shen
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - P Qian
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - N Jiang
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Y Fan
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
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30
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Gu L, Diaz SM, Lipner SR. Retrospective study of acne telemedicine and in-person visits at an academic center during the COVID-19 pandemic. J Cosmet Dermatol 2021; 21:36-38. [PMID: 34757675 PMCID: PMC8661784 DOI: 10.1111/jocd.14606] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/20/2021] [Accepted: 11/01/2021] [Indexed: 01/03/2023]
Affiliation(s)
- Lilly Gu
- Weill Cornell Medical College, New York, New York, USA
| | | | - Shari R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, New York, USA
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Yang CY, Zhou XH, Qian Y, Li F, Gu L, Chen DM, Sun Y, Zhu RN, Wang F, Guo Q, Zhou YT, De R, Cao L, Qu D, Zhao LQ. [Clinical characteristics of children infected with different subtypes/genotypes of human respiratory syncytial virus in Beijing from 2009 to 2017]. Zhonghua Yi Xue Za Zhi 2021; 101:2867-2872. [PMID: 34587726 DOI: 10.3760/cma.j.cn112137-20210314-00631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the different clinical characteristics of children infected with different subtype/genotype of human respiratory syncytial virus (HRSV) in Beijing. Methods: Respiratory specimens for positive HRSV were randomly collected from children with acute respiratory tract infection (ARTI) in the epidemic season of HRSV from November of each year to January of the next year during 2009 and 2017. G genes of HRSV were amplified and sequenced for subtyping and genotyping by bioinformatics analysis. Clinical data were collected and analyzed. Results: Out of 590 children, 376 (63.7%) with subtype A, and 214 (36.3) with subtype B. The annual dominant subtypes of HRSV from 2009 to 2017 were B-A-A-B-AB-A-A-B-A, respectively, whilst a total of 10 genotypes were detected with 95.8% assigned to genotype ON1 and NA1 of subtype A, and genotype BA9 of subtype B. Children infected with subtype B (96 cases, 44.9%) were more likely aged 0-3 month old than those with subtype A (118 cases, 31.4%) (P=0.001), and more likely to be admitted to Intensive Care Unit(ICU) ((124 cases, 57.9%) than those with subtype A (172 cases, 45.7%)) (P=0.005). Statistical significance were shown among children infected with genotype ON1, NA1 or BA9, in the possibility of infection in children aged 0-3 month (P=0.003), proportion of admission into ICU (P=0.007), length of stay in hospital (P=0.001), and clinical outcome (P=0.001), respectively. Conclusion: Children infected with different subtype or genotype of HRSV have different clinical characteristics, which stresses the important role of the monitoring HRSV subtypes and genotypes among children.
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Affiliation(s)
- C Y Yang
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - X H Zhou
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Qian
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Li
- Department of Intensive Care Unit Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Gu
- Department of Respiratory Diseases Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - D M Chen
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Sun
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - R N Zhu
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Wang
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Q Guo
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y T Zhou
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - R De
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Cao
- Department of Respiratory Diseases Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - D Qu
- Department of Intensive Care Unit Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Q Zhao
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
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Ren M, Ruan X, Gu L, Pexman-Fieth C, Kahler E, Yu Q. Ultra-low-dose estradiol and dydrogesterone: a phase III study for vasomotor symptoms in China. Climacteric 2021; 25:286-292. [PMID: 34402360 DOI: 10.1080/13697137.2021.1956894] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE This study aimed to evaluate the efficacy and safety of ultra-low-dose estradiol plus dydrogesterone for vasomotor symptoms in postmenopausal women in China (trial registration CTR20160689). METHODS A total of 332 patients were randomized to continuous combined estradiol 0.5 mg + dydrogesterone 2.5 mg or placebo for 12 weeks. The primary efficacy endpoint was change in the number of hot flushes per day from baseline to end of treatment. Secondary efficacy endpoints included change in the number of moderate-to-severe hot flushes per day, menopausal symptoms from baseline and quality of life. RESULTS Between baseline and end of treatment, change in the mean number of hot flushes per day was -5.9 (95% confidence interval [CI] - 6.6, -5.2) with estradiol + dydrogesterone and -4.5 (95% CI -5.1, -3.8) with placebo, with a mean difference of -1.4 hot flushes per day (95% CI -2.2, -0.7; p < 0.001). Significant differences in favor of estradiol + dydrogesterone were also observed in several secondary efficacy endpoints. The study treatment was well tolerated. CONCLUSION Continuous combined estradiol 0.5 mg + dydrogesterone 2.5 mg reduced hot flushes in postmenopausal women in China. This ultra-low-dose regimen provides an additional option for women experiencing the vasomotor symptoms of menopause. These data are consistent with previous results in other populations.
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Affiliation(s)
- M Ren
- Department of Obstetrics and Gynecology, Zhongda Hospital Southeast University, Nanjing, People's Republic of China
| | - X Ruan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China
| | - L Gu
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Nanjing, People's Republic of China
| | - C Pexman-Fieth
- Global Clinical Development, Established Pharmaceuticals Division, Abbott GmbH, Wiesbaden, Germany
| | - E Kahler
- Global Biometrics, Established Pharmaceuticals Division, Abbott Laboratories GmbH, Hannover, Germany
| | - Q Yu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, People's Republic of China
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Gu L, Berkowitz CL, Stratigis JD, Collins LK, Mostyka M, Spigland NA. Presacral epidermoid cyst in a pediatric patient. Journal of Pediatric Surgery Case Reports 2021. [DOI: 10.1016/j.epsc.2021.101904] [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] Open
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Daou H, Gu L, Lipner SR. To see or not to see: a cross-sectional study suggesting lack of bias towards authors in the peer-review process. Br J Dermatol 2021; 185:1249-1251. [PMID: 34185320 DOI: 10.1111/bjd.20607] [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] [Received: 04/07/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 11/28/2022]
Affiliation(s)
- H Daou
- Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - L Gu
- Weill Cornell Medical College, New York, NY, USA
| | - S R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, NY, USA
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Gu L, An YB, Ren MY, Wang Q, Zhang HY, Yu G, Chen JZ, Wu M, Xiao Y, Fu ZC, Zhang H, Tong WD, Ma D, Xu Q, Yao HW, Zhang ZT. [Incidence and risk factors of anastomotic leak after transanal total mesorectal excision in China: a retrospective analysis based on national database]. Zhonghua Wei Chang Wai Ke Za Zhi 2021; 24:505-512. [PMID: 34148315 DOI: 10.3760/cma.j.cn.441530-20210226-00084] [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: Transanal total mesorectal excision (taTME) was a very hot topic in the first few years since its appearance, but now more introspections and controversies on this procedure have emerged. One of the reasons why the Norwegian Ministry of Health stopped taTME was the high incidence of postoperative anastomotic leak. In current study, the incidence and risk factors of anastomotic leak after taTME were analyzed based on the data registered in the Chinese taTME Registry Collaborative (CTRC). Methods: A case-control study was carried out. Between November 15, 2017 and December 31, 2020, clinical data of 1668 patients undergoing taTME procedure registered in the CTRC database from 43 domestic centers were collected retrospectively. After excluding 98 cases without anastomosis and 109 cases without complete postoperative complication data, 1461 patients were finally enrolled for analysis. There were 1036 males (70.9%) and 425 females (29.1%) with mean age of (58.2±15.6) years and mean body mass index of (23.6±3.8) kg/m(2). Anastomotic leak was diagnosed and classified according to the International Study Group of Rectal Cancer (ISREC) criteria. The risk factors associated with postoperative anastomotic leak cases were analyzed. The impact of the cumulative number of taTME surgeries in a single center on the incidence of anastomotic leak was evaluated. As for those centers with the number of taTME surgery ≥ 40 cases, incidence of anastomic leak between 20 cases of taTME surgery in the early and later phases was compared. Results: Of 1461 patients undergoing taTME, 103(7.0%) developed anastomotic leak, including 71 (68.9%) males and 32 (31.1%) females with mean age of (59.0±13.9) years and mean body mass index of (24.5±5.7) kg/m(2). The mean distance between anastomosis site and anal verge was (2.6±1.4) cm. Thirty-nine cases (37.9%) were classified as ISREC grade A, 30 cases (29.1%) as grade B and 34 cases (33.0%) as grade C. Anastomotic leak occurred in 89 cases (7.0%,89/1263) in the laparoscopic taTME group and 14 cases (7.1%, 14/198) in the pure taTME group. Multivariate analysis showed that hand-sewn anastomosis (P=0.004) and the absence of defunctioning stoma (P=0.013) were independently associated with anastomotic leak after taTME. In the 16 centers (37.2%) which performed ≥ 30 taTME surgeries with cumulative number of 1317 taTME surgeries, 86 cases developed anastomotic leak (6.5%, 86/1317). And in the 27 centers which performed less than 30 taTME surgeries with cumulative number of 144 taTME surgeries, 17 cases developed anastomotic leak (11.8%, 17/144). There was significant difference between two kinds of center (χ(2)=5.513, P=0.019). Thirteen centers performed ≥ 40 taTME surgeries. In the early phase (the first 20 cases in each center), 29 cases (11.2%, 29/260) developed anastomotic leak, and in the later phase, 12 cases (4.6%, 12/260) developed anastomotic leak. The difference between the early phase and the later phase was statistically significant (χ(2)=7.652, P=0.006). Conclusion: The incidence of anastomotic leak after taTME may be reduced by using stapler and defunctioning stoma, or by accumulating experience.
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Affiliation(s)
- L Gu
- Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
| | - Y B An
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University; Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - M Y Ren
- Department of Gastrointestinal Surgery, The Affiliated Nanchong Central Hospital of North Sichuan Medical College, Nanchong 637900, Sichuan Province, China
| | - Q Wang
- Department of Gastrointestinal Surgery, The First Hospital of Jilin University, Changchun 130021, China
| | - H Y Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - G Yu
- Department of Gastrointestinal Surgery, Linzi People's Hospital, Linzi 255200, Shandong Province, China
| | - J Z Chen
- Department of Surgery, Koo Foundation, Sun Yat-sen Cancer Center, Taipei, Taiwan 112, China
| | - M Wu
- Department of Gastrointestinal Hernial Surgery, Yibin Second People's Hospital, Yibin 644000, Sichuan Province, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Z C Fu
- Department of Surgery, Mary Hospital, Hong Kong 999077, China
| | - H Zhang
- Department of Colorectal Cancer, Shengjing Hospital, China Medical University, Shenyang 110004, China
| | - W D Tong
- Department of General Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - D Ma
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Q Xu
- Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
| | - H W Yao
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University; Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - Z T Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University; Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, Beijing 100050, China
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Wen W, Gu L, Zhao LW, Chen MY, Yang WQ, Liu W, Zhou X, Lai GX. [Diagnosis and treatment of Chlamydia psittaci pneumonia: experiences of 8 cases]. Zhonghua Jie He He Hu Xi Za Zhi 2021; 44:531-536. [PMID: 34102714 DOI: 10.3760/cma.j.cn112147-20210205-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: In order to improve the understanding and clinical treatment of Chlamydia psittaci pneumonia, we analyzed the clinical manifestations, laboratory test results and imaging features of 8 patients. Methods: We collected the clinical data of 8 patients with Chlamydia psittaci pneumonia diagnosed by metagenomic next-generation-sequencing (mNGS) from November 2018 to February 2020, including clinical features, chest CT scan, pathological features and antibiotic use. Results: A total of one male and 7 females, aged from 45 to 85 years(median 62 years), were included in this study. All the patients had high fever, cough and most had expectoration (6/8). The leukocyte count and PCT level were mostly normal (7/8). However, we observed decreased lymphocyte count(5/8), elevated C-reactive protein in all patients, and increased ESR in most patients (7/8). The chest CT of all the patients showed large patchy consolidation, with one case having pleural effusion. The pathological manifestations were nonspecific, showing infiltration of inflammatory cells and exudation. Moxifloxacin and/or doxycycline were administered after diagnosis, and the course of treatment lasted from 14 to 21 days.Chest CT showed absorption of lesions following treatment Conclusions: Chlamydia psittaci pneumonia showed certain characteristics, including high fever with pulmonary patchy consolidation, and normal white blood cell count. Molecular diagnostic methods such as mNGS could lead to rapid diagnosis and treatment which can shorten the course of hospitalization and thus improve prognosis.
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Affiliation(s)
- W Wen
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - L Gu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - L W Zhao
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - M Y Chen
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - W Q Yang
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - W Liu
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - X Zhou
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
| | - G X Lai
- Department of Respiratory and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, the 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou 350025, China
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Zhang AR, Wang Q, Zhou CE, Zhang JG, Wang XJ, Zhao JK, Lu BH, Yang CX, Gu L, Ma LY, Su JR, Cao B, Wang H. [Risk factors and clinical prognosis analysis of carbapenem-resistant Enterobacterales bacteria nosocomial infection]. Zhonghua Yi Xue Za Zhi 2021; 101:1572-1582. [PMID: 34098684 DOI: 10.3760/cma.j.cn112137-20201224-03455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the risk factors for carbapenem-resistant Enterobacterales (CRE) infection and death. Methods: A case-control analysis of 482 inpatients in 18 secondary or tertiary hospitals in Beijing in 2018 was conducted. Patients infected by CRE were selected as the case group (n=247), and infected by carbapenem susceptible Enterobacterales (CSE) as the control group (n=235). The risk factors and clinical prognosis of CRE infection were analyzed by single factor analysis and multivariate logistic regression analysis. Results: CRE were resistant to most antimicrobials, but were highly sensitive to colistin and tigecycline, with sensitivity of 94.0% and 99.5%, respectively. Multivariate analysis showed that prior 30-day tracheal intubation (OR=2.607, 95%CI: 1.655-4.108, P<0.001), empirical treatment using third or fourth generation cephalosporins (OR=2.339, 95%CI: 1.438-3.803, P=0.001), carbapenems (OR=2.468, 95%CI: 1.610-3.782, P<0.001) and quinolones (OR=2.042, 95%CI: 1.268-3.289, P=0.003) were independent risk factors for CRE infection. Mechanical ventilation (OR=3.390, 95%CI: 1.454-7.904, P=0.005), heart failure (OR=4.679, 95%CI: 1.975-11.083, P<0.001), moderate or severe liver disease (OR=3.057, 95%CI: 1.061-8.806, P=0.038), prior 30-day quinolones exposure (OR=2.882, 95%CI: 1.241-6.691, P=0.014) and septic shock (OR=7.772, 95%CI: 3.505-17.233, P<0.001) were independent risk factors for death after CRE infection. Conclusions: Reducing the use of antimicrobials and invasive procedures such as prior 30-day tracheal intubation may reduce the probability of CRE infection. Grading the severity of the underlying disease in patients with CRE infection, as well as predicting and preventing the occurrence of septic shock will help reduce the risk of death.
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Affiliation(s)
- A R Zhang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - Q Wang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - C E Zhou
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - J G Zhang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - X J Wang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - J K Zhao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - B H Lu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - C X Yang
- Department of Infection and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - L Gu
- Department of Infection and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - L Y Ma
- Department of Laboratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - J R Su
- Department of Laboratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - B Cao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - H Wang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
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Wang Q, Gu L, Zhang M. POS0776 CORRELATION OF PERIPHERAL CD4+GRANZB+CTLS WITH DISEASE SEVERITY IN PATIENTS WITH PRIMARY SJÖGREN’S SYNDROME. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Sjögren’s syndrome (SS) is a chronic autoimmune disorder. The major histopathologic lesion of it is a focal lymphocytic infiltrate around ductal and acinar epithelial cells, which include a majority of CD4+T. Several studies have shown that the epithelial cells in SS present diverse phenomena, such as MHC class II overexpression. CD4+T cells with cytotoxic activity (CD4 CTL) have been detected in various immune responses. They are characterized by their ability to secrete perforin and granzyme B to kill the target cells in an MHC class II-restricted fashion.Objectives:So this study was to investigate the correlation of peripheral CD4+GranzB+CTLs with disease severity and organ involvement in patients with primary Sjögren’s syndrome.Methods:We recruited 116 pSS patients and 46 healthy controls using flow cytometry to examine proportion of CD4+GranzB+CTLs in their peripheral blood, and immunofluorescence to test the expression of CD4+GranzB+CTLs in labial gland. The correlations of CD4+GranzB+CTLs and the relevant clinical data were analyzed.Results:We analyzed the percentage of CD4+GranzB+cytotoxic T cells in peripheral blood mononuclear cells (PBMCs) by flow cytometry. Frequency of peripheral CD4+GranzB+CTLs were measured in 116 patients with pSS and 46 healthy controls matched for age and sex. The percentage of CD4+GranzB+CTLs were significantly up-regulated in pSS patients than healthy controls (7.1%±4.9% vs 3.1%±1.9%, p <0.0001) and positive correlation with ESSDAI in pSS patients(r = 0.6332, p<0.001). The percentage of CD4+GranzB+CTLs were markedly higher in pSS patients with extraglandular manifestations. Moreover, CD4+GranzB+CTLs were observed in the lymphocytic foci and periductal areas of the LSGs and were elevated with increased foci index (FI). After excluding the other risk factors associated with pSS, CD4+GranzB+CTLs were still related to ESSDIA and extraglandular manifestations independently(p<0.05). ROC curve analysis indicated that the area under the curve (AUC) of CD4+GranzB+CTLs was 0.796 to predict the activity of pSS, and 0.851 to presume extraglandular manifestations. The best diagnostic cut-off point was 4.865 for pSS patients.Conclusion:In this study, We provide new evidence indicating involvement of CD4+GranzB+CTLs over activation in the disease pathophysiology of pSS, which may serve as a new biomarker to evaluate the activity and severity of pSS.References:[1]Takeuchi A, Saito T. Front Immunol. (2017) 23:194.[2]Brown DM, et al. Front Immunol. (2016) 9:93.[3]Polihronis M, et al. Clin Exp Immunol. (1998) 114:485-90.[4]Xanthou G, et al. Clin Exp Immunol. (1999) 118:154-63.[5]Maehara T, et al. Ann Rheum Dis. (2017) 76:377-385.[6]Goules AV, et al. Clin Immunol. (2017) 182:30-40.[7]Hashimoto K, et al. Proc Natl Acad Sci U S A. (2019) 116:24242-24251.[8]Croia C, et al. Arthritis Rheumatol. (2014) 66:2545-57.[9]Schmidt D,et al. J Clin Invest. (1996) 97:2027–37.[10]Pandya JM, et al. Arthritis Rheum. (2010) 62:3457–66.[11]Moosig F, et al. Clin Exp Immunol. (1998) 114:113–8.[12]Peeters LM, et al. Front Immunol. (2017) 20:1160.Table 1.Multivariate analysis of CD4+GranzB+CTLs influenced by pSS-related factorsregression coefficientstandard errort-statisticsp value95%CICD8+GranzB+CTLs(%)0.1440.0334.3346.9E-50.077, 0.211ESSDAI0.2560.1222.0950.0410.011, 0.502extraglandular manifestations2.6121.2682.0590.0450.065, 5.158Figure 1.Receiver operating characteristic (ROC) curve of the frequency of CD4+GranzB+CTLs to predict ESSDAI and extraglandular manifestations responseDisclosure of Interests:None declared
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Sun J, Cui XW, Li YS, Wang SY, Yin Q, Wang XN, Gu L. The value of 18F-FDG PET/CT imaging combined with detection of CA125 and HE4 in the diagnosis of recurrence and metastasis of ovarian cancer. Eur Rev Med Pharmacol Sci 2021; 24:7276-7283. [PMID: 32706065 DOI: 10.26355/eurrev_202007_21882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To explore the clinical application value of 18F-fluorodeoxyglucose (18F-FDG) PET/CT imaging combined with detection of serum tumor molecular markers (carbohydrate antigen 125 (CA 125) and human epididymis protein 4 (HE4)) in the diagnosis of recurrence and metastasis of ovarian cancer. PATIENTS AND METHODS Clinical data about 18F-FDG PET/CT imaging and serum CA125 and HE4 of 69 ovarian cancer patients after the first cytoreductive surgery and chemotherapy were retrospectively analyzed, and the clinical application value of 18F-FDG PET/CT imaging combined with detection of CA125 and HE4 in the diagnosis of recurrence and metastasis of ovarian cancer was evaluated. RESULTS The 18F-FDG PET/CT images of recurrence and metastasis of ovarian cancer showed hypermetabolism. The sensitivity, specificity, accuracy, predictive positive value, and predictive negative value of 18F-FDG PET/CT imaging for the diagnosis of recurrence and metastasis of ovarian cancer were 90.74%, 86.67%, 89.86%, 96.08%, and 72.22%, respectively; those of CA125 for the diagnosis of them were 77.78%, 86.67%, 79.71%, 95.45% and 52.00%, respectively, and those of HE4 for the diagnosis of them were 70.37%, 93.33%, 76.84%, 97.44%, and 48.39% respectively. In addition, the sensitivity and specificity of 18F-FDG PET/CT combined with detection of serum CA125 and HE4 for the diagnosis were 100.00% and 100.00%, respectively, significantly higher than those of separate 18F-FDG PET/CT imaging, detection of serum CA125, and detection of serum HE4 (c2 = 5.243, 13.500, 18.783, p = 0.022, 0.000, 0.000; c2 = 4.000, 8.525, 9.864, p = 0.046, 0.004, 0.002), and the accuracy of the combination use of them was 95.65%, also significantly higher than that of separate CA125 and HE4 (c2 = 8.118, 10.315, p = 0.004, 0.001, both p < 0.01). Furthermore, the maximum standardized uptake value (SUVmax) of 18F-FDG PET/CT imaging for recurrence and metastasis of ovarian cancer focuses was significantly positively correlated with serum CA125 and HE4 levels (r = 0.596, p = 0.000; r = 0.431, p = 0.002), and the serum CA125 level was also significantly positively correlated with serum HE4 level in patients with recurrent or metastasized ovarian cancer (r = 0.198, p = 0.043,). CONCLUSIONS 18F-FDG PET/CT imaging combined with detection of serum CA125 and HE4 can significantly improve the diagnostic efficiency to recurrence and metastasis of ovarian cancer and is conducive to the early diagnosis of the recurrence and metastasis, which provides a basis for further clinical intervention.
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Affiliation(s)
- J Sun
- Imaging Department, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
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40
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Gu L, Li W, Reichhardt C, Reichhardt CJO, Murillo MS, Feng Y. Continuous and discontinuous transitions in the depinning of two-dimensional dusty plasmas on a one-dimensional periodic substrate. Phys Rev E 2021; 102:063203. [PMID: 33466093 DOI: 10.1103/physreve.102.063203] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 11/12/2020] [Indexed: 11/07/2022]
Abstract
Langevin dynamical simulations are performed to study the depinning dynamics of two-dimensional dusty plasmas on a one-dimensional periodic substrate. From the diagnostics of the sixfold coordinated particles P_{6} and the collective drift velocity V_{x}, three different states appear, which are the pinning, disordered plastic flow, and moving ordered states. It is found that the depth of the substrate is able to modulate the properties of the depinning phase transition, based on the results of P_{6} and V_{x}, as well as the observation of hysteresis of V_{x} while increasing and decreasing the driving force monotonically. When the depth of the substrate is shallow, there are two continuous phase transitions. When the potential well depth slightly increases, the phase transition from the pinned to the disordered plastic flow states is continuous; however, the phase transition from the disordered plastic flow to the moving ordered states is discontinuous. When the substrate is even deeper, the phase transition from the pinned to the disordered plastic flow states changes to discontinuous. When the depth of the substrate further increases, as the driving force increases, the pinned state changes to the moving ordered state directly, so that the disordered plastic flow state disappears completely.
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Affiliation(s)
- L Gu
- Center for Soft Condensed Matter Physics and Interdisciplinary Research, School of Physical Science and Technology, Soochow University, Suzhou 215006, China
| | - W Li
- Center for Soft Condensed Matter Physics and Interdisciplinary Research, School of Physical Science and Technology, Soochow University, Suzhou 215006, China
| | - C Reichhardt
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C J O Reichhardt
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M S Murillo
- Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, Michigan 48824, USA
| | - Yan Feng
- Center for Soft Condensed Matter Physics and Interdisciplinary Research, School of Physical Science and Technology, Soochow University, Suzhou 215006, China.,National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210093, China
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Fang F, Gu L. Exploration into the Clinical Value of Breast-Conserving Therapy Combined with Sentinel Lymph Node Biopsy in the Treatment of Early Breast Cancer. Indian J Pharm Sci 2021. [DOI: 10.36468/pharmaceutical-sciences.spl.282] [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: 11/22/2022] Open
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Gu L, Wang L, Miao W, Cheng SS, Dai JJ. [Influence of comprehensive incubational measures on the perioperative treatment of extensively burned patients who underwent escharectomy and skin grafting]. Zhonghua Shao Shang Za Zhi 2020; 36:1060-1064. [PMID: 33238689 DOI: 10.3760/cma.j.cn501120-20191218-00461] [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 explore the influence of standardized and comprehensive incubational measures on perioperative treatment of extensively burned patients who underwent escharectomy and skin grafting. Methods: From January 2017 to November 2018, 50 patients with extensive burn who underwent escharectomy and skin grafting in the First Affiliated Hospital of Air Force Medical University and met the inclusion criteria of this study, were recruited in this retrospective cohort study. According to the incubational measures at that time, 20 patients (14 males and 6 females, aged (33.5±5.2) years) who received routine incubation during the perioperative period from January to October 2017 were set as routine incubation group, and 30 patients (23 males and 7 females, aged (35.8±1.4) years) who received standardized comprehensive incubational measures during the perioperative period from November 2017 to November 2018 were set as comprehensive incubation group. Their body temperature was controlled mainly in 4 stages: preoperative preparation and transfer from intensive care unit (ICU) to operating room, preoperative preparation in operating room, intraoperative operating room management, as well as postoperative transfer from operating room to ICU. The initial body temperature in operating room and intraoperative hypothermia duration, intraoperative blood loss, postoperative recovery time, postoperative chill, blister, and ulcer, and wound healing rate on post operation day (POD) 10 were recorded and calculated. Data were statistically analyzed with two independent samples t test and chi-square test. Results: (1) The initial body temperature in operating room of patients in comprehensive incubation group was (36.3±0.4) ℃, which was significantly higher than (35.6±0.4)℃ in routine incubation group, t=6.658, P<0.01; the intraoperative duration of hypothermia was (205±38) min, which was significantly shorter than (234±42) min in routine incubation group, t=2.564, P<0.05. (2) The intraoperative blood loss of patients in comprehensive incubation group was (323±114) mL, which was significantly less than (490±162) mL in routine incubation group, t=4.272, P<0.01; the postoperative recovery time was (36±8) min, which was significantly shorter than (49±17) min in routine incubation group, t=3.229, P<0.01. (3) The incidence of postoperative chill of patients in comprehensive incubation group was significantly lower than that in routine incubation group (χ(2)=28.626, P<0.01). The incidences of postoperative blister and ulcer of patients between the 2 groups were close. (4) On POD 10, the wound healing rate of patients in comprehensive incubation group was (78.08±0.06)%, which was significantly higher than (71.03±0.08)% in routine incubation group, t=3.694, P<0.01. Conclusions: The standardized and comprehensive incubational measures can effectively improve the initial body temperature of patients entering the operating room, shorten the intraoperative duration of hypothermia, reduce the amount of blood loss and postoperative complications, as well as shorten the postoperative recovery time, thus improve the wound healing rate.
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Affiliation(s)
- L Gu
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - L Wang
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - W Miao
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - S S Cheng
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - J J Dai
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans JJ, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith GA, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn BR, Lorca D, Louis WC, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Porzio D, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz DW, Schukraft A, Shaevitz MH, Sharankova R, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thornton RT, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida MA, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Differential Charged Current Quasielasticlike ν_{μ}-Argon Scattering Cross Sections with the MicroBooNE Detector. Phys Rev Lett 2020; 125:201803. [PMID: 33258649 DOI: 10.1103/physrevlett.125.201803] [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: 06/08/2020] [Revised: 09/11/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino (ν_{μ}) scattering on argon with a muon and a proton in the final state, ^{40}Ar (ν_{μ},μp)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an exposure of 4.59×10^{19} protons on target. Events are selected to enhance the contribution of CC quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single differential cross sections in final state muon and proton kinematics. We measure the integrated per-nucleus CCQE-like cross section (i.e., for interactions leading to a muon, one proton, and no pions above detection threshold) of (4.93±0.76_{stat}±1.29_{sys})×10^{-38} cm^{2}, in good agreement with theoretical calculations. The single differential cross sections are also in overall good agreement with theoretical predictions, except at very forward muon scattering angles that correspond to low-momentum-transfer events.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Alrashed
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Balasubramanian
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - V Basque
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | | | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - E Church
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, USA
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - E O Cohen
- Tel Aviv University, Tel Aviv, Israel 69978
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | | | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - D Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - L Domine
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- Davidson College, Davidson, North Carolina 28035, USA
| | | | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G A Fiorentini Aguirre
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | | | - B T Fleming
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Gu
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Hall
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - P Hamilton
- Syracuse University, Syracuse, New York 13244, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E-C Huang
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Jan de Vries
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Kirby
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - R LaZur
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - I Lepetic
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Li
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - D Lorca
- Universität Bern, Bern CH-3012, Switzerland
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - A Marchionni
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Marcocci
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - J Martin-Albo
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R K Neely
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - P Nienaber
- Saint Mary's University of Minnesota, Winona, Minnesota 55987, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A Paudel
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | | | - D Porzio
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - H E Rogers
- St. Catherine University, Saint Paul, Minnesota 55105, USA
| | - M Rosenberg
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | | | - B Russell
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - G Scanavini
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - S R Soleti
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - R T Thornton
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - S Tufanli
- Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - R G Van de Water
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Abstract
Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human behavior. To appreciate human-technology interaction in the clinical setting, augmented intelligence has been proposed as a cognitive extension of AI in health care, emphasizing its assistive and supplementary role to medical professionals. While truly autonomous medical robotic systems are still beyond reach, the virtual component of AI, known as software-type algorithms, is the main component used in dentistry. Because of their powerful capabilities in data analysis, these virtual algorithms are expected to improve the accuracy and efficacy of dental diagnosis, provide visualized anatomic guidance for treatment, simulate and evaluate prospective results, and project the occurrence and prognosis of oral diseases. Potential obstacles in contemporary algorithms that prevent routine implementation of AI include the lack of data curation, sharing, and readability; the inability to illustrate the inner decision-making process; the insufficient power of classical computing; and the neglect of ethical principles in the design of AI frameworks. It is necessary to maintain a proactive attitude toward AI to ensure its affirmative development and promote human-technology rapport to revolutionize dental practice. The present review outlines the progress and potential dental applications of AI in medical-aided diagnosis, treatment, and disease prediction and discusses their data limitations, interpretability, computing power, and ethical considerations, as well as their impact on dentists, with the objective of creating a backdrop for future research in this rapidly expanding arena.
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Affiliation(s)
- T Shan
- Department of Operative Dentistry and Endodontics, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China
| | - F R Tay
- The Dental College of Georgia, Augusta University, Augusta, GA, USA
| | - L Gu
- Department of Operative Dentistry and Endodontics, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China
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Gu L, Xiang L, Lipner SR. Analysis of availability of online dermatology appointments during the COVID-19 pandemic. J Am Acad Dermatol 2020; 84:517-520. [PMID: 33127378 PMCID: PMC7591298 DOI: 10.1016/j.jaad.2020.10.069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/13/2020] [Accepted: 10/20/2020] [Indexed: 10/25/2022]
Affiliation(s)
- Lilly Gu
- Weill Cornell Medical College, New York, New York
| | - Laura Xiang
- Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Shari R Lipner
- Weill Cornell Medicine, Department of Dermatology, New York, New York.
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Gu L. Effect of cognitive reserve on cognition function in Parkinson's disease: A PRISMA-compliant meta-analysis. Parkinsonism Relat Disord 2020. [DOI: 10.1016/j.parkreldis.2020.06.093] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Che N, Qiu W, Wang JK, Sun XX, Xu LX, Liu R, Gu L. MOTS-c improves osteoporosis by promoting the synthesis of type I collagen in osteoblasts via TGF-β/SMAD signaling pathway. Eur Rev Med Pharmacol Sci 2020; 23:3183-3189. [PMID: 31081069 DOI: 10.26355/eurrev_201904_17676] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate whether MOTS-c can regulate the synthesis of type I collagen in osteoblasts by regulating TGF-β/SMAD pathway, thereby improving osteoporosis. MATERIALS AND METHODS Viability of hFOB1.19 cells treated with MOTS-c was detected by CCK-8 assay. The mRNA and protein levels of TGF-β, SMAD7, COL1A1 and COL1A2 in hFOB1.19 cells were detected by quantitative Real-time polymerase chain reaction (qRT-PCR) and Western blot, respectively. We then changed expressions of TGF-β and SMAD7 by plasmids transfection to detect levels of COL1A1 and COL1A2 in hFOB1.19 cells by qRT-PCR and Western blot, respectively. RESULTS Cell viability was significantly increased after treatment of 1.0 μM MOTS-c for 24 h or 0.5 μM MOTS-c for 48 h in a time-dependent manner. The mRNA and protein expressions of TGF-β, SMAD7, COL1A1 and COL1A2 in hFOB1.19 cells were dependent on the concentration of MOTS-c. In addition, MOTS-c increased the expressions of COL1A1 and COL1A2, which were partially reversed by knockdown of TGF-β or SMAD7. CONCLUSIONS MOTS-c could promote osteoblasts to synthesize type I collagen via TGF-β/SMAD pathway.
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Affiliation(s)
- N Che
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Brendel MB, Khosravi P, Tse E, Gu L, Shohdy K, Bareja R, Bhinder B, Elemento O, Faltas B, Hajirasouliha I. Abstract 859: Deep learning predicts expression-based molecular subtypes and immune status of urothelial cancer using digital pathology slides. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-859] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
RNA-sequencing (RNA-seq) has revealed intrinsic subtypes of urothelial carcinoma (UC). We have recently developed a molecular classifier to separate UC tumors to ‘hot' and ‘cold' based on the expression of immune-related genes. Both molecular subtype and immune-status correlate with response to different treatments, however, RNA-seq data is not readily available for all tumors thus limiting our ability to predict treatment response. We hypothesized that a deep learning approach can predict urothelial cancer molecular subtype and classify immune cell levels from pathology tissue slides. To test this hypothesis, we developed a deep learning model to classify urothelial carcinoma subtypes from hematoxylin and eosin (H&E) stained tissue sections using BASE47 luminal-basal classification and our immune-status classifiers based on RNA-seq data from patients in the TCGA dataset as ground truth. Patches of 2048x2048 pixels were generated from 446 whole slide images (WSIs) resulting in a total of 79,053 images. 70% of the patients were used for training, and 15% are being used as a validation set. The remaining 15% of the data will be a blind test set. We used the Resnet-18 architecture, which performed best based on empirical testing (high accuracy while minimizing overfitting). We performed a color normalization step based on the Vahadane algorithm (IEEE Trans Med Imaging. 2016;35(8):1962 71) to analyze the predictive performance and generalizability of the model compared to non-normalized slides. We also used gradient-weighted class activation mapping to highlight the regions of the tissue that may be important for classification. After 20 epochs of training, we achieved a 74% patch prediction accuracy on the validation set with a ROC-AUC of 0.80 for non-normalized immune cell classification. For normalized images, we achieved a 70% patch prediction accuracy on the validation set with a ROC-AUC of 0.75. For the luminal-basal subtype classification task, we achieved a 68% patch wise accuracy on the validation set with a ROC-AUC of 0.76 for normalized data and 68% patch-wise accuracy with a ROC-AUC of 0.74 for non-normalized data. We are currently testing the model on an internal urothelial cancer cohort at Weill Cornell Medicine. Our data demonstrates the utility of deep learning methods in predicting UC molecular subtype and immune status from digital pathology slides. This data has important implications for predicting prognosis and treatment response in UC patients.
Citation Format: Matthew Bryan Brendel, Pegah Khosravi, Emily Tse, Lilly Gu, Kyrillus Shohdy, Rohan Bareja, Bhavneet Bhinder, Olivier Elemento, Bishoy Faltas, Iman Hajirasouliha. Deep learning predicts expression-based molecular subtypes and immune status of urothelial cancer using digital pathology slides [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 859.
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Affiliation(s)
| | | | - Emily Tse
- Weill Cornell Medical College, New York, NY
| | - Lilly Gu
- Weill Cornell Medical College, New York, NY
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Gu L, Lipner SR. Analysis of education on nail conditions at the American Academy of Dermatology annual meetings. Cutis 2020; 105:259-260. [PMID: 32603390] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- Lilly Gu
- Weill Cornell Medicine, New York, New York, USA
| | - Shari R Lipner
- Department of Dermatology, Weill Cornell Medicine, New York, New York, USA
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen E, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Joshi J, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li Y, Lister A, Littlejohn B, Lockwitz S, Lorca D, Louis W, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moore C, Mousseau J, Murrells R, Naples D, Neely R, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Porzio D, Prince S, Pulliam G, Qian X, Raaf J, Radeka V, Rafique A, Ren L, Rochester L, Rogers H, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thornton R, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Van de Water R, Viren B, Weber M, Wei H, Wickremasinghe D, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.101.052001] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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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