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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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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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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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Gu L, Guo H, Wu LX, Yuan JB. Prognostic analysis and validation of lncRNAs in bladder cancer on the basis of neutrophil extracellular traps. J Gene Med 2023; 25:e3525. [PMID: 37178049 DOI: 10.1002/jgm.3525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/13/2023] [Accepted: 04/22/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Complex interactions in the tumor microenvironment (TME) between bladder cancer (BLCA) and immune cells are critical for cancer progression. However, studies of neutrophil extracellular trap-associated long non-coding RNAs (NET-lncRNAs) in the TME of BLCA have not been reported. This study aims to screen for NET-lncRNAs in BLCA and to preliminarily explore their effects on BLCA development. METHODS The correlation of NET-related gene sets, which were identified from the cancer genome atlas (TCGA) BLCA datasets, with lncRNAs was analyzed and the prognosis-related genes were identified through random forest analysis. The least absolute shrinkage and selection operator (LASSO) model was utilized to obtain prognostic risk scores for NET-lncRNAs (NET-Score). We collected clinical BLCA samples, as well as SV-HUC-1 and BLCA cells, to validate the expression of NET-lncRNAs. Survival and independent prognostic analysis were performed. In J82 and UM-UC-3 cells, after NKILA expression was inhibited, cell proliferation and apoptosis levels were detected. RESULTS NET-related gene sets mainly included CREB5, MMP9, PADI4, CRISPLD2, CD93, DYSF, MAPK3, TECPR2, MAPK1 and PIK3CA. Then, four NET-lncRNAs, MAP 3 K4-AS1, MIR100HG, NKILA and THY1-AS1, were identified. NET-Score had the highest hazard ratio for BLCA. An elevated NET-Score was linked to a significant increase in immune cell infiltration and copy number variation, as well as a notable decrease in survival rate and drug sensitivity. NET-lncRNA-related genes were mainly enriched in the pathways of angiogenesis, immune response, cell cycle and T cell activation. MAP 3 K4-AS1, MIR100HG, NKILA and THY1-AS1 expressions were significantly increased in BLCA tissues. Compared with SV-HUC-1 cells, NKILA expression was elevated in J82 and UM-UC-3 cells. Inhibition of NKILA expression inhibited the proliferation and promoted apoptosis of J82 and UM-UC-3 cells. CONCLUSIONS Several NET-lncRNAs, including MAP 3 K4-AS1, MIR100HG, NKILA and THY1-AS1, were successfully screened in the BLCA. The NET-Score was an independent prognostic factor for BLCA. In addition, inhibition of NKILA expression suppressed BLCA cell development. The above NET-lncRNAs could serve as potential prognostic markers and targets in BLCA.
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Affiliation(s)
- Lan Gu
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hao Guo
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Long-Xiang Wu
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jun-Bin Yuan
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
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6
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Lu L, Quan L, Li J, Yuan J, Nie X, Huang X, Dong H, Su Y, Huang Y, Kou Q, Liu L, Liu H, Zhou X, Gui R, Gu L. Bioengineered stem cell membrane functionalized nanoparticles combine anti-inflammatory and antimicrobial properties for sepsis treatment. J Nanobiotechnology 2023; 21:170. [PMID: 37237294 DOI: 10.1186/s12951-023-01913-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Sepsis is a syndrome of physiological, pathological and biochemical abnormalities caused by infection. Although the mortality rate is lower than before, many survivors have persistent infection, which means sepsis calls for new treatment. After infection, inflammatory mediators were largely released into the blood, leading to multiple organ dysfunction. Therefore, anti-infection and anti-inflammation are critical issues in sepsis management. RESULTS Here, we successfully constructed a novel nanometer drug loading system for sepsis management, FZ/MER-AgMOF@Bm. The nanoparticles were modified with LPS-treated bone marrow mesenchymal stem cell (BMSC) membrane, and silver metal organic framework (AgMOF) was used as the nanocore for loading FPS-ZM1 and meropenem which was delivery to the infectious microenvironments (IMEs) to exert dual anti-inflammatory and antibacterial effects. FZ/MER-AgMOF@Bm effectively alleviated excessive inflammatory response and eliminated bacteria. FZ/MER-AgMOF@Bm also played an anti-inflammatory role by promoting the polarization of macrophages to M2. When sepsis induced by cecal ligation and puncture (CLP) challenged mice was treated, FZ/MER-AgMOF@Bm could not only reduce the levels of pro-inflammatory factors and lung injury, but also help to improve hypothermia caused by septic shock and prolong survival time. CONCLUSIONS Together, the nanoparticles played a role in combined anti-inflammatory and antimicrobial properties, alleviating cytokine storm and protecting vital organ functions, could be a potential new strategy for sepsis management.
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Affiliation(s)
- Lu Lu
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Lingli Quan
- Department of Pulmonary and Critical Care Medicine, The Affiliated Zhuzhou Hospital of Xiangya Medical College, Central South University, Zhuzhou, 412007, China
| | - Jian Li
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Junbin Yuan
- Department of Urology, The Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Xinmin Nie
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Xueyuan Huang
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Hang Dong
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Yanrong Su
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Yufen Huang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Qingjie Kou
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Leping Liu
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Haiting Liu
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Xionghui Zhou
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Rong Gui
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China.
| | - Lan Gu
- Department of Blood Transfusion, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China.
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7
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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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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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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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11
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Yang S, Liu Y, Zuo H, Feng L, Xu C, Gu L, Gao F. Effects of body parameters on renal cortical stiffness measured by shear-wave elastography in patients with kidney transplantation. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2022; 47:1385-1391. [PMID: 36411689 PMCID: PMC10930363 DOI: 10.11817/j.issn.1672-7347.2022.220170] [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] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVES The results of elastic imaging in evaluating the function and histopathological changes of allogeneic renal transplantation are contradictory, one of the important reasons may be that there are differences in human parameters related to kidney transplantation among individuals. The purpose of this study is to explore the related human body parameters on shear-wave elastography (SWE) effects on quantitative stiffness of graft cortex. METHODS From March 2021 to November 2021, a total of 63 patients with allogeneic kidney transplantation in the Department of Ultrasonography, Third Xiangya Hospital, Central South University, were selected to collect the parameters of two-dimensional, color Doppler and SWE. The subjects were divided into a <20% group and a 20%-30% group according to the variation of cortical hardness measurement. Mann Whitney U test was used to compare the differences in relevant human parameters, and Spearman rank correlation was used to analyze the correlation between relevant human parameters and cortical hardness of transplanted kidney. RESULTS There was no significant difference between the 2 groups in age, sex, postoperative time, resistance index of interlobar artery, SCr, blood uric acid, ratio of fat layer to muscle layer, and BMI (all P>0.05). Compared with the <20% group, the patients in the 20%-30% group had smaller cortical hardness of the transplanted kidney, greater total distance between the transplanted kidney and the skin surface, and thicker fat layer or muscle layer in front of the transplanted kidney (all P<0.05). The age of patients, the total distance from the transplanted kidney to the skin surface, the thickness of fat layer and muscle layer, the ratio of fat layer to muscle layer, BMI, and the variation of cortical hardness were significantly negatively correlated with the cortical hardness of the transplanted kidney (all P<0.05). CONCLUSIONS Human parameters relevant to kidney transplantation affect the accuracy of SWE in measuring the cortical hardness of the transplanted kidney. It is very important to obtain the highly stabile elastic measurement value and interpret the elastic measurement results according to different levels of human body related parameters in combination with individual conditions.
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Affiliation(s)
- Shuting Yang
- Department of Ultrasonography, Third Xiangya Hospital, Central South University, Changsha 410013.
| | - Yuwan Liu
- Department of Ultrasonography, Third Xiangya Hospital, Central South University, Changsha 410013
| | - Huilan Zuo
- Department of Ultrasonography, Changsha Central Hospital, Changsha 410018
| | - Linna Feng
- Department of Ultrasonography, Third Xiangya Hospital, Central South University, Changsha 410013
| | - Chengshu Xu
- Department of Ultrasonography, Third Xiangya Hospital, Central South University, Changsha 410013
| | - Lan Gu
- Department of Blood Transfusion, Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Feng Gao
- Department of Ultrasonography, Third Xiangya Hospital, Central South University, Changsha 410013.
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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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13
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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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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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15
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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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16
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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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17
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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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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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Yuan JB, Gu L, Chen L, Yin Y, Fan BY. Annexin A8 regulated by lncRNA-TUG1/miR-140-3p axis promotes bladder cancer progression and metastasis. Mol Ther Oncolytics 2021; 22:36-51. [PMID: 34401471 PMCID: PMC8332373 DOI: 10.1016/j.omto.2021.04.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/15/2021] [Indexed: 01/03/2023]
Abstract
Bladder cancer is the ninth most diagnosed cancer in the world. This study aims to investigate the role and mechanisms of the taurine-upregulated gene 1 (TUG1)/miR-140-3p/annexin A8 (ANXA8) axis in bladder cancer. Western blotting and qRT-PCR determined the expression levels of ANXA8, miR-140-3p, TUG1, and epithelial-mesenchymal transition (EMT) markers. RNA immunoprecipitation (RIP), luciferase assay, and RNA pull-down assay validated the association among ANXA8, miR-140-3p, and TUG1. The biological functions were determined by colony formation, Annexin V-fluorescein isothiocyanate (FITC)/propidium (PI) staining, and transwell assays. Xenograft tumorigenesis detected tumor growth and metastasis in vivo. Pathological analysis was examined by hematoxylin and eosin (H&E) and immunohistochemistry (IHC) analyses. ANXA8 was elevated in bladder tumors and cells. Knockdown of ANXA8 suppressed cell growth, migration, invasion, and EMT in UMUC-3 and T24 cells. ANXA8 was determined as a miR-140-3p target gene. Overexpression of miR-140-3p suppressed cell proliferation, migration, invasion, and EMT via targeting ANXA8. TUG1 promoted ANXA8 expression via sponging miR-140-3p. Silencing of miR-140-3p or ANXA8 overexpression abrogated the tumor-suppressive effects of TUG1 silencing on bladder cancer cell growth and metastasis. The TUG1/miR-140-3p/ANXA8 axis was also implicated in tumor growth and lung metastasis in vivo. TUG1 promotes bladder cancer progression and metastasis through activating ANXA8 by sponging miR-140-3p, which sheds light on the mechanisms of bladder cancer pathogenesis.
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Affiliation(s)
- Jun-Bin Yuan
- Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, P.R. China
| | - Lan Gu
- Department of Blood Transfusion, Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, P.R. China
| | - Liu Chen
- Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, P.R. China
| | - Yu Yin
- Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, P.R. China
| | - Ben-Yi Fan
- Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, P.R. 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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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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Mao H, Li X, Lin X, Zhou L, Zhang X, Cao Y, Jiang Y, Chen H, Fang X, Gu L. A Comparison of CT Manifestations between Coronavirus Disease 2019 (COVID-19) and Other Types of Viral Pneumonia. Curr Med Imaging 2021; 17:1316-1323. [PMID: 33602104 DOI: 10.2174/1573405617666210218092751] [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: 09/04/2020] [Revised: 12/04/2020] [Accepted: 12/18/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Though imaging manifestations of COVID-19 and other types of viral pneumonia are similar, their clinical treatment methods differ. Accurate, non-invasive diagnostic methods using CT imaging can help developing an optimal therapeutic regimen for both conditions. OBJECTIVES To compare the initial CT imaging features in COVID-19 with those in other types of viral pneumonia. METHODS Clinical and imaging data of 51 patients with COVID-19 and 69 with other types of viral pneumonia were retrospectively studied. All significant imaging features (Youden index >0.3) were included for constituting the combined criteria for COVID-19 diagnosis, composed of two or more imaging features with a parallel model. McNemar's chi-square test or Fisher's exact test was used to compare the validity indices (sensitivity and specificity) among various criteria. RESULTS Ground glass opacities (GGO) dominated density, peripheral distribution, unilateral lung, clear margin of lesion, rounded morphology, long axis parallel to the pleura, vascular thickening, and crazy-paving pattern were more common in COVID-19 (p <0.05). Consolidation-dominated density, both central and peripheral distribution, bilateral lung, indistinct margin of lesion, tree-in-bud pattern, mediastinal or hilar lymphadenectasis, pleural effusion, and pleural thickening were more common in other types of viral pneumonia (p < 0.05). GGO-dominated density or long axis parallel to the pleura (with the highest sensitivity), and GGO-dominated density or long axis parallel to the pleura or vascular thickening (with the highest specificity) are good combined criteria of COVID-19. CONCLUSION The initial CT imaging features are helpful for differential diagnosis between COVID-19 and other types of viral pneumonia.
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Affiliation(s)
- Haixia Mao
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Xiaoshan Li
- Department of Lung Transplantation Center, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Xiaoming Lin
- Department of Radiology, Wuxi Fifth People's Hospital, Wuxi. China
| | - Lijuan Zhou
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Xiuping Zhang
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Yang Cao
- Department of Radiology, Wuxi Huishan District People' s Hospital, Wuxi. China
| | - Yilun Jiang
- Department of Radiology, Wuxi Xiishan District People' s Hospital, Wuxi. China
| | - Hongwei Chen
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Xiangming Fang
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi. China
| | - Lan Gu
- Department of Radiology, Wuxi Fifth People's Hospital, Wuxi. China
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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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Huang R, Zhu J, Zhou J, Shang Y, Lin X, Gong S, Gu L, Dai H, Li Y. Inspiratory and Expiratory Chest High-Resolution CT: Small-Airway Disease Evaluation in Patients with COVID-19. Curr Med Imaging 2021; 17:1299-1307. [PMID: 33438547 DOI: 10.2174/1573405617999210112194621] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/20/2020] [Accepted: 11/12/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND An outbreak of coronavirus disease 2019 (COVID-19) has occurred worldwide. However, the small-airway disease in patients with COVID-19 has not been explored. AIM This study aimed to explore the small-airway disease in patients with COVID-19 using inspiratory and expiratory chest high-resolution computed tomography (CT). METHODS This multicenter study included 108 patients with COVID-19. The patients were classified into five stages (0-IV) based on the CT images. The clinical and imaging data were compared among CT images in different stages. Patients were divided into three groups according to the time interval from the initial CT scan, and the clinical and air trapping data were compared among these groups. The correlation between clinical parameters and CT scores was evaluated. RESULTS The clinical data, including age, frequency of breath shortness and dyspnea, neutrophil percentage, lymphocyte count, PaO2, PaCO2, SaO2, and time interval between the onset of illness and initial CT, showed significant differences among CT images in different stages. A significant difference in the CT score of air trapping was observed between stage I and stage III. A low negative correlation was found between the CT score of air trapping and time interval between the onset of symptoms and initial CT. No significant difference was noted in the frequency and CT score of air trapping among different groups. CONCLUSIONS Some patients with COVID-19 developed small-airway disease. Air trapping was more distinguished in the early stage of the disease and persisted during the 2-month follow-up. Longer-term follow-up studies are needed to confirm the findings.
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Affiliation(s)
- Renjun Huang
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, Jiangsu province 215000,. China
| | - Jingfen Zhu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, Jiangsu province 215000,. China
| | - Jianguo Zhou
- Department of Radiology, Nanjing University of Chinese Medicine Affiliated Lianyungang Hospital, Lianyungang City, Jiangsu province 222004,. China
| | - Yalei Shang
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, Jiangsu province 215000,. China
| | - Xiaoming Lin
- Department of Radiology, The Fifth People's Hospital of Wuxi, Wuxi City, Jiangsu province 225000,. China
| | - Shengbin Gong
- Department of Radiology, the Third People's Hospital of Yangzhou, Yangzhou city, Jiangsu province 225000,. China
| | - Lan Gu
- Department of Radiology, The Fifth People's Hospital of Wuxi, Wuxi City, Jiangsu province 225000,. China
| | - Hui Dai
- Institute of Medical Imaging, Soochow University, Suzhou city, Jiangsu province 215000,. China
| | - Yonggang Li
- Institute of Medical Imaging, Soochow University, Suzhou city, Jiangsu province 215000,. 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, Yang XL, Yin HK, Lu ZH, Geng CJ. Application value analysis of magnetic resonance imaging and computed tomography in the diagnosis of intracranial infection after craniocerebral surgery. World J Clin Cases 2020. [DOI: 10.12998/wjcc.v8.i23.5891] [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: 02/06/2023] Open
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Gu L, Yang XL, Yin HK, Lu ZH, Geng CJ. Application value analysis of magnetic resonance imaging and computed tomography in the diagnosis of intracranial infection after craniocerebral surgery. World J Clin Cases 2020; 8:5894-5901. [PMID: 33344588 PMCID: PMC7723704 DOI: 10.12998/wjcc.v8.i23.5894] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/11/2020] [Accepted: 10/20/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Intracranial infection is a common clinical disease. Computed tomography (CT) and magnetic resonance imaging (MRI) have certain sensitivity and have good diagnostic efficacy.
AIM To study the application value of MRI and CT in the diagnosis of intracranial infection after craniocerebral surgery.
METHODS We selected 82 patients who underwent craniocerebral surgery (including 40 patients with intracranial infection and 42 patients without infection) during the period from April 2016 to June 2019 in our hospital. All 82 patients received CT and MRI examinations, and their clinical data were reviewed. A retrospective analysis was performed, and the coincidence rate of positive diagnosis and the overall diagnosis coincidence rate of different pathogenic infection types were measured with the two examination methods. The diagnostic sensitivity and specificity as well as the positive and negative predictive values of the two examination methods were compared.
RESULTS For all types of pathogenic infections (Staphylococcus aureus, Staphylococcus hemolyticus, Staphylococcus epidermidis, and others), MRI scans had higher positive diagnostic coincidence rates than CT scans; the overall diagnostic coincidence rate, sensitivity, specificity, positive predictive value, and negative predictive values were significantly higher with MRI examinations than with CT examinations, and the differences were statistically significant (P < 0.05).
CONCLUSION MRI examination can accurately diagnose intracranial infection after clinical craniocerebral surgery. Compared with CT, MRI had higher diagnostic efficiency. The diagnostic sensitivity and specificity, the diagnostic coincidence rate, and the positive and negative predictive values were significantly higher with MRI than with conventional CT, which can be actively promoted.
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Affiliation(s)
- Lan Gu
- Department of Radiology, Wuxi Fifth People’s Hospital, Wuxi 214000, Jiangsu Province, China
| | - Xiao-Liang Yang
- Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, Jiangsu Province, China
| | - Hui-Kang Yin
- Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, Jiangsu Province, China
| | - Ze-Hua Lu
- Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, Jiangsu Province, China
| | - Cheng-Jun Geng
- Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, Jiangsu Province, China
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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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Yu Y, Wang X, Li M, Gu L, Xie Z, Gu W, Xu F, Bao Y, Liu R, Hu S, Hu M, Hu C. Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study. BMC Med Imaging 2020; 20:111. [PMID: 33008329 PMCID: PMC7530870 DOI: 10.1186/s12880-020-00513-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/24/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND To develop and validate a nomogram for early identification of severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics. METHODS The initial clinical and CT imaging data of 217 patients with COVID-19 were analyzed retrospectively from January to March 2020. Two hundred seventeen patients with 146 mild cases and 71 severe cases were randomly divided into training and validation cohorts. Independent risk factors were selected to construct the nomogram for predicting severe COVID-19. Nomogram performance in terms of discrimination and calibration ability was evaluated using the area under the curve (AUC), calibration curve, decision curve, clinical impact curve and risk chart. RESULTS In the training cohort, the severity score of lung in the severe group (7, interquartile range [IQR]:5-9) was significantly higher than that of the mild group (4, IQR,2-5) (P < 0.001). Age, density, mosaic perfusion sign and severity score of lung were independent risk factors for severe COVID-19. The nomogram had a AUC of 0.929 (95% CI, 0.889-0.969), sensitivity of 84.0% and specificity of 86.3%, in the training cohort, and a AUC of 0.936 (95% CI, 0.867-1.000), sensitivity of 90.5% and specificity of 88.6% in the validation cohort. The calibration curve, decision curve, clinical impact curve and risk chart showed that nomogram had high accuracy and superior net benefit in predicting severe COVID-19. CONCLUSION The nomogram incorporating initial clinical and CT characteristics may help to identify the severe patients with COVID-19 in the early stage.
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Affiliation(s)
- Yixing Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, No.188, Shi Zi Street, Suzhou, 215006 Jiangsu China
| | - Ximing Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, No.188, Shi Zi Street, Suzhou, 215006 Jiangsu China
| | - Min Li
- Department of Radiology, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, 215000 China
| | - Lan Gu
- Department of Radiology, The Fifth People’s Hospital of Wuxi, Wuxi, 100191 China
| | - Zongyu Xie
- Department of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004 China
| | - Wenhao Gu
- Department of Radiology, The First People’s Hospital of Taicang, Suzhou, 215400 China
| | - Feng Xu
- Department of Radiology, The First People’s Hospital of Suqian, Suqian, 223800 China
| | - Yaxing Bao
- Department of Radiology, The Fifth People’s Hospital of Wuxi, Wuxi, 100191 China
| | - Rongrong Liu
- Department of Radiology, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, 215000 China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, No.188, Shi Zi Street, Suzhou, 215006 Jiangsu China
| | - Mengjie Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, No.188, Shi Zi Street, Suzhou, 215006 Jiangsu China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, No.188, Shi Zi Street, Suzhou, 215006 Jiangsu China
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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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Kan T, Gu L, Lu H, Cao J, Zhu Z, Wu D, Zhu Z, Chen X. Improved Transcatheter aortic valve implantation for aortic regurgitation using a new-type stent: the first preclinical experience. J Cardiothorac Surg 2020; 15:276. [PMID: 32993717 PMCID: PMC7525934 DOI: 10.1186/s13019-020-01327-4] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In this study, we sought to evaluate the feasibility of improved transcatheter aortic valve implantation (TAVI) in noncalcified aortic valve by using the novel concept of double-layer ChenValve prosthesis. TAVI was initially considered as an alternative treatment for high-risk patients with aortic stenosis. However, non noncalcified aortic valve disease was considered as a contraindication to TAVI. METHODS ChenValve prosthesis, which consisted of a self-expanding Nitinol ring, a balloon-expandable cobalt-chromium alloy stent and a biological valve, was implanted at the desired position under fluoroscopic guidance in a transapical approach through a 20F sheath in 10 goats. Aortic angiography was performed to measure the diameter of the aotic annulus and assess the performance of the artificial valve. The ultrasound was used to evaluate the regurgitation or paravalvular leakage and trans-prosthetic vascular flow velocity postoperatively. The aortogram and transthoracic echocardiography were applied to observe whether the valve stent was implanted at the desired position. RESULTS ChenValve prosthesis was successfully transppical implanted in all animals. The aortogram and transthoracic echocardiography performed immediately after implantation revealed that the valve stent was implanted at the desired position. There was no significant paravalvular leakage, obstruction of coronary artery ostia, stent malpositioning or dislodgement occurred. CONCLUSIONS This preliminary trial with the novel double-layer ChenValve prosthesis demonstrated the feasibility of improved TAVI in noncalcified aortic valve. The mechanism of Nitinol ring-guided locating the aortic sinus enables us to anatomically correct position the artifact valve. This improved strategy seems to make the TAVI process more safe and repeatable in noncalcified aortic valve.
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Affiliation(s)
- Tong Kan
- Department of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Lan Gu
- Department of Cardiology, ShangRao Hospital of Traditional Chinese Medicine, Shangrao, 334000, Jiangxi, China
| | - Hongjiang Lu
- Department of medical image, The 903 Hospital of the Chinese People's Liberation Army, Hangzhou, 310004, Zhejiang, China
| | - Junxiong Cao
- Department of Cardiology, The 903 Hospital of the Chinese People's Liberation Army, No. 40 JiChang Road, Jianggang District, Hangzhou, 310004, Zhejiang Province, China
| | - Zhijun Zhu
- Department of Cardiology, The 903 Hospital of the Chinese People's Liberation Army, No. 40 JiChang Road, Jianggang District, Hangzhou, 310004, Zhejiang Province, China
| | - Danning Wu
- Department of Cardiology, The 903 Hospital of the Chinese People's Liberation Army, No. 40 JiChang Road, Jianggang District, Hangzhou, 310004, Zhejiang Province, China
| | - Zhidong Zhu
- Department of Cardiology, The 903 Hospital of the Chinese People's Liberation Army, No. 40 JiChang Road, Jianggang District, Hangzhou, 310004, Zhejiang Province, China
| | - Xiang Chen
- Department of Cardiology, The 903 Hospital of the Chinese People's Liberation Army, No. 40 JiChang Road, Jianggang District, Hangzhou, 310004, Zhejiang Province, China.
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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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Zhang Y, Han F, Gu L, Ji P, Yang X, Liu M, Tao K, Hu D. Adipose mesenchymal stem cell exosomes promote wound healing through accelerated keratinocyte migration and proliferation by activating the AKT/HIF-1α axis. J Mol Histol 2020; 51:375-383. [PMID: 32556903 DOI: 10.1007/s10735-020-09887-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [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: 02/03/2020] [Accepted: 06/13/2020] [Indexed: 12/16/2022]
Abstract
Accelerating wound healing is a key consideration for surgeons. The three stages of wound healing include the inflammatory response, cell proliferation and tissue repair, and much research has focused on the migration and proliferation of epidermal cells, since this is one of the most important steps in wound healing. Studies have shown that adipose mesenchymal stem cells (ADSCs) can promote wound healing by releasing exosomes, although the specific mechanism remains unclear. To clarify the role of adipose mesenchymal stem cell exosomes (ADSCs-exo), we constructed a HaCaT cells model and a mouse wound healing model to examine the effects of ADSCs-exo on wound healing. CCK8 assays and the scratch test showed that ADSCs-exo could promote the proliferation and migration of HaCaT cells. Western blotting and real-time PCR showed that ADSCs-exo upregulated the phosphorylation of AKT and the expression of HIF-1α in HaCaT cells. HIF-1α expression was reduced by inhibiting AKT phosphorylation,and the migration of HaCaT cells simultaneously slowed. These results were also confirmed in vivo. In conclusion, we confirmed that ADSCs-exo promote the proliferation and migration of HaCaT cells by regulating the activation of the AKT/HIF-1α signaling pathway, thus promoting wound healing.
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Affiliation(s)
- Yue Zhang
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Fei Han
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Lan Gu
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Peng Ji
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Xuekang Yang
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Mengdong Liu
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China
| | - Ke Tao
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 710032, China.
| | - Dahai Hu
- Department of Burns and Cutaneous Surgery, Xijing Hospital, The Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi, 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, 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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LIN Q, Li S, Jiang N, Shao X, Zhang M, Jin H, Zhang Z, Shen J, Zhou J, Zhou W, Gu L, Lu R, Ni Z. SAT-023 PINK1-PARKIN PATHWAY OF MITOPHAGY PROTECTS AGAINST CONTRAST-INDUCED ACUTE KIDNEY INJURY VIA DECREASING MITOCHONDRIAL ROS AND NLRP3 INFLAMMASOME ACTIVATION. Kidney Int Rep 2020. [DOI: 10.1016/j.ekir.2020.02.027] [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: 11/16/2022] Open
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Abstract
The present study aimed to assess the effect of removing an indwelling urinary catheter at different times on urinary retention and urinary infection in patients undergoing gynecologic surgery.Electronic databases including PubMed, EMbase, the Cochrane Central Register of Controlled Trials, and Ovid from inception to June 2018 were searched. Relevant randomized controlled trials (RCTs) of removal the indwelling urinary catheter in different time were included.Eight RCTs were included. Data were analyzed by RevMan 5.3 version. There was significant difference in urinary retention (relative risk [RR] 2.46, 95% confidence intervals [CIs] 1.10-5.53), P = .03) between the ≤6 hours and >6 hours indwelling urinary catheter removal groups, while no significant differences were found in the gynecologic surgery excluded the vaginal surgery group and vaginal surgery group. When compared with >6 hours indwelling urinary catheter removal group, the incidence of urinary infection was significantly reduced at the ≤6 hours removal group (RR = 0.66, 95% CI 0.48-0.89, P = .007). The urinary catheter removal time at ≤6 hours also significantly reduced the incidence of urinary retention (RR = 5.06, 95%CI 1.74-14.69, P = .003), and did not statistically increase the incidence of urinary infection (RR = 0.30, 95%CI 0.08 to 1.20, P = .09), compared with immediate urinary catheter removal after surgery.Removal time of the urinary catheter at ≤6 hours postoperatively seems to be more beneficial than immediate or >6 hours for patients undergoing gynecologic surgery which excluded the vaginal surgery.
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Affiliation(s)
- Hui Huang
- Department of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou
| | - Li Dong
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou
| | - Lan Gu
- Department of Senior Cadres Ward, The First Affiliated Hospital of Soochow University, Suzhou, China
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Zhu X, Ju X, Cao Y, Shen Y, Zhao X, Cao F, Qing S, Gu L, Fang F, Jia Z, Zhang H. OC-048: Patterns of local failure and outcomes of patients with BED10 of 60-70Gy and BED10 over 70Gy. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(20)30437-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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46
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Zhu X, Ju X, Cao Y, Zhao X, Shen Y, Cao F, Qing S, Gu L, Fang F, Jia Z, Zhang H. PO-152: Association of responses to the analgesic agent with outcomes in patients with pancreatic cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(20)30494-1] [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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Gu L, Wang Y, Deng J, Chen X, Zhou J, Yang X. Genomic analysis of hepatobiliary lithiasis associated cholangiocarcinoma revealed a distinct subtype feature. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz247.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Ready N, Tong B, Clarke J, Gu L, Wigle D, Dragnev K, Sporn T, Stinchcombe T, D’Amico T. P2.04-89 Neoadjuvant Pembrolizumab in Early Stage Non-Small Cell Lung Cancer (NSCLC): Toxicity, Efficacy, and Surgical Outcomes. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1594] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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49
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Abratenko P, Adams C, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Auger M, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bhat A, Bhattacharya K, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Carr R, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Collin GH, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diaz A, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Evans JJ, Fitzpatrick RS, Fleming BT, Franco D, Furmanski AP, Garcia-Gamez D, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Greenlee H, Grosso R, Gu L, Gu W, Guenette R, Guzowski P, Hackenburg A, Hamilton P, Hen O, Hill C, Horton-Smith GA, Hourlier A, Huang EC, James C, Jan de Vries J, Ji X, Jiang L, Johnson RA, Joshi J, Jostlein H, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li Y, Lister A, Littlejohn BR, Lockwitz S, Lorca D, Louis WC, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, Meddage V, Mettler T, Mills J, Mistry K, Mogan A, Moon J, Mooney M, Moore CD, Mousseau J, Murphy M, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf JL, Rafique A, Ren L, Rochester L, Rogers HE, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz DW, Schukraft A, Seligman W, 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, Thomson M, Thornton RT, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Wickremasinghe DA, Wierman K, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{ν}∼0.8 GeV with the MicroBooNE Detector. Phys Rev Lett 2019; 123:131801. [PMID: 31697542 DOI: 10.1103/physrevlett.123.131801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 08/06/2019] [Indexed: 06/10/2023]
Abstract
We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to 1.6×10^{20} protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low Q^{2}. The total flux integrated cross section is measured to be 0.693±0.010(stat)±0.165(syst)×10^{-38} cm^{2}.
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Affiliation(s)
- P Abratenko
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - C Adams
- Harvard University, Cambridge, Massachusetts 02138, 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
| | - M Auger
- Universität Bern, Bern CH-3012, Switzerland
| | - S Balasubramanian
- Wright Laboratory, Department of Physics, 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
| | - M Bass
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - F Bay
- TUBITAK Space Technologies Research Institute, METU Campus, TR-06800, Ankara, Turkey
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - K Bhattacharya
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, 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
| | - R Carr
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, 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
| | - G H Collin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - 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
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - M Del Tutto
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - D Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - A Diaz
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - L Domine
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, 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 Esquivel
- Syracuse University, Syracuse, New York 13244, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Garcia-Gamez
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Genty
- Columbia University, New York, New York 10027, USA
| | - D Goeldi
- Universität Bern, Bern CH-3012, Switzerland
| | - S Gollapinni
- 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
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - R Grosso
- University of Cincinnati, Cincinnati, Ohio 45221, 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
| | - A Hackenburg
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - P Hamilton
- Syracuse University, Syracuse, New York 13244, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hill
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - 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
| | - 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
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - J Joshi
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - H Jostlein
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, 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
| | - I Lepetic
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Lister
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - S Lockwitz
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - D Lorca
- Universität Bern, Bern CH-3012, Switzerland
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - M Luethi
- Universität Bern, Bern CH-3012, Switzerland
| | - B Lundberg
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Luo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, 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
| | - J Marshall
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - J Martin-Albo
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D A Martinez Caicedo
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- University of Chicago, Chicago, Illinois 60637, USA
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - 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
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - 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
| | - R Murrells
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, 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 Pandey
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, 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
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - D Porzio
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G Pulliam
- Syracuse University, Syracuse, New York 13244, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - H E Rogers
- Colorado State University, Fort Collins, Colorado 80523, USA
| | | | | | - B Russell
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, 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
- 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
| | - M Thomson
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - R T Thornton
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - 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
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - 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
| | | | - K Wierman
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, 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
| | - K Woodruff
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, 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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Meng R, Gu L, Lu Y, Zhao K, Wu J, Wang H, Han J, Tang Y, Lu B. Correction: High mobility group box 1 enables bacterial lipids to trigger receptor-interacting protein kinase 3 (RIPK3)-mediated necroptosis and apoptosis in mice. J Biol Chem 2019; 294:12261. [PMID: 31399536 DOI: 10.1074/jbc.aac119.010124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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