1
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Rosenberg E, Andersen TI, Samajdar R, Petukhov A, Hoke JC, Abanin D, Bengtsson A, Drozdov IK, Erickson C, Klimov PV, Mi X, Morvan A, Neeley M, Neill C, Acharya R, Allen R, Anderson K, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bilmes A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Campero J, Chang HS, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Barba ADT, Demura S, Di Paolo A, Dunsworth A, Earle C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Garcia G, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hill G, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Mandrà S, Martin O, Martin S, McClean JR, McEwen M, Meeks S, Miao KC, Mieszala A, Montazeri S, Movassagh R, Mruczkiewicz W, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Omonije S, Opremcak A, Potter R, Pryadko LP, Quintana C, Rhodes DM, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Sivak V, Skruzny J, Smith WC, Somma RD, Sterling G, Strain D, Szalay M, Thor D, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Khemani V, Gopalakrishnan S, Prosen T, Roushan P. Dynamics of magnetization at infinite temperature in a Heisenberg spin chain. Science 2024; 384:48-53. [PMID: 38574139 DOI: 10.1126/science.adi7877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024]
Abstract
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the one-dimensional Heisenberg model were conjectured as to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we studied the probability distribution of the magnetization transferred across the chain's center, [Formula: see text]. The first two moments of [Formula: see text] show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments ruled out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide insights into universal behavior in quantum systems.
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Affiliation(s)
- E Rosenberg
- Google Research, Mountain View, CA, USA
- Department of Physics, Cornell University, Ithaca, NY, USA
| | | | - R Samajdar
- Department of Physics, Princeton University, Princeton, NJ, USA
- Princeton Center for Theoretical Science, Princeton University, Princeton, NJ, USA
| | | | - J C Hoke
- Department of Physics, Stanford University, Stanford, CA, USA
| | - D Abanin
- Google Research, Mountain View, CA, USA
| | | | - I K Drozdov
- Google Research, Mountain View, CA, USA
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | | | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - A Morvan
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - R Allen
- Google Research, Mountain View, CA, USA
| | | | - M Ansmann
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - A Bilmes
- Google Research, Mountain View, CA, USA
| | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - J Campero
- Google Research, Mountain View, CA, USA
| | - H-S Chang
- Google Research, Mountain View, CA, USA
| | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - D Chik
- Google Research, Mountain View, CA, USA
| | - J Cogan
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | | | - C Earle
- Google Research, Mountain View, CA, USA
| | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - G Garcia
- Google Research, Mountain View, CA, USA
| | - É Genois
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | - R Gosula
- Google Research, Mountain View, CA, USA
| | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | - M C Hamilton
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - M Hansen
- Google Research, Mountain View, CA, USA
| | | | | | - P Heu
- Google Research, Mountain View, CA, USA
| | - G Hill
- Google Research, Mountain View, CA, USA
| | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Research, Mountain View, CA, USA
| | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- QSI, Faculty of Engineering & Information Technology, University of Technology Sydney, Ultimo, NSW, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Kitaev
- Google Research, Mountain View, CA, USA
| | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - S Mandrà
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | - S Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
| | - S Meeks
- Google Research, Mountain View, CA, USA
| | - K C Miao
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - J H Ng
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - S Omonije
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | - L P Pryadko
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | | | | | - C Rocque
- Google Research, Mountain View, CA, USA
| | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - N Shutty
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - V Sivak
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | | | - R D Somma
- Google Research, Mountain View, CA, USA
| | | | - D Strain
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - D Thor
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - B W K Woo
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | | | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - G Young
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - N Zobrist
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - V Khemani
- Department of Physics, Stanford University, Stanford, CA, USA
| | | | - T Prosen
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
| | - P Roushan
- Google Research, Mountain View, CA, USA
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2
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Mi X, Michailidis AA, Shabani S, Miao KC, Klimov PV, Lloyd J, Rosenberg E, Acharya R, Aleiner I, Andersen TI, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Chou C, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Dau AG, Debroy DM, Del Toro Barba A, Demura S, Di Paolo A, Drozdov IK, Dunsworth A, Erickson C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Kechedzhi K, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Malone FD, Martin O, McClean JR, McEwen M, Mieszala A, Montazeri S, Morvan A, Movassagh R, Mruczkiewicz W, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Opremcak A, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Roushan P, Smelyanskiy V, Abanin DA. Stable quantum-correlated many-body states through engineered dissipation. Science 2024; 383:1332-1337. [PMID: 38513021 DOI: 10.1126/science.adh9932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 02/13/2024] [Indexed: 03/23/2024]
Abstract
Engineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature superconductivity or quantum magnetism. Using up to 49 superconducting qubits, we prepared low-energy states of the transverse-field Ising model through coupling to dissipative auxiliary qubits. In one dimension, we observed long-range quantum correlations and a ground-state fidelity of 0.86 for 18 qubits at the critical point. In two dimensions, we found mutual information that extends beyond nearest neighbors. Lastly, by coupling the system to auxiliaries emulating reservoirs with different chemical potentials, we explored transport in the quantum Heisenberg model. Our results establish engineered dissipation as a scalable alternative to unitary evolution for preparing entangled many-body states on noisy quantum processors.
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Affiliation(s)
- X Mi
- Google Research, Mountain View, CA, USA
| | - A A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - S Shabani
- Google Research, Mountain View, CA, USA
| | - K C Miao
- Google Research, Mountain View, CA, USA
| | | | - J Lloyd
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | | | - R Acharya
- Google Research, Mountain View, CA, USA
| | - I Aleiner
- Google Research, Mountain View, CA, USA
| | | | - M Ansmann
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - D Chik
- Google Research, Mountain View, CA, USA
| | - C Chou
- Google Research, Mountain View, CA, USA
| | - J Cogan
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | - A G Dau
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - É Genois
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | - R Gosula
- Google Research, Mountain View, CA, USA
| | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | - M C Hamilton
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - M Hansen
- Google Research, Mountain View, CA, USA
| | | | | | - P Heu
- Google Research, Mountain View, CA, USA
| | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Research, Mountain View, CA, USA
| | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | | | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Software and Information (QSI), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Kitaev
- Google Research, Mountain View, CA, USA
| | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | | | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
| | | | | | - A Morvan
- Google Research, Mountain View, CA, USA
| | | | | | - M Neeley
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - J H Ng
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | | | | | - R Potter
- Google Research, Mountain View, CA, USA
| | - L P Pryadko
- Google Research, Mountain View, CA, USA
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | | | - C Rocque
- Google Research, Mountain View, CA, USA
| | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - N Shutty
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - R Somma
- Google Research, Mountain View, CA, USA
| | | | - D Strain
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - B W K Woo
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z J Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - G Young
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - N Zobrist
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | - P Roushan
- Google Research, Mountain View, CA, USA
| | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
- Department of Physics, Princeton University, Princeton, NJ, USA
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3
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Correira JW, Kamstra R, Zhu N, Doll MK. School Vaccine Coverage and Medical Exemption Uptake After the New York State Repeal of Nonmedical Vaccination Exemptions. JAMA Netw Open 2024; 7:e2354710. [PMID: 38306096 PMCID: PMC10837748 DOI: 10.1001/jamanetworkopen.2023.54710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/12/2023] [Indexed: 02/03/2024] Open
Abstract
Importance Although New York State (NYS) recently adopted legislation eliminating nonmedical vaccination exemption options from school-entry requirements, the implications of the law for school vaccine coverage and medical vaccine exemption uptake have not been examined. Objective To evaluate the implications of the repeal of school-entry nonmedical vaccination exemptions for vaccine coverage and medical exemption uptake at NYS schools outside of New York City (NYC). Design, Setting, and Participants This cohort study had an interrupted time-series design and used generalized estimating equation models to examine longitudinal school immunization compliance data from the 2012 to 2013 through 2021 to 2022 school years. The cohort comprised NYS public and nonpublic schools, excluding NYC schools, with any students enrolled in kindergarten to 12th grade. Eligible schools had enrollment and immunization data before and after the implementation of the Senate Bill 2994A legislation. Data analyses were conducted in July 2023. Exposure Senate Bill 2994A was passed in June 2019, eliminating school-entry nonmedical vaccination exemptions. Since compliance with the law was evaluated for most students during the next school year, the 2019 to 2020 school year was considered to be the law's effective date. Main Outcomes and Measures The primary outcomes were school vaccine coverage (defined as the percentage of students at each school who completed grade-appropriate requirements for all required vaccines) and medical exemption uptake (defined as the percentage of students at each school who received a medical exemption). Results Among the 3821 eligible schools, 3632 (95.1%) were included in the analysis, representing 2794 (96.9% of eligible) public schools and 838 (89.2% of eligible) nonpublic schools. The implementation of Senate Bill 2994A was associated with absolute increases in mean vaccine coverage of 5.5% (95% CI, 4.5%-6.6%) among nonpublic schools and 0.9% (95% CI, 0.7%-1.1%) among public schools, with additional annual increases in vaccine coverage observed through the 2021 to 2022 school year. The law's implementation was also associated with a 0.1% (95% CI, 0.0%-0.1%) mean absolute decrease in medical vaccination exemption uptake at both public and nonpublic schools, and small but significant mean annual decreases in medical vaccination exemptions (0.02%; 95% CI, 0.01%-0.03%) through the end of the study period. Conclusions and Relevance Results of this cohort study suggested that repeal of school-entry nonmedical vaccination exemptions was associated with increased vaccine coverage at NYS schools outside of NYC. Coverage gains were not replaced by increases in medical vaccination exemptions.
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Affiliation(s)
- John W. Correira
- Department of Allied Health Sciences, Albany College of Pharmacy and Health Sciences, Albany, New York
| | | | - Nanqing Zhu
- Precision Analytics, Montreal, Quebec, Canada
| | - Margaret K. Doll
- Department of Allied Health Sciences, Albany College of Pharmacy and Health Sciences, Albany, New York
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4
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Liu J, Chang Y, Zhu N, Zhang Y. Dynamic navigation-assisted bone ring technique for partially edentulous patients with severe vertical ridge defects. Int J Oral Maxillofac Surg 2024:S0901-5027(24)00009-2. [PMID: 38278686 DOI: 10.1016/j.ijom.2024.01.007] [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: 04/10/2023] [Revised: 12/19/2023] [Accepted: 01/11/2024] [Indexed: 01/28/2024]
Abstract
The autogenous bone ring technique is among the approaches for vertical alveolar ridge augmentation, and this technique can enable simultaneous implantation. However, the outcomes can be compromised due to donor site morbidity, shifting of the bone ring graft positioning, and inaccurate implant placement. In recent decades, dynamic navigation systems have been introduced into the field of implantology, allowing the accuracy of outcomes to be improved. This Technical Note describes the use of dynamic navigation to guide bone ring surgery, which is expected to enable more precise and predictable bone augmentation and implantation procedures, reduce the risk of injuries to the adjacent anatomical structures, and achieve better treatment outcomes.
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Affiliation(s)
- J Liu
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - Y Chang
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - N Zhu
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - Y Zhang
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China.
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Almutawa D, Lagos-Villaseca A, Albathi M, Martignetti L, Masuda M, Zhu N, Li-Jessen NYK, Kost KM. Geriatric Voice: Distinctive Clinical Profiles of Working Seniors in a Tertiary Laryngology Clinic. J Voice 2024:S0892-1997(23)00410-1. [PMID: 38216385 DOI: 10.1016/j.jvoice.2023.12.018] [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: 07/29/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVES Voice disorders have been reported in up to 47% of the geriatric population. Few studies have assessed dysphonia in the elderly, with none examining vocal function in working seniors. This study aims to profile the clinical characteristics of individuals aged 65 years and older, comparing working and non-working seniors. STUDY DESIGN Retrospective cohort study. METHODS Medical charts were reviewed for patients aged 65 years and older referred to the McGill University Health Centre Laryngology Clinic (January 2018-March 2020). Variables studied included sociodemographics, comorbidities, voice complaints, lifestyle factors, diagnoses, voice acoustics [maximum phonation time (MPT), S/Z ratio, F0], GRBAS scale, Voice Handicap Index-10 (VHI-10), Reflux Symptom Index (RSI), and treatment modalities. RESULTS A total of 267 patients were included, with a mean [standard deviation (SD)] age of 74.2 (6.6) years and 61% of female patients. Occupation information was available in 148 cases, of which 31.1% were still working and 12.8% were professional voice users. The predominant voice complaint was dysphonia/hoarseness (48.8%) and the most prevalent diagnosis was presbyphonia (31.8%). The mean (SD) VHI-10 and RSI scores were 19.8 (9.0) and 18.7 (9.4) points, respectively. Voice therapy was prescribed for 155 patients (58.7%): 124 attended at least one session with significant post-treatment improvements in the GRBAS and VHI-10 scores (P < 0.01). In the univariate analysis, working seniors had a significantly more prevalent singing habit (P = 0.04) and laryngopharyngeal reflux diagnosis (P = 0.01), displaying a significantly longer MPT (P < 0.001) and lower G-B-S scores (P < 0.05). After adjusting mean differences, only MPT and the G-S scores were significantly different between both groups. CONCLUSIONS The predominant diagnosis in elders with voice complaints was presbyphonia. Voice therapy proved effective in improving the VHI-10 and GRBAS scores for geriatric patients. Almost one-third of seniors remained in the workforce, demonstrating superior vocal profiles, specifically in the MPT and the grade and strain of perceptual voice quality.
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Affiliation(s)
- Deema Almutawa
- Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada; Department of Otolaryngology - Head and Neck Surgery, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Antonia Lagos-Villaseca
- Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada; Department of Otolaryngology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Monirah Albathi
- Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
| | - Lisa Martignetti
- School of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
| | - Maia Masuda
- School of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
| | - Nanqing Zhu
- Precision Analytics, Montréal, Quebec, Canada
| | - Nicole Y K Li-Jessen
- Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada; School of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada; The Centre for Research on Brain, Language and Music, McGill University, Montréal, Quebec, Canada; Department of Biomedical Engineering, McGill University, Montréal, Quebec, Canada; Research Institute of McGill University Health Center, Montréal, Quebec, Canada
| | - Karen M Kost
- Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada.
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Wang X, Zhu N, Zeng W, Wang P. Hemoglobin variability in patients receiving EPO and roxadustat during maintenance hemodialysis: a self-control study. Eur Rev Med Pharmacol Sci 2024; 28:303-309. [PMID: 38235900 DOI: 10.26355/eurrev_202401_34917] [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: 01/19/2024]
Abstract
OBJECTIVE The aim of this study was to investigate the hemoglobin variability in patients undergoing maintenance hemodialysis during the application of erythropoietin (EPO) and roxadustat. PATIENTS AND METHODS For this retrospective study, we analyzed the clinical records of 80 patients with renal anemia on maintenance hemodialysis (MHD) admitted to our hospital between January 2017 and December 2022. We adopted a self-control design comparing the hemoglobin variability of the values before and after roxadustat administration in each patient. The patients received EPO from January 2017 to December 2019 and roxadustat from January 2020 to December 2022. We compared the levels of serum ferritin, transferrin saturation, and hemoglobin and calculated the hemoglobin variabilities by comparing values before and after roxadustat treatments. RESULTS We found higher transferrin saturation levels at different time points after the roxadustat treatments (p<0.01); meanwhile, the serum ferritin and hemoglobin levels were significantly higher after the roxadustat treatment (p<0.001). During the treatments with EPO and roxadustat, the transferrin saturation, serum ferritin, and hemoglobin levels differed significantly at different time points for each patient (p<0.05). After roxadustat administration, the hemoglobin levels were significantly higher than after EPO administration (p<0.001) and changed more rapidly after roxadustat administration than after EPO administration (p<0.05). The hemoglobin variability after roxadustat administration was significantly lower than that after EPO administration (p<0.05). CONCLUSIONS Treatment with roxadustat led to higher hemoglobin levels and less hemoglobin variability than the treatment with EPO, with high transferrin saturation and higher ferritin levels in patients with renal anemia on MHD.
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Affiliation(s)
- X Wang
- Department of Blood Purification Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
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Hoke JC, Ippoliti M, Rosenberg E, Abanin D, Acharya R, Andersen TI, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Dau AG, Debroy DM, Del Toro Barba A, Demura S, Di Paolo A, Drozdov IK, Dunsworth A, Eppens D, Erickson C, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Kechedzhi K, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Miao KC, Mieszala A, Montazeri S, Morvan A, Movassagh R, Mruczkiewicz W, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O’Brien TE, Omonije S, Opremcak A, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Mi X, Khemani V, Roushan P. Measurement-induced entanglement and teleportation on a noisy quantum processor. Nature 2023; 622:481-486. [PMID: 37853150 PMCID: PMC10584681 DOI: 10.1038/s41586-023-06505-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/01/2023] [Indexed: 10/20/2023]
Abstract
Measurement has a special role in quantum theory1: by collapsing the wavefunction, it can enable phenomena such as teleportation2 and thereby alter the 'arrow of time' that constrains unitary evolution. When integrated in many-body dynamics, measurements can lead to emergent patterns of quantum information in space-time3-10 that go beyond the established paradigms for characterizing phases, either in or out of equilibrium11-13. For present-day noisy intermediate-scale quantum (NISQ) processors14, the experimental realization of such physics can be problematic because of hardware limitations and the stochastic nature of quantum measurement. Here we address these experimental challenges and study measurement-induced quantum information phases on up to 70 superconducting qubits. By leveraging the interchangeability of space and time, we use a duality mapping9,15-17 to avoid mid-circuit measurement and access different manifestations of the underlying phases, from entanglement scaling3,4 to measurement-induced teleportation18. We obtain finite-sized signatures of a phase transition with a decoding protocol that correlates the experimental measurement with classical simulation data. The phases display remarkably different sensitivity to noise, and we use this disparity to turn an inherent hardware limitation into a useful diagnostic. Our work demonstrates an approach to realizing measurement-induced physics at scales that are at the limits of current NISQ processors.
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8
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Andersen TI, Lensky YD, Kechedzhi K, Drozdov IK, Bengtsson A, Hong S, Morvan A, Mi X, Opremcak A, Acharya R, Allen R, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Babbush R, Bacon D, Bardin JC, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Chou C, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hilton J, Hoffmann MR, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Lucero E, Malone FD, Martin O, McClean JR, McCourt T, McEwen M, Miao KC, Mieszala A, Mohseni M, Montazeri S, Mount E, Movassagh R, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O’Brien TE, Omonije S, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Kim EA, Aleiner I, Roushan P. Non-Abelian braiding of graph vertices in a superconducting processor. Nature 2023; 618:264-269. [PMID: 37169834 DOI: 10.1038/s41586-023-05954-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 03/14/2023] [Indexed: 06/09/2023]
Abstract
Indistinguishability of particles is a fundamental principle of quantum mechanics1. For all elementary and quasiparticles observed to date-including fermions, bosons and Abelian anyons-this principle guarantees that the braiding of identical particles leaves the system unchanged2,3. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions4-8. Hence, it can change the observables of the system without violating the principle of indistinguishability. Despite the well-developed mathematical description of non-Abelian anyons and numerous theoretical proposals9-22, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena. Whereas efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasiparticles, superconducting quantum processors allow for directly manipulating the many-body wavefunction by means of unitary gates. Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons9,10, we implement a generalized stabilizer code and unitary protocol23 to create and braid them. This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of using the anyons for quantum computation and use braiding to create an entangled state of anyons encoding three logical qubits. Our work provides new insights about non-Abelian braiding and, through the future inclusion of error correction to achieve topological protection, could open a path towards fault-tolerant quantum computing.
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9
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Otter JA, Zhou J, Price JR, Reeves L, Zhu N, Randell P, Sriskandan S, Barclay WS, Holmes AH. SARS-CoV-2 surface and air contamination in an acute healthcare setting during the first and second pandemic waves. J Hosp Infect 2023; 132:36-45. [PMID: 36435307 PMCID: PMC9683853 DOI: 10.1016/j.jhin.2022.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/10/2022] [Accepted: 11/13/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Surfaces and air in healthcare facilities can be contaminated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Previously, the authors identified SARS-CoV-2 RNA on surfaces and air in their hospital during the first wave of the coronavirus disease 2019 pandemic (April 2020). AIM To explore whether the profile of SARS-CoV-2 surface and air contamination had changed between April 2020 and January 2021. METHODS This was a prospective, cross-sectional, observational study in a multi-site London hospital. In January 2021, surface and air samples were collected from comparable areas to those sampled in April 2020, comprising six clinical areas and a public area. SARS-CoV-2 was detected using reverse transcription polymerase chain reaction and viral culture. Sampling was also undertaken in two wards with natural ventilation alone. The ability of the prevalent variants at the time of the study to survive on dry surfaces was evaluated. FINDINGS No viable virus was recovered from surfaces or air. Five percent (N=14) of 270 surface samples and 4% (N=1) of 27 air samples were positive for SARS-CoV-2, which was significantly lower than in April 2020 [52% (N=114) of 218 surface samples and 48% (N=13) of 27 air samples (P<0.001, Fisher's exact test)]. There was no clear difference in the proportion of surface and air samples positive for SARS-CoV-2 RNA based on the type of ventilation in the ward. All variants tested survived on dry surfaces for >72 h, with a <3-log10 reduction in viable count. CONCLUSION This study suggests that enhanced infection prevention measures have reduced the burden of SARS-CoV-2 RNA on surfaces and air in healthcare facilities.
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Affiliation(s)
- J A Otter
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK; Guy's and St. Thomas' NHS Foundation Trust, London, UK.
| | - J Zhou
- Department of Infectious Disease, Imperial College London, London, UK
| | - J R Price
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK; Imperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK
| | - L Reeves
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK
| | - N Zhu
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK
| | - P Randell
- Imperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK
| | - S Sriskandan
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK; Imperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK
| | - W S Barclay
- Department of Infectious Disease, Imperial College London, London, UK
| | - A H Holmes
- National Institute for Healthcare Research Health Protection Research Unit in Healthcare-associated Infection and Antimicrobial Resistance, Imperial College London & Public Health England, Hammersmith Hospital, London, UK; Imperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK
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Zhao YK, Xie K, Bao LW, Chen YF, Luo XP, Shi HM, Zhu N, Yang MJ, Cheng X, Wang HY, Li J. [Recurrent syncope of unknown origin after ICD implantation: a case report]. Zhonghua Nei Ke Za Zhi 2022; 61:1366-1369. [PMID: 36456520 DOI: 10.3760/cma.j.cn112138-20211208-00872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- Y K Zhao
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - K Xie
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - L W Bao
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Y F Chen
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - X P Luo
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - H M Shi
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - N Zhu
- Department of Respiratory, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - M J Yang
- Department of Emergency, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - X Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - H Y Wang
- Department of Medical Department, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - J Li
- Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China
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Morvan A, Andersen TI, Mi X, Neill C, Petukhov A, Kechedzhi K, Abanin DA, Michailidis A, Acharya R, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores Burgos L, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Grajales Dau A, Gross JA, Habegger S, Hamilton MC, Harrigan MP, Harrington SD, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Malone F, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Nersisyan A, Newman M, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Olenewa R, Opremcak A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shvarts V, Skruzny J, Smith WC, Strain D, Sterling G, Su Y, Szalay M, Torres A, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Xing C, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Aleiner I, Ioffe LB, Roushan P. Formation of robust bound states of interacting microwave photons. Nature 2022; 612:240-245. [PMID: 36477133 PMCID: PMC9729104 DOI: 10.1038/s41586-022-05348-y] [Citation(s) in RCA: 1] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/14/2022] [Indexed: 12/12/2022]
Abstract
Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
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Affiliation(s)
- A Morvan
- Google Research, Mountain View, CA, USA
| | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J Basso
- Google Research, Mountain View, CA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | - D Eppens
- Google Research, Mountain View, CA, USA
| | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Y Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - F Malone
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | - K C Miao
- Google Research, Mountain View, CA, USA
| | - M Mohseni
- Google Research, Mountain View, CA, USA
| | | | - E Mount
- Google Research, Mountain View, CA, USA
| | | | - O Naaman
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - R Olenewa
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | | | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - D Strain
- Google Research, Mountain View, CA, USA
| | | | - Y Su
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - I Aleiner
- Google Research, Mountain View, CA, USA.
| | - L B Ioffe
- Google Research, Mountain View, CA, USA.
| | - P Roushan
- Google Research, Mountain View, CA, USA.
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12
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Mi X, Sonner M, Niu MY, Lee KW, Foxen B, Acharya R, Aleiner I, Andersen TI, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Brill L, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Debroy DM, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores L, Forati E, Fowler AG, Giang W, Gidney C, Gilboa D, Giustina M, Dau AG, Gross JA, Habegger S, Harrigan MP, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Kafri D, Kechedzhi K, Khattar T, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Lee J, Laws L, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Morvan A, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Newman M, O’Brien TE, Opremcak A, Petukhov A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schuster C, Shearn MJ, Shvarts V, Strain D, Su Y, Szalay M, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Abanin DA, Roushan P. Noise-resilient edge modes on a chain of superconducting qubits. Science 2022; 378:785-790. [DOI: 10.1126/science.abq5769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model, which exhibits nonlocal Majorana edge modes (MEMs) with
ℤ
2
parity symmetry. We find that any multiqubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
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Affiliation(s)
- X. Mi
- Google Research, Mountain View, CA, USA
| | - M. Sonner
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - M. Y. Niu
- Google Research, Mountain View, CA, USA
| | - K. W. Lee
- Google Research, Mountain View, CA, USA
| | - B. Foxen
- Google Research, Mountain View, CA, USA
| | | | | | | | - F. Arute
- Google Research, Mountain View, CA, USA
| | - K. Arya
- Google Research, Mountain View, CA, USA
| | - A. Asfaw
- Google Research, Mountain View, CA, USA
| | | | - J. C. Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J. Basso
- Google Research, Mountain View, CA, USA
| | | | | | | | - L. Brill
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Chen
- Google Research, Mountain View, CA, USA
| | - B. Chiaro
- Google Research, Mountain View, CA, USA
| | | | - P. Conner
- Google Research, Mountain View, CA, USA
| | | | | | | | - S. Demura
- Google Research, Mountain View, CA, USA
| | | | - D. Eppens
- Google Research, Mountain View, CA, USA
| | | | - L. Faoro
- Google Research, Mountain View, CA, USA
| | - E. Farhi
- Google Research, Mountain View, CA, USA
| | - R. Fatemi
- Google Research, Mountain View, CA, USA
| | - L. Flores
- Google Research, Mountain View, CA, USA
| | - E. Forati
- Google Research, Mountain View, CA, USA
| | | | - W. Giang
- Google Research, Mountain View, CA, USA
| | - C. Gidney
- Google Research, Mountain View, CA, USA
| | - D. Gilboa
- Google Research, Mountain View, CA, USA
| | | | - A. G. Dau
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - S. Hong
- Google Research, Mountain View, CA, USA
| | - T. Huang
- Google Research, Mountain View, CA, USA
| | - A. Huff
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Jiang
- Google Research, Mountain View, CA, USA
| | - C. Jones
- Google Research, Mountain View, CA, USA
| | - D. Kafri
- Google Research, Mountain View, CA, USA
| | | | | | - S. Kim
- Google Research, Mountain View, CA, USA
| | - A. Y. Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | | | - A. N. Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P. Laptev
- Google Research, Mountain View, CA, USA
| | - K.-M. Lau
- Google Research, Mountain View, CA, USA
| | - J. Lee
- Google Research, Mountain View, CA, USA
| | - L. Laws
- Google Research, Mountain View, CA, USA
| | - W. Liu
- Google Research, Mountain View, CA, USA
| | | | - O. Martin
- Google Research, Mountain View, CA, USA
| | | | - M. McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | | | | | | | - A. Morvan
- Google Research, Mountain View, CA, USA
| | - E. Mount
- Google Research, Mountain View, CA, USA
| | | | - O. Naaman
- Google Research, Mountain View, CA, USA
| | - M. Neeley
- Google Research, Mountain View, CA, USA
| | - C. Neill
- Google Research, Mountain View, CA, USA
| | - M. Newman
- Google Research, Mountain View, CA, USA
| | | | | | | | - R. Potter
- Google Research, Mountain View, CA, USA
| | | | | | - N. Saei
- Google Research, Mountain View, CA, USA
| | - D. Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - D. Strain
- Google Research, Mountain View, CA, USA
| | - Y. Su
- Google Research, Mountain View, CA, USA
| | - M. Szalay
- Google Research, Mountain View, CA, USA
| | - G. Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T. White
- Google Research, Mountain View, CA, USA
| | - Z. Yao
- Google Research, Mountain View, CA, USA
| | - P. Yeh
- Google Research, Mountain View, CA, USA
| | - J. Yoo
- Google Research, Mountain View, CA, USA
| | | | - Y. Zhang
- Google Research, Mountain View, CA, USA
| | - N. Zhu
- Google Research, Mountain View, CA, USA
| | - H. Neven
- Google Research, Mountain View, CA, USA
| | - D. Bacon
- Google Research, Mountain View, CA, USA
| | - J. Hilton
- Google Research, Mountain View, CA, USA
| | - E. Lucero
- Google Research, Mountain View, CA, USA
| | | | - S. Boixo
- Google Research, Mountain View, CA, USA
| | | | - Y. Chen
- Google Research, Mountain View, CA, USA
| | - J. Kelly
- Google Research, Mountain View, CA, USA
| | | | - D. A. Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
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13
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Zhu N, Huang YQ, Song YM, Zhang SZ, Zheng S, Yuan Y. [Efficacy comparison among high risk factors questionnaire and Asia-Pacific colorectal screening score and their combinations with fecal immunochemical test in screening advanced colorectal tumor]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:612-620. [PMID: 35844124 DOI: 10.3760/cma.j.cn441530-20211127-00478] [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: 06/15/2023]
Abstract
Objective: To investigate the effects of high risk factors questionnaire (HRFQ), Asia-Pacific colorectal screening (APCS) score and their combinations with fecal immunochemical test (FIT) in screening advanced colorectal neoplasia, in order to provide an evidence for further optimization of cancer screening program. Methods: A retrospective cohort study method was used to summarize and analyze the results of colorectal tumor screening in Jiashan County, Zhejiang Province from March 2017 to July 2018. Those with severe diseases that were not suitable for colonoscopy and those with mental and behavioral abnormalities who can not cooperate with the screening were excluded. Those who met any one or more of the followings in the HRFQ questionnaire were classified as high-risk people of HRFQ: (1) first-degree relatives with a history of colorectal cancer; (2) subjects with a history of cancer or any other malignant tumor; (3) subjects with a history of intestinal polyps; (4) those with two or more of the followings: chronic constipation (constipation lasted for more than 2 months per year in the past two years), chronic diarrhea (diarrhea lasted for more than 3 months in the past two years, and the duration of each episode was more than one week), mucus and bloody stools, history of adverse life events (occurring within the past 20 years and causing greater trauma or distress to the subject after the event), history of chronic appendicitis or appendectomy, history of chronic biliary disease or cholecystectomy. In this study, those who were assessed as high risk by HRFQ were recorded as "HRFQ (+)", and those who were not at high risk were recorded as "HRFQ (-)". The APCS questionnaire provided risk scores based on 4 risk factors including age, gender, family history and smoking: (1) age: 2 points for 50-69 years old, 3 points for 70 years old and above; (2) gender: 1 point for male, 0 point for women; (3) family history: 2 points for first-degree relatives suffering from colorectal cancer; (4) smoking: 1 point for current or past smoking, 0 point for non-smokers. The population was divided into low-risk (0-1 point), intermediate-risk (2-3 points), and high-risk (4-7 points). Those who were assessed as high risk by APCS were recorded as "APCS (+)", and those with intermediate and low risk were recorded as "APCS (-)". The hemoglobin threshold for a positive FIT was set to 100 μg/L. Those who were assessed as high risk by APCS with positive FIT were recorded as "APCS+FIT (+)". Those who were assessed as high risk by APCS with negative FIT, those who were assessed by APCS as low-middle risk with positive FIT, and those who were assessed by APCS as low-middle with negative FIT were all recorded as "APCS+FIT(-)". Observation indicators in this study were as follows: (1) the screening compliance rate of the cohort and the detection of advanced colorectal tumors; (2) positive predictive value, negative predictive value, sensitivity and specificity of HRFQ and APCS and their combination with FIT for screening advanced colorectal tumors; (3) comparison of the detection rate between HRFQ and APCS questionnaire for different colorectal lesions. Using SPSS 21.0 software, the receiver operating characteristic (ROC) curve was drawn to evaluate the clinical value of HRFQ and APCS combined with FIT in screening advanced colorectal tumors. Results: From 2017 to 2018 in Jiashan County, a total of 53 268 target subjects were screened, and 42 093 people actually completed the questionnaire, with a compliance rate of 79.02%. A total of 8145 cases underwent colonoscopy. A total of 3607 cases among HRFQ positive population (5320 cases) underwent colonoscopy, and the colonoscopy compliance rate was 67. 80%; 8 cases were diagnosed with colorectal cancer and 88 cases were advanced colorectal adenoma. A total of 2977 cases among APCS positive population (11 942 cases) underwent colonoscopy, and the colonoscopy compliance rate was 24.93%; 17 cases were diagnosed with colorectal cancer and 148 cases were advanced colorectal adenoma. The positive rate of HRFQ screening was lower than that of APCS [12.6% (5320/42 093) vs. 28.4% (11 942/42 093), χ2=3195. 547, P<0.001]. In the FIT positive population (6223 cases), a total of 4894 cases underwent colonoscopy, and the colonoscopy compliance rate was 78.64%; 34 cases were diagnosed with colorectal cancer and 224 cases were advanced adenoma. The positive predictive values of HRFQ and APCS and their combination with FIT for screening advanced colorectal tumors were 2.67%, 5.54%, 5.44%, and 8.56%; negative predictive values were 94.89%, 96.85%, 96.11% and 96.99%; sensitivity was 29.27%, 50.30%, 12.20 % and 39.02%; specificity was 55.09%, 64.03%, 91.11% and 82.51%, respectively. The ROC curves constructed by HRFQ, APCS, FIT, HRFQ+FIT and APCS+FIT indicated that APCS+FIT presented the highest efficacy in screening advanced colorectal tumors (AUC: 0.608, 95%CI: 0.574-0.642). The comparison of the detection rates of different colorectal lesions between HRFQ and APCS questionnaires showed that there were no significant differences in detection rate of inflammatory polyps and hyperplastic polyps between the two questionnaires (both P>0.05). However, as compared to HRFQ questionnaire, APCS questionnaire had higher detection rates in non-advanced adenomas [26.10% (777/2977) vs. 19.43% (701/3607), χ2=51.228, P<0.001], advanced adenoma [4.97% (148/2977) vs. 2.44% (88/3607), χ2=30.249, P<0.001] and colorectal cancer [0.57% (17 /2977) vs. 0.22% (8/3607), χ2=5.259, P=0.022]. Conclusions: APCS has a higher detection rate of advanced colorectal tumors than HRFQ. APCS combined with FIT can further improve the effectiveness of advanced colorectal tumor screening.
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Affiliation(s)
- N Zhu
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China Department of Medical Oncology, Key Labaratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y Q Huang
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y M Song
- Department of Colorectal Surgery and oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - S Z Zhang
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - S Zheng
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y Yuan
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China Department of Medical Oncology, Key Labaratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
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14
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Savona M, Mccloskey J, Griffiths E, Yee K, Al-Kali A, Zeidan A, Deeg H, Patel P, Sabloff M, Keating MM, Dao KH, Zhu N, Gabrail N, Fazal S, Maly J, Odenike O, Kantarjian H, Dezern A, O’Connell C, Roboz G, Busque L, Wells R, Amin H, Randhawa J, Leber B, Hao Y, Keer H, Azab M, Manero GG. Topic: AS08-Treatment/AS08a-Current treatment options - Hypomethylating agents. Leuk Res 2021. [DOI: 10.1016/j.leukres.2021.106681.47] [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: 10/20/2022]
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15
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Leitch H, Ezzat H, Merkeley H, Buckstein R, Zhu N, Nevill T, Olney H, Yee K, Leber B, Keating MM, Hilaire ES, Kumar R, Delage R, Geddes M, Storring J, Shamy A, Elemary M, Wells R. Topic: AS08-Treatment/AS08j-Supportive care - Iron overload. Leuk Res 2021. [DOI: 10.1016/j.leukres.2021.106681.58] [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: 10/20/2022]
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16
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Yao MH, Jia YL, Ren Y, Liu YM, Zou K, Lin K, Zhu N, Sun X. [Real-world data studies of medical products in the context of special healthcare policy: study designs and key considerations]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1306-1311. [PMID: 34814548 DOI: 10.3760/cma.j.cn112338-20210201-00085] [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: 06/13/2023]
Abstract
Boao Lecheng International Medical Tourism Pilot Area is the only administrative area in China where the pilot application of real-world data is performed. Based on the special healthcare policy in Boao Lecheng, conducting real-world data study to provide real-world evidence for the clinical evaluations and approvals of innovated medical products has become an important field that supports the reform of China's evaluation and approval system of medical products. Trustworthy real-world evidence needs to rely on both high-quality real-world data and reasonable and rigorous study designs. Based on the real-world data research guidelines and specifications issued by relevant academic research and regulatory authorities both at home and abroad, combined with the special policy environment of Boao Lecheng and previous practice experience, this paper summarizes the study designs of real world data in Boao Lecheng and discusses the key considerations of different study design in the context of special healthcare policies in Boao Lecheng in order to provide reference for the further study of real-world data.
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Affiliation(s)
- M H Yao
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
| | - Y L Jia
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
| | - Y Ren
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
| | - Y M Liu
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
| | - K Zou
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
| | - K Lin
- Center for Adverse Drug Reaction Monitoring of Boao Pilot Zone,Qionghai 571435,China National Medical Produets Administration,Haikou 570216,China
| | - N Zhu
- National Medical Produets Administration,Haikou 570216,China
| | - X Sun
- Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,China Key Laboratory for Real World Data Research and Evaluation in Hainan/Real World Data Research Institute of Hainan/Real World Data Research and Innovation Center of Boao Lecheng,Qionghai 571435,China
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Felizardo T, Lum L, Ashmaig M, Mosquera Limas S, Zhu N, Bushera H, Glass D, Berry J, Korngold R, Donato M, Glass J, Munshi P, Rowley S, Fowler D. In vivo biologic activity of induced hybrid TREG/Th2 RAPA-501 cells for als therapy: correction of TSCM:TEMimbalance, normalization of IL-6 secretion, and reduction in serum NF-L levels. Cytotherapy 2021. [DOI: 10.1016/s146532492100431x] [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: 11/25/2022]
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18
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Felizardo T, Mosquera Limas S, Zhu N, Bushera H, Glass D, Hari P, Dhakal B, Fowler D. Temsirolimus-resistant, checkpoint-deficient, homeostatic cytokine-responsive autologous TH1/TC1 cells for therapy of relapsed, refractory multiple myeloma (RRMM). Cytotherapy 2021. [DOI: 10.1016/s1465324921004011] [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: 10/21/2022]
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19
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Zheng X, Wang YC, Zhu N, Cai DY, Gong XK, Mei S, Chen WJ, Chen T, Ruan JW. Downregulation of GNAS inhibits osteogenesis of bone marrow mesenchymal stem cells and promotes osteoporosis through the Wnt pathway. Eur Rev Med Pharmacol Sci 2021; 24:2886-2892. [PMID: 32271406 DOI: 10.26355/eurrev_202003_20652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study aims to explore the role of GNAS in accelerating the progression of osteoporosis by inhibiting osteogenesis of BMSCs by the Wnt pathway. PATIENTS AND METHODS GNAS levels in OP tissues and BMSCs undergoing osteogenesis for different time points were detected. Regulatory effects of GNAS on osteogenesis-related gene expressions, ALP activity, capability of mineralization, and activation of the Wnt pathway in BMSCs were assessed through a series of functional experiments. At last, rescue experiments were performed to further verify the significance of the Wnt pathway during GNAS-mediated osteogenesis development. RESULTS GNAS was downregulated in OP tissues relative to normal bone tissues. With the prolongation of osteogenesis, GNAS level gradually increased in BMSCs. Knockdown of GNAS downregulated expression levels of ALP and RUNX2, and attenuated ALP activity and capability of mineralization in BMSCs. GNAS was able to activate the Wnt pathway in BMSCs. Notably, overexpression of Wnt3a could reverse the regulatory effects of GNAS on osteogenesis-related gene expressions, ALP activity, and capability of mineralization in BMSCs. CONCLUSIONS Downregulation of GNAS suppresses osteogenesis of BMSCs through the Wnt pathway, thus aggravating the progression of osteoporosis.
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Affiliation(s)
- X Zheng
- Department of Orthopedics, Taizhou Municipal Hospital, Taizhou, Zhejiang Province, China.
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20
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Feng Y, Gao SJ, Wei RD, Liu T, Fan XP, Han YD, Zhu N. Effects of probiotics on intestinal flora, inflammation and degree of liver cirrhosis in rats with liver cirrhosis by regulating Wnt/β-catenin signaling pathway. J BIOL REG HOMEOS AG 2021; 35:25-33. [PMID: 33472728 DOI: 10.23812/20-242-a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
We aimed to explore the effects of probiotics on intestinal flora, inflammation and degree of liver cirrhosis in rats with liver cirrhosis, and to verify the Wnt/β-catenin signaling pathway that regulates this process. A total of 30 SD rats were randomly divided into 3 groups, namely, control group (n=10), model group (n=10) and probiotic group (n=10). Rats in the model group were used to construct liver cirrhosis models using carbon tetrachloride (CCL4) method, and those in the probiotic group were administered with probiotic preparations by gavage for 8 weeks. Then the feces of rats in each group were taken to detect the composition of intestinal flora, and changes in the content of inflammatory cytokines, such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), monocyte chemotactic protein 1 (MCP-1) and interferon-gamma (IFN-γ), in peripheral blood collected were examined by enzyme-linked immunosorbent assay (ELISA). Next, changes in the degree of liver cirrhosis were analyzed by hematoxylin and eosin (H&E) staining, and the expression levels of the Wnt/β-catenin signaling pathway-related molecules, including β-catenin, glycogen synthase kinase (GSK)-3β and Frizzled-2, in liver tissues in each group were detected via polymerase chain reaction (PCR) and Western blotting (WB). Compared with rats in the control group, those in the model group had a disordered structure of hepatic lobule and hyperplasia of a large number of fibrous tissues. In contrast to those in the model group, the liver lobule structure was greatly improved, the edema cells were obviously reduced, and the hyperplasia of collagen fibers was remarkably alleviated in the probiotic group. Moreover, the degree of liver cirrhosis in the probiotic group was significantly reduced compared with that in the model group. Moreover, the rats in the model group exhibited a higher Bifidobacterium level in the intestinal tract, while those in the probiotic group displayed higher levels of microorganisms in the intestinal tract, such as Lachnospiraceae, Ruminococcaceae, Actinbacteria, Slackia and Pasteurellaceae. In comparison with that in the control group, the level of salt-tolerant Lactobacillus in the intestinal tract of rats in the model group was significantly decreased, while that in the probiotic group was partially increased (P=0.023). Meanwhile, some intestinal flora of rats in the control group, model group and probiotic group were closely correlated. Specifically, highly positive correlations were found between Bacteroidetes and Paraeggerthella (r=0.423, P=0.034) and between Firmicutes and Lactobacillus (r=0.318, P=0.027), but strongly negative associations were detected between Firmicutes and Paraeggerthella (r=-0.691, p=0.004) and between Paraeggerthella and Lactobacillus (r=-0.384, P=0.047). In addition, the levels of inflammatory cytokines TNF-α IL-6, MCP-1 and IFN-γ in the plasma of rats in the model group were markedly higher than those in the control group (P<0.05), whereas such levels in the probiotic group were decreased compared with those in the model group (P<0.05). PCR results revealed that the expression levels of β-catenin and Frizzled-2 in the model group were higher than those in the control group, whereas they were lower in the probiotic group than those in the model group (P<0.05). Furthermore, the model group had a decreased level of GSK-3β in comparison with the control group, but the probiotic group had a higher level of GSK-3β than the model group (P<0.05). WB results were consistent with PCR results. Probiotics can affect intestinal flora, inflammation and degree of liver cirrhosis in rats with liver cirrhosis, and its mechanism may be related to the Wnt/β-catenin signaling pathway.
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Affiliation(s)
- Y Feng
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - S J Gao
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - R D Wei
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - T Liu
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - X P Fan
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - Y D Han
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
| | - N Zhu
- Department of Hepatology, Qingdao No.6 People's Hospital, Qingdao, Shandong, China
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21
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Zhu N, Presas-Rodríguez S, Núñez-Marín F, Quirant-Sánchez B, Ramo-Tello C. Single pseudotumour lesion, a rare debut presentation of optic neuromyelitis spectrum disorder. Neurología (English Edition) 2021; 36:396-398. [DOI: 10.1016/j.nrleng.2020.07.016] [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] [Received: 04/25/2020] [Accepted: 07/09/2020] [Indexed: 11/15/2022] Open
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22
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Zhu N, Sánchez EC, Zhen X, Holmes A, Ahmad R. Addressing antimicrobial resistance in China: progress and challenges in translating political commitment into national action. Int J Infect Dis 2020. [DOI: 10.1016/j.ijid.2020.09.564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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23
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Zhu N, Chen JQ, Yang MY, Cheng Y, Yuan Y. [Relationship of early tumor shrinkage and depth of response with the prognosis and treatment effect of trastuzumab combined with chemotherapy as first-line treatment in advanced gastric cancer patients with epidermal growth factor receptor 2 positive]. Zhonghua Zhong Liu Za Zhi 2020; 42:869-875. [PMID: 33113630 DOI: 10.3760/cma.j.cn112152-20190213-00082] [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: 06/11/2023]
Abstract
Objective: To explore the relationship of early tumor shrinkage (ETS) and depth of response (DpR) with the prognosis and treatment effect of trastuzumab combined with chemotherapy as first-line treatment in advanced gastric cancer with epidermal growth factor receptor 2 (HER-2) positive. Methods: We retrospectively analyzed the clinical and pathological data of 23 patients with metastatic gastric adenocarcinoma diagnosed by imaging in The Second Affiliated Hospital of Zhejiang University School of Medicine from January 1st, 2008 to December 31th, 2017. Kaplan-Meier method and the log-rank test were used for the survival analysis. Cox regression was used to analyze the factors associated with prognosis. Results: The objective response rate (ORR) of the 23 patients was 43.5% and the disease control rate (DCR) was 82.6%. Univariate analysis showed the median progress-free survival (mPFS) of ETS≥20% and ETS<20% were 13.0 months and 4.5 months, respectively, with statistical significance (P<0.001). The median overall survival (mOS) of ETS≥20% and ETS<20% were 26.8 months and 10.1 months, respectively, with statistical significance (P<0.001). The median progress-free survival (mPFS) of DpR≥15% and DpR<15% were 13.0 months and 4.5 months, respectively, with statistical significance (P=0.001). The median overall survival (mOS) of DpR≥15% and DpR<15% were 26.8 months and 9.5 months, respectively, with statistical significance (P<0.001). Multivariable Cox regression analysis revealed ETS was an independent factor of PFS (P=0.030), tumor site and Eastern Cooperative Oncology Group (ECOG) score were independent factors of OS (P<0.05). Conclusion: ETS and DpR might be used to predict the treatment efficacy and prognosis of trastuzumab combined with chemotherapy as the first-line treatment of HER-2 positive gastric cancer.
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Affiliation(s)
- N Zhu
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - J Q Chen
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - M Y Yang
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y Cheng
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y Yuan
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
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24
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Cruz Walma A, Zhu N, Troulis M, August M. Retrospective Review of Facial Dog Bites Treated at MGH over a 20-year Period. J Oral Maxillofac Surg 2020. [DOI: 10.1016/j.joms.2020.07.200] [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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25
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Ge JJ, Lu WK, Zhu N, Gao XJ, Yang FQ, Wu XZ. Effect of LGR4 on synovial cells and inflammatory factors in rats with traumatic osteoarthritis. Eur Rev Med Pharmacol Sci 2020; 23:6783-6790. [PMID: 31486476 DOI: 10.26355/eurrev_201908_18716] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Traumatic arthritis is one of the most common diseases in orthopedics. LGR4 is involved in bone formation and bone development. However, the role of LGR4 in synovial cells of rats with traumatic osteoarthritis has not been reported. MATERIALS AND METHODS Sprague Dawley (SD) rats were randomly divided into the control group and model group. The Real Time-Polymerase Chain Reaction (RT-PCR), Western blot, and Enzyme-Linked Immunosorbent Assay (ELISA) were used to analyze the expression of LGR4 in synovial tissue and synovial fluid. Synovial cells were isolated and cultured, followed by transfection of LGR4-pcDNA3.1 plasmid into cells. Cell proliferation was analyzed by MTT and EdU assay, and the Caspase-3 activity was assessed using the Caspase-3 activity kit. The secretion of the inflammatory factors interleukin-1 (IL-1), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6) was detected by ELISA. NF-κB signaling pathway changes were evaluated by the Western blot. RESULTS In the model group, LGR4 mRNA expression in synovial tissue was significantly decreased, and the secretion of LGR4 in the synovial fluid was significantly decreased compared with the control group (p<0.05). LGR4 protein expression in the synovial membrane in the model group tissue was reduced. The transfection of LGR4-pcDNA3.1 plasmid into synovial cells promoted the LGR4 expression, inhibited the proliferation of synoviocytes, increased the Caspase-3 activity, the secretion of IL-1, TNF-α, and IL-6, as well as the decreased expression of NF-κB with a statistical significance, compared with the control group (p<0.05). CONCLUSIONS LGR4 expression is reduced in the rat model of traumatic osteoarthritis. The upregulation of LGR4 expression can inhibit the secretion of the inflammatory factors and inhibit the proliferation of the synovial cells by regulating NF-κB signaling pathway, which may alleviate the development of the joint inflammation.
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Affiliation(s)
- J-J Ge
- Department of Orthopedics, The 80th Army Hospital of the Chinese People's Liberation Army, Weifang, Shandong, China.
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26
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Zhu N, Presas-Rodríguez S, Núñez-Marín F, Quirant-Sánchez B, Ramo-Tello C. [Single pseudotumour lesion, a rare debut presentation of optic neuromyelitis spectrum disorder]. Neurologia 2020. [PMID: 32912746 DOI: 10.1016/j.nrl.2020.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Affiliation(s)
- N Zhu
- Servicio de Neurología, Hospital Universitario Germans Trias i Pujol, Badalona, España.
| | - S Presas-Rodríguez
- Servicio de Neurología, Hospital Universitario Germans Trias i Pujol, Badalona, España
| | - F Núñez-Marín
- Instituto de Diagnóstico por la Imagen, Hospital Universitario Germans Trias i Pujol, Badalona, España
| | - B Quirant-Sánchez
- Servicio de Inmunología, Hospital Universitario Germans Trias i Pujol, Badalona, España
| | - C Ramo-Tello
- Servicio de Neurología, Hospital Universitario Germans Trias i Pujol, Badalona, España
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27
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Chen S, Zhang Y, Li C, Ning SS, Li XX, Zhu N, Nian YP, Cao L, Yang GJ, Wang WH, Liu YZ, Wang L, Lei FL, Liu F, Shen MW. [Typical case analysis of COVID-19 cluster epidemic in Shaanxi, 2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1204-1209. [PMID: 32867425 DOI: 10.3760/cma.j.cn112338-20200225-00170] [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: 06/11/2023]
Abstract
Objective: By analyzed the transmission patterns of 4 out of the 51 COVID-19 cluster cases in Shaanxi province to provide evidences for the COVID-19 control and prevention. Methods: The epidemiological data of RT-PCR test-confirmed COVID-19 cases were collected. Transmission chain was drawn and the transmission process was analyzed. Results: Cluster case 1 contained 13 cases and was caused by a family of 5 who traveled by car to Wuhan and returned to Shaanxi. Cluster case 2 had 5cases and caused by initial patient who participated family get-together right after back from Wuhan while under incubation period. Cluster case 3 contained 10 cases and could be defined as nosocomial infection. Cluster case 4 contained 4 cases and occurred in work place. Conclusion: Higher contact frequency and smaller places were more likely to cause a small-scale COVID-19 cluster outbreak, with potential longer incubation period. COVID-19 control strategies should turn the attention to infection prevention and control in crowded places, management of enterprise resumption and prevention of nosocomial infection.
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Affiliation(s)
- S Chen
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - Y Zhang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - C Li
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - S S Ning
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - X X Li
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - N Zhu
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - Y P Nian
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - L Cao
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - G J Yang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - W H Wang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - Y Z Liu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - L Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - F L Lei
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - F Liu
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - M W Shen
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
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Ning SS, Zhang Y, Cao L, Chen S, Wang WH, Nian YP, Zhu N, Yang GJ, Li XX, Zhang SB. [Analysis of transmission characteristics of COVID-19 in Shaanxi Province]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:493-497. [PMID: 32388948 DOI: 10.3760/cma.j.cn112150-20200227-00201] [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
A total of 245 cases of COVID-19 in Shaanxi Province reported in the China information system for disease control and prevention as of February 24, 2020 were selected as the research objects, the cases are divided into imported cases (116 cases, 47.3%) and local cases (129 cases, 52.7%), their basic characteristics, time distribution, transmission mode, intergenerational interval and latent period transmission are analyzed. The age of local cases [(51.74±15.67) years old], female patients (69 cases, 53.5%), housework and retired staff (40 cases, 31.0%), and patients isolated at the time of onset (50 cases, 38.8%) were higher than imported cases, respectively[(40.66±15.41) years old, (45 cases, 38.8%), (21 cases, 18.1%), (17 cases, 14.6%)] (P values were < 0.05); The infection rate was 0.8% (31/3 666) in close contacts with local cases, which was lower than imported cases 2.0% (69/3 435) (P<0.001); The main source of infection in local cases was relatives (70 cases, 54.3%), and the main way of infection was living together and party (90 cases, 69.8%); the proportion of latent period transmission in our province was 15.5% (20 cases), and the interval between the second-generation case and the source of infection was about 4 days, and the interval between generations was about 6 days. In summary, the main way of infection of local cases in Shaanxi Province was living together and party, there were a certain proportion of latent period transmission cases at present, it's suggested that the investigation of close contacts should be started 4 days or earlier before the onset of the case.
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Affiliation(s)
- S S Ning
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - Y Zhang
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - L Cao
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - S Chen
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - W H Wang
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Non-communicable Disease Control and Prevention, Xi'an 710054, China
| | - Y P Nian
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - N Zhu
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - G J Yang
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - X X Li
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
| | - S B Zhang
- Shaanxi Provincial Centre for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention/Public Health Emergency Center, Xi'an 710054, China
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Zhu N, Li C, Ning SS, Chen S, Cao L, Yang GJ, Li XX, Nian YP, Wang WH, Liu YZ, Wang L, Lei FL, Zhang Y, Zhuang GH. [Epidemiological characteristics of COVID-19 in Shaanxi province]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:E034. [PMID: 32244260 DOI: 10.3760/cma.j.cn112338-20200225-00172] [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] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the incidence trend and epidemiological characteristics of COVID-19 in Shaanxi province. Methods: The incidence data of COVID-19 reported in Shaanxi as of 22 February, 2020 were collected for an epidemiological descriptive analysis. Results: A total of 245 confirmed cases of COVID-19 were reported in Shaanxi. Most cases were mild (87.76%). As time passed, the areas where confirmed cases were reported continued to increase. The case number in Xi'an was highest, accounting for nearly half of the total reported cases in the province. The epidemic pattern in Shaanxi had gradually shifted from imported case pattern to local case pattern, and the transmission of local cases was mainly based on family cluster transmission. The confirmed cases from different sources had caused the secondary transmission in Shaanxi. After February 7, the number of reported cases began to fluctuate and decrease stably, indicating a decrease-to-zero period. Conclusions: At present, the overall epidemic of COVID-19 in Shaanxi has gradually been mitigated. However, considering the approaching of return to work and study and the increasing of imported cases from other countries, the prevention and control of COVIS-19 in Shaanxi will face new challenges.
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Affiliation(s)
- N Zhu
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - C Li
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - S S Ning
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - S Chen
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - L Cao
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - G J Yang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - X X Li
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - Y P Nian
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - W H Wang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - Y Z Liu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - L Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - F L Lei
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Y Zhang
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - G H Zhuang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
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Rohani SA, Allen D, Gare B, Zhu N, Agrawal S, Ladak H. High-resolution imaging of the human incudostapedial joint using synchrotron-radiation phase-contrast imaging. J Microsc 2020; 277:61-70. [PMID: 31989597 DOI: 10.1111/jmi.12864] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 12/18/2019] [Accepted: 01/16/2020] [Indexed: 12/14/2022]
Abstract
The incudostapedial joint (ISJ) of the middle ear is important for proper transmission of sound energy to the cochlea. Recently, the biomechanics of the ISJ have been investigated using finite-element (FE) modelling, using simplified geometry. The objective of the present study was to investigate the feasibility of synchrotron-radiation phase-contrast imaging (SR-PCI) in visualising the ISJ ultrastructure. Three human cadaveric ISJs were dissected and scanned using SR-PCI at 0.9 µm isotropic voxel size. One of the samples was previously scanned at 9 µm voxel size. The images were visually compared and contrast-to-noise ratios (CNRs) were calculated (of both bone and soft tissues) for quantitative comparisons. The ISJ ultrastructure as well as adjacent bone and soft tissues were clearly visible in images with a 0.9 µm voxel size. The CNRs of the 0.9 µm images were relatively lower than those of the 9 µm scans, while the ratio of bone to soft tissue CNRs were higher, indicating better discernibility of bone from soft tissue in the 0.9 µm scans. This study was the first known attempt to image the ISJ ultrastructure using an SR-PCI scanner at submicron voxel size and results suggest that this method was successful. Future studies are needed to optimise the contrast and test the feasibility of imaging the ISJ in situ. LAY DESCRIPTION: The human middle ear consists of the eardrum, three small bones (the malleus, incus and stapes) and two joints connecting the bones (the incudostapedial joint and the incudomallear joint). The role of the middle ear is to amplify and transfer sound energy to the cochlea, the end organ of hearing. The incudostapedial joint (ISJ) of the middle ear is a synovial joint which is important for proper transmission of sound energy to the cochlea. Similar to other synovial joints it consists of meniscus, fluid and articulating surfaces. Recently, the biomechanics of the ISJ have been investigated using computational models, using grossly simplified geometry. Synchrotron radiation phase contrast imaging (SR-PCI) is a high-resolution imaging technique used to visualise small structures in three dimensions. The objective of the present study was to investigate the feasibility of using SR-PCI in visualising the ISJ ultrastructure. Three human cadaveric ISJs were dissected and scanned using SR-PCI at 0.9 µm isotropic voxel size. One of the samples was previously scanned at 9 µm voxel size. The images were both qualitatively and quantitatively compared. This study was the first known attempt to image the ISJ ultrastructure using an SR-PCI scanner at submicron voxel size and results suggest that this method was successful. Future studies are needed to optimise the contrast and feasibility of imaging the ISJ in situ.
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Affiliation(s)
- S A Rohani
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, Ontario, Canada
| | - D Allen
- Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada
| | - B Gare
- Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada
| | - N Zhu
- Bio-Medical Imaging and Therapy Facility, Canadian Light Source Inc., University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - S Agrawal
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, Ontario, Canada
| | - H Ladak
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, Ontario, Canada.,Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada
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Zhao JB, Zhu N, Lei YH, Zhang CJ, Li YH. Modulative effects of lncRNA TCONS_00202959 on autonomic neural function and myocardial functions in atrial fibrillation rat model. Eur Rev Med Pharmacol Sci 2020; 22:8891-8897. [PMID: 30575932 DOI: 10.26355/eurrev_201812_16658] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Atrial fibrillation (AF) is a typical cardiac arrhythmia. The autonomic nervous system can modulate the myocardial system with complicated mechanisms. Long non-coding RNA (lncRNA) is involved in myocardial diseases, and lncRNA TCONS_00202959 is down-regulated in AF. However, the detailed effects of AF on automatic functions or cardiomyocytes are not well known yet. MATERIALS AND METHODS Sprague-Dawley (SD) rats were randomly divided into control group, AF group (which was prepared by injecting the acetylcholine-CaCl2 solution) and treatment group (receiving lentiviral transfection of lncRNA TCONS_00202959 on AF rats). Real Time-quantitative PCR (RT-PCR) was used to measure the expression of lncRNA TCONS_00202959. Atrial effective refractory period (AERP) and AF induction rate were measured, along with heart rate variability (HRV) analysis to reveal autonomic nervous function. The expression of tyrosine hydroxylase (TH) and choline acetyltransferase (CHAT) was analyzed in atrial tissues. RESULTS The expression of lncRNA TCONS_00202959 was decreased in the AF group compared to the control group (p < 0.05), which also had shortened AERP and elevated AF induction rate. The analysis of the autonomic nervous function revealed lower standard deviation of NN intervals (SDNN), SDNN of atrial (SDANN), root mean square of successive differences (RMSSD) and SDNN intervals in all 5-min segments (SDNNindx), plus elevated power ratio of low frequency (LF)/high frequency (HF). TH expression was increased whilst CHAT expression was decreased (p < 0.05). The treatment group showed enhanced expression of lncRNA TCONS_00202959, elongated AERP plus decreased AF induction rate. The treatment rats also had higher SDNN, SDANN, RMSSD and SDNNindx, lower LF/HF ratio, decreased TH expression and increased CHAT expression (p < 0.05 compared to the AF group). CONCLUSIONS AF rats had decreased expression of lncRNA TCONS_00202959, which can help to prevent AF pathogenesis by suppressing cardiac autonomic nervous function.
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Affiliation(s)
- J-B Zhao
- Department of Cardiology, Central Hospital of Enshi Autonomous Prefecture, Enshi, Hubei, China.
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32
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Starkman R, Alibhai S, Wells RA, Geddes M, Zhu N, Keating MM, Leber B, Chodirker L, Sabloff M, Christou G, Leitch HA, St-Hilaire E, Finn N, Shamy A, Yee K, Storring J, Nevill T, Delage R, Elemary M, Banerji V, Lenis M, Kirubananthaan A, Mamedov A, Zhang L, Rockwood K, Buckstein R. An MDS-specific frailty index based on cumulative deficits adds independent prognostic information to clinical prognostic scoring. Leukemia 2019; 34:1394-1406. [PMID: 31811236 DOI: 10.1038/s41375-019-0666-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/30/2019] [Accepted: 11/17/2019] [Indexed: 12/21/2022]
Abstract
The frailty index (FI) is based on the principle that the more deficits an individual has, the greater their risk of adverse outcomes. It is expressed as a ratio of the number of deficits present to the total number of deficits considered. We developed an MDS-specific FI using a prospective MDS registry and assessed its ability to add prognostic power to conventional prognostic scores in MDS. The 42 deficits included in this FI included measurements of physical performance, comorbidities, laboratory values, instrumental activities of daily living, quality of life and performance status. Of 644 patients, 440 were eligible for FI calculation. The median FI score was 0.25 (range 0.05-0.67), correlated with age and IPSS/IPSS-R risk scores and discriminated overall survival. With a follow-up of 20 months, survival was 27 months (95% CI 24-30.4). By multivariate analysis, age >70, FI, transfusion dependence, and IPSS were significant covariates associated with OS. The incremental discrimination improvement of the frailty index was 37%. We derived a prognostic score with five risk groups and distinct survivals ranging from 7.4 months to not yet reached. If externally validated, the MDS-FI could be used as a tool to refine the risk stratification of current clinical prognostication models.
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Affiliation(s)
- R Starkman
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - S Alibhai
- Geriatric Medicine/Oncology, University Health Network, Toronto, ON, Canada
| | - R A Wells
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - M Geddes
- Hematology/Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - N Zhu
- Hematology/Oncology, University of Alberta Hospital, Edmonton, AB, Canada
| | - M M Keating
- Hematology/Oncology, Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | - B Leber
- Hematology/Oncology, Juravinski Cancer Center, Hamilton, ON, Canada
| | - L Chodirker
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - M Sabloff
- Hematology/Oncology, University of Ottawa, Ottawa, ON, Canada
| | - G Christou
- Hematology/Oncology, University of Ottawa, Ottawa, ON, Canada
| | - H A Leitch
- Hematology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - E St-Hilaire
- Hematology/Oncology, Dr. Georges-L-Dumont University Centre, Moncton, NB, Canada
| | - N Finn
- Hematology/Oncology, Dr. Georges-L-Dumont University Centre, Moncton, NB, Canada
| | - A Shamy
- Hematology/Oncology, Jewish General Hospital, Montreal, QC, Canada
| | - K Yee
- Hematology/Oncology, Princess Margaret Hospital, Toronto, ON, Canada
| | - J Storring
- Hematology/Oncology, McGill University Health Centre-Royal Victoria Hospital, Montreal, QC, Canada
| | - T Nevill
- Hematology/Oncology, Vancouver General Hospital, Vancouver, BC, Canada
| | - R Delage
- Hematology/Oncology, Centre de recherche du CHU de Quebec-Universite Laval, Quebec City, QC, Canada
| | - M Elemary
- Hematology, Saskatoon Cancer Centre, Saskatoon, SK, Canada
| | - V Banerji
- Hematology/Oncology, CancerCare Manitoba, Winnipeg, MB, Canada
| | - M Lenis
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - A Kirubananthaan
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - A Mamedov
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - L Zhang
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - K Rockwood
- Geriatric Medicine, Dalhousie University and Nova Scotia Health Authority, Halifax, NS, Canada
| | - R Buckstein
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
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Zhu N, Hou Y, Ji Y, Qu Y, Cui Q, Hui C. Genomic alterations, tumour mutation burden and prognosis of chinese cardiac sarcoma patients. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz283.058] [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: 11/13/2022] Open
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34
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Pandey S, Baxter E, Xu Z, Orlowski-Scherer J, Zhu N, Lidz A, Aguirre J, DeRose J, Devlin M, Hill J, Jain B, Sheth R, Avila S, Bertin E, Brooks D, Buckley-Geer E, Carnero Rosell A, Carrasco Kind M, Carretero J, Castander F, Cawthon R, da Costa L, De Vicente J, Desai S, Diehl H, Dietrich J, Doel P, Evrard A, Flaugher B, Fosalba P, Frieman J, García-Bellido J, Gerdes D, Giannantonio T, Gruendl R, Gschwend J, Hartley W, Hollowood D, James D, Krause E, Kuehn K, Kuropatkin N, Maia M, Marshall J, Melchior P, Menanteau F, Miquel R, Plazas A, Roodman A, Sanchez E, Serrano S, Sevilla-Noarbe I, Smith M, Soares-Santos M, Sobreira F, Suchyta E, Swanson M, Tarle G, Wechsler R. Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zel’dovich effect cross-correlations. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.100.063519] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [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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Wang CH, Zhu N. Patient-reported quality of life after endoscopic surgery for pituitary lesions: a meta-analysis. J BIOL REG HOMEOS AG 2018; 32:1151-1156. [PMID: 30062870] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Patient-reported outcomes are now considered as an important part of overall outcome assessment of a surgical intervention. The objective of the current study was to evaluate the patient-reported quality of life (QoL) of the subjects of endoscopic pituitary surgery. A literature search was carried out in several electronic databases and study selection was based on pre-determined eligibility criteria. Meta-analyses of standardized mean difference (SMD) were conducted to observe significance of difference between preoperative and postoperative scores of important tools. Sixteen studies were included [931 patients; 51.16 years (95% CI 49.13, 53.19) age; 48.41 % (43.74, 53.08) males]. Generally, there was no significant differences between postoperative and preoperative health-related QoL after postoperative month 1 or after fourth postoperative month. QoL after endoscopic pituitary surgery remains unchanged predominantly but may deteriorate in regard to physical role and sinonasal outcome transiently.
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Affiliation(s)
- C H Wang
- Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - N Zhu
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, China
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37
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Fan W, Peng Y, Meng Y, Zhang W, Zhu N, Wang J, Guo C, Li J, Du H, Dang Z. Transcriptomic Analysis Reveals Reduced Inorganic Sulfur Compound Oxidation Mechanism in Acidithiobacillus ferriphilus. Microbiology (Reading) 2018. [DOI: 10.1134/s0026261718040070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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38
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Richarz NA, Olivé Marques A, Llibre JM, Xicoy Cirici B, Zhu N, Gomez Plaza M, Bielsa-Marsol I. Eosinophilic Fasciitis in Association With Hypereosinophilic Syndrome in an HIV-Infected Patient With Severe Multiorgan Involvement. J Investig Allergol Clin Immunol 2018; 28:126-128. [PMID: 29661739 DOI: 10.18176/jiaci.0216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- N A Richarz
- Department of Dermatology, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Spain
| | - A Olivé Marques
- Department of Rheumatology, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Spain
| | - J M Llibre
- Department of Internal Medicine, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Spain
| | - B Xicoy Cirici
- Department of Hematology, Institut Català d'Oncologia, Badalona, Josep Carreras Leukemia Research Institute, Universitat Autònoma de Barcelona, Spain
| | - N Zhu
- Department of Neurology, Hospital Universitari Germans Trias I Pujol, Universitat Autònoma de Barcelona, Spain
| | - M Gomez Plaza
- Department of Pathology, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Spain
| | - I Bielsa-Marsol
- Department of Dermatology, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Spain
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Wang P, Zhu ZL, Zhu N, Yu H, Yue Q, Wang XL, Feng CM, Wang CL, Zhang GH. [Application of Ischemia Modified Albumin for Acute Ischemic Heart Disease in Forensic Science]. Fa Yi Xue Za Zhi 2017; 33:493-496. [PMID: 29275553 DOI: 10.3969/j.issn.1004-5619.2017.05.009] [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] [Received: 05/17/2016] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To explore the application value and forensic significance of ischemia modified albumin (IMA) in pericardial fluid to diagnose sudden cardiac death. METHODS IMA level in pericardial fluid was detected in acute ischemic heart disease group (n=36), acute myocardial infarction group (n=6), cardiomyopathy group (n=4) and control group (n=15) by albumin cobalt binding method. The levels of IMA were compared among these groups. The best cut-off IMA value was estimated and the sensitivity and specificity of acute myocardial ischemia group was distinguished from control group by receiver operating characteristics (ROC) curve. RESULTS The IMA level in acute ischemic heart disease group was significantly higher than that of control group (P<0.05). Compared with acute myocardial infarction group and cardiomyopathy group, the IMA level in acute ischemic heart disease group had no significant difference (P>0.05). The cut-off value for the identification of acute myocardial ischemia which obtained by ROC analysis was 40.65 U/mL. And the sensitivity and specificity for distinguishing acute ischemia cardiac disease was 60.0% and 80.5%, respectively. CONCLUSIONS The IMA value in pericardial fluid can be a reference marker for the diagnosis of acute myocardial ischemia, which also can provide objective basis for the forensic identification of sudden cardiac death.
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Affiliation(s)
- P Wang
- Criminal Police Detachment, Tieling Public Security Bureau, Tieling 112000, China.,School of Forensic Medicine, China Medical University, Shenyang 110001, China
| | - Z L Zhu
- School of Forensic Medicine, China Medical University, Shenyang 110001, China.,Criminal Investigation Detachment, Shijingshan Branch of Beijing Public Security Bureau, Beijing 100043, China
| | - N Zhu
- Criminal Police Detachment, Tieling Public Security Bureau, Tieling 112000, China
| | - H Yu
- School of Forensic Medicine, China Medical University, Shenyang 110001, China
| | - Q Yue
- Criminal Police Detachment, Tieling Public Security Bureau, Tieling 112000, China
| | - X L Wang
- School of Forensic Medicine, China Medical University, Shenyang 110001, China
| | - C M Feng
- School of Forensic Medicine, China Medical University, Shenyang 110001, China
| | - C L Wang
- School of Forensic Medicine, China Medical University, Shenyang 110001, China
| | - G H Zhang
- School of Forensic Medicine, China Medical University, Shenyang 110001, China
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Naylor N, Zhu N, Hulscher M, Holmes A, Ahmad R, Robotham J. Is antimicrobial stewardship cost-effective? A narrative review of the evidence. Clin Microbiol Infect 2017. [DOI: 10.1016/j.cmi.2017.06.011] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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41
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Niu LY, Yuan LL, Zhu N, Zhang R, Kang Y. [Effect of sclerotherapy on esophageal varices in cirrhotic patients with diabetes: a prognostic analysis]. Zhonghua Gan Zang Bing Za Zhi 2017; 25:463-465. [PMID: 28763866 DOI: 10.3760/cma.j.issn.1007-3418.2017.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Affiliation(s)
- L Y Niu
- Gastroenterology Department, Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China
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42
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Garcia-Manero G, Sekeres MA, Egyed M, Breccia M, Graux C, Cavenagh JD, Salman H, Illes A, Fenaux P, DeAngelo DJ, Stauder R, Yee K, Zhu N, Lee JH, Valcarcel D, MacWhannell A, Borbenyi Z, Gazi L, Acharyya S, Ide S, Marker M, Ottmann OG. A phase 1b/2b multicenter study of oral panobinostat plus azacitidine in adults with MDS, CMML or AML with ⩽30% blasts. Leukemia 2017; 31:2799-2806. [PMID: 28546581 PMCID: PMC5729337 DOI: 10.1038/leu.2017.159] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 02/13/2017] [Accepted: 02/23/2017] [Indexed: 12/15/2022]
Abstract
Treatment with azacitidine (AZA), a demethylating agent, prolonged overall survival (OS) vs conventional care in patients with higher-risk myelodysplastic syndromes (MDS). As median survival with monotherapy is <2 years, novel agents are needed to improve outcomes. This phase 1b/2b trial (n=113) was designed to determine the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D) of panobinostat (PAN)+AZA (phase 1b) and evaluate the early efficacy and safety of PAN+AZA vs AZA monotherapy (phase 2b) in patients with higher-risk MDS, chronic myelomonocytic leukemia or oligoblastic acute myeloid leukemia with <30% blasts. The MTD was not reached; the RP2D was PAN 30 mg plus AZA 75 mg/m2. More patients receiving PAN+AZA achieved a composite complete response ([CR)+morphologic CR with incomplete blood count+bone marrow CR (27.5% (95% CI, 14.6–43.9%)) vs AZA (14.3% (5.4–28.5%)). However, no significant difference was observed in the 1-year OS rate (PAN+AZA, 60% (50–80%); AZA, 70% (50–80%)) or time to progression (PAN+AZA, 70% (40–90%); AZA, 70% (40–80%)). More grade 3/4 adverse events (97.4 vs 81.0%) and on-treatment deaths (13.2 vs 4.8%) occurred with PAN+AZA. Further dose or schedule optimization may improve the risk/benefit profile of this regimen.
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Affiliation(s)
- G Garcia-Manero
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M A Sekeres
- Cleveland Clinic Taussig Cancer Institute, Cleveland, OH, USA
| | - M Egyed
- Kaposi Mor County Teaching Hospital, Kasposvár, Hungary
| | | | - C Graux
- Mont-Godinne University Hospital, Yvoir, Belgium
| | | | - H Salman
- Augusta University, Augusta, GA, USA
| | - A Illes
- University of Debrecen, Debrecen, Hungary
| | - P Fenaux
- Hôpital Saint-Louis, Université Paris Diderot, Paris, France
| | | | - R Stauder
- Innsbruck Medical University, Innsbruck, Austria
| | - K Yee
- Princess Margaret Cancer Centre, Toronto, Canada
| | - N Zhu
- University of Alberta Hospital, Edmonton, Canada
| | - J-H Lee
- Asan Medical Center, University of Ulsan, Seoul, South Korea
| | | | - A MacWhannell
- The Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK
| | | | - L Gazi
- Novartis Pharma AG, Basel, Switzerland
| | - S Acharyya
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - S Ide
- Novartis Pharmaceuticals Corporation, Cambridge, MA, USA
| | - M Marker
- Novartis Pharma S.A.S., Rueil-Malmaison, France
| | - O G Ottmann
- Department of Haematology, School of Medicine, Cardiff University, Cardiff, UK
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Buckstein R, Balleari E, Wells R, Santini V, Salvetti C, Allione B, Danise P, Finelli C, Clavio M, Zhu N, Michelle G, Sabloff M, Leitch H, Leber B, Luca M, Latagliata R, Antonietta M, Villivà N, Piccioni A, Buccisano F. MDS-Can-It: A New Validated International ESA-Response Score that Further Refines the Predictive Power of the Nordic Scoring System. Leuk Res 2017. [DOI: 10.1016/s0145-2126(17)30339-9] [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: 11/25/2022]
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44
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Leitch H, Wells R, Chodirker L, Zhu N, Nevill T, Yee K, Leber B, Keating M, Sabloff M, Hilaire ES, Kumar R, Delage R, Geddes M, Storring J, Shamy A, Elemary M, Lenis M, Francis J, Zhang L, Buckstein R. Improved Survival from Transfusion Dependence in Lower-Risk MDS Receiving Iron Chelation, Adjusting for MDS and Patient Characteristics: An MDS-Can Analysis. Leuk Res 2017. [DOI: 10.1016/s0145-2126(17)30396-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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45
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Elfarnawany M, Alam SR, Rohani SA, Zhu N, Agrawal SK, Ladak HM. Micro-CT versus synchrotron radiation phase contrast imaging of human cochlea. J Microsc 2016; 265:349-357. [PMID: 27935035 DOI: 10.1111/jmi.12507] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [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: 06/17/2016] [Revised: 08/29/2016] [Accepted: 10/30/2016] [Indexed: 11/26/2022]
Abstract
High-resolution images of the cochlea are used to develop atlases to extract anatomical features from low-resolution clinical computed tomography (CT) images. We compare visualization and contrast of conventional absorption-based micro-CT to synchrotron radiation phase contrast imaging (SR-PCI) images of whole unstained, nondecalcified human cochleae. Three cadaveric cochleae were imaged using SR-PCI and micro-CT. Images were visually compared and contrast-to-noise ratios (CNRs) were computed from n = 27 regions-of-interest (enclosing soft tissue) for quantitative comparisons. Three-dimensional (3D) models of cochlear internal structures were constructed from SR-PCI images using a semiautomatic segmentation method. SR-PCI images provided superior visualization of soft tissue microstructures over conventional micro-CT images. CNR improved from 7.5 ± 2.5 in micro-CT images to 18.0 ± 4.3 in SR-PCI images (p < 0.0001). The semiautomatic segmentations yielded accurate reconstructions of 3D models of the intracochlear anatomy. The improved visualization, contrast and modelling achieved using SR-PCI images are very promising for developing atlas-based segmentation methods for postoperative evaluation of cochlear implant surgery.
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Affiliation(s)
- M Elfarnawany
- Department of Otolaryngology-Head and Neck Surgery, Western University, London, Ontario, Canada
| | - S Riyahi Alam
- Department of Otolaryngology-Head and Neck Surgery, Western University, London, Ontario, Canada
| | - S A Rohani
- Biomedical Engineering Graduate Program, Western University, London, Ontario, Canada
| | - N Zhu
- Bio-Medical Imaging and Therapy Facility, Canadian Light Source Inc., University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - S K Agrawal
- Department of Otolaryngology-Head and Neck Surgery, Western University, London, Ontario, Canada.,Biomedical Engineering Graduate Program, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada.,Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada
| | - H M Ladak
- Department of Otolaryngology-Head and Neck Surgery, Western University, London, Ontario, Canada.,Biomedical Engineering Graduate Program, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada.,Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada
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Zhu N, Stafford W. P101 Dapsone in the treatment of idiopathic angioedema. Ann Allergy Asthma Immunol 2016. [DOI: 10.1016/j.anai.2016.09.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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47
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Wang CH, Wang LS, Zhu N. Cholinesterase inhibitors and non-steroidal anti-inflammatory drugs as Alzheimer's disease therapies: an updated umbrella review of systematic reviews and meta-analyses. Eur Rev Med Pharmacol Sci 2016; 20:4801-4817. [PMID: 27906438] [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: 06/06/2023]
Abstract
OBJECTIVE Alzheimer's Disease (AD) is a major neurological disorder marked by an amyloid-beta plaque and neurofibrillary tau-tangle depositions in the brain. Cognitive dysfunction is the key manifestation of AD. In this study, we conducted an umbrella review of meta-analyses on the risk factors and therapeutics targeting cognitive impairment and AD. MATERIALS AND METHODS We searched PubMed from January 2000-August, 2016, and screened systematic reviews and meta-analyses of studies that examined the effects of cholinesterase inhibitors in AD patients. We also included studies on non-steroidal anti-inflammatory drugs and AD. The studies comprised meta-analyses of randomized controlled trials and prospective cohorts, with 95% confidence interval. We considered the heterogeneity between different studies, denoted by I2. RESULTS We scanned a total of 750 novel meta-analyses on the topics, "risk factors for AD" and "cholinesterase inhibitors and NSAIDs" that target the disease. The search yielded three relevant studies on risk factors, and seven and three studies for ChEIs and NSAIDs respectively. A thorough examination of the studies reinforced the therapeutic role of ChEIs in AD. A combination of the glutamatergic inhibitor, memantine, with ChEIs also proved effective in ameliorating AD progression and occurrence. Contradicting the observational studies, therapeutic role of NSAIDs in AD seemed uncertain. Nonetheless, the studies showed variability in the severity of dementia and number of patient trials. Hence, we claim the need for detailed meta-analyses and superior-quality cohort studies on a larger patient population of AD. CONCLUSIONS Overall, our umbrella systematic review offers a unique and immensely helpful resource for researchers and clinicians in the field of AD, and identifies vital research gaps as well.
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Affiliation(s)
- C-H Wang
- Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
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48
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Tan W, Zhao Y, Lu R, Zhu N. Comparison of viral and epidemiological profiles among hospitalized children with severe acute respiratory diseases in Beijing and Shanghai. J Clin Virol 2016. [DOI: 10.1016/j.jcv.2016.08.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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49
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Liu F, Zhu N, Qiu L, Wang JJ, Wang WH. [Application of R-based multiple seasonal ARIMA model, in predicting the incidence of hand, foot and mouth disease in Shaanxi province]. Zhonghua Liu Xing Bing Xue Za Zhi 2016; 37:1117-20. [PMID: 27539344 DOI: 10.3760/cma.j.issn.0254-6450.2016.08.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To apply the ' auto-regressive integrated moving average product seasonal model' in predicting the number of hand, foot and mouth disease in Shaanxi province. METHODS In Shaanxi province, the trend of hand, foot and mouth disease was analyzed and tested, under the use of R software, between January 2009 and June 2015. Multiple seasonal ARIMA model was then fitted under time series to predict the number of hand, foot and mouth disease in 2016 and 2017. RESULTS Seasonal effect was seen in hand, foot and mouth disease in Shaanxi province. A multiple seasonal ARIMA (2,1,0)×(1,1,0)12 was established, with the equation as (1 -B)(1 -B12)Ln (Xt) =((1-1.000B)/(1-0.532B-0.363B(2))*(1-0.644B12-0.454B12(2)))*Epsilont. The mean of absolute error and the relative error were 531.535 and 0.114, respectively when compared to the simulated number of patients from Jun to Dec in 2015. RESULTS under the prediction of multiple seasonal ARIMA model showed that the numbers of patients in both 2016 and 2017 were similar to that of 2015 in Shaanxi province. CONCLUSION Multiple seasonal ARIMA (2,1,0)×(1,1,0)12 model could be used to successfully predict the incidence of hand, foot and mouth disease in Shaanxi province.
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Affiliation(s)
- F Liu
- Shaanxi Provincal Center for Disease Control and Prevention, Xi'an 710054, China
| | - N Zhu
- Institute for Health Information of Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - L Qiu
- Institute for Health Information of Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
| | - J J Wang
- Shaanxi Provincal Center for Disease Control and Prevention, Xi'an 710054, China
| | - W H Wang
- Institute for Communicable Disease Control and Prevention of Shaanxi Provincial Center for Disease Control and Prevention, Xi'an 710054, China
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50
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Wysokinski TW, Ianowski JP, Luan X, Belev G, Miller D, Webb MA, Zhu N, Chapman D. BMIT facility at the Canadian Light Source: Advances in X-ray phase-sensitive imaging. Phys Med 2016; 32:1753-1758. [PMID: 27453203 DOI: 10.1016/j.ejmp.2016.07.090] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Revised: 07/14/2016] [Accepted: 07/15/2016] [Indexed: 12/21/2022] Open
Abstract
The BioMedical Imaging and Therapy (BMIT) facility [1,2] located at the Canadian Light Source, provides synchrotron-specific imaging and radiation therapy capabilities. There are two separate beamlines used for experiments: the bending magnet (05B1-1) and the insertion device (05ID-2) beamline. The bending magnet beamline provides access to monochromatic beam spanning a spectral range of 15-40keV, and the beam is 240mm wide in the POE-2 experimental hutch. Users can also perform experiments with polychromatic (pink) beam. The insertion device beamline was officially opened for general user program in 2015. The source for the ID beamline is a multi-pole, superconducting 4.3T wiggler. The high field gives a critical energy over 20keV. The optics hutches prepare a beam that is 220mm wide in the last experimental hutch SOE-1. The monochromatic spectral range spans 25-150+keV. Several different X-ray detectors are available for both beamlines, with resolutions ranging from 2μm to 200μm. BMIT provides a number of imaging techniques including standard absorption X-ray imaging, K-edge subtraction imaging (KES), in-line phase contrast imaging (also known as propagation based imaging, PBI) and Diffraction Enhanced Imaging/Analyzer Based Imaging (DEI/ABI), all in either projection or CT mode. PBI and DEI/ABI are particularly important tools for BMIT users since these techniques enable visualization of soft tissue and allow for low dose imaging.
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Affiliation(s)
| | - J P Ianowski
- Anatomy and Cell Biology, University of Saskatchewan, Saskatoon, SK, Canada
| | - X Luan
- Anatomy and Cell Biology, University of Saskatchewan, Saskatoon, SK, Canada
| | - G Belev
- Canadian Light Source, Saskatoon, SK, Canada
| | - D Miller
- Canadian Light Source, Saskatoon, SK, Canada
| | - M A Webb
- Canadian Light Source, Saskatoon, SK, Canada
| | - N Zhu
- Canadian Light Source, Saskatoon, SK, Canada
| | - D Chapman
- Canadian Light Source, Saskatoon, SK, Canada; Anatomy and Cell Biology, University of Saskatchewan, Saskatoon, SK, Canada
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