1
|
Ding L, Chen C, Shan X, Liu B, Wang D, Du Z, Zhao G, Su QP, Yang Y, Halkon B, Tran TT, Liao J, Aharonovich I, Zhang M, Cheng F, Fu L, Xu X, Wang F. Optical Nonlinearity Enabled Super-Resolved Multiplexing Microscopy. Adv Mater 2024; 36:e2308844. [PMID: 37972577 DOI: 10.1002/adma.202308844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/04/2023] [Indexed: 11/19/2023]
Abstract
Optical multiplexing for nanoscale object recognition is of great significance within the intricate domains of biology, medicine, anti-counterfeiting, and microscopic imaging. Traditionally, the multiplexing dimensions of nanoscopy are limited to emission intensity, color, lifetime, and polarization. Here, a novel dimension, optical nonlinearity, is proposed for super-resolved multiplexing microscopy. This optical nonlinearity is attributable to the energy transitions between multiple energy levels of the doped lanthanide ions in upconversion nanoparticles (UCNPs), resulting in unique optical fingerprints for UCNPs with different compositions. A vortex beam is applied to transport the optical nonlinearity onto the imaging point-spread function (PSF), creating a robust super-resolved multiplexing imaging strategy for differentiating UCNPs with distinctive optical nonlinearities. The composition information of the nanoparticles can be retrieved with variations of the corresponding PSF in the obtained image. Four channels multiplexing super-resolved imaging with a single scanning, applying emission color and nonlinearity of two orthogonal imaging dimensions with a spatial resolution higher than 150 nm (1/6.5λ), are demonstrated. This work provides a new and orthogonal dimension - optical nonlinearity - to existing multiplexing dimensions, which shows great potential in bioimaging, anti-counterfeiting, microarray assays, deep tissue multiplexing detection, and high-density data storage.
Collapse
Affiliation(s)
- Lei Ding
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, NSW, 2007, Australia
| | - Chaohao Chen
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
- Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems, Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, Canberra, ACT, 2600, Australia
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, 2007, Australia
| | - Xuchen Shan
- School of Physics, Beihang University, Beijing, 100191, China
| | - Baolei Liu
- School of Physics, Beihang University, Beijing, 100191, China
| | - Dajing Wang
- School of Physics, Beihang University, Beijing, 100191, China
| | - Ziqing Du
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, NSW, 2007, Australia
| | - Guanshu Zhao
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, 2007, Australia
| | - Qian Peter Su
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, NSW, 2007, Australia
| | - Yang Yang
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, 2007, Australia
| | - Benjamin Halkon
- Centre for Audio, Acoustics and Vibration, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Toan Trong Tran
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, 2007, Australia
| | - Jiayan Liao
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, NSW, 2007, Australia
| | - Igor Aharonovich
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, NSW, 2007, Australia
| | - Min Zhang
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
| | - Faliang Cheng
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
| | - Lan Fu
- Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems, Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, Canberra, ACT, 2600, Australia
| | - Xiaoxue Xu
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, NSW, 2007, Australia
| | - Fan Wang
- School of Physics, Beihang University, Beijing, 100191, China
| |
Collapse
|
2
|
Mi C, Zhang X, Yang C, Wu J, Chen X, Ma C, Wu S, Yang Z, Qiao P, Liu Y, Wu W, Guo Z, Liao J, Zhou J, Guan M, Liang C, Liu C, Jin D. Bone disease imaging through the near-infrared-II window. Nat Commun 2023; 14:6287. [PMID: 37813832 PMCID: PMC10562434 DOI: 10.1038/s41467-023-42001-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023] Open
Abstract
Skeletal disorders are commonly diagnosed by X-ray imaging, but the radiation limits its use. Optical imaging through the near-infrared-II window (NIR-II, 1000-1700 nm) can penetrate deep tissues without radiation risk, but the targeting of contrast agent is non-specific. Here, we report that lanthanide-doped nanocrystals can passively target the bone marrow, which can be effective for over two months. We therefore develop the high-resolution NIR-II imaging method for bone disease diagnosis, including the 3D bone imaging instrumentation to show the intravital bone morphology. We demonstrate the monitoring of 1 mm bone defects with spatial resolution comparable to the X-ray imaging result. Moreover, NIR-II imaging can reveal the early onset inflammation as the synovitis in the early stage of rheumatoid arthritis, comparable to micro computed tomography (μCT) in diagnosis of osteoarthritis, including the symptoms of osteophyte and hyperostosis in the knee joint.
Collapse
Affiliation(s)
- Chao Mi
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
- National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, China.
- Shenzhen Light Life Technology Co., Ltd., Shenzhen, China.
| | - Xun Zhang
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Chengyu Yang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Jianqun Wu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Xinxin Chen
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Chenguang Ma
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Sitong Wu
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Zhichao Yang
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Pengzhen Qiao
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Yang Liu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Weijie Wu
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Zhiyong Guo
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
- National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, China
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Ming Guan
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
- Shenzhen Light Life Technology Co., Ltd., Shenzhen, China
| | - Chao Liang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
| | - Chao Liu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China.
| | - Dayong Jin
- UTS-SUSTech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
| |
Collapse
|
3
|
Aalbers J, Akerib DS, Akerlof CW, Al Musalhi AK, Alder F, Alqahtani A, Alsum SK, Amarasinghe CS, Ames A, Anderson TJ, Angelides N, Araújo HM, Armstrong JE, Arthurs M, Azadi S, Bailey AJ, Baker A, Balajthy J, Balashov S, Bang J, Bargemann JW, Barry MJ, Barthel J, Bauer D, Baxter A, Beattie K, Belle J, Beltrame P, Bensinger J, Benson T, Bernard EP, Bhatti A, Biekert A, Biesiadzinski TP, Birch HJ, Birrittella B, Blockinger GM, Boast KE, Boxer B, Bramante R, Brew CAJ, Brás P, Buckley JH, Bugaev VV, Burdin S, Busenitz JK, Buuck M, Cabrita R, Carels C, Carlsmith DL, Carlson B, Carmona-Benitez MC, Cascella M, Chan C, Chawla A, Chen H, Cherwinka JJ, Chott NI, Cole A, Coleman J, Converse MV, Cottle A, Cox G, Craddock WW, Creaner O, Curran D, Currie A, Cutter JE, Dahl CE, David A, Davis J, Davison TJR, Delgaudio J, Dey S, de Viveiros L, Dobi A, Dobson JEY, Druszkiewicz E, Dushkin A, Edberg TK, Edwards WR, Elnimr MM, Emmet WT, Eriksen SR, Faham CH, Fan A, Fayer S, Fearon NM, Fiorucci S, Flaecher H, Ford P, Francis VB, Fraser ED, Fruth T, Gaitskell RJ, Gantos NJ, Garcia D, Geffre A, Gehman VM, Genovesi J, Ghag C, Gibbons R, Gibson E, Gilchriese MGD, Gokhale S, Gomber B, Green J, Greenall A, Greenwood S, van der Grinten MGD, Gwilliam CB, Hall CR, Hans S, Hanzel K, Harrison A, Hartigan-O'Connor E, Haselschwardt SJ, Hernandez MA, Hertel SA, Heuermann G, Hjemfelt C, Hoff MD, Holtom E, Hor JYK, Horn M, Huang DQ, Hunt D, Ignarra CM, Jacobsen RG, Jahangir O, James RS, Jeffery SN, Ji W, Johnson J, Kaboth AC, Kamaha AC, Kamdin K, Kasey V, Kazkaz K, Keefner J, Khaitan D, Khaleeq M, Khazov A, Khurana I, Kim YD, Kocher CD, Kodroff D, Korley L, Korolkova EV, Kras J, Kraus H, Kravitz S, Krebs HJ, Kreczko L, Krikler B, Kudryavtsev VA, Kyre S, Landerud B, Leason EA, Lee C, Lee J, Leonard DS, Leonard R, Lesko KT, Levy C, Li J, Liao FT, Liao J, Lin J, Lindote A, Linehan R, Lippincott WH, Liu R, Liu X, Liu Y, Loniewski C, Lopes MI, Lopez Asamar E, López Paredes B, Lorenzon W, Lucero D, Luitz S, Lyle JM, Majewski PA, Makkinje J, Malling DC, Manalaysay A, Manenti L, Mannino RL, Marangou N, Marzioni MF, Maupin C, McCarthy ME, McConnell CT, McKinsey DN, McLaughlin J, Meng Y, Migneault J, Miller EH, Mizrachi E, Mock JA, Monte A, Monzani ME, Morad JA, Morales Mendoza JD, Morrison E, Mount BJ, Murdy M, Murphy ASJ, Naim D, Naylor A, Nedlik C, Nehrkorn C, Neves F, Nguyen A, Nikoleyczik JA, Nilima A, O'Dell J, O'Neill FG, O'Sullivan K, Olcina I, Olevitch MA, Oliver-Mallory KC, Orpwood J, Pagenkopf D, Pal S, Palladino KJ, Palmer J, Pangilinan M, Parveen N, Patton SJ, Pease EK, Penning B, Pereira C, Pereira G, Perry E, Pershing T, Peterson IB, Piepke A, Podczerwinski J, Porzio D, Powell S, Preece RM, Pushkin K, Qie Y, Ratcliff BN, Reichenbacher J, Reichhart L, Rhyne CA, Richards A, Riffard Q, Rischbieter GRC, Rodrigues JP, Rodriguez A, Rose HJ, Rosero R, Rossiter P, Rushton T, Rutherford G, Rynders D, Saba JS, Santone D, Sazzad ABMR, Schnee RW, Scovell PR, Seymour D, Shaw S, Shutt T, Silk JJ, Silva C, Sinev G, Skarpaas K, Skulski W, Smith R, Solmaz M, Solovov VN, Sorensen P, Soria J, Stancu I, Stark MR, Stevens A, Stiegler TM, Stifter K, Studley R, Suerfu B, Sumner TJ, Sutcliffe P, Swanson N, Szydagis M, Tan M, Taylor DJ, Taylor R, Taylor WC, Temples DJ, Tennyson BP, Terman PA, Thomas KJ, Tiedt DR, Timalsina M, To WH, Tomás A, Tong Z, Tovey DR, Tranter J, Trask M, Tripathi M, Tronstad DR, Tull CE, Turner W, Tvrznikova L, Utku U, Va'vra J, Vacheret A, Vaitkus AC, Verbus JR, Voirin E, Waldron WL, Wang A, Wang B, Wang JJ, Wang W, Wang Y, Watson JR, Webb RC, White A, White DT, White JT, White RG, Whitis TJ, Williams M, Wisniewski WJ, Witherell MS, Wolfs FLH, Wolfs JD, Woodford S, Woodward D, Worm SD, Wright CJ, Xia Q, Xiang X, Xiao Q, Xu J, Yeh M, Yin J, Young I, Zarzhitsky P, Zuckerman A, Zweig EA. First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment. Phys Rev Lett 2023; 131:041002. [PMID: 37566836 DOI: 10.1103/physrevlett.131.041002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/06/2023] [Accepted: 06/07/2023] [Indexed: 08/13/2023]
Abstract
The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dakota, USA. This Letter reports results from LUX-ZEPLIN's first search for weakly interacting massive particles (WIMPs) with an exposure of 60 live days using a fiducial mass of 5.5 t. A profile-likelihood ratio analysis shows the data to be consistent with a background-only hypothesis, setting new limits on spin-independent WIMP-nucleon, spin-dependent WIMP-neutron, and spin-dependent WIMP-proton cross sections for WIMP masses above 9 GeV/c^{2}. The most stringent limit is set for spin-independent scattering at 36 GeV/c^{2}, rejecting cross sections above 9.2×10^{-48} cm at the 90% confidence level.
Collapse
Affiliation(s)
- J Aalbers
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - D S Akerib
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C W Akerlof
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A K Al Musalhi
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - F Alder
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - A Alqahtani
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S K Alsum
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C S Amarasinghe
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A Ames
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Anderson
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - N Angelides
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - H M Araújo
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Armstrong
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - M Arthurs
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S Azadi
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - A J Bailey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baker
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J Balajthy
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - S Balashov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Bang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J W Bargemann
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M J Barry
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Barthel
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Bauer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baxter
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - K Beattie
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Belle
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Beltrame
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Bensinger
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T Benson
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E P Bernard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Bhatti
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - A Biekert
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T P Biesiadzinski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - H J Birch
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - B Birrittella
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - G M Blockinger
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - K E Boast
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - B Boxer
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Bramante
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C A J Brew
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - P Brás
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - J H Buckley
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - V V Bugaev
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - S Burdin
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - J K Busenitz
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Buuck
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R Cabrita
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - C Carels
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D L Carlsmith
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - B Carlson
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M C Carmona-Benitez
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - M Cascella
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C Chan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Chawla
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - H Chen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J J Cherwinka
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N I Chott
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Cole
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Coleman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M V Converse
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Cottle
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - G Cox
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - W W Craddock
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - O Creaner
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Curran
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - A Currie
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Cutter
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - C E Dahl
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - A David
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Davis
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - T J R Davison
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Delgaudio
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Dey
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - L de Viveiros
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - A Dobi
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J E Y Dobson
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - E Druszkiewicz
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Dushkin
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T K Edberg
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M M Elnimr
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W T Emmet
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - S R Eriksen
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - C H Faham
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Fan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - S Fayer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - N M Fearon
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Fiorucci
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H Flaecher
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - P Ford
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - V B Francis
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - E D Fraser
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - T Fruth
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R J Gaitskell
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N J Gantos
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Garcia
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Geffre
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - V M Gehman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Genovesi
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C Ghag
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R Gibbons
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - E Gibson
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - M G D Gilchriese
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - S Gokhale
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Gomber
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Green
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - A Greenall
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - S Greenwood
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | | | - C B Gwilliam
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - C R Hall
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - S Hans
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - K Hanzel
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Harrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Hartigan-O'Connor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S J Haselschwardt
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M A Hernandez
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S A Hertel
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - G Heuermann
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - C Hjemfelt
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M D Hoff
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E Holtom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Y-K Hor
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Horn
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Q Huang
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Hunt
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - C M Ignarra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R G Jacobsen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - O Jahangir
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R S James
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - S N Jeffery
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - W Ji
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Johnson
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A C Kaboth
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A C Kamaha
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
| | - K Kamdin
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - V Kasey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - K Kazkaz
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J Keefner
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Khaitan
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M Khaleeq
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Khazov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - I Khurana
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - Y D Kim
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - C D Kocher
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Kodroff
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - L Korley
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - E V Korolkova
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Kras
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - H Kraus
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Kravitz
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H J Krebs
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - L Kreczko
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Krikler
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - V A Kudryavtsev
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - S Kyre
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - B Landerud
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E A Leason
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Lee
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Lee
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - D S Leonard
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - R Leonard
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K T Lesko
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - C Levy
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J Li
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - F-T Liao
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - J Liao
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J Lin
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Lindote
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - R Linehan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - W H Lippincott
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Liu
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - X Liu
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - Y Liu
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C Loniewski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M I Lopes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Lopez Asamar
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - B López Paredes
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W Lorenzon
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - D Lucero
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Luitz
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J M Lyle
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - P A Majewski
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Makkinje
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D C Malling
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Manalaysay
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - L Manenti
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R L Mannino
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N Marangou
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - M F Marzioni
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Maupin
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M E McCarthy
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - C T McConnell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D N McKinsey
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J McLaughlin
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - Y Meng
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Migneault
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E H Miller
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Mizrachi
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J A Mock
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - A Monte
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - M E Monzani
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State
| | - J A Morad
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - J D Morales Mendoza
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - E Morrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - B J Mount
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - M Murdy
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - A St J Murphy
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - D Naim
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A Naylor
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - C Nedlik
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - C Nehrkorn
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - F Neves
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Nguyen
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J A Nikoleyczik
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - A Nilima
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J O'Dell
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - F G O'Neill
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - K O'Sullivan
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Olcina
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M A Olevitch
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - K C Oliver-Mallory
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J Orpwood
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - D Pagenkopf
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - S Pal
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - K J Palladino
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Palmer
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - M Pangilinan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N Parveen
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - S J Patton
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E K Pease
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - B Penning
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - C Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Perry
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - T Pershing
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - I B Peterson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Piepke
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Podczerwinski
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - D Porzio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - S Powell
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R M Preece
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - K Pushkin
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - Y Qie
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - B N Ratcliff
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - L Reichhart
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C A Rhyne
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Richards
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Q Riffard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - G R C Rischbieter
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J P Rodrigues
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Rodriguez
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - H J Rose
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Rosero
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - P Rossiter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - T Rushton
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - G Rutherford
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Rynders
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - J S Saba
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Santone
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A B M R Sazzad
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - R W Schnee
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - P R Scovell
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - D Seymour
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S Shaw
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - T Shutt
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J J Silk
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - C Silva
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Sinev
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K Skarpaas
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - W Skulski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - R Smith
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M Solmaz
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - V N Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - P Sorensen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Soria
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Stancu
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M R Stark
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Stevens
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - T M Stiegler
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K Stifter
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Studley
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - B Suerfu
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T J Sumner
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - P Sutcliffe
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - N Swanson
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - M Szydagis
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - M Tan
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D J Taylor
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - R Taylor
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W C Taylor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D J Temples
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - B P Tennyson
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - P A Terman
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K J Thomas
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D R Tiedt
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M Timalsina
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - W H To
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - A Tomás
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Z Tong
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - D R Tovey
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Tranter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - M Trask
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Tripathi
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - D R Tronstad
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - W Turner
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - L Tvrznikova
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - U Utku
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Va'vra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - A Vacheret
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A C Vaitkus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J R Verbus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E Voirin
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - W L Waldron
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Wang
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - B Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J J Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W Wang
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - Y Wang
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J R Watson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - R C Webb
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - A White
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D T White
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - J T White
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - R G White
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Whitis
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Williams
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - W J Wisniewski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - M S Witherell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - F L H Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - J D Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - S Woodford
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - D Woodward
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - S D Worm
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - C J Wright
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xia
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - X Xiang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xiao
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Xu
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - M Yeh
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - J Yin
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - I Young
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Zarzhitsky
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - A Zuckerman
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E A Zweig
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
| |
Collapse
|
4
|
Hu Z, Jiang D, Zhao X, Yang J, Liang D, Wang H, Zhao C, Liao J. Predicting Drug Treatment Outcomes in Childrens with Tuberous Sclerosis Complex-Related Epilepsy: A Clinical Radiomics Study. AJNR Am J Neuroradiol 2023:ajnr.A7911. [PMID: 37348968 PMCID: PMC10337615 DOI: 10.3174/ajnr.a7911] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 05/22/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND AND PURPOSE Highly predictive markers of drug treatment outcomes of tuberous sclerosis complex-related epilepsy are a key unmet clinical need. The objective of this study was to identify meaningful clinical and radiomic predictors of outcomes of epilepsy drug treatment in patients with tuberous sclerosis complex. MATERIALS AND METHODS A total of 105 children with tuberous sclerosis complex-related epilepsy were enrolled in this retrospective study. The pretreatment baseline predictors that were used to predict drug treatment outcomes included patient demographic and clinical information, gene data, electroencephalogram data, and radiomic features that were extracted from pretreatment MR imaging scans. The Spearman correlation coefficient and least absolute shrinkage and selection operator were calculated to select the most relevant features for the drug treatment outcome to build a comprehensive model with radiomic and clinical features for clinical application. RESULTS Four MR imaging-based radiomic features and 5 key clinical features were selected to predict the drug treatment outcome. Good discriminative performances were achieved in testing cohorts (area under the curve = 0.85, accuracy = 80.0%, sensitivity = 0.75, and specificity = 0.83) for the epilepsy drug treatment outcome. The model of radiomic and clinical features resulted in favorable calibration curves in all cohorts. CONCLUSIONS Our results suggested that the radiomic and clinical features model may predict the epilepsy drug treatment outcome. Age of onset, infantile spasms, antiseizure medication numbers, epileptiform discharge in left parieto-occipital area of electroencephalography, and gene mutation type are the key clinical factors to predict the epilepsy drug treatment outcome. The texture and first-order statistic features are the most valuable radiomic features for predicting drug treatment outcomes.
Collapse
Affiliation(s)
- Z Hu
- From the Departments of Neurology (Z.H., X.Z., J.L.)
| | - D Jiang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - X Zhao
- From the Departments of Neurology (Z.H., X.Z., J.L.)
| | - J Yang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - D Liang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Paul C. Lauterbur Research Center for Biomedical Imaging (D.L., H.W.), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - H Wang
- Paul C. Lauterbur Research Center for Biomedical Imaging (D.L., H.W.), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - C Zhao
- Radiology (C.Z.), Shenzhen Children's Hospital, Shenzhen, China
| | - J Liao
- From the Departments of Neurology (Z.H., X.Z., J.L.)
| |
Collapse
|
5
|
Hou S, Gao X, Wang S, Yu X, Liao J, Su D. Precise Defect Engineering on Graphitic Carbon Nitrides for Boosted Solar H 2 Production. Small 2023:e2302500. [PMID: 37259673 DOI: 10.1002/smll.202302500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/08/2023] [Indexed: 06/02/2023]
Abstract
Defect engineering has been regarded as an "all-in-one strategy" to alleviate the insufficient solar utilization in g-C3 N4 . However, without appropriate modification, the defect benefits will be partly offset due to the formation of deep localized defect states and deteriorated surface states, lowering the photocarrier separation efficiency. To this end, the defective g-C3 N4 is designed with both S dopants and N vacancies via a dual-solvent-assisted synthetic approach. The precise defect control is realized by the addition of ethylene glycol (EG) into precursor formation and molten sulfur into the pyrolysis process, which simultaneously induced g-C3N4. with shallow defect states. These shallow defect energy levels can act as a temporary electron reservoir, which are critical to evoke the migrated electrons from CB with a moderate trapping ability, thus suppressing the bulky photocarrier recombination. Additionally, the optimized surface states of DCN-ES are also demonstrated by the highest electron-trapping resistance (Rtrapping ) of 9.56 × 103 Ω cm2 and the slowest decay kinetics of surface carriers (0.057 s-1 ), which guaranteed the smooth surface charge transfer rather than being the recombination sites. As a result, DCN-ES exhibited a superior H2 evolution rate of 4219.9 µmol g-1 h-1 , which is 29.1-fold higher than unmodified g-C3 N4 .
Collapse
Affiliation(s)
- Shaoqi Hou
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Xiaochun Gao
- School of Physics and Optoelectronic Engineering, Ludong University, Yantai, 264000, China
| | - Shijian Wang
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Xingxing Yu
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
- Department of Chemistry, The University of Tokyo, Tokyo, 7-3-1 Hogo, Bunkyo, Japan
| | - Jiayan Liao
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Dawei Su
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| |
Collapse
|
6
|
Tripathi A, Zalogina A, Liao J, Wurdack M, Estrecho E, Zhou J, Jin D, Kruk SS, Kivshar Y. Metasurface-Controlled Photonic Rashba Effect for Upconversion Photoluminescence. Nano Lett 2023; 23:2228-2232. [PMID: 36946059 DOI: 10.1021/acs.nanolett.2c04861] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
We demonstrate the effect of spin-momentum locking of upconversion photoluminescence emitted from rare-earth doped nanocrystals coupled to a phase-gradient dielectric metasurface. We observe different directionalities for left and right circular polarized light and associate this experimental observation with the photonic Rashba effect realized for upconverted photoluminescence that is manifested in the spin-dependent splitting of emitted light in the momentum space.
Collapse
Affiliation(s)
- Aditya Tripathi
- Nonlinear Physics Centre, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Anastasiia Zalogina
- Nonlinear Physics Centre, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
- Research School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Matthias Wurdack
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Eliezer Estrecho
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Sergey S Kruk
- Nonlinear Physics Centre, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
- Department of Physics, University of Paderborn, D-33098 Paderborn, Germany
| | - Yuri Kivshar
- Nonlinear Physics Centre, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| |
Collapse
|
7
|
Yu S, Wang G, Liao J, Shen X, Chen J. Integrated analysis of long non-coding RNAs and mRNA expression profiles identified potential interactions regulating melanogenesis in chicken skin. Br Poult Sci 2023; 64:19-25. [PMID: 35979716 DOI: 10.1080/00071668.2022.2113506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
1. Long non-coding RNAs (lncRNAs) play important roles in various physiological functions. However, the mechanisms underlying the regulation of lncRNAs in melanogenesis remain unclear. To determine the molecular mechanisms involved in skin melanogenesis, the present study depicted the expression profiles of lncRNAs and messenger RNAs (mRNAs) in black- (B group) and white- (W group) skinned chickens using RNA sequencing.2. In total, 373 differentially expressed lncRNAs (DELs; 203 up-regulated and 170 down-regulated) and 253 differentially expressed genes (DEGs; 152 up-regulated and 101 down-regulated) were identified between the B and W groups. A total of eight known melanogenesis-related genes were identified (KIT, TYRP1, DCT (TYRP2), SLC45A2, OCA2, EDNRB2, TRPM1 and RAB38).3. Functional annotation of the co-expressed DEGs and DELs was performed using Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses. The co-expressed DEGs were mainly involved in melanogenesis and the co-expressed genes of 117 and 108 DELs were significantly enriched in the melanogenesis and tyrosine metabolism pathways, respectively.4. The DEL-DEG interaction network revealed that three lncRNAs (XR_003072387.1, XR_003075112.1, and XR_003077033.1) and DCT genes may have key roles in regulating melanogenesis in chicken skin. This data provides the groundwork for studying the lncRNA regulatory mechanisms of skin melanogenesis and suggested a new perspective on the modulation of melanogenesis in chicken skin based on a lncRNA-mRNA causal regulatory network.
Collapse
Affiliation(s)
- S Yu
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Shizhong, China
| | - G Wang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Shizhong, China
| | - J Liao
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Shizhong, China
| | - X Shen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Shizhong, China
| | - J Chen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Shizhong, China
| |
Collapse
|
8
|
Calhoun S, Gao Z, Vachhani B, Brandt K, Shah K, Liao J, He F, Vgontzas A, Liao D, Bixler E, Fernandez-Mendoza J. Sleep disordered breathing since childhood associated with atherosclerosis in adulthood. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
|
9
|
Chen YR, Wang XW, Liao J, Yi YX, Zhang W. [Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:830-835. [PMID: 36456479 DOI: 10.3760/cma.j.cn112141-20221009-00621] [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: 06/17/2023]
Abstract
Objective: To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Methods: Thirty-two patients with early-staging endometrial carcinoma were operated with laparoscopic comprehensive staging laparotomy from January 2019 to December 2021. At the same time, the SLN detection was performed by near-infrared fluorescence imaging tracer technology, in which the tracer was indocyanine green. Sixteen cases were injected with indocyanine green before laparoscopic surgery, and 16 cases were injected with indocyanine green before robot-assisted laparoscopic surgery. The operation index, postoperative complications, prognosis, and lymph node dissection were compared between the two groups. Results: (1) The mean age of patients in the robot group was (54.7±8.1) years old, and was (54.9±8.8) years old in the laparoscopic group. There were no significant difference between the two groups (t=0.06, P=0.951). (2) Intraoperative blood loss [(131±40) vs (169±57) ml], hemoglobin difference before and after surgery [(11.2±5.4) vs (15.5±5.7) g/L], the length of stay after operation [(6.2±1.3) vs (8.6±1.4) days] between the robot group and the laparoscopic group were compared, and the differences were statistically significant (all P<0.05). (3) SLNs were detected in all 16 patients in the robotic group, and a total of 41 SLNs were detected. SLNs were detected in 15 of the 16 patients in the laparoscopy group, and a total of 40 SLNs were detected. Compared with the laparoscopic group (15/16), the total detection rate of SLN in the robotic group (16/16), there were no statistical significance (χ2=1.03, P=0.310). Compared with the laparoscopic group (7/15), the SLN bilateral detection rate in the robotic group (10/16), there were also no significant difference (χ2=0.78, P=0.376). The number of lymph nodes detected in surgery group (16.6±4.1) were lower than those in the laparoscopy surgery group (21.0±7.1), while there were no statistically difference between the two groups (χ2=2.01, P=0.054). There was no tumor metastasis in the resected lymph nodes and SLN between the two groups. The false negative rate of SLN in diagnosing endometrial cancer postoperative lymph node metastasis was 0, and the negative predictive value was 100%. (4) The pelvic and retroperitoneal lymph nodes were divided into five regions, which were the left pelvis, the right pelvis, the presacral region, the deep inguinal region, and the abdominal aorta. The numbers of SLN of unilateral detection and bilateral pelvic detection between two groups showed no significant differences (all P>0.05). The left pelvis had the most SLN imaging in both groups, followed by the right pelvis, para-aortic, and deep groin. (5) There was one patient in both robotic group and laparoscopic group with postoperative complications, which were urinary retention and pelvic lymph node cyst respectively. There were no significant differences in the incidence of complications between the two groups (χ2=0.97, P=1.000). The median follow-up time after operation was 14 months (range 6-24 months). During the follow-up period, no local recurrence or distant metastasis was found between the two groups of endometrial cancer patients. Conclusions: Compared with the laparoscopic group, the robot group has less intraoperative blood loss and shorter postoperative hospital stay. The bilateral detection rate of SLN in the group was better than that of laparoscopy.
Collapse
Affiliation(s)
- Y R Chen
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - X W Wang
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - J Liao
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Y X Yi
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - W Zhang
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| |
Collapse
|
10
|
Liao J, Mehta M, Hsu F. LIMITED CUTANEOUS SYSTEMIC SCLEROSIS MIMICKING HEREDITARY ANGIOEDEMA WITH NORMAL C1 INHIBITOR. Ann Allergy Asthma Immunol 2022. [DOI: 10.1016/j.anai.2022.08.830] [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: 11/11/2022]
|
11
|
Caplette JN, Gfeller L, Lei D, Liao J, Xia J, Zhang H, Feng X, Mestrot A. Antimony release and volatilization from rice paddy soils: Field and microcosm study. Sci Total Environ 2022; 842:156631. [PMID: 35691353 DOI: 10.1016/j.scitotenv.2022.156631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
The fate of antimony (Sb) in submerged soils and the impact of common agricultural practices (e.g., manuring) on Sb release and volatilization is understudied. We investigated porewater Sb release and volatilization in the field and laboratory for three rice paddy soils. In the field study, the porewater Sb concentration (up to 107.1 μg L-1) was associated with iron (Fe) at two sites, and with pH, Fe, manganese (Mn), and sulfate (SO42-) at one site. The surface water Sb concentrations (up to 495.3 ± 113.7 μg L-1) were up to 99 times higher than the regulatory values indicating a potential risk to aquaculture and rice agriculture. For the first time, volatile Sb was detected in rice paddy fields using a validated quantitative method (18.1 ± 5.2 to 217.9 ± 160.7 mg ha-1 y-1). We also investigated the influence of two common rice agriculture practices (flooding and manuring) on Sb release and volatilization in a 56-day microcosm experiment using the same soils from the field campaign. Flooding induced an immediate, but temporary, Sb release into the porewater that declined with SO42-, indicating that SO42- reduction may reduce porewater Sb concentrations. A secondary Sb release, corresponding to Fe reduction in the porewater, was observed in some of the microcosms. Our results suggest flooding-induced Sb release into rice paddy porewaters is temporary but relevant. Manuring the soils did not impact the porewater Sb concentration but did enhance Sb volatilization. Volatile Sb (159.6 ± 108.4 to 2237.5 ± 679.7 ng kg-1 y-1) was detected in most of the treatments and was correlated with the surface water Sb concentration. Our study indicates that Sb volatilization could be occurring at the soil-water interface or directly in the surface water and highlights that future works should investigate this potentially relevant mechanism.
Collapse
Affiliation(s)
| | - L Gfeller
- Institute of Geography, University of Bern, Switzerland
| | - D Lei
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - J Liao
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - J Xia
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - H Zhang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - X Feng
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China.
| | - A Mestrot
- Institute of Geography, University of Bern, Switzerland.
| |
Collapse
|
12
|
Zhang L, Cao C, Kaushik N, Lai RY, Liao J, Wang G, Ariotti N, Jin D, Stenzel MH. Controlling the Biological Behaviors of Polymer-Coated Upconverting Nanoparticles by Adjusting the Linker Length of Estrone Ligands. Biomacromolecules 2022; 23:2572-2585. [PMID: 35584062 DOI: 10.1021/acs.biomac.2c00265] [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: 11/30/2022]
Abstract
The estrone ligand is used for modifying nanoparticle surfaces to improve their targeting effect on cancer cell lines. However, to date, there is no common agreement on the ideal linker length to be used for the optimum targeting performance. In this study, we aimed to investigate the impact of poly(poly ethylene glycol methyl ether methacrylate) (PPEGMEMA) linker length on the cellular uptake behavior of polymer-coated upconverting nanoparticles (UCNPs). Different triblock terpolymers, poly(poly (ethylene glycol) methyl ether methacrylate)-block-polymethacrylic acid-block-polyethylene glycol methacrylate phosphate (PPEGMEMAx-b-PMAAy-b-PEGMP3: x = 7, 15, 33, and 80; y = 16, 20, 18, and 18), were synthesized with different polymer linker chain lengths between the surface and the targeting ligand by reversible addition-fragmentation chain transfer polymerization. The estrone ligand was attached to the polymer via specific terminal conjugation. The cellular association of polymer-coated UCNPs with linker chain lengths was evaluated in MCF-7 cells by flow cytometry. Our results showed that the bioactivity of ligand modification is dependent on the length of the polymer linker. The shortest polymer PPEGMEMA7-b-PMAA16-b-PEGMP3 with estrone at the end of the polymer chain was found to have the best cellular association behavior in the estrogen receptor (ER)α-positive expression cell line MCF-7. Additionally, the anticancer drug doxorubicin•HCl was encapsulated in the nanocarrier to evaluate the 2D and 3D cytotoxicity. The results showed that estrone modification could efficiently improve the cellular uptake in ERα-positive expression cell lines and in 3D spheroid models.
Collapse
Affiliation(s)
- Lin Zhang
- Cluster for Advanced Macromolecular Design, School of Chemistry, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Cheng Cao
- Cluster for Advanced Macromolecular Design, School of Chemistry, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Natasha Kaushik
- Electron Microscope Unit, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Rebecca Y Lai
- Cluster for Advanced Macromolecular Design, School of Chemistry, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, Sydney 2006 New South Wales, Australia
| | - Guannan Wang
- Cluster for Advanced Macromolecular Design, School of Chemistry, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Nicholas Ariotti
- Electron Microscope Unit, University of New South Wales, Sydney 2052, New South Wales, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, Sydney 2006 New South Wales, Australia
| | - Martina H Stenzel
- Cluster for Advanced Macromolecular Design, School of Chemistry, University of New South Wales, Sydney 2052, New South Wales, Australia
| |
Collapse
|
13
|
Cui GZ, Zhou QS, Cheng QQ, Rao FQ, Cheng YM, Tian Y, Zhang T, Chen ZH, Liao J, Guan ZZ, Qi XL, Wu Q, Hong W. [Transcriptomic analysis of the ΔPaLoc mutant of Clostridioides difficile and verification of its toxicity]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:601-608. [PMID: 35644974 DOI: 10.3760/cma.j.cn112150-20220222-00166] [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: Comparative analyses of wild-type Clostridioides difficile 630 (Cd630) strain and pathogenicity locus (PaLoc) knockout mutant (ΔPaLoc) by using RNA-seq technology. Analysis of differential expression of Cd630 wild-type strain and ΔPaLoc mutant strain and measurement of its cellular virulence changes. Lay the foundation for the construction of an toxin-attenuated vaccine strain against Clostridioides difficile. Methods: Analysis of Cd630 and ΔPaLoc mutant strains using high-throughput sequencing (RNA-seq). Clustering differentially expressed genes and screening differentially expressed genes by DESeq software. Further analysis of differential genes using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, cytotoxicity assays of ΔPaLoc and Cd630 strains were performed in the African monkey kidney epithelial cell (Vero) and the human colonic cell (Caco-2) lines. Results: The transcriptome data showed that the ΔPaLoc mutant toxin genes tcdA and tcdB were not transcribed. Compared to the wild-type strain, CD630_36010, CD630_020910,CD630_02080 and cel genes upregulated 17.92,11.40,8.93 and 7.55 fold, respectively. Whereas the hom2 (high serine dehydrogenase), the CD630_15810 (spore-forming protein), CD630_23230 (zinc-binding dehydrogenase) and CD630_23240 (galactitol 1-phosphate 5-dehydrogenase) genes were down-regulated by 0.06, 0.075, 0.133 and 0.183 fold, respectively. The GO and KEGG enrichment analyses showed that the differentially transcribed genes in ΔPaLoc were enriched in the density-sensing system, ABC transport system, two-component system, phosphotransferase (PTS) system, and sugar metabolism pathway, as well as vancomycin resistance-related pathways. Cytotoxicity assays showed that the ΔPaLoc mutant strain lost its virulence to Vero and Caco-2 cells compared to the wild-type Cd630 strain. Conclusion: Transcriptional sequencing analysis of the Cd630 and ΔPaLoc mutant strains showed that the toxin genes were not transcribed. Those other differential genes could provide a reference for further studies on the physiological and biochemical properties of the ΔPaLoc mutant strain. Cytotoxicity assays confirmed that the ΔPaLoc mutant lost virulence to Vero and Caco-2 cells, thus laying the foundation for constructing an toxin-attenuated vaccine strain against C. difficile.
Collapse
Affiliation(s)
- G Z Cui
- Key Laboratory of Microbiology and Parasitology of Education Department of Guizhou, Guizhou Medical University, Guiyang 550004, China
| | - Q S Zhou
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| | - Q Q Cheng
- Department of Clinical Laboratory, Shanghai 10th People's Hospital of Tongji University, Shanghai 200072, China
| | - F Q Rao
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| | - Y M Cheng
- General ICU of the Affiliated Hospital of Guizhou Medical University, Guiyang 550001, China
| | - Y Tian
- Guizhou Polytechnic of Construction, Qingzhen 551400, China
| | - T Zhang
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| | - Z H Chen
- Key Laboratory of Microbiology and Parasitology of Education Department of Guizhou, Guizhou Medical University, Guiyang 550004, China
| | - J Liao
- Stomatological Hospital of Guizhou Medical University, Guiyang 550001, China
| | - Z Z Guan
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| | - X L Qi
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| | - Q Wu
- Department of Clinical Laboratory, Shanghai 10th People's Hospital of Tongji University, Shanghai 200072, China
| | - Wei Hong
- Key Laboratory of Microbiology and Parasitology of Education Department of Guizhou, Guizhou Medical University, Guiyang 550004, China Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550001, China
| |
Collapse
|
14
|
Mi C, Guan M, Zhang X, Yang L, Wu S, Yang Z, Guo Z, Liao J, Zhou J, Lin F, Ma E, Jin D, Yuan X. High Spatial and Temporal Resolution NIR-IIb Gastrointestinal Imaging in Mice. Nano Lett 2022; 22:2793-2800. [PMID: 35324206 DOI: 10.1021/acs.nanolett.1c04909] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Conventional biomedical imaging modalities, including endoscopy, X-rays, and magnetic resonance, are invasive and insufficient in spatial and temporal resolutions for gastrointestinal (GI) tract imaging to guide prognosis and therapy. Here we report a noninvasive method based on lanthanide-doped nanocrystals with ∼1530 nm fluorescence in the near-infrared-IIb window (NIR-IIb, 1500-1700 nm). The rational design of nanocrystals have led to an absolute quantum yield (QY) up to 48.6%. Further benefiting from the minimized scattering through the NIR-IIb window, we enhanced the spatial resolution to ∼1 mm in GI tract imaging, which is ∼3 times higher compared with the near-infrared-IIa (NIR-IIa, 1000-1500 nm) method. The approach also realized a high temporal resolution of 8 frames per second; thus the moment of mice intestinal peristalsis can be captured. Furthermore, with a light-sheet imaging system, we demonstrated a three-dimensional (3D) imaging on the GI tract. Moreover, we successfully translated these advances to diagnose inflammatory bowel disease.
Collapse
Affiliation(s)
- Chao Mi
- Nanophotonics Research Center, Shenzhen Key Laboratory of Micro-Scale Optical Information Technology & Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Ming Guan
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Xun Zhang
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Liu Yang
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Sitong Wu
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhichao Yang
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhiyong Guo
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Fulin Lin
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China
- Xiamen Institute of Rare Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
| | - En Ma
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China
- Xiamen Institute of Rare Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
| | - Dayong Jin
- UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Xiaocong Yuan
- Nanophotonics Research Center, Shenzhen Key Laboratory of Micro-Scale Optical Information Technology & Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, Guangdong 518055, China
| |
Collapse
|
15
|
Geng X, Yang Z, Liao J, Mirkheshti N, Mehra R, Cullen K, Dan H. Targeting PI3Kα/δ and the ErbB Family of Protein-Tyrosine Kinases in Cisplatin-Resistant Head and Neck Squamous Cell Carcinomas. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2021.12.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
16
|
Liu Y, Lin G, Bao G, Guan M, Yang L, Liu Y, Wang D, Zhang X, Liao J, Fang G, Di X, Huang G, Zhou J, Cheng YY, Jin D. Stratified Disk Microrobots with Dynamic Maneuverability and Proton-Activatable Luminescence for in Vivo Imaging. ACS Nano 2021; 15:19924-19937. [PMID: 34714044 DOI: 10.1021/acsnano.1c07431] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Microrobots can expand our abilities to access remote, confined, and enclosed spaces. Their potential applications inside our body are obvious, e.g., to diagnose diseases, deliver medicine, and monitor treatment efficacy. However, critical requirements exist in relation to their operations in gastrointestinal environments, including resistance to strong gastric acid, responsivity to a narrow proton variation window, and locomotion in confined cavities with hierarchical terrains. Here, we report a proton-activatable microrobot to enable real-time, repeated, and site-selective pH sensing and monitoring in physiological relevant environments. This is achieved by stratifying a hydrogel disk to combine a range of functional nanomaterials, including proton-responsive molecular switches, upconversion nanoparticles, and near-infrared (NIR) emitters. By leveraging the 3D magnetic gradient fields and the anisotropic composition, the microrobot can be steered to locomote as a gyrating "Euler's disk", i.e., aslant relative to the surface and along its low-friction outer circumference, exhibiting a high motility of up to 60 body lengths/s. The enhanced magnetomotility can boost the pH-sensing kinetics by 2-fold. The fluorescence of the molecular switch can respond to pH variations with over 600-fold enhancement when the pH decreases from 8 to 1, and the integration of upconversion nanoparticles further allows both the efficient sensitization of NIR light through deep tissue and energy transfer to activate the pH probes. Moreover, the embedded down-shifting NIR emitters provide sufficient contrast for imaging of a single microrobot inside a live mouse. This work suggests great potential in developing multifunctional microrobots to perform generic site-selective tasks in vivo.
Collapse
Affiliation(s)
- Yuan Liu
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Gungun Lin
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Guochen Bao
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Ming Guan
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan Qu, Shenzhen 518055, China
| | - Liu Yang
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan Qu, Shenzhen 518055, China
| | - Yongtao Liu
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Dejiang Wang
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Xun Zhang
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan Qu, Shenzhen 518055, China
| | - Jiayan Liao
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Guocheng Fang
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Xiangjun Di
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Guan Huang
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Yuen Yee Cheng
- Asbestos Diseases Research Institute, Sydney, NSW 2139, Australia
| | - Dayong Jin
- Institute for Biomedical Materials & Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan Qu, Shenzhen 518055, China
| |
Collapse
|
17
|
Liu B, Liao J, Song Y, Chen C, Ding L, Lu J, Zhou J, Wang F. Multiplexed structured illumination super-resolution imaging with lifetime-engineered upconversion nanoparticles. Nanoscale Adv 2021; 4:30-38. [PMID: 36132948 PMCID: PMC9419758 DOI: 10.1039/d1na00765c] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 11/02/2021] [Indexed: 05/05/2023]
Abstract
The emerging optical multiplexing within nanoscale shows super-capacity in encoding information by using lifetime fingerprints from luminescent nanoparticles. However, the optical diffraction limit compromises the decoding accuracy and throughput of the nanoparticles during conventional widefield imaging. This, in turn, challenges the quality of nanoparticles to afford the modulated excitation condition and further retain the multiplexed optical fingerprints for super-resolution multiplexing. Here we report a tailor-made multiplexed super-resolution imaging method using the lifetime-engineered upconversion nanoparticles. We demonstrate that the nanoparticles are bright, uniform, and stable under structured illumination, which supports a lateral resolution of 185 nm, less than 1/4th of the excitation wavelength. We further develop a deep learning algorithm to coordinate with super-resolution images for more accurate decoding compared to a numeric algorithm. We demonstrate a three-channel super-resolution imaging based optical multiplexing with decoding accuracies above 93% for each channel and larger than 60% accuracy for potential seven-channel multiplexing. The improved resolution provides high throughput by resolving the particles within the diffraction-limited spots, which enables higher multiplexing capacity in space. This lifetime multiplexing super-resolution method opens a new horizon for handling the growing amount of information content, disease source, and security risk in modern society.
Collapse
Affiliation(s)
- Baolei Liu
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
- School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney NSW 2007 Australia
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
| | - Yiliao Song
- Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney NSW 2007 Australia
| | - Chaohao Chen
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
| | - Lei Ding
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
| | - Jie Lu
- Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney NSW 2007 Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
| | - Fan Wang
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney NSW 2007 Australia
- School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney NSW 2007 Australia
| |
Collapse
|
18
|
Liao J, Kwah J, Shafi S. M041 DRUG REACTION WITH EOSINOPHILIA AND SYSTEMIC SYMPTOMS SYNDROME CAUSED BY INTERMITTENT USE OF BUPROPION. Ann Allergy Asthma Immunol 2021. [DOI: 10.1016/j.anai.2021.08.215] [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: 12/01/2022]
|
19
|
Centorame A, Ondra M, Dumut D, Shah J, Liao J, Hanrahan J, Sanctis JD, Hajduch M, Radzioch D. 627: Investigation of pharmacological correction of F508del-CFTR protein during chronic infections. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02050-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
20
|
Ondra M, Centorame A, Dumut D, Liao J, Hanrahan J, De Sanctis J, Hajduch M, Radzioch D. 678: Design and validation of luminescent HTS tool for discovery and optimization of novel combination of CFTR correctors and modifiers. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02101-9] [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: 11/17/2022]
|
21
|
Liao J, Zhou J, Song Y, Liu B, Lu J, Jin D. Optical Fingerprint Classification of Single Upconversion Nanoparticles by Deep Learning. J Phys Chem Lett 2021; 12:10242-10248. [PMID: 34647739 DOI: 10.1021/acs.jpclett.1c02923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Highly controlled synthesis of upconversion nanoparticles (UCNPs) can be achieved in the heterogeneous design, so that a library of optical properties can be arbitrarily produced by depositing multiple lanthanide ions. Such a control offers the potential in creating nanoscale barcodes carrying high-capacity information. With the increasing creation of optical information, it poses more challenges in decoding them in an accurate, high-throughput, and speedy fashion. Here, we reported that the deep-learning approach can recognize the complexity of the optical fingerprints from different UCNPs. Under a wide-field microscope, the lifetime profiles of hundreds of single nanoparticles can be collected at once, which offers a sufficient amount of data to develop deep-learning algorithms. We demonstrated that high accuracies of over 90% can be achieved in classifying 14 kinds of UCNPs. This work suggests new opportunities in handling the diverse properties of nanoscale optical barcodes toward the establishment of vast luminescent information carriers.
Collapse
Affiliation(s)
- Jiayan Liao
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, NSW 2007, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, NSW 2007, Australia
| | - Yiliao Song
- Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Baolei Liu
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, NSW 2007, Australia
| | - Jie Lu
- Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, NSW 2007, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| |
Collapse
|
22
|
Yue Y, Chen H, Wang L, Du XB, Gao XF, Liao J, Zhou R, Chen ZH, Chen YZ, Huang WW, Huang XF, Hu M, Zhao CL, Du CH, Deng LL, Liang X, Liu Z. [Analysis on the imported Coronavirus Disease 2019 related cluster epidemic in rural areas of Chengdu]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1240-1244. [PMID: 34706511 DOI: 10.3760/cma.j.cn112150-20210421-00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
An epidemiological investigation was carried out on a local cluster of outbreak caused by imported cases of Coronavirus Disease 2019 (COVID-19) in rural areas of Chengdu in December 2020, to find out the source of infection and the chain of transmission. According to Prevention and Control Protocol for COVID-19 (Version 7), field epidemiological investigation was adopted, combined with big data technology, video image investigation, gene sequencing and other methods to carry out investigation into COVID-19 cases and infections source tracing, analyze the epidemiological association, and map the chain of transmission. From December 7 to 17, 2020, 13 local COVID-19 confirmed cases and 1 asymptomatic case were diagnosed in Chengdu, of which 12 cases (85.71%) had a history of residence and activity in the village courtyard of Taiping (TP), Pidu (P) District, Chengdu. From November 8, 2020 to November 28, 2020, a group of inbound people form Nepal were transferred to the designated entry personnel quarantine hotel of P District which was adjacent to the TP village. During quarantine, there were 5 cases who tested positive for COVID-19. Through gene sequencing alignment, genes of local cases and Nepalese imported cases from the same period are homologous, all belong to the lineage of L2.2.3 (B.1.36 according to Pangolin lineage typing method). According to the results of field epidemiological investigation and gene sequencing analysis, the index case was most likely infected by contact with household waste of quarantine site. Under the situation of normalization prevention and control of COVID-19, sentinel monitoring of fever clinics in primary medical institutions is the key to early detection of the epidemic. The multi-department joint epidemiological investigation and the application of gene technology are the core links of the investigation and traceability of modern infectious diseases. The allocation of public health resources in rural areas needs to be strengthened. We need to improve the capacity for early surveillance and early warning of the epidemic in rural areas.
Collapse
Affiliation(s)
- Y Yue
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - H Chen
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - L Wang
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - X B Du
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - X F Gao
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - J Liao
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - R Zhou
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Z H Chen
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Y Z Chen
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - W W Huang
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - X F Huang
- Pidu District Center for Disease Control and Prevention, Chengdu 611730, China Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - M Hu
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - C L Zhao
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - C H Du
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - L L Deng
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - X Liang
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Z Liu
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, China
| |
Collapse
|
23
|
Chen Y, Shimoni O, Huang G, Wen S, Liao J, Duong HTT, Maddahfar M, Su QP, Ortega DG, Lu Y, Campbell DH, Walsh BJ, Jin D. Upconversion nanoparticle-assisted single-molecule assay for detecting circulating antigens of aggressive prostate cancer. Cytometry A 2021; 101:400-410. [PMID: 34585823 DOI: 10.1002/cyto.a.24504] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/06/2021] [Accepted: 09/20/2021] [Indexed: 01/22/2023]
Abstract
Sensitive and quantitative detection of molecular biomarkers is crucial for the early diagnosis of diseases like metabolic syndrome and cancer. Here we present a single-molecule sandwich immunoassay by imaging the number of single nanoparticles to diagnose aggressive prostate cancer. Our assay employed the photo-stable upconversion nanoparticles (UCNPs) as labels to detect the four types of circulating antigens in blood circulation, including glypican-1 (GPC-1), leptin, osteopontin (OPN), and vascular endothelial growth factor (VEGF), as their serum concentrations indicate aggressive prostate cancer. Under a wide-field microscope, a single UCNP doped with thousands of lanthanide ions can emit sufficiently bright anti-Stokes' luminescence to become quantitatively detectable. By counting every single streptavidin-functionalized UCNP which specifically labeled on each sandwich immune complex across multiple fields of views, we achieved the Limit of Detection (LOD) of 0.0123 ng/ml, 0.2711 ng/ml, 0.1238 ng/ml, and 0.0158 ng/ml for GPC-1, leptin, OPN and VEGF, respectively. The serum circulating level of GPC-1, leptin, OPN, and VEGF in a mixture of 10 healthy normal human serum was 25.17 ng/ml, 18.04 ng/ml, 11.34 ng/ml, and 1.55 ng/ml, which was within the assay dynamic detection range for each analyte. Moreover, a 20% increase of GPC-1 and OPN was observed by spiking the normal human serum with recombinant antigens to confirm the accuracy of the assay. We observed no cross-reactivity among the four biomarker analytes, which eliminates the false positives and enhances the detection accuracy. The developed single upconversion nanoparticle-assisted single-molecule assay suggests its potential in clinical usage for prostate cancer detection by monitoring tiny concentration differences in a panel of serum biomarkers.
Collapse
Affiliation(s)
- Yinghui Chen
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Olga Shimoni
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Guan Huang
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Shihui Wen
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Hien T T Duong
- The School of Pharmacy, The University of Sydney, New South Wales, Australia
| | - Mahnaz Maddahfar
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - Qian Peter Su
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
| | - David Gallego Ortega
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Yanling Lu
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
- Minomic International Ltd, Macquarie Park, New South Wales, Australia
| | - Douglas H Campbell
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
- Minomic International Ltd, Macquarie Park, New South Wales, Australia
| | - Bradley J Walsh
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
- Minomic International Ltd, Macquarie Park, New South Wales, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia
- ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| |
Collapse
|
24
|
Liao J, Zhou J, Song Y, Liu B, Chen Y, Wang F, Chen C, Lin J, Chen X, Lu J, Jin D. Preselectable Optical Fingerprints of Heterogeneous Upconversion Nanoparticles. Nano Lett 2021; 21:7659-7668. [PMID: 34406016 DOI: 10.1021/acs.nanolett.1c02404] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
The control in optical uniformity of single nanoparticles and tuning their diversity in multiple dimensions, dot to dot, holds the key to unlocking nanoscale applications. Here we report that the entire lifetime profile of the single upconversion nanoparticle (τ2 profile) can be resolved by confocal, wide-field, and super-resolution microscopy techniques. The advances in both spatial and temporal resolutions push the limit of optical multiplexing from microscale to nanoscale. We further demonstrate that the time-domain optical fingerprints can be created by utilizing nanophotonic upconversion schemes, including interfacial energy migration, concentration dependency, energy transfer, and isolation of surface quenchers. We exemplify that three multiple dimensions, including the excitation wavelength, emission color, and τ2 profile, can be built into the nanoscale derivative τ2-dots. Creating a vast library of individually preselectable nanotags opens up a new horizon for diverse applications, spanning from sub-diffraction-limit data storage to high-throughput single-molecule digital assays and super-resolution imaging.
Collapse
Affiliation(s)
- Jiayan Liao
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Jiajia Zhou
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Yiliao Song
- Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Baolei Liu
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Yinghui Chen
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Fan Wang
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Chaohao Chen
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Jun Lin
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, People's Republic of China
| | - Xueyuan Chen
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures and Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, People's Republic of China
| | - Jie Lu
- Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales 2007, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, People's Republic of China
| |
Collapse
|
25
|
Bierma M, Goff P, Hippe D, Lachance K, Schaub S, Tseng Y, Apisarnthanarax S, Liao J, Parvathaneni U, Nghiem P. LB759 Post-operative radiation therapy to prevent local recurrence of low-risk Merkel cell carcinomas of the head and neck versus other sites. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.07.101] [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]
|
26
|
Lee WT, Ng KW, Liao J, Luk ACS, Suen HC, Chan THT, Cheung MY, Chu D, Zhao M, Chan YL, Li TC, Lee TL. P–547 Single-cell RNA sequencing identifies molecular regulations associated with poor maturation performance on rescue in vitro matured oocytes. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.546] [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: 11/12/2022] Open
Abstract
Abstract
Study question
What is the transcriptome signature associated with rescuein vitro matured (rIVM) oocytes?
Summary answer
GATA–1/CREB1/WNT signaling axis was repressed in rIVM oocytes of poor quality.
What is known already
rIVM aims to produce mature oocytes (MII) for in vitro fertilization (IVF) through IVM of immature oocytes collected from stimulated ovaries. It is less popular due to limited success rate in infertility treatment. Genetic aberrations, cellular stress, and the absence of cumulus cell support in oocytes could account for the failure of rIVM.
Study design, size, duration
We applied single-cell RNA sequencing (scRNA-seq) to capture the transcriptomes of human in vivo (IVO) oocytes (n = 10) from 7 donors and rIVM oocytes (n = 10) from 10 donors, followed by studying the maternal age effect and ovarian responses on rIVM oocyte transcriptomes.
Participants/materials, setting, methods
Human oocytes were collected from donors aged 28–41 years with a body mass index of < 30. RNA extraction, cDNA generation, library construction and sequencing were performed in one preparation. scRNA-seq data were then processed and analyzed. Selected genes in therIVM vs. IVO comparison were validated by quantitative real-time PCR.
Main results and the role of chance
The transcriptome profiles of rIVM/IVO showed distinctive differences. A total of 1559 differentially expressed genes (DEGs, genes with at least two-fold change and adjusted p < 0.05) were found to be enriched in metabolic processes, biosynthesis, and oxidative phosphorylation. Among these DEGs, we identified a repression of WNT/β-catenin signaling in rIVM when compared with IVO oocytes. We found that estradiol level exhibited a significant age-independent correlation with the IVO mature oocyte ratio (MII ratio). rIVM oocytes with higher MII ratio showed over-represented cellular processes such as anti-apoptosis. To further identify targets that contribute to the poor outcomes of rIVM, we compared oocytes collected from young donors with high MII ratio versus donors of advanced maternal age and revealed CREB1was an important regulator in rIVM. Our study identified GATA–1/CREB1/WNT signaling was repressed in both rIVM condition and rIVM oocytes of low-quality.
Limitations, reasons for caution
In the rIVM oocytes of high- and low-quality comparison, the number of samples was limited after data filtering with stringent selection criteria. For the oocyte stage identification, we were unable to predict the presence of oocyte spindle so polar body extrusion was the only indicator.
Wider implications of the findings: This study showed that GATA–1/CREB1/WNT signaling and antioxidant actions were repressed in rIVM condition and was further downregulated in rIVM oocytes of low-quality, providing us the foundation of subsequent follow-up research on human subjects.
Trial registration number
Not applicable
Collapse
Affiliation(s)
- W T Lee
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - K W Ng
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - J Liao
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - A C S Luk
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - H C Suen
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - T H T Chan
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - M Y Cheung
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - D Chu
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| | - M Zhao
- The Chinese University of Hong Kong, Department of Obstetrics and Gynaecology, Hong Kong, Hong Kong
| | - Y L Chan
- The Chinese University of Hong Kong, Department of Obstetrics and Gynaecology, Hong Kong, Hong Kong
| | - T C Li
- The Chinese University of Hong Kong, Department of Obstetrics and Gynaecology, Hong Kong, Hong Kong
| | - T L Lee
- The Chinese University of Hong Kong, School of Biomedical Sciences, Hong Kong, Hong Kong
| |
Collapse
|
27
|
Lee AWT, Ng JKW, Liao J, Luk AC, Suen AHC, Chan TTH, Cheung MY, Chu HT, Tang NLS, Zhao MP, Lian Q, Chan WY, Chan DYL, Leung TY, Chow KL, Wang W, Wang LH, Chen NCH, Yang WJ, Huang JY, Li TC, Lee TL. Single-cell RNA sequencing identifies molecular targets associated with poor in vitro maturation performance of oocytes collected from ovarian stimulation. Hum Reprod 2021; 36:1907-1921. [PMID: 34052851 DOI: 10.1093/humrep/deab100] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 10/12/2020] [Revised: 03/08/2021] [Indexed: 12/14/2022] Open
Abstract
STUDY QUESTION What is the transcriptome signature associated with poor performance of rescue IVM (rIVM) oocytes and how can we rejuvenate them? SUMMARY ANSWER The GATA-1/CREB1/WNT signalling axis was repressed in rIVM oocytes, particularly those of poor quality; restoration of this axis may produce more usable rIVM oocytes. WHAT IS KNOWN ALREADY rIVM aims to produce mature oocytes (MII) for IVF through IVM of immature oocytes collected from stimulated ovaries. It is not popular due to limited success rate in infertility treatment. Genetic aberrations, cellular stress and the absence of cumulus cell support in oocytes could account for the failure of rIVM. STUDY DESIGN, SIZE, DURATION We applied single-cell RNA sequencing (scRNA-seq) to capture the transcriptomes of human in vivo oocytes (IVO) (n = 10) from 7 donors and rIVM oocytes (n = 10) from 10 donors. The effects of maternal age and ovarian responses on rIVM oocyte transcriptomes were also studied. In parallel, we studied the effect of gallic acid on the maturation rate of mouse oocytes cultured in IVM medium with (n = 84) and without (n = 85) gallic acid. PARTICIPANTS/MATERIALS, SETTING, METHODS Human oocytes were collected from donors aged 28-41 years with a body mass index of <30. RNA extraction, cDNA generation, library construction and sequencing were performed in one preparation. scRNA-seq data were then processed and analysed. Selected genes in the rIVM versus IVO comparison were validated by quantitative real-time PCR. For the gallic acid study, we collected immature oocytes from 5-month-old mice and studied the effect of 10-μM gallic acid on their maturation rate. MAIN RESULTS AND THE ROLE OF CHANCE The transcriptome profiles of rIVM/IVO oocytes showed distinctive differences. A total of 1559 differentially expressed genes (DEGs, genes with at least 2-fold change and adjusted P < 0.05) were found to be enriched in metabolic processes, biosynthesis and oxidative phosphorylation. Among these DEGs, we identified a repression of WNT/β-catenin signalling in rIVM when compared with IVO oocytes. We found that oestradiol levels exhibited a significant age-independent correlation with the IVO mature oocyte ratio (MII ratio) for each donor. rIVM oocytes from women with a high MII ratio were found to have over-represented cellular processes such as anti-apoptosis. To further identify targets that contribute to the poor clinical outcomes of rIVM, we compared oocytes collected from young donors with a high MII ratio with oocytes from donors of advanced maternal age and lower MII ratio, and revealed that CREB1 is an important regulator. Thus, our study identified that GATA-1/CREB1/WNT signalling was repressed in both rIVM oocytes versus IVO oocytes and in rIVM oocytes of lower versus higher quality. Consequently we investigated gallic acid, as a potential antioxidant substrate in human rIVM medium, and found that it increased the mouse oocyte maturation rate by 31.1%. LARGE SCALE DATA Raw data from this study can be accessed through GSE158539. LIMITATIONS, REASONS FOR CAUTION In the rIVM oocytes of the high- and low-quality comparison, the number of samples was limited after data filtering with stringent selection criteria. For the oocyte stage identification, we were unable to predict the presence of oocyte spindle, so polar body extrusion was the only indicator. WIDER IMPLICATIONS OF THE FINDINGS This study showed that GATA-1/CREB1/WNT signalling was repressed in rIVM oocytes compared with IVO oocytes and was further downregulated in low-quality rIVM oocytes, providing us the foundation of subsequent follow-up research on human oocytes and raising safety concerns about the clinical use of rescued oocytes. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Collaborative Research Fund, Research Grants Council, C4054-16G, and Research Committee Funding (Research Sustainability of Major RGC Funding Schemes), The Chinese University of Hong Kong. The authors have no conflicts of interest to declare.
Collapse
Affiliation(s)
- A W T Lee
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - J K W Ng
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - J Liao
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - A C Luk
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - A H C Suen
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - T T H Chan
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - M Y Cheung
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - H T Chu
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - N L S Tang
- Department of Chemical Pathology, and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - M P Zhao
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - Q Lian
- Department of Medicine, The University of Hong Kong, Hong Kong SAR, PR China
| | - W Y Chan
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - D Y L Chan
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - T Y Leung
- Department of Medicine, The University of Hong Kong, Hong Kong SAR, PR China
| | - K L Chow
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, N.T., Hong Kong SAR, PR China.,Division of Life Science, Hong Kong University of Science and Technology, Shatin, N.T., Hong Kong SAR, PR China
| | - W Wang
- Department of Obstetrics and Gynecology, IVF Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - L H Wang
- Institute of Molecular and Cellular Biology & Department of Medical Sciences, National Tsing Hua University, Hsinchu, Taiwan
| | - N C H Chen
- Department of Infertility and Reproductive Medicine, Taiwan IVF Group Center, Hsinchu City, Taiwan
| | - W J Yang
- Department of Infertility and Reproductive Medicine, Taiwan IVF Group Center, Hsinchu City, Taiwan
| | - J Y Huang
- Department of Infertility and Reproductive Medicine, Taiwan IVF Group Center, Hsinchu City, Taiwan
| | - T C Li
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| | - T L Lee
- Developmental and Regenerative Biology Program, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, PR China
| |
Collapse
|
28
|
Tian X, Li X, Yu Q, Zhao H, Liao J. Asymmetric expression patterns of B- and C-class MADS-box genes correspond to the asymmetrically specified androecial identities of Canna indica. Plant Biol (Stuttg) 2021; 23:540-545. [PMID: 33342001 DOI: 10.1111/plb.13231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
Canna indica is a common ornamental plant with asymmetric flowers having colourful petaloid staminodes. The only fertile stamen comprises a one-theca anther and a petaloid appendage and represents the lowest stamen number in the order Zingiberales. The molecular mechanism for the asymmetric androecial petaloidy remains poorly understood. Here, we studied the identity specification in Canna stamen. We observed four types of abnormal flower in terms of androecium identity transformation and analysed the corresponding floral symmetry changes. We further tested the expression patterns of B- and C-class MADS-box genes using in situ hybridization in normal Canna stamen. Homeotic conversions in the androecium were accompanied by floral symmetry changes, and the asymmetric stamen is key in contributing to the floral asymmetry. Both B- and C-class genes exhibited higher expression levels in the anther primordium than in other androecial parts. This asymmetric expression pattern precisely corresponded to the asymmetric identities of the Canna androecium. We identified C. indica as a model species for studying androecial organ identity and floral symmetry synthetically in Zingiberales. We hypothesized that homeotic genes specify floral organ identity in a putative dose-dependent manner. The results add to the current understanding of organ identity-related floral symmetry.
Collapse
Affiliation(s)
- X Tian
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - X Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Q Yu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China
| | - H Zhao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China
- Xinxing Vocational School of Traditional Chinese Medicine, Xinxing, Guangdong, China
| | - J Liao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China
| |
Collapse
|
29
|
Wang B, Chan YL, Li G, Ho KF, Anwer AG, Smith BJ, Guo H, Jalaludin B, Herbert C, Thomas PS, Liao J, Chapman DG, Foster PS, Saad S, Chen H, Oliver BG. Maternal Particulate Matter Exposure Impairs Lung Health and Is Associated with Mitochondrial Damage. Antioxidants (Basel) 2021; 10:antiox10071029. [PMID: 34202305 PMCID: PMC8300816 DOI: 10.3390/antiox10071029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 11/16/2022] Open
Abstract
Relatively little is known about the transgenerational effects of chronic maternal exposure to low-level traffic-related air pollution (TRAP) on the offspring lung health, nor are the effects of removing such exposure before pregnancy. Female BALB/c mice were exposed to PM2.5 (PM2.5, 5 µg/day) for 6 weeks before mating and during gestation and lactation; in a subgroup, PM was removed when mating started to model mothers moving to cleaner areas during pregnancy to protect their unborn child (Pre-exposure). Lung pathology was characterised in both dams and offspring. A subcohort of female offspring was also exposed to ovalbumin to model allergic airways disease. PM2.5 and Pre-exposure dams exhibited airways hyper-responsiveness (AHR) with mucus hypersecretion, increased mitochondrial reactive oxygen species (ROS) and mitochondrial dysfunction in the lungs. Female offspring from PM2.5 and Pre-exposure dams displayed AHR with increased lung inflammation and mitochondrial ROS production, while males only displayed increased lung inflammation. After the ovalbumin challenge, AHR was increased in female offspring from PM2.5 dams compared with those from control dams. Using an in vitro model, the mitochondria-targeted antioxidant MitoQ reversed mitochondrial dysfunction by PM stimulation, suggesting that the lung pathology in offspring is driven by dysfunctional mitochondria. In conclusion, chronic exposure to low doses of PM2.5 exerted transgenerational impairment on lung health.
Collapse
Affiliation(s)
- Baoming Wang
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Yik-Lung Chan
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Gerard Li
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
| | - Kin Fai Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China;
| | - Ayad G. Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Faculty of Engineering, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia;
| | - Bradford J. Smith
- Department of Bioengineering, Department of Paediatric Pulmonary and Sleep Medicine, School of Medicine, University of Colorado, Boulder, CO 80309, USA;
| | - Hai Guo
- Air Quality Studies, Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China;
| | - Bin Jalaludin
- Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, NSW 2052, Australia;
- Centre for Air Pollution, Energy and Health Research (CAR), Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Cristan Herbert
- Department of Pathology, Faculty of Medicine, School of Medical Sciences, Prince of Wales’ Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (C.H.); (P.S.T.)
| | - Paul S. Thomas
- Department of Pathology, Faculty of Medicine, School of Medical Sciences, Prince of Wales’ Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (C.H.); (P.S.T.)
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, Ultimo, NSW 2007, Australia;
| | - David G. Chapman
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Paul S. Foster
- Priority Research Centre for Healthy Lungs, University of Newcastle, Callaghan, NSW 2308, Australia;
| | - Sonia Saad
- Renal Group, Kolling Institute of Medical Research, The University of Sydney, St Leonards, Sydney, NSW 2064, Australia;
| | - Hui Chen
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
| | - Brian G. Oliver
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
- Correspondence:
| |
Collapse
|
30
|
Wang B, Chen H, Xenaki D, Liao J, Cowie C, Oliver BG. Differential inflammatory and toxic effects in-vitro of wood smoke and traffic-related particulate matter from Sydney, Australia. Chemosphere 2021; 272:129616. [PMID: 33482518 DOI: 10.1016/j.chemosphere.2021.129616] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/05/2021] [Accepted: 01/08/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND It is well known that PM2.5 generated by traffic or burning wood is pro-inflammatory and induces various adverse health outcomes in humans. In Sydney, New South Wales, Australia, the main anthropogenic contributors to particulate matter (PM) air pollution are wood combustion heaters, on-road vehicles, and coal-fired power stations. However, the relative toxicity of these local sources has not to date been investigated. METHOD PM2.5 was collected on filters from the same sampling site in Liverpool, one suburb of Sydney. According to the positive matrix factorisation and collection season, filters were representative of either day with high traffic-related air pollution (TRAP), wood smoke, or both TRAP and woodsmoke (mixed air pollution). The elemental composition of the PM was assessed by accelerator-based ion beam analysis techniques (i.e. PIXE & PIGE) and size by Dynamic Light Scattering. Toxicity and inflammation were assessed in-vitro in human bronchial epithelial cells by measuring interleukin-6 (IL-6), interleukin-8 (IL-8) release, and MTT. RESULTS Mixed air pollution (TRAP/wood smoke) PM had more nanometer (nm) sized PM than the other two groups. Using an in-vitro model of the lungs, the mixed air pollution PM was the most toxic, whereas the PM from woodsmoke induced greater IL-6 release than TRAP PM. There was no difference in the induction of IL-8 between the three sources of PM. CONCLUSION Marked differences occur in the cellular response to PM from different sources, with differences in both toxicity and inflammation.
Collapse
Affiliation(s)
- Baoming Wang
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia; Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia
| | - Hui Chen
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Dia Xenaki
- Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, NSW, 2007, Australia
| | - Christine Cowie
- Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia; South West Sydney Clinical School, University of New South Wales, Liverpool, New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia
| | - Brian G Oliver
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia; Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia.
| |
Collapse
|
31
|
Chen C, Liu B, Liu Y, Liao J, Shan X, Wang F, Jin D. Heterochromatic Nonlinear Optical Responses in Upconversion Nanoparticles for Super-Resolution Nanoscopy. Adv Mater 2021; 33:e2008847. [PMID: 33864638 DOI: 10.1002/adma.202008847] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/03/2021] [Indexed: 05/22/2023]
Abstract
Point spread function (PSF) engineering by an emitter's response can code higher-spatial-frequency information of an image for microscopy to achieve super-resolution. However, complexed excitation optics or repetitive scans are needed, which explains the issues of low speed, poor stability, and operational complexity associated with the current laser scanning microscopy approaches. Here, the diverse emission responses of upconversion nanoparticles (UCNPs) are reported for super-resolution nanoscopy to improve the imaging quality and speed. The method only needs a doughnut-shaped scanning excitation beam at an appropriate power density. By collecting the four-photon emission of single UCNPs, the high-frequency information of a super-resolution image can be resolved through the doughnut-emission PSF. Meanwhile, the two-photon state of the same nanoparticle is oversaturated, so that the complementary lower-frequency information of the super-resolution image can be simultaneously collected by the Gaussian-like emission PSF. This leads to a method of Fourier-domain heterochromatic fusion, which allows the extended capability of the engineered PSFs to cover both low- and high-frequency information to yield optimized image quality. This approach achieves a spatial resolution of 40 nm, 1/24th of the excitation wavelength. This work suggests a new scope for developing nonlinear multi-color emitting probes in super-resolution nanoscopy.
Collapse
Affiliation(s)
- Chaohao Chen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Baolei Liu
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Yongtao Liu
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Xuchen Shan
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Fan Wang
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Dayong Jin
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| |
Collapse
|
32
|
Zhang T, Li W, Qiu X, Liu B, Li G, Feng C, Liao J, Lin K. [CRISPR/Cas9-mediated TEAD1 knockout induces phenotypic modulation of corpus cavernosum smooth muscle cells in diabetic rats with erectile dysfunction]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:567-573. [PMID: 33963717 DOI: 10.12122/j.issn.1673-4254.2021.04.13] [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: 11/24/2022]
Abstract
OBJECTIVE To construct a corpus cavemosum smooth muscle cell (CCSMCs) line with TEAD1 knockout from diabetic rats with erectile dysfunction (ED) using CRISPR/Cas9 technology and explore the role of TEAD1 in phenotypic modulation of CCSMCs in diabetic rats with ED. OBJECTIVE Models of diabetic ED were established in male Sprague-Dawley rats by intraperitoneal injection of streptozotocin. CCSMCs from the rat models were primarily cultured and identified with immunofluorescence assay. Three sgRNAs (sgRNA-1, sgRNA-2 and sgRNA-3) were transfected via lentiviral vectors into 293T cells to prepare the sgRNA-Cas9 lentivirus. CCSMCs from diabetic rats with ED were infected by the lentivirus, and the cellular expression of TEAD1 protein was detected using Western blotting. In CCSMCs infected with the sgRNA-Cas9 lentivirus (CCSMCs-sgRNA-2), or the empty lentiviral vector (CCSMCs-sgRNA-NC) and the blank control cells (CCSMCs-CK), the expressions of cellular phenotypic markers SMMHC, calponin and PCNA at the mRNA and protein levels were detected using real-time fluorescence quantitative RT-PCR (qRT-PCR) and Western blotting, respectively. OBJECTIVE The primarily cultured CCSMCs from diabetic rats with ED showed a high α-SMA-positive rate of over 95%. The recombinant lentivirus of TEAD1-sgRNA was successfully packaged, and stable TEAD1-deficient CCSMC lines derived from diabetic rat with ED were obtained. Western blotting confirmed that the protein expression of TEAD1 in TEAD1-sgRNA-2 group was the lowest (P < 0.05), and this cell line was used in subsequent experiment. The results of qRT-PCR and Western blotting showed significantly up-regulated expressions of SMMHC and calponin (all P < 0.05) and down-regulated expression of PCNA (all P < 0.05) at both the mRNA and protein levels in TEAD1-deficient CCSMCs from diabetic rats with ED. OBJECTIVE We successfully constructed a stable CCSMCs line with CRISPR/Cas9-mediated TEAD1 knockout from diabetic rats with ED. TEAD1 gene knockout can induce phenotype transformation of the CCSMCs from diabetic rats with ED from the synthetic to the contractile type.
Collapse
Affiliation(s)
- T Zhang
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - W Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Qiu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - B Liu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - G Li
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - C Feng
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - J Liao
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - K Lin
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| |
Collapse
|
33
|
Shan X, Wang F, Wang D, Wen S, Chen C, Di X, Nie P, Liao J, Liu Y, Ding L, Reece PJ, Jin D. Optical tweezers beyond refractive index mismatch using highly doped upconversion nanoparticles. Nat Nanotechnol 2021; 16:531-537. [PMID: 33603239 DOI: 10.1038/s41565-021-00852-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 01/14/2021] [Indexed: 05/28/2023]
Abstract
Optical tweezers are widely used in materials assembly1, characterization2, biomechanical force sensing3,4 and the in vivo manipulation of cells5 and organs6. The trapping force has primarily been generated through the refractive index mismatch between a trapped object and its surrounding medium. This poses a fundamental challenge for the optical trapping of low-refractive-index nanoscale objects, including nanoparticles and intracellular organelles. Here, we report a technology that employs a resonance effect to enhance the permittivity and polarizability of nanocrystals, leading to enhanced optical trapping forces by orders of magnitude. This effectively bypasses the requirement of refractive index mismatch at the nanoscale. We show that under resonance conditions, highly doping lanthanide ions in NaYF4 nanocrystals makes the real part of the Clausius-Mossotti factor approach its asymptotic limit, thereby achieving a maximum optical trap stiffness of 0.086 pN μm-1 mW-1 for 23.3-nm-radius low-refractive-index (1.46) nanoparticles, that is, more than 30 times stronger than the reported value for gold nanoparticles of the same size. Our results suggest a new potential of lanthanide doping for the optical control of the refractive index of nanomaterials, developing the optical force tag for the intracellular manipulation of organelles and integrating optical tweezers with temperature sensing and laser cooling7 capabilities.
Collapse
Affiliation(s)
- Xuchen Shan
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Fan Wang
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia.
- School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia.
| | - Dejiang Wang
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Shihui Wen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Chaohao Chen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Xiangjun Di
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Peng Nie
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jiayan Liao
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Yongtao Liu
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Lei Ding
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Peter J Reece
- School of Physics, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Dayong Jin
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia.
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
| |
Collapse
|
34
|
Liao J, Li Y, Deng J, Li H, Wang W, Zhang D, Wang J, Zhang L, Xie M. Response to: Rationale of bedside ultrasound-guided inferior vena cava filter implantation in COVID-19 patients with deep venous thrombosis. QJM 2021; 114:148-149. [PMID: 33515258 PMCID: PMC7928591 DOI: 10.1093/qjmed/hcaa338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Indexed: 11/15/2022] Open
Affiliation(s)
- J Liao
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Y Li
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - J Deng
- Department of Cardiovascular Imaging, St Bartholomew's Hospital, London, UK
| | - H Li
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - W Wang
- Department of vascular surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - D Zhang
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - J Wang
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - L Zhang
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - M Xie
- From the Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- Address correspondence to M. Xie, Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| |
Collapse
|
35
|
Liu X, Wang Y, Qin Q, Zhang L, Liao J, Li Q, Jiang B. P32.02 Cohort Study of Rehabilitation Quality in Patients With U-VATS and M-VATS Lobectomy. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.663] [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]
|
36
|
Wu FF, Chen XX, Wei GF, Lin SR, Liao J, Lin WN. [One case of removal of complex esophageal foreign body guided by ultrasound gastroscope]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2021; 56:79-80. [PMID: 33472307 DOI: 10.3760/cma.j.cn115330-20200520-00426] [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: 11/05/2022]
Affiliation(s)
- F F Wu
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - X X Chen
- Department of Gastroscopy, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - G F Wei
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - S R Lin
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - J Liao
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - W N Lin
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China
| |
Collapse
|
37
|
Akerib D, Alsum S, Araújo H, Bai X, Balajthy J, Baxter A, Bernard E, Bernstein A, Biesiadzinski T, Boulton E, Boxer B, Brás P, Burdin S, Byram D, Carmona-Benitez M, Chan C, Cutter J, de Viveiros L, Druszkiewicz E, Fan A, Fiorucci S, Gaitskell R, Ghag C, Gilchriese M, Gwilliam C, Hall C, Haselschwardt S, Hertel S, Hogan D, Horn M, Huang D, Ignarra C, Jacobsen R, Jahangir O, Ji W, Kamdin K, Kazkaz K, Khaitan D, Korolkova E, Kravitz S, Kudryavtsev V, Leason E, Lenardo B, Lesko K, Liao J, Lin J, Lindote A, Lopes M, Manalaysay A, Mannino R, Marangou N, McKinsey D, Mei DM, Moongweluwan M, Morad J, Murphy A, Naylor A, Nehrkorn C, Nelson H, Neves F, Nilima A, Oliver-Mallory K, Palladino K, Pease E, Riffard Q, Rischbieter G, Rhyne C, Rossiter P, Shaw S, Shutt T, Silva C, Solmaz M, Solovov V, Sorensen P, Sumner T, Szydagis M, Taylor D, Taylor R, Taylor W, Tennyson B, Terman P, Tiedt D, To W, Tvrznikova L, Utku U, Uvarov S, Vacheret A, Velan V, Webb R, White J, Whitis T, Witherell M, Wolfs F, Woodward D, Xu J, Zhang C. Discrimination of electronic recoils from nuclear recoils in two-phase xenon time projection chambers. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.112002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
38
|
Yu S, Wang G, Liao J, Chen X. A functional mutation in the AMPD1 promoter region affects promoter activity and breast meat freshness in chicken. Anim Genet 2020; 52:121-125. [PMID: 33226134 DOI: 10.1111/age.13025] [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: 08/06/2020] [Revised: 09/26/2020] [Accepted: 10/30/2020] [Indexed: 12/24/2022]
Abstract
Freshness is an important index to determine the quality deterioration (protein degradation and changes in appearance) of chilled chicken meat and is a primary consideration of consumers. Adenosine monophosphate deaminase 1 (AMPD1) catalyzes the deamination of adenosine monophosphate to inosine monophosphate in skeletal muscle and is the rate-limiting step in the purine nucleotide cycle. Inosine monophosphate is regarded as an important indicator of meat freshness in chicken. This study investigated the association of polymorphisms in the chicken AMPD1 promoter region with meat freshness during freezing storage. An SNP (c. -905G>A) was found to be associated with the freshness (K-value) of chicken breast meat. Chickens with the AA genotype had significantly lower K-values than those with GG and AG genotypes (P < 0.01). Individuals with the AA genotype also had higher breast meat AMPD1 mRNA levels than did those with the GG and AG genotypes (P < 0.01, P < 0.05). A luciferase assay revealed that genotype AA had greater transcriptional activity than genotype GG. Transcription factor binding site analysis identified distinct putative transcription factor binding sites in the two alleles of mutation site c. -905. In summary, we identified an SNP (c. -905G>A) in the promoter region of the AMPD1 gene that may modulate the binding affinity of different transcription factors to control AMPD1 expression and affect the freshness K-value of chicken meat.
Collapse
Affiliation(s)
- S Yu
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, 614000, China
| | - G Wang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, 614000, China
| | - J Liao
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, 614000, China
| | - X Chen
- Leshan Academy of Agricultural Sciences, Leshan, 614000, China
| |
Collapse
|
39
|
Joshi M, Zakharia Y, Kaag M, Kilari D, Holder S, Emamekhoo H, Sankin A, Liao J, Merrill S, DeGraff D, Zheng H, Warrick J, Hauke R, Gartrell B, Stein M, Drabick J, Tuanquin L. Concurrent Durvalumab And Radiation Therapy (DUART) followed by Adjuvant Durvalumab in Patients with Localized Urothelial Cancer of Bladder: BTCRC-GU15-023. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
40
|
Liao J, Dong LP. Linc00261 suppresses growth and metastasis of non-small cell lung cancer via repressing epithelial-mesenchymal transition. Eur Rev Med Pharmacol Sci 2020; 23:3829-3837. [PMID: 31115010 DOI: 10.26355/eurrev_201905_17810] [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 Long non-coding RNAs (lncRNAs) have been identified to participate in the development and progression of various types of cancers, including non-small cell lung cancer (NSCLC). However, the expression and function of linc00261 in NSCLC has not been studied yet. We aim to explore the role and potential of linc00261 in NSCLC tumorigenesis. PATIENTS AND METHODS The expression level of linc00261 in 71 paired of NSCLC tissues and matched normal tissues, was detected using quantitative Real-time polymerase chain reaction (qRT-PCR). Linc00261 expression in NSCLC cells was also measured. NSCLC cells were transfected with pcDNA3.1 or siRNA linc00261 to upregulate or downregulate linc00261 expression, respectively. MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay and colony formation assay were utilized for examining the proliferative ability of NSCLC cells. Wound-healing and transwell assays were performed for detecting the metastatic ability of NSCLC cells. Protein levels of epithelial-mesenchymal transition markers were detected by Western blot. Furthermore, in vivo function of linc00261 was evaluated using the nude mice. RESULTS Linc00261 expressed significantly lower in NSCLC tissues and cell lines than that in the adjacent normal tissues or control cell line. Over-expression of linc00261 significantly inhibited proliferation, invasion and migration of NSCLC cells. On the contrast, knockdown of linc00261 promoted cell growth and metastasis of NSCLC cells. Furthermore, linc00261 inhibited the epithelial-mesenchymal transition of NSCLC via downregulating Snail. Linc00261 could slow down the growth of xenograft of NSCLC in vivo. CONCLUSIONS We demonstrated that linc00261 was lowly expressed in NSCLC tissues and cells. It inhibited cell proliferation and metastasis by downregulating Snail expression via EMT. This might provide a novel sight for the biological treatment for NSCLC.
Collapse
Affiliation(s)
- J Liao
- Department of Thoracic Surgery, Yantaishan Hospital, Yantai, China.
| | | |
Collapse
|
41
|
Abstract
1. Muchuan black-bone chicken is well known in China for its meat quality and medicinal properties; however, its egg-laying performance is not ideal. To better understand the molecular mechanisms of black-boned chicken egg-laying, high-throughput RNA sequencing was performed to compare differences in the pituitary transcriptome between three high-rate (group H) and three low-rate (group L) egg production chickens. 2. In total, 171 differentially expressed genes (DEGs) were identified between the two groups, of which 113 were upregulated and 58 were downregulated in group L. Some of these genes are known to be related to hormone secretion or the regulation of reproductive processes; these include prolactin-releasing hormone (PRLH), distal-less homeobox 6 (DLX6), interferon regulatory factor 4 (IRF4), and cilia and flagella associated protein 69 (CFAP69). Notably, expression pattern analysis indicated that both PRLH and DLX6 may influence egg-laying performance. 3. The dataset provided a foundation for discovering important genes and pathways involved in the chicken egg-laying process, and may help to improve understanding of the molecular mechanisms of chicken reproduction.
Collapse
Affiliation(s)
- S Yu
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - G Wang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - J Liao
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - M Tang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - J Chen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| |
Collapse
|
42
|
Liao J, Wang R, Mishra A, Emanuel E, Zhu J, Cousins D, Navathe A. Spillover Effects of the Comprehensive Care for Joint Replacement Program Among Non‐Medicare Patients. Health Serv Res 2020. [DOI: 10.1111/1475-6773.13506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- J. Liao
- Department of Medicine University of Washington Seattle WA United States
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA United States
| | - R. Wang
- University of Pennsylvania Philadelphia PA United States
| | - A. Mishra
- Department of Medical Ethics and Health Policy University of Pennsylvania Philadelphia PA United States
| | - E. Emanuel
- Department of Medical Ethics and Health Policy University of Pennsylvania Philadelphia PA United States
| | - J. Zhu
- University of Pennsylvania Philadelphia PA United States
| | - D. Cousins
- Department of Medical Ethics and Health Policy University of Pennsylvania Philadelphia PA United States
| | - A. Navathe
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA United States
- University of Pennsylvania Philadelphia PA United States
| |
Collapse
|
43
|
Liu B, Chen C, Di X, Liao J, Wen S, Su QP, Shan X, Xu ZQ, Ju LA, Mi C, Wang F, Jin D. Upconversion Nonlinear Structured Illumination Microscopy. Nano Lett 2020; 20:4775-4781. [PMID: 32208705 DOI: 10.1021/acs.nanolett.0c00448] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Video-rate super-resolution imaging through biological tissue can visualize and track biomolecule interplays and transportations inside cellular organisms. Structured illumination microscopy allows for wide-field super resolution observation of biological samples but is limited by the strong extinction of light by biological tissues, which restricts the imaging depth and degrades its imaging resolution. Here we report a photon upconversion scheme using lanthanide-doped nanoparticles for wide-field super-resolution imaging through the biological transparent window, featured by near-infrared and low-irradiance nonlinear structured illumination. We demonstrate that the 976 nm excitation and 800 nm upconverted emission can mitigate the aberration. We found that the nonlinear response of upconversion emissions from single nanoparticles can effectively generate the required high spatial frequency components in the Fourier domain. These strategies lead to a new modality in microscopy with a resolution below 131 nm, 1/7th of the excitation wavelength, and an imaging rate of 1 Hz.
Collapse
Affiliation(s)
- Baolei Liu
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, Sydney, NSW 2007, Australia
| | - Chaohao Chen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Xiangjun Di
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Jiayan Liao
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Shihui Wen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Qian Peter Su
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Xuchen Shan
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Zai-Quan Xu
- School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, Sydney, NSW 2007, Australia
| | - Lining Arnold Ju
- School of Biomedical Engineering, Faculty of Engineering and Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia
- Heart Research Institute, Newtown, NSW 2042, Australia
| | - Chao Mi
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Fan Wang
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Dayong Jin
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| |
Collapse
|
44
|
Yu S, Wang G, Liao J, Tang M, Chen J. Identification of key microRNAs affecting melanogenesis of breast muscle in Muchuan black-boned chickens by RNA sequencing. Br Poult Sci 2020; 61:225-231. [PMID: 31918572 DOI: 10.1080/00071668.2019.1709619] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
1. Melanin content is considered an important indicator of meat quality in black-boned chickens, which have a high market value. To understand the complex physiological processes underlying muscle melanogenesis in this chicken, differentially expressed miRNAs (DEMs) were detected between black muscle (BM) and white muscle (WM) of chickens using high-throughput sequencing technology. Six small RNA libraries were constructed, and more than 16.75 million clean reads were obtained for each library. 2. A total of 582 known miRNAs and 65 novel miRNAs were identified from the six chicken sequence libraries. A total of 19 DEMs were identified between the two groups, of which nine were upregulated and 10 were downregulated. Furthermore, the DEMs were predicted to target 572 genes. 3. Certain DEMs (such as miR-204, miR-133b, and miR-12 229-3p) and their target genes may play an important role in muscle melanogenesis of chickens. These findings provide a foundation for clarifying the miRNA regulatory mechanisms involved in muscle pigmentation in avian species.
Collapse
Affiliation(s)
- S Yu
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - G Wang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - J Liao
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - M Tang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| | - J Chen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University , Leshan, China
| |
Collapse
|
45
|
Liao J, Xie N. Long noncoding RNA DSCAM-AS1 functions as an oncogene in non-small cell lung cancer by targeting BCL11A. Eur Rev Med Pharmacol Sci 2020; 23:1087-1092. [PMID: 30779076 DOI: 10.26355/eurrev_201902_16998] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Long noncoding RNAs (lncRNAs) have attracted more attention for their role in tumor progression recently. The aim of this study was to investigate the role of DSCAM-AS1 in the progression of non-small cell lung cancer (NSCLC), and to elucidate its possible underlying mechanism. PATIENTS AND METHODS DSCAM-AS1 expression in both NSCLC cells and tissue samples was detected by Real Time quantitative-Polymerase Chain Reaction (RT-qPCR). Moreover, the association between the DSCAM-AS1 expression level and patients' overall survival rate was explored. Furthermore, wound healing assay and transwell assay were conducted. In addition, RT-qPCR and Western blot assay were used to elucidate the underlying mechanism. RESULTS DSCAM-AS1 expression level in NSCLC samples was significantly higher than that of the corresponding normal tissues. The expression level of DSCAM-AS1 was associated with an overall survival time of NSCLC patients. Besides, the migration and invasion abilities of NSCLC cells were remarkably promoted after DSCAM-AS1 overexpression in vitro. Moreover, the mRNA and protein expression of BCL11A was significantly upregulated after the overexpression of DSCAM-AS1. Furthermore, the expression of BCL11A was positively correlated with DSCAM-AS1 expression in NSCLC tissues. CONCLUSIONS We observed that DSCAM-AS1 could enhance NSCLC cell migration and invasion via upregulating BCL11A. Furthermore, DSCAM-AS1 might be a potential therapeutic target for NSCLC.
Collapse
Affiliation(s)
- J Liao
- Department of Thoracic Surgery, Yantaishan Hospital, Yantai, China.
| | | |
Collapse
|
46
|
Cheuk W, Liao J, Chan JKC. "Baby Spleen Sleeping in a Cradle": An Intrapancreatic Accessory Spleen. Int J Surg Pathol 2020; 29:516-517. [PMID: 32552218 DOI: 10.1177/1066896920935586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- W Cheuk
- Queen Elizabeth Hospital, Hong Kong, SAR China
| | - J Liao
- Queen Elizabeth Hospital, Hong Kong, SAR China
| | - J K C Chan
- Queen Elizabeth Hospital, Hong Kong, SAR China
| |
Collapse
|
47
|
Fernandez-Mendoza J, Puzino K, Calhoun SL, Qureshi M, He F, Liao J, Vgontzas AN, Liao D, Bixler EO. 0936 Cardiometabolic Disorders are Independently Associated with Excessive Daytime Sleepiness in Young Adults. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.932] [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: 11/14/2022] Open
Abstract
Abstract
Introduction
Cardiometabolic risk factors (CMR), including obesity, hypertension, diabetes and hypercholesterolemia, have been associated with sleep apnea and insufficient sleep, both of which can lead to excessive daytime sleepiness (EDS). We hypothesized that CMR are associated with EDS in young adults independent of sleep apnea, sleep duration and mental health disorders (MHD).
Methods
The Penn State Child Cohort is a population-based longitudinal sample of 700 children (8.7±1.7y), of whom 421 were followed-up 8.3 years later during adolescence (17.0±2.3y) and 425 another 7.0 years later during young adulthood (24.4±2.6y). Subjects underwent a 9-h in-lab polysomnography in childhood and adolescence and parent- or self-reported standardized surveys at all time points. Self-reports in young adulthood and in-lab measurements in childhood were used to ascertain CMR and sleep apnea. Parent-reports in childhood and self-reports in young adulthood were used to ascertain the presence of MHD and EDS. Logistic regression models adjusted for age, race, sex, snoring/observed apneas, insomnia symptoms, and sleep duration in young adulthood as well as mean arterial blood pressure, body mass index percentile and apnea/hypopnea index in childhood.
Results
CMR (OR=2.71, 95%CI=1.69-4.36) and MHD (OR=4.61, 95%CI=2.79-7.62) were associated with EDS in univariate models. After adjusting for covariates in childhood and young adulthood, CMR and MHD remained independently associated with EDS (OR=2.32, 95%CI=1.29-4.16 and OR=2.78, 95%CI=1.59-4.87, respectively).
Conclusion
EDS in young adults with CMR or MHD does not solely arise from sleep apnea, insufficient sleep or other sleep disturbances. EDS may be the result of central pathophysiologic mechanisms or the functional impairment associated with cardiovascular, metabolic and mental health disorders. These data further support that youth with these disorders should be screened for EDS and appropriately managed.
Support
National Institutes of Health (R01HL136587, R01HL97165, R01HL63772, UL1TR000127)
Collapse
Affiliation(s)
| | - K Puzino
- Penn State College of Medicine, Hershey, PA
| | | | - M Qureshi
- Penn State College of Medicine, Hershey, PA
| | - F He
- Penn State College of Medicine, Hershey, PA
| | - J Liao
- Penn State College of Medicine, Hershey, PA
| | | | - D Liao
- Penn State College of Medicine, Hershey, PA
| | - E O Bixler
- Penn State College of Medicine, Hershey, PA
| |
Collapse
|
48
|
Fernandez-Mendoza J, Gao Z, Brandt K, Houser L, Calhoun SL, He F, Liao J, Vgontzas AN, Liao D, Bixler EO. 0890 Sleep Disordered Breathing is Associated With Endothelial Dysfunction and Atherosclerosis in Young Adults: Preliminary Longitudinal Findings in the Penn State Child Cohort. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.886] [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: 11/13/2022] Open
Abstract
Abstract
Introduction
Sleep disordered breathing (SDB) in middle-age is an established risk factor for cardiovascular disease. However, population-based studies supporting its cardiovascular contribution at earlier stages of development are lacking, particularly with long-term follow-ups.
Methods
The Penn State Child Cohort is a population-based longitudinal sample of 700 children (8.7±1.7y), of whom 421 were followed-up 8.3 years later during adolescence (17.0±2.3y) with in-lab polysomnography (PSG). To date, 425 have been followed-up another 7.4 years later during young adulthood (24.4±2.6y) via a standardized survey and 136 of them (55.1% female, 21.3% racial/ethnic minority) have undergone a repeat of their PSG to ascertain apnea/hypopnea index. Subjects (n=121) also underwent Doppler ultrasounds to assess flow-mediated dilation (FMD) and carotid intima-media thickness (CIMT). Linear regression models stratified by body mass index in young adulthood.
Results
SDB was cross-sectionally associated with lower FMD (β=-0.239, p=0.008) and greater CIMT (β=0.330, p<0.001) in young adulthood. Longitudinally, childhood (n=121) and adolescence (n=90) SDB were significantly associated with CIMT (β=0.327, p<0.001 and β=0.286, p=0.006, respectively), but not with FMD (β=-0.158, p=0.08 and β=-0.101, p=0.35, respectively). These associations, particularly longitudinal ones between childhood and adolescence SDB with CIMT in young adulthood, were stronger in overweight than normal weight subjects (e.g., β=0.310, p=0.030 and β =0.089, p=0.582, respectively).
Conclusion
SDB and obesity appear to be synergistically associated with endothelial dysfunction and atherosclerosis in young adults from the general population. These data suggest that a childhood exposure to chronic SDB is associated with long-term atherosclerosis, while endothelial dysfunction may be a short-term outcome. This ongoing 16-year longitudinal study will test whether the natural history of SDB from childhood through adolescence into young adulthood shows differential trajectories for cardiovascular morbidity.
Support
National Institutes of Health (R01HL136587, R01HL97165, R01HL63772, UL1TR000127)
Collapse
Affiliation(s)
| | - Z Gao
- Penn State College of Medicine, Hershey, PA
| | - K Brandt
- Penn State College of Medicine, Hershey, PA
| | - L Houser
- Penn State College of Medicine, Hershey, PA
| | | | - F He
- Penn State College of Medicine, Hershey, PA
| | - J Liao
- Penn State College of Medicine, Hershey, PA
| | | | - D Liao
- Penn State College of Medicine, Hershey, PA
| | - E O Bixler
- Penn State College of Medicine, Hershey, PA
| |
Collapse
|
49
|
Abstract
Nonblinking, nonbleaching, and superbright single upconversion nanoparticles have been recently discovered with nonlinear power-dependent properties and can be switchable under dual-beam excitations, which are ideal for super-resolution microscopy, single-molecule tracking, and digital assays. Here, we report that the brightness of Nd3+-Yb3+-Er3+-doped nanoparticles displays a pair of unusual double helix shapes as the function of power densities of 976 and 808 nm excitations. We systemically analyze the power-dependent emission spectra, lifetimes, and power-intensity double-log slopes of single upconversion nanoparticles, which reveal that the dynamic roles of Nd3+ ions in the tridoped nanosystem with underlining electron population pathways are power dependent. That is, at high power 808 nm excitation, Nd3+ ions can directly emit upconverted luminescence, with their conventional role of sensitization saturated in the Nd3 → Yb3+ → Er3+ energy transfer systems. Moreover, we confirm that the universal helix shape phenomena commonly exist in a set of eight batches of core-shell nanoparticles regardless of the doping concentrations of Nd3+, Yb3+, and Er3+ ions in the sensitization shell, migration shell, and active core, though the crossing nodes occur at different excitation power ranges. This study emphasizes the important role of power-dependent properties in both improving the upconversion emission efficiency and the design of nonlinear responsive probes for imaging and sensing.
Collapse
Affiliation(s)
- Jiayan Liao
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Dayong Jin
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia
- UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P.R. China
| | - Chaohao Chen
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Yiming Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Jiajia Zhou
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| |
Collapse
|
50
|
Hua TQ, Lee SJ, Liao J, Moisseytsev A, Ferroni P, Karahan A, Paik CY, Tentner AM, Sofu T. Development of Mechanistic Source Term Analysis Tool SAS4A-FATE for Lead- and Sodium-Cooled Fast Reactors. NUCL TECHNOL 2020. [DOI: 10.1080/00295450.2019.1598715] [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: 10/26/2022]
Affiliation(s)
- T. Q. Hua
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439
| | - S. J. Lee
- Fauske & Associates, LLC, 16W070 83rd Street, Burr Ridge, Illinois 60527
| | - J. Liao
- Westinghouse Electric Company, 1000 Westinghouse Drive, Cranberry Township, Pennsylvania 16066
| | - A. Moisseytsev
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439
| | - P. Ferroni
- Westinghouse Electric Company, 1000 Westinghouse Drive, Cranberry Township, Pennsylvania 16066
| | - A. Karahan
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439
| | - C. Y. Paik
- Fauske & Associates, LLC, 16W070 83rd Street, Burr Ridge, Illinois 60527
| | - A. M. Tentner
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439
| | - T. Sofu
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439
| |
Collapse
|