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Aguillard DP, Albahri T, Allspach D, Anisenkov A, Badgley K, Baeßler S, Bailey I, Bailey L, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Bedeschi F, Berz M, Bhattacharya M, Binney HP, Bloom P, Bono J, Bottalico E, Bowcock T, Braun S, Bressler M, Cantatore G, Carey RM, Casey BCK, Cauz D, Chakraborty R, Chapelain A, Chappa S, Charity S, Chen C, Cheng M, Chislett R, Chu Z, Chupp TE, Claessens C, Convery ME, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, Debevec PT, Di Falco S, Di Sciascio G, Drendel B, Driutti A, Duginov VN, Eads M, Edmonds A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Froemming NS, Gabbanini C, Gaines I, Galati MD, Ganguly S, Garcia A, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Goodenough L, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Halewood-Leagas T, Hampai D, Han F, Hempstead J, Hertzog DW, Hesketh G, Hess E, Hibbert A, Hodge Z, Hong KW, Hong R, Hu T, Hu Y, Iacovacci M, Incagli M, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler DS, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kinnaird N, Kraegeloh E, Krylov VA, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lu Z, Lucà A, Lukicov G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Mastroianni S, Miller JP, Miozzi S, Mitra B, Morgan JP, Morse WM, Mott J, Nath A, Ng JK, Nguyen H, Oksuzian Y, Omarov Z, Osofsky R, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Price J, Quinn B, Qureshi MUH, Ramachandran S, Ramberg E, Reimann R, Roberts BL, Rubin DL, Santi L, Schlesier C, Schreckenberger A, Semertzidis YK, Shemyakin D, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Weisskopf A, Welty-Rieger L, Winter P, Wu Y, Yu B, Yucel M, Zeng Y, Zhang C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm. Phys Rev Lett 2023; 131:161802. [PMID: 37925710 DOI: 10.1103/physrevlett.131.161802] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/05/2023] [Indexed: 11/07/2023]
Abstract
We present a new measurement of the positive muon magnetic anomaly, a_{μ}≡(g_{μ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{μ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{μ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{μ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision.
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Affiliation(s)
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - L Bailey
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H P Binney
- University of Washington, Seattle, Washington, USA
| | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- University of Liverpool, Liverpool, United Kingdom
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - S Braun
- University of Washington, Seattle, Washington, USA
| | - M Bressler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- Università di Udine, Udine, Italy
| | | | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- University of Liverpool, Liverpool, United Kingdom
| | - C Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - M Cheng
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - C Claessens
- University of Washington, Seattle, Washington, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | | | - J D Crnkovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | | | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Edmonds
- Boston University, Boston, Massachusetts, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | | | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | | | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | | | - I Gaines
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | | | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - L Goodenough
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Argonne National Laboratory, Lemont, Illinois, USA
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - E Hess
- INFN, Sezione di Pisa, Pisa, Italy
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - T Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Y Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D S Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- University of Mississippi, University, Mississippi, USA
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - Z Lu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - B Mitra
- University of Mississippi, University, Mississippi, USA
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Nath
- INFN, Sezione di Napoli, Naples, Italy
| | - J K Ng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Oksuzian
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Z Omarov
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | | | - R N Pilato
- University of Liverpool, Liverpool, United Kingdom
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - M U H Qureshi
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Reimann
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- Università di Udine, Udine, Italy
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Cornell University, Ithaca, New York, USA
- Michigan State University, East Lansing, Michigan, USA
- University of Liverpool, Liverpool, United Kingdom
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | - A E Tewsley-Booth
- University of Kentucky, Lexington, Kentucky, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Michigan State University, East Lansing, Michigan, USA
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
- University of Liverpool, Liverpool, United Kingdom
| | - G Venanzoni
- University of Liverpool, Liverpool, United Kingdom
| | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Y Wu
- Argonne National Laboratory, Lemont, Illinois, USA
| | - B Yu
- University of Mississippi, University, Mississippi, USA
| | - M Yucel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - C Zhang
- University of Liverpool, Liverpool, United Kingdom
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Jindal M, Garshick MS, Barrett T, Schlamp F, Drenkova K, Newman JD, Goldberg I, Fisher E, Giannarelli C, Fadzan M, Bredefeld C, Levy N, Heguy A, Akinlonu A, Berger JS. DIABETES AND HBA1C IN ENDOTHELIAL DAMAGE AND VASCULAR HEALTH: FINDINGS FROM THE AMERICAN HEART ASSOCIATION CARDIOMETABOLIC HEALTH STRATEGICALLY FOCUSED RESEARCH NETWORK. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)02315-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Kennedy NN, Xia Y, Rockman C, Newman JD, Smilowitz NR, Barrett T, Berland T, Cayne N, Garg K, Jacobowitz G, Lamparello PJ, Maldonado T, Sadek M, Berger JS. DYNAMIC PERIOPERATIVE PLATELET ACTIVITY AND CARDIOVASCULAR RISK: PLATELET ACTIVITY AND CARDIOVASCULAR EVENTS (PACE) IN PERIPHERAL ARTERY DISEASE. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)02472-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Orecchia L, Nardi A, Fletcher P, Ippoliti S, Grounds J, Dokubo I, Spicchiale CF, Miah S, Miano R, Barrett T, Kastner C. Development of roscap, a multivariate risk score for clinically significant cancer of the prostate focused on of patients with negative or equivocal MRI. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)01134-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Turer R, Champion J, Rothman B, Dunn H, Jenkins K, Evernham O, Barrett T, Jones I, Miller N. 69 Improving Critical Care Documentation in an Academic Emergency Department via Point-of-Documentation Decision Support. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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van Solingen C, Cyr Y, Scacalossi K, de Vries M, Barrett T, De Jong A, Gourvest M, Zhang T, Kher R, Cornwell M, Gildea M, Brown E, Fanucchi S, Mhlanga M, Berger J, Dittmann M, Moore KJ. Abstract 396:
CHROMR
Coordinates Interferon Signaling And Lipid Metabolism In Viral Infection. Arterioscler Thromb Vasc Biol 2022. [DOI: 10.1161/atvb.42.suppl_1.396] [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: 12/02/2022]
Abstract
COVID-19, caused by SARS-CoV-2 infection, is associated with atherosclerotic cardiovascular complications like acute coronary syndrome, myocardial infarction, and stroke, but the underlying mechanisms are poorly understood. Long non-coding RNAs (lncRNAs) have emerged as important regulators of gene expression in the immune response. RNA-seq of whole blood from hospitalized patients with COVID-19, influenza A virus and matched controls identified 190 lncRNAs deregulated in both viral infections. Among the top mutually upregulated lncRNAs, we noted
CHROMR
(alias
CHROME
)
,
a primate-specific lncRNA previously identified as a competing endogenous RNA that regulates cholesterol efflux and fatty acid oxidation via microRNA sequestration. Here, we report a complementary role for
CHROMR
in coordinating the interferon (IFN) signaling response to respiratory viruses.
CHROMR
expression is induced in macrophages in response to SARS-CoV-2 and influenza A infection and accumulates in the nucleus where it binds the transcriptional co-repressor IRF2BP2, a negative regulator of IFN-stimulated gene (ISG) expression.
CHROMR
is essential for mounting an anti-viral response, as its depletion in macrophages reduces histone acetylation at ISGs, activation of IRF signaling, and ISG expression. These findings suggest that
CHROMR
sequesters the nuclear IRF-2/IRF2BP2 repressor complex releasing its inhibitory effect on transcription of ISGs. Consistent with this,
CHROMR
expression is required to restrict influenza virus replication in macrophages. Notably, many viruses rewire host lipid synthesis and metabolism to facilitate replication, and thus, increased
CHROMR
expression in virus infected cells would both mitigate cellular lipid accumulation and increase ISG transcription to mount an anti-viral immune response. Collectively, our findings underscore the merit of investigating lncRNAs to decipher novel regulatory mechanisms that govern lipid metabolism and inflammation in humans.
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Garshick M, Jindal M, Myndzar K, Barrett T, Newman J, Fadzn M, Xia Y, Giannarelli C, Fisher E, Goldberg IJ, Berger JS. Abstract 134: Atorvastatin As Opposed To Ezetimibe Reduces Biomarkers Of Thrombosis In The Setting Of Aggressive Lipid Lowering Therapy: Findings From The American Heart Association Strategically Focused Cardiometabolic Health And Type 2 Diabetes Mellitus Research Network. Arterioscler Thromb Vasc Biol 2022. [DOI: 10.1161/atvb.42.suppl_1.134] [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: 12/02/2022]
Abstract
Introduction:
CHORD (CHOlesterol lowering and Residual Risk in Diabetes) is an ongoing, prospective, multicenter study designed to evaluate the effect of maximal cholesterol-lowering on cardiovascular (CV) risk. Aggressive lipid-lowering with HMG CoA-reductase inhibitors (e.g. statins), ezetimibe, and PCSK9 inhibitors (such as evolocumab) reduce atherothrombotic events. Statins reduce cholesterol dramatically and are also felt to have pleiotropic, anti-inflammatory properties. We compared the impact of statins and ezetimibe on thrombotic biomarkers after maximal lipid lowering with PCSK9 inhibition.
Methods:
CHORD enrolled subjects (n=57, mean age 52 ± 15 years, 44% male, 58% diabetes) with LDL-cholesterol >100mg/dl and treated with evolocumab (140mg every 2 weeks) plus either atorvastatin (80mg/day, n=27), or ezetimibe (10mg/day, n=30) for 30-days. High-sensitivity C-reactive protein (hs-CRP) and biomarkers of thrombosis (LEGENDplex Human Thrombosis Panel) were measured at baseline and follow-up.
Results:
Significant LDL-C reductions were observed in both the evolocumab + atorvastatin (130 mg/dl [123 - 145] to 31 mg/dl [27 - 39], p<0.001) and evolocumab + ezetimibe (127 mg/dl [106 - 138] to 38 mg/dl [27 - 56], p<0.001) groups. Hs-CRP was reduced after evolocumab + atorvastatin (18% reduction, p<0.01), but not evolocumab + ezetimibe. When compared to evolocumab + ezetimibe, greater reductions in P-selectin, D-Dimer, Factor IX, and a trend towards reduction in sCD40L, and PAI-1 were noted after evolocumab + atorvastatin (
Figure 1).
Conclusion:
Despite similar levels of LDL-C reduction, statins plus evolocumab cause greater reductions in biomarkers of thrombosis and inflammation than ezetimibe and evolocumab. These data suggest that statins provide benefits over and above LDL-C reduction.
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Affiliation(s)
| | | | | | | | | | | | - Yuhe Xia
- NYU Langone Health, New York, NY
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McDonald M, Bates J, Patel M, Boyce B, Rudra S, Kaka A, Steuer C, Shin D, Tian S, Nathan M, Waller J, Thomas S, Remick J, Barrett T, Ottenstein L, Saba N, Stokes W. Patient-reported Outcomes in Oropharyngeal Cancer Treated With Definitive Chemoradiation vs. Surgery With Postoperative Radiation With or Without Chemotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Jindal M, Garshick MS, Schlamp F, Barrett T, Giannarelli C, Newman J, Fadzan M, Heguy A, Fisher EA, Goldberg IJ, Berger JS. Abstract 227: Statins Decrease Endothelial Cell Inflammation On Top Of Maximal Cholesterol Reduction: Findings From The American Heart Association Strategically Focused Cardiometabolic Health And Type 2 Diabetes Mellitus Research Network. Arterioscler Thromb Vasc Biol 2022. [DOI: 10.1161/atvb.42.suppl_1.227] [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: 12/05/2022]
Abstract
Background:
Dyslipidemia induces a proinflammatory endothelium and vascular dysfunction. Lipid lowering therapy (LLT) consistently reduces cardiovascular (CV) events. Clinical studies suggest that statin-based LLT has pleiotropic anti-inflammatory effects beyond cholesterol reduction. However, the impact of statins or ezetimibe on top of potent cholesterol reduction is unknown. Thus, on a background of PCSK9 inhibition (with evolocumab), we analyzed the effect of LLT with atorvastatin or ezetimibe on the endothelium using a novel direct brachial vein (BV) endothelial cell (EC) harvesting technique.
Methods:
CHORD (CHOlesterol lowering and Residual Risk in Diabetes) is an ongoing, prospective study designed to evaluate the effect of maximal LLT on CV risk. Subjects with LDL-C >100mg/dl were treated with evolocumab (140mg/2 weeks) and either atorvastatin (80mg/day) or ezetimibe (10mg/day) for 30 days. In a subset of participants, EC harvesting was performed by inserting a J-wire into the BV, and ECs were isolated and analyzed using next generation RNA sequencing.
Results:
Among 20 participants (11 atorvastatin, 9 ezetimibe) undergoing EC RNASeq, median LDL-C (130 mg/dl, IQR [110, 147]) decreased by 75% [67, 81] on background PCSK9 inhibition with no significant difference in 30-day LDL-C between atorvastatin (27 mg/dl [20, 32]) and ezetimibe (41 mg/dl [26, 53]) groups (p=0.07). Following cholesterol reduction, 850 genes were upregulated and 2468 were downregulated (p<0.05) with downregulation of eNOS, Endothelin-1, and Senescence pathways by canonical pathway analysis. When stratified by LLT, patients receiving atorvastatin had a significant decrease in inflammation and senescence pathways compared to patients receiving ezetimibe (Figure).
Conclusions:
Robust lipid lowering with PCSK9 inhibition plus statins, as opposed to ezetimibe has anti-inflammatory effects and suggests a preferred strategy to improve the endothelium and reduce CV risk.
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Gao T, Howard D, Barrett T. A novel low-cost sutureless method for open salpingectomy. Am J Obstet Gynecol 2022. [DOI: 10.1016/j.ajog.2021.12.177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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11
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Fletcher P, De Santis M, Taylor N, Chinnery L, Barrett T, Kastner C. Vector prostate biopsy: A novel electro-magnetic biopsy technique for mpMRI/US fusion transperineal prostate biopsies under local anaesthesia. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01292-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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12
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Barrett T, Pacey S, Leonard K, Wulff J, Funingana IG, Gnanapragasam V. A feasibility study of the therapeutic response and durability of short-term androgen targeted therapy in early prostate cancer managed by surveillance: The Therapeutics in Active Prostate Surveillance (TAPS01) study. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00373-6] [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: 11/16/2022]
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13
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Kastner C, Taylor N, Barrett T, Chinnery L, Fletcher P. A new horizon-electromagnetic (EM) needle tip tracking to support mpMRI/US fusion transperineal prostate biopsies under local anaesthetia. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01330-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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14
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Light A, Keates A, Thankappannair V, Warren A, Barrett T, Gnanapragasam V. Development of the STRATified CANcer Surveillance protocol for men with favourable-risk prostate cancer. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01417-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Garshick MS, Barrett T, Myndzar K, Scher J, Neimann A, Katz S, Jelic S, Fisher E, Kruegert J, Berger J. LIPID-LOWERING IN PSORIASIS REDUCES VASCULAR ENDOTHELIAL INFLAMMATION. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)04765-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Garshick MS, Drenkova K, Barrett T, Schwartzbard A, Weintraub H, Scher J, Fisher E, Berger J. LIPOPROTEIN(A) IS ELEVATED IN PSORIASIS AND ASSOCIATED WITH CARDIOVASCULAR RISK. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02937-5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Abi B, Albahri T, Al-Kilani S, Allspach D, Alonzi LP, Anastasi A, Anisenkov A, Azfar F, Badgley K, Baeßler S, Bailey I, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Basti A, Bedeschi F, Behnke A, Berz M, Bhattacharya M, Binney HP, Bjorkquist R, Bloom P, Bono J, Bottalico E, Bowcock T, Boyden D, Cantatore G, Carey RM, Carroll J, Casey BCK, Cauz D, Ceravolo S, Chakraborty R, Chang SP, Chapelain A, Chappa S, Charity S, Chislett R, Choi J, Chu Z, Chupp TE, Convery ME, Conway A, Corradi G, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, De Lurgio PM, Debevec PT, Di Falco S, Di Meo P, Di Sciascio G, Di Stefano R, Drendel B, Driutti A, Duginov VN, Eads M, Eggert N, Epps A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fiedler A, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Frlež E, Froemming NS, Fry J, Fu C, Gabbanini C, Galati MD, Ganguly S, Garcia A, Gastler DE, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Hahn D, Halewood-Leagas T, Hampai D, Han F, Hazen E, Hempstead J, Henry S, Herrod AT, Hertzog DW, Hesketh G, Hibbert A, Hodge Z, Holzbauer JL, Hong KW, Hong R, Iacovacci M, Incagli M, Johnstone C, Johnstone JA, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler D, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kim SC, Kim YI, King B, Kinnaird N, Korostelev M, Kourbanis I, Kraegeloh E, Krylov VA, Kuchibhotla A, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee MJ, Lee S, Leo S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lucà A, Lukicov G, Luo G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Marignetti F, Mastroianni S, Maxfield S, McEvoy M, Merritt W, Mikhailichenko AA, Miller JP, Miozzi S, Morgan JP, Morse WM, Mott J, Motuk E, Nath A, Newton D, Nguyen H, Oberling M, Osofsky R, Ostiguy JF, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Popovic M, Price J, Quinn B, Raha N, Ramachandran S, Ramberg E, Rider NT, Ritchie JL, Roberts BL, Rubin DL, Santi L, Sathyan D, Schellman H, Schlesier C, Schreckenberger A, Semertzidis YK, Shatunov YM, Shemyakin D, Shenk M, Sim D, Smith MW, Smith A, Soha AK, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Strohman C, Stuttard T, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Thomson K, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Warren M, Weisskopf A, Welty-Rieger L, Whitley M, Winter P, Wolski A, Wormald M, Wu W, Yoshikawa C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm. Phys Rev Lett 2021; 126:141801. [PMID: 33891447 DOI: 10.1103/physrevlett.126.141801] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
We present the first results of the Fermilab National Accelerator Laboratory (FNAL) Muon g-2 Experiment for the positive muon magnetic anomaly a_{μ}≡(g_{μ}-2)/2. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency ω_{a} between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ω[over ˜]_{p}^{'} in a spherical water sample at 34.7 °C. The ratio ω_{a}/ω[over ˜]_{p}^{'}, together with known fundamental constants, determines a_{μ}(FNAL)=116 592 040(54)×10^{-11} (0.46 ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both μ^{+} and μ^{-}, the new experimental average of a_{μ}(Exp)=116 592 061(41)×10^{-11} (0.35 ppm) increases the tension between experiment and theory to 4.2 standard deviations.
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Affiliation(s)
- B Abi
- University of Oxford, Oxford, United Kingdom
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - S Al-Kilani
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - L P Alonzi
- University of Washington, Seattle, Washington, USA
| | | | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - F Azfar
- University of Oxford, Oxford, United Kingdom
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Basti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | | | - A Behnke
- Northern Illinois University, DeKalb, Illinois, USA
| | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | | | - H P Binney
- University of Washington, Seattle, Washington, USA
| | | | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - D Boyden
- Northern Illinois University, DeKalb, Illinois, USA
| | - G Cantatore
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Trieste, Trieste, Italy
| | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - J Carroll
- University of Liverpool, Liverpool, United Kingdom
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - S Ceravolo
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - S P Chang
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - J Choi
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Conway
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - G Corradi
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | - L Cotrozzi
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - J D Crnkovic
- Brookhaven National Laboratory, Upton, New York, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- University of Mississippi, University, Mississippi, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - P Di Meo
- INFN, Sezione di Napoli, Napoli, Italy
| | | | - R Di Stefano
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Driutti
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Udine, Udine, Italy
- University of Kentucky, Lexington, Kentucky, USA
| | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - N Eggert
- Cornell University, Ithaca, New York, USA
| | - A Epps
- Northern Illinois University, DeKalb, Illinois, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | - C Ferrari
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
- University of Washington, Seattle, Washington, USA
| | - A Fiedler
- Northern Illinois University, DeKalb, Illinois, USA
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | - A Fioretti
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Frlež
- University of Virginia, Charlottesville, Virginia, USA
| | - N S Froemming
- Northern Illinois University, DeKalb, Illinois, USA
- University of Washington, Seattle, Washington, USA
| | - J Fry
- University of Virginia, Charlottesville, Virginia, USA
| | - C Fu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - C Gabbanini
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M D Galati
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - D E Gastler
- Boston University, Boston, Massachusetts, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- INFN, Sezione di Pisa, Pisa, Italy
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | - P Girotti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - D Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - E Hazen
- Boston University, Boston, Massachusetts, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - S Henry
- University of Oxford, Oxford, United Kingdom
| | - A T Herrod
- University of Liverpool, Liverpool, United Kingdom
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - J L Holzbauer
- University of Mississippi, University, Mississippi, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - M Iacovacci
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | | | - C Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J A Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
- University of Rijeka, Rijeka, Croatia
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
- University of Washington, Seattle, Washington, USA
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - S C Kim
- Cornell University, Ithaca, New York, USA
| | - Y I Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B King
- University of Liverpool, Liverpool, United Kingdom
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | | | - I Kourbanis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - A Kuchibhotla
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - M J Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Leo
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - G Luo
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Lusiani
- INFN, Sezione di Pisa, Pisa, Italy
- Scuola Normale Superiore, Pisa, Italy
| | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | - F Marignetti
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | | | - S Maxfield
- University of Liverpool, Liverpool, United Kingdom
| | - M McEvoy
- Northern Illinois University, DeKalb, Illinois, USA
| | - W Merritt
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Motuk
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Nath
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | - D Newton
- University of Liverpool, Liverpool, United Kingdom
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Oberling
- Argonne National Laboratory, Lemont, Illinois, USA
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - J-F Ostiguy
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - G Pauletta
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - G M Piacentino
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università del Molise, Campobasso, Italy
| | - R N Pilato
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Popovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - N Raha
- INFN, Sezione di Pisa, Pisa, Italy
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - N T Rider
- Cornell University, Ithaca, New York, USA
| | - J L Ritchie
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - D Sathyan
- Boston University, Boston, Massachusetts, USA
| | - H Schellman
- Northwestern University, Evanston, Illinois, USA
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Schreckenberger
- Boston University, Boston, Massachusetts, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Y M Shatunov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Shenk
- Northern Illinois University, DeKalb, Illinois, USA
| | - D Sim
- University of Liverpool, Liverpool, United Kingdom
| | - M W Smith
- INFN, Sezione di Pisa, Pisa, Italy
- University of Washington, Seattle, Washington, USA
| | - A Smith
- University of Liverpool, Liverpool, United Kingdom
| | - A K Soha
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern-und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Strohman
- Cornell University, Ithaca, New York, USA
| | - T Stuttard
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Michigan State University, East Lansing, Michigan, USA
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | | | - K Thomson
- University of Liverpool, Liverpool, United Kingdom
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Lancaster University, Lancaster, United Kingdom
- Michigan State University, East Lansing, Michigan, USA
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Warren
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Whitley
- University of Liverpool, Liverpool, United Kingdom
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - A Wolski
- University of Liverpool, Liverpool, United Kingdom
| | - M Wormald
- University of Liverpool, Liverpool, United Kingdom
| | - W Wu
- University of Mississippi, University, Mississippi, USA
| | - C Yoshikawa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
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Kanwar M, Krainsangka J, Scott J, Barrett T, Everett A, Perer A, Antaki J, Benza R. Hemodynamic Parameters in Predicting Survival in Pulmonary Arterial Hypertension. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Heffron SP, Weinstock A, Scolaro B, Chen S, Sansbury BE, Marecki G, Rolling CC, El Bannoudi H, Barrett T, Canary JW, Spite M, Berger JS, Fisher EA. Platelet-conditioned media induces an anti-inflammatory macrophage phenotype through EP4. J Thromb Haemost 2021; 19:562-573. [PMID: 33171016 PMCID: PMC7902474 DOI: 10.1111/jth.15172] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 05/12/2020] [Revised: 10/24/2020] [Accepted: 10/27/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Platelets are increasingly recognized as immune cells. As such, they are commonly seen to induce and perpetuate inflammation; however, anti-inflammatory activities are increasingly attributed to them. Atherosclerosis is a chronic inflammatory condition. Similar to other inflammatory conditions, the resolution of atherosclerosis requires a shift in macrophages to an M2 phenotype, enhancing their efferocytosis and cholesterol efflux capabilities. OBJECTIVES To assess the effect of platelets on macrophage phenotype. METHODS In several in vitro models employing murine (RAW264.7 and bone marrow-derived macrophages) and human (THP-1 and monocyte-derived macrophages) cells, we exposed macrophages to media in which non-agonized human platelets were cultured for 60 minutes (platelet-conditioned media [PCM]) and assessed the impact on macrophage phenotype and function. RESULTS Across models, we demonstrated that PCM from healthy humans induced a pro-resolving phenotype in macrophages. This was independent of signal transducer and activator of transcription 6 (STAT6), the prototypical pathway for M2 macrophage polarization. Stimulation of the EP4 receptor on macrophages by prostaglandin E2 present in PCM, is at least partially responsible for altered gene expression and associated function of the macrophages-specifically reduced peroxynitrite production, increased efferocytosis and cholesterol efflux capacity, and increased production of pro-resolving lipid mediators (ie, 15R-LXA4 ). CONCLUSIONS Platelet-conditioned media induces an anti-inflammatory, pro-resolving phenotype in macrophages. Our findings suggest that therapies targeting hemostatic properties of platelets, while not influencing pro-resolving, immune-related activities, could be beneficial for the treatment of atherothrombotic disease.
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Affiliation(s)
- Sean P. Heffron
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
- NYU Langone Health, NYU Center for the Prevention of Cardiovascular Disease, New York, NY, USA
| | - Ada Weinstock
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
| | - Bianca Scolaro
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
| | - Shiyu Chen
- NYU Department of Chemistry, New York, NY, USA
| | - Brian E. Sansbury
- Center for Experimental Therapeutics and Reperfusion Injury, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Greg Marecki
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
| | | | - Hanane El Bannoudi
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
| | - Tessa Barrett
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
| | | | - Matthew Spite
- Center for Experimental Therapeutics and Reperfusion Injury, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jeffrey S. Berger
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
- NYU Langone Health, NYU Center for the Prevention of Cardiovascular Disease, New York, NY, USA
- NYU Langone Health, Department of Surgery, New York University, New York, NY, USA
| | - Edward A. Fisher
- NYU Langone Health, Leon H. Charney Division of Cardiology, New York, NY, USA
- NYU Langone Health, NYU Center for the Prevention of Cardiovascular Disease, New York, NY, USA
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Barrett T, Khwaja A, Carmona C, Martinez Y, Nicholas H, Rogers G, Wierzbicki AS, Lewington AJP. Acute kidney injury: prevention, detection, and management. Summary of updated NICE guidance for adults receiving iodine-based contrast media. Clin Radiol 2020; 76:193-199. [PMID: 33390251 DOI: 10.1016/j.crad.2020.08.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 08/20/2020] [Indexed: 11/16/2022]
Abstract
The National Institute for Health and Care Excellence (NICE) has recently updated the guideline for Acute kidney injury: prevention, detection and management (NG148), providing new recommendations on preventing acute kidney injury (AKI) in adults receiving intravenous iodine-based contrast media. The association between intravenous iodinated contrast media and AKI is controversial, particularly with widespread use of iso-osmolar agents. Associations between contrast media administration and AKI are largely based on observational studies, with inherent heterogeneity in patient populations, definitions applied, and timing of laboratory investigations. In an attempt to mitigate risk, kidney protection has typically been employed using intravenous volume expansion and/or oral acetylcysteine. Such interventions are in widespread use, despite lacking high-quality evidence of benefit. In the non-emergency setting, glomerular filtration rate (GFR) measurements should be obtained within the preceding 3 months before offering intravenous iodine-based contrast media. In the acute setting, adults should also have their risk of AKI assessed before offering intravenous iodine-based contrast media; however, this should not delay emergency imaging. Based on the evidence available from randomised controlled trials, the NICE committee recommends that oral hydration should be encouraged in adults at increased risk of AKI and that volume expansion with intravenous V fluids should only be considered for inpatients at particularly high risk.
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Affiliation(s)
- T Barrett
- Department of Radiology, Addenbrooke's Hospital and the University of Cambridge, Cambridge CB2 0QQ, UK.
| | - A Khwaja
- Renal Department, Sheffield Kidney Institute, Northern General Hospital, Sheffield S5 7AU, UK
| | - C Carmona
- National Institute for Health & Clinical Excellence, Level 1, City Tower, Piccadilly Gardens, Manchester M1 4BT, UK
| | - Y Martinez
- National Institute for Health & Clinical Excellence, Level 1, City Tower, Piccadilly Gardens, Manchester M1 4BT, UK
| | - H Nicholas
- National Institute for Health & Clinical Excellence, Level 1, City Tower, Piccadilly Gardens, Manchester M1 4BT, UK
| | - G Rogers
- National Institute for Health & Clinical Excellence, Level 1, City Tower, Piccadilly Gardens, Manchester M1 4BT, UK
| | - A S Wierzbicki
- Department of Chemical Pathology, Guy's & St. Thomas' Hospitals, London, UK
| | - A J P Lewington
- Renal Department, St. James's University Hospital, Beckett Street Leeds, LS9 7TF, UK
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21
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Ullrich T, Kohli MD, Ohliger MA, Magudia K, Arora SS, Barrett T, Bittencourt LK, Margolis DJ, Schimmöller L, Turkbey B, Westphalen AC. Quality Comparison of 3 Tesla multiparametric MRI of the prostate using a flexible surface receiver coil versus conventional surface coil plus endorectal coil setup. Abdom Radiol (NY) 2020; 45:4260-4270. [PMID: 32696213 PMCID: PMC7716937 DOI: 10.1007/s00261-020-02641-0] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 06/21/2020] [Accepted: 07/04/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE To subjectively and quantitatively compare the quality of 3 Tesla magnetic resonance imaging of the prostate acquired with a novel flexible surface coil (FSC) and with a conventional endorectal coil (ERC). METHODS Six radiologists independently reviewed 200 pairs of axial, high-resolution T2-weighted and diffusion-weighted image data sets, each containing one examination acquired with the FSC and one with the ERC, respectively. Readers selected their preferred examination from each pair and assessed every single examination using six quality criteria on 4-point scales. Signal-to-noise ratios were measured and compared. RESULTS Two readers preferred FSC acquisition (36.5-45%) over ERC acquisition (13.5-15%) for both sequences combined, and four readers preferred ERC acquisition (41-46%). Analysis of pooled responses for both sequences from all readers shows no significant preference for FSC or ERC. Analysis of the individual sequences revealed a pooled preference for the FSC in T2WI (38.7% vs 17.8%) and for the ERC in DWI (50.9% vs 19.6%). Patients' weight was the only weak predictor of a preference for the ERC acquisition (p = 0.04). SNR and CNR were significantly higher in the ERC acquisitions (p<0.001) except CNR differentiating tumor lesions from benign prostate (p=0.1). CONCLUSION Although readers have strong individual preferences, comparable subjective image quality can be obtained for prostate MRI with an ERC and the novel FSC. ERC imaging might be particularly valuable for sequences with inherently lower SNR as DWI and larger patients whereas the FSC is generally preferred in T2WI. FSC imaging generates a lower SNR than with an ERC.
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Affiliation(s)
- T Ullrich
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany.
| | - M D Kohli
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - M A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - K Magudia
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - S S Arora
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - T Barrett
- Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- CamPARI Prostate Cancer Group, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - L K Bittencourt
- DASA Company, São Paulo, Brazil
- Department of Radiology, Fluminense Federal University (UFF), Niterói, Rio De Janeiro, Brazil
| | - D J Margolis
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - L Schimmöller
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany
| | - B Turkbey
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - A C Westphalen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, CA, USA
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Gnanapragasam V, George A, Warren A, Barrett T, Massie C, Pacey S. Integrating image guided-diagnostics, individualised prognostics and molecular profiling to identify targeted medicine strategies in men with aggressive primary non-metastatic prostate cancer. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33514-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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23
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Miller R, Radtke J, Hadaschik B, Hansen N, Teoh J, Giganti F, Allen C, Moore C, Miano R, Saoud R, Eggener S, Whan A, Sonn G, Taneja S, Barrett T, Westphalen A, Schoots I, Grummet J. Accuracy and variation of biparametric prostate MRI reporting across a range of reader experience: The global BooMeR Study - initial results. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)32882-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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24
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Garshick MS, Grattan R, Barrett T, Tawil M, Fisher E, Krueger J, Berger J. BIOMARKER CORRELATES OF IMPAIRED VASCULAR HEALTH IN PATIENTS WITH PSORIASIS. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)32876-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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25
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Garshick MS, Tawil M, Barrett T, Salud C, Eppler M, Lee A, Scher J, Neimann A, Jelic S, Mehta N, Fisher E, Krueger J, Berger J. ACTIVATED PLATELETS INDUCE ENDOTHELIAL CELL INFLAMMATORY RESPONSE IN PSORIASIS WHICH IS INHIBITED BY LOW-DOSE ASPIRIN. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)32845-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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26
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Latifoltojar A, Appayya MB, Barrett T, Punwani S. Similarities and differences between Likert and PIRADS v2.1 scores of prostate multiparametric MRI: a pictorial review of histology-validated cases. Clin Radiol 2019; 74:895.e1-895.e15. [PMID: 31627804 DOI: 10.1016/j.crad.2019.08.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 08/27/2019] [Indexed: 12/21/2022]
Abstract
The UK National Institute for Health and Care Excellence (NICE) 2019 "Prostate cancer: diagnosis and management" guidelines have recommended that all patients suspected of prostate cancer undergo multiparametric magnetic resonance imaging (mpMRI) prior to biopsy. The Likert scoring system is advocated for mpMRI reporting based on multicentre studies that have demonstrated its effectiveness within the National Health Service (NHS). In recent years, there has been considerable drive towards standardised prostate reporting, which led to the development of "Prostate Imaging-Reporting And Data System" (PI-RADS). The PI-RADS system has been adopted by the majority of European countries and within the US. This paper reviews these systems indicating the similarities and specific differences that exist between PI-RADS and Likert assessment through a series of histologically proven clinical cases.
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Affiliation(s)
- A Latifoltojar
- Centre for Medical Imaging, University College London, Division of Medicine, Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK
| | - M B Appayya
- Centre for Medical Imaging, University College London, Division of Medicine, Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK
| | - T Barrett
- Department of Radiology, Addenbrooke's Hospital, 277 Hills Rd, Cambridge CB2 0QQ, UK; Cambridge Biomedical Research Centre, 277 Hills Road Cambridge CB2 0QQ, UK
| | - S Punwani
- Centre for Medical Imaging, University College London, Division of Medicine, Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK; Department of Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK.
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Abstract
Multiparametric magnetic resonance imaging (MRI) now plays an essential role in prostate cancer diagnosis and management. The increasing use of MRI before biopsy makes obtaining images of the highest quality vital. The European Society of Urogenital Radiology (ESUR) 2012 guidelines and subsequent Prostate Imaging -Reporting Data System (PI-RADS) version 2 recommendations in 2015 address the technical considerations for optimising MRI acquisition; however, the quality of the multiparametric sequences employed depends not only on the hardware and software utilised and scanning parameters selected, but also on patient-related factors, for which current guidance is lacking. Patient preparation factors include bowel peristalsis, rectal distension, the presence of total hip replacement (THR), post-biopsy haemorrhage, and abstinence from ejaculation. New evidence has been accrued since the release of PI-RADS v2, and this review aims to explore the key issues of patient preparation and their potential to further optimise the image quality of mpMRI.
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Affiliation(s)
- I Caglic
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
| | - T Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK; CamPARI Clinic, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
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Flinders K, Bamber R, Lewtas H, Hancock D, Homfray D, Kamalu J, Barrett T. Characterising the impact of castellations on the efficiency of induction heating during testing in the HIVE facility. Fusion Engineering and Design 2019. [DOI: 10.1016/j.fusengdes.2019.03.097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Gerardin J, Firdaouss M, Maviglia F, Arter W, Barrett T, Kovari M. Simplified heat load modeling for design of DEMO discrete limiter. Nuclear Materials and Energy 2019. [DOI: 10.1016/j.nme.2019.01.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Affiliation(s)
- T Barrett
- Department of Radiology, Addenbrooke's Hospital and the University of Cambridge, Cambridge, CB2 0QQ, UK.
| | - A Rajesh
- Department of Radiology, University Hospitals of Leicester NHS Trust, Gwendolen Road, Leicester, LE5 4PW, UK
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31
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Burn PR, Freeman SJ, Andreou A, Burns-Cox N, Persad R, Barrett T. A multicentre assessment of prostate MRI quality and compliance with UK and international standards. Clin Radiol 2019; 74:894.e19-894.e25. [PMID: 31296337 DOI: 10.1016/j.crad.2019.03.026] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 03/19/2019] [Indexed: 10/26/2022]
Abstract
AIM To assess prostate magnetic resonance imaging (MRI) image quality and compliance with technical standards between centres in the South West region of the UK. MATERIALS AND METHODS Fifteen imaging sites in the region submitted seven consecutive anonymised MRI studies. These were assessed by two experienced radiologists in consensus. Overall, subjective image quality for T2-weighted imaging (T2W), diffusion weighted imaging (DWI), and dynamic contrast enhancement (DCE) was scored on a five-point Likert scale. Five additional quality parameters were also assessed visually, including image noise, motion, artefact, and distortion. The degree of compliance by each site with 21 published technical standards was also assessed. RESULTS Ninety-four MRI examinations were reviewed from across all sites (mean 6.3 scans per site, range 5-7). Mean compliance with technical standards was 63% (range 38-86%). Forty-seven percent of sites did not perform DCE. One site used a 3 T scanner. The percentage of patients with overall quality scores of ≥3 (diagnostically acceptable) were 68% for T2W, 81% for DWI, and 60% for both T2W and DWI. Ninety-three percent of the 45 patients who underwent DCE had diagnostically acceptable studies. By scanner age, the percentage of patients with diagnostically acceptable T2W scores was 53% for scanners ≥7 years and 80% when <7 years (p=0.006). Comparing individual sites, the mean overall quality scores were 2.9 (range 2.2-4.2) for T2W, 3.2 (1.8-4.7) for DWI, and 3.4 (2.5-4.7) for DCE. CONCLUSION There is wide variation in compliance with recognised technical standards and image quality across sites. If MRI is to replace biopsy in selected low-risk patients, improvements in image quality may be required.
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Affiliation(s)
- P R Burn
- Department of Diagnostic Imaging, Taunton and Somerset NHS Foundation Trust, Taunton, UK.
| | - S J Freeman
- Medical Imaging Department, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - A Andreou
- Department of Radiology, Royal United Hospital Bath NHS Foundation Trust, Bath, UK
| | - N Burns-Cox
- Department of Urology, Taunton and Somerset NHS Foundation Trust, Taunton, UK
| | - R Persad
- Department of Urology, North Bristol NHS Trust, Bristol, UK
| | - T Barrett
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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32
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Barrett T, Rajesh A, Rosenkrantz AB, Choyke PL, Turkbey B. PI-RADS version 2.1: one small step for prostate MRI. Clin Radiol 2019; 74:841-852. [PMID: 31239107 DOI: 10.1016/j.crad.2019.05.019] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 05/30/2019] [Indexed: 12/19/2022]
Abstract
Multiparametric (mp) prostate magnetic resonance imaging (MRI) is playing an increasingly prominent role in the diagnostic work-up of patients with suspected prostate cancer. Performing mpMRI before biopsy offers several advantages including biopsy avoidance under certain clinical circumstances and targeting biopsy of suspicious lesions to enable the correct diagnosis. The success of the technique is heavily dependent on high-quality image acquisition, interpretation, and report communication, all areas addressed by previous versions of the Prostate Imaging-Reporting and Data System (PI-RADS) recommendations. Numerous studies have validated the approach, but the widespread adoption of PI-RADS version 2 has also highlighted inconsistencies and limitations, particularly relating to interobserver variability for evaluation of the transition zone. These limitations are addressed in the recently released version 2.1. In this article, we highlight the key changes proposed in PI-RADS v2.1 and explore the background reasoning and evidence for the recommendations.
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Affiliation(s)
- T Barrett
- Department of Radiology, Addenbrooke's Hospital and the University of Cambridge, Cambridge CB2 0QQ, UK.
| | - A Rajesh
- University Hospitals of Leicester NHS Trust, Leicester General Hospital, Radiology Department, Gwendolen Road, Leicester LE5 4PW, UK
| | - A B Rosenkrantz
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016, USA
| | - P L Choyke
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - B Turkbey
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
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33
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Garshick MS, Barrett T, Wechter T, Azarchi S, Scher J, Neimann A, Katz S, Fuentes-Duculan J, Cannizzaro MV, Jelic S, Fisher EA, Krueger JG, Berger JS. Inflammasome Signaling and Impaired Vascular Health in Psoriasis. Arterioscler Thromb Vasc Biol 2019; 39:787-798. [PMID: 30760013 PMCID: PMC6436998 DOI: 10.1161/atvbaha.118.312246] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [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: 01/13/2023]
Abstract
Objective- Psoriasis is an inflammatory skin disease which heightens the risk of cardiovascular disease. This study directly investigated vascular endothelial health and systemically altered pathways in psoriasis and matched controls. Approach and Results- Twenty patients (mean age, 40 years; 50% male) with active psoriasis and 10 age-, sex-matched controls were recruited. To investigate systemically alerted pathways, a deep sequencing omics approach was applied, including unbiased blood transcriptomic and targeted proteomic analysis. Vascular endothelial health was assessed by transcriptomic profiling of endothelial cells obtained from the brachial veins of recruited participants. Blood transcriptomic profiling identified inflammasome signaling as the highest differentially expressed canonical pathway ( Z score 1.6; P=1×10-7) including upregulation of CASP5 and interleukin ( IL) -1β. Proteomic panels revealed IL-6 as a top differentially expressed cytokine in psoriasis with pathway analysis highlighting IL-1β ( Z score 3.7; P=1.02×10-23) as an upstream activator of the observed upregulated proteins. Direct profiling of harvested brachial vein endothelial cells demonstrated inflammatory transcript (eg, IL-1β, CXCL10, VCAM-1, IL-8, CXCL1, Lymphotoxin beta, ICAM-1, COX-2, and CCL3) upregulation between psoriasis versus controls. A linear relationship was seen between differentially expressed endothelial inflammatory transcripts and psoriasis disease severity. IL-6 levels correlated with inflammatory endothelial cell transcripts and whole blood inflammasome-associated transcripts, including CASP5 and IL-1β. Conclusions- An unbiased sequencing approach demonstrated the inflammasome as the most differentially altered pathway in psoriasis versus controls. Inflammasome signaling correlated with psoriasis disease severity, circulating IL-6, and proinflammatory endothelial transcripts. These findings help better explain the heightened risk of cardiovascular disease in psoriasis. Clinical Trial Registration- URL: http://www.clinicaltrials.gov . Unique identifier: NCT03228017.
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Affiliation(s)
- Michael S. Garshick
- Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University School of Medicine;,Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine
| | - Tessa Barrett
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine
| | | | - Sarah Azarchi
- Ronald O. Perelman Department of Dermatology, New York University School of Medicine
| | - Jose Scher
- Psoriatic Arthritis Center, Division of Rheumatology, Department of Medicine, New York University School of Medicine
| | - Andrea Neimann
- Ronald O. Perelman Department of Dermatology, New York University School of Medicine
| | - Stuart Katz
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine
| | | | | | - Sanja Jelic
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, Columbia University Medical Center
| | - Edward A. Fisher
- Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University School of Medicine;,Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine
| | - James G. Krueger
- Laboratory for Investigative Dermatology, Rockefeller University
| | - Jeffrey S. Berger
- Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University School of Medicine;,Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine;,Division of Vascular Surgery, Department of Surgery, New York University School of Medicine
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G, Browning T, Coughenour M, Sulk E, Tsalikan M, Tansey J, Cabbage N. Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes. Diabetes Care 2019; 42:192-199. [PMID: 30061316 PMCID: PMC6341285 DOI: 10.2337/dc18-0288] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 06/28/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
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Affiliation(s)
- Taylor M. Triolo
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Alexandra Fouts
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Laura Pyle
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Peter A. Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
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Maviglia F, Albanese R, Ambrosino R, Arter W, Bachmann C, Barrett T, Federici G, Firdaous M, Gerardin J, Kovari M, Loschiavo V, Mattei M, Villone F, Wenninger R. Wall protection strategies for DEMO plasma transients. Fusion Engineering and Design 2018. [DOI: 10.1016/j.fusengdes.2018.02.064] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Fursdon M, You JH, Barrett T, Li M. A hybrid analysis procedure enabling elastic design rule assessment of monoblock-type divertor components. Fusion Engineering and Design 2018. [DOI: 10.1016/j.fusengdes.2018.07.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Redondo MJ, Geyer S, Steck AK, Sharp S, Wentworth JM, Weedon MN, Antinozzi P, Sosenko J, Atkinson M, Pugliese A, Oram RA, Antinozzi P, Atkinson M, Battaglia M, Becker D, Bingley P, Bosi E, Buckner J, Colman P, Gottlieb P, Herold K, Insel R, Kay T, Knip M, Marks J, Moran A, Palmer J, Peakman M, Philipson L, Pugliese A, Raskin P, Rodriguez H, Roep B, Russell W, Schatz D, Wherrett D, Wilson D, Winter W, Ziegler A, Benoist C, Blum J, Chase P, Clare-Salzler M, Clynes R, Eisenbarth G, Fathman C, Grave G, Hering B, Kaufman F, Leschek E, Mahon J, Nanto-Salonen K, Nepom G, Orban T, Parkman R, Pescovitz M, Peyman J, Roncarolo M, Simell O, Sherwin R, Siegelman M, Steck A, Thomas J, Trucco M, Wagner J, Greenbaum ,CJ, Bourcier K, Insel R, Krischer JP, Leschek E, Rafkin L, Spain L, Cowie C, Foulkes M, Krause-Steinrauf H, Lachin JM, Malozowski S, Peyman J, Ridge J, Savage P, Skyler JS, Zafonte SJ, Kenyon NS, Santiago I, Sosenko JM, Bundy B, Abbondondolo M, Adams T, Amado D, Asif I, Boonstra M, Bundy 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Espinoza O, Frank E, Liu J, Perry J, Pyle R, Rigby A, Riley K, Soto A, Gitelman S, Adi S, Anderson M, Berhel A, Breen K, Fraser K, Gerard-Gonzalez A, Jossan P, Lustig R, Moassesfar S, Mugg A, Ng D, Prahalod P, Rangel-Lugo M, Sanda S, Tarkoff J, Torok C, Wesch R, Aslan I, Buchanan J, Cordier J, Hamilton C, Hawkins L, Ho T, Jain A, Ko K, Lee T, Phelps S, Rosenthal S, Sahakitrungruang T, Stehl L, Taylor L, Wertz M, Wong J, Philipson L, Briars R, Devine N, Littlejohn E, Grant T, Gottlieb P, Klingensmith G, Steck A, Alkanani A, Bautista K, Bedoy R, Blau A, Burke B, Cory L, Dang M, Fitzgerald-Miller L, Fouts A, Gage V, Garg S, Gesauldo P, Gutin R, Hayes C, Hoffman M, Ketchum K, Logsden-Sackett N, Maahs D, Messer L, Meyers L, Michels A, Peacock S, Rewers M, Rodriguez P, Sepulbeda F, Sippl R, Steck A, Taki I, Tran BK, Tran T, Wadwa RP, Zeitler P, Barker J, Barry S, Birks L, Bomsburger L, Bookert T, Briggs L, Burdick P, Cabrera R, Chase P, Cobry E, Conley A, Cook G, Daniels J, DiDomenico D, 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Castleden H, Farthing N, Loud S, Matthews C, McGhee J, Morgan A, Pollitt J, Elliot-Jones R, Wheaton C, Knip M, Siljander H, Suomalainen H, Colman P, Healy F, Mesfin S, Redl L, Wentworth J, Willis J, Farley M, Harrison L, Perry C, Williams F, Mayo A, Paxton J, Thompson V, Volin L, Fenton C, Carr L, Lemon E, Swank M, Luidens M, Salgam M, Sharma V, Schade D, King C, Carano R, Heiden J, Means N, Holman L, Thomas I, Madrigal D, Muth T, Martin C, Plunkett C, Ramm C, Auchus R, Lane W, Avots E, Buford M, Hale C, Hoyle J, Lane B, Muir A, Shuler S, Raviele N, Ivie E, Jenkins M, Lindsley K, Hansen I, Fadoju D, Felner E, Bode B, Hosey R, Sax J, Jefferies C, Mannering S, Prentis R, She J, Stachura M, Hopkins D, Williams J, Steed L, Asatapova E, Nunez S, Knight S, Dixon P, Ching J, Donner T, Longnecker S, Abel K, Arcara K, Blackman S, Clark L, Cooke D, Plotnick L, Levin P, Bromberger L, Klein K, Sadurska K, Allen C, Michaud D, Snodgrass H, Burghen G, Chatha S, Clark C, Silverberg J, Wittmer C, Gardner J, LeBoeuf C, Bell P, McGlore O, Tennet H, Alba N, Carroll M, Baert L, Beaton H, Cordell E, Haynes A, Reed C, Lichter K, McCarthy P, McCarthy S, Monchamp T, Roach J, Manies S, Gunville F, Marosok L, Nelson T, Ackerman K, Rudolph J, Stewart M, McCormick K, May S, Falls T, Barrett T, Dale K, Makusha L, McTernana C, Penny-Thomas K, Sullivan K, Narendran P, Robbie J, Smith D, Christensen R, Koehler B, Royal C, Arthur T, Houser H, Renaldi J, Watsen S, Wu P, Lyons L, House B, Yu J, Holt H, Nation M, Vickers C, Watling R, Heptulla R, Trast J, Agarwal C, Newell D, Katikaneni R, Gardner C, Del Rio A, Logan A, Collier H, Rishton C, Whalley G, Ali A, Ramtoola S, Quattrin T, Mastrandea L, House A, Ecker M, Huang C, Gougeon C, Ho J, Pacuad D, Dunger D, May J, O’Brien C, Acerini C, Salgin B, Thankamony A, Williams R, Buse J, Fuller G, Duclos M, Tricome J, Brown H, Pittard D, Bowlby D, Blue A, Headley T, Bendre S, Lewis K, Sutphin K, Soloranzo C, Puskaric J, Madison H, Rincon M, Carlucci M, 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Trunnel S, Transue D, Surhigh J, Bezzaire D, Moltz K, Zacharski E, Henske J, Desai S, Frizelis K, Khan F, Sjoberg R, Allen K, Manning P, Hendry G, Taylor B, Jones S, Couch R, Danchak R, Lieberman D, Strader W, Bencomo M, Bailey T, Bedolla L, Roldan C, Moudiotis C, Vaidya B, Anning C, Bunce S, Estcourt S, Folland E, Gordon E, Harrill C, Ireland J, Piper J, Scaife L, Sutton K, Wilkins S, Costelloe M, Palmer J, Casas L, Miller C, Burgard M, Erickson C, Hallanger-Johnson J, Clark P, Taylor W, Galgani J, Banerjee S, Banda C, McEowen D, Kinman R, Lafferty A, Gillett S, Nolan C, Pathak M, Sondrol L, Hjelle T, Hafner S, Kotrba J, Hendrickson R, Cemeroglu A, Symington T, Daniel M, Appiagyei-Dankah Y, Postellon D, Racine M, Kleis L, Barnes K, Godwin S, McCullough H, Shaheen K, Buck G, Noel L, Warren M, Weber S, Parker S, Gillespie I, Nelson B, Frost C, Amrhein J, Moreland E, Hayes A, Peggram J, Aisenberg J, Riordan M, Zasa J, Cummings E, Scott K, Pinto T, Mokashi A, McAssey K, Helden E, Hammond P, Dinning L, Rahman S, Ray S, Dimicri C, Guppy S, Nielsen H, Vogel C, Ariza C, Morales L, Chang Y, Gabbay R, Ambrocio L, Manley L, Nemery R, Charlton W, Smith P, Kerr L, Steindel-Kopp B, Alamaguer M, Tabisola-Nuesca E, Pendersen A, Larson N, Cooper-Olviver H, Chan D, Fitz-Patrick D, Carreira T, Park Y, Ruhaak R, Liljenquist D. A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk. Diabetes Care 2018; 41:1887-1894. [PMID: 30002199 PMCID: PMC6105323 DOI: 10.2337/dc18-0087] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/06/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
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Affiliation(s)
- Maria J. Redondo
- Texas Children’s Hospital, Baylor College of Medicine, Houston, TX
| | | | - Andrea K. Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Seth Sharp
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | - John M. Wentworth
- Walter and Eliza Hall Institute of Medical Research and Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | | | | | | | | | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
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| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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39
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You J, Visca E, Barrett T, Böswirth B, Crescenzi F, Domptail F, Fursdon M, Gallay F, Ghidersa BE, Greuner H, Li M, Müller A, Reiser J, Richou M, Roccella S, Vorpahl C. European divertor target concepts for DEMO: Design rationales and high heat flux performance. Nuclear Materials and Energy 2018. [DOI: 10.1016/j.nme.2018.05.012] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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40
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Saint R, Evans W, Zhou Y, Barrett T, Fromhold TM, Saleh E, Maskery I, Tuck C, Wildman R, Oručević F, Krüger P. 3D-printed components for quantum devices. Sci Rep 2018; 8:8368. [PMID: 29849028 PMCID: PMC5976634 DOI: 10.1038/s41598-018-26455-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 05/09/2018] [Indexed: 11/18/2022] Open
Abstract
Recent advances in the preparation, control and measurement of atomic gases have led to new insights into the quantum world and unprecedented metrological sensitivities, e.g. in measuring gravitational forces and magnetic fields. The full potential of applying such capabilities to areas as diverse as biomedical imaging, non-invasive underground mapping, and GPS-free navigation can only be realised with the scalable production of efficient, robust and portable devices. We introduce additive manufacturing as a production technique of quantum device components with unrivalled design freedom and rapid prototyping. This provides a step change in efficiency, compactness and facilitates systems integration. As a demonstrator we present an ultrahigh vacuum compatible ultracold atom source dissipating less than ten milliwatts of electrical power during field generation to produce large samples of cold rubidium gases. This disruptive technology opens the door to drastically improved integrated structures, which will further reduce size and assembly complexity in scalable series manufacture of bespoke portable quantum devices.
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Affiliation(s)
- R Saint
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9QH, United Kingdom
| | - W Evans
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9QH, United Kingdom
| | - Y Zhou
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
| | - T Barrett
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9QH, United Kingdom
| | - T M Fromhold
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
| | - E Saleh
- Faculty of Engineering, EPSRC Centre for Innovative Manufacturing in Additive Manufacturing, University of Nottingham, Nottingham, United Kingdom
| | - I Maskery
- Faculty of Engineering, EPSRC Centre for Innovative Manufacturing in Additive Manufacturing, University of Nottingham, Nottingham, United Kingdom
| | - C Tuck
- Faculty of Engineering, EPSRC Centre for Innovative Manufacturing in Additive Manufacturing, University of Nottingham, Nottingham, United Kingdom
| | - R Wildman
- Faculty of Engineering, EPSRC Centre for Innovative Manufacturing in Additive Manufacturing, University of Nottingham, Nottingham, United Kingdom
| | - F Oručević
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9QH, United Kingdom
| | - P Krüger
- School of Physics and Astronomy, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom.
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9QH, United Kingdom.
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41
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Garshick MS, Barrett T, Scher J, Neimann A, Katz S, Li X, Jelic S, Krueger J, Berger JS. Abstract 256: The Direct Characterization of Endothelial Inflammation in Patients with Psoriasis. Arterioscler Thromb Vasc Biol 2018. [DOI: 10.1161/atvb.38.suppl_1.256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective:
Psoriasis, an inflammatory autoimmune disease, increases the risk of cardiovascular disease (CVD). Active psoriatic disease is linked to systemic vascular inflammation, yet how this contributes to CVD is unknown. Using
in vivo
and
ex-vivo
measures of the vascular endothelium our study investigates the vascular health of psoriasis patients to better understand the mechanism(s) that predispose psoriatics to CVD.
Methods:
Ten patients with active psoriasis (average age 46 years, 50% male (5 of 10), 6% [3.5% – 90%] body surface area involvement) were compared to age- and sex- matched controls.
In vivo
vascular endothelial function was assessed by brachial artery reactivity testing (BART, %) with high resolution ultrasonography. Venous endothelial cells were collected from the brachial vein using guidewires inserted through an angiocatheter and isolated with magnetic beads directed against CD146. Following collection, endothelial RNA was isolated, converted to cDNA and inflammatory gene profiling performed by RT-qPCR with Taqman probes and primers.
Results:
Transcriptomic profiling of venous endothelial cells revealed upregulation of genes associated with inflammatory cytokines and chemokines (
lymphotoxin beta
[2.5 - fold],
CCL3
[3.5 - fold], and
IL-1
β
[2.8 - fold], P < 0.05 for all) and genes related to intracellular adhesion and inflammation (
ICAM1
[2.3 – fold] and
COX-2
[1.4 – fold], P < 0.05 for both) in psoriatics vs. controls. Unexpectedly, endothelial nitric oxide synthase (eNOS) and phosphorylated eNOS (higher levels indicate healthy endothelial NO production) were upregulated (2 - 3 fold) in psoriatics vs. controls (p = 0.24, p = 0.14 respectively). BART was also higher in psoriatics when compared to controls (7.1 ± 1% vs. 3.9 ± 2.7%, P = 0.03).
Conclusion:
This cross-sectional study is the first to directly examine the vascular endothelium of psoriatic patients. Compared to controls, active psoriatic disease was associated with upregulation of cytokines, chemokines and genes regulating intracellular adhesion as well as increased expression of eNOS, and increased BART. These findings suggest potential mechanisms to explain the increased prevalence of atherosclerosis and CVD risk seen in those with psoriasis.
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Affiliation(s)
| | | | | | | | | | - Xuan Li
- Rockefeller Univ, New York, NY
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42
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McLuckie A, Matheson KM, Landers AL, Landine J, Novick J, Barrett T, Dimitropoulos G. The Relationship Between Psychological Distress and Perception of Emotional Support in Medical Students and Residents and Implications for Educational Institutions. Acad Psychiatry 2018; 42:41-47. [PMID: 29124715 DOI: 10.1007/s40596-017-0800-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [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: 04/17/2017] [Accepted: 08/17/2017] [Indexed: 05/26/2023]
Abstract
OBJECTIVE Psychological distress is pervasive among medical students and residents (MSR) and is associated with academic under-performance, decreased empathy, burnout, and suicidal ideation. To date, there has been little examination of how demographic and socioeconomic factors influence trainee's psychological distress levels, despite suggestion that financial concerns are a common source of stress. Recent Canadian studies examining the prevalence of distress, burnout, and resilience in MSR are limited. METHODS Undergraduate and postgraduate medical trainees attending a Canadian university were surveyed. The questionnaire included standardized instruments to evaluate psychological distress, burnout, and resilience. Additional items explored MSR living and domestic circumstances, and anticipated debt upon training completion. Ordinary least squares regression models determined predictors of psychological distress, risk for burnout, and resiliency. Logistic regression of psychological distress predicted risk of MSR contemplating dropping out of their training program. RESULTS Feeling emotionally/psychologically unsupported while attending university was a key predictor of psychological distress and burnout, while feeling supported reduces this risk. Risk for burnout increased with each year of medical training. Psychologically distressed MSR were at significantly greater odds of contemplating dropping out of their medical training program. CONCLUSIONS Our results point to the important opportunity universities and medical schools have promoting MSR well-being by reducing institutional stressors, as well as teaching and promoting self-care and burnout avoidance techniques, instituting wellness interventions, and developing programs to identify and support at risk and distressed students.
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Affiliation(s)
| | | | - Ashley L Landers
- Virginia Polytechnic Institute & State University, Falls Church, VA, USA
| | - Jeff Landine
- University of New Brunswick, Fredericton, NB, Canada
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43
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Slough RA, Caglic I, Hansen NL, Patterson AJ, Barrett T. Effect of hyoscine butylbromide on prostate multiparametric MRI anatomical and functional image quality. Clin Radiol 2018; 73:216.e9-216.e14. [PMID: 28803622 DOI: 10.1016/j.crad.2017.07.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 06/23/2017] [Accepted: 07/14/2017] [Indexed: 10/19/2022]
Abstract
AIM To evaluate the effect of the spasmolytic agent hyoscine butylbromide (HBB) on the quality of anatomical and functional imaging of the prostate. MATERIALS AND METHODS One hundred and seventy-three patients were included in this retrospective study. Eighty-seven patients received intravenous HBB prior to scanning (HBB group) and 86 patients did not (non-HBB group). Multiparametric (mp) 3 T magnetic resonance imaging (MRI) was performed using a 32-channel body coil. Two radiologists independently evaluated the image quality of T2-weighted imaging (WI), diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps, using a five-point Likert scale. DWI was further assessed for distortion and artefact (four-point Likert scale), and T2WI for the presence of motion artefact or blurring. Dynamic contrast-enhanced (DCE) image quality was assessed by recording the number of corrupt contrast curve data points. RESULTS T2W image quality in the HBB group was significantly higher than in the non-HBB group (3.63±1.11 versus 2.84±0.899); p<0.001. The HBB group also showed significantly less T2W motion and T2W blur than the non-HBB group (23% and 51.7% versus 53.5% and 83.7%, respectively; p<0.001); however, there was no significant improvement in DWI or ADC image quality, or DWI degree of distortion or artefact. There was a trend towards a lower number of corrupted data points from the contrast curve (2.47±2.44 versus 3.68±2.64), but this did not reach significance (p=0.052). CONCLUSION Administration of HBB significantly improves the image quality of T2WI images. These results provide evidence for the use of HBB in routine patient preparation prior to prostate mpMRI.
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Affiliation(s)
- R A Slough
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - I Caglic
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
| | - N L Hansen
- Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany; CamPARI Clinic, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - A J Patterson
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - T Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK; CamPARI Clinic, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
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44
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Shimwell J, Lu L, Qiu Y, Pereslavtsev P, Häußler A, Hernández F, Zeile C, Eade T, Spagnuolo G, McIntosh S, Packer L, Barrett T. Automated parametric neutronics analysis of the Helium Cooled Pebble Bed breeder blanket with Be 12 Ti. Fusion Engineering and Design 2017. [DOI: 10.1016/j.fusengdes.2017.01.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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45
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Banner D, Kandola D, Hadi H, Hennessy B, Barrett T, Transken S. THE POWER OF STORYTELLING: LISTENING AND LEARNING FOR IMPROVED STROKE CARE IN NORTHERN AND RURAL BRITISH COLUMBIA. Can J Cardiol 2017. [DOI: 10.1016/j.cjca.2017.07.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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46
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Hansen NL, Koo BC, Warren AY, Kastner C, Barrett T. Sub-differentiating equivocal PI-RADS-3 lesions in multiparametric magnetic resonance imaging of the prostate to improve cancer detection. Eur J Radiol 2017; 95:307-313. [PMID: 28987685 DOI: 10.1016/j.ejrad.2017.08.017] [Citation(s) in RCA: 40] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 08/13/2017] [Accepted: 08/16/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE To evaluate sub-differentiation of PI-RADS-3 prostate lesions using pre-defined T2- and diffusion-weighted (DWI) MRI criteria, to aid the biopsy decision process. METHODS 143 patients with PIRADS-3 index lesions on MRI underwent targeted transperineal-MR/US fusion biopsy. Radiologists with 2 and 7-years experience performed blinded retrospective second-reads using set criteria and assigned biopsy recommendations. Inter-reader agreement, Gleason score (GS), positive (PPV) predictive values (±95% confidence intervals) were calculated and compared by Fisher's exact test with Bonferroni-Hom correction. RESULTS 43% (61/143) patients had GS 6-10 and 21% (30/143) GS≥3+4 cancer. For peripheral zone lesions, significant differences in any cancer detection were found for shape (0.26±0.13 geographical vs. 0.69±0.23 rounded; p=0.0055) and ADC (mild 0.21±0.12 vs marked 0.81±0.19; p=0.0001). For transition zone, significantly increased cancer detection was shown for location (anterior 0.63±0.15 vs. mid/posterior 0.31±0.14; p=0.0048), border (pseudo-capsule 0.32±0.14 vs. ill-defined 0.61±0.15; p=0.0092), and ADC (mild 0.35±0.12 vs marked restriction 0.68±0.17; p=0.0057). Biopsy recommendations had 62% inter-reader agreement (89/143). Experienced reader PPVs were significantly higher for any cancer with "biopsy-recommended" 0.61±0.11 vs. "no biopsy" 0.21±0.10 (p=0.0001), and for GS 7-10 cancers: 0.32±0.10 vs. 0.08±0.07, respectively (p=0.0003). CONCLUSION Identification of certain objective imaging criteria as well as a subjective biopsy recommendation from an experienced radiologist can help to increase the predictive value of equivocal prostate lesions and inform the decision making process of whether or not to biopsy.
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Affiliation(s)
- N L Hansen
- CamPARI Clinic, Addenbrooke's Hospital & University of Cambridge, Cambridge, UK; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, DE, Germany
| | - B C Koo
- CamPARI Clinic, Addenbrooke's Hospital & University of Cambridge, Cambridge, UK; Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - A Y Warren
- CamPARI Clinic, Addenbrooke's Hospital & University of Cambridge, Cambridge, UK; Department of Pathology, Addenbrooke's Hospital, Cambridge, UK
| | - C Kastner
- CamPARI Clinic, Addenbrooke's Hospital & University of Cambridge, Cambridge, UK; Department of Urology, Addenbrooke's Hospital, Cambridge, UK
| | - T Barrett
- CamPARI Clinic, Addenbrooke's Hospital & University of Cambridge, Cambridge, UK; Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
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47
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Thurtle D, Treece GM, Barrett T, Gnanapragasam VJ. Novel three-dimensional bone 'mapping' software can help assess progression of osseous metastases from routine CT. Radiat Oncol 2017; 12:143. [PMID: 28854948 PMCID: PMC5577835 DOI: 10.1186/s13014-017-0880-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 08/24/2017] [Indexed: 11/10/2022] Open
Abstract
Imaging of bone metastasis response to therapy is a research priority. Stradwin is a new software-tool, with demonstrated sub-voxel accuracy in assessing cortical bone properties from routine CT. We applied this technology to the context of osseous metastases, with particular focus on disease progression using prostate cancer as a model. 3D-rendered 'bone-maps' were produced for 20 men with advanced prostate cancer, including a sub-cohort of 9 who had undergone serial scans. Correlation between baseline interpretation and assessments of progression between modalities was assessed. Bone-maps took significantly less time to interpret than CT bone windows (P < 0.001). Initial bone-mapping, without adjustment, demonstrated sensitivity and specificity for suspicious areas on CT of 70.7% and 73.1% respectively. Evaluating disease over time, concordance between bone-maps and current practice using RECIST outcomes was 100%.This study demonstrates the feasibility and potential use of this free post-processing software in the serial assessment of osseous metastases.
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Affiliation(s)
- D. Thurtle
- Academic Urology Group, Department of Surgery, University of Cambridge, Box 279, Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
- Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, CB2 0QQ UK
| | - G. M. Treece
- Medical Imaging Group, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK
| | - T. Barrett
- Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, CB2 0QQ UK
- Department of Radiology, University of Cambridge School of Clinical Medicine, Hills Road, Cambridge, CB2 0QQ UK
| | - V. J. Gnanapragasam
- Academic Urology Group, Department of Surgery, University of Cambridge, Box 279, Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
- Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, CB2 0QQ UK
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48
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Migone C, Barrett T, Cotter S, Clarke A, Corcoran B. The Uptake of Human Papillomavirus Vaccine In Irish Schools: The Impact Of Disadvantage. Ir Med J 2017; 110:603. [PMID: 29341515] [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: 06/07/2023]
Abstract
HPV vaccine Gardasil© is offered to girls in first year of secondary school in Ireland. We aimed to determine the association between HPV vaccine uptake among girls for academic year 2013/2014, by school and school characteristics: socioeconomic disadvantage and religious ethos. The National Schools Immunisation System (SIS) was searched to determine HPV vaccine uptake in schools for 2013/2014 (prior to recent anti-HPV vaccine publicity). The disadvantaged status and ethos of each school was added to the report. In total 577 schools were identified. Mean vaccine uptake was 83.7%. Disadvantaged schools had a lower mean uptake (%) than other schools (79.4% vs 85.0%, difference 5.58%, 95%CI 2.69-8.21) and were twice as likely to have an uptake of ?50% (OR 2.07, 95% CI 2.76 - 5.18). No difference was found between schools of different ethoses. HPV vaccine uptake is lower in disadvantaged Irish schools. Policies should be developed to ensure a more equitable uptake of HPV vaccine.
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Affiliation(s)
- C Migone
- Department of Public Health, Health Service Executive-East, Dr Steevens' Hospital, Dublin 8, Ireland
| | - T Barrett
- National Immunisation Office, Units 8-9 Manor Street Business Park, Manor Street, Dublin 7, Ireland
| | - S Cotter
- Health Protection Surveillance Centre, 25-27 Middle Gardiner Street, Dublin 1, Ireland
| | - A Clarke
- National Immunisation Office, Units 8-9 Manor Street Business Park, Manor Street, Dublin 7, Ireland
| | - B Corcoran
- National Immunisation Office, Units 8-9 Manor Street Business Park, Manor Street, Dublin 7, Ireland
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49
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Garshick M, Barrett T, Zhou F, Blaser M, Fisher E. Abstract 5: The Contribution of Microbiome Alterations to Atherosclerotic Plaque Regression in Mice. Arterioscler Thromb Vasc Biol 2017. [DOI: 10.1161/atvb.37.suppl_1.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective:
The human microbiome represents an underexplored driver of atherosclerosis. Alterations to the intestinal microbiome are associated with, systemic inflammation and upregulation of M1 macrophages (Mϕ). Our study aims to determine if alterations to the intestinal microbiome by antibiotic treatment interferes with atherosclerotic plaque regression in mice.
Methods:
ApoE
-/-
mice were fed a western diet for 16 weeks to develop complex atherosclerosis in aortic arches. These arches were transplanted into the abdominal aorta of wild-type (WT) mice to model clinical aggressive lipid management and promote plaque regression. To assess the contribution of the microbiome to plaque regression, aortic arches were transplanted in WT mice (n=4), and WT mice pulsed with tylosin (antibiotic, n = 4) 3 days pre-transplant and the duration of the experiment (5 days). Arches were also transplanted into
ApoE
-/-
mice as a plaque progression control (n =4).
Results:
Antibiotic treatment of WT mice with tylosin compared to control WT mice did not change circulating total cholesterol (TC, 57 ± 21 mg/dl vs. 46 ± 24 mg/dl, p = 0.5), or HDL-C (42 ± 8 mg/dl vs. 34 ± 11 mg/dl, p = 0.32). No statistically significant difference in plaque size (117,801 ± 70,921 μm
2
vs. 133,286 ± 19,871 μm
2
vs. 132,976 ± 40,347 μm
2
, p = 0.88) or the absolute Mϕ content (44,672 ± 27,154 μm
2
vs. 32,546 ± 21,226 μm
2
vs. 54,154 ± 22,418 μm
2
, p = 0.47) was observed in WT mice which received tylosin, compared to control WT and
ApoE
-/-
mice, respectively. The composition of the plaques however did change: When compared to the control
ApoE
-/-
mice, WT recipient mice had a 26% reduction in the percent of the plaques occupied by Mϕ, while WT mice receiving tylosin had only a 4% reduction (p = 0.07). There was a 20% difference between the percent of plaque Mϕ content in the WT receiving tylosin, compared to WT controls (38% ± 4.3 vs. 30% ± 6.2, p = 0.07).
Conclusion:
Tylosin-treated WT mice undergoing regression had Mϕ enrichment in their plaques compared to WT controls. This study suggests that microbiome alterations can negatively influence plaque regression. Intestinal microbiome analysis and further studies are needed to confirm and extend this finding.
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Affiliation(s)
| | | | - Felix Zhou
- New York Univ Med Cntr, New York CIty, NY
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50
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Senatus LM, Lopez-Diez R, Liu J, Li H, Daffu G, Li Q, Rahman K, Vengrenyuk Y, Barrett T, Friedman R, Ramasamy R, Fisher E, Schmidt A. Abstract 48: Role of Receptor for Advanced Glycation End Products (RAGE) in Regression of Diabetic Atherosclerosis. Arterioscler Thromb Vasc Biol 2017. [DOI: 10.1161/atvb.37.suppl_1.48] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Atherosclerosis is a chronic inflammatory disorder. Both progression and regression of atherosclerosis are adversely affected by diabetes. A key player in these processes is Receptor for Advanced Glycation End Products (RAGE). RAGE is a multiligand cell surface macromolecule, which binds ligands enriched in atherosclerotic plaques, such as advanced glycation endproducts (AGEs). RAGE is expressed on a wide array of cell types implicated in cardiovascular disease, such as endothelial cells, and inflammatory cells such as macrophages. The cytoplasmic domain of RAGE binds to the formin molecule DIAPH1 and DIAPH1 is required for RAGE ligands to activate cell signaling responses. RAGE acts as a key mediator of oxidative and inflammatory signaling pathways that are involved in atherosclerosis. We tested mechanisms of impaired regression of atherosclerosis in a murine model of aorta transplantation and found that deletion of
Ager
or
Diaph1
in diabetic mice recipients of
Ldlr
null mice atherosclerotic aortas accelerates atherosclerosis regression and significantly reduces the lesional macrophage content when compared to diabetic wild-type recipient mice. The antiatherosclerotic effects in diabetic
Ager
null mice and diabetic
Diaph1
null mice include reduced RAGE ligand AGEs in transplanted aortas, with reduced expression of a range of proatherogenic factors, including reactive oxygen species and inflammatory cytokines implicated in leukocyte recruitment and activation. We employed RNA sequencing to identify the key transcriptional events by which RAGE mediates its effects in donor or recipient macrophages in diabetic regressing plaques. Our results suggest that critical gene expression profiles, including those genes involved in inflammation, endothelial dysfunction, oxidative stress, monocyte/macrophage fate (recruitment, differentiation, proliferation), signal transduction and lipid metabolism, are beneficially modulated, at least in part, via
Ager
deletion in atherosclerosis regression. Taken together, these data increase our understanding of the role of RAGE in diabetic atherosclerosis, particularly in macrophages, and may provide avenues for therapeutic strategies to accelerate regression of atherosclerosis in diabetes.
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