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Levin-Epstein R, Kumar P, Rusheen J, Fleming RG, McWatters Z, Kim W, Kaprealian TB, West B, Tobis JM. Investigation of patent foramen ovale as a mechanism for brain metastasis in patients without prior lung involvement. Clin Transl Oncol 2020; 23:783-787. [DOI: 10.1007/s12094-020-02471-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/01/2020] [Indexed: 11/30/2022]
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Lee KS, Kwak HJ, Oh JM, Jha N, Kim YJ, Kim W, Baik UB, Ryu JJ. Automated Detection of TMJ Osteoarthritis Based on Artificial Intelligence. J Dent Res 2020; 99:1363-1367. [PMID: 32609562 DOI: 10.1177/0022034520936950] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The purpose of this study was to develop a diagnostic tool to automatically detect temporomandibular joint osteoarthritis (TMJOA) from cone beam computed tomography (CBCT) images with artificial intelligence. CBCT images of patients diagnosed with temporomandibular disorder were included for image preparation. Single-shot detection, an object detection model, was trained with 3,514 sagittal CBCT images of the temporomandibular joint that showed signs of osseous changes in the mandibular condyle. The region of interest (condylar head) was defined and classified into 2 categories-indeterminate for TMJOA and TMJOA-according to image analysis criteria for the diagnosis of temporomandibular disorder. The model was tested with 2 sets of 300 images in total. The average accuracy, precision, recall, and F1 score over the 2 test sets were 0.86, 0.85, 0.84, and 0.84, respectively. Automated detection of TMJOA from sagittal CBCT images is possible by using a deep neural networks model. It may be used to support clinicians with diagnosis and decision making for treatments of TMJOA.
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Kim W, Lee N, Hwang S, Lee Y, Kim J, Cho S, Palsson B, Cho BK. Comparative Genomics Determines Strain-Dependent Secondary Metabolite Production in Streptomyces venezuelae Strains. Biomolecules 2020; 10:biom10060864. [PMID: 32516997 PMCID: PMC7357120 DOI: 10.3390/biom10060864] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/30/2020] [Accepted: 06/01/2020] [Indexed: 02/02/2023] Open
Abstract
Streptomyces venezuelae is well known to produce various secondary metabolites, including chloramphenicol, jadomycin, and pikromycin. Although many strains have been classified as S. venezuelae species, only a limited number of strains have been explored extensively for their genomic contents. Moreover, genomic differences and diversity in secondary metabolite production between the strains have never been compared. Here, we report complete genome sequences of three S. venezuelae strains (ATCC 10712, ATCC 10595, and ATCC 21113) harboring chloramphenicol and jadomycin biosynthetic gene clusters (BGC). With these high-quality genome sequences, we revealed that the three strains share more than 85% of total genes and most of the secondary metabolite biosynthetic gene clusters (smBGC). Despite such conservation, the strains produced different amounts of chloramphenicol and jadomycin, indicating differential regulation of secondary metabolite production at the strain level. Interestingly, antagonistic production of chloramphenicol and jadomycin was observed in these strains. Through comparison of the chloramphenicol and jadomycin BGCs among the three strains, we found sequence variations in many genes, the non-coding RNA coding regions, and binding sites of regulators, which affect the production of the secondary metabolites. We anticipate that these genome sequences of closely related strains would serve as useful resources for understanding the complex secondary metabolism and for designing an optimal production process using Streptomyces strains.
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Tang TL, Uesaka T, Kawase S, Beaumel D, Dozono M, Fujii T, Fukuda N, Fukunaga T, Galindo-Uribarri A, Hwang SH, Inabe N, Kameda D, Kawahara T, Kim W, Kisamori K, Kobayashi M, Kubo T, Kubota Y, Kusaka K, Lee CS, Maeda Y, Matsubara H, Michimasa S, Miya H, Noro T, Obertelli A, Ogata K, Ota S, Padilla-Rodal E, Sakaguchi S, Sakai H, Sasano M, Shimoura S, Stepanyan SS, Suzuki H, Takaki M, Takeda H, Tokieda H, Wakasa T, Wakui T, Yako K, Yanagisawa Y, Yasuda J, Yokoyama R, Yoshida K, Yoshida K, Zenihiro J. How Different is the Core of ^{25}F from ^{24}O_{g.s.} ? PHYSICAL REVIEW LETTERS 2020; 124:212502. [PMID: 32530645 DOI: 10.1103/physrevlett.124.212502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 12/15/2019] [Accepted: 04/13/2020] [Indexed: 06/11/2023]
Abstract
The structure of a neutron-rich ^{25}F nucleus is investigated by a quasifree (p,2p) knockout reaction at 270A MeV in inverse kinematics. The sum of spectroscopic factors of π0d_{5/2} orbital is found to be 1.0±0.3. However, the spectroscopic factor with residual ^{24}O nucleus being in the ground state is found to be only 0.36±0.13, while those in the excited state is 0.65±0.25. The result shows that the ^{24}O core of ^{25}F nucleus significantly differs from a free ^{24}O nucleus, and the core consists of ∼35% ^{24}O_{g.s.}. and ∼65% excited ^{24}O. The result may infer that the addition of the 0d_{5/2} proton considerably changes neutron structure in ^{25}F from that in ^{24}O, which could be a possible mechanism responsible for the oxygen dripline anomaly.
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Rajan S, Jang Y, Kim CH, Kim W, Toh HT, Jeon J, Song B, Serra A, Lescar J, Yoo JY, Beldar S, Ye H, Kang C, Liu XW, Feitosa M, Kim Y, Hwang D, Goh G, Lim KL, Park HM, Lee CH, Oh SF, Petsko GA, Yoon HS, Kim KS. PGE1 and PGA1 bind to Nurr1 and activate its transcriptional function. Nat Chem Biol 2020; 16:876-886. [PMID: 32451509 DOI: 10.1038/s41589-020-0553-6] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 04/22/2020] [Indexed: 12/11/2022]
Abstract
The orphan nuclear receptor Nurr1 is critical for the development, maintenance and protection of midbrain dopaminergic (mDA) neurons. Here we show that prostaglandin E1 (PGE1) and its dehydrated metabolite, PGA1, directly interact with the ligand-binding domain (LBD) of Nurr1 and stimulate its transcriptional function. We also report the crystallographic structure of Nurr1-LBD bound to PGA1 at 2.05 Å resolution. PGA1 couples covalently to Nurr1-LBD by forming a Michael adduct with Cys566, and induces notable conformational changes, including a 21° shift of the activation function-2 helix (H12) away from the protein core. Furthermore, PGE1/PGA1 exhibit neuroprotective effects in a Nurr1-dependent manner, prominently enhance expression of Nurr1 target genes in mDA neurons and improve motor deficits in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mouse models of Parkinson's disease. Based on these results, we propose that PGE1/PGA1 represent native ligands of Nurr1 and can exert neuroprotective effects on mDA neurons, via activation of Nurr1's transcriptional function.
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Kim W, Hwang S, Lee N, Lee Y, Cho S, Palsson B, Cho BK. Transcriptome and translatome profiles of Streptomyces species in different growth phases. Sci Data 2020; 7:138. [PMID: 32385251 PMCID: PMC7210306 DOI: 10.1038/s41597-020-0476-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 04/02/2020] [Indexed: 12/02/2022] Open
Abstract
Streptomyces are efficient producers of various bioactive compounds, which are mostly synthesized by their secondary metabolite biosynthetic gene clusters (smBGCs). The smBGCs are tightly controlled by complex regulatory systems at transcriptional and translational levels to effectively utilize precursors that are supplied by primary metabolism. Thus, dynamic changes in gene expression in response to cellular status at both the transcriptional and translational levels should be elucidated to directly reflect protein levels, rapid downstream responses, and cellular energy costs. In this study, RNA-Seq and ribosome profiling were performed for five industrially important Streptomyces species at different growth phases, for the deep sequencing of total mRNA, and only those mRNA fragments that are protected by translating ribosomes, respectively. Herein, 12.0 to 763.8 million raw reads were sufficiently obtained with high quality of more than 80% for the Phred score Q30 and high reproducibility. These data provide a comprehensive understanding of the transcriptional and translational landscape across the Streptomyces species and contribute to facilitating the rational engineering of secondary metabolite production.
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Boulay F, Simpson GS, Ichikawa Y, Kisyov S, Bucurescu D, Takamine A, Ahn DS, Asahi K, Baba H, Balabanski DL, Egami T, Fujita T, Fukuda N, Funayama C, Furukawa T, Georgiev G, Gladkov A, Hass M, Imamura K, Inabe N, Ishibashi Y, Kawaguchi T, Kawamura T, Kim W, Kobayashi Y, Kojima S, Kusoglu A, Lozeva R, Momiyama S, Mukul I, Niikura M, Nishibata H, Nishizaka T, Odahara A, Ohtomo Y, Ralet D, Sato T, Shimizu Y, Sumikama T, Suzuki H, Takeda H, Tao LC, Togano Y, Tominaga D, Ueno H, Yamazaki H, Yang XF, Daugas JM. g Factor of the ^{99}Zr (7/2^{+}) Isomer: Monopole Evolution in the Shape-Coexisting Region. PHYSICAL REVIEW LETTERS 2020; 124:112501. [PMID: 32242689 DOI: 10.1103/physrevlett.124.112501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 11/28/2019] [Accepted: 12/17/2019] [Indexed: 06/11/2023]
Abstract
The gyromagnetic factor of the low-lying E=251.96(9) keV isomeric state of the nucleus ^{99}Zr was measured using the time-dependent perturbed angular distribution technique. This level is assigned a spin and parity of J^{π}=7/2^{+}, with a half-life of T_{1/2}=336(5) ns. The isomer was produced and spin aligned via the abrasion-fission of a ^{238}U primary beam at RIKEN RIBF. A magnetic moment |μ|=2.31(14)μ_{N} was deduced showing that this isomer is not single particle in nature. A comparison of the experimental values with interacting boson-fermion model IBFM-1 results shows that this state is strongly mixed with a main νd_{5/2} composition. Furthermore, it was found that monopole single-particle evolution changes significantly with the appearance of collective modes, likely due to type-II shell evolution.
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Hwang S, Lee N, Jeong Y, Lee Y, Kim W, Cho S, Palsson BO, Cho BK. Primary transcriptome and translatome analysis determines transcriptional and translational regulatory elements encoded in the Streptomyces clavuligerus genome. Nucleic Acids Res 2020; 47:6114-6129. [PMID: 31131406 PMCID: PMC6614810 DOI: 10.1093/nar/gkz471] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 05/10/2019] [Accepted: 05/17/2019] [Indexed: 02/06/2023] Open
Abstract
Determining transcriptional and translational regulatory elements in GC-rich Streptomyces genomes is essential to elucidating the complex regulatory networks that govern secondary metabolite biosynthetic gene cluster (BGC) expression. However, information about such regulatory elements has been limited for Streptomyces genomes. To address this limitation, a high-quality genome sequence of β-lactam antibiotic-producing Streptomyces clavuligerus ATCC 27 064 is completed, which contains 7163 newly annotated genes. This provides a fundamental reference genome sequence to integrate multiple genome-scale data types, including dRNA-Seq, RNA-Seq and ribosome profiling. Data integration results in the precise determination of 2659 transcription start sites which reveal transcriptional and translational regulatory elements, including −10 and −35 promoter components specific to sigma (σ) factors, and 5′-untranslated region as a determinant for translation efficiency regulation. Particularly, sequence analysis of a wide diversity of the −35 components enables us to predict potential σ-factor regulons, along with various spacer lengths between the −10 and −35 elements. At last, the primary transcriptome landscape of the β-lactam biosynthetic pathway is analyzed, suggesting temporal changes in metabolism for the synthesis of secondary metabolites driven by transcriptional regulation. This comprehensive genetic information provides a versatile genetic resource for rational engineering of secondary metabolite BGCs in Streptomyces.
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Lee N, Kim W, Hwang S, Lee Y, Cho S, Palsson B, Cho BK. Thirty complete Streptomyces genome sequences for mining novel secondary metabolite biosynthetic gene clusters. Sci Data 2020; 7:55. [PMID: 32054853 PMCID: PMC7018776 DOI: 10.1038/s41597-020-0395-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/24/2020] [Indexed: 01/04/2023] Open
Abstract
Streptomyces are Gram-positive bacteria of significant industrial importance due to their ability to produce a wide range of antibiotics and bioactive secondary metabolites. Recent advances in genome mining have revealed that Streptomyces genomes possess a large number of unexplored silent secondary metabolite biosynthetic gene clusters (smBGCs). This indicates that Streptomyces genomes continue to be an invaluable source for new drug discovery. Here, we present high-quality genome sequences of 22 Streptomyces species and eight different Streptomyces venezuelae strains assembled by a hybrid strategy exploiting both long-read and short-read genome sequencing methods. The assembled genomes have more than 97.4% gene space completeness and total lengths ranging from 6.7 to 10.1 Mbp. Their annotation identified 7,000 protein coding genes, 20 rRNAs, and 68 tRNAs on average. In silico prediction of smBGCs identified a total of 922 clusters, including many clusters whose products are unknown. We anticipate that the availability of these genomes will accelerate discovery of novel secondary metabolites from Streptomyces and elucidate complex smBGC regulation.
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Lee N, Kim W, Chung J, Lee Y, Cho S, Jang KS, Kim SC, Palsson B, Cho BK. Iron competition triggers antibiotic biosynthesis in Streptomyces coelicolor during coculture with Myxococcus xanthus. ISME JOURNAL 2020; 14:1111-1124. [PMID: 31992858 PMCID: PMC7174319 DOI: 10.1038/s41396-020-0594-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/09/2020] [Accepted: 01/17/2020] [Indexed: 01/09/2023]
Abstract
Microbial coculture to mimic the ecological habitat has been suggested as an approach to elucidate the effect of microbial interaction on secondary metabolite biosynthesis of Streptomyces. However, because of chemical complexity during coculture, underlying mechanisms are largely unknown. Here, we found that iron competition triggered antibiotic biosynthesis in Streptomyces coelicolor during coculture with Myxococcus xanthus. During coculture, M. xanthus enhanced the production of a siderophore, myxochelin, leading M. xanthus to dominate iron scavenging and S. coelicolor to experience iron-restricted conditions. This chemical competition, but not physical contact, activated the actinorhodin biosynthetic gene cluster and the branched-chain amino acid degradation pathway which imply the potential to produce precursors, along with activation of a novel actinorhodin export system. Furthermore, we found that iron restriction increased the expression of 21 secondary metabolite biosynthetic gene clusters (smBGCs) in other Streptomyces species. These findings suggested that the availability for key ions stimulates specific smBGCs, which had the potential to enhance secondary metabolite biosynthesis in Streptomyces.
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Abbott BP, Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Arun KG, Ascenzi S, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae SW, Bae YB, Baiotti L, Bajpai R, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Bilenko IA, Bilgili SA, Billingsley G, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bloemen S, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DA, Brown DD, Brunett S, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister TA, Calloni E, Camp JB, Campbell WA, Canepa M, Cannon K, Cannon KC, Cao H, Cao J, Capocasa E, Carbognani F, Caride S, Carney MF, Carullo G, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chakravarti K, Chamberlin SJ, Chan M, Chan ML, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro BD, Chen CS, Chen HY, Chen KH, Chen X, Chen Y, Chen YR, Cheng HP, Cheong CK, Chia HY, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu HY, Chu Q, Chu YK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colgan R, Colleoni M, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier LEH, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Pozzo WD, DeMarchi LM, Demos N, Dent T, De Pietri R, Derby J, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Fiore LD, Giovanni MD, Girolamo TD, Lieto AD, Ding B, Pace SD, Palma ID, Renzo FD, Dmitriev A, Doctor Z, Doi K, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eguchi S, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Enomoto Y, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fujii Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Ge GG, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Castro JMG, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo Y, Gupta A, Gupta MK, Gustafson EK, Gustafson R, Haegel L, Hagiwara A, Haino S, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasegawa K, Haster CJ, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Himemoto Y, Hinderer T, Hiranuma Y, Hirata N, Hirose E, Hoak D, Hochheim S, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hong Z, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Hreibi A, Hsieh BH, Huang GZ, Huang PW, Huang YJ, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Inta R, Intini G, Ioka K, Irwin B, Isa HN, Isac JM, Isi M, Itoh Y, Iyer BR, Izumi K, Jacqmin T, Jadhav SJ, Jani K, Janthalur NN, Jaranowski P, Jenkins AC, Jiang J, Johnson DS, Jones AW, Jones DI, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kajita T, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang GW, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Keerthana NV, Kéfélian F, Keitel D, Kennedy R, Key JS, Khalili FY, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Khursheed M, Kijbunchoo N, Kim C, Kim C, Kim JC, Kim J, Kim K, Kim W, Kim WS, Kim YM, Kimball C, Kimura N, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klika JH, Klimenko S, Knowles TD, Knyazev E, Koch P, Koehlenbeck SM, Koekoek G, Kojima Y, Kokeyama K, Koley S, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Korth WZ, Kotake K, Kowalska I, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kumar S, Kume J, Kuo CM, Kuo HS, Kuo L, Kuroyanagi S, Kusayanagi K, Kutynia A, Kwak K, Kwang S, Lackey BD, Lai KH, Lam TL, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee RK, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li KJL, Li TGF, Li X, Lin CY, Lin F, Lin FL, Lin LCC, Linde F, Linker SD, Littenberg TB, Liu GC, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lower ME, Lück H, Lumaca D, Lundgren AP, Luo LW, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, Macquet A, Magaña-Sandoval F, Zertuche LM, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Meidam J, Melatos A, Mendell G, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Michimura Y, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Millhouse M, Mills JC, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moffa D, Mogushi K, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nardecchia I, Narikawa T, Naticchioni L, Nayak RK, Negishi R, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng S, Nguyen P, Ni WT, Nichols D, Nishizawa A, Nissanke S, Nocera F, North C, Nuttall LK, Obergaulinger M, Oberling J, O’Brien BD, Obuchi Y, O’Dea GD, Ogaki W, Ogin GH, Oh JJ, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutomi K, Oliver M, Oohara K, Ooi CP, Oppermann P, Oram RJ, O’Reilly B, Ormiston RG, Ortega LF, O’Shaughnessy R, Oshino S, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan HW, Pan KC, Pang B, Pang HF, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pele A, Arellano FEP, Penn S, Perez CJ, Perreca A, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pillant G, Pinard L, Pinto I, Pirello M, Pitkin M, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quintero EA, Quitzow-James R, Raab FJ, Radkins H, Radulescu N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romie JH, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakamoto H, Sakellariadou M, Sakuno Y, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Santiago KA, Sarin N, Sassolas B, Sathyaprakash BS, Sato S, Sato T, Sauter O, Savage RL, Sawada T, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Shahriar MS, Shaner MB, Shao L, Sharma P, Shawhan P, Shen H, Shibagaki S, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh N, Singhal A, Sintes AM, Sitmukhambetov S, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smith JR, Smith RJE, Somala S, Somiya K, Son EJ, Sorazu B, Sorrentino F, Sotani H, Souradeep T, Sowell E, Spencer AP, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Sudhir V, Sugimoto R, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talukder D, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanioka S, Tanner DB, Tápai M, Martin ENTS, Taracchini A, Tasson JD, Taylor R, Telada S, Thies F, Thomas M, Thomas P, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Tringali MC, Trovato A, Trozzo L, Trudeau R, Tsang KW, Tsang TTL, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsuzuki T, Tuyenbayev D, Uchikata N, Uchiyama T, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Vahlbruch H, Vajente G, Valdes G, Bakel NV, Beuzekom MV, Brand JFJVD, Broeck CVD, Vander-Hyde DC, Schaaf LVD, Heijningen JVV, Putten MHPMV, Veggel AAV, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vine DJ, Vinet JY, Vitale S, Vivanco FH, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang J, Wang JZ, Wang WH, Wang YF, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Worden J, Wright JL, Wu CM, Wu DS, Wu HC, Wu SR, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yancey CC, Yang L, Yap MJ, Yazback M, Yeeles DW, Yokogawa K, Yokoyama J, Yokozawa T, Yoshioka T, Yu H, Yu H, Yuen SHR, Yuzurihara H, Yvert M, Zadrożny AK, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao Y, Zhou M, Zhou Z, Zhu XJ, Zhu ZH, Zimmerman AB, Zucker ME, Zweizig J. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA. LIVING REVIEWS IN RELATIVITY 2020; 23:3. [PMID: 33015351 PMCID: PMC7520625 DOI: 10.1007/s41114-020-00026-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 05/27/2020] [Indexed: 05/05/2023]
Abstract
We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next several years, with the intention of providing information to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitational-wave signals from the inspiral of binary systems of compact objects, that is binary neutron star, neutron star-black hole, and binary black hole systems. The ability to localize the sources is given as a sky-area probability, luminosity distance, and comoving volume. The median sky localization area (90% credible region) is expected to be a few hundreds of square degrees for all types of binary systems during O3 with the Advanced LIGO and Virgo (HLV) network. The median sky localization area will improve to a few tens of square degrees during O4 with the Advanced LIGO, Virgo, and KAGRA (HLVK) network. During O3, the median localization volume (90% credible region) is expected to be on the order of 10 5 , 10 6 , 10 7 Mpc 3 for binary neutron star, neutron star-black hole, and binary black hole systems, respectively. The localization volume in O4 is expected to be about a factor two smaller than in O3. We predict a detection count of 1 - 1 + 12 ( 10 - 10 + 52 ) for binary neutron star mergers, of 0 - 0 + 19 ( 1 - 1 + 91 ) for neutron star-black hole mergers, and 17 - 11 + 22 ( 79 - 44 + 89 ) for binary black hole mergers in a one-calendar-year observing run of the HLV network during O3 (HLVK network during O4). We evaluate sensitivity and localization expectations for unmodeled signal searches, including the search for intermediate mass black hole binary mergers.
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Kim B, Shin H, Kim W, Kim H, Cho Y, Yoon H, Baek J, Woo K, Lee Y, Ryoo H. PIN1 Attenuation Improves Midface Hypoplasia in a Mouse Model of Apert Syndrome. J Dent Res 2019; 99:223-232. [PMID: 31869252 DOI: 10.1177/0022034519893656] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Premature fusion of the cranial suture and midface hypoplasia are common features of syndromic craniosynostosis caused by mutations in the FGFR2 gene. The only treatment for this condition involves a series of risky surgical procedures designed to correct defects in the craniofacial bones, which must be performed until brain growth has been completed. Several pharmacologic interventions directed at FGFR2 downstream signaling have been tested as potential treatments for premature coronal suture fusion in a mouse model of Apert syndrome. However, there are no published studies that have targeted for the pharmacologic treatment of midface hypoplasia. We used Fgfr2S252W/+ knock-in mice as a model of Apert syndrome and morphometric analyses to identify causal hypoplastic sites in the midface region. Three-dimensional geometric and linear analyses of Fgfr2S252W/+ mice at postnatal day 0 demonstrated distinct morphologic variance. The premature fusion of anterior facial bones, such as the maxilla, nasal, and frontal bones, rather than the cranium or cranial base, is the main contributing factor toward the anterior-posterior skull length shortening. The cranial base of the mouse model had a noticeable downward slant around the intersphenoid synchondrosis, which is related to distortion of the airway. Within a skull, the facial shape variance was highly correlated with the cranial base angle change along Fgfr2 S252W mutation-induced craniofacial anomalies. The inhibition of an FGFR2 downstream signaling enzyme, PIN1, via genetic knockdown or use of a PIN1 inhibitor, juglone, attenuated the aforementioned deformities in a mouse model of Apert syndrome. Overall, these results indicate that FGFR2 signaling is a key contributor toward abnormal anterior-posterior dimensional growth in the midface region. Our study suggests a novel therapeutic option for the prevention of craniofacial malformations induced by mutations in the FGFR2 gene.
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Na J, Kang D, Kim C, Park Y, Jang W, Kim W, Choi C. The association between sleep-disordered breathing and short-term functional outcomes in ischemic stroke patients: assessed by cardiopulmonary coupling analysis using holter-monitoring. Sleep Med 2019. [DOI: 10.1016/j.sleep.2019.11.757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Na J, Kang D, Kim C, Park Y, Jang W, Kim W, Choi C. Sleep-disordered breathing assessed by Holter-monitoring is associated to worsened one-year clinical outcomes in ischemic stroke patients: a cardiopulmonary coupling analysis. Sleep Med 2019. [DOI: 10.1016/j.sleep.2019.11.756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Dubrovskii VG, Barcus J, Kim W, Vukajlovic-Plestina J, I Morral AF. Does desorption affect the length distributions of nanowires? NANOTECHNOLOGY 2019; 30:475604. [PMID: 31416057 DOI: 10.1088/1361-6528/ab3bb6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
State-of-the art models for statistical properties within the nanowire ensembles consider influx of precursors, reflection and surface diffusion of adatoms. These models predict a delay in the nanowire growth start and the evolution toward an asymmetric length distribution. We demonstrate here the effect of desorption of the nanowire material, which has not been considered so far in studies of the nanowire length distributions. We show that at the very beginning of growth the length distribution should be asymmetric due to the slow nucleation of nanowires. At longer times, the length distribution acquires a symmetric Gaussian shape due to the increased weight of desorption. The width of this distribution is larger than Poissonian and increases for higher ratio of desorption over deposition rate. Our model is consistent with the length evolution of organized self-catalyzed GaAs nanowires. We outline that desorption of the nanowire material should be minimized to achieve arrays of highly identical nanowires. These results are relevant for a wide variety of material systems.
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Li WB, Huber GM, Blok HP, Gaskell D, Horn T, Semenov-Tian-Shansky K, Pire B, Szymanowski L, Laget JM, Aniol K, Arrington J, Beise EJ, Boeglin W, Brash EJ, Breuer H, Chang CC, Christy ME, Ent R, Gibson EF, Holt RJ, Jin S, Jones MK, Keppel CE, Kim W, King PM, Kovaltchouk V, Liu J, Lolos GJ, Mack DJ, Margaziotis DJ, Markowitz P, Matsumura A, Meekins D, Miyoshi T, Mkrtchyan H, Niculescu I, Okayasu Y, Pentchev L, Perdrisat C, Potterveld D, Punjabi V, Reimer PE, Reinhold J, Roche J, Roos PG, Sarty A, Smith GR, Tadevosyan V, Tang LG, Tvaskis V, Volmer J, Vulcan W, Warren G, Wood SA, Xu C, Zheng X. Unique Access to u-Channel Physics: Exclusive Backward-Angle Omega Meson Electroproduction. PHYSICAL REVIEW LETTERS 2019; 123:182501. [PMID: 31763910 DOI: 10.1103/physrevlett.123.182501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 10/01/2019] [Indexed: 06/10/2023]
Abstract
Backward-angle meson electroproduction above the resonance region, which was previously ignored, is anticipated to offer unique access to the three quark plus sea component of the nucleon wave function. In this Letter, we present the first complete separation of the four electromagnetic structure functions above the resonance region in exclusive ω electroproduction off the proton, ep→e^{'}pω, at central Q^{2} values of 1.60, 2.45 GeV^{2}, at W=2.21 GeV. The results of our pioneering -u≈-u_{min} study demonstrate the existence of a unanticipated backward-angle cross section peak and the feasibility of full L/T/LT/TT separations in this never explored kinematic territory. At Q^{2}=2.45 GeV^{2}, the observed dominance of σ_{T} over σ_{L}, is qualitatively consistent with the collinear QCD description in the near-backward regime, in which the scattering amplitude factorizes into a hard subprocess amplitude and baryon to meson transition distribution amplitudes: universal nonperturbative objects only accessible through backward-angle kinematics.
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Park TY, Jang Y, Kim W, Shin J, Toh HT, Kim CH, Yoon HS, Leblanc P, Kim KS. Chloroquine modulates inflammatory autoimmune responses through Nurr1 in autoimmune diseases. Sci Rep 2019; 9:15559. [PMID: 31664129 PMCID: PMC6820774 DOI: 10.1038/s41598-019-52085-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 10/12/2019] [Indexed: 12/19/2022] Open
Abstract
For over a half-century the anti-malarial drug chloroquine (CQ) has been used as a therapeutic agent, alone or in combination, to treat autoimmune diseases. However, neither the underlying mechanism(s) of action nor their molecular target(s) are well defined. The orphan nuclear receptor Nurr1 (also known as NR4A2) is an essential transcription factor affecting the development and maintenance of midbrain dopaminergic neurons. In this study, using in vitro T cell differentiation models, we demonstrate that CQ activates TREG cell differentiation and induces Foxp3 gene expression in a Nurr1-dependent manner. Remarkably, CQ appears to induce Nurr1 function by two distinct mechanisms: firstly, by direct binding to Nurr1’s ligand-binding domain and promoting its transcriptional activity and secondly by upregulation of Nurr1 expression through the CREB signaling pathway. In contrast, CQ suppressed gene expression and differentiation of pathogenic TH17 cells. Importantly, using a valid animal model of inflammatory bowel disease (IBD), we demonstrated that CQ promotes Foxp3 expression and differentiation of TREG cells in a Nurr1-dependent manner, leading to significant improvement of IBD-related symptoms. Taken together, these data suggest that CQ ameliorates autoimmune diseases via regulating Nurr1 function/expression and that Nurr1 is a promising target for developing effective therapeutics of human inflammatory autoimmune diseases.
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Abbott BP, Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adhikari RX, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Ascenzi S, Ashton G, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baird J, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Bals A, Banagiri S, Barayoga JC, Barbieri C, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Benjamin MG, Berger BK, Bergmann G, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Biggs E, Bilenko IA, Bilgili SA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bobba F, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose S, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Campbell WA, Cannon KC, Cao H, Cao J, Carapella G, Carbognani F, Caride S, Carney MF, Carullo G, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi O, Chakravarti K, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Cheong CK, Chia HY, Chiadini F, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu Q, Chua S, Chung KW, Chung S, Ciani G, Cieślar M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Coccia E, Cohadon PF, Cohen D, Colleoni M, Collette CG, Collins C, Colpi M, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier LEH, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, DeMarchi LM, Demos N, Dent T, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Di Fiore L, DiFronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Durante O, Dwyer SE, Easter PJ, Eddolls G, Edo TB, Effler A, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Errico L, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fitz-Axen M, Fiumara V, Flaminio R, Fletcher M, Floden E, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Vivanco FH, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fronzè G, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Gaonkar SG, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Gibson DR, Gill K, Glover L, Gniesmer J, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gossan SE, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Grimaldi A, Grimm SJ, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Haegel L, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasskew RK, Haster CJ, Haughian K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heitmann H, Hellman F, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heurs M, Hild S, Hinderer T, Hochheim S, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Huang Y, Hübner MT, Huerta EA, Huet D, Hughey B, Hui V, Husa S, Huttner SH, Huynh-Dinh T, Idzkowski B, Iess A, Inchauspe H, Ingram C, Inta R, Intini G, Irwin B, Isa HN, Isac JM, Isi M, Iyer BR, Jacqmin T, Jadhav SJ, Jani K, Janthalur NN, Jaranowski P, Jariwala D, Jenkins AC, Jiang J, Johnson DS, Jones AW, Jones DI, Jones JD, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kennedy R, Key JS, Khalili FY, Khan I, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, Kimball C, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klika JH, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koekoek G, Koley S, Kondrashov V, Kontos A, Koper N, Korobko M, Korth WZ, Kovalam M, Kozak DB, Krämer C, Kringel V, Krishnendu N, Królak A, Krupinski N, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kuo L, Kutynia A, Kwang S, Lackey BD, Laghi D, Lai KH, Lam TL, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lehmann J, Lenon AK, Leroy N, Letendre N, Levin Y, Li A, Li J, Li KJL, Li TGF, Li X, Lin F, Linde F, Linker SD, Littenberg TB, Liu J, Liu X, Llorens-Monteagudo M, Lo RKL, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lower ME, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez V, Martynov DV, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Meidam J, Mejuto Villa E, Melatos A, Mendell G, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Messina F, Metzdorff R, Meyers PM, Meylahn F, Miani A, Miao H, Michel C, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moffa D, Mogushi K, Mohapatra SRP, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nardecchia I, Naticchioni L, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Ng KY, Ng S, Nguyen C, Nguyen P, Nichols D, Nichols SA, Nissanke S, Nocera F, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, Oganesyan G, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston RG, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Payne E, Pearlstone BL, Pechsiri TC, Pedersen AJ, Pedraza M, Pedurand R, Pele A, Penn S, Perego A, Perez CJ, Périgois C, Perreca A, Petermann J, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Plastino W, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romie JH, Rose CA, Rose D, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sanders JR, Santiago KA, Santos E, Sarin N, Sassolas B, Sathyaprakash BS, Sauter O, Savage RL, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Shahriar MS, Shaner MB, Sharma A, Sharma P, Shawhan P, Shen H, Shink R, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singhal A, Sintes AM, Sitmukhambetov S, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smith JR, Smith RJE, Somala S, Son EJ, Soni S, Sorazu B, Sorrentino F, Souradeep T, Sowell E, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Sudhir V, Summerscales TZ, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Tanner DB, Tao D, Tápai M, Tapia A, Tasson JD, Taylor R, Tenorio R, Terkowski L, Thomas M, Thomas P, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Tringali MC, Tripathee A, Trovato A, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Tuyenbayev D, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, Valentini M, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, VanHeijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang H, Wang JZ, Wang S, Wang WH, Wang YF, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Williamson AR, Willis JL, Willke B, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wright JL, Wu DS, Wysocki DM, Xiao S, Xu R, Yamamoto H, Yancey CC, Yang L, Yang Y, Yang Z, Yap MJ, Yazback M, Yeeles DW, Yu H, Yu H, Yuen SHR, Zadrożny AK, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao G, Zhou M, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Shandera S. Search for Subsolar Mass Ultracompact Binaries in Advanced LIGO's Second Observing Run. PHYSICAL REVIEW LETTERS 2019; 123:161102. [PMID: 31702344 DOI: 10.1103/physrevlett.123.161102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Indexed: 06/10/2023]
Abstract
We present a search for subsolar mass ultracompact objects in data obtained during Advanced LIGO's second observing run. In contrast to a previous search of Advanced LIGO data from the first observing run, this search includes the effects of component spin on the gravitational waveform. We identify no viable gravitational-wave candidates consistent with subsolar mass ultracompact binaries with at least one component between 0.2 M_{⊙}-1.0 M_{⊙}. We use the null result to constrain the binary merger rate of (0.2 M_{⊙}, 0.2 M_{⊙}) binaries to be less than 3.7×10^{5} Gpc^{-3} yr^{-1} and the binary merger rate of (1.0 M_{⊙}, 1.0 M_{⊙}) binaries to be less than 5.2×10^{3} Gpc^{-3} yr^{-1}. Subsolar mass ultracompact objects are not expected to form via known stellar evolution channels, though it has been suggested that primordial density fluctuations or particle dark matter with cooling mechanisms and/or nuclear interactions could form black holes with subsolar masses. Assuming a particular primordial black hole (PBH) formation model, we constrain a population of merging 0.2 M_{⊙} black holes to account for less than 16% of the dark matter density and a population of merging 1.0 M_{⊙} black holes to account for less than 2% of the dark matter density. We discuss how constraints on the merger rate and dark matter fraction may be extended to arbitrary black hole population models that predict subsolar mass binaries.
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Pahk K, Kwon HW, Eo JS, Seo HS, Kim W, Kim S. P2497Exercise training could reduce inflammatory activity of visceral adipose tissue in overweight women. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
Visceral adipose tissue (VAT) plays pivotal roles for an increased risk of cardiometabolic disease through triggering inflammatory process. This prospective study aimed to evaluate whether the exercise training could reduce inflammatory activity of VAT assessed by 18F-fluorodeoxyglucoase (FDG) positron emission tomography-computerized tomography (PET/CT).
Methods
Twenty-three overweight women who participated in exercise training program were included. Exercise training program was composed of aerobic exercise (45 min/session, 300 Kcal/day) and muscle strength training (20 min/session, 100 Kcal/day) 5 times per week for 3 months. They underwent F-18 FDG PET/CT before starting exercise program (baseline) and after completion of 3 months exercise program. Anthropometric data, clinical laboratory data, VAT area, and maximum standardized uptake value (SUVmax) of VAT were compared between baseline and after completion of the total exercise program.
Results
Baseline VAT SUVmax showed significant correlation with body weight, body mass index (BMI), waist circumference, and hip circumference. VAT SUVmax was significantly reduced by exercise training program. Exercise training program also reduced body weight, BMI, waist circumference, hip circumference, VAT area, subcutaneous adipose tissue area and blood pressure. The change of VAT SUVmax was significantly higher than the change of VAT area.
Conclusions
Exercise training could reduce the inflammatory activity of VAT assessed by F-18 FDG PET/CT. Thus, exercise would be a promising non-pharmacological strategy to reduce inflammatory activity of VAT. Furthermore, F-18 FDG PET/CT could be useful to evaluate the effect of therapeutic intervention targeted to inflammatory VAT activity.
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Kang DO, Kim CK, Park Y, Jang WY, Kim W, Choi JY, Choi CU, Na JO. P3715Impact of sleep-disordered breathing on short-term functional outcomes in ischemic stroke patients: a cardiopulmonary coupling analysis using holter-monitoring. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Sleep-disordered breathing (SDB) assessed by conventional polysomnography is reported to have close association with worsened clinical outcomes in patients with ischemic stroke. The cardiopulmonary coupling (CPC) analysis using Holter-monitoring is an easily assessable method to evaluate SDB. However, its prognostic impact needs to be investigated.
Purpose
The present study investigated the prognostic impact of SDB defined by CPC analysis using Holter-monitoring at early stage of ischemic stroke on the functional disability at 3-month follow-up.
Methods
Total 692 patients with acute ischemic stroke who underwent Holter-monitoring were enrolled. The CPC analysis was conducted and SDB was defined as the presence of narrow-band (NB) coupling during sleep time. We investigated the association between SDB and functional disability at 3-month measured by modified Rankin scale (mRS).
Result
The NB coupling was present in 216 (31.2%) of 692 patients with mean age of 64.2±12.8 years. The NB group showed significantly higher proportion of severe functional disability (mRS ≥3; 45.3% vs. 12.3%, p<0.001) and persistent disability (ΔmRS≤0; 42.6% vs. 56.4%, p<0.001) after 3-month. In multivariate analysis, the presence of NB coupling was an independent predictor of higher risk of both severe and persistent functional disability (HR: 3.97; 95% CI: 2.37–6.64; p<0.001; and HR 1.92; 95% CI: 1.34–2.77; p<0.001, respectively). The results were consistent after propensity-score matched analysis with 175 patient pairs (C-statistics=0.759).
Parameters of functional disability Overall population (n=692) PSM population (n=350) no NB (n=476) NB (n=216) OR (95% CI) p-value no NB (n=175) NB (n=175) OR (95% CI) p-value Initial NIHSS ≥5 89 (18.6) 81 (37.5) <0.001 52 (29.7) 52 (29.7) >0.999 Discharge mRS ≥3 146 (30.6) 126 (58.3) <0.001 90 (51.4) 89 (50.8) 0.915 3-month mRS ≥3 59 (12.3) 98 (45.3) 5.86 (4.00–8.60) <0.001 38 (21.7) 72 (41.1) 2.52 (1.57–4.02) <0.001 3-month ΔmRS ≤0 (persisent disability) 203 (42.6) 122 (56.4) 1.74 (1.26–2.41) 0.001 77 (44.0) 100 (57.1) 1.69 (1.11–2.58) 0.014 Data are expressed as n (%). mRS = modified Rankin's scale; NB = narrow-band; NIHSS = National Institutes of Health Stroke Scale; OR = odds ratio; PSM = propensity-score matched.
Functional disabilities after 3-month
Conclusion
SDB assessed by CPC analysis at early phase of ischemic stroke was able to predict both greater and persistent functional disability at 3-month. The CPC analysis using Holter-monitoring is a useful modality for predicting functional disabilities in acute ischemic stroke.
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Kang DO, Park SY, Park Y, Jang WY, Kim W, Choi BG, Na JO, Choi CU, Kim EJ, Rha SW, Park CG, Hong SJ, Seo HS. P1249Prognostic impact of sarcopenia on major adverse cardiovascular outcomes in coronary artery disease patients undergoing successful percutaneous coronary intervention. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Sarcopenia is an emerging marker of frailty. Its prognostic impact on atherosclerotic cardiovascular disease (ASCVD) requires further investigation.
Purpose
We investigated the long-term prognostic impact of computed tomography (CT)-determined sarcopenia in patients with coronary artery disease (CAD).
Methods
Total 475 CAD patients those who underwent successful percutaneous coronary intervention (PCI) and performed CT scan within 30 days of PCI were enrolled. The cross-sectional area of skeletal muscle at the first lumbar vertebra (L1) level was measured. Sarcopenia was defined as L1 skeletal muscle index of less than 34.60 cm2/m2 for men and of less than 25.90 cm2/m2 for women. Primary outcome was 3-year all-cause mortality and secondary outcome was 3-year major adverse cardiovascular event (MACE), a composite of all-cause mortality, any myocardial infarction, and repeat revascularization.
Results
Sarcopenia was present in 214 (45.1%) of 475 patients. The incidence of 3-year all-cause mortality and MACE was significantly higher in patients with sarcopenia than in those without sarcopenia (17.7% vs. 5.7%, p<0.001; and 35.0% vs. 11.2%, p<0.001, respectively). In the fully adjusted multivariable analysis, sarcopenia was an independent predictor of higher risk of 3-year all-cause mortality (odds ratio [OR]: 2.98; 95% confidence interval [CI]: 1.35 to 6.58, p=0.007) and MACE (OR: 4.39; 95% CI: 2.49 to 7.73, p<0.001). The results were consistent after propensity-score matched analysis with 100 pairs of study population (C-statistics = 0.868).
Kaplan–Meier analysis of 3-year outcomes Overall population PSM population Sarcopenia (n=214) No sarcopenia (n=261) Log-rank p-value Sarcopenia (n=100) No sarcopenia (n=100) Log-rank p-value All-cause mortality 36 (17.7) 14 (5.7) <0.001 19 (20.0) 7 (7.7) 0.013 Non-fatal MI 12 (6.6) 5 (2.0) 0.021 6 (7.0) 2 (2.3) 0.134 Repeat revascularization 32 (20.3) 14 (6.2) <0.001 17 (23.3) 8 (8.0) 0.027 Total MACEs 68 (35.0) 27 (11.2) <0.001 36 (39.3) 14 (15.4) 0.001 Data are expressed as n (%). MACE = major adverse cardiovascular event; MI = myocardial infarction; PSM = propensity-score matched.
Clinical impact of sarcopenia on CAD
Conclusion
Sarcopenia is a useful predictor of adverse clinical outcomes in patients with CAD undergoing PCI. CT-determined sarcopenia may further aid in risk stratification and decision-making for patients with established ASCVD.
Acknowledgement/Funding
National Research Foundation of Korea (NRF-2016R1A2B3013825), Ministry of Future Creation and Science of Korea (2018K000255)
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Lee K, Kim J, Kim W, Lee JS, Song S, Lee M, Chung H, Song J, Cho KJ, Ahn JH. PD-L1 expression in resected undifferentiated pleomorphic sarcoma and its clinical implications. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz283.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Jang WY, Kim W, Kang DO, Park Y, Park EJ, Na JO, Choi CU, Rha SW, Park CG, Seo HS, Park S, Kim EJ. P4339Reference values for cardiorespiratory fitness in healthy Koreans: compared to western nations and nomogram. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Cardiorespiratory Fitness (CRF), defined as the integrated ability to properly oxygenate skeletal muscles during physical activity, is associated with a high risk of cardiovascular disease and all-cause mortality. The reference range for CRF may differ among nations, with Asians under-represented in previous data.
Purpose
In this study, we sought to establish reference values of CRF for Asians using a recent Korean cohort.
Methods
We analyzed 2646 healthy Korean adults recently enrolled in the Korea Institute of Sports Science Fitness Standards (KISS FitS) project with estimated maximal oxygen uptake (VO2max) values during treadmill test. Patients with cardiovascular or renal disease, systemic infection, pregnant women and those with orthopedic injuries unable to measure physical fitness were excluded. Age-specific mean VO2max values were compared with those from recent American, Norwegian, Danish cohorts and old Korean data.
Results
Age-specific reference values for healthy Korean adults in this cohort were as shown (Table). We were able to draw a nomogram to predict exercise capacity for a given age and MET value (Figure). When compared to other countries, less CRF reduction by aging was seen in Asians than in other Westerners. When compared to old Korean data from the 1980s, values were similar after adjustment for difference in methods, except for those under 30 years old which were decreased.
Exercise capacity of healthy Korean Men Women Age VO2max (ml/kg/min) N P-value for trend Age VO2max (ml/kg/min) N P-value for trend 19–29 42.3±6.3± 209 <0.01 19–29 34.3±4.3± 110 <0.01 30–39 42.0±5.0± 170 39–39 32.2±4.5± 211 40–49 41.4±5.6± 238 40–49 30.8±4.6± 284 50–59 38.0±5.7± 274 50–59 28.3±4.6± 367 60–69 32.4±6.2± 134 60–69 26.0±5.7± 336 70–79 27.2±5.6± 83 70–79 23.9±4.4± 195 >80 24.1±4.0± 11 >80 21.0±3.7± 24 Total 38.6±7.4± 1119 Total 28.5±5.8 1527 Data are presented as mean ± standard deviation. VO2max, maximal oxygen uptake; N, number.
Nomogram of exercise capacity in Koreans
Conclusions
While there was no significant change in CRF over time in the same ethnic group, there was a clear inter-ethnic difference. CRF should be assessed according to ethnic or national standards, and it is necessary to establish a reference for each nation or ethnicity with periodic updates.
Acknowledgement/Funding
National Sports Promotion Fund of the Korea Sports Promotion Foundation in 2015
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Kang DO, Kim CK, Park Y, Jang WY, Kim W, Choi JY, Choi CU, Na JO. P5744Sleep-disordered breathing assessed by holter-monitoring is associated to worsened one-year clinical outcomes in ischemic stroke patients: a cardiopulmonary coupling analysis. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Sleep-disorder breathing (SDB) using polysomnography is closely associated to poor functional and clinical outcomes in ischemic stroke patients. The cardiopulmonary coupling analysis using Holter-monitoring (CPC-Holter analysis) is an emerging feasible modality to investigate SDB.
Purpose
We investigated the association between SDB defined by CPC-Holter analysis and one-year clinical outcome in patients with acute ischemic stroke.
Methods
Total 666 patients with acute ischemic stroke who underwent Holter-monitoring were enrolled. The CPC-Holter analysis was conducted and SDB was defined as the presence of narrow-band (NB) coupling during sleep time. Primary outcome was recurrent ischemic stroke, and secondary outcome was major adverse cerebrovascular event (MACE), a composite of recurrent ischemic stroke, transient ischemic attack, and all-cause mortality within one year since discharge.
Result
The NB coupling was present in 205 (30.8%) of 666 patients with mean age of 64.1±12.8 years. The NB group showed significantly higher incidence of both recurrent ischemic stroke (8.3% vs. 1.4%, p<0.001) and MACE (14.9% vs. 3.0%, p<0.001) within one-year. In multivariate analysis, presence of NB coupling remained as an independent predictor of both recurrent ischemic stroke and MACE (HR: 4.81; 95% CI: 1.73–13.4; p=0.003; and HR 4.17; 95% CI: 1.74–10.0; p<0.001, respectively). The results were consistent after propensity-score matched analysis with 164 patient pairs (C-statistics=0.757).
One-year clinical outcomes Overall population (n=666) PSM population (n=328) no NB (=461) NB (n=205) Log-rank p-value OR (95% CI) no NB (n=164) NB (n=164) Log-rank p-value OR (95% CI) Recurrent ischemic stroke 6 (1.4) 14 (8.3) <0.001 5.73 (2.20–14.9) 3 (2.0) 11 (8.1) 0.026 3.85 (1.07–13.8) Transient ischemic attack 3 (0.7) 3 (1.7) 0.275 2 (1.3) 3 (2.1) 0.633 Hemorrhagic stroke 0 (0.0) 2 (1.2) 0.027 0 (0.0) 2 (1.5) 0.148 Total death 3 (0.7) 9 (4.8) 0.001 2 (1.3) 3 (1.9) 0.641 MACEs 12 (3.0) 25 (14.9) <0.001 4.63 (2.06–10.4) 7 (5.2) 17 (13.1) 0.030 2.95 (1.06–8.21) Data are expressed as n (%). CI = confidence interval; MACE = major adverse cardiovascular event; NB = narrow-band; OR = odds ratio.
One-year clinical outcomes
Conclusion
SDB assessed by CPC-Holter analysis at early phase of ischemic stroke is a powerful prognostic marker for predicting one-year adverse clinical outcomes. The CPC analysis using Holter-monitoring is a useful modality and could be easily applied to predict clinical outcomes in acute ischemic stroke patients.
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Chae H, Kim J, Kim W, Lee JS, Song S, Lee M, Chung H, Song J, Ahn JH. PD-L1 expression as a potential therapeutic target and prognostic biomarker in well-differentiated and dedifferentiated liposarcoma. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz283.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Kim W, La Y, Choi Y. EP.107Transthyretin amyloidosis with variant Ile93Val mutation. Neuromuscul Disord 2019. [DOI: 10.1016/j.nmd.2019.06.565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Pahk K, Joung C, Song HY, Kim S, Kim W. P723A novel CD147 inhibitor SP-8356 attenuates plaque progression and stabilizes vulnerable plaque in ApoE-deficient mice. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz747.0328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Aim
Plaque vulnerability is the crucial pathophysiological feature in atherosclerosis-related cardiovascular event such as myocardial infarction and stroke. CD147 has been suggested to play key roles in plaque vulnerability through interacting with cyclophilin A (CypA) and resultant activation of matrix metalloproteinase-9 (MMP-9). Here we report that the novel synthetic CD147 inhibitor SP-8356 ((1S,5R)-4-(3,4-dihydroxy-5-methoxystyryl)-6,6-dimethylbicyclo[3.1.1]hept-3-en-2-one) inhibits CD147/MMP-9 pathways and reduces plaque progression and stabilizes plaque vulnerability.
Methods
Advanced atherosclerotic plaque was induced in apolipoprotein E-deficient (ApoE KO) mice by partial ligation of the right carotid artery coupled with an atherogenic diet. SP-8356 (50 mg/kg) was orally given daily for 3 weeks. Histomolecular analysis was carried out on harvested carotid arteries.
Results
Surface plasmon resonance assay showed the specific binding of SP-8356 with CD147. SP-8356 inhibited CypA-CD147 interaction and MMP-9 activation. In ApoE KO mice model, SP-8356 inhibited plaque formation, reduced the number of macrophages, increased the number of vascular smooth muscle cells, increased the fibrous cap thickness, and increased the collagen type I contents in fibrous cap. SP-8356 also reduced the apoptotic cells in the plaque lesion.
Conclusions
Owing to its improvement of plaque stability and inhibitory effect on plaque development, SP-8356 could be a potential therapeutic drug candidate for atherosclerosis and related clinical manifestations.
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Jang WY, Kang DO, Park Y, Kim W, Park EJ, Na JO, Choi CU, Rha SW, Park CG, Seo HS, Kim EJ. P2501Validation of FRIEND and ACSM equations for cardiorespiratory fitness: comparison to direct measurement in male CAD patients. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Cardiorespiratory fitness (CRF) is associated with a high risk of cardiovascular disease and all-cause mortality. The regression equation of American College of Sports Medicine (ACSM) was a preferred method for estimating maximal oxygen consumption (VO2max). It is well-known that CRF is overestimated in ACSM equation. Recently, Kokkinos reported more precise equation from the Fitness Registry and the Importance of Exercise National Database (FRIEND). Both equations were made from western healthy people.
Purpose
In this study, we compared VO2max estimated by ACSM and FRIEND equations to VO2max directly measured in male coronary artery disease (CAD) patients.
Methods
We analyzed 103 male CAD patients who underwent percutaneous coronary intervention and who participated in cardiac rehabilitation between June 2015 and December 2018. VO2max was directly measured by the gas exchange analysis during treadmill test with modified Bruce protocol. Exclusive criteria were pulmonary disease, chronic kidney disease on hemodialysis, malignancy, peripheral artery disease, insufficient cardiopulmonary exercise test and orthopedic injuries. Directly measured VO2max were compared to ACSM and FRIEND equations.
Results
Age-specific VO2max values, which were directly measured from male CAD patients, were shown in Table. Smaller CRF difference was shown in FRIEND equation than ACSM equation. Compared to the measured value, CRF estimated by ACSM equation was overestimated by 22%, but the one estimated by FRIEND equation had only 2% gap. Figure presents Bland-Altman plots. ACSM equation had the higher bias (5.52ml/kg/min) compared with FRIEND equation (0.200ml/kg/min).
Comparison table of VO2max estimated by ACSM and FRIEND equations with directly measured VO2max in male CAD patients Age Number VO2max (ml/kg/min) Measured ACSM % predicted FRIEND % predicted 30–39 4 29.5 ± (6.6) 35.7 ± (6.1) 122.3 ± (8.5) 29.1 ± (4.3) 100.1 ± (8.7) 40–49 20 29.1 ± (5.1) 35.7 ± (5.4) 123.6 ± (11.1) 29.1 ± (3.8) 101.2 ± (9.5) 50–59 32 25.6 ± (4.3) 31.5 ± (5.1) 123.8 ± (10.1) 26.2 ± (3.6) 103.2 ± (8.5) 60–69 27 26.0 ± (5.1) 31.1 ± (2.6) 120.5 ± (12.6) 25.9 ± (4.0) 100.8 ± (10.5) 70–79 18 21.2 ± (6.0) 26.8 ± (5.4) 123.2 ± (14.8) 22.8 ± (3.9) 105.2 ± (12.0) >80 2 25.0 ± (10.1) 22.8 ± (2.6) 97 ± (28.9) 19.9 ± (1.9) 85.1 ± (27.0) Total 103 25.7 ± (5.6) 31.4 ± (6.0) 122.2 ± (12.4) 26.1 ± (4.3) 102.1 ± (10.4) Data are presented as mean ± (standard deviation).
Bland-Altman plots
Conclusions
FRIEND equation can estimate CRF more accurately than ACSM equation, even in Asian patients with CAD.
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Kang DO, Park SY, Park Y, Jang WY, Kim W, Choi BG, Na JO, Choi CU, Kim EJ, Rha SW, Park CG, Hong SJ, Seo HS. 4098Reduced skeletal muscle mass is associated to worsened long-term clinical outcomes in patients with coronary artery disease: a quantitative analysis by computed tomography. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Sarcopenia is closely associated to poor clinical outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, it is unclear whether the skeletal muscle mass at baseline has quantitative effect on future cardiovascular outcomes.
Purpose
We investigated the quantitative effect of skeletal muscle mass on future cardiovascular outcomes in patients with coronary artery disease (CAD).
Methods
Total 475 patients those who underwent successful percutaneous coronary intervention (PCI) for CAD and performed computed tomography (CT) scan within 30 days of PCI were enrolled. The cross-sectional area of skeletal muscle at the first lumbar vertebra (L1) level was measured. Whole study population was divided into 4 groups according to the sex-specific quartiles of skeletal muscle index (SMI). Primary outcome was all-cause mortality and secondary outcome was major adverse cardiovascular event (MACE) within 3 years of follow-up.
Results
Mean follow-up duration was 4.11±3.02 years and average time period from the date of PCI to CT scan was −3.33±11.72 days. The incidence of 3-year all-cause mortality (23.2% vs. 9.9% vs. 6.6% vs. 4.4%, p<0.001) and MACE (42.9% vs. 24.0% vs. 14.3% vs. 6.2%, p<0.001) was significantly higher in the group of lower quartiles of L1-SMI. In the fully adjusted multivariable analysis, lower quartiles of L1-SMI was an independent predictor of higher risk of all-cause mortality and MACE (lowest vs. highest quartile; OR: 4.90, 95% CI: 1.54 to 15.5, p=0.007; and OR: 12.3, 95% CI: 4.99 to 30.4, p<0.001, respectively).
Results of 3-year clinical outcomes SMI Q1 (n=124) SMI Q2 (n=116) SMI Q3 (n=112) SMI Q4 (n=123) Log-rank p-value All-cause mortality 27 (23.2) 11 (9.9) 7 (6.6) 5 (4.4) <0.001 Non-fatal MI 9 (8.7) 3 (3.0) 2 (2.0) 3 (2.6) 0.038 Repeat revascularization 20 (24.9) 15 (15.2) 7 (7.1) 4 (3.8) <0.001 Total MACEs 47 (42.9) 26 (24.0) 15 (14.3) 7 (6.2) <0.001 Data are expressed as n (%). MACE = major adverse cardiovascular event; MI = myocardial infarction; SMI = skeletal muscle index; Q = quartile.
Impact of reduced skeletal muscle on CAD
Conclusion
Skeletal muscle mass at baseline is a powerful predictor of future adverse clinical outcomes in patients with CAD undergoing successful PCI. Quantitative assessment of skeletal muscle mass at L1 level by CT scan provides prognostic implication for future cardiovascular risk stratification.
Acknowledgement/Funding
National Research Foundation of Korea (NRF-2016R1A2B3013825), Ministry of Future Creation and Science of Korea (2018K000255)
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Choi CU, Choi JI, Kim W, Jang WY, Kang DO, Park Y, Na JO, Kim EJ, Rha SW, Park CG, Seo HS, Kim JW. P2523Hand grip strength as a predictor of exercise capacity in coronary heart disease. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
A recent study has shown that quadriceps strength can be used to predict the level of exercise capacity in patients with coronary heart disease (CHD). We investigated whether the relationship between muscular strength and exercise capacity is also observed with hand grip strength (HGS). We studied 443 participants (age, 61.8±11.2 y; 77.7% male) who underwent coronary intervention and participated in cardiac rehabilitation between 2015 and 2018. Participants were assessed for grip strength, measured using a Jamar dynamometer. Logistic regression was used to assess the relationship between various clinical measures (HGS, age, sex, etc) with the distance walked on a 6-minute walk test (6MWT) and maximal oxygen uptake (VO2max). HGS was significantly related to distance walked on the 6MWT (r=0.435, p<0.001). It was the only predictor of all exercise capacity categories, and one of the strongest predictors of each exercise capacity category. A HGS of 25.5% of body weight predicted an achievement of a 200 m walk on the 6MWT (positive predictive value = 0.95). However, HGS less than 35.5% of body weight predicted that 500m could not be done in 6 minutes (negative predictive value = 0.97). This trend was also observed in the subgroups in which VO2max was measured. This study demonstrates that HGS is associated with exercise capacity in CHD and can be used to predict the level of exercise capacity. These findings may contribute to setting the recommended level of daily activity as well as the level of cardiac rehabilitation in CHD.
Logistic regression models for different levels of exercise capacity Level of exercise capacity B±S.E p-value Odd ratio 95% CI Distance of 6MWT 200 m Grip strength 0.054±0.014 <0.001 1.056 1.027–1.086 300 m Grip strength 0.042±0.009 <0.001 1.042 1.024–1.062 400 m Grip strength 0.047±0.011 <0.001 1.048 1.026–1.070 500 m Grip strength 0.051±0.016 0.001 1.053 1.021–1.086 VO2max level 4 METs Grip strength 0.054±0.010 <0.001 1.056 1.036–1.076 6 METs Grip strength 0.059±0.011 <0.001 1.061 1.039–1.083 8 METs Grip strength 0.081±0.015 <0.001 1.085 1.053–1.117 10 METs Grip strength 0.113±0.049 0.019 1.12 1.019–3.232 Data are presented as mean ± standard deviation (SD). 6MWT, 6-minute walk test; STEMI, ST-Elevation Myocardial Infarction; SE, standard error; CI, confidence interval; VO2max, Maximal Oxygen uptake; METs, Metabolic equivalents.
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Lee Y, Lee N, Jeong Y, Hwang S, Kim W, Cho S, Palsson BO, Cho BK. The Transcription Unit Architecture of Streptomyces lividans TK24. Front Microbiol 2019; 10:2074. [PMID: 31555254 PMCID: PMC6742748 DOI: 10.3389/fmicb.2019.02074] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 08/22/2019] [Indexed: 12/15/2022] Open
Abstract
Streptomyces lividans is an attractive host for production of heterologous proteins and secondary metabolites of other Streptomyces species. To fully harness the industrial potential of S. lividans, understanding its metabolism and genetic regulatory elements is essential. This study aimed to determine its transcription unit (TU) architecture and elucidate its diverse regulatory elements, including promoters, ribosome binding sites, 5′-untranslated regions, and transcription terminators. Total 1,978 transcription start sites and 1,640 transcript 3′-end positions were identified, which were integrated to determine 1,300 TUs, consistent with transcriptomic profiles. The conserved promoter sequences were found as 5′-TANNNT and 5′-TGAC, representing the −10 and −35 elements, respectively. Analysis of transcript 3′-end positions revealed the presence of distinctive terminator sequences and the RNA stem structure responsible for the determination of the 3′-boundary of a transcript. Functionally related genes are likely to be regulated simultaneously by using similar promoters and being transcribed as a poly-cistronic TU. Poly-cistronic TUs were further processed or alternatively transcribed into multiple TUs to fine-regulate individual genes in response to environmental conditions. The TU information and regulatory elements identified will serve as invaluable resources for understanding the complex regulatory mechanisms of S. lividans and to elevate its industrial potential.
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Kim W. P11.16 The stemness andinvasiveness of glioblastoma tumorspheres were suppressed by combined treatment with2’-hydroxycinnamaldehyde andtemozolomide. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz126.162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Glioblastoma (GBM) is the most common and aggressive human primary brain malignancy. The key properties of GBM, stemness and invasiveness, are known to be associated with a highly unfavorable prognosis. Notably, the process of epithelial-mesenchymal transition (EMT) is closely related to the progression of GBM. On the basis of reports that 2′-hydroxycinnamaldehyde (HCA) and its derivative, 2′-benzoyloxycinnamaldehyde (BCA), suppresses EMT in several human cancer cells, we sought to evaluate the therapeutic efficacy of HCA and BCA, alone and in combination with temozolomide (TMZ), on GBM tumorspheres (TSs).
MATERIAL AND METHODS
Two human GBM TSs were treated with HCA, BCA, or TMZ. Therapeutic effects were evaluated by measuring ATP levels, neurosphere formation, 3D-invasion in collagen matrix, and viability. Protein expression profiles after drug treatment were evaluated by western blotting. In vivo anticancer efficacy of drugs was examined in a mouse orthotopic xenograft model.
RESULTS
Combined treatment of GBM TSs with HCA or BCA and TMZ significantly reduced cell viability, stemness, and invasiveness. Expression levels of stemness-, invasiveness-, and mesenchymal transition-associated markers, Zeb1, N-cadherin, and β-catenin, were also substantially decreased by the combined treatment. The combined treatment also reduced tumor growth in a mouse orthotopic xenograft model.
CONCLUSION
Our findings suggest that HCA and BCA, combined with TMZ, are potential therapeutic agents in the treatment of GBM.
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Yang J, Lee Y, Yim S, Kim J, Lee H, Choi Y, Lee G, Kim W. 052 A Case of CD30+ T-cell Lymphoproliferative Disorder Following Trauma on the Scalp. J Invest Dermatol 2019. [DOI: 10.1016/j.jid.2019.07.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Kim W, Cho J, Jay Young JR. Platelet Activity Dose Not Associated With Hemoglobin Level In Patients With Hemodialysis. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Kim W, Young RJ, Hyun CJ. Bay 60-2770 Attenuates Doxorubicin-Induced Cardiotoxicity By Preventing Mitochondrial Membrane Potential Loss. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Kim S, Chae J, Jung L, Lee S, Lee S, Rhee K, Kim W, Ko J, Lee J, Kim Y. Cytochrome Epoxygenase P450 2j Promote Ppar Α -Mediated Autophagy In Ob-/Ob- Rats. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Kim W, Cho MH, Sakornsakolpat P, Lynch DA, Coxson HO, Tal-Singer R, Silverman EK, Beaty TH. DSP variants may be associated with longitudinal change in quantitative emphysema. Respir Res 2019; 20:160. [PMID: 31324189 PMCID: PMC6642569 DOI: 10.1186/s12931-019-1097-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 06/12/2019] [Indexed: 02/06/2023] Open
Abstract
Background Emphysema, characterized by lung destruction, is a key component of Chronic Obstructive Pulmonary Disease (COPD) and is associated with increased morbidity and mortality. Genome-wide association studies (GWAS) have identified multiple genetic factors associated with cross-sectional measures of quantitative emphysema, but the genetic determinants of longitudinal change in quantitative measures of emphysema remain largely unknown. Our study aims to identify genetic variants associated with longitudinal change in quantitative emphysema measured by computed tomography (CT) imaging. Methods We included current and ex-smokers from two longitudinal cohorts: COPDGene, a study of Non-Hispanic Whites (NHW) and African Americans (AA), and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE). We calculated annual change in two quantitative measures of emphysema based on chest CT imaging: percent low attenuation area (≤ − 950HU) (%LAA-950) and adjusted lung density (ALD). We conducted GWAS, separately in 3030 NHW and 1158 AA from COPDGene and 1397 Whites from ECLIPSE. We further explored effects of 360 previously reported variants and a lung function based polygenic risk score on annual change in quantitative emphysema. Results In the genome-wide association analysis, no variants achieved genome-wide significance (P < 5e-08). However, in the candidate region analysis, rs2076295 in the DSP gene, previously associated with COPD, lung function and idiopathic pulmonary fibrosis, was associated with change in %LAA-950 (β (SE) = 0.09 (0.02), P = 3.79e-05) and in ALD (β (SE) = − 0.06 (0.02), P = 2.88e-03). A lung function based polygenic risk score was associated with annual change in %LAA-950 (P = 4.03e-02) and with baseline measures of quantitative emphysema (P < 1e-03) and showed a trend toward association with annual change in ALD (P = 7.31e-02). Conclusions DSP variants may be associated with longitudinal change in quantitative emphysema. Additional investigation of the DSP gene are likely to provide further insights into the disease progression in emphysema and COPD. Trial registration Clinicaltrials.gov Identifier: NCT00608764, NCT00292552. Electronic supplementary material The online version of this article (10.1186/s12931-019-1097-8) contains supplementary material, which is available to authorized users.
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Hattawy M, Baltzell NA, Dupré R, Bültmann S, De Vita R, El Alaoui A, El Fassi L, Egiyan H, Girod FX, Guidal M, Hafidi K, Jenkins D, Liuti S, Perrin Y, Stepanyan S, Torayev B, Voutier E, Adhikari S, Angelini G, Ayerbe Gayoso C, Barion L, Battaglieri M, Bedlinskiy I, Biselli AS, Bossù F, Brooks W, Cao F, Carman DS, Celentano A, Chatagnon P, Chetry T, Ciullo G, Clark L, Cole PL, Contalbrigo M, Crede V, D'Angelo A, Dashyan N, De Sanctis E, Defurne M, Deur A, Diehl S, Djalali C, Ehrhart M, Eugenio P, Fegan S, Filippi A, Forest TA, Fradi A, Garçon M, Gavalian G, Gevorgyan N, Gilfoyle GP, Giovanetti KL, Golovatch E, Gothe RW, Griffioen KA, Harrison N, Hauenstein F, Hayward TB, Heddle D, Hicks K, Holtrop M, Ilieva Y, Ireland DG, Isupov EL, Jo HS, Johnston S, Keller D, Khachatryan G, Khachatryan M, Khanal A, Khandaker M, Kim CW, Kim W, Klein FJ, Kubarovsky V, Kuhn SE, Lanza L, L Kabir M, Lenisa P, Livingston K, MacGregor IJD, Marchand D, Markov N, Mayer M, McKinnon B, Meziani ZE, Mineeva T, Mirazita M, Montgomery RA, Munoz Camacho C, Nadel-Turonski P, Niccolai S, Ostrovidov AI, Pappalardo LL, Paremuzyan R, Pasyuk E, Pogorelko O, Poudel J, Prok Y, Protopopescu D, Ripani M, Riser D, Rizzo A, Rosner G, Rossi P, Sabatié F, Salgado C, Schumacher RA, Sharabian YG, Skorodumina I, Sokhan D, Soto O, Sparveris N, Strauch S, Taiuti M, Tan JA, Tyler N, Ungaro M, Voskanyan H, Wang R, Watts DP, Wei X, Weinstein LB, Wood MH, Zachariou N, Zhang J, Zhao ZW. Exploring the Structure of the Bound Proton with Deeply Virtual Compton Scattering. PHYSICAL REVIEW LETTERS 2019; 123:032502. [PMID: 31386486 DOI: 10.1103/physrevlett.123.032502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/12/2019] [Indexed: 06/10/2023]
Abstract
In the past two decades, deeply virtual Compton scattering of electrons has been successfully used to advance our knowledge of the partonic structure of the free proton and investigate correlations between the transverse position and the longitudinal momentum of quarks inside the nucleon. Meanwhile, the structure of bound nucleons in nuclei has been studied in inclusive deep-inelastic lepton scattering experiments off nuclear targets, showing a significant difference in longitudinal momentum distribution of quarks inside the bound nucleon, known as the EMC effect. In this Letter, we report the first beam spin asymmetry (BSA) measurement of exclusive deeply virtual Compton scattering off a proton bound in ^{4}He. The data used here were accumulated using a 6 GeV longitudinally polarized electron beam incident on a pressurized ^{4}He gaseous target placed within the CLAS spectrometer in Hall-B at the Thomas Jefferson National Accelerator Facility. The azimuthal angle (ϕ) dependence of the BSA was studied in a wide range of virtual photon and scattered proton kinematics. The Q^{2}, x_{B}, and t dependencies of the BSA on the bound proton are compared with those on the free proton. In the whole kinematical region of our measurements, the BSA on the bound proton is smaller by 20% to 40%, indicating possible medium modification of its partonic structure.
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Jürgensen C, Mikulik D, Kim W, Ghisalberti L, Bernard G, Friedl M, Carter WC, Fontcuberta I Morral A, Romero-Gomez P. Growth of nanowire arrays from micron-feature templates. NANOTECHNOLOGY 2019; 30:285302. [PMID: 30952155 DOI: 10.1088/1361-6528/ab1699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Here, we present a two-step annealing procedure to imprint nanofeatures on SiO2 starting from metallic microfeatures. The first annealing transforms the microfeatures into gold nanoparticles and the second imprints these nanoparticles into the SiO2 layer with nanometric control. The resulting nanohole arrays show a high ensemble uniformity. As a potential application, the nanohole mask is used as a selective mask for the Ga self-assisted growth of GaAs nanowires (NWs). Thus, for the first time, a successful implementation of nano-self-imprinting that links high-throughput microlithography with bottom-up NW growth is shown. The beneficial hole morphology of the SiO2 mask promotes high Ga droplet contact angles with the silicon substrate and the formation of single droplets in the mask holes. This droplet predeposition configuration enables a high vertical yield of NWs. Thus, this article describes a new protocol to grow NW devices that combines simultaneously nanosized holes and parallel processing.
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Abbott B, Abbott R, Abbott T, Abraham S, Acernese F, Ackley K, Adams C, Adhikari R, Adya V, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Allen G, Allocca A, Aloy M, Altin P, Amato A, Ananyeva A, Anderson S, Anderson W, Angelova S, Antier S, Appert S, Arai K, Araya M, Areeda J, Arène M, Arnaud N, Arun K, Ascenzi S, Ashton G, Aston S, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader M, Bae S, Baker P, Baldaccini F, Ballardin G, Ballmer S, Banagiri S, Barayoga J, Barclay S, Barish B, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell A, Beniwal D, Berger B, Bergmann G, Bernuzzi S, Bero J, Berry C, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Bilenko I, Bilgili S, Billingsley G, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard M, Blackburn J, Blair C, Tasson J, Taylor R, Tenorio R, Thies F, Thomas M, Thomas P, Thondapu S, Thorne K, Thrane E, Tiwari S, Blair D, Tiwari S, Tiwari V, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie C, Töyrä D, Travasso F, Traylor G, Blair R, Tringali M, Trovato A, Trozzo L, Trudeau R, Tsang K, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Bloemen S, Ueno K, Ugolini D, Unnikrishnan C, Urban A, Usman S, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, Bode N, van den Brand J, Van Den Broeck C, Vander-Hyde D, van Heijningen J, van der Schaaf L, van Veggel A, Vardaro M, Varma V, Vass S, Vasúth M, Boer M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets A, Boetzel Y, Vine D, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin S, Wade A, Wade L, Wade M, Bogaert G, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang J, Wang W, Wang Y, Ward R, Bondu F, Warden Z, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein A, Weiss R, Weldon G, Bonilla E, Wellmann F, Wen L, Wessel E, Weßels P, Westhouse J, Wette K, Whelan J, Whiting B, Whittle C, Wilken D, Bonnand R, Williams D, Williamson A, Willis J, Willke B, Wimmer M, Winkler W, Wipf C, Wittel H, Woan G, Woehler J, Booker P, Wofford J, Worden J, Wright J, Wu D, Wysocki D, Xiao L, Yamamoto H, Yancey C, Yang L, Yap M, Boom B, Yazback M, Yeeles D, Yu H, Yu H, Yuen S, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Booth C, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhou M, Zhou Z, Zhu X, Zucker M, Zweizig J, Bork R, Pisarski A, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady P, Bramley A, Branchesi M, Brau J, Briant T, Briggs J, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks A, Brown D, Brunett S, Buikema A, Bulik T, Bulten H, Buonanno A, Buskulic D, Buy C, Byer R, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister T, Calloni E, Camp J, Campbell W, Cannon K, Cao H, Cao J, Capocasa E, Carbognani F, Caride S, Carney M, Carullo G, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chakravarti K, Chamberlin S, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro B, Chen H, Chen X, Chen Y, Cheng HP, Cheong C, Chia H, Chincarini A, Chiummo A, Cho G, Cho H, Cho M, Christensen N, Chu Q, Chua S, Chung K, Chung S, Ciani G, Ciecielag P, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark J, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colgan R, Colleoni M, Collette C, Collins C, Cominsky L, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corley K, Cornish N, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coughlin S, Coulon JP, Countryman S, Couvares P, Covas P, Cowan E, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Cripe J, Croquette M, Crowder S, Cullen T, Cumming A, Cunningham L, Cuoco E, Dal Canton T, Dálya G, Danilishin S, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier L, Dattilo V, Dave I, Davier M, Davis D, Daw E, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, DeMarchi L, Demos N, Dent T, De Pietri R, Derby J, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz M, Dietrich T, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Donovan F, Dooley K, Doravari S, Dorosh O, Dorrington I, Downes T, Drago M, Driggers J, Du Z, Ducoin JG, Dupej P, Dwyer S, Easter P, Edo T, Edwards M, Effler A, Ehrens P, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Essick R, Estelles H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr W, Fauchon-Jones E, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer M, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira E, Ferreira T, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher R, Fishner J, Fitz-Axen M, Flaminio R, Fletcher M, Flynn E, Fong H, Font J, Forsyth P, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov V, Fulda P, Fyffe M, Gabbard H, Gadre B, Gaebel S, Gair J, Gammaitoni L, Ganija M, Gaonkar S, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime J, Giardina K, Giazotto A, Gill K, Giordano G, Glover L, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro J, Gopakumar A, Gorodetsky M, Gossan S, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson E, Groot P, Grote H, Grunewald S, Gruning P, Guidi G, Gulati H, Guo Y, Gupta A, Gupta M, Gustafson E, Gustafson R, Haegel L, Halim O, Hall B, Hall E, Hamilton E, Hammond G, Haney M, Hanke M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hanson J, Hardwick T, Haris K, Harms J, Harry G, Harry I, Haskell B, Haster CJ, Haughian K, Hayes F, Healy J, Heidmann A, Heintze M, Heitmann H, Hello P, Hemming G, Hendry M, Heng I, Hennig J, Heptonstall A, Hernandez Vivanco F, Heurs M, Hild S, Hinderer T, Hoak D, Hochheim S, Hofman D, Holgado A, Holland N, Holt K, Holz D, Hopkins P, Horst C, Hough J, Hourihane S, Howell E, Hoy C, Hreibi A, Huerta E, Huet D, Hughey B, Hulko M, Husa S, Huttner S, Huynh-Dinh T, Idzkowski B, Iess A, Ingram C, Inta R, Intini G, Irwin B, Isa H, Isac JM, Isi M, Iyer B, Izumi K, Jacqmin T, Jadhav S, Jani K, Janthalur N, Jaranowski P, Jenkins A, Jiang J, Johnson D, Jones A, Jones D, Jones R, Jonker R, Ju L, Junker J, Kalaghatgi C, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner J, Kapadia S, Karki S, Karvinen K, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana N, Kéfélian F, Keitel D, Kennedy R, Key J, Khalili F, Khan H, Khan I, Khan S, Khan Z, Khazanov E, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim K, Kim W, Kim W, Kim YM, Kimball C, King E, King P, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kleybolte L, Klika J, Klimenko S, Knowles T, Koch P, Koehlenbeck S, Koekoek G, Koley S, Kondrashov V, Kontos A, Koper N, Korobko M, Korth W, Kowalska I, Kozak D, Kringel V, Krishnendu N, Królak A, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey B, Lai K, Lam T, Landry M, Lane B, Lang R, Lange J, Lantz B, Lanza R, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee C, Lee H, Lee H, Lee H, Lee J, Lee K, Lehmann J, Lenon A, Leroy N, Letendre N, Levin Y, Leviton J, Li J, Li K, Li T, Li X, Lin F, Linde F, Linker S, Littenberg T, Liu J, Liu X, Lo R, Lockerbie N, London L, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough J, Lousto C, Lovelace G, Lower M, Lück H, Lumaca D, Lundgren A, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod D, Macquet A, Magaña-Sandoval F, Magaña Zertuche L, Magee R, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell G, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martynov D, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann J, McCarthy R, McClelland D, McCormick S, McCuller L, McGuire S, McIver J, McManus D, McRae T, McWilliams S, Meacher D, Meadors G, Mehmet M, Mehta A, Meidam J, Melatos A, Mendell G, Mercer R, Mereni L, Merilh E, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers P, Miao H, Michel C, Middleton H, Mikhailov E, Milano L, Miller A, Miller A, Millhouse M, Mills J, Milovich-Goff M, Minazzoli O, Minenkov Y, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Mo G, Moffa D, Mogushi K, Mohapatra S, Montani M, Moore C, Moraru D, Moreno G, Morisaki S, Mours B, Mow-Lowry C, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz E, Muratore M, Murray P, Nardecchia I, Naticchioni L, Nayak R, Neilson J, Nelemans G, Nelson T, Nery M, Neunzert A, Ng K, Ng S, Nguyen P, Nichols D, Nissanke S, Nocera F, North C, Nuttall L, Obergaulinger M, Oberling J, O’Brien B, O’Dea G, Ogin G, Oh J, Oh S, Ohme F, Ohta H, Okada M, Oliver M, Oppermann P, Oram RJ, O’Reilly B, Ormiston R, Ortega L, O’Shaughnessy R, Ossokine S, Ottaway D, Overmier H, Owen B, Pace A, Pagano G, Page M, Pai A, Pai S, Palamos J, Palashov O, Palomba C, Pal-Singh A, Pan HW, Pang B, Pang P, Pankow C, Pannarale F, Pant B, Paoletti F, Paoli A, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone B, Pedersen C, Pedraza M, Pedurand R, Pele A, Penn S, Perez C, Perreca A, Pfeiffer H, Phelps M, Phukon K, Piccinni O, Pichot M, Piergiovanni F, Pillant G, Pinard L, Pirello M, Pitkin M, Poggiani R, Pong D, Ponrathnam S, Popolizio P, Porter E, Powell J, Prajapati A, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Privitera S, Prodi G, Prokhorov L, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez P, Quintero E, Quitzow-James R, Raab F, Radkins H, Radulescu N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez K, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze D, Ren W, Ricci F, Richardson C, Richardson J, Ricker P, Riles K, Rizzo M, Robertson N, Robie R, Robinet F, Rocchi A, Rolland L, Rollins J, Roma V, Romanelli M, Romano R, Romel C, Romie J, Rose K, Rosińska D, Rosofsky S, Ross M, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez E, Sanchez L, Sanchis-Gual N, Sandberg V, Sanders J, Santiago K, Sarin N, Sassolas B, Sathyaprakash B, Saulson P, Sauter O, Savage R, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield R, Schönbeck A, Schreiber E, Schulte B, Schutz B, Schwalbe S, Scott J, Scott S, Seidel E, Sellers D, Sengupta A, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock D, Shaffer T, Shahriar M, Shaner M, Shao L, Sharma P, Shawhan P, Shen H, Shink R, Shoemaker D, Shoemaker D, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Silva A, Singer L, Singh N, Singhal A, Sintes A, Sitmukhambetov S, Skliris V, Slagmolen B, Slaven-Blair T, Smith J, Smith R, Somala S, Son E, Sorazu B, Sorrentino F, Souradeep T, Sowell E, Spencer A, Srivastava A, Srivastava V, Staats K, Stachie C, Standke M, Steer D, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson S, Stocks D, Stone R, Stops D, Strain K, Stratta G, Strigin S, Strunk A, Sturani R, Stuver A, Sudhir V, Summerscales T, Sun L, Sunil S, Suresh J, Sutton P, Swinkels B, Szczepańczyk M, Tacca M, Tait S, Talbot C, Talukder D, Tanner D, Tápai M, Taracchini A. All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.100.024004] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aubin F, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Beniwal D, Bensch M, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bilenko IA, Bilgili SA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Boetzel Y, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Carullo G, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia HY, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Costa CFDS, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Derby J, Dergachev V, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Álvarez MD, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Goetz E, Goetz R, Goncharov B, González G, Castro JMG, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hamilton HF, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Hernandez FJ, Heurs M, Hild S, Hinderer T, Hoak D, Hochheim S, Hofman D, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hreibi A, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Iess A, Indik N, Ingram C, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Johnson DS, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Key JS, Khalili FY, Khamesra B, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li TGF, Li X, Linker SD, Littenberg TB, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Hernandez IM, Magaña-Sandoval F, Zertuche LM, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Mills J, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagar A, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Ng KY, Ng S, Nguyen P, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Nocera F, Nolting D, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poggiani R, Popolizio P, Porter EK, Possenti L, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Ricker PM, Riemenschneider GM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Robson T, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sarin N, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Shen H, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Slaven-Blair TJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Steltner B, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tamanini N, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Ueno K, Ugolini D, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westerweck J, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong WK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yam W, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J. Tests of General Relativity with GW170817. PHYSICAL REVIEW LETTERS 2019; 123:011102. [PMID: 31386391 DOI: 10.1103/physrevlett.123.011102] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/21/2019] [Indexed: 06/10/2023]
Abstract
The recent discovery by Advanced LIGO and Advanced Virgo of a gravitational wave signal from a binary neutron star inspiral has enabled tests of general relativity (GR) with this new type of source. This source, for the first time, permits tests of strong-field dynamics of compact binaries in the presence of matter. In this Letter, we place constraints on the dipole radiation and possible deviations from GR in the post-Newtonian coefficients that govern the inspiral regime. Bounds on modified dispersion of gravitational waves are obtained; in combination with information from the observed electromagnetic counterpart we can also constrain effects due to large extra dimensions. Finally, the polarization content of the gravitational wave signal is studied. The results of all tests performed here show good agreement with GR.
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Kim C, Kim W, Han Y, Kim J, Chon H. Cancer immunotherapy with STING agonist and PD-1 immune checkpoint inhibitor effectively suppresses peritoneal carcinomatosis of colon cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.130] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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93
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Bak G, Choi JH, Jang HI, Jang JS, Jeon SH, Joo KK, Ju K, Jung DE, Kim JG, Kim JH, Kim JY, Kim SB, Kim SY, Kim W, Kwon E, Lee DH, Lee HG, Lee YC, Lim IT, Moon DH, Pac MY, Park YS, Rott C, Seo H, Seo JW, Seo SH, Shin CD, Yang JY, Yoo J, Yu I. Fuel-Composition Dependent Reactor Antineutrino Yield at RENO. PHYSICAL REVIEW LETTERS 2019; 122:232501. [PMID: 31298906 DOI: 10.1103/physrevlett.122.232501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 05/16/2019] [Indexed: 06/10/2023]
Abstract
We report a fuel-dependent reactor electron antineutrino (ν[over ¯]_{e}) yield using six 2.8 GW_{th} reactors in the Hanbit nuclear power plant complex, Yonggwang, Korea. The analysis uses 850 666 ν[over ¯]_{e} candidate events with a background fraction of 2.0% acquired through inverse beta decay (IBD) interactions in the near detector for 1807.9 live days from August 2011 to February 2018. Based on multiple fuel cycles, we observe a fuel ^{235}U dependent variation of measured IBD yields with a slope of (1.51±0.23)×10^{-43} cm^{2}/fission and measure a total average IBD yield of (5.84±0.13)×10^{-43} cm^{2}/fission. The hypothesis of no fuel-dependent IBD yield is ruled out at 6.6σ. The observed IBD yield variation over ^{235}U isotope fraction does not show significant deviation from the Huber-Mueller (HM) prediction at 1.3 σ. The measured fuel-dependent variation determines IBD yields of (6.15±0.19)×10^{-43} and (4.18±0.26)×10^{-43} cm^{2}/fission for two dominant fuel isotopes ^{235}U and ^{239}Pu, respectively. The measured IBD yield per ^{235}U fission shows the largest deficit relative to the HM prediction. Reevaluation of the ^{235}U IBD yield per fission may mostly solve the reactor antineutrino anomaly (RAA) while ^{239}Pu is not completely ruled out as a possible contributor to the anomaly. We also report a 2.9 σ correlation between the fractional change of the 5 MeV excess and the reactor fuel isotope fraction of ^{235}U.
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Witzig T, Sokol L, Kim W, Foss F, Jacobsen E, de la Cruz Vincente F, Caballero D, Advani R, Roncero Vidal J, Marin-Niebla A, Rodriguez Izquierdo A, de Ona Navarrete R, Terol M, Domingo-Domenech E, Rodriguez M, Piris M, Bolognese J, Janes M, Burrows F, Kessler L, Mishra V, Curry R, Kurman M, Scholz C, Gualberto A. TIPIFARNIB IN RELAPSED OR REFRACTORY ANGIOIMMUNOBLASTIC T-CELL LYMPHOMA (AITL) AND CXCL12+ PERIPHERAL T-CELL LYMPHOMA (PTCL): PRELIMINARY RESULTS FROM A PHASE 2 STUDY. Hematol Oncol 2019. [DOI: 10.1002/hon.32_2629] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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95
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Tam C, Wang M, Simpson D, Opat S, Cull G, Munoz J, Phillips T, Kim W, Atwal S, Wei R, Huang J, Elstrom R, Trotman J. UPDATED SAFETY AND EFFICACY DATA IN THE PHASE 1 TRIAL OF PATIENTS WITH MANTLE CELL LYMPHOMA (MCL) TREATED WITH BRUTON TYROSINE KINASE (BTK) INHIBITOR ZANUBRUTINIB (BGB-3111). Hematol Oncol 2019. [DOI: 10.1002/hon.55_2630] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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96
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Jeong S, Kim S, Hong J, Park Y, Kang H, Koh Y, Lee G, Lee W, Yang D, Do Y, Kim M, Yoo K, Yun W, Yi J, Jo J, Eom H, Kwak J, Shin H, Park B, Lee J, Yi S, Kwon J, Oh S, Kim H, Sohn B, Won J, Hong D, Lee H, Suh C, Kim W. A PROSPECTIVE REGISTRY STUDY OF PEG-G-CSF PROPHYLAXIS FOR PATIENTS WITH DIFFUSE LARGE B-CELL LYMPHOMA (CISL 1403). Hematol Oncol 2019. [DOI: 10.1002/hon.122_2631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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97
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Kim S, Jo J, Yoon D, Hong J, Do Y, Yea J, Lim S, Shin H, Lee H, Yhim H, Yi J, Choi Y, Kim M, Yang D, Lee W, Kang H, Suh C, Kim W. RANDOMIZED PHASE II STUDY OF CHOP VS. FRACTIONATED ICED IN TRANSPLANT-ELIGIBLE PATIENTS WITH PREVIOUSLY UNTREATED PERIPHERAL T-CELL LYMPHOMA: INTERIM RESULTS OF CISL1504. Hematol Oncol 2019. [DOI: 10.1002/hon.146_2631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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98
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Illidge T, Horwitz S, Iyer S, Bartlett N, Kim W, Tilly H, Belada D, Feldman T, Illés Á, Jacobsen E, Hüttmann A, Zinzani P, O'Connor O, Trepicchio W, Miao H, Rao S, Onsum M, Manley T, Advani R. RESPONSE TO A+CHP BY CD30 EXPRESSION IN THE ECHELON-2 TRIAL. Hematol Oncol 2019. [DOI: 10.1002/hon.92_2630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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99
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Duer M, Schmidt A, Pybus JR, Segarra EP, Hrnjic A, Denniston AW, Weiss R, Hen O, Piasetzky E, Weinstein LB, Barnea N, Korover I, Cohen EO, Hakobyan H, Adhikari S, Angelini G, Battaglieri M, Beck A, Bedlinskiy I, Biselli AS, Boiarinov S, Brooks W, Burkert VD, Cao F, Carman DS, Celentano A, Chetry T, Ciullo G, Clark L, Cole PL, Contalbrigo M, Cortes O, Crede V, Cruz Torres R, D'Angelo A, Dashyan N, De Sanctis E, De Vita R, Deur A, Diehl S, Djalali C, Dupre R, Duran B, Egiyan H, El Alaoui A, El Fassi L, Eugenio P, Filippi A, Forest TA, Gilfoyle GP, Giovanetti KL, Girod FX, Golovatch E, Gothe RW, Griffioen KA, Guo L, Hafidi K, Hanretty C, Harrison N, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hicks K, Holtrop M, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jo HS, Joo K, Kabir ML, Keller D, Khachatryan M, Khanal A, Khandaker M, Kim W, Klein FJ, Kubarovsky V, Kuhn SE, Lanza L, Laskaris G, Lenisa P, Livingston K, MacGregor IJD, Marchand D, Markov N, McKinnon B, Mey-Tal Beck S, Mirazita M, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Mustapha B, Nadel-Turonski P, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Paremuzyan R, Park K, Pasyuk E, Patsyuk M, Phelps W, Pogorelko O, Prok Y, Protopopescu D, Ripani M, Rizzo A, Rosner G, Rossi P, Sabatié F, Schmookler BA, Schumacher RA, Sharabian Y, Skorodumina I, Sokhan D, Sparveris N, Stepanyan S, Strauch S, Taiuti M, Tan JA, Tyler N, Ungaro M, Voskanyan H, Voutier E, Wang R, Wei X, Wood MH, Zachariou N, Zhang J, Zhao ZW, Zheng X. Direct Observation of Proton-Neutron Short-Range Correlation Dominance in Heavy Nuclei. PHYSICAL REVIEW LETTERS 2019; 122:172502. [PMID: 31107086 DOI: 10.1103/physrevlett.122.172502] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/11/2019] [Indexed: 06/09/2023]
Abstract
We measured the triple coincidence A(e,e^{'}np) and A(e,e^{'}pp) reactions on carbon, aluminum, iron, and lead targets at Q^{2}>1.5 (GeV/c)^{2}, x_{B}>1.1 and missing momentum >400 MeV/c. This was the first direct measurement of both proton-proton (pp) and neutron-proton (np) short-range correlated (SRC) pair knockout from heavy asymmetric nuclei. For all measured nuclei, the average proton-proton (pp) to neutron-proton (np) reduced cross-section ratio is about 6%, in agreement with previous indirect measurements. Correcting for single-charge exchange effects decreased the SRC pairs ratio to ∼3%, which is lower than previous results. Comparisons to theoretical generalized contact formalism (GCF) cross-section calculations show good agreement using both phenomenological and chiral nucleon-nucleon potentials, favoring a lower pp to np pair ratio. The ability of the GCF calculation to describe the experimental data using either phenomenological or chiral potentials suggests possible reduction of scale and scheme dependence in cross-section ratios. Our results also support the high-resolution description of high-momentum states being predominantly due to nucleons in SRC pairs.
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Roy P, Park S, Crede V, Anisovich AV, Klempt E, Nikonov VA, Sarantsev AV, Wei NC, Huang F, Nakayama K, Adhikari KP, Adhikari S, Angelini G, Avakian H, Barion L, Battaglieri M, Bedlinskiy I, Biselli AS, Boiarinov S, Briscoe WJ, Brock J, Brooks WK, Burkert VD, Cao F, Carlin C, Carman DS, Celentano A, Chatagnon P, Chetry T, Ciullo G, Cole PL, Contalbrigo M, Cortes O, D'Angelo A, Dashyan N, De Vita R, De Sanctis E, Deur A, Diehl S, Djalali C, Dugger M, Dupre R, Duran B, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Eugenio P, Fegan S, Filippi A, Fradi A, Gilfoyle GP, Girod FX, Golovatch E, Gothe RW, Griffioen KA, Guidal M, Guo L, Hafidi K, Hanretty C, Harrison N, Hattawy M, Hayward TB, Heddle D, Hicks K, Holtrop M, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jenkins D, Jo HS, Johnston S, Joosten S, Kabir ML, Keith CD, Keller D, Khachatryan G, Khachatryan M, Khanal A, Khandaker M, Kim A, Kim W, Klein FJ, Kubarovsky V, Kuleshov SV, Kunkel MC, Lanza L, Lenisa P, Livingston K, MacGregor IJD, Marchand D, McKinnon B, Meekins DG, Meyer CA, Mineeva T, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Niccolai S, Niculescu G, Osipenko M, Ostrovidov AI, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Payette D, Phelps W, Pierce J, Pogorelko O, Prok Y, Protopopescu D, Raue BA, Ripani M, Riser D, Ritchie BG, Rizzo A, Rosner G, Sabatié F, Salgado C, Schumacher RA, Seely ML, Sharabian YG, Shrestha U, Skorodumina I, Sokhan D, Soto O, Sparveris N, Strakovsky II, Strauch S, Taiuti M, Tan JA, Torayev B, Tyler N, Ungaro M, Voskanyan H, Voutier E, Walford NK, Wang R, Watts DP, Wei X, Wood MH, Zachariou N, Zhang J, Zhao ZW. First Measurements of the Double-Polarization Observables F, P, and H in ω Photoproduction off Transversely Polarized Protons in the N^{*} Resonance Region. PHYSICAL REVIEW LETTERS 2019; 122:162301. [PMID: 31075002 DOI: 10.1103/physrevlett.122.162301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/12/2019] [Indexed: 06/09/2023]
Abstract
First measurements of double-polarization observables in ω photoproduction off the proton are presented using transverse target polarization and data from the CEBAF Large Acceptance Spectrometer (CLAS) FROST experiment at Jefferson Lab. The beam-target asymmetry F has been measured using circularly polarized, tagged photons in the energy range 1200-2700 MeV, and the beam-target asymmetries H and P have been measured using linearly polarized, tagged photons in the energy range 1200-2000 MeV. These measurements significantly increase the database on polarization observables. The results are included in two partial-wave analyses and reveal significant contributions from several nucleon (N^{*}) resonances. In particular, contributions from new N^{*} resonances listed in the Review of Particle Properties are observed, which aid in reaching the goal of mapping out the nucleon resonance spectrum.
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