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Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Albanesi S, Allocca A, Altin PA, Amato A, Anand C, Anand S, Ananyeva A, Anderson SB, Anderson WG, Andrade T, Andres N, Andrić T, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ashton G, Assiduo M, Aston SM, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader MKM, Badger C, Bae S, Baer AM, Bagnasco S, Bai Y, Baird J, Ball M, Ballardin G, Ballmer SW, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Beveridge D, Bhandare R, Bhardwaj U, Bhattacharjee D, Bhaumik S, Bilenko IA, Billingsley G, Bini S, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bonavena LD, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer RL, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan JD, Callister TA, Calloni E, Cameron J, Camp JB, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon KC, Cao H, Capote E, Carapella G, Carbognani F, Carlin JB, 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J, Lemaître A, Leroy N, Letendre N, Levesque C, Levin Y, Leviton JN, Leyde K, Li AKY, Li B, Li J, Li TGF, Li X, Linde F, Linker SD, Linley JN, Littenberg TB, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo RKL, Lockwood A, London LT, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott TP, Lough JD, Lousto CO, Lovelace G, Lucaccioni JF, Lück H, Lumaca D, Lundgren AP, Lynam JE, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Hernandez IM, Magazzù C, Magee RM, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez VA, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy PK, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Meijer Q, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Middleton H, Milano L, Miller A, Miller AL, Miller B, Millhouse M, Mills JC, Milotti E, Minazzoli O, Minenkov Y, Mir LM, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moguel E, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, 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Pereira A, Pereira T, Perez CJ, Périgois C, Perkins CC, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto IM, Pinto M, Piotrzkowski K, Pirello M, Pitkin MD, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ray A, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reid SW, Reitze DH, Relton P, Renzini A, Rettegno P, Rezac M, Ricci F, Richards D, Richardson JW, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins JG, Romanelli M, Romano R, Romel CL, Romero-Rodríguez A, Romero-Shaw IM, Romie JH, Ronchini S, Rosa L, Rose CA, Rosińska D, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sathyaprakash BS, Sauter O, Savage RL, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Sellers D, Sengupta AS, Sentenac D, Seo EG, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shikauchi M, Shoemaker DH, Shoemaker DM, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Soldateschi J, Somala SN, Son EJ, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srinivasan R, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stevenson S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Sudhagar S, Sudhir V, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tait SC, Talbot CJ, Talbot C, Tanasijczuk AJ, Tanner DB, Tao D, Tao L, Martín ENTS, Taranto C, Tasson JD, Tenorio R, Terhune JE, Terkowski L, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen AM, Toland K, Tolley AE, Tonelli M, Torres-Forné A, Torrie CI, E Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Turbang K, Turconi M, Ubhi AS, Udall RP, Ueno K, Unnikrishnan CS, Urban AL, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, Vanosky J, van Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venneberg J, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets AD, Vijaykumar A, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis ERG, von Wrangel JSA, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washington NY, Watchi J, Weaver B, Webster SA, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wu DS, Wysocki DM, Xiao L, Yamamoto H, Yang FW, Yang L, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yoo J, Yu H, Yu H, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Zhao Y, Zhou R, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Jeong D, Shandera S. Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. PHYSICAL REVIEW LETTERS 2022; 129:061104. [PMID: 36018635 DOI: 10.1103/physrevlett.129.061104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/18/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 M_{⊙} and 1.0 M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200] Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2 M_{⊙}<m_{PBH}<1.0 M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1 M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.
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Wu Y, Bu X, Ke Y, Sun H, Li J, Chen L, Cui W, He Y, Wu L. Insight into the Stereocontrol of DNA Polymerase‐Catalysed Reaction by Chiral Cobalt Complexes. Adv Synth Catal 2022. [DOI: 10.1002/adsc.202200786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Wang LJ, Xu Y, Sun H, Zhang BG, Kong XL, Han HT, Li J, Li YJ, Yang LM, Guo YH, Wang YB. [First report of invasive Pomacea snails in Shandong Province]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2022; 34:407-411. [PMID: 36116933 DOI: 10.16250/j.32.1374.2022115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To characterize the species of invasive Pomacea snails that were discovered for the first time in Shandong Province. METHODS Pomacea snails samples were collected in the field of Jining City, Shandong Province on October 2021 for morphological identification. Pomacea snails were randomly sampled and genomic DNA was extracted from foot muscle tissues of Pomacea snails for multiplex PCR amplification. The PCR amplification product was sequenced. Then, the sequence was aligned and a phylogenetic tree was created using the software MegAlign 7.1.0. In addition, Angiostongylus cantonensis infection was detected in Pomacea snails with the lung microscopy. RESULTS A total of 104 living Pomacea snails were collected, and all were characterized as Pomacea spp. based on morphological features. Of 12 randomly selected adult Pomacea snails, multiplex PCR assay and sequencing identified eleven snails as P. canaliculata and one as P. maculata. No A. cantonensis infection was detected in 104 Pomacea snails. CONCLUSIONS This is the first report of invasive Pomacea snails in Shandong Province, where P. canaliculata and P. maculata are found.
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Wang C, Qu R, Zong Y, Qin C, Liu L, Gao X, Sun H, Sun Y, Chang KC, Zhang R, Liu J, Pu J. Enhanced stability of M1 protein mediated by a phospho-resistant mutation promotes the replication of prevailing avian influenza virus in mammals. PLoS Pathog 2022; 18:e1010645. [PMID: 35793327 PMCID: PMC9258882 DOI: 10.1371/journal.ppat.1010645] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/03/2022] [Indexed: 11/18/2022] Open
Abstract
Avian influenza virus (AIV) can evolve multiple strategies to combat host antiviral defenses and establish efficient infectivity in mammals, including humans. H9N2 AIV and its reassortants (such as H5N6 and H7N9 viruses) pose an increasing threat to human health; however, the mechanisms involved in their increased virulence remain poorly understood. We previously reported that the M1 mutation T37A has become predominant among chicken H9N2 isolates in China. Here, we report that, since 2010, this mutation has also been found in the majority of human isolates of H9N2 AIV and its emerging reassortants. The T37A mutation of M1 protein enhances the replication of H9N2 AIVs in mice and in human cells. Interestingly, having A37 instead of T37 increases the M1 protein stability and resistance to proteasomal degradation. Moreover, T37 of the H9N2 M1 protein is phosphorylated by protein kinase G (PKG), and this phosphorylation induces the rapid degradation of M1 and reduces viral replication. Similar effects are also observed in the novel H5N6 virus. Additionally, ubiquitination at K187 contributes to M1-37T degradation and decreased replication of the virus harboring T37 in the M1 protein. The prevailing AIVs thereby evolve a phospho-resistant mutation in the M1 protein to avoid viral protein degradation by host factors, which is advantageous in terms of replication in mammalian hosts. H9N2 avian influenza virus (AIV) and its reassortants (such as H5N6 and H7N9 viruses) pose an increasing threat to human health, but the mechanisms involved in their increased virulence remain poorly understood. Notably, the role of viral M1 protein in increasing the mammalian infection of AIV has been rarely reported. Here, we demonstrate that a phospho-resistant T37A mutation, encoded by the M1 protein of recently prevalent chicken H9N2 virus, increases M1 protein stability and viral replication in mammalian cells. The T37, but not the A37, in H9N2 M1 protein can be phosphorylated by protein kinase G (PKG). Through the T37A mutation, viral M1 protein evades phosphorylation-mediated proteasomal degradation, resulting in increased avian H9N2 virus replication in mice and in human cells. Similar effects were also observed for the novel H5N6 virus. This study provides insight into a novel strategy by which AIV evades mammalian host defenses. It is necessary to pay close attention to the epidemiological and public health implications of AIVs carrying this mutant M1 protein.
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Wang X, Hu J, Song L, Rong E, Yang C, Chen X, Pu J, Sun H, Gao C, Burt DW, Liu J, Li N, Huang Y. Functional divergence of oligoadenylate synthetase 1 (OAS1) proteins in Tetrapods. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1395-1412. [PMID: 34826092 DOI: 10.1007/s11427-021-2002-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
OASs play critical roles in immune response against virus infection by polymerizing ATP into 2-5As, which initiate the classical OAS/RNase L pathway and induce degradation of viral RNA. OAS members are functionally diverged in four known innate immune pathways (OAS/RNase L, OASL/IRF7, OASL/RIG-I, and OASL/cGAS), but how they functionally diverged is unclear. Here, we focus on evolutionary patterns and explore the link between evolutionary processes and functional divergence of Tetrapod OAS1. We show that Palaeognathae and Primate OAS1 genes are conserved in genomic and protein structures but differ in function. The former (i.e., ostrich) efficiently synthesized long 2-5A and activated RNase L, while the latter (i.e., human) synthesized short 2-5A and did not activate RNase L. We predicted and verified that two in-frame indels and one positively selected site in the active site pocket contributed to the functional divergence of Palaeognathae and Primate OAS1. Moreover, we discovered and validated that an in-frame indel in the C-terminus of Palaeognathae OAS1 affected the binding affinity of dsRNA and enzymatic activity, and contributed to the functional divergence of Palaeognathae OAS1 proteins. Our findings unravel the molecular mechanism for functional divergence and give insights into the emergence of novel functions in Tetrapod OAS1.
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Gao J, Zhang L, Peng K, Sun H. [Diagnostic value of serum tumor markers CEA, CYFRA21-1, SCCAg, NSE and ProGRP for lung cancers of different pathological types]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2022; 42:886-891. [PMID: 35790439 DOI: 10.12122/j.issn.1673-4254.2022.06.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To evaluate the diagnostic value of the serum tumor markers carcinoembryonic antigen (CEA), cytokeratin-19-fragment (CYFRA21-1), squamous cell carcinoma associated antigen (SCCAg), neuron-specificenolase (NSE) and pro-gastrin-releasing peptide (ProGRP) for lung cancers of different pathological types. METHODS This study was conducted among patients with established diagnoses of lung adenocarcinoma (LADC, n=137), lung squamous cell carcinoma (LSCC, n=82), small cell lung carcinoma (SCLC, n=59), and benign chest disease (BCD, n=102). The serum tumor markers were detected for all the patients for comparison of the positivity rates and their serum levels. ROC curve was used for analysis of the diagnostic efficacy of these tumor markers either alone or in different combinations. RESULTS In patients with LADC, the positivity rate and serum level of CEA were significantly higher than those in the other groups (P < 0.05); the patients with LSCC had the highest positivity rate and serum level of SCCAg among the 4 groups (P < 0.05). The positivity rates and serum levels of ProGRP and NSE were significantly higher in SCLC group than in the other groups (P < 0.05). CYFRA21-1 showed the highest positivity rate and serum level in LADC group and LSCC group. With the patients with BCD as control, CEA showed a diagnostic sensitivity of 62.8% and a specificity of 93.1% for LADC, and the sensitivity and specificity of SCCAg for diagnosing LSCC were 64.6% and 91.2%, respectively. CYFRA21-1 had the highest diagnostic sensitivity for LADC and LSCC. The diagnostic sensitivity and specificity of ProGRP for SCLC were 83.1% and 98.0%, respectively. When combined, CYFRA21-1 and CEA showed a high sensitivity (78.8%) and specificity (86.3%) for diagnosing LADC with an AUC of 0.891; CYFRA21-1 and SCCAg had a high sensitivity (84.1%) and specificity (87.3%) for diagnosing LSCC with an AUC of 0.912. NSE combined with ProGRP was highly sensitive (88.1%) and specific (98.0%) for diagnosis of SCLC, with an AUC of 0.952. For lung cancers of different pathological types, the combination of all the 5 tumor markers showed no significant differences in the diagnostic power from a combined detection with any two of the markers (P>0.05). CONCLUSION CEA, CYFRA21-1, SCCAg, NSE and ProGRP are all related to the pathological type of lung cancers and can be used in different combinations as useful diagnostic indicators for lung cancers.
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Ablikim M, Achasov M, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen C, Chen G, Chen H, Chen M, Chen S, Chen T, Chen X, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui J, Dai H, Dai J, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong L, Dong M, Dong X, Du S, Egorov P, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fischer K, Fritsch M, Fu C, Gao H, Gao Y, Gao Y, Garbolino S, Garzia I, Ge P, Ge Z, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, He K, Heinsius F, Heinz C, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang K, Huang L, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jia Z, Jiang H, Jiang S, Jiang X, Jiang Y, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li L, Li M, Li P, Li S, Li S, Li T, Li W, Li W, Li X, Li X, Li X, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Limphirat A, Lin C, Lin D, Lin T, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu G, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu L, Liu L, Liu M, Liu P, Liu Q, Liu S, Liu T, Liu W, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu X, Lu Y, Lu Y, Lu Z, Luo C, Luo M, Luo T, Luo X, Lyu X, Lyu Y, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma Y, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Miao H, Min T, Mitchell R, Mo X, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu Y, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Pelizaeus M, Peng H, Peters K, Ping J, Ping R, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi H, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin J, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Qu S, Rashid K, Ravindran K, Redmer C, Ren K, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan K, Shan W, Shan X, Shangguan J, Shao L, Shao M, Shen C, Shen H, Shen X, Shi B, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Stieler F, Su K, Su P, Su Y, Sun G, Sun H, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun X, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Tao L, Tao Q, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang B, Wang C, Wang D, Wang F, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang S, Wang S, Wang T, Wang T, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu X, Wu Y, Wu Z, Xia L, Xiang T, Xiao G, Xiao H, Xiao S, Xiao Y, Xiao Z, Xie C, Xie X, Xie Y, Xie Y, Xie Y, Xie Z, Xing T, Xu C, Xu C, Xu G, Xu H, Xu Q, Xu X, Xu Y, Xu Z, Yan F, Yan L, Yan W, Yan W, Yang H, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan S, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng F, Zeng XZ, Zeng Y, Zhan Y, Zhang A, Zhang B, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang P, Zhang Q, Zhang S, Zhang S, Zhang X, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zhong B, Zhong C, Zhong X, Zhou H, Zhou L, Zhou X, Zhou X, Zhou X, Zhou X, Zhou Y, Zhu J, Zhu K, Zhu K, Zhu L, Zhu S, Zhu S, Zhu T, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Measurement of the branching fraction of the doubly Cabibbo-suppressed decay
D0→K+π−π0
and search for
D0→K+π−π0π0. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.112001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Sun H, Deng G, Sun H, Song J, Zhang W, Li H, Wei X, Li F, Zhang X, Liu J, Pu J, Sun Y, Tong Q, Bi Y, Xie Y, Qi J, Chang KC, Gao GF, Liu J. N-linked glycosylation enhances hemagglutinin stability in avian H5N6 influenza virus to promote adaptation in mammals. PNAS NEXUS 2022; 1:pgac085. [PMID: 36741455 PMCID: PMC9896958 DOI: 10.1093/pnasnexus/pgac085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/05/2022] [Indexed: 02/07/2023]
Abstract
Clade 2.3.4.4 avian H5Ny viruses, namely H5N2, H5N6, and H5N8, have exhibited unprecedented intercontinental spread in poultry. Among them, only H5N6 viruses are frequently reported to infect mammals and cause serious human infections. In this study, the genetic and biological characteristics of surface hemagglutinin (HA) from clade 2.3.4.4 H5Ny avian influenza viruses (AIVs) were examined for adaptation in mammalian infection. Phylogenetic analysis identified an amino acid (AA) deletion at position 131 of HA as a distinctive feature of H5N6 virus isolated from human patients. This single AA deletion was found to enhance H5N6 virus replication and pathogenicity in vitro and in mammalian hosts (mice and ferrets) through HA protein acid and thermal stabilization that resulted in reduced pH threshold from pH 5.7 to 5.5 for viral-endosomal membrane fusion. Mass spectrometry and crystal structure revealed that the AA deletion in HA at position 131 introduced an N-linked glycosylation site at 129, which increases compactness between HA monomers, thus stabilizes the trimeric structure. Our findings provide a molecular understanding of how HA protein stabilization promotes cross-species avian H5N6 virus infection to mammalian hosts.
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Abbott R, Abbott T, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari R, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Aston S, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Baylor A, Bazzan M, Bécsy B, Bedakihale V, Bejger M, Belahcene I, Benedetto V, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry C, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Beniwal D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz E, Murray P, Musenich R, Muusse S, Bennett T, Nadji S, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Napolano V, Bentley J, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak R, Negishi R, Neil B, Neilson J, Nelemans G, Nelson T, BenYaala M, Nery M, Neubauer P, Neunzert A, Ng K, Ng S, Nguyen C, Nguyen P, Nguyen T, Quynh LN, Ni WT, Bergamin F, Nichols S, Nishizawa A, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nozaki S, Nuttall L, Oberling J, Berger B, O’Brien B, Obuchi Y, O’Dell J, Oelker E, Ogaki W, Oganesyan G, Oh J, Oh K, Oh S, Ohashi M, Bernuzzi S, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada M, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Bersanetti D, Oram R, O’Reilly B, Ormiston R, Ormsby N, Ortega L, O’Shaughnessy R, O’Shea E, Oshino S, Ossokine S, Osthelder C, Bertolini A, Otabe S, Ottaway D, Overmier H, Pace A, Pagano G, Page M, Pagliaroli G, Pai A, Pai S, Palamos J, Betzwieser J, Palashov O, Palomba C, Pan H, Pan K, Panda P, Pang H, Pang P, Pankow C, Pannarale F, Pant B, Beveridge D, Panther F, Paoletti F, Paoli A, Paolone A, Parisi A, Park H, Park J, Parker W, Pascucci D, Pasqualetti A, Bhandare R, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron A, Paul S, Payne E, Pedraza M, Pegoraro M, Bhardwaj U, Pele A, Arellano FP, Penn S, Perego A, Pereira A, Pereira T, Perez C, Périgois C, Perkins C, Perreca A, Bhattacharjee D, Perriès S, Petermann J, Petterson D, Pfeiffer H, Pham K, Phukon K, Piccinni O, Pichot M, Piendibene M, Piergiovanni F, Bhaumik S, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto I, Pinto M, Piotrzkowski K, Pirello M, Bilenko I, Pitkin M, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong D, Ponrathnam S, Popolizio P, Billingsley G, Porter E, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati A, Prasai K, Prasanna R, Pratten G, Principe M, Bini S, Prodi G, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Birney R, Quetschke V, Quitzow-James R, Raab F, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail S, Raja S, Rajan C, Birnholtz O, Ramirez K, Ramirez T, Ramos-Buades A, Rana J, Rapagnani P, Rapol U, Ray A, Raymond V, Raza N, Razzano M, Biscans S, Read J, Rees L, Regimbau T, Rei L, Reid S, Reid S, Reitze D, Relton P, Renzini A, Rettegno P, Bischi M, Rezac M, Ricci F, Richards D, Richardson J, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Biscoveanu S, Robertson N, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins J, Romanelli M, Romano J, Romano R, Bisht A, Romel C, Romero-Rodríguez A, Romero-Shaw I, Romie J, Ronchini S, Rosa L, Rose C, Rosińska D, Ross M, Rowan S, Biswas B, Rowlinson S, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Bitossi M, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia O, Salconi L, Saleem M, Bizouard MA, Salemi F, Samajdar A, Sanchez E, Sanchez J, Sanchez L, Sanchis-Gual N, Sanders J, Sanuy A, Saravanan T, Sarin N, Blackburn J, Sassolas B, Satari H, Sathyaprakash B, Sato S, Sato T, Sauter O, Savage R, Sawada T, Sawant D, Sawant H, Blair C, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield R, Blair D, Schönbeck A, Schulte B, Schutz B, Schwartz E, Scott J, Scott S, Seglar-Arroyo M, Sekiguchi T, Sekiguchi Y, Sellers D, Blair R, Sengupta A, Sentenac D, Seo E, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar M, Shams B, Shao L, Bobba F, Sharma A, Sharma P, Shawhan P, Shcheblanov N, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shinkai H, Bode N, Shishido T, Shoda A, Shoemaker D, Shoemaker D, ShyamSundar S, Sieniawska M, Sigg D, Singer L, Singh D, Singh N, Boer M, Singha A, Sintes A, Sipala V, Skliris V, Slagmolen B, Slaven-Blair T, Smetana J, Smith J, Smith R, Soldateschi J, Bogaert G, Somala S, Somiya K, Son E, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Boldrini M, Souradeep T, Sowell E, Spagnuolo V, Spencer A, Spera M, Srinivasan R, Srivastava A, Srivastava V, Staats K, Stachie C, Bonavena L, Steer D, Steinlechner J, Steinlechner S, Stops D, Stover M, Strain K, Strang L, Stratta G, Strunk A, Sturani R, Bondu F, Stuver A, Sudhagar S, Sudhir V, Sugimoto R, Suh H, Summerscales T, Sun H, Sun L, Sunil S, Sur A, Bonilla E, Suresh J, Sutton P, Suzuki T, Suzuki T, Swinkels B, Szczepańczyk M, Szewczyk P, Tacca M, Tagoshi H, Tait S, Bonnand R, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talbot C, Tanaka H, Tanaka K, Booker P, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk A, Tanioka S, Tanner D, Tao D, Tao L, Martín ETS, Taranto C, Boom B, Tasson J, Telada S, Tenorio R, Terhune J, Terkowski L, Thirugnanasambandam M, Thomas M, Thomas P, Thompson J, Thondapu S, Bork R, Thorne K, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen A, Toland K, Tolley A, Tomaru T, Tomigami Y, Boschi V, Tomura T, Tonelli M, Torres-Forné A, Torrie C, e Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Bose N, Tringali M, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau R, Tsai D, Tsai D, Tsang K, Tsang T, Bose S, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turbang K, Bossilkov V, Turconi M, Tuyenbayev D, Ubhi A, Uchikata N, Uchiyama T, Udall R, Ueda A, Uehara T, Ueno K, Ueshima G, Boudart V, Unnikrishnan C, Uraguchi F, Urban A, Ushiba T, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Bouffanais Y, Valsan V, van Bakel N, van Beuzekom M, van den Brand J, Van Den Broeck C, Vander-Hyde D, van der Schaaf L, van Heijningen J, Vanosky J, van Putten M, Bozzi A, van Remortel N, Vardaro M, Vargas A, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venneberg J, Bradaschia C, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets A, Vijaykumar A, Brady P, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis E, von Wrangel J, Vorvick C, Vyatchanin S, Bramley A, Wade L, Wade M, Wagner K, Walet R, Walker M, Wallace G, Wallace L, Walsh S, Wang J, Wang J, Branch A, Wang W, Ward R, Warner J, Was M, Washimi T, Washington N, Watchi J, Weaver B, Webster S, Weinert M, Branchesi M, Weinstein A, Weiss R, Weller C, Wellmann F, Wen L, Weßels P, Wette K, Whelan J, White D, Whiting B, Brau J, Whittle C, Wilken D, Williams D, Williams M, Williamson A, Willis J, Willke B, Wilson D, Winkler W, Wipf C, Breschi M, Wlodarczyk T, Woan G, Woehler J, Wofford J, Wong I, Wu C, Wu D, Wu H, Wu S, Wysocki D, Briant T, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang F, Briggs J, Yang L, Yang Y, Yang Y, Yang Z, Yap M, Yeeles D, Yelikar A, Ying M, Yokogawa K, Yokoyama J, Brillet A, Yokozawa T, Yoo J, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Brinkmann M, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Brockill P, Zhao Y, Zhao Y, Zhou R, Zhou Z, Zhu X, Zhu ZH, Zucker M, Zweizig J, Brooks A, Brooks J, Brown D, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten H, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer R, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan J, Callister T, Calloni E, Cameron J, Camp J, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon K, Cao H, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin J, Carney M, Carpinelli M, Carrillo G, Carullo G, Carver T, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Ceasar M, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan C, Chan K, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chen C, Chen H, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong C, Cheung H, Chia H, Chiadini F, Chiang CY, Chiarini G, Chierici R, Chincarini A, Chiofalo M, Chiummo A, Cho G, Cho H, Choudhary R, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung K, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark E, Clark J, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen D, Cohen L, Colleoni M, Collette C, Colombo A, Colpi M, Compton C, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corezzi S, Corley K, Cornish N, Corre D, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coulon JP, Countryman S, Cousins B, Couvares P, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Criswell A, Croquette M, Crowder S, Cudell J, Cullen T, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall’Osso S, Dálya G, Dana A, DaneshgaranBajastani L, D’Angelo B, Danilishin S, D’Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier L, Datta S, Dattilo V, Dave I, Davier M, Davies G, Davis D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Diaz-Ortiz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo 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 A, Dmitriev A, Doctor Z, D’Onofrio L, Donovan F, Dooley K, Doravari S, Dorrington I, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Ewing B, Fafone V, Fair H, Fairhurst S, Farah A, Farinon S, Farr B, Farr W, Farrow N, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Frederick C, Freed J, Frei Z, Freise A, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard H, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Gould D, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson A, Gretarsson E, Griffith D, Griffiths W, Griggs H, Grignani G, Grimaldi A, Grimm S, Grote H, Grunewald S, Gruning P, Guerra D, Guidi G, Guimaraes A, Guixé G, Gulati H, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson E, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall E, Hamilton E, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hansen H, Hansen T, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry G, Harry I, Hartwig D, Hasegawa K, Haskell B, Hasskew R, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes F, Healy J, Heidmann A, Heidt A, Heintze M, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell A, Hemming G, Hendry M, Heng I, Hennes E, Hennig J, Hennig M, Hernandez A, Vivanco FH, Heurs M, Hild S, Hill P, Himemoto Y, Hines A, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann J, Holcomb D, Holland N, Hollows I, Holmes Z, Holt K, Holz D, Hong Z, Hopkins P, Hough J, Hourihane S, Howell E, Hoy C, Hoyland D, Hreibi A, Hsieh BH, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang Y, Hübner M, Huddart A, Hughey B, Hui D, Hui V, Husa S, Huttner S, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer B, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav S, Jadhav S, James A, Jan A, Jani K, Janquart J, Janssens K, Janthalur N, Jaranowski P, Jariwala D, Jaume R, Jenkins A, Jenner K, Jeon C, Jeunon M, Jia W, Jin HB, Johns G, Jones A, Jones D, Jones J, Jones P, Jones R, Jonker R, Ju L, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee A, Knowles T, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak D, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kuwahara S, Kwak K, Lagabbe P, Laghi D, Lalande E, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee H, Lee H, Lee H, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leonardi M, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li T, Li X, Lin CY, Lin FK, Lin FL, Lin H, Lin LCC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo R, Lockwood A, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Macas R, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Liu X, Ye G, Lei X, Li H, Yang T, Chen S, Yu Y, Chen X, Zhang G, Sun H, Bibikova M, Cui C, Chen Z, Fan J. P-51 Non-invasive HER2 status diagnosis in gastric cancer using surrogate DNA methylation markers. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Garzon R, Pichiorri F, Palumbo T, Visentini M, Aqeilan R, Cimmino A, Wang H, Sun H, Volinia S, Alder H, Calin GA, Liu CG, Andreeff M, Croce CM. Correction to: MicroRNA gene expression during retinoic acid-induced differentiation of human acute promyelocytic leukemia. Oncogene 2022; 41:3452-3453. [PMID: 35546352 DOI: 10.1038/s41388-022-02351-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Zhao C, Zhang H, Lei Z, Miao S, Sun H, Sun Y, Zhang W, Jia M. Graphitic carbon-wrapped iron nanoparticles derived from a melamine-modified metal-organic framework as efficient Friedel-Crafts acylation catalysts. Catal Today 2022. [DOI: 10.1016/j.cattod.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Liao TH, Hu WY, Sun H, Ye WJ, Guo Q, Zhou ZX. SYNTHESIS, CRYSTAL STRUCTURE, DFT CALCULATIONS AND VIBRATIONAL PROPERTIES OF METHYL(tert-BUTOXYCARBONYL)-L- TYROSINATE AND METHYL(2,2,2- TRIFLUOROACETYL)-L-TYROSINATE. J STRUCT CHEM+ 2022. [DOI: 10.1134/s0022476622010127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Qi F, Sun H, Zhang L, Zheng J. Comparison of curative effect between different retrograde filling materials in young permanent molar root canal therapy. Cell Mol Biol (Noisy-le-grand) 2022; 67:305-310. [DOI: 10.14715/cmb/2021.67.6.40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Indexed: 11/18/2022]
Abstract
The first mandible and maxilla permanent molars are the first permanent teeth that grow next to the deciduous teeth and may decay due to carelessness. Their caries can spread to the pulpal tentacles and cause pulpal and periapical diseases. In the current study, we tried to compare the curative effect of different retrograde filling materials, i.e. white MTA, gray MTA, Portland cement, and IRM, in young permanent molar root canal therapy. Because IL-1β stimulates bone degradation by osteoclasts, IL-1β gene expression was also measured for further evaluation. For this purpose, 400 students (240 boys and 160 girls) aged 8 to 11 years referred to the Pediatric Dental Center for first permanent molar root canal therapy were selected during two years. After recording the demographic characteristics of each patient, the first permanent molar teeth were examined by a general dentist with Abslang and decayed teeth were considered to have both discolorations in their grooves and apparent opacity. The patients, who need root canal therapy, were divided into four groups. The first group was treated with gray MTA. The second group was treated with white MTA. The third group received Portland cement for root canal therapy. The fourth group was treated with IRM. Also, IL-1β gene expression was evaluated by the real-time PCR technique. Relative changes in gene expression in PBMC cells were performed using One Way ANOVA. SPSS 18 software was used to determine the correlation of gene expression in PBMCs. The results showed that there was no significant difference between the groups in terms of age (p = 0.12) and gender (p = 0.24). Also, the need for endodontic treatment in the mandible (n = 278) was higher than the maxilla (n = 85) and both jaws (n = 37). But there was no significant difference between the groups in terms of the need for endodontic treatment (p = 0.32). The results of Pearson correlation coefficients between studied groups in terms of IL-1β gene expression showed that gray MTA and white MTA were not statistically different, but MTAs were generally different from Portland cement and IRM, with higher IL-1β gene expression. In general, the results showed that the teeth in the vicinity of gray MTA and white MTA showed a more appropriate response than Portland cement and IRM, so the use of MTA and its preference over other materials is recommended. In the case of Portland cement, more studies are needed to reach a conclusion comparing this material with MTA.
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Sun H, Wang T, Xu ZX, Chen XF, Cao JB, Li H. [Effective dose and adverse reactions analysis of Remimazolam for sedation in elderly patients undergoing gastroscopy]. ZHONGHUA YI XUE ZA ZHI 2022; 102:332-335. [PMID: 35092973 DOI: 10.3760/cma.j.cn112137-20211111-02509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the 50% effective dose (ED50) and 95% effective dose (ED95) of Remimazolam during gastroscopic sedation in elderly patients, and to observe the adverse reactions during anesthesia. Methods: From July to November 2020, 39 elderly patients, of which there were 18 males and 21 females, aged from 65 to 82 (72±5) years, were examined by gastroscopy in the Second Affiliated Hospital of Hainan Medical University, who American Society of Anesthesiologists (ASA) was grade Ⅰ or Ⅱ. Sufentanil 0.1 μg/kg and test dose Remimazolam were injected intravenously, and the initial dose of Remimazolam was 0.17 mg/kg. The dose of the next patient was determined according to the modified Dixon sequential method. If the former patient had a positive reaction during gastroscopy, such as cough, nausea, vomiting and/or body movement reaction occurred when the gastroscope was placed into the pharynx or in the 2 min, the next patient would increase the dose, otherwise, the dose would be reduced. The dose increase and decrease gradient of Remimazolam was 0.01 mg/kg, and the test was stopped after 12 times of return. At the same time, the occurrence of adverse reactions during anesthesia was observed. Results: A total of 39 elderly patients completed the trial, of which 21 were effective and 18 were ineffective. When the elderly patients were sedated by gastroscopy, the ED50 of single intravenous injection of Remimazolam was 0.153 mg/kg (95%CI:0.151-0.154 mg/kg) and the ED95 was 0.164 mg/kg (95%CI:0.160-0.166 mg/kg). The total dose of Remimazolam was (10.6±2.8) mg, the recovery time was (10.0±3.4) min, and the stay time in resuscitation room was (8.2±2.6) min. During anesthesia, nausea and vomiting occurred in 1 case, transient hypotension in 4 cases, and no other adverse reactions were found. Conclusion: The ED50 of Remimazolam during gastroscopic sedation in elderly patients is 0.153 mg/kg, ED95 is 0.162 mg/kg, and the incidence of adverse reactions is low.
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Yan B, Lai A, Sun H. How to bridge residual distance to target low-density-lipoprotein cholesterol in acute coronary syndrome patients after initial statin therapy? Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehab849.170] [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
Funding Acknowledgements
Type of funding sources: None.
BACKGROUND
Current guidelines recommend intensive low-density-lipoprotein cholesterol (LDL-C) lowering by ≥50% to target LDL-C <1.4mmol/L after acute coronary syndrome (ACS). Residual distance to LDL-C target can help select treatment strategy after initial statin therapy.
PURPOSE
We aimed to evaluate residual distance to guideline recommended target LDL-C and the proportion of ACS patients who are projected to reach target LDL-C by different statin and non-statin lipid lowering strategies.
METHODS
We retrospectively analyzed 46,114 patients admitted with ACS who survived 1 year from 18 acute hospitals in Hong Kong between Jan 2014 and Dec 2018. Patients were divided into (i) high potency (HP-S; rosuvastatin ≥20mg, atorvastatin ≥40mg or simvastatin ≥80mg); (ii) non-high potency (NHP-S; other statin doses) statin users and (iii) no statin therapy. We calculated the mean distance and percentage LDL-C reduction required to reach dual LDL-C targets (>50% reduction from baseline and <1.4mmol/L). We assumed up-titration from NHP-S to HP-S would further reduce LDL-C by approximately 5-10%; addition of ezetimibe 15-20% and PCSK-9 inhibitor 50-60%.
RESULTS
Of 46,114 patients (60.7% males, mean age 76.2 ± 13.3 years), 80.4% (n = 10945/13614) had LDL-C ≥1.4mmol/L at 12-months after index ACS with 60.2% (n = 18319/30450), 31.9% (n = 9726/30450) and 8.0% (2405/30450) of patients on no statin, NHP-S and HP-S, respectively. 86% of HP-S and 93% of NHP-S users did not reach dual LDL-C targets at 12-months. Among patients on NHP-S and HP-S, the mean LDL-C at 12-months was 2.0 ± 0.7 and2.1 ± 0.9 mmol/L; mean residual distance to target 0.64 ± 0.7 and0.66 ± 0.9 mmol/L; and mean percentage LDL-C reduction required to reach dual LDL-C targets was 22.4 ± 33% and 18.8 ± 36%, respectively. 13% of statin users required >50% further LDL-C reduction to reach targets. Projected proportion of NHP-S users to reach LDL-C targets is 11% (n = 430/3966) by up-titrating to HP-S, 21% (n = 828/3966) by up-titration to HP-S plus ezetimibe and 100% (n = 3966/3966) with PCSK-9 inhibitor plus HP-S and ezetimibe. Projected proportion of HP-S users to reach LDL-C targets is 13% (n = 143/1099) by ezetimibe and 100% (n = 1099/1099) with addition of PCSK-9 inhibitor.
CONCLUSION
The use of high-potency statin was low and almost all statin users did not reach dual LDL-C targets at 12-months after index ACS. High potency statin plus ezetimibe is projected to bridge about a fifth of these patients to target LDL-C. PCSK-9 inhibitor is likely needed in the majority of patients who have not achieved target LDL-C at 12-months after ACS to reach guideline recommendations.
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Hu J, Hu Z, Wei Y, Zhang M, Wang S, Tong Q, Sun H, Pu J, Liu J, Sun Y. Mutations in PB2 and HA are crucial for the increased virulence and transmissibility of H1N1 swine influenza virus in mammalian models. Vet Microbiol 2022; 265:109314. [PMID: 34963076 DOI: 10.1016/j.vetmic.2021.109314] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/16/2021] [Accepted: 12/19/2021] [Indexed: 01/08/2023]
Abstract
Genetic analyses indicated that the pandemic H1N1/2009 influenza virus originated from a swine influenza virus (SIV). However, SIVs bearing the same constellation of genetic features as H1N1/2009 have not been isolated. Understanding the adaptation of SIVs with such genotypes in a new host may provide clues regarding the emergence of pandemic strains such as H1N1/2009. In this study, an artificial SIV with the H1N1/2009 genotype (rH1N1) was sequentially passaged in mice through two independent series, yielding multiple mouse-adapted mutants with high genetic diversity and increased virulence. These experiments were meant to mimic genetic bottlenecks during adaptation of wild viruses with rH1N1 genotypes in a new host. Molecular substitutions in the mouse-adapted variants mainly occurred in genes encoding surface proteins (hemagglutinin [HA] and neuraminidase [NA]) and polymerase proteins (polymerase basic 2 [PB2], polymerase basic 1 [PB1], polymerase acid [PA] proteins and nucleoprotein [NP]). The PB2D309N and HAL425M substitutions were detected at high frequencies in both passage lines and enhanced the replication and pathogenicity of rH1N1 in mice. Moreover, these substitutions also enabled direct transmission of rH1N1 in other mammals such as guinea pigs. PB2D309N showed enhanced polymerase activity and HAL425M showed increased stability compared with the wild-type proteins. Our findings indicate that if SIVs with H1N1/2009 genotypes emerge in pigs, they could undergo rapid adaptive changes during infection of a new host, especially in the PB2 and HA genes. These changes may facilitate the emergence of pandemic strains such as H1N1/2009.
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Wang GF, Sun SW, Sun H, Song SF, Jiang HS. Synthesis, Crystal Structure, and Luminescent Properties of a Cadmium(II) Coordination Polymer Constructed by Bis(4-(1H-Imidazol-1-yl)phenyl) Methanone and 1,4-Benzenedicarboxylate Ligands. CRYSTALLOGR REP+ 2021. [DOI: 10.1134/s1063774521070208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Li F, Liu J, Yang J, Sun H, Jiang Z, Wang C, Zhang X, Yu Y, Zhao C, Pu J, Sun Y, Chang KC, Liu J, Sun H. H9N2 virus-derived M1 protein promotes H5N6 virus release in mammalian cells: Mechanism of avian influenza virus inter-species infection in humans. PLoS Pathog 2021; 17:e1010098. [PMID: 34860863 PMCID: PMC8641880 DOI: 10.1371/journal.ppat.1010098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 11/05/2021] [Indexed: 11/18/2022] Open
Abstract
H5N6 highly pathogenic avian influenza virus (HPAIV) clade 2.3.4.4 not only exhibits unprecedented intercontinental spread in poultry, but can also cause serious infection in humans, posing a public health threat. Phylogenetic analyses show that 40% (8/20) of H5N6 viruses that infected humans carried H9N2 virus-derived internal genes. However, the precise contribution of H9N2 virus-derived internal genes to H5N6 virus infection in humans is unclear. Here, we report on the functional contribution of the H9N2 virus-derived matrix protein 1 (M1) to enhanced H5N6 virus replication capacity in mammalian cells. Unlike H5N1 virus-derived M1 protein, H9N2 virus-derived M1 protein showed high binding affinity for H5N6 hemagglutinin (HA) protein and increased viral progeny particle release in different mammalian cell lines. Human host factor, G protein subunit beta 1 (GNB1), exhibited strong binding to H9N2 virus-derived M1 protein to facilitate M1 transport to budding sites at the cell membrane. GNB1 knockdown inhibited the interaction between H9N2 virus-derived M1 and HA protein, and reduced influenza virus-like particles (VLPs) release. Our findings indicate that H9N2 virus-derived M1 protein promotes avian H5N6 influenza virus release from mammalian, in particular human cells, which could be a major viral factor for H5N6 virus cross-species infection.
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Wang L, Qi F, Hao L, Sun H. Evaluation of P53 gene expression by immunohistochemistry to diagnosis oral precancerous lesions. Cell Mol Biol (Noisy-le-grand) 2021; 67:158-162. [PMID: 34933716 DOI: 10.14715/cmb/2021.67.3.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Indexed: 11/18/2022]
Abstract
Oral Precancerous lesions include leukoplakia, erythroplakia, and mucosa palate changes due to reverse smoking. Assessing the prevalence of these lesions in a cross-sectional study can be effective in the timely prevention and treatment of lesions, in any community. Hence, in the present study, evaluation of P53 gene expression was done by immunohistochemistry method to diagnosis oral precancerous lesions. For this purpose, 111 Chinese patients (54 women and 57 men) were selected for examination. The age range of these patients was 22 to 69 years, and their average age was 32.6 years. All patients were examined by one physician. Oral mucosa was used for immunohistochemical evaluations. All samples taken from patients' mucosa were evaluated by one pathologist under a light microscope. 80 cases of the 111 patients were smokers and 27 were non-smokers. Among the 80 smokers, 56.25% had leukoplakia, 3.75% had erythroplakia, and 40% had mucosa palate changes. Regarding non-smokers, 74.07% had leukoplakia and 25.93% had erythroplakia. None of the non-smokers had mucosa palate changes. In terms of the lesion location, in patients with leukoplakia 89.23%, and patients with erythroplakia 90% of the lesion was located in the cheek mucosa and buccal vestibule. Also, in patients with leukoplakia 9.23%, and patients with erythroplakia 10% of the lesion was located in the lips vestibular mucosa. Only 1.54% of leukoplakia had a lesion in the vermilion border, and none of the erythroplakia patients had a lesion on the vermilion border. 76 patients (68.46%) showed positive expression of the P53 gene. The expression level of the P53 gene did not show a significant relationship with age, and the genders did not have a statistically significant difference in terms of gene expression. The expression level of the P53 gene was 59.8% in leukoplakia, 70% in erythroplakia, and 40% in Mucosa palate changes. The present study showed that the evaluation of P53 gene expression was well able to detect oral precancerous lesions and their severity by increasing their expression rate.
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Zhao FF, Zhang XZ, Zhang Y, Elmhadi M, Qin YY, Sun H, Zhang H, Wang MZ, Wang HR. Tannic Acid-Steeped Corn Grain Modulates in vitro Ruminal Fermentation Pattern and Microbial Metabolic Pathways. Front Vet Sci 2021; 8:698108. [PMID: 34778425 PMCID: PMC8581138 DOI: 10.3389/fvets.2021.698108] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
This study investigated the effects of tannic acid (TA)-treated corn on changes in ruminal fermentation characteristics and the composition of the ruminal bacterial community in vitro. Ruminal fluid was obtained from three rumen-fistulated goats fed a 60:40 (forage/concentrate) diet. The batch cultures consisted of 25 ml of strained rumen fluid in 25 ml of an anaerobic buffer containing 0.56 g of ground corn, 0.24 g of soybean meal, 0.10 g of alfalfa, and 0.10 g of oat grass. Ground corn (2 mm) was steeped in an equal quantity (i.e., in a ratio of 1:1, w/v) of water alone (Con), 15 (TA15), 25 (TA25), and 35 g/l (TA35) TA solution for 12 h. After incubation for 24 h, TA-treated corn linearly increased (P <0.05) ruminal pH and the molar proportion of acetate, but linearly reduced (P <0.05) total volatile fatty acids and the molar proportion of butyrate compared with the Con treatment. Illumina MiSeq sequencing was used to investigate the profile changes of the ruminal microbes. A principal coordinates analysis plot based on weighted UniFrac values revealed that the structure of the ruminal bacterial communities in the control group was different from that of the TA-treated corn groups. The results of changes in the rumen bacterial communities showed that TA-treated corn linearly enriched (P <0.05) Rikenellaceae_RC9_gut_group, but linearly reduced (P <0.05) Ruminococcaceae_NK4A214_group, Ruminococcus_2, and unclassified_o__Clostridiales. Functional prediction of ruminal microbiota revealed that the TA-treated corn linearly decreased ruminal microbiota function of utilizing starch through pyruvate metabolism. In conclusion, TA-treated corn can modulate the rumen fermentation characteristics, microbial composition, and metabolic pathways, which may be potentially useful for preventing the occurrence of ruminal acidosis.
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Liu Z, Sun H, Lai W, Hu M, Zhang Y, Bai C, Liu J, Ren H, Li F, Yan S. Genome-wide re-sequencing reveals population structure and genetic diversity of Bohai Black cattle. Anim Genet 2021; 53:133-136. [PMID: 34783059 DOI: 10.1111/age.13155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2021] [Indexed: 11/29/2022]
Abstract
Bohai Black (BHB) cattle, one of eight representative indigenous breeds in China, is well known for its high resistance to disease, endurance under unfavorable feeding conditions and excellent meat quality. Over recent, the number of BHB cattle has decreased sharply. To investigate the population structure and genetic diversity of this breed, the whole-genome data of 35 individuals from a conservation farm were obtained using the Illumina 150 bp paired-end platform. The results of the genetic structure and diversity analyses showed that BHB cattle had mixed Bos taurus and Bos indicus ancestry, close phylogenic relationships with Jiaxian Red and Luxi cattle and abundant genetic diversity. The bulls tested here could be divided into six families. This study presents a comprehensive evaluation of the genetic structure and diversity of the BHB cattle, and lays the theoretical basis for conservation and utilization of the valuable germplasm resource.
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Wang PP, Dong HL, Sun H, Pang XX, Cai CJ, Bai D, Li F, Yang MY, Lan X, Zeng G. [Association between dietary vitamin A intake and gestational diabetes mellitus in the first trimester]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:1293-1298. [PMID: 34749471 DOI: 10.3760/cma.j.cn112150-20201023-01305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the relationship between dietary vitamin A intake and its sources in the first trimester and gestational diabetes mellitus (GDM). Methods: A prospective study was conducted to select women at 6-14 weeks of gestation in an obstetric clinic of a maternal and child health care medical institution in Chengdu in 2017. The types and quantities of food during the first trimester were collected by 3-day 24-hour dietary recalls. Dietary vitamin A intake was calculated based on the Chinese Food Composition Table (2018), and it was divided into animal and plant vitamin A intakes according to its food sources. An oral glucose tolerance test was performed at 24-28 weeks of gestation to diagnose GDM according to the Chinese guidelines for diagnosis and treatment of gestational diabetes mellitus (2014). According to the estimated average requirement (EAR) and recommended nutrient intake (RNI), dietary vitamin A intake was divided into low-level group (<EAR), medium-level group (EAR-RNI) and high-level group (>RNI). Animal and plant vitamin A intakes were divided into four groups (Q1-Q4) according to the quartile method, respectively. The association between dietary vitamin A intake, its different sources of vitamin A intake and GDM in the first trimester was analyzed by log-binomial regression models. Results: A total of 1 298 valid samples were finally included. The average dietary vitamin A intake, animal and plant vitamin A intakes in the first trimester were 341.1 (227.8-501.0) μgRAE/d, 139.3 (69.6-195.3) μgRAE/d and 184.2 (99.4-301.1) μgRAE/d, respectively. After adjusting for confounding factors, log-binomial regression analysis showed that the risk of GDM in high-level group of dietary vitamin A intake was lower than that in low-level group [RR (95%CI):0.53 (0.36-0.80)]. Pregnant women in the highest quartile of animal vitamin A intake had a lower risk of GDM than those in the lowest quartile [RR (95%CI):0.66 (0.47-0.95)]. No relationship between plant vitamin A intake and GDM was found. Conclusion: Dietary vitamin A intake in the first trimester is associated with the occurrence of GDM, and higher intake than RNI may reduce the risk of GDM. Higher vitamin A intake from animal-derived food is associated with decreased risk of GDM.
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Zhao X, Xuan L, Yin J, Tang Y, Sun H, Wu S, Jing H, Fang H, Song Y, Jin J, Liu Y, Chen B, Qi S, Li N, Tang Y, Lu N, Yang Y, Li Y, Sun B, Wang S. Radiotherapy in Breast Cancer Patients With Isolated Regional Recurrence After Mastectomy: A Joint Analysis of 144 Cases From Two Institutions. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Sun H, Lai A, Yan B. Strategies to bridge therapeutic gap in low-density-lipoprotein cholesterol lowering among 90,590 Chinese population with atherosclerotic cardiovascular diseases on stable statin monotherapy. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2944] [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
Current guideline recommends addition of PCSK9-inhibitor to achieve low-density-lipoprotein cholesterol (LDL-C) lowering by ≥50% to target LDL-C <1.4mmol/L for patients with established atherosclerotic cardiovascular disease (ASCVD) already on maximum tolerated dose of statin and ezetimibe.
Purpose
We aimed to evaluate the residual distance to target LDL-C (LDL-C lowered by ≥50% and <1.4mmol/L) in ASCVD patients on statin monotherapy and the proportion projected to reach target LDL-C by up-titration to high potency statin, addition of ezetimibe and PCSK9-inhibitor.
Methods
We retrospectively analyzed 90,590 patients with ASCVD on stable dose of statin monotherapy prior to lipid profile assessment from 43 public hospitals in Hong Kong between Aug 2016 and Jul 2020. Patients were divided into (i) high potency statin (HP-S; rosuvastatin ≥20mg, atorvastatin ≥40mg or simvastatin ≥80mg) and (ii) non-high potency statin (NHP-S; other statin doses) statin users. We calculated the mean percentage LDL-C reduction required to reach the target of LDL-C lowered by ≥50% and <1.4mmol/L. We assumed up-titration from NHP-S to HP-S would further reduce LDL-C by approximately 5–10%; addition of ezetimibe 15–20% and PCSK-9 inhibitor 50–60%.
Results
Of 90,590 patients (63.2% male, mean age 66.8±11.3), 80.5% had coronary artery, 1.6% had peripheral artery and 21% had cerebrovascular disease; 18.7% were on HP-S and 81.3% on NHP-S. LDL-C lowered by ≥50% and <1.4mmol/L were not achieved in 96.8% (n=71,333/73,655) patients on NHP-S and 93.9% (n=15,896/16,935) patients on HP-S. In these patients, mean LDL-C was 1.8±0.6 and 1.9±0.6mmol/L and mean percentage LDL-C reduction required to reach target LDL-C goal was 40.5±15.4% and 39.3±17.8%, respectively. The proportion of patients who required 5–10%, 10–30%, 30–60% and >60% further reduction to reach target LDL-C were 2.5%, 22.1%, 65.4% and 9%, respectively. Proportion of NHP-S patients projected to reach LDL-C goal by up-titrating to HP-S is 2.2% (n=1,569/71,333). Addition of ezetimibe is projected to achieve LDL-C target in 20.5% (n=17,519/85,660) patients on HP-S who are not at goal. Overall, 78.1% (n=68,141/87,229) of patients on HP-S and ezetimibe were expected to need PCSK-9 inhibitor and is projected to achieve LDL-C target in 98% of cases (n=66,806/68,141).
Conclusion
Our “real-world” study showed the use of HP-S in ASCVD patients was low and >90% did not reach LDL-C target. High potency statin plus ezetimibe was projected to bridge about one fifth of these patients to target LDL-C. PCSK-9 inhibitor is likely required in significant number of patients despite HP-S plus ezetimibe.
Funding Acknowledgement
Type of funding sources: None.
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