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1. Apolipoprotein ε7 allele in memory complaints: insights through protein structure prediction

Author: Youn YC, Lim YK, Han SH, Giau VV, Lee MK, Park KY, Kim SY, Bagyinszky E, An SSA, and Kim HR
Subjects: Apolipoprotein structure, Alzheimer’s disease, vascular cognitive impairment, small vessel disease, Geriatrics, RC952-954.6
Abstract: Young Chul Youn,1,* Yong Kwan Lim,2,* Su-Hyun Han,1 Vo Van Giau,3 Mi-Kyung Lee,2 Kwang-Yeol Park,1 SangYun Kim,4,5 Eva Bagyinszky,3 Seong Soo A An,3 Hye Ryoun Kim2 1Department of Neurology, 2Department of Laboratory Medicine, Chung-Ang University College of Medicine, Seoul, 3College of BioNano Technology, Gachon BioNano Research Institute, Gachon University, 4Department of Neurology, Seoul National University Bundang Hospital, 5Department of Neurology, Seoul National University College of Medicine, Seongnam, South Korea *These authors contributed equally to this work Purpose: APOE ε7 gene is a rare mutant form of APOE ε3. The mutation occurs in the lipid-binding domain of APOE. Based on the protein’s structure, APOE ε7 is expected to function in lipid and β-amyloid metabolism, similar to APOE ε4. However, unlike that for APOE ε4, the mechanisms responsible for Alzheimer’s disease (AD) cases associated with APOE ε7 expression have not been elucidated. The present study aims to investigate the association between APOE ε7 expression and cognitive impairment. Methods: APOE was sequenced in DNA samples collected from 344 memory-complaint patients who visited the memory clinic, and from 345 non-memory-complaint individuals from the health promotion center. The protein structures of ApoE3, ApoE4, and ApoE7 were predicted. Results: Three ε3/ε7 heterozygote individuals who were all classified under the memory-complaint group were identified. Of these, two subjects were clinically diagnosed with AD with small vessel disease, and the remaining individual was diagnosed with subjective cognitive impairment. This study predicted the protein structures of ApoE3, ApoE4, and ApoE7 and determined the three-dimensional structure of the carboxy terminus of ApoE7, which participates in an electrostatic domain interaction similar to that of APOE ε4. APOE K244 or K245 mutations for APOE ε7 were not found in the Korean reference genome database, which contains information (http://152.99.75.168/KRGDB/browser/mainBrowser.jsp) from 622 healthy individuals. Conclusion: As verified by the results of structural prediction, APOE ε7 could serve as another risk factor for cognitive impairment and is particularly associated with vascular disease. However, additional studies are required to validate the pathogenic nature of APOE ε7. Keywords: apolipoprotein structure, Alzheimer’s disease, vascular cognitive impairment, small vessel disease
Published: 2017

2. North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends

Author: Barlow, M, Gutowski, WJ, Gyakum, JR, Katz, RW, Lim, YK, Schumacher, RS, Wehner, MF, Agel, L, Bosilovich, M, Collow, A, Gershunov, A, Grotjahn, R, Leung, R, Milrad, S, and Min, SK
Subjects: Atmospheric Sciences, Oceanography, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences
Abstract: This paper surveys the current state of knowledge regarding large-scale meteorological patterns (LSMPs) associated with short-duration (less than 1 week) extreme precipitation events over North America. In contrast to teleconnections, which are typically defined based on the characteristic spatial variations of a meteorological field or on the remote circulation response to a known forcing, LSMPs are defined relative to the occurrence of a specific phenomenon—here, extreme precipitation—and with an emphasis on the synoptic scales that have a primary influence in individual events, have medium-range weather predictability, and are well-resolved in both weather and climate models. For the LSMP relationship with extreme precipitation, we consider the previous literature with respect to definitions and data, dynamical mechanisms, model representation, and climate change trends. There is considerable uncertainty in identifying extremes based on existing observational precipitation data and some limitations in analyzing the associated LSMPs in reanalysis data. Many different definitions of “extreme” are in use, making it difficult to directly compare different studies. Dynamically, several types of meteorological systems—extratropical cyclones, tropical cyclones, mesoscale convective systems, and mesohighs—and several mechanisms—fronts, atmospheric rivers, and orographic ascent—have been shown to be important aspects of extreme precipitation LSMPs. The extreme precipitation is often realized through mesoscale processes organized, enhanced, or triggered by the LSMP. Understanding of model representation, trends, and projections for LSMPs is at an early stage, although some promising analysis techniques have been identified and the LSMP perspective is useful for evaluating the model dynamics associated with extremes.
Published: 2019

3. North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends

Author: Grotjahn, R, Black, R, Leung, R, Wehner, MF, Barlow, M, Bosilovich, M, Gershunov, A, Gutowski, WJ, Gyakum, JR, Katz, RW, Lee, YY, Lim, YK, and Prabhat
Subjects: Large scale meteorological patterns for temperature extremes, Heat waves, Hot spells, Cold air outbreaks, Cold spells, Statistics of temperature extremes, Dynamics of heat waves, Dynamics of cold air outbreaks, Dynamical modeling of temperature extremes, Statistical modeling of extremes, Trends in temperature extremes, Climate-Related Exposures and Conditions, Climate Change, Meteorology & Atmospheric Sciences, Atmospheric Sciences, Oceanography, Physical Geography and Environmental Geoscience
Abstract: The objective of this paper is to review statistical methods, dynamics, modeling efforts, and trends related to temperature extremes, with a focus upon extreme events of short duration that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs). The statistics, dynamics, and modeling sections of this paper are written to be autonomous and so can be read separately. Methods to define extreme events statistics and to identify and connect LSMPs to extreme temperature events are presented. Recent advances in statistical techniques connect LSMPs to extreme temperatures through appropriately defined covariates that supplement more straightforward analyses. Various LSMPs, ranging from synoptic to planetary scale structures, are associated with extreme temperature events. Current knowledge about the synoptics and the dynamical mechanisms leading to the associated LSMPs is incomplete. Systematic studies of: the physics of LSMP life cycles, comprehensive model assessment of LSMP-extreme temperature event linkages, and LSMP properties are needed. Generally, climate models capture observed properties of heat waves and cold air outbreaks with some fidelity. However they overestimate warm wave frequency and underestimate cold air outbreak frequency, and underestimate the collective influence of low-frequency modes on temperature extremes. Modeling studies have identified the impact of large-scale circulation anomalies and land–atmosphere interactions on changes in extreme temperatures. However, few studies have examined changes in LSMPs to more specifically understand the role of LSMPs on past and future extreme temperature changes. Even though LSMPs are resolvable by global and regional climate models, they are not necessarily well simulated. The paper concludes with unresolved issues and research questions.
Published: 2016

4. Atmospheric summer teleconnections and Greenland Ice Sheet surface mass variations: Insights from MERRA-2

Author: Lim, YK, Schubert, SD, Nowicki, SMJ, Lee, JN, Molod, AM, Cullather, RI, Zhao, B, and Velicogna, I
Subjects: Greenland, surface mass balance, North Atlantic Oscillation, East Atlantic pattern, teleconnection, Arctic climate, Meteorology & Atmospheric Sciences
Abstract: The relationship between leading atmospheric teleconnection patterns and Greenland Ice Sheet (GrIS) temperature, precipitation, and surface mass balance (SMB) are investigated for the last 36 summers (1979-2014) based on Modern-Era Retrospective analysis for Research and Applications version 2 reanalyses. The results indicate that the negative phase of both the North Atlantic Oscillation (NAO) and Arctic Oscillation, associated with warm and dry conditions for the GrIS, lead to SMB decreases within 0-1 months. Furthermore, the positive phase of the East Atlantic (EA) pattern often lags the negative NAO, reflecting a dynamical linkage between these modes that acts to further enhance the warm and dry conditions over the GrIS, leading to a favorable environment for enhanced surface mass loss. The development of a strong negative NAO in combination with a strong positive EA in recent years leads to significantly larger GrIS warming compared to when the negative NAO occurs in combination with a negative or weak positive EA (0.69 K versus 0.13 K anomaly). During 2009 and 2011, weakened (as compared to conditions during the severe surface melt cases of 2010 and 2012) local high pressure blocking produced colder northerly flow over the GrIS inhibiting warming despite the occurrence of a strong negative NAO, reflecting an important role for the EA during those years. In particular, the EA acts with the NAO to enhance warming in 2010 and 2012, and weaken high pressure blocking in 2009 and 2011. In general, high pressure blocking primarily impacts the western areas of the GrIS via advective temperature increases, while changes in net surface radiative fluxes account for both western and eastern GrIS temperature changes.
Published: 2016

5. Hurricanes and climate: The U.S. Clivar working group on hurricanes

Author: Walsh, KJE, Camargo, SJ, Vecchi, GA, Daloz, AS, Elsner, J, Emanuel, K, Horn, M, Lim, YK, Roberts, M, Patricola, C, Scoccimarro, E, Sobel, AH, Strazzo, S, Villarini, G, Wehner, M, Zhao, M, Kossin, JP, La Row, T, Oouchi, K, Schubert, S, Wang, H, Bacmeister, J, Chang, P, Chauvin, F, Jablonowski, C, Kumar, A, Murakami, H, Ose, T, Reed, KA, Saravanan, R, Yamada, Y, Zarzycki, CM, Luigi Vidale, P, Jonas, JA, and Henderson, N
Subjects: Meteorology & Atmospheric Sciences, Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience
Abstract: Although a theory of the climatology of tropical cyclone formation remains elusive, high-resolution climate models can now simulate many aspects of tropical cyclone climate.
Published: 2015

6. Cluster analysis of downscaled and explicitly simulated North Atlantic tropical cyclone tracks

Author: Daloz, AS, Camargo, SJ, Kossin, JP, Emanuel, K, Horn, M, Jonas, JA, Kim, D, Larow, T, Lim, YK, Patricola, CM, Roberts, M, Scoccimarro, E, Shaevitz, D, Vidale, PL, Wang, H, Wehner, M, and Zhao, M
Subjects: Meteorology & Atmospheric Sciences, Atmospheric Sciences, Oceanography, Geomatic Engineering
Abstract: A realistic representation of the North Atlantic tropical cyclone tracks is crucial as it allows, for example, explaining potential changes in U.S. landfalling systems. Here, the authors present a tentative study that examines the ability of recent climate models to represent North Atlantic tropical cyclone tracks. Tracks from two types of climate models are evaluated: explicit tracks are obtained from tropical cyclones simulated in regional or global climate models withmoderate to high horizontal resolution (1°-0.25°), and downscaled tracks are obtained using a downscaling technique with large-scale environmental fields from a subset of these models. For both configurations, tracks are objectively separated into four groups using a cluster technique, leading to a zonal and a meridional separation of the tracks. The meridional separation largely captures the separation between deep tropical and subtropical, hybrid or baroclinic cyclones, while the zonal separation segregates Gulf of Mexico and Cape Verde storms. The properties of the tracks' seasonality, intensity, and power dissipation index in each cluster are documented for both configurations. The authors' results show that, except for the seasonality, the downscaled tracks better capture the observed characteristics of the clusters. The authors also use three different idealized scenarios to examine the possible future changes of tropical cyclone tracks under 1) warming sea surface temperature, 2) increasing carbon dioxide, and 3) a combination of the two. The response to each scenario is highly variable depending on the simulation considered. Finally, the authors examine the role of each cluster in these future changes and find no preponderant contribution of any single cluster over the others.
Published: 2015

7. Characteristics of tropical cyclones in high-resolution models in the present climate

Author: Shaevitz, DA, Camargo, SJ, Sobel, AH, Jonas, JA, Kim, D, Kumar, A, Larow, TE, Lim, YK, Murakami, H, Reed, KA, Roberts, MJ, Scoccimarro, E, Vidale, PL, Wang, H, Wehner, MF, Zhao, M, and Henderson, N
Subjects: Atmospheric Sciences
Abstract: The global characteristics of tropical cyclones (TCs) simulated by several climate models are analyzed and compared with observations. The global climate models were forced by the same sea surface temperature (SST) fields in two types of experiments, using climatological SST and interannually varying SST. TC tracks and intensities are derived from each model's output fields by the group who ran that model, using their own preferred tracking scheme; the study considers the combination of model and tracking scheme as a single modeling system, and compares the properties derived from the different systems. Overall, the observed geographic distribution of global TC frequency was reasonably well reproduced. As expected, with the exception of one model, intensities of the simulated TC were lower than in observations, to a degree that varies considerably across models. Key Points: Multimodel comparison of tropical cyclone activity in global climate models Geographic distribution of the TC activity is similar to observed Most models produce tropical cyclones weaker than observed
Published: 2014

8. Safety and efficacy of non-steroidal anti-inflammatory drugs to reduce ileus after colorectal surgery

Author: Chapman, Sj, Clerc, D, Blanco‐colino, R, Otto, A, Nepogodiev, D, Pagano, G, Schaeff, V, Soares, A, Zaffaroni, G, Žebrák, R, Hodson, J, Glasbey, Jc, Pata, P, Pellino, G, Sgrò, A, Elst, T, Van Straten, S, Knowles, Ch, Borakati, A, Bath, Mf, Yasin, Ih, Mclean, K, Arthur, T, Kovacevic, M, Delibegovic, S, Karamanliev, M, Swamad, M, Paramasivam, R, Martensen, A, Larsen, Hm, Rädeker, L, Frey, Pe, Kechagias, A, Venara, A, Duchalais, E, Ioannidis, A, Pata, F, Pasquali, S, Simioni, A, Farina, V, Podda, M, Lorenzon, L, Jakubauskas, M, Elst, Tr, Chu, M, Fagan, Pvb, Wells, Ci, Alagoa João, A, Juloski, J, Ciubotaru, C, Popescu, S, Yanishev, A, Lee, S, Ozkan, Bb, Yagız Sen, A, Aktas, Mk, Baki, Be, Yüksek, B, Kamarajah, S, Khaw, Ra, Mills, E, Goodson, R, Thakral, N, Ablett, Ad, Adra, M, Kwek, I, Khan, Sm, Quinn, P, Manley, Lr, Badran, A, Ramjeeawon, A, Campbell, A, Tan, Hl, Rye, Ds, Rajaraman, N, Norman, Jg, Vutipongsatorn, K, Solomou, G, Akhbari, M, Ali, A, Murray, V, Baker, Dm, Brandao, Bd, Stainer, B, Thavayogan, R, Jones, D, Onafowokan, Oo, Gharooni, A, Dabab, N, Carlton‐carew, S, Kungwengwe, G, Gabriel, M, Sewart, E, Shortland, Tc, Lawday, S, Pockney, P, Dawson, A, Brumfitt, Cd, Stewart, P, Ng, B, Luong, Jk, Ivanov, V, Borisova, A, Neykov, V, Kunčarová, K, Kološová, B, Antonova, T, Farkašová, M, Harbjerg, Jl, Brandsborg, S, Brinck, S, Kjaer, Md, Mark‐christensen, A, Unbehaun, Kp, Dalsgaard, P, Lycke, Kd, Lenaoures, P, Brigand, C, Dumange, E, Gout, M, Moehwald, C, Prem, M, Alhalabi, O, Sliwinski, S, Krupp, J, Gablenz, E, Schmitzer, L, Kopp, A, Steinle, J, Gsenger, J, Pohl, Lj, Riccardi, M, Christodoulou, Im, Konstantinidis, M, Machairas, N, Zoikas, A, Balalis, D, Manatakis, Dk, Aguilera, Ml, Marano, L, Fleres, F, Lovisetto, F, Sasia, D, Segalini, E, Pata, G, Lucchi, A, Sagnotta, A, Campagnaro, T, Petrelli, F, Gallo, G, Papandrea, M, Testa, V, Sinibaldi, G, Di Candido, F, Colombo, F, Perrone, G, Aresu, S, Biancafarina, A, Canonico, G, Pagnanelli, M, Curletti, G, Bini, R, Manzoni Garberini, A, Impellizzeri, H, Cillara, N, Tutino, R, Picciariello, A, Coletta, D, Savino, G, Ferrara, F, Tamini, N, Talamo, G, Parini, D, Giamundo, P, lo Conte, A, Ripetti, V, Pesce, A, Menduni, N, Giudicissi, R, Goldin, E, Rega, D, Belli, A, Andriola, V, Gordini, L, Foppa, C, Piccolo, G, Birindelli, A, Ferrari, C, Ballarini, Z, Tirelli, F, Milone, M, De Rosa, M, Pipitone Federico, Ns, Molteni, B, Tilocca, Pl, Sancini, G, Piozzi, Gn, Lauretta, A, Poillucci, G, Mulas, S, Simcikas, D, Portelli, L, Wijnbergen, Jwm, Dinger, Tl, Doesschate, Sfh, Dalen, Ashm, Bos, Dd, Hansmann, M, Medina Feliz, J, Kuiper, Sz, Abdulrahman, Z, Pruijssers, Sr, Farik, S, Elliott, Bm, Geneta, Vp, Wilton, S, Kandelaki, H, Peng, Sl, Campbell, S, Lim, Yk, Yassaie, Ss, Murray, M, Haran, C, Tan, J, Castro, J, Laranjeira, A, Catarino, S, Neves‐marques, C, Correia, Jg, Vieira, Bn, Quintela, Ac, Serra, Ml, Maciel, J, Cunha, M, Aparício, Dj, Neves, J, Azevedo, J, Romano, M, Eiró, F, Romano, J, Monteiro, C, Claro, M, Almeida, Mr, Peyroteo, M, Machado, Nd, Capote, H, Ferreira, M, Sousa, X, Devesa, H, Cavadas, D, Guerreiro, I, Costa, M, Salman, M, English, C, Mohammed, N, Litvin, A, Ćuk, Vv, Mészárosová, K, Jaich, R, De Lima, H, Brooks, S, Marx, M, Nshalati Salvation, M, Blaser, B, Piazza, G, Gagliardi, B, Serin, H, Yurdaor, Ss, Arslan, E, Kopac, O, Uyanik, A, Ozmen, Bb, Tiftik, E, Aksoy, B, Yalcinkaya, A, Ozoglu, F, Kocer, Md, Bilicen, G, Cinar, En, Uslu, Ö, Kaya, Y, Wong, J, Farhan‐alanie, Mmh, Suresh, G, Asif, A, Finch, Bj, Bhahirathan, Y, Herron, J, Yi Tew, Z, Obukofe, R, Russell, C, Suchett‐kay, I, Netke, T, Williams, L, Kisiel, A, Liu, Fy, Claireaux, H, James, P, Mondal, A, Kalderon, R, Nadama, Hh, Al‐saraff, Z, Tam, Jph, Powell‐chandler, A, Wood, F, Gorgievska, Rebecca, Ragavoodoo, A, Thakrar, C, Rojoa, D, Palmer, C, Davidson, K, Giacci, L, Hale, J, Gan, Fw, Makin‐taylor, R, Hey, Cy, Toh, C, Findlay, Jm, Griffiths, N, Ganesananthan, S, Jasionowska, S, Poustie, M, Wong, C, Turner, T, Pyc, W, Sloper, W, Warner, C, Coey, J, Mason, D, Sait, S, Kowal, M, Owen, M, Saiyed, A, Ashworth, I, Akbari, K, Curran, M, Martin, P, Parker, D, Kwok, K, Lye, C, Ghaly, M, Sammour, T, Lewis, D, Mundasad, R, Wilkes, A, Ctercteko, G, Maslyankov, S, Dimov, R, Iliev, S, Dimitrov, D, Marek, F, Örhalmi, J, Skalický, P, Skalický, T, Chrz, K, Christensen, P, Worsøe, J, Kristensen, Es, Emmertsen, Kj, Loeve, Us, Mihaljevic, Al, Herrle, F, Konstantinidis, Km, Korkolis, D, Karanikas, I, Vincenti, L, Anania, G, Borghi, F, Agresta, F, Maretto, I, Parisi, A, Bucci, L, De Palma, G, Guglielmi, A, Cucinotta, E, La Torre, F, Cianchi, F, Guerrieri, M, Trompetto, M, Persiani, R, Micheletto, G, Cantafio, S, Ronconi, M, Bisagni, Pag, De Prizio, M, Franceschi, A, Galleano, R, Cavallini, M, Brescia, A, D'Ambra, L, Benevento, A, Niolu, P, Calgaro, M, Colangelo, E, Grottola, T, Altomare, Df, Puleo, S, Salamone, G, Pietrabissa, A, Poggioli, G, Erdas, E, Ottonello, R, Tonini, V, Selvaggi, F, Sammarco, G, Ceccarelli, G., De Nisco, C, Surgo, D, Taglietti, L., Ozolins, A, Sivinš, A, Poskus, T, Psaila, J, Bemelman, Wa, Graat, Lj, Langenhoff, B, Wijnhoven, Bpl, Ven, Ahw, Poelman, M, Stassen, Lps, Slooter, G, Acherman, Yiz, Hoff, C, Gerhards, Mf, Stommel, Mwj, Hazebroek, Ej, Geloven, Aaw, Schasfoort, Ra, Leeuwen, Bl, Tuynman, Jb, Tilburg, Mwa, Boerma, Eg, Sharma, P, Jenkins, B, Bissett, Ip, Herd, A, Gordon, A, Vernon, D, Omundsen, M, Ly, J, Reddy, A, Bonnet, G, Harmston, C, Morales, M, Francisco, V, Costa, S, Manso, A, Amorim, E, Pereira, J, Cardoso, J, Ourô, S, Caratão, M, Nascimento, C, Ribeiro da Silva, B, Taranu, V, Dias, R, Mendes, J, Allen, M, Silva, A, Carlos, S, Barbosa, E, Carneiro, C, Ramos, L, Lencastre, L, Martins, R, Silva‐vaz, P, Ridgway, Pf, Mcnamara, Da, Cahill, R, Hogan, A, Larkin, J, O'Connell, Pr, Negoi, I, Abelevich, A, Ćuk, Vm, Vician, M, Ede, C, Sardiwalla, I, Mulira, S, Montwedi, D, Oyomno, M, Hübner, M, Petermann, D, Sauvain, Mo, Ozben, V, Geçim, Ie, Disçi, E, Rencuzogullari, A, Kurt, A, Bisgin, T, Pehlivan, M, Isik, A, Onur, E, Leventoglu, S, Haksal, Mc, Erturk, Ms, Keskin, M, Guner, A, Tutcu Sahin, S, Ozbalci, Gs, Pergel, A, Albayrak, D, Bruce, D, Fearnhead, N, Arthur, J, Harron, M, Beattie, G, Titu, L, Saunders, M, Phillips, J, Dindyal, S, Cresswell, B, Gercek, Y, Lee, J, Linn, T, Faulkner, G, Lockwood, S, Rees, J, Charalabopoulos, A, Campbell, B, Kontovounisios, C, Amarnath, T, Johnson, M, Epanomeritakis, E, Vigs, S, Nastro, P, Gilliam, A, Smolarek, S, Wilson, T, Orbell, J, Mcintyre, R, Agarwal, T, Hainsworth, P, Patel, P, Vijay, J, Liu, B, Dhruva Rao, P, Roxburgh, C, Vipond, M, Youssef, H, Thorn, C, Schizas, A, Denley, S, Bowley, D, Das, K, Cuming, T, Saha, A, Chung, L, Pitt, J, Davis, P, Jones, O, Taylor, M, Bhargava, A, Haji, A, Watson, N, Bloom, I, Singh, B, Norwood, M, Gurjar, S, Stylianides, N, Mirza, S, Evans, M, Williams, G, Patil, P, Hernon, J, Finch, G, Green, S, Chapple, K, Fafemi, O, Warusavitarne, J, Samee, A, Carden, C, Ong, L, Verma, K, Joseph, A, Rawat, N, Pinkney, T, Oke, O, Glen, P, Maxwell‐armstrong, C, Oliphant, R, Garner, J, Moug, Sj, Middleton, S, Lund, Jn, Smart, Nj, Osborn, G, Moore, T, Raymond, T, Hany, Ts, Clarke, R, Khera, G, Brady, R, Sellahewa, C, Mason, C, Torrance, A, Lasithiotakis, K, Knight, J, Pullybank, A, Ainsworth, P, Reid, F, Ramwell, A, Maslekar, S, George, R, Skull, A, Holtham, S, Muhammad, K, Lal, R, Varcada, M, Smith, Fm, Howlader, M, Defriend, D, Kirk, S, Richards, T, Evans, C, Borg, C, Telford, K, Sarfraz, N, Busby, K, Hollingshead, J, Speake, D, Pawa, N, West, D, Chadwick, M, Komolafe, O, Richardson, S, Thornton, M, Goede, A, Osborne, C, Bandyopadhyay, D, Foong, J, Lee, Yj, Liebenberg, P, Mijalkov, D, Wells, A, Bull, N, Ajmera, A, Warburton, T, Morgan, S, Mahmoud, A, Schachtel, M, Mikhail, B, Fomin, I, Mekaeil, B, Taylor, N, Stevenson, C, Drane, A, Pahalawatta, U, Lai, Lt, Debiasio, A, Jun, Hjs, Hengpoonthana, R, Mendis, Dm, Robb, Pm, Lee, Hj, Wyche, Aab, Davis, Lt, Chrimes, A, Agarwal, 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Edwards S., Matthews C., Aitken E., Walker M., Tome M., Patrocinio S., Amado F., Batista A., Seabra J., Praxedes V., Monteiro N., Martins I., Santos T.C., Lages R.R., Pimentel A., Sa T., Bernardes F.M., Saraiva P., Almeida J., Mendes M., Fernandes V., Ribeiro A., Soares D., Rosete M., Martins T., Miguel I., Martins J., Cunha M.F., Melo J., Veiga D.N., Rachadell J., Vareda R., Roseira J., Aveiro D., Couto M., Loureiro A.R., Louro H., Queiros T., Castro B., Fonseca S., Carvalho L., Torre A.P., Amado A., Leite M., Miranda P., Cunha C., Silva R., Pina S., Paixao I., Orelhas L., Santos J., Pacheco A., Rocha A.F., Jervis M.J., Pedro V., Paixao V., Guerreiro A., Melo D., Correia D., Capella V., Moinhos T., Silva M., Silva A.G., Galvao D., Mora A., Bettencourt R., Costa F., Gil I., Morgado J., Monica I., Oliveira S., Ribeiro H., Guimaraes N., Duarte M., Miranda J., Martins S.F., Parreira R., Faustino A., Medeiros N., Castro R., Soares B., Resendes M., Almeida P., Cruz A., Vaz Pinto G., Sousa 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Gadhvi A., Grant R., Lewsey J., Morris A., Martin H., McClarty C., Sanyal S., Alsaif A., Palkhi A., Bhopal S., Vishnu K S., Papanikolaou A., Mitra A., Nur A., Ali F., Burford C., Huq T., Irwin E., Matthews L., Ngu W.S., Hosfield T., Muneeb F., Page O., Zeb E., Al-Azzawi A., McIntosh J., Vucicevic A., Hughes M., Brooks L., Fanibi B., Dixon M., Njoku P., Morris D., Jobson J., Chowdhury H., Alawode D.O.T., Wynell-Mayow W., Udayachandran V., Alsoof D., Ekert J., Joseph N., Zulkefley N., Hunt G., Christodoulou T., Wright O., Soman S., Jamal M., Beqiri S., Borgas P., Christie S., Pereira F., Browne S., Yiu J., Dworkin A., Brayley J., Palmer A., Charalambos M., Jones C.J., Toner S., Cowden R., Lee L., Nicol P., Holman O., Imtiaz M., Albert V., Leung S.P., Erotocritou M., Stroud R., Wilkin R., Thomson W., Mackee L., G N., Bei Y., Mckenna Favier S., Ibrahim A., Kler A., Reynolds L., Mohamed S.H., Majeed Y., Fakim B., Jones A., Liversedge G., Carrington Z., Windebank J., Izzarina A., Akbani U., Craven J., Aldarragi A., Harding S., Millward A., Bedford M., Gopalan V., Midgen A., Khadka P., Cheng O., Taneja S., Manobharath N., Kok J.Y., Lim D.W.E., Buick T., Boland M., Piya S., Devlin R., Fairfield C.J., George R.J., Rahi M., Zaman S., Hajiev S., Ross T., Crisp E., Thompson C., Charalambous A., Hollywood J.L., Hammond R.F.L., Matthews J., Mendonca V., Spinty J., Khan K., Cheng J., Glynn N., Muhammad U., Khan M., Anderson L., Mccormack K., Mak J., Patrawala S., Milinkovic N., Schofield R., Chauhan M., Hartley L., Hind J., Nelson L., Ratnasingham D., Whitehead T., Dimitriadis S., Marshall K., Flint E.J., Horner C., Heybourne A., Morgan H., Wickstone C., Panagiotou D., O'Connell E., Dean K., Iqbal R., Walsh L., Yu N., Rana N., Massie E., Ng J., Jung M., Lee Y.D., Harris M., White S., Boev B., Tonchev P., Prochazka V., Skalicky A., Ravn S., Ojakaar A., Dorr-Harim C., Koutserimpas C., Giraudo G., Armellini A., Ruzzenente A., Mazzeo C., De Padua C., Realis Luc A., Maroli A., Giani I., Cufari M.E., Vitali M., Gusai G.P., Quattromani R., Virgilio E., Berti S., Di Mola F.F., Papagni V., Tuminello F., Vittori L., Longheu A., Loche G.A., Braccio B., De Luca E., Resta G., Ancans G., Tamosiunas A., Petrulionis M., Andrejevic P., Stellingwerf M.E., Abdulrahman N., van de Pas K.G.H., Thomas G., Brandsma A.M., Davids J., Rottier S.J., de Roy van Zuidewijn D., Hawkins R., Ong H.I., Li Y., Desmond B., Winstanley J., Martins M., Americano M., Frade S., Senhorinho R., Peixoto R., Alves-Vale C., Lamas M., O'Connor D.B., Hoo M., Gopaul A., Scanlon K., O'Dwyer N., Jovanovic M., Panyko A., Van Vuuren S., Curchod P., Gaspar S., Imadalou L., Mutlu D., Akyol C., Uygur F.A., Eray I.C., Biyiklioglu O., Cetin M.F., Isik A.E., Karip B., Dogan H., Sarigul L., Tunc E., Aydin T., Bodur S., Karabulut K., Francis A.A., Al-hadithi A., To N., Lau I.S.F., Smith E., Mahapatra S., McAuliffe O., Imam L., Akram B., Hossaini S., Davies R., Ko M., Collins J., Pandya A., Reilly S., Archer J., Auty C., Roche C.D., Livie J., Chaudhry F.A., Ntakomyti E., Diallo R., Bylinski T., Wright J., Masiha E., Tung J., Shirazi B., Neilson A., Epton S., Patel N., Trussell S., Couldrey A., Donnelly C., Eftychiou S., Chapman, S. J., Clerc, D., Blanco-Colino, R., Otto, A., Nepogodiev, D., Pagano, G., Schaeff, V., Soares, A., Zaffaroni, G., Zebrak, R., Hodson, J., Glasbey, J. C., Pata, P., Pellino, G., Sgro, A., van Elst, T., Van Straten, S., Knowles, C. H., Borakati, A., Bath, M. F., Yasin, I. H., Mclean, K., Arthur, T., Kovacevic, M., Delibegovic, S., Karamanliev, M., Swamad, M., Paramasivam, R., Martensen, A., Larsen, H. M., Radeker, L., Frey, P. E., Kechagias, A., Venara, A., Duchalais, E., Ioannidis, A., Pata, F., Pasquali, S., Simioni, A., Farina, V., Podda, M., Lorenzon, L., Jakubauskas, M., van Elst, T. R., Chu, M., Fagan, P. V. B., Wells, C. I., Alagoa Joao, A., Juloski, J., Ciubotaru, C., Popescu, S., Yanishev, A., Lee, S., Ozkan, B. B., Yagiz Sen, A., Aktas, M. K., Baki, B. E., Yuksek, B., Kamarajah, S., Khaw, R. A., Mills, E., Goodson, R., Thakral, N., Ablett, A. D., Adra, M., Kwek, I., Khan, S. M., Quinn, P., Manley, L. R., Badran, A., Ramjeeawon, A., Campbell, A., Tan, H. L., Rye, D. 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L., Marano, L., Fleres, F., Lovisetto, F., Sasia, D., Segalini, E., Pata, G., Lucchi, A., Sagnotta, A., Campagnaro, T., Petrelli, F., Gallo, G., Papandrea, M., Testa, V., Sinibaldi, G., Di Candido, F., Colombo, F., Perrone, G., Aresu, S., Biancafarina, A., Canonico, G., Pagnanelli, M., Curletti, G., Bini, R., de Manzoni Garberini, A., Impellizzeri, H., Cillara, N., Tutino, R., Picciariello, A., Coletta, D., Savino, G., Ferrara, F., Tamini, N., Talamo, G., Parini, D., Giamundo, P., lo Conte, A., Ripetti, V., Pesce, A., Menduni, N., Giudicissi, R., Goldin, E., Rega, D., Belli, A., Andriola, V., Gordini, L., Foppa, C., Piccolo, G., Birindelli, A., Ferrari, C., Ballarini, Z., Tirelli, F., Milone, M., De Rosa, M., Pipitone Federico, N. S., Molteni, B., Tilocca, P. L., Sancini, G., Piozzi, G. N., Lauretta, A., Poillucci, G., Mulas, S., Simcikas, D., Portelli, L., van Wijnbergen, J. W. M., Dinger, T. L., ten Doesschate, S. F. H., van Dalen, A. S. H. M., van den Bos, D. D., Hansmann, M., Medina Feliz, J., Kuiper, S. Z., Abdulrahman, Z., Pruijssers, S. R., Farik, S., Elliott, B. M., Geneta, V. P., Wilton, S., Kandelaki, H., Peng, S. L., Campbell, S., Lim, Y. K., Yassaie, S. S., Murray, M., Haran, C., Tan, J., Castro, J., Laranjeira, A., Catarino, S., Neves-Marques, C., Correia, J. G., Vieira, B. N., Quintela, A. C., Serra, M. L., Maciel, J., Cunha, M., Aparicio, D. J., Neves, J., Azevedo, J., Romano, M., Eiro, F., Romano, J., Monteiro, C., Claro, M., Almeida, M. R., Peyroteo, M., Machado, N. D., Capote, H., Ferreira, M., Sousa, X., Devesa, H., Cavadas, D., Guerreiro, I., Costa, M., Salman, M., English, C., Mohammed, N., Litvin, A., Cuk, V. V., Meszarosova, K., Jaich, R., De Lima, H., Brooks, S., Marx, M., Nshalati Salvation, M., Blaser, B., Piazza, G., Gagliardi, B., Serin, H., Yurdaor, S. S., Arslan, E., Kopac, O., Uyanik, A., Ozmen, B. B., Tiftik, E., Aksoy, B., Yalcinkaya, A., Ozoglu, F., Kocer, M. D., Bilicen, G., Cinar, E. N., Uslu, O., Kaya, Y., Wong, J., Farhan-Alanie, M. M. H., Suresh, G., Asif, A., Finch, B. J., Bhahirathan, Y., Herron, J., Yi Tew, Z., Obukofe, R., Russell, C., Suchett-Kay, I., Netke, T., Williams, L., Kisiel, A., Liu, F. Y., Claireaux, H., James, P., Mondal, A., Kalderon, R., Nadama, H. H., Al-Saraff, Z., Tam, J. P. H., Powell-Chandler, A., Wood, F., Gorgievska, R., Ragavoodoo, A., Thakrar, C., Rojoa, D., Palmer, C., Davidson, K., Giacci, L., Hale, J., Gan, F. W., Makin-Taylor, R., Hey, C. Y., Toh, C., Findlay, J. M., Griffiths, N., Ganesananthan, S., Jasionowska, S., Poustie, M., Wong, C., Turner, T., Pyc, W., Sloper, W., Warner, C., Coey, J., Mason, D., Sait, S., Kowal, M., Owen, M., Saiyed, A., Ashworth, I., Akbari, K., Curran, M., Martin, P., Parker, D., Kwok, K., Lye, C., Ghaly, M., Sammour, T., Lewis, D., Mundasad, R., Wilkes, A., Ctercteko, G., Maslyankov, S., Dimov, R., Iliev, S., Dimitrov, D., Marek, F., Orhalmi, J., Skalicky, P., Skalicky, T., Chrz, K., Christensen, P., Worsoe, J., Kristensen, E. S., Emmertsen, K. J., Loeve, U. S., Mihaljevic, A. L., Herrle, F., Konstantinidis, K. M., Korkolis, D., Karanikas, I., Vincenti, L., Anania, G., Borghi, F., Agresta, F., Maretto, I., Parisi, A., Bucci, L., De Palma, G., Guglielmi, A., Cucinotta, E., La Torre, F., Cianchi, F., Guerrieri, M., Trompetto, M., Persiani, R., Micheletto, G., Cantafio, S., Ronconi, M., Bisagni, P. A. G., De Prizio, M., Franceschi, A., Galleano, R., Cavallini, M., Brescia, A., D'Ambra, L., Benevento, A., Niolu, P., Calgaro, M., Colangelo, E., Grottola, T., Altomare, D. F., Puleo, S., Salamone, G., Pietrabissa, A., Poggioli, G., Erdas, E., Ottonello, R., Tonini, V., Selvaggi, F., Sammarco, G., Ceccarelli, G., De Nisco, C., Surgo, D., Taglietti, L., Ozolins, A., Sivins, A., Poskus, T., Psaila, J., Bemelman, W. A., Graat, L. J., Langenhoff, B., Wijnhoven, B. P. L., van de Ven, A. H. W., Poelman, M., Stassen, L. P. S., Slooter, G., Acherman, Y. I. Z., Hoff, C., Gerhards, M. F., Stommel, M. W. J., Hazebroek, E. J., van Geloven, A. A. W., Schasfoort, R. A., van Leeuwen, B. L., Tuynman, J. B., van Tilburg, M. W. A., Boerma, E. G., Sharma, P., Jenkins, B., Bissett, I. P., Herd, A., Gordon, A., Vernon, D., Omundsen, M., Ly, J., Reddy, A., Bonnet, G., Harmston, C., Morales, M., Francis, A. A., Costa, S., Manso, A., Amorim, E., Pereira, J., Cardoso, J., Ouro, S., Caratao, M., Nascimento, C., Ribeiro da Silva, B., Taranu, V., Dias, R., Mendes, J., Allen, M., Silva, A., Carlos, S., Barbosa, E., Carneiro, C., Ramos, L., Lencastre, L., Martins, R., Silva-Vaz, P., Ridgway, P. F., Mcnamara, D. A., Cahill, R., Hogan, A., Larkin, J., O'Connell, P. R., Negoi, I., Abelevich, A., Cuk, V. M., Vician, M., Ede, C., Sardiwalla, I., Mulira, S., Montwedi, D., Oyomno, M., Hubner, M., Petermann, D., Sauvain, M. O., Ozben, V., Gecim, I. E., Disci, E., Rencuzogullari, A., Kurt, A., Bisgin, T., Pehlivan, M., Isik, A., Onur, E., Leventoglu, S., Haksal, M. C., Erturk, M. S., Keskin, M., Guner, A., Tutcu Sahin, S., Ozbalci, G. S., Pergel, A., Albayrak, D., Bruce, D., Fearnhead, N., Arthur, J., Harron, M., Beattie, G., Titu, L., Saunders, M., Phillips, J., Dindyal, S., Cresswell, B., Gercek, Y., Lee, J., Linn, T., Faulkner, G., Lockwood, S., Rees, J., Charalabopoulos, A., Campbell, B., Kontovounisios, C., Amarnath, T., Johnson, M., Epanomeritakis, E., Vigs, S., Nastro, P., Gilliam, A., Smolarek, S., Wilson, T., Orbell, J., Mcintyre, R., Agarwal, A., Hainsworth, P., Patel, P., Vijay, J., Liu, B., Dhruva Rao, P., Roxburgh, C., Vipond, M., Youssef, H., Thorn, C., Schizas, A., Denley, S., Bowley, D., Das, K., Cuming, T., Saha, A., Chung, L., Pitt, J., Davis, P., Jones, O., Taylor, M., Bhargava, A., Haji, A., Watson, N., Bloom, I., Singh, B., Norwood, M., Gurjar, S., Stylianides, N., Mirza, S., Evans, M., Williams, G., Patil, P., Hernon, J., Finch, G., Green, S., Chapple, K., Fafemi, O., Warusavitarne, J., Samee, A., Carden, C., Ong, L., Verma, K., Joseph, A., Rawat, N., Pinkney, T., Oke, O., Glen, P., Maxwell-Armstrong, C., Oliphant, R., Garner, J., Moug, S. 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T., Dahya, D., Hardie Boys, M., Fleischl, W., Skavysh, A., Mouldey, K., Hu, R., Edwards, S., Matthews, C., Aitken, E., Walker, M., Tome, M., Patrocinio, S., Amado, F., Batista, A., Seabra, J., Praxedes, V., Monteiro, N., Martins, I., Santos, T. C., Lages, R. R., Pimentel, A., Sa, T., Bernardes, F. M., Saraiva, P., Almeida, J., Mendes, M., Fernandes, V., Ribeiro, A., Soares, D., Rosete, M., Martins, T., Miguel, I., Martins, J., Cunha, M. F., Melo, J., Veiga, D. N., Rachadell, J., Vareda, R., Roseira, J., Aveiro, D., Couto, M., Loureiro, A. R., Louro, H., Queiros, T., Castro, B., Fonseca, S., Carvalho, L., Torre, A. P., Amado, A., Leite, M., Miranda, P., Cunha, C., Silva, R., Pina, S., Paixao, I., Orelhas, L., Santos, J., Pacheco, A., Rocha, A. F., Jervis, M. J., Pedro, V., Paixao, V., Guerreiro, A., Melo, D., Correia, D., Capella, V., Moinhos, T., Silva, M., Silva, A. G., Galvao, D., Mora, A., Bettencourt, R., Costa, F., Gil, I., Morgado, J., Monica, I., Oliveira, S., Ribeiro, H., Guimaraes, N., Duarte, M., Miranda, J., Martins, S. F., Parreira, R., Faustino, A., Medeiros, N., Castro, R., Soares, B., Resendes, M., Almeida, P., Cruz, A., Vaz Pinto, G., Sousa, D., Costa Santos, D., Silva, F., Fialho, G., Reia, M., Pratas, N., Costa, C., Costa, J., Morais, S., Machado, A., Horta, V., Rocha-Melo, M., Patricio, J., Pereira, M., Lima, R., Cinza, A. M., Oliveira, J., Velez, C., Borges, F., Simoes, J., Botelho, P., Cismasiu, B., Alves, D., Dias, B., Goncalves, J. P., Valente, P., Freire, L., Saraiva, R., Moreira, M., Fragoso, M., Guimaraes, J., Cruz, G., Ribeiro, J., Borges da Ponte, I., Almeida, S., Martins, A. R., Louro, T., Morgado, M., Ferreira, A. 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H., Kelliher, A., Adeusi, L., Howarth, N., Mccawley, N., O'Neill, A., Jones, M. R., Saleh, R., Singh, A., Senaratne, R., Kakodkar, P., Subramanian, I., Al-Salihi, A., Vyas, V., Vedadi, A., Popescu, S. S., Piras, K., Ciubotaru, C. I., Romanova, E., Ponomarev, N., Savchenko, A., Luzan, R., Lutovinova, E., Gavrilina, A., Barkovskaya, A., Kudelkina, N., Topchubaev, D., Radulovic, R., Milosevic, K., Bojicic, J., Gencic, M., Jankovic, U., Zubowicz, M., Suchan, P. K., Gerstmeier, J., Brazitikou, E., Fytrou, E., Celik, M., Dubovsky, M., Schmalenbeck, J., Sautter, S. C., Ceyran, H., Fitchat, N., Mathebula, S., Chauke, J., Mculu, W., Ngwenya, Z., Withey, K., Piperidis, A., Toyi, Y., Nicolaides, A., Jaffer, T., Sparke, A., Van Staden, N., Mcduling, C. R., Claassen, L., Kruger, C., Weyers, J., Lecler, J., Mignon, G., Vanoni, A., Henkens, A., Jarrar, G., Odovic, M., Willemin, M., Milliet, O., Hahnloser, D., Demartines, N., Teixeira, H., Pittet, O., Haller, M. 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N., Aksoy, H., Basak, A., Erdem, M., Kayacan, S., Sahin, C., Uysal, M., Karakus, K., Altiner, S., Demirci, Z. S., Eren, E., Yavas, M., Aksoy, A. B., Karagoz, E., Sabanci, R., Tumer, S. S., Kargici, K., Banaz, T., Abdulrahman, S. M. F., Yesilsancak, M., Yanikoglu, E., Karabulut, A., Yilmaz, D., Kuyumcu, O. F., Kutluk, F., Emiroglu, B., Mollavelioglu, B., Gereklioglu, D., Guler, M., Toprak, S., Afsar, H. B., Guler, S. E., Alizade, E., Alemdag, G., Ulusahin, M., Gul, E. B., Yildirim, R., Semiz, A., Bektur, G., Tomas, K., Yarenci, E., Demiroglu, Y., Sunal, A., Baykan, B., Abbasguliyev, H., Mutlu, V., Mahmoudi, Y., Dossa, S. A. A., Mizan, S. R., Demirtas, B., Cavus, T., Yuksek, A., Mazlum, S. S., Yelkenci, C., Baran, T., Satilmisoglu, M., Sahin, A. Z., Kilinc, A., Isik, K., Yumurtaci, O., Emin, A., Girit, C., Yildirak, M. K., Senyigit, E., Guldag, A., Soyleyici, B., Aytin, Y. E., Akay, F. E., Iskan, N. G., Mutlu, B., Sunay, A. O., Tie-Gill, T., Ramsay, G., De Paola, L., Mcguckin, S., Alshakhs, A., Ahmeidat, A., Goergen, N., Ali, Z., Mullarkey, L., Walshe, R., Lewis, E., Berry, B., Moneim, J., Mookerjee, S., Christy, S., Ojofeitimi, O., Carroll, L., Hylands, A., Delaugere, L. P., Reveendran, D., Coulter, C., Ralston, C., Laverty, L., Gallagher, P., Ahmed, A., Yeo, Y. Q., Elliott, D., Bennett, J., Mcnamara, M., Sivarajah, S., Dunmore, C., Aitken, G., Nair, M., Aly, M. H., Buari, M., Ahmed, K., Sheikh, Z., Monks, M., Lehmann, J., Rotimi, O., Bell, T., Limnatitou, D., Gormley, S., Taleongpong, P., Patel, V., Macgregor, L., Amini, S., Turner, C., Dwyer-Hemmings, L., Busuttil, A., Powell, J., Hensher, C., Vivian, F., Wcislo, K., Millar, Z., Hirosue, S., Ogunmwonyi, I., Nakakande, D., Gaze, H., Nirmalanantha, A., Bin Amran, A. 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C., Khanan Kaabneh, A., Lawther, J., Fisher, P., Tribedi, T., Moosa, A., Ramdin, A., Goble, M., Downs, E., Wheldon, L., Baggus, E., Mandal, A., Nayeem, A., Ahmed, S., Fradley, W., Wilson, C., Gallagher, S., Criswell, T., Ward, J., Mukkavilli, A., Stubbs, B., Fordyce, W., Suchdev, N., Wei Lim, S., Sookramanien, S. R., Chan, A., Bointas, G., Paul, M., Ward, K. L., Bagnall, M., Pherwani, S. A., Wang, K., Mitchell, L., Heyworth, J., Ayyar, S., Polson, R., Mackenzie, E., Doyle, N., Habib, Z., Zardab, M., Sartaj, F., Farooq, H., Tabibi, M., Drury, D. J., James, S. J., Barnett, R., Teasdale, A. B., Richardson, E. T. J., Thomas, D. A., Williams, R. L., Najabat-Lattif, H. F., Cahya, E., Lou, G., Coyle, M., Homyer, K., Zhu, L. Y., Woods, M., Chang, J., O'Callaghan, H., Suchett-Kaye, I., Mihailidis, T. 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E., Khosla, S., Samake, M., Shaban, F., Aftab, R., Gough, M., Woodburn, B., Vayalapra, S., Mcmurrugh, K., Jimulia, D., Deol, S., Pike, S., Embury-Young, Y., Patel, M., Kilgallon, E., Keating, R., Walsh, A., Khan, H., Logue, G., Orekoya, M., Alasmar, M., Charalambides, M., Clave Llavall, A., Williamson, E., Bharwada, Y., Zearmal, S., Evans, H., Panikkar, M., de la Cruz, G., Caplan, J., Ruparelia, A., Tanvir, T., Soare, C., Pang, Y. L., Trotter, J., Zaidi, A., Thakrar, V., Pulickal, P., Ahmed, H., Parnell, J., Lennock, S., Ford, V., Brignall, R., O'Neill, D., Hanna, R., Kane, R., Nicola, M., Rajput, K., Xiao, Y., Michael, S., Wright, E., Juniper, S., Thompson, E., Hoskyns, L., Kanitkar, A., Ross, C., Unsworth, A., Rshaidat, H., Demarre, K., Chiang, A., Bareh, A., van Dellen, J., Faqihinejad, C., Gadhvi, A., Grant, R., Lewsey, J., Morris, A., Martin, H., Mcclarty, C., Sanyal, S., Alsaif, A., Palkhi, A., Bhopal, S., Vishnu K, S., Papanikolaou, A., Mitra, A., Nur, A., Ali, F., Burford, C., Huq, T., Irwin, E., Matthews, L., Ngu, W. S., Hosfield, T., Muneeb, F., Page, O., Zeb, E., Al-Azzawi, A., Mcintosh, J., Vucicevic, A., Hughes, M., Brooks, L., Fanibi, B., Dixon, M., Njoku, P., Morris, D., Jobson, J., Chowdhury, H., Alawode, D. O. T., Wynell-Mayow, W., Udayachandran, V., Alsoof, D., Ekert, J., Joseph, N., Zulkefley, N., Hunt, G., Wright, O., Soman, S., Jamal, M., Beqiri, S., Borgas, P., Christie, S., Pereira, F., Browne, S., Yiu, J., Dworkin, A., Brayley, J., Palmer, A., Charalambos, M., Jones, C. J., Toner, S., Cowden, R., Lee, L., Nicol, P., Holman, O., Imtiaz, M., Albert, V., Leung, S. P., Erotocritou, M., Stroud, R., Wilkin, R., Thomson, W., Mackee, L., G, N., Bei, Y., Mckenna Favier, S., Ibrahim, A., Kler, A., Reynolds, L., Mohamed, S. H., Majeed, Y., Fakim, B., Jones, A., Liversedge, G., Carrington, Z., Windebank, J., Izzarina, A., Akbani, U., Craven, J., Aldarragi, A., Harding, S., Millward, A., Bedford, M., Gopalan, V., Midgen, A., Khadka, P., Cheng, O., Taneja, S., Manobharath, N., Kok, J. Y., Lim, D. W. E., Buick, T., Boland, M., Piya, S., Devlin, R., Fairfield, C. J., George, R. J., Rahi, M., Zaman, S., Hajiev, S., Ross, T., Crisp, E., Thompson, C., Charalambous, A., Hollywood, J. L., Hammond, R. F. L., Matthews, J., Mendonca, V., Spinty, J., Khan, K., Cheng, J., Glynn, N., Muhammad, U., Khan, M., Anderson, L., Mccormack, K., Mak, J., Patrawala, S., Milinkovic, N., Schofield, R., Chauhan, M., Hartley, L., Hind, J., Nelson, L., Ratnasingham, D., Whitehead, T., Dimitriadis, S., Marshall, K., Flint, E. J., Horner, C., Heybourne, A., Morgan, H., Wickstone, C., Panagiotou, D., O'Connell, E., Dean, K., Iqbal, R., Walsh, L., Yu, N., Rana, N., Massie, E., Ng, J., Jung, M., Lee, Y. D., Harris, M., White, S., Boev, B., Tonchev, P., Prochazka, V., Skalicky, A., Ravn, S., Ojakaar, A., Dorr-Harim, C., Koutserimpas, C., Giraudo, G., Armellini, A., Ruzzenente, A., Mazzeo, C., De Padua, C., Realis Luc, A., Maroli, A., Giani, I., Cufari, M. E., Vitali, M., Gusai, G. P., Quattromani, R., Virgilio, E., Berti, S., Di Mola, F. F., Papagni, V., Tuminello, F., Vittori, L., Longheu, A., Loche, G. A., Braccio, B., De Luca, E., Resta, G., Ancans, G., Tamosiunas, A., Petrulionis, M., Andrejevic, P., Stellingwerf, M. E., Abdulrahman, N., van de Pas, K. G. H., Thomas, G., Brandsma, A. M., Davids, J., Rottier, S. J., de Roy van Zuidewijn, D., Hawkins, R., Ong, H. I., Li, Y., Desmond, B., Winstanley, J., Martins, M., Americano, M., Frade, S., Senhorinho, R., Peixoto, R., Alves-Vale, C., Lamas, M., O'Connor, D. B., Hoo, M., Gopaul, A., Scanlon, K., O'Dwyer, N., Jovanovic, M., Panyko, A., Van Vuuren, S., Curchod, P., Gaspar, S., Imadalou, L., Mutlu, D., Akyol, C., Uygur, F. A., Eray, I. C., Biyiklioglu, O., Cetin, M. F., Isik, A. E., Karip, B., Dogan, H., Sarigul, L., Tunc, E., Aydin, T., Bodur, S., Karabulut, K., Al-hadithi, A., To, N., Lau, I. S. F., Smith, E., Mahapatra, S., Mcauliffe, O., Imam, L., Akram, B., Hossaini, S., Davies, R., Ko, M., Collins, J., Pandya, A., Reilly, S., Archer, J., Auty, C., Roche, C. D., Livie, J., Chaudhry, F. A., Ntakomyti, E., Diallo, R., Bylinski, T., Wright, J., Masiha, E., Tung, J., Shirazi, B., Neilson, A., Epton, S., Patel, N., Trussell, S., Couldrey, A., Donnelly, C., Eftychiou, S., Surgery, AGEM - Digestive immunity, AGEM - Re-generation and cancer of the digestive system, Graduate School, APH - Methodology, ACS - Heart failure & arrhythmias, Eurosurg, Collaborative, Ajmera A., Chapman, Sj, Blanco‐colino, R, Žebrák, R, Glasbey, Jc, Sgrò, A, Elst, T, Knowles, Ch, Bath, Mf, Yasin, Ih, Larsen, Hm, Rädeker, L, Frey, Pe, Elst, Tr, Fagan, Pvb, Wells, Ci, Alagoa João, A, Ozkan, Bb, Yagız Sen, A, Aktas, Mk, Baki, Be, Yüksek, B, Khaw, Ra, Ablett, Ad, Khan, Sm, Manley, Lr, Tan, Hl, Norman, Jg, Baker, Dm, Brandao, Bd, Onafowokan, Oo, Carlton‐carew, S, Shortland, Tc, Brumfitt, Cd, Luong, Jk, Kunčarová, K, Kološová, B, Farkašová, M, Harbjerg, Jl, Kjaer, Md, Mark‐christensen, A, Unbehaun, Kp, Lycke, Kd, Pohl, Lj, Christodoulou, Im, Manatakis, Dk, Aguilera, Ml, Manzoni Garberini, A, Tilocca, Pl, Piozzi, Gn, Wijnbergen, Jwm, Dinger, Tl, Doesschate, Sfh, Dalen, Ashm, Bos, Dd, Kuiper, Sz, Pruijssers, Sr, Elliott, Bm, Geneta, Vp, Peng, Sl, Lim, Yk, Neves‐marques, C, Correia, Jg, Vieira, Bn, Quintela, Ac, Serra, Ml, Aparício, Dj, Eiró, F, Almeida, Mr, Machado, Nd, Ćuk, Vv, Mészárosová, K, Ozmen, Bb, Kocer, Md, Cinar, En, Uslu, Ö, Farhan‐alanie, Mmh, Finch, Bj, Suchett‐kay, I, Liu, Fy, Nadama, Hh, Al‐saraff, Z, Tam, Jph, Powell‐chandler, A, Gorgievska, Rebecca, Gan, Fw, Makin‐taylor, R, Hey, Cy, Findlay, Jm, Örhalmi, J, Skalický, P, Skalický, T, Worsøe, J, Emmertsen, Kj, Mihaljevic, Al, Konstantinidis, Km, Bisagni, Pag, Altomare, Df, Sivinš, A, Bemelman, Wa, Graat, Lj, Wijnhoven, Bpl, Ven, Ahw, Stassen, Lp, Acherman, Yiz, Gerhards, Mf, Stommel, Mwj, Hazebroek, Ej, Geloven, Aaw, Schasfoort, Ra, Leeuwen, Bl, Tuynman, Jb, Tilburg, Mwa, Boerma, Eg, Bissett, Ip, Francisco, V, Ourô, S, Caratão, M, Silva‐vaz, P, Ridgway, Pf, Mcnamara, Da, O'Connell, Pr, Ćuk, Vm, Hübner, M, Sauvain, Mo, Geçim, Ie, Disçi, E, Haksal, Mc, Agarwal, T, Maxwell‐armstrong, C, Moug, Sj, Lund, Jn, Smart, Nj, Smith, Fm, Lee, Yj, Lai, Lt, Jun, Hj, Mendis, Dm, Robb, Pm, Lee, Hj, Wyche, Aab, Davis, Lt, Jayalath, Jmsn, Blefari, Nda, Goh, Yk, Beh, Yz, Dudi‐venkata, Nn, Borrow, Jl, Chua, Th, Tan, Rr, Ng, Sy, Britten‐jones, P, Pham, Hdv, Coulter‐nile, Smcj, Gosselink, Mp, Wang, Yl, Pös, M, Bartoš, M, Malý, O, Hanušová, M, Hurný, M, Riško, J, Treskoň, R, Pospíšil, M, Hlaváčová, L, Tomanová, D, Novický, R, Sobotková, K, šuta Kimle, K, Paclík, A, Jürgens‐lahnstein, J, Kristensen, Fp, Bønnerup, K, Højgaard Pedersen, J, Jepsen, Bn, Hillgaard, Tk, Erichsen, Sb, Nielsen, Cv, Madsen, Cp, Skejø, Cd, Aabling, Rr, Sørensen, J, Schöning, L, Simon, S CS, Thäwel, T, Seckler, Am, Athanasopoulos, Pg, Giuffrida, Mc, Billo, Me, Marrosu, Ag, Ruggiu, Mw, Antona, Ad, Bitonti, Mf, Romano, Fm, Pellicanò, Ga, Murru, Ml, Angelucci, Gp, Tenconi, Sm, Mura, Fa, Ruggiu, Gv, Mura, Ga, Perrone, Ba, Esposito, Lm, Marcianò, M, Aru, Ac, Figà, F, Truškovs, A, Machatschek, Mj, Wiemann, Am, Müller, Nl, Samalavicius, Ne, Poškus, E, Kryžauskas, M, Poškus, T, Looyen, R, Becker, Maj, Molder, L, Tissen, Ym, Vries, H, Smaalen, Tc, Veen, Oc, Dingemans, Sa, Brink, Lc, Vijgen, Ghej, Voort, Emf, Pool, A, Rest, Klc, Sluijpers, Nrf, Molenaar, Cjl, Gordinou de Gouberville, Mc, Mens, Ma, Hoeks, Em, Praag, Em, Smit, Mpcm, Lely, Sj, Stijns, Rch, Leow, Ty, Ruiter, A, Aarts, Cam, Jonge, J, Alqethami, Hj, Elst, Pc, Tissink, Mw, Grüter, A, Voeten, Dm, Boon, Cl, Franssen, Rjm, Jense, Mtf, Lau, Wk, Adams, Sib, Chen, Sy, Kim, Dh, Mclaughlin, Sjp, Chapman, Da, Mcintosh, Nd, Tewhaiti‐smith, J, Yam, St, Tomé, M, Santos, Tc, Lages, Rr, Sá, Tc, Bernardes, Fm, Cunha, Mf, Veiga, Dn, Loureiro, Ar, Torre, Ap, Paixão, I, Rocha, Af, Jervis, Mj, Paixão, V, Silva, Ag, Galvão, D, Mónica, I, Guimarães, N, Martins, Sf, Rocha‐melo, M, Patrício, J, Cinza, Am, Simões, J, Gonçalves, Jp, Guimarães, J, Martins, Ar, Lérias, R, Bártolo, J, Correia, Am, Martins, Pc, Jardim, Jam, Domingos, Sp, Baião, Jm, Lopes, Nmro, Jordão, Dm, Ângelo, Md, Caroço, T, Gomes, Jr, Monteiro, Rg, Colon, Lf, Dockry, É, Aly, Ak, Kang, Sj, Pentony, Ar, Piong, Cl, Eow, Sy, Kamath, Pj, Soh, Tbw, Dyer, Ah, Chee, Sy, Tan, Ixh, Jones, Mr, Al‐salihi, A, Ciubotaru, Ci, Radulović, R, Miloševic, K, Bojičić, J, Genčić, M, Janković, U, Sucháň, Pk, Dubovský, M, Sautter, Sc, Mcduling, Cr, Haller, Ml, Piotet, Lm, Kurtoglu, Gk, Sel, Ek, Isler, Vc, Demirkaya, Hc, Korkmaz, Hk, Pektas, Am, Güner, B, İşlek, Ec, Tombul, Hb, Boztuğ, Cy, Tınaz, A, Yılmaz, M, Akın, Fa, Başçavuş, M, Seker, Mc, Koçak, Zb, Karapinar, Ye, Köseoglu, E, Agca, Mh, Alim, Ye, Kürklü, Ö, Çalar, Sn, Kavar, Rc, Cevlik, Ad, Turk, Eg, Erdönmez, H, Gürsoy, F, Önsal, U, Özbek, M, Kasar, Pa, Özen, D, Ölmez, M, Sariçiçek, T, Tipi, Ou, Benli, Ge, Bilgili, Ac, Kiraz, In, Aksoy, Ab, Karagöz, E, Tümer, S, Abdulrahman, Smf, Kuyumcu, Of, Afsar, Hb, Guler, Se, Gul, Eb, Dossa, Saa, Mizan, Sr, Sahin, Az, Kilinç, A, Yumurtaci, Ö, Girit, Çagri, Yildirak, Mk, Güldag, A, Söyleyici, B, Aytin, Ye, Akay, Fe, Iskan, Ng, Sunay, Ao, Tie‐gill, T, Delaugere, Lp, Yeo, Yq, Aly, Mh, Dwyer‐hemmings, L, Bin Amran, Am, Kyaw, Ha, Clements, Jm, Wong, Hl, Armitage, Mn, Hassan Serry, My, Tam, Lyc, Sookramanien, Sr, Ward, Kl, Pherwani, Sa, Drury, Dj, James, Sj, Teasdale, Ab, Richardson, Etj, Thomas, Da, Williams, Rl, Najabat‐lattif, Hf, Zhu, Ly, Suchett‐kaye, I, Mihailidis, Th, Pedersen, Ac, Robinson, Av, Cheong, Cm, Ike, Si, Chu, Tsm, Mogg, Jaw, Claireaux, Ha, Vaughan‐burleigh, S, Al‐ausi, M, Shah, Sm, Alame, Yj, Owen, Wj, Ahsan, Sd, Anthony‐uzoeto, U, Adam, Ah, Parekh, Jn, Ul‐hasan, S, Martin‐hernandez, Mp, Soh, Yj, Al‐sarraf, Z, Rassool, Sb, Mcmillan, Mja, Ling, Jj, Howard, Eo, Wadsworth, Oj, Meney, Lc, Kang, Ck, Chiu, Jzj, Tan, Qj, Cross, Gwv, Shah, Dr, Ng, Mpe, Wong, Rtw, Rojoa, Dm, Ruddy, Cm, Hall, Jd, Hassane, Asi, Azhar, Aw, Tan, Tk, Kwak, Sy, Ong, Eh, Goolam‐mahomed, Z, Kirnon‐jackman, O, Lim, Qx, Yong, Sq, Chen, Jy, Sam, Zh, Goh, Yn, Muthukumar, Mg, Johnson, Ta, Williams, Ri, Honeyman, Si, Malcolm, Fl, Wilkerson, Ht, Chatterjee‐woolman, S, Ahmed, Wur, Kwan, Kwl, Sanders‐crook, L, Boh, Zy, English, Wj, Novotny, Sa, Chong, Jt, Lee, De, Embury‐young, Y, Clavé Llavall, A, Pang, Yl, Dellen, J, Al‐azzawi, A, Alawode, Dot, Wynell‐mayow, W, Christodoulou, T, Jones, Cj, Leung, Sp, Mohamed, Sh, Kok, Jy, Lim, Dwe, Fairfield, Cj, George, Rj, Hollywood, Jl, Hammond, Rfl, Flint, Ej, Lee, Yd, Skalický, A, Ojakäär, A, Dörr‐harim, C, Cufari, Me, Gusai, Gp, Di Mola, Ff, Loche, Ga, Stellingwerf, Me, Pas, Kgh, Brandsma, Am, Rottier, Sj, Roy van Zuidewijn, D, Ong, Hi, Alves‐vale, C, O'Connor, Db, Jovanović, M, Uygur, Fa, Eray, Ic, Çetin, Mf, Isik, Ae, Sarıgül, L, Francis, Aa, Al‐hadithi, A, Lau, Isf, Roche, Cd, and Chaudhry, Fa
Subjects: Male, renal failure, Time Factors, medicine.medical_treatment, Adult, Aged, Anti-Inflammatory Agents, Non-Steroidal, Elective Surgical Procedures, Female, Humans, Ileus, Kaplan-Meier Estimate, Middle Aged, Patient Safety, Postoperative Care, Postoperative Complications, Proportional Hazards Models, Prospective Studies, Recovery of Function, Treatment Outcome, Colectomy, Proctectomy, Anti-Inflammatory Agents, colorectal surgery, ileus, non-steroidal anti-inflammatory drugs, NSAIDS, 030230 surgery, Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], 0302 clinical medicine, Prospective cohort study, Colorectal, RISK, Hazard ratio, Acute kidney injury, Colorectal surgery, NSAID, 030220 oncology & carcinogenesis, Non-Steroidal, Cohort study, colorectal Surgery, ileus, non-steroidal anti-inflammatory drugs, medicine.medical_specialty, Non‐steroidal anti‐inflammatory drugs. NSAIDs. Postoperative ileus. Colorectal surgery, ACUTE KIDNEY INJURY, anti-inflammatory agents, 03 medical and health sciences, Internal medicine, medicine, Adverse effect, non-steroidal anti-inflammatory drugs - ileus - colorectal surgery, business.industry, medicine.disease, Settore MED/18 - Chirurgia Generale, colorectal cancer, Surgery, business
Abstract: Ileus is common after elective colorectal surgery, and is associated with increased adverse events and prolonged hospital stay. The aim was to assess the role of non-steroidal anti-inflammatory drugs (NSAIDs) for reducing ileus after surgery.A prospective multicentre cohort study was delivered by an international, student- and trainee-led collaborative group. Adult patients undergoing elective colorectal resection between January and April 2018 were included. The primary outcome was time to gastrointestinal recovery, measured using a composite measure of bowel function and tolerance to oral intake. The impact of NSAIDs was explored using Cox regression analyses, including the results of a centre-specific survey of compliance to enhanced recovery principles. Secondary safety outcomes included anastomotic leak rate and acute kidney injury.A total of 4164 patients were included, with a median age of 68 (i.q.r. 57-75) years (54·9 per cent men). Some 1153 (27·7 per cent) received NSAIDs on postoperative days 1-3, of whom 1061 (92·0 per cent) received non-selective cyclo-oxygenase inhibitors. After adjustment for baseline differences, the mean time to gastrointestinal recovery did not differ significantly between patients who received NSAIDs and those who did not (4·6 versus 4·8 days; hazard ratio 1·04, 95 per cent c.i. 0·96 to 1·12; P = 0·360). There were no significant differences in anastomotic leak rate (5·4 versus 4·6 per cent; P = 0·349) or acute kidney injury (14·3 versus 13·8 per cent; P = 0·666) between the groups. Significantly fewer patients receiving NSAIDs required strong opioid analgesia (35·3 versus 56·7 per cent; P 0·001).NSAIDs did not reduce the time for gastrointestinal recovery after colorectal surgery, but they were safe and associated with reduced postoperative opioid requirement.El ileo es frecuente tras cirugía colorrectal electiva y se asocia con un incremento de los eventos adversos y de la duración de la estancia hospitalaria. El objetivo fue evaluar el papel de los fármacos antiinflamatorios no esteroideos (non-steroidal anti-inflammatory drugs, NSAIDs) para reducir el ileo tras la cirugía. MÉTODOS: Estudio de cohortes prospectivo y multicéntrico efecuado por un grupo colaborativo dirigido por estudiantes y cirujanos en formación. Se incluyeron pacientes adultos sometidos a cirugía colorectal electiva entre enero y abril 2018. El resultado primario fue el tiempo hasta la recuperaciòn gastrointestinal, medido por una variable compuesta de función intestinal y tolerancia a la alimentación oral. El impacto de los NSAIDs se exploró utilizando un análisis de regresión de Cox, que incluía los resultados de una encuesta específica dirigida a los centros sobre la adherencia a los principios de la recuperación intensificada. Los resultados secundarios de seguridad incluyeron la dehiscencia anastomótica y la insuficiencia renal aguda.Se incluyeron 4.164 pacientes con una mediana de edad de 68 años (rango intercuartílico: 57-75; 54,9% varones). Un total de 1.153 (27,7%) pacientes fueron tratados con NSAIDs en los días postoperarorios 1-3, de los cuales 1.061 (92,0%) recibieron inhibidores no selectivos de la ciclooxigenasa. Tras los ajustes por las diferencias basales, el tiempo medio hasta la recuperación gastrointestinal no difería significativamente entre pacientes que recibieron o no recibieron NSAIDs (4,6 versus 4,8 días; cociente de riesgos instantáneos, hazard ratio, HR 1,04, i.c. del 95%: 0,96-1,12, P = 0,360). No hubo diferencias significativas en la tasa de dehiscencias anastomóticas (5,4% versus 4,6%; P = 0,349) o insuficiencia renal aguda (14,3% versus 13,8%; P = 0,666) entre los grupos. Sin embargo, significativamente menos pacientes de los que recibieron NSAIDs precisaron una analgesia intensa con opioides (35,3% versus 56,7%; P 0,001). CONCLUSIÓN: La administración de NSAIDs no redujo el tiempo hasta la recuperación gastrointestinal tras cirugía colorrectal, pero fueron seguros y se asociaron con una reducción en la necesidad de opioides postoperarorios.
Published: 2019

9. Field application and validity of a red-tide acoustic sensing system (RASS) for monitoring and alerting of harmful algal blooms (HABs) in Korean coastal waters

Author: Kim, JH, Kim, H, Kang, D, Lim, YK, Ajani, P, Jung, SW, and Baek, SH
Subjects: Marine Biology & Hydrobiology
Abstract: © 2019, Springer Nature B.V. Globally, harmful algal blooms (HABs) caused by marine phytoplankton pose a significant threat to human health and result in enormous economic loss. Many strategies have been implemented for their detection, management, and control. One such instrument is the red-tide acoustic sensing system (RASS) which utilizes a backscattered acoustic signal to detect microalgal cells in the water column, proving to be a cheap and easy tool for the HABs detection. In the current study, five RASSs were deployed at fish farms located in HAB-occurring areas of South Korea during the summer of 2018, and their performance examined for the HABs detection. From 26 July to 6 August 2018, the dinoflagellate Cochlodinium polykrikoides was the most abundant HAB species across all locations. A standard curve between the relative received level (RRL) of acoustic intensity as measured by RASS and cell densities of HAB species was constructed (R2 = 0.846) and was successfully applied to quantify the HAB cell density. The RRL values noticeably increased from July 25, 2018 and decreased from August 1. The RRL values corresponding to warning level of HABs (≥ 100 cells mL−1) were not measured after August 5. The highest 22 RRL was recorded on July 29, which corresponded to 2,782 cells mL−1. To evaluate the efficacy and accuracy of the RASS, a significant correlation (R2 = 0.997) between HAB cell abundance and backscattered acoustic signals was confirmed. Results from our study show that the RASS can produce accurate, real-time bloom data, providing significant advantages for the warning of HABs.
Published: 2019

10. Cervical screening in foreign domestic workers in Singapore

Author: Eng, Julia CL, primary, Er, Joyce BT, additional, Wan, Carrie SY, additional, Lim, YK, additional, Ismail-Pratt, Ida, additional, and Ng, Joseph SY, additional
Published: 2021
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11. EP340 Clinicopathologic review of the gastric-type mucinous adenocarcinomas of the cervix in a tertiary referral centre in Singapore

Author: Kwek, M, primary, Goh, C, additional, Yeo, YC, additional, Lim, YK, additional, and Aggarwal, I, additional
Published: 2019
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12. EP588 Sentinel lymph node mapping with indocyanine green in laparotomy for endometrial cancer

Author: Ng, ZY, primary, Koh, KML, additional, Chin, FHX, additional, Chin, PS, additional, Aggarwal, IM, additional, Wong, WL, additional, and Lim, YK, additional
Published: 2019
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13. EP959 Fertility-sparing surgery in patients with early stage clear cell carcinoma of the ovary – is it safe to offer?

Author: Qi, M, primary, Aggarwal, I, additional, and Lim, YK, additional
Published: 2019
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14. Clear cell adenocarcinoma of the cervix in a ten-year-old girl without prenatal diethylstilbestrol exposure

Author: Andi Asri, AA, primary, Lim, BK, additional, Lim, YK, additional, and A Latiff, L, additional
Published: 2016
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15. Influence of Bone Cement Injected into Vertebra on Proton Range in Radiation Treatment Planning

Author: Lim, YK, Shin, D, Kim, D, Yoon, M, Lee, SB, Park, S, Ahn, SH, Lee, DH, Hwang, YJ, Pyo, HR, Kim, TH, and Moon, SH
Subjects: ddc: 610, 610 Medical sciences, Medicine
Abstract: Purpose: To evaluate the influence of bone cement in the path of proton beam on its range and on dose distribution. Methods and materials: Two computed tomography (CT) data sets were obtained with and without a bone cement disk placed in a water phantom. Treatment planning was performed on a set[for full text, please go to the a.m. URL], PTCOG 48; Meeting of the Particle Therapy Co-Operative Group
Published: 2009
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16. Total laparoscopic Wertheim’s radical hysterectomy versus Wertheim’s radical abdominal hysterectomy in the management of stage I cervical cancer in Singapore: a pilot study

Author: Lim, YK, primary, Chia, YN, additional, and Yam, KL, additional
Published: 2013
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17. Radical abdominal trachelectomy for stage IB1 cervical cancer in Singapore

Author: Lim, YK, primary, Chia, YN, additional, Quek, SC, additional, and Yam, KL, additional
Published: 2013
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18. Simulation of the Indian summer monsoon using comprehensive atmosphere–land interactions, in the absence of two-way air–sea interactions

Author: Lim, YK, primary, Shin, DW, additional, Cocke, S, additional, Kang, SD, additional, and Kim, HD, additional
Published: 2011
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19. SU‐FF‐J‐71: A Prototype Fiducial Marker Composed of Gold Nanoparticles and Bone Cement for Proton Therapy of Prostate Cancers

Author: Lim, YK, primary, Kwak, JW, additional, Kim, DW, additional, Shin, DH, additional, Yoon, MG, additional, Ahn, SH, additional, Park, SA, additional, Lee, DH, additional, Lee, SB, additional, Park, SY, additional, and Kim, DY, additional
Published: 2009
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20. Identification of novel BRCA large genomic rearrangements in Singapore Asian breast and ovarian patients with cancer

Author: Lim, YK, primary, Iau, PTC, additional, Ali, AB, additional, Lee, SC, additional, Wong, JE‐L, additional, Putti, TC, additional, and Sng, J‐H, additional
Published: 2007
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21. Superiority of conventional intensity-modulated radiotherapy over helical tomotherapy in locally advanced non-small cell lung cancer. A comparative plan analysis.

Author: Song C, Pyo H, Kim J, Lim YK, Kim WC, Kim HJ, Kim DW, Cho KH, Song, C, Pyo, H, Kim, J, Lim, Y K, Kim, W C, Kim, H J, Kim, D W, and Cho, K H
Subjects: BIOLOGICAL models, COMPUTER simulation, DOSE-response relationship (Radiation), LUNG cancer, LUNG tumors, COMPUTERS in medicine, RADIATION doses, RADIOTHERAPY, TREATMENT effectiveness
Abstract: Purpose: To compare helical tomotherapy (HT) and conventional intensity-modulated radiotherapy (IMRT) using a variety of dosimetric and radiobiologic indexes in patients with locally advanced non-small cell lung cancer (LA-NSCLC).Patients and Methods: A total of 20 patients with LA-NSCLC were enrolled. IMRT plans with 4-6 coplanar beams and HT plans were generated for each patient. Dose distributions and dosimetric indexes for the tumors and critical structures were computed for both plans and compared.Results: Both modalities created highly conformal plans. They did not differ in the volumes of lung exposed to > 20 Gy of radiation. The average mean lung dose, volume receiving ≥ 30 Gy, and volume receiving ≥ 10 Gy in HT planning were 18.3 Gy, 18.5%, and 57.1%, respectively, compared to 19.4 Gy, 25.4%, and 48.9%, respectively, with IMRT (p = 0.004, p < 0.001, and p < 0.001). The differences between HT and IMRT in lung volume receiving ≥ 10-20 Gy increased significantly as the planning target volume (PTV) increased. For 6 patients who had PTV greater than 700 cm(3), IMRT was superior to HT for 5 patients in terms of lung volume receiving ≥ 5-20 Gy. The integral dose to the entire thorax in HT plans was significantly higher than in IMRT plans.Conclusion: HT gave significantly better control of mean lung dose and volume receiving ≥ 30-40 Gy, whereas IMRT provided better control of the lung volume receiving ≥ 5-15 Gy and the integral dose to entire thorax. In most patients with PTV greater than 700 cm(3), IMRT was superior to HT in terms of lung volume receiving ≥ 5-20 Gy. It is therefore advised that caution should be exercised when planning LA-NSCLC using HT. [ABSTRACT FROM AUTHOR]
Published: 2012

22. Use of a decision aid to help caregivers discuss terminal disease status with a family member with cancer: a randomized controlled trial.

Author: Yun YH, Lee MK, Park S, Lee JL, Park J, Choi YS, Lim YK, Kim SY, Jeong HS, Kang JH, Oh HS, Park JC, Song HS, Ro J, Lee KS, Heo DS, and Hong YS
Published: 2011
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23. Measurement of personal exposure with film badge

Author: Jung, MY, primary and Lim, YK, additional
Published: 1973
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24. The Measurement and Reduction of Distortion in Thick Emulsions

Author: Hopper, VD, primary, Lim, YK, additional, and C Walters, Madeline, additional
Published: 1954
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25. An Unusual Electron Shower

Author: Lim, YK, primary
Published: 1955
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26. Safety of hospital discharge before return of bowel function after elective colorectal surgery

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Akhbari, M, Ali, A, Murray, V, M Baker, D, D Brandao, B, Stainer, B, Thavayogan, R, Jones, D, O Onafowokan, O, Gharooni, A, Dabab, N, Carlton-Carew, S, Kungwengwe, G, Gabriel, M, Sewart, E, C Shortland, T, Lawday, S, Pockney, P, Dawson, A, D Brumfitt, C, Stewart, P, B, Ng, K Luong, J, Ivanov, V, Borisova, A, Neykov, V, Kunčarová, K, Kološová, B, Antonova, T, Farkašová, M, L Harbjerg, J, Brandsborg, S, Brinck, S, D Kjaer, M, Mark-Christensen, A, P Unbehaun, K, Dalsgaard, P, D Lycke, K, Lenaoures, P, Brigand, C, Dumange, E, Gout, M, Moehwald, C, Prem, M, Alhalabi, O, Sliwinski, S, Krupp, J, Gablenz, E, Schmitzer, L, Kopp, A, Steinle, J, Gsenger, J, J Pohl, L, Riccardi, M, M Christodoulou, I, Konstantinidis, M, Machairas, N, Zoikas, A, Balalis, D, K Manatakis, D, L Aguilera, M, Marano, L, Fleres, F, Lovisetto, F, Sasia, D, Segalini, E, Pata, G, Lucchi, A, Sagnotta, A, Campagnaro, T, Petrelli, F, Gallo, G, Papandrea, M, Testa, V, Sinibaldi, G, F Di Candido, Colombo, F, Perrone, G, Aresu, S, Biancafarina, A, Canonico, G, Pagnanelli, M, Curletti, G, Bini, R, A de Manzoni Garberini, Impellizzeri, H, Cillara, N, Tutino, R, Picciariello, A, Coletta, D, Savino, G, Ferrara, F, Tamini, N, Talamo, G, Parini, D, Giamundo, P, A Lo Conte, Pagano, G, Ripetti, V, Pesce, A, Menduni, N, Giudicissi, R, Goldin, E, Rega, D, Belli, A, Andriola, V, Gordini, L, Foppa, C, Piccolo, G, Birindelli, A, Ferrari, C, Ballarini, Z, Tirelli, F, Milone, M, M De Rosa, S Pipitone Federico, N, Molteni, B, L Tilocca, P, Sancini, G, N Piozzi, G, Lauretta, A, Poillucci, G, Mulas, S, Simcikas, D, Portelli, L, Jwm van Wijnbergen, L Dinger, T, Sfh Ten Doesschate, Ashm van Dalen, D van den Bos, D, Hansmann, M, J Medina Feliz, Z Kuiper, S, Abdulrahman, Z, R Pruijssers, S, Farik, S, M Elliott, B, P Geneta, V, Wilton, S, Kandelaki, H, L Peng, S, Campbell, S, K Lim, Y, S Yassaie, S, Murray, M, Haran, C, Tan, J, Castro, J, Laranjeira, A, Catarino, S, Neves-Marques, C, G Correia, J, N Vieira, B, C Quintela, A, L 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L., Mccusker, C., Hlukha, L., Pike, G., Kamel, F., Thakkar, R., Donaldson, C., Campos, M. S., Bradbury, M., Osunronbi, T., Tam, L. Y. C., Kaabneh, A. K., Lawther, J., Fisher, P., Tribedi, T., Moosa, A., Ramdin, A., Goble, M., Downs, E., Wheldon, L., Baggus, E., Mandal, A., Nayeem, A., Ahmed, S., Fradley, W., Wilson, C., Gallagher, S., Criswell, T., Ward, J., Mukkavilli, A., Stubbs, B., Fordyce, W., Suchdev, N., Lim, S. W., Sookramanien, S. R., Chan, A., Bointas, G., Paul, M., Ward, K. L., Bagnall, M., Pherwani, S. A., Wang, K., Mitchell, L., Heyworth, J., Ayyar, S., Polson, R., Mackenzie, E., Doyle, N., Habib, Z., Zardab, M., Sartaj, F., Farooq, H., Tabibi, M., Drury, D. J., James, S. J., Barnett, R., Cahya, E., Lou, G., Coyle, M., Homyer, K., Zhu, L. Y., Woods, M., Chang, J., O'Callaghan, H., Suchett-Kaye, I., Mihailidis, T. H., Alawattegama, H., Seite, E., Barrett, A., Riordan, E., Lam, W., Dowdeswell, M., Mulvenna, C., Awokoya, O., Gurowich, L., Dhera, K., Hayat, S., Tincknell, L., Spazzapan, M., Teeling, F., Sysum, K., Latter, J., Latter, M., Khan, S., Woodmass, M., Hayden, H., Ali, Y., Husain, S., Arnold, A., Pedersen, A. C., Cunha, P., Ahmed, M., Al Zawawi, S., Kudva, V., Theodoropoulou, K., Miscampbell, M., Robinson, A. V., Johnston, J., Dharni, A., Lamb, S., Westerman, T., Evans, E., Campbell, L., Gillespie, M., Cheong, C. M., Kulathevanayagam, K., Varghese, A., Ike, S. I., Chu, T. S. M., Baljer, B., Mogg, J. A. W., Rai, P., Claireaux, H. A., Williams, M., Smillie, R., Goetz, J., Appleby, E., Fadipe, T., Vaughan-Burleigh, S., Jovaisaite, A., Shah, S. M., Khalid, N., Gutmann, D., Davison, S., Alame, Y. J., Syed, L., Owen, W. J., Ahsan, S. D., Anthony-Uzoeto, U., Hall, C. M., Zheng, S., Wynter, K., James, C., Sapre, D., Ghosh, R., Baird, J., Cockburn, L., Blackwood, O., Simpson, W., Jeong, S., Bishop, S., Bate, R., Hobson, C., Adam, A. H., Redclift, C., Do, J., Adeleye, O., Poli, F., Batterham, A., Brown, S., Parekh, J. N., Clay, W., Pieri, K., Jackson, A., Saxena, A., Gurung, B., Oyebola, T., O'Brien, F., Djeugam, B., Gardezi, S., Ul-Hasan, S., Martin-Hernandez, M. P., Sisley, M., Modi, S., Antakia, R., Elbayouk, A., Soh, Y. J., Mather, J., Yusuf, Z., Al-Sarraf, Z., Naja, M., Rassool, S. B., Convill, J., Nikookam, Y., Warsame, A., Pace, C., Kiandee, M., Ridwan, R., Carey, C., Hirri, F., Mcmillan, M. J. A., Ling, J. J., Pendelbury, L., Kerimzade, K., Tang, A., Howard, E. O., Humayun, S., Wadsworth, O. J., Tan, K., Abdelhameed, F., Haglund, C., Radnaeva, I., Hu, N., Rambhatla, S., Waldron, D., Madahar, P., Malik, S., Meney, L. C., Ibrahim, I., Kang, C. K., Chiu, J. Z. J., Livie, V., Ibrahim, B., Khalil, M., Pooley, G., Shishkin, B., Docherty, J., Southgate, A., Coomes, A., Mcgee, F., Flanagan, S., Tan, Q. J., Anwar, H., Clough, R., Chrisp, B., Cassels, J., Cross, G. W. V., Mercer, L., Mercer, C., Refalo, A., Hadley, R., Mctighe, A., Farrow, F., Brodie, A., Davis, G., Shah, D. R., Bowers, C., Patel, S., Morice, O., Burzic, A., Cheung, J., Shashidhara, A., Theodoraki, G., Birk, J., Ong, A., Ng, M. P. E., Wong, R. T. W., Maese, S., Yeap, B., Iqbal, Z., Melaugh, T., Perchard, W., Scurr, T., Campbell, E., Kelk, L., Ghosh, A., Gibbins, A., Mala, D., Loizidou, A., Hall, O., Mecia, L., Hew, C., Varathan, K., Tong, L., Chandrasekar, B., Buchanan, E., O'Connell, M., Kwak, S. Y., Ong, E. H., Gardner, S., Lim, J., Maden, C., Illahi, M., Tan, Z. X., Edwards, S., Stahl, R., Stahl, J., Hickman, A., Collett, D., Goolam-Mahomed, Z., Allen, B., Atiyah, A., Ahmad, H., Jones, J., Mcgregor, O., Ogundiya, E., Boulbadaoui, A., Kirnon-Jackman, O., Lim, Q. X., Peckham, H., Yeoh, T., Yong, S. Q., Chen, J. Y., Siva, S., Sam, Z. H., Gilani, M., Goh, Y. N., Muthukumar, M. G., Phillips, S., Tjoakarfa, J., Giri, A., Suresan, S., Thomas, P., Johnson, T. A., Williams, R. I., Rashid, A., Kushairi, A., Rais, A., James, A., Bugelli, M., Chechelnitskaya, Y., Sandhu, N., Tandon, R., Gray, M., Kumar, A., Ciurleo, C., Nyamali, I., Hiremath, S., Sinha, S., Chowdhary, M., Bradley, E., Mctiernan, M., Macdonald, S., Sharkey, S., Mclaughlin, N., Amey, C., Kraria, L., Skan, O., Kind, C., Tupper, P., Van Rhee, C., Honeyman, S. I., Menon, G., Jegatheeswaran, L., Madhavan, A., Warne, M., Malcolm, F. L., Lessware, T., Wilkerson, H. T., Chatterjee-Woolman, S., Yoong, A., Ahmed, W. U. R., Longshaw, A., Flannery, O., Green, R., Leaning, M., Cragg, J., Sharriff, H., Doherty, C., Kwan, K. W. L., Sanders-Crook, L., Bhatia, S., Eames, S., Lewis, F., Kirupananthan, P., Boh, Z. Y., Dass, S., Soma, A., Newton, A., Hill, M., Shafiq, Y., Brkljac, M., Boyce, L., English, W. J., Lam, S., Chipeta, C., Jain, C., Garofalidou, T., Novotny, S. A., Locke, S., Bowman, C., Begaj, A., Murphy, C., Radcliffe, K., Chong, J. T., Jeffrey, E., Chaudhury, N., Rajendran, K., Akbar, Z., Walters, B., Kulendrarajah, B., Tran, N., Shrestha, S., Parmar, S., Gallagher, C., Hennessy, L., Pentti, E., Badhrinarayanan, S., Fung, A., Mansoor, M., Kenny, R., Kan, P., Lee, D. E., Khosla, S., Samake, M., Shaban, F., Aftab, R., Gough, M., Woodburn, B., Vayalapra, S., Mcmurrugh, K., Jimulia, D., Deol, S., Pike, S., Embury-Young, Y., Patel, M., Kilgallon, E., Keating, R., Walsh, A., Khan, H., Logue, G., Orekoya, M., Alasmar, M., Charalambides, M., Llavall, A. C., Williamson, E., Bharwada, Y., Zearmal, S., Evans, H., Panikkar, M., de la Cruz, G., Caplan, J., Ruparelia, A., Tanvir, T., Soare, C., Pang, Y. L., Trotter, J., Zaidi, A., Thakrar, V., Pulickal, P., Ahmed, H., Parnell, J., Lennock, S., Ford, V., Brignall, R., O'Neill, D., Hanna, R., Kane, R., Nicola, M., Rajput, K., Xiao, Y., Michael, S., Wright, E., Juniper, S., Thompson, E., Hoskyns, L., Kanitkar, A., Ross, C., Unsworth, A., Rshaidat, H., Demarre, K., Chiang, A., Bareh, A., van Dellen, J., Faqihinejad, C., Gadhvi, A., Grant, R., Lewsey, J., Morris, A., Martin, H., Mcclarty, C., Sanyal, S., Alsaif, A., Palkhi, A., Bhopal, S., Burford, C., Huq, T., Irwin, E., Matthews, L., Ngu, W. S., Hosfield, T., Muneeb, F., Page, O., Zeb, E., Al-Azzawi, A., Mcintosh, J., Vucicevic, A., Hughes, M., Brooks, L., Fanibi, B., Dixon, M., Njoku, P., Morris, D., Jobson, J., Chowdhury, H., Joseph, N., Zulkefley, N., Hunt, G., Christodoulou, T., Wright, O., Soman, S., Jamal, M., Beqiri, S., Borgas, P., Christie, S., Pereira, F., Browne, S., Yiu, J., Dworkin, A., Brayley, J., Palmer, A., Charalambos, M., Jones, C. S., Toner, S., Cowden, R., Lee, L., Nicol, P., Holman, O., Imtiaz, M., Albert, V., Leung, S. P., Erotocritou, M., Stroud, R., Wilkin, R., Thomson, W., Mackee, L., Kler, A., Reynolds, L., Mohamed, S. H., Majeed, Y., Fakim, B., Jones, A., Liversedge, G., Carrington, Z., Windebank, J., Izzarina, A., Akbani, U., Craven, J., Aldarragi, A., Harding, S., Millward, A., Bedford, M., Gopalan, V., Midgen, A., Khadka, P., Cheng, O., Taneja, S., Manobharath, N., Kok, J. Y., Lim, D. W. E., Buick, T., Boland, M., Piya, S., Devlin, R., Fairfield, C. J., George, R. J., Rahi, M., Zaman, S., Hajiev, S., Ross, T., Crisp, E., Thompson, C., Charalambous, A., Hollywood, J. L., Hammond, R. F. L., Matthews, J., Mendonca, V., Spinty, J., Khan, K., Cheng, J., Glynn, N., Muhammad, U., Khan, M., Anderson, L., Mccormack, K., Mak, J., Patrawala, S., Milinkovic, N., Schofield, R., Chauhan, M., Hartley, L., Hind, J., Nelson, L., Ratnasingham, D., Whitehead, T., Dimitriadis, S., Marshall, K., Flint, E. J., Horner, C., Heybourne, A., Morgan, H., Wickstone, C., Panagiotou, D., O'Connell, E., Dean, K., Iqbal, R., Walsh, L., Yu, N., Rana, N., Massie, E., Ng, J., Jung, M., Lee, Y. D., Harris, M., White, S., Boev, B., Tonchev, P., Prochazka, V., Risko, J., Skalicky, A., Ravn, S., Ojakaar, A., Dorr-Harim, C., Koutserimpas, C., Giraudo, G., Armellini, A., Ruzzenente, A., Mazzeo, C., De Padua, C., Luc, A. R., Maroli, A., Vitali, M., Gusai, G. P., Quattromani, R., Virgilio, E., Berti, S., Di Mola, F. F., Papagni, V., Tuminello, F., Vittori, L., Longheu, A., Loche, G. A., Braccio, B., De Luca, E., Resta, G., Ancans, G., Tamosiunas, A., Petrulionis, M., Abdulrahman, N., van de Pas, K. G. H., Thomas, G., Brandsma, A. M., Davids, J., Rottier, S. J., de Roy van Zuidewijn, D., Hawkins, R., Ong, H. I., Li, Y., Desmond, B., Winstanley, J., Martins, M., Americano, M., Frade, S., Senhorinho, R., Peixoto, R., Alves-Vale, C., Lamas, M., O'Connor, D. B., Hoo, M., Gopaul, A., Scanlon, K., O'Dwyer, N., Jovanovic, M., Panyko, A., Van Vuuren, S., Centeno, A., Bernado, I. R., Senorans, M. P. G., Amor, L. G., Ramirez, A. C., Abrisqueta, J., Gomez, M. E., Arroyo, A., Cerdan, C., Romeu, N. G., Enriquez-Navascues, J. M., Collado-Roura, F., Curchod, P., Gaspar, S., Imadalou, L., Mutlu, D., Akyol, C., Uygur, F. A., Eray, I. C., Biyiklioglu, O., Cetin, M. F., Isik, A. E., Karip, B., Dogan, H., Sarigul, L., Tunc, E., Aydin, T., Bodur, S., Karabulut, K., Francis, A. A., Al-hadithi, A., Lau, I. S. F., Smith, E., Mahapatra, S., Mcauliffe, O., Imam, L., Akram, B., Hossaini, S., Davies, R., Ko, M., Collins, J., Pandya, A., Reilly, S., Archer, J., Livie, J., Chaudhry, F. A., Ntakomyti, E., Diallo, R., Bylinski, T., Wright, J., Masiha, E., Tung, J., Shirazi, B., Neilson, A., Epton, S., Patel, N., Trussell, S., Couldrey, A., and Donnelly, C.
Subjects: operative, Male, postoperative discharge, Postoperative Complications, 0302 clinical medicine, Colostomy, CRITERIA, Prospective Studies, Bowel function, Colectomy, IMAGINE, stoma, intestines, Proctectomy, Ileostomy, digestive, oral, and skin physiology, patient discharge, colorectal surgery, hospital discharge, bowel function, RECOVERY, Middle Aged, adult, colostomy, elective surgical procedures, female, follow-up studies, humans, ileostomy, ileus, male, middle aged, multivariate analysis, patient readmission, patient safety, postoperative complications, prospective studies, recovery of function, colectomy, proctectomy, Patient Discharge, Colorectal surgery, ileus - - discharge - bowel function - elective - colorectal surgery, Elective Surgical Procedures, 030220 oncology & carcinogenesis, Female, 030211 gastroenterology & hepatology, Patient Safety, Cohort study, safety, Adult, medicine.medical_specialty, Ileus, Patient Readmission, defecation, 03 medical and health sciences, medicine, Hospital discharge, Humans, colorectal surgery, colorectal resection, Colorectal resection, defecation, postoperative complications, colorectal surgery, intestines, patient discharge, patient readmission, safety, surgical procedures, operative, colorectal resection, ileus, business.industry, Recovery of Function, Odds ratio, medicine.disease, digestive system diseases, surgical procedures, Surgery, Multivariate Analysis, Defecation, business, Follow-Up Studies
Abstract: Ileus is common after colorectal surgery and is associated with an increased risk of postoperative complications. Identifying features of normal bowel recovery and the appropriateness for hospital discharge is challenging. This study explored the safety of hospital discharge before the return of bowel function.A prospective, multicentre cohort study was undertaken across an international collaborative network. Adult patients undergoing elective colorectal resection between January and April 2018 were included. The main outcome of interest was readmission to hospital within 30 days of surgery. The impact of discharge timing according to the return of bowel function was explored using multivariable regression analysis. Other outcomes were postoperative complications within 30 days of surgery, measured using the Clavien-Dindo classification system.A total of 3288 patients were included in the analysis, of whom 301 (9·2 per cent) were discharged before the return of bowel function. The median duration of hospital stay for patients discharged before and after return of bowel function was 5 (i.q.r. 4-7) and 7 (6-8) days respectively (P 0·001). There were no significant differences in rates of readmission between these groups (6·6 versus 8·0 per cent; P = 0·499), and this remained the case after multivariable adjustment for baseline differences (odds ratio 0·90, 95 per cent c.i. 0·55 to 1·46; P = 0·659). Rates of postoperative complications were also similar in those discharged before versus after return of bowel function (minor: 34·7 versus 39·5 per cent; major 3·3 versus 3·4 per cent; P = 0·110).Discharge before return of bowel function after elective colorectal surgery appears to be safe in appropriately selected patients.El íleo es frecuente tras la cirugía colorrectal y se asocia con un aumento del riesgo de las complicaciones postoperatorias. Identificar las características de una recuperación normal del tránsito y la idoneidad para el alta hospitalaria es una tarea difícil. Este estudio examinó la seguridad del alta hospitalaria antes del restablecimiento de la función intestinal. MÉTODOS: Se llevó a cabo un estudio de cohortes prospectivo y multicéntrico a través de una red de colaboración internacional. Se incluyeron pacientes adultos sometidos a resección electiva colorrectal entre enero y abril 2018. El objetivo principal fue el reingreso hospitalario durante los 30 primeros días tras la intervención. Se utilizó un análisis de regresión multivariable para evaluar el impacto del momento del alta en función del restablecimiento de la función intestinal. El objetivo secundario fue las complicaciones postoperatorias en los primeros 30 días después de la cirugía, valoradas mediante el sistema de clasificación de Clavien-Dindo.Se incluyeron en el análisis 3.288 pacientes, de los cuales 301 (9,2%) fueron dados de alta antes del restablecimiento de la función intestinal. La mediana de la estancia hospitalaria de los pacientes dados de alta antes y después del restablecimiento de la función intestinal fue 5 (rango intercuartílico: 4-7) y 7 (6-8) días, respectivamente (P 0,001). No hubo diferencias significativas en las tasas de reingreso entre estos grupos (6,6% versus 8,0%; P = 0,499), y este resultado se mantuvo en el análisis multivariable tras el ajuste por diferencias basales (razón de opotunidades, odds ratio, OR 0,90; i.c. del 95% 0,55-1,46, P = 0,659). Las tasas de complicaciones postoperarorias fueron similares en aquellos dados de alta antes o después del restablecimiento de la función intestinal (complicaciones menores: 34,7% versus 39,5%; complicaciones mayores 3,3% versus 3,4%; P = 0,110). CONCLUSIÓN: Dar de alta antes del restablecimiento de la función intestinal tras cirugía colorrectal electiva parece ser seguro en pacientes debidamente seleccionados.
Published: 2020

27. Performance Evaluation of the LabGenius C-CT/NG-BMX Assay for Chlamydia trachomatis and Neisseria gonorrhoeae Detection.

Author: Lim YK, Kweon OJ, Park AJ, Kim H, Yoon S, Kim TH, and Lee MK
Abstract: The LabGenius C-CT/NG-BMX assay (LabGenius CT/NG; BIOMEDUX, Gyeonggi, Republic of Korea) is a recently developed real-time PCR assay that can simultaneously detect the sexually transmitted pathogens Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) in genitourinary specimens. We evaluated the analytical performance of this assay in comparison with BD MAX CT/GC/TV (Becton Dickinson, Franklin Lakes, NJ, USA). The results of both assays were in nearly perfect agreement for the detection of CT and NG. LabGenius CT/NG demonstrated acceptable analytical performance, comparable with that of another commercially available kit, and provides a cost-effective option for detecting sexually transmitted pathogens in routine and follow-up testing.
Published: 2024
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28. Salivary microbiota reflecting changes in subgingival microbiota.

Author: Jung J-S, Kook J-K, Park S-N, Lim YK, Choi GH, Kim S, and Ji S
Subjects: Humans, Female, Male, Adult, Middle Aged, Dental Plaque microbiology, Gingivitis microbiology, Gingiva microbiology, Saliva microbiology, Microbiota, RNA, Ribosomal, 16S genetics, Periodontitis microbiology, Periodontitis therapy, Bacteria classification, Bacteria isolation & purification, Bacteria genetics
Abstract: The purpose of this study was to determine whether subgingival microbial changes according to the severity of periodontal disease and following the non-surgical periodontal treatment of periodontitis are reflected in the saliva microbiota. Subgingival and saliva samples were collected from 7 periodontally healthy controls, 14 patients with gingivitis, 12 with moderate periodontitis, and 18 with severe periodontitis. Among subjects who received treatment, seven moderate and seven severe periodontitis patients were selected for post-treatment microbial analysis, and their samples were analyzed at baseline and 6 months after treatment. The V3 and V4 regions of the 16S rRNA gene were sequenced, and correlations of the relative abundance of phyla and health- or periodontitis-dominant species between subgingival plaque and saliva samples were analyzed using Spearman signed-rank tests. Alpha diversity was higher in saliva than subgingival plaque samples, and beta diversity was significantly different between the two samples. However, levels of phyla and most health- or periodontitis-dominant species in salivary microbiota were significantly correlated with those in subgingival plaque. The improvement in clinical parameters following treatment was accompanied by a microbial shift not only in subgingival plaque but also in saliva. The abundance of 2 phyla including Bacteroidetes, 6 genera including Porphyromonas and Treponema , and 11 species including Porphyromonas gingivalis , Tannerella forsythia , and Filifactor alocis was significantly reduced in saliva following treatment. These results indicate that the salivary microbiota can reflect changes in the subgingival microbiota, suggesting that saliva can be used as a diagnostic tool to monitor the periodontal health status of individuals., Importance: The salivary microbiota has attracted increasing attention as a promising method for monitoring periodontal disease. With regard to the pathogenesis of periodontal disease, however, subgingival plaque microbiota is the dominant etiological factor. Although it has been established that periodontopathogenic bacteria exist in saliva and their distribution differs, depending on the severity of the disease, it is necessary to analyze the extent to which the salivary microbiota reflects the subgingival microbiota. This study explored whether subgingival microbial changes according to the severity of periodontal disease and following the non-surgical periodontal treatment of periodontitis are reflected in the saliva microbiota and concluded that the salivary microbiota can reflect changes in the subgingival microbiota. Saliva can be used as a diagnostic tool to monitor the periodontal health status of individuals., Competing Interests: The authors declare no conflict of interest.
Published: 2024
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29. Surgical intervention for distal radial fractures with concurrent ulnar styloid fractures may be beneficial for the elderly patients: a retrospective study.

Author: Lim YK, Wu WT, Peng CH, Yao TK, Chang CM, Chen HW, Yu TC, Chen IH, Wang JH, Chang YC, and Yeh KT
Subjects: Humans, Retrospective Studies, Female, Male, Aged, 80 and over, Treatment Outcome, Fracture Fixation, Internal methods, Open Fracture Reduction methods, Wrist Joint surgery, Wrist Joint physiopathology, Conservative Treatment methods, Radius Fractures surgery, Ulna Fractures surgery, Ulna Fractures complications, Ulna Fractures diagnostic imaging
Abstract: Background: Distal radius fractures are highly prevalent among older adults. Ulnar styloid fractures frequently accompany distal radius fractures, raising concerns about treatment outcomes due to the risk of distal radioulnar joint (DRUJ) instability. This study investigated the necessity of surgical intervention (open reduction internal fixation; ORIF) for distal radius fractures in very old patients with coexisting ulnar styloid fractures., Materials and Methods: A retrospective analysis of 96 patients aged ≥ 80 years with AO classification 23-A2 to 23-B3 distal radius fractures with concomitant ulnar styloid fracture between 2019 and 2022 was performed. Patients were excluded if they were aged < 80 years, had a preinjury Barthel index of < 90, or had high-energy multiple trauma. The primary outcome was the Disabilities of the Arm, Shoulder, and Hand (DASH) score assessed at 3, 6, and 12 months. We compared the DASH score and their trajectories between the ORIF and conservative treatment groups., Results: ORIF group demonstrated significantly better DASH functional scores (25.31 ± 4.71) at the 12-month follow-up compared with the conservative group (34.42 ± 8.03; p < 0.001). Treatment choice was identified as a significant predictor of DASH scores at 12 months, with ORIF significantly improved patient's wrist function and demonstrated a β coefficient of - 9.11 (95% confidence interval: -11.95 to - 6.27, p < 0.001). The other factors investigated, namely age, lowest T-score, and medical history of diabetes mellitus, hypertension, coronary artery disease, cerebrovascular accidents, cancer, and dementia, did not exhibit a significant association with the 12-month DASH scores in the adjusted model (p > 0.05)., Conclusions: Our findings suggest that very old patients with distal radius fracture accompanied by ulnar styloid fractures may benefit from ORIF to achieve optimal long-term functional recovery., (© 2024. The Author(s).)
Published: 2024
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30. Microplastic ingestion induces energy loss on the copepod Tigriopus koreanus.

Author: Park JG, Kang HM, Park Y, Hwang JW, Baek SH, Lim YK, and Lee KW
Subjects: Animals, Adenosine Triphosphate metabolism, Swimming, Eating drug effects, Copepoda drug effects, Water Pollutants, Chemical toxicity, Microplastics toxicity, Energy Metabolism drug effects
Abstract: In marine environments, exposure to microplastics threaten various organisms. A large portion of MPs may be bioavailable to copepods, and ingesting MPs has been reported to induce various adverse effects, including increased mortality, developmental retardation, and decreased reproduction. Adverse effects of MPs on these important processes of copepods may be induced by the obstructive effects of the ingested MPs on energy acquisition. However, few studies have explored the biological effects of MPs on copepods in terms of energy budgets. Therefore, we analyzed ATP (adenosine triphosphate) levels, enzyme activities, swimming distances, and excretion rates in marine copepods (Tigriopus koreanus) that have ingested polystyrene microplastics. Our results indicate that the ingestion of MPs may prevent adequate acquisition of nourishment and lead the copepods into a vicious circle in the respect to energetic burden. Our study provides biochemical evidence for a reduction in the energy budget of copepods due to MPs ingestion. Further, this study increases our understanding of the risks of microplastics, by providing advanced evidences of their effects on marine primary consumer., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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31. Temporal changes in microalgal biomass and species composition on different plastic polymers in nutrient-enriched microcosm experiments.

Author: Baek SH, Lee CH, Park JS, Yoon JN, and Lim YK
Subjects: Harmful Algal Bloom, Water Pollutants, Chemical analysis, Nutrients analysis, Environmental Monitoring, Ecosystem, Microalgae, Biomass, Plastics analysis
Abstract: Marine plastic debris (MPD) is a potential threat to marine ecosystems, but its function as a vector for the transportation of harmful microalgae and its impact on the habitats of other marine organisms are uncertain. To address this gap in knowledge, we performed month-long experiments in 30 L microcosms that contained plates made of six different plastic polymers (polypropylene [PP], low-density polyethylene [LDPE], high-density polyethylene [HDPE], polyvinyl chloride [PVC], polyethylene terephthalate [PET], and polystyrene [PS]), and examined the time course of changes in planktonic and periphytic microalgae. There were no significant differences in the composition of periphytic microalgae or biomass among the different plastic polymers (p > 0.05). Nutrient depletion decreased the abundance of planktonic microalgae, but increased the biomass of attached periphytic microalgae (p < 0.05). In particular, analysis of the plastic plates showed that the abundance of benthic species that are responsible for harmful algal blooms (HABs), such as Amphidinium operculatum and Coolia monotis, significantly increased over time (days 21-28; p < 0.05). Our findings demonstrated that periphyton species, including benthic microalgae that cause HABs, can easily attach to different types of plastic and potentially spread to different regions and negatively impact these ecosystems. These observations have important implications for understanding the potential role of MPD in the spread of microalgae, including HABs, which pose a significant threat to marine ecosystems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)
Published: 2024
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32. First investigation of the temporal distribution of neurotoxin β-N-methylamino-L-alanine (BMAA) and the candidate causative microalgae along the South Sea Coast of Korea.

Author: Kim SY, Kim M, Lim YK, Baek SH, Kim JY, An KG, and Hong S
Subjects: Republic of Korea, Animals, Environmental Monitoring, Aminobutyrates analysis, Glycine analogs & derivatives, Glycine analysis, Diatoms metabolism, Seasons, Tandem Mass Spectrometry, Water Pollutants, Chemical analysis, Water Pollutants, Chemical metabolism, Amino Acids, Diamino analysis, Cyanobacteria Toxins, Phytoplankton metabolism, Microalgae metabolism, Microalgae chemistry, Bivalvia metabolism, Bivalvia chemistry, Neurotoxins analysis
Abstract: The neurotoxin β-N-methylamino-L-alanine (BMAA), produced by cyanobacteria and diatoms, has been implicated as an environmental risk factor for neurodegenerative diseases. This study first investigated the occurrence and monthly distributions of BMAA and its isomers, 2,4-diaminobutyric acid (DAB) and N-2-aminoethylglycine (AEG), in phytoplankton and mussels from 11 sites along the South Sea Coast of Korea throughout 2021. These toxins were quantified using LC-MS/MS, revealing elevated BMAA concentrations from late autumn to spring, with phase lags observed between phytoplankton and mussels. The highest concentration of BMAA in phytoplankton was detected in November (mean: 1490 ng g -1 dry weight (dw)), while in mussels, it peaked in December (mean: 1240 ng g -1 dw). DAB was detected in phytoplankton but was absent in mussels, indicating limited bioaccumulation potential. In February, the peak mean DAB concentration in phytoplankton was 89 ng g -1 dw. AEG was not detected in any samples. Chlorophyll-a concentrations consistently showed an inverse correlation with BMAA concentrations in mussels throughout the year. Through correlation analysis, four diatom genera, Bacillaria, Hemiaulus, Odontella, and Pleurosigma, were identified as potential causative microalgae of BMAA. This study offers insights into identifying the causative microalgae for BMAA and informs future regulatory efforts regarding unmanaged biotoxins., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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33. Nationwide seasonal monitoring of lipophilic marine algal toxins in shellfish and causative microalgae along the coasts of South Korea.

Author: Kim M, Kim SY, Lim YK, Baek SH, and Hong S
Subjects: Republic of Korea, Animals, Bivalvia, Dinoflagellida, Marine Toxins analysis, Microalgae, Environmental Monitoring, Seasons, Shellfish, Phytoplankton
Abstract: In this study, lipophilic marine algal toxins (LMATs)-producing microalgae were identified at 23 sites along the coasts of Korea, and distribution characteristics of LMATs in phytoplankton and mussels were investigated. The causative microalgae, including Gonyaulux spinifera, Dinophysis acuminata, D. caudata, and D. fortii, were observed in the study area, with notably higher densities during the summer. Significant correlations were found between the densities of these microalgae and the water temperature. Seasonal distribution patterns of LMATs in phytoplankton closely matched those observed in mussels. Notably, LMAT concentrations in mussels from the Yellow Sea were relatively high. PTX2 was detected predominantly in phytoplankton, and homo-yessotoxin was found mainly in mussels. Overall, LMAT concentrations were elevated in the summer, raising concerns about biotoxin contamination in shellfish. These results provide important insights into the dynamics of unmanaged marine biotoxins in Korea and offer baseline data for future safety management policies and inflow surveillance., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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34. Feasibility study for the development of multilayered solar cells for proton linear energy transfer depth profile measurement.

Author: Jeong S, Kim CE, Kim C, Pak SI, An S, Cheon W, Shin D, Lim YK, Jeong JH, Kim H, Chung Y, Choi SH, and Lee SB
Subjects: Solar Energy, Monte Carlo Method, Protons, Feasibility Studies, Linear Energy Transfer, Proton Therapy, Radiometry instrumentation, Radiometry methods
Abstract: Background: Previous study proposed a method to measure linear energy transfer (LET) at specific points using the quenching magnitude of thin film solar cells. This study was conducted to propose a more advanced method for measuring the LET distribution., Purpose: This study focuses on evaluating the feasibility of estimating the proton LET distribution in proton therapy. The feasibility of measuring the proton LET and dose distribution simultaneously using a single-channel configuration comprising two solar cells with distinct quenching constants is investigated with the objective of paving the way for enhanced proton therapy dosimetry., Methods: Two solar cells with different quenching constants were used to estimate the proton LET distribution. Detector characteristics (e.g., dose linearity and dose-rate dependency) of the solar cells were evaluated to assess their suitability for dosimetry applications. First, using a reference beam condition, the quenching constants of the two solar cells were determined according to the modified Birks equation. The signal ratios of the two solar cells were then evaluated according to proton LET in relation to the estimated quenching constants. The proton LET distributions of six test beams were obtained by measuring the signal ratios of the two solar cells at each depth, and the ratios were evaluated by comparing them with those calculated by Monte Carlo simulation., Results: The detector characterization of the two solar cells including dose linearity and dose-rate dependence affirmed their suitability for use in dosimetry applications. The maximum difference between the LET measured using the two solar cells and that calculated by Monte Carlo simulation was 2.34 keV/µm. In the case of the dose distribution measured using the method proposed in this study, the maximum difference between range measured using the proposed method and that measured using a multilayered ionization chamber was 0.7 mm. The expected accuracy of simultaneous LET and dose distribution measurement using the method proposed in this study were estimated to be 3.82%. The signal ratios of the two solar cells, which are related to quenching constants, demonstrated the feasibility of measuring LET and dose distribution simultaneously., Conclusion: The feasibility of measuring proton LET and dose distribution simultaneously using two solar cells with different quenching constants was demonstrated. Although the method proposed in this study was evaluated using a single channel by varying the measuring depth, the results suggest that the proton LET and dose distribution can be simultaneously measured if the detector is configured in a multichannel form. We believe that the results presented in this study provide the envisioned transition to a multichannel configuration, with the promise of substantially advancing proton therapy's accuracy and efficacy in cancer treatment., (© 2024 American Association of Physicists in Medicine.)
Published: 2024
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35. Glutathione-S-Transferase Theta 2 (GSTT2) Modulates the Response to Bacillus Calmette-Guérin Immunotherapy in Bladder Cancer Patients.

Author: Rahmat JN, Tham SM, Ong TL, Lim YK, Patwardhan MV, Nee Mani LR, Kamaraj R, Chan YH, Chong TW, Chiong E, Esuvaranathan K, and Mahendran R
Subjects: Humans, Animals, Mice, Female, Male, Aged, Middle Aged, Polymorphism, Single Nucleotide, Cell Line, Tumor, Dendritic Cells immunology, Dendritic Cells metabolism, Mice, Knockout, Mycobacterium bovis, Urinary Bladder Neoplasms genetics, Urinary Bladder Neoplasms therapy, Urinary Bladder Neoplasms drug therapy, Urinary Bladder Neoplasms immunology, Glutathione Transferase genetics, Glutathione Transferase metabolism, BCG Vaccine therapeutic use, Immunotherapy methods
Abstract: Glutathione-S-transferases (GST) enzymes detoxify xenobiotics and are implicated in response to anticancer therapy. This study evaluated the association of GST theta 1 (GSTT1), GSTT2, and GSTT2B with Mycobacterium bovis Bacillus Calmette-Guérin (BCG) response in non-muscle-invasive bladder cancer treatment. In vitro assessments of GSTT2 knockout (KO) effects were performed using cell lines and dendritic cells (DCs) from GSTT2KO mice. Deletion of GSTT2B, GSTT1, and single-nucleotide polymorphisms in the promoter region of GSTT2 was analysed in patients ( n = 205) and healthy controls ( n = 150). Silencing GSTT2 expression in MGH cells (GSTT2B FL/FL ) resulted in increased BCG survival ( p < 0.05) and decreased cellular reactive oxygen species. In our population, there are 24.2% with GSTT2B Del/Del and 24.5% with GSTT2B FL/FL . With ≤ 8 instillations of BCG therapy ( n = 51), 12.5% of GSTT2B Del/Del and 53.8% of GSTT2B FL/FL patients had a recurrence ( p = 0.041). With ≥9 instillations ( n = 153), the disease recurred in 45.5% of GSTT2B Del/Del and 50% of GSTT2B FL/FL . GSTT2 FL/FL patients had an increased likelihood of recurrence post-BCG therapy (HR 5.5 [1.87-16.69] p < 0.002). DCs from GSTT2KO mice produced three-fold more IL6 than wild-type DCs, indicating a robust inflammatory response. To summarise, GSTT2B Del/Del patients respond better to less BCG therapy and could be candidates for a reduced surveillance regimen.
Published: 2024
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36. Performance evaluation of microfluidic microplate-based fluorescent ELISA for qualitative detection of SARS-CoV-2-specific IgG and IgM.

Author: Kweon OJ, Yoon S, Choe KW, Kim H, Lim YK, and Lee MK
Subjects: Humans, Sensitivity and Specificity, Microfluidics methods, Microfluidics instrumentation, Middle Aged, Female, Male, Aged, Immunoglobulin M blood, Immunoglobulin M immunology, Immunoglobulin G blood, SARS-CoV-2 immunology, SARS-CoV-2 isolation & purification, Antibodies, Viral blood, Antibodies, Viral immunology, COVID-19 diagnosis, COVID-19 blood, Enzyme-Linked Immunosorbent Assay methods, COVID-19 Serological Testing methods
Abstract: We evaluated the diagnostic performance of newly developed microfluidic microplate-based fluorescent ELISA for anti-SARS-CoV-2 antibody detection: the Veri-Q opti COVID-19 IgG and IgM ELISAs (hereafter, "Opti IgG/M"; MiCo BioMed, Gyeonggi-do, Republic of Korea), in comparison with conventional ELISAs. A total of 270 serum samples were analyzed, among which 90 samples were serially obtained from 25 COVID-19 patients. Another 180 samples were collected from 180 SARS-CoV-2-negative individuals. As comparative assays, we used SCoV-2 Detect IgG/M ELISA (hereafter, "InBios IgG/M"; InBios, Seattle, WA, USA) and Veri-Q COVID-19 IgG/IgM ELISA (hereafter, "Veri-Q IgG/M"; MiCo BioMed). Compared with conventional ELISAs, the Opti IgG yielded 97.1-100.0% positive percent agreement, 95.2-98.0% negative percent agreement, 96.3-97.8% total percent agreement, and kappa values of 0.90-0.94. Between the Opti IgM and the InBios IgM, the values were 93.7%, 96.6%, 95.9%, and 0.89, respectively. For the Opti IgG, sensitivities for the samples collected from 0-7, 8-14, 15-21, and ≥ 22 days after symptom onset were 40.0, 58.3, 94.1, and 100.0%, respectively. The values for the Opti IgM were 30.0, 54.2, 88.2, and 80%, respectively. The diagnostic specificities of the Opti IgG and IgM were 99.4 and 97.2%, respectively. The microfluidic microplate-based fluorescent ELISAs showed comparable diagnostic performance to conventional ELISAs for detecting anti-SARS-CoV-2 antibodies. With the combination of high throughput, a simplified workflow, and the ability to analyze reduced volumes, this new technology has great potential for improving SARS-CoV-2 serologic testing., (© 2024. The Author(s).)
Published: 2024
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37. Impact of concomitant methotrexate on disease activity in patients with rheumatoid arthritis tapering abatacept: results from KOBIO registry.

Author: Park JW, Kim JY, Kim MJ, Lim YK, Kim HA, Kim JH, and Shin K
Abstract: Objectives: Tapering biologic agents can be considered for patients with stable disease activity in rheumatoid arthritis (RA). However, the specific strategy for abatacept is uncertain. This study aimed to examine the impact of tapering abatacept on disease activity in RA patients and assess the potential influence of concomitant methotrexate (MTX) treatment., Methods: Using data from the KOBIO registry, we included 505 1 year intervals from 176 patients with RA that initiated abatacept with concomitant MTX at baseline. The intervals were divided into two groups based on the dose quotient (DQ) of abatacept during each period (i.e., the tapering group (DQ < 1) and control group (DQ = 1)). The primary outcome was achieving DAS28-remission at 1 year intervals. Marginal structural models (MSM) were used to minimize confounding caused by an imbalance in time-varying variables., Results: Abatacept was tapered at 146 (28.9%) intervals, and the mean DQ was 0.68. DAS28-remission was achieved in 207 (41.8%) intervals. Tapering abatacept did not affect the odds of achieving DAS28-remission compared with the control group (OR 1.04 [0.67-1.62]). The odds remained unaffected in the subgroup that continued MTX (OR 1.42 [0.88-2.30]) but not in the subgroup that discontinued MTX (OR 0.26 [0.10-0.57]). The effects of interaction between tapering abatacept and concomitant MTX use on DAS28 and patient's functional status showed consistent results. The incidence of adverse events within a 1 year interval was comparable between the two groups., Conclusion: Withdrawal of MTX while tapering abatacept may compromise meeting the treatment goal for patients with RA., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Park, Kim, Kim, Lim, Kim, Kim and Shin.)
Published: 2024
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38. Advancements in nanomedicine: Precision delivery strategies for male pelvic malignancies - Spotlight on prostate and colorectal cancer.

Author: Yang G, Cao Y, Yang X, Cui T, Tan NZV, Lim YK, Fu Y, Cao X, Bhandari A, Enikeev M, Efetov S, Balaban V, and He M
Subjects: Humans, Male, Nanoparticles chemistry, Pelvic Neoplasms pathology, Pelvic Neoplasms drug therapy, Pelvic Neoplasms therapy, Precision Medicine methods, Antineoplastic Agents administration & dosage, Antineoplastic Agents therapeutic use, Animals, Nanomedicine methods, Prostatic Neoplasms drug therapy, Prostatic Neoplasms therapy, Prostatic Neoplasms pathology, Drug Delivery Systems methods, Colorectal Neoplasms drug therapy, Colorectal Neoplasms therapy, Colorectal Neoplasms pathology
Abstract: Background: Pelvic malignancies consistently pose significant global health challenges, adversely affecting the well-being of the male population. It is anticipated that clinicians will continue to confront these cancers in their practice. Nanomedicine offers promising strategies that revolutionize the treatment of male pelvic malignancies by providing precise delivery methods that aim to improve the efficacy of therapeutic outcomes while minimizing side effects. Nanoparticles are designed to encapsulate therapeutic agents and selectively target cancer cells. They can also be loaded with theragnostic agents, enabling multifunctional capabilities., Objective: This review aims to summarize the latest nanomedicine research into clinical applications, focusing on nanotechnology-based treatment strategies for male pelvic malignancies, encompassing chemotherapy, radiotherapy, immunotherapy, and other cutting-edge therapies. The review is structured to assist physicians, particularly those with limited knowledge of biochemistry and bioengineering, in comprehending the functionalities and applications of nanomaterials., Methods: Multiple databases, including PubMed, the National Library of Medicine, and Embase, were utilized to locate and review recently published articles on advancements in nano-drug delivery for prostate and colorectal cancers., Conclusion: Nanomedicine possesses considerable potential in improving therapeutic outcomes and reducing adverse effects for male pelvic malignancies. Through precision delivery methods, this emerging field presents innovative treatment modalities to address these challenging diseases. Nevertheless, the majority of current studies are in the preclinical phase, with a lack of sufficient evidence to fully understand the precise mechanisms of action, absence of comprehensive pharmacotoxicity profiles, and uncertainty surrounding long-term consequences., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
Published: 2024
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39. A distinct Fusobacterium nucleatum clade dominates the colorectal cancer niche.

Author: Zepeda-Rivera M, Minot SS, Bouzek H, Wu H, Blanco-Míguez A, Manghi P, Jones DS, LaCourse KD, Wu Y, McMahon EF, Park SN, Lim YK, Kempchinsky AG, Willis AD, Cotton SL, Yost SC, Sicinska E, Kook JK, Dewhirst FE, Segata N, Bullman S, and Johnston CD
Subjects: Animals, Humans, Mice, Adenoma microbiology, Case-Control Studies, Feces microbiology, Gastrointestinal Tract metabolism, Gastrointestinal Tract microbiology, Genome, Bacterial genetics, Mouth microbiology, Female, Colorectal Neoplasms microbiology, Colorectal Neoplasms pathology, Fusobacterium nucleatum classification, Fusobacterium nucleatum genetics, Fusobacterium nucleatum isolation & purification, Fusobacterium nucleatum pathogenicity
Abstract: Fusobacterium nucleatum (Fn), a bacterium present in the human oral cavity and rarely found in the lower gastrointestinal tract of healthy individuals 1 , is enriched in human colorectal cancer (CRC) tumours 2-5 . High intratumoural Fn loads are associated with recurrence, metastases and poorer patient prognosis 5-8 . Here, to delineate Fn genetic factors facilitating tumour colonization, we generated closed genomes for 135 Fn strains; 80 oral strains from individuals without cancer and 55 unique cancer strains cultured from tumours from 51 patients with CRC. Pangenomic analyses identified 483 CRC-enriched genetic factors. Tumour-isolated strains predominantly belong to Fn subspecies animalis (Fna). However, genomic analyses reveal that Fna, considered a single subspecies, is instead composed of two distinct clades (Fna C1 and Fna C2). Of these, only Fna C2 dominates the CRC tumour niche. Inter-Fna analyses identified 195 Fna C2-associated genetic factors consistent with increased metabolic potential and colonization of the gastrointestinal tract. In support of this, Fna C2-treated mice had an increased number of intestinal adenomas and altered metabolites. Microbiome analysis of human tumour tissue from 116 patients with CRC demonstrated Fna C2 enrichment. Comparison of 62 paired specimens showed that only Fna C2 is tumour enriched compared to normal adjacent tissue. This was further supported by metagenomic analysis of stool samples from 627 patients with CRC and 619 healthy individuals. Collectively, our results identify the Fna clade bifurcation, show that specifically Fna C2 drives the reported Fn enrichment in human CRC and reveal the genetic underpinnings of pathoadaptation of Fna C2 to the CRC niche., (© 2024. The Author(s).)
Published: 2024
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40. Range shift verification in spot scanning proton therapy using gamma electron vertex imaging.

Author: Kim SH, Jeong JH, Ku Y, Lee SB, Shin D, Lim YK, Kim H, and Kim CH
Subjects: Humans, Electrons, Protons, Radiotherapy Planning, Computer-Assisted methods, Diagnostic Imaging, Phantoms, Imaging, Radiotherapy Dosage, Proton Therapy methods
Abstract: Background: In proton therapy, a highly steep distal dose penumbra can be utilized for dose conformity, given the Bragg peak characteristic of protons. However, the location of the Bragg peak in patients (i.e., the beam range) is very sensitive to range uncertainty. Even a small shift of beam range can produce a significant variation of delivered dose to tumor and normal tissues, thus degrading treatment quality and threatening patient safety. This range uncertainty issue, therefore, is one of the important aspects to be managed in proton therapy., Purpose: For better management of range uncertainty, range verification has been widely studied, and prompt gamma imaging (PGI) is considered one of the promising methods in that effort. In this context, a PGI system named the gamma electron vertex imaging (GEVI) system was developed and recently upgraded for application to pencil-beam scanning (PBS) proton therapy. Here, we report the first experimental results using the therapeutic spot scanning proton beams., Methods: A homogeneous slab phantom and an anthropomorphic phantom were employed. Spherical and cubic planning target volumes (PTVs) were defined. Various range shift scenarios were introduced. Prompt gamma (PG) measurement was synchronized with beam irradiation. The measured PG distributions were aggregated to improve the PG statistics. The range shift was estimated based on the relative change of the centroid in the measured PG distribution. The estimated range shifts were analyzed by range shift mapping, confidence interval (CI) estimation, and statistical hypothesis testing., Results: The range shift mapping results showed an obvious measured range shift tendency following the true shift values. However, some fluctuations were found for spots that had still-low PG statistics after spot aggregation. The 99% CI distributions showed clearly distributed range shift measurement data. The overall accuracy and precision for all investigated scenarios were 0.36 and 0.20 mm, respectively. The results of one-sample t-tests confirmed that every shift scenario could be observed up to 1 mm of shift. The ANOVA results proved that the measured range shift data could be discriminated from one another, except for 16 (of 138) comparison cases having 1-2 mm shift differences., Conclusions: This study demonstrated the feasibility of the GEVI system for measurement of range shift in spot scanning proton therapy. Our experimental results showed that the proton beam can be measured up to 1 mm of range shift with high accuracy and precision. We believe that the GEVI system is one of the most promising PGI systems for in vivo range verification. Further research for application to more various cases and patient treatments is planned., (© 2023 American Association of Physicists in Medicine.)
Published: 2024
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41. Differential impact of planktonic and periphytic diatoms on aggregation and sinking of microplastics in a simulated marine environment.

Author: Lim YK, Lee KW, Hong SH, Park JG, and Baek SH
Subjects: Microplastics, Plastics pharmacology, Plankton, Polyethylene, Diatoms, Microalgae, Water Pollutants, Chemical analysis
Abstract: Aggregation between microalgae and microplastics (MPs) significantly influences the MPs distribution in marine environment. We investigated the effects of two diatoms, the planktonic Pseudo-nitzschia pungens and the periphytic Navicula sp., on the formation and sinking of aggregates when they were cultured with four different types of MPs: small and large polyethylene terephthalate (PET) fibers, and low-density and high-density polyethylene (PE) spheres. Navicula sp. formed aggregates with all MPs within one week, but P. pungens only formed aggregates with PE spheres after 9 weeks. The PE-Navicula sp. aggregates settled about 100 times faster than the PE-P. pungens aggregates (12.2 vs. 0.1 mm s -1 ), and this difference was most likely due to aggregate shape rather than size. Our findings indicate that the periphytic Navicula sp. had a greater effect on the settling of MPs than the planktonic P. pungens. These findings have implications for understanding the behavior of MPs in marine environments., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)
Published: 2024
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42. Comparison of new and old BacT/ALERT aerobic bottles for detection of Candida species.

Author: Choe KW, Lim YK, and Lee MK
Subjects: Animals, Horses, Candida, Retrospective Studies, Blood Culture methods, Candida albicans, Culture Media, Candida glabrata, Candidemia diagnosis, Bacteremia diagnosis
Abstract: Purpose: A new version of aerobic blood culture media has been developed for the BacT/ALERT (bioMérieux) blood culture system. We evaluated the time to detection and yeast cell counts in positive blood cultures for each Candida spp. according to changes in media., Methods: Isolates from defibrinated horse blood were inoculated into three types of bottles: the old version of aerobic bottle, new version of aerobic bottle, and anaerobic bottle. All bottles were incubated in the BacT/ALERT Virtuo blood culture system. The time to detection was monitored for each bottle, and yeast cell counts were performed immediately after testing positive, determined via the plate count method. Clinical retrospective data of the candidemia samples before and after aerobic bottle change also were analyzed., Results: The median time to detection was 52.47 hours in the old aerobic bottles versus 19.92 hours in the new aerobic bottles (P < 0.001) for Candida glabrata, and standard and clinical strains showed similar results. C. albicans (27.6 to 24.95 hours) and C. guilliermondii (28.92 to 26.9 hours) had shorter time to detection. However, C. auris (25.43 to 28.25 hours) had a longer time to detection in the new aerobic bottle. The retrospective clinical analysis showed a significant decrease in time to detection (45.0 to 19.4 hours) for C. glabrata, which is consistent with our simulated study result for C. glabrata. As a result of analysis including all blood specimens, C. tropicalis showed a significant delay in time to detection in new aerobic bottles. In an analysis limited to peripheral blood specimens, the time to detection of C. parapsilosis was longer in new aerobic bottles than in old aerobic bottles., Conclusion: Most Candida species did not show remarkable TTD differences, but TTD of C. glabrata was markedly reduced in the New FA Plus bottle. The reduction of time to detection enables faster detection and therapeutic approach for C. glabrata infections., Competing Interests: The authors have declared that no competing interests exist, (Copyright: © 2023 Choe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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43. Monthly distribution of lipophilic marine biotoxins and associated microalgae in the South Sea Coast of Korea throughout 2021.

Author: Kim M, Hong S, Lim YK, Cha J, Kim Y, Lee CE, Yoon JN, Lee HS, and Baek SH
Subjects: Animals, Humans, Marine Toxins, Shellfish analysis, Phytoplankton, Saxitoxin, Republic of Korea, Microalgae, Bivalvia, Dinoflagellida
Abstract: Aquaculture farms have been established along the South Sea Coast of Korea, supplying most of the seafood consumed domestically. However, annual harmful algal blooms pose a potential threat to seafood safety. This study aimed to determine the spatial and seasonal distributions of 12 lipophilic marine biotoxins (LMTs) in phytoplankton and mussels in the region in 2021. Solid-phase adsorption toxin tracking (SPATT) was used to monitor the cumulative compositions of LMTs in seawater. LMT concentrations were also determined in twelve commercially available species of domestic shellfish to evaluate the potential risks to human health. Gonyaulux spinifera and Dinophysis acuminata, causative microalgae of yessotoxins (YTXs) and pectenotoxins (PTXs), respectively, showed high densities in the region from May to July. This period corresponded to high LMT concentrations in phytoplankton and mussels. Phytoplankton mainly contained PTX-2 and homo-YTX, with a maximum concentration of 2300 ng g -1 wet weight (ww) in May. In contrast, mussels mainly contained homo-YTX and YTX, with a maximum concentration of 1300 ng g -1 ww in July. LMTs-producing microalgae showed low densities and concentrations after July, whereas mussels accumulated toxins until September. In the SPATT sampler, more diverse LMTs were detected than in seawater, phytoplankton, and mussels. For example, dinophysistoxin-1 and azaspiracid-2 were detected only in SPATT. YTXs were detected in domestic seafood samples, including mussels, red scallops, and pen shells, but the concentrations were below the European Food Safety Agency recommended standard of 3.75 mg YTX-eq. kg -1 . Moreover, the hazard quotient was less than 100 in all scenarios, indicating that the human health risk was not significant. This study provides valuable data on monthly distribution patterns of LMTs in the South Sea Coast of Korea and can serve as baseline data for future management policies of marine biotoxins., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2023
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44. Comparing Surgical and Oncological Outcomes between Indocyanine Green (ICG) Sentinel Lymph Node Mapping with Routine Lymphadenectomy in the Surgical Staging of Early-Stage Endometrioid Endometrial Cancer.

Author: Koh KML, Ng ZY, Chin FHX, Wong WL, Wang J, and Lim YK
Abstract: Methods: A retrospective single-centre cohort study of patients with early-stage endometrioid endometrial cancer undergoing staging surgery (total hysterectomy, bilateral salpingo-oophorectomy with/without pelvic lymph node, and/or para-aortic lymph node dissection (PLND)) with either SLN mapping or routine lymphadenectomy between July 2017 and December 2018., Results: 203 cases with clinical and radiological International Federation of Gynaecology and Obstetrics (FIGO) stage I endometrioid endometrial cancer were included, out of which 109 cases underwent SLN mapping and 94 cases complete lymphadenectomy. Compared to the PLND group, the SLN group had shorter operative time (129 vs. 162 minutes), less blood loss (100 vs. 300 ml), and decreased length of postoperative hospital stay (3 vs. 4 days) ( p < 0.001). The lymph node metastases detection rate was 4.6% and 7.4% for the SLN and PLND groups, respectively ( p = 0.389). With a median follow-up of 14 months for the SLN and 15 months for the PLND group, the disease-free (DFS) and overall survival (OS) were comparable for both at 13 months ( p = 0.538 and p = 0.333, respectively)., Conclusion: SLN mapping has been shown to be an acceptable alternative to routine lymphadenectomy in the surgical staging of early-stage endometrial cancer in our centre, with a comparable lymph node metastases detection rate, DFS and OS, and reduction in operative morbidity. Our results with SLN mapping reproduce comparable outcomes to those reported in the literature., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2023 Krystal Miao Lin Koh et al.)
Published: 2023
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45. The Effect of Respiratory Motion in Breast Intensity-modulated Radiation Therapy: 3D-Printed Dynamic Phantom Study.

Author: Choi YE, Sung K, Dong KS, Shin HB, Kim HJ, and Lim YK
Abstract: Background/aim: This study evaluated the dosimetric effect of respiratory motion in intensity-modulated radiation therapy (IMRT) for breast cancer using a three-dimensional (3D)-printed dynamic phantom., Materials and Methods: Computed tomography (CT) data from breast cancer patients were used to create a 3D-printed breast phantom. Various types of treatment plans were generated using CT images acquired at the exhalation phase. Different infill densities in the 3D-printed phantom were tested to validate their effect on simulating the average human breast tissue density. Plans were delivered to the 3D-printed dynamic phantom in the exhalation position and free-breathing motion. Dosimetric verification was performed using Gafchromic EBT3 films., Results: After changing the infill density to obtain Hounsfield Unit values similar to those of human breast tissue, a realistic patient-specific breast phantom was fabricated using a 3D printer at 80% infill density. The gamma passing rates of the dose distribution delivered in the exhalation phase and free-breathing motion were 92% or more. In addition, the dynamic phantom doses with free-breathing motion were directly compared with the static phantom dose in terms of sagittal dose profiles. Gamma passing rates of >93% and 90% were achieved at 3%/3 mm and 3%/2 mm, respectively., Conclusion: Despite a blurred dose distribution, the dose map of the film measurement with respiratory motion could be delivered without significantly increasing the dose heterogeneity of the tumor bed or loss of target coverage. Our findings demonstrate that the impact of respiration on breast IMRT for whole-breast irradiation was not significant, even in the tumor bed., (Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
Published: 2023
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46. Effect of wastewater from the in-water cleaning of ship hulls on attached and unattached microalgae.

Author: Lim YK, Kim M, Yoon JN, Soon ZY, Shin K, and Baek SH
Subjects: Chlorophyll A, Water, Ships, Biomass, Wastewater, Microalgae
Abstract: Environmental spills of in-water hull cleaning wastewater (HCW) containing heavy metals and biocides is inevitable, and the effects of HCW on microalgae are unknown. To investigate this, we conducted microcosm experiments by adding HCW to natural seawater. HCW samples were obtained from two different cleaning methods (soft: sponge, hard: brush), and 5 % or 10 % were added to natural seawater as treatments. Dissolved Cu concentrations were 5 to 10 times higher in the treatments than those in the control. There were significant differences in growth of unattached microalgae depending on HCW dose (chlorophyll a: 34.1 ± 0.8 μg L -1 in control vs. 12.6 ± 4.3 μg L -1 in treatments). Conversely, the biomass of attached microalgae increased with HCW dose, which was associated with most of the nutrient reduction later in the experiment, rather than unattached microalgae. Our findings suggest that HCW can significantly impact microalgal community, especially depending on spill volume., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)
Published: 2023
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47. Clinical performance of SARS-CoV-2 antigen-detection rapid diagnostic test using SERS-based lateral flow immunoassay.

Author: Yoon S, Lim YK, Kweon OJ, Kim TH, and Lee MK
Abstract: Background: 'ACROSIS COVID-19 Ag (NPS)' kit (SG Medical, Seoul, Korea) is a newly developed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen-detection rapid diagnostic test (Ag-RDT) using surface-enhanced Raman scattering (SERS)-based lateral flow immunoassay (LFIA). We evaluated its clinical performance compared with STANDARD Q COVID-19 Ag (SD Biosensor, Suwon, Korea), a previously approved Ag-RDT., Methods: A total of 286 nasopharyngeal swab specimens were collected: 104 positive and 182 negative specimens in SARS-CoV-2 real-time reverse-transcription polymerase-chain-reaction (rRT-PCR). SARS-CoV-2-positive specimens were divided according to the cycle threshold (Ct) value in rRT-PCR. The clinical performance of ACROSIS was compared with that of STANDARD Q., Results: ACROSIS showed significantly higher sensitivity than STANDARD Q (92.3% vs. 85.6%, P = 0.02), especially in specimens with 25 ≤ Ct < 30 (78.6% vs. 42.9%). The Ct values of RdRp / S genes for 95% detection rates by ACROSIS and STANDARD Q were 25.8 and 23.0, respectively., Conclusions: This is the first study that evaluated the performance of ACROSIS compared with STANDARD Q. The overall clinical performance of ACROSIS was superior to that of STANDARD Q, especially in specimens with 25 ≤ Ct < 30. ACROSIS could be useful for SARS-CoV-2 Ag detection even in relatively low viral load specimens., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)
Published: 2023
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48. Feature Importance Analysis of a Deep Learning Model for Predicting Late Bladder Toxicity Occurrence in Uterine Cervical Cancer Patients.

Author: Cheon W, Han M, Jeong S, Oh ES, Lee SU, Lee SB, Shin D, Lim YK, Jeong JH, Kim H, and Kim JY
Abstract: (1) In this study, we developed a deep learning (DL) model that can be used to predict late bladder toxicity. (2) We collected data obtained from 281 uterine cervical cancer patients who underwent definitive radiation therapy. The DL model was trained using 16 features, including patient, tumor, treatment, and dose parameters, and its performance was compared with that of a multivariable logistic regression model using the following metrics: accuracy, prediction, recall, F1-score, and area under the receiver operating characteristic curve (AUROC). In addition, permutation feature importance was calculated to interpret the DL model for each feature, and the lightweight DL model was designed to focus on the top five important features. (3) The DL model outperformed the multivariable logistic regression model on our dataset. It achieved an F1-score of 0.76 and an AUROC of 0.81, while the corresponding values for the multivariable logistic regression were 0.14 and 0.43, respectively. The DL model identified the doses for the most exposed 2 cc volume of the bladder (BD 2cc ) as the most important feature, followed by BD 5cc and the ICRU bladder point. In the case of the lightweight DL model, the F-score and AUROC were 0.90 and 0.91, respectively. (4) The DL models exhibited superior performance in predicting late bladder toxicity compared with the statistical method. Through the interpretation of the model, it further emphasized its potential for improving patient outcomes and minimizing treatment-related complications with a high level of reliability.
Published: 2023
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49. Characteristics of the Salivary Microbiota in Periodontal Diseases and Potential Roles of Individual Bacterial Species To Predict the Severity of Periodontal Disease.

Author: Ji S, Kook JK, Park SN, Lim YK, Choi GH, and Jung JS
Subjects: Humans, Bacteroides, RNA, Ribosomal, 16S genetics, Porphyromonas gingivalis genetics, Periodontal Diseases diagnosis, Periodontal Diseases microbiology, Periodontitis diagnosis, Periodontitis microbiology, Microbiota
Abstract: The purposes of this study were to examine the compositional changes in the salivary microbiota according to the severity of periodontal disease and to verify whether the distribution of specific bacterial species in saliva can distinguish the severity of disease. Saliva samples were collected from 8 periodontally healthy controls, 16 patients with gingivitis, 19 patients with moderate periodontitis, and 29 patients with severe periodontitis. The V3 and V4 regions of the 16S rRNA gene in the samples were sequenced, and the levels of 9 bacterial species showing significant differences among the groups by sequencing analysis were identified using quantitative real-time PCR (qPCR). The predictive performance of each bacterial species in distinguishing the severity of disease was evaluated using a receiver operating characteristic curve. Twenty-nine species, including Porphyromonas gingivalis, increased as the severity of disease increased, whereas 6 species, including Rothia denticola, decreased. The relative abundances of P. gingivalis, Tannerella forsythia, Filifactor alocis, and Prevotella intermedia determined by qPCR were significantly different among the groups. The three bacterial species P. gingivalis, T. forsythia, and F. alocis were positively correlated with the sum of the full-mouth probing depth and were moderately accurate at distinguishing the severity of periodontal disease. In conclusion, the salivary microbiota showed gradual compositional changes according to the severity of periodontitis, and the levels of P. gingivalis, T. forsythia , and F. alocis in mouth rinse saliva had the ability to distinguish the severity of periodontal disease. IMPORTANCE Periodontal disease is one of the most widespread medical conditions and the leading cause of tooth loss, imposing high economic costs and an increasing burden worldwide as life expectancy increases. Changes in the subgingival bacterial community during the progression of periodontal disease can affect the entire oral ecosystem, and bacteria in saliva can reflect the degree of bacterial imbalance in the oral cavity. This study explored whether the specific bacterial species in saliva can distinguish the severity of periodontal disease by analyzing the salivary microbiota and suggested P. gingivalis, T. forsythia , and F. alocis as biomarkers for distinguishing the severity of periodontal disease in saliva., Competing Interests: The authors declare a conflict of interest. All authors are co-applicants on patent application 10-2021-0138897 entitled “Composition for diagnosing periodontal disease using microbiome in saliva and use thereof”.
Published: 2023
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50. Prevalence of Anti-PF4 Antibodies After First and Second ChAdOx1 nCoV-19 Vaccinations in Women With Adverse Events: A Brief Report and Literature Review.

Author: Choe KW, Lim YK, Kweon OJ, Lee MK, Chung JW, and Kim HR
Subjects: Humans, Female, Prevalence, Antibodies, Viral, ChAdOx1 nCoV-19, Vaccination adverse effects
Published: 2023
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