167 results on '"Sura T"'
Search Results
2. The water crisis and the conflict in the Middle East
- Author
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Salameh, Mohammed T. Bani, Alraggad, Marwan, and Harahsheh, Sura T.
- Published
- 2021
- Full Text
- View/download PDF
3. Oral Microbiota as Potential Biomarkers for Predicting Head and Neck Tumorigenesis
- Author
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Al-Dhafiri, Sura T. J., primary and Al-Khafaji, Ahmed S. K., additional
- Published
- 2023
- Full Text
- View/download PDF
4. Effect of Copper Content Addition to Dental Amalgam Properties
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Mohammed O. Kadhim, Wisam A. Latif, Fayq Hsan Jabbar, and Sura T. Nassir
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Amalgam (dentistry) ,Materials science ,Developmental Neuroscience ,chemistry ,Cognitive Neuroscience ,Metallurgy ,engineering ,chemistry.chemical_element ,engineering.material ,Copper ,Atomic and Molecular Physics, and Optics - Abstract
A set of high-copper amalgam alloys have been prepared based on the change in the ratio of copper to silver using elemental components of high purity 99.9%. The amalgamation processes were done by mixing alloy powders with mercury at a fixed ratio. Structural properties were studied using X-ray diffraction and Optical Microscopy. Also, microhardness, and compressive strength were used to study some other important mechanical properties. The prepared amalgams were compared with well-known commercial amalgams; ANA 2000 and Standalloy F. The results of X-ray diffraction showed several prime phases in alloys and amalgams whose proportions and distribution depended on the copper content in the alloy. The results of mechanical test measurements showed a linear increase in the mechanical properties with increasing copper content in the amalgams. The results were similar to the measured values of the commercial amalgam.
- Published
- 2021
- Full Text
- View/download PDF
5. A Haplotype of the Human CXCR1 Gene Protective against Rapid Disease Progression in HIV-1⁺ Patients
- Author
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Vasilescu, A., Terashima, Y., Enomoto, M., Heath, S., Poonpiriya, V., Gatanaga, H., Do, H., Diop, G., Hirtzig, T., Auewarakul, P., Lauhakirti, D., Sura, T., Charneau, P., Marullo, S., Therwath, A., Oka, S., Kanegasaki, S., Lathrop, M., Matsushima, K., Zagury, J.-F., and Matsuda, F.
- Published
- 2007
- Full Text
- View/download PDF
6. Number of Electricity Hours Generation Map for Different Wind Turbines in the Province of Wasit â€' Iraq
- Author
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Rawnak A. Abdul wahab, Sura T. Nassir, and Firas A. Hadi
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General Computer Science ,General Chemistry ,General Biochemistry, Genetics and Molecular Biology - Abstract
Wind energy is becoming one of the renewable energy that has attracted great attention all over the world. This research work aims to build a map by which the user can have a thought about the number of generation hours of electricity from wind through all the year at the location of study (Wasit-Iraq). To interact the idea, this study included using the work included using different wind turbines at different heights. The results show that Gamesa G58-850 KW wind turbine gives more generated hours at 50 meters height.
- Published
- 2019
- Full Text
- View/download PDF
7. Genome-wide SNP-based linkage analysis of tuberculosis in Thais
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Mahasirimongkol, S, Yanai, H, Nishida, N, Ridruechai, C, Matsushita, I, Ohashi, J, Summanapan, S, Yamada, N, Moolphate, S, Chuchotaworn, C, Chaiprasert, A, Manosuthi, W, Kantipong, P, Kanitwittaya, S, Sura, T, Khusmith, S, Tokunaga, K, Sawanpanyalert, P, and Keicho, N
- Published
- 2009
- Full Text
- View/download PDF
8. The temporal and spatial distribution of wind factor in Iraq
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Sura T. Nassir, Azhaar K. Mishaal, Ahmed B. Khamees, and Mudar Ahmed Abdulsattar
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Factor (chord) ,Multidisciplinary ,Physics and Astronomy (miscellaneous) ,Chemistry (miscellaneous) ,Statistics ,Computer Science (miscellaneous) ,Environmental science ,Statistical model ,Autoregressive integrated moving average ,Spatial distribution ,Biochemistry, Genetics and Molecular Biology (miscellaneous) - Published
- 2020
- Full Text
- View/download PDF
9. Effect of Copper Content Addition to Dental Amalgam Properties
- Author
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Kadhim, Mohammed O., primary, Latif, Wisam A., additional, Jabbar, Fayq Hsan, additional, and Nassir, Sura T., additional
- Published
- 2021
- Full Text
- View/download PDF
10. HPR41 Predictors of Epidermal Growth Factor (EGFR) Testing Among Patients with Metastatic Non-Small Cell Lung Cancer (MNSCLC) Treated in the Real-World Setting
- Author
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Vasudevan, A., Sura, T., English, S., Wang, B., Varughese, P., and Katzen, H.
- Published
- 2023
- Full Text
- View/download PDF
11. Number of Electricity Hours Generation Map for Different Wind Turbines in the Province of Wasit – Iraq
- Author
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Abdul wahab, Rawnak A., primary, Nassir, Sura T., additional, and Hadi, Firas A., additional
- Published
- 2019
- Full Text
- View/download PDF
12. Number of Electricity Hours Generation Map for Different Wind Turbines in the Province of Wasit - Iraq.
- Author
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Abdulwahab, Rawnak A., Nassir, Sura T., and Hadi, Firas A.
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ELECTRIC power production ,WIND turbines ,WIND power ,ELECTRICITY - Abstract
Copyright of Iraqi Journal of Science is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
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13. Discordance for late-onset degenerative ataxia in monozygous triplets
- Author
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Harding, A. E., Sura, T., Tippett, P., Boughey, A. M., and Patten, J. P.
- Published
- 1991
- Full Text
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14. Estimation the Missing Data of Meteorological Variables In Different Iraqi Cities By using ARIMA Model.
- Author
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Nassir, Sura T., Khamees, Ahmed B., and Mousa, Wassan T.
- Subjects
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METEOROLOGICAL databases , *MISSING data (Statistics) , *BOX-Jenkins forecasting , *STANDARD deviations , *MAPS - Abstract
In this paper, ARIMA model was used for Estimating the missing data(air temperature, relative humidity, wind speed) for mean monthly variables in different time series at three stations (Sinjar, Baghdad , AL.Hai) which represented different parts of Iraq from north to south respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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15. Analytical Study of climate changes effect on wind speed in Al- Nasiriya, Iraq.
- Author
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Khamees, Ahmed B., Nassir, Sura T., and Heni, Khalid S.
- Subjects
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CLIMATE change , *WIND speed , *TEMPERATURE measurements , *ATMOSPHERIC pressure , *HUMIDITY - Abstract
The ambient temperature is the major parameter that influences wind speed. When temperature rises, air will be extended and wind will flow with different speeds in all directions, increasing of temperature means that wind speed will be increased and vice versa. The relative humidity and atmospheric pressure affected with temperature, too. Climate changes making significant effects on the atmospheric temperature. In this project, the data of thirty four years (1981 – 2004) has been analyzed to get an idea about the changes occurred in the meteorological parameters in Al-Nasiriya city, which was chosen because it has a distinctive wind speed. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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16. Development, testing and design optimisation of a water and R134a based thermosyphon heat exchanger for air-water heat recovery systems
- Author
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Kanchit Rongchai and Sura Tundee
- Subjects
Thermal performance ,Thermosyphons ,Heat exchanger ,Nusselt number ,Reynolds number ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Heat pipes find their increasing uses in heat recovery and energy saving in thermal systems. Our work involves the designing, building, and testing of a heat pipe heat exchanger made of 28 copper thermosyphons. We investigated the use of distilled water and R134a as the thermosyphons’ working fluid with optimisation. The thermosyphons were arranged into four rows by seven columns with a hot air flow at the evaporator and a cooling water flow at the condenser. The performance was tested in three working fluid cases: distilled water, R134a, and a hybrid. The hot air flowrate was varied and at temperatures of 80 °C, 110 °C, and 140 °C to investigate the performance. The results show that increasing the air flow temperature increased the effectiveness. Optimisation was examined using the ε-NTU analysis and revealed that R134a offered the highest effectiveness with a relatively small NTU. Tested using three values of Cr, highest effectiveness of 30%, 51% and 40% for distilled water, R134a, and the hybrid respectively, was achieved across all fluid cases at Cr = 0.15. A Reynolds analysis performed to compare the effect of relative flows over the evaporator and condenser showed that increasing Reh/Rec, increased the heat transfer at the condenser and the overall effectiveness. At Reh/Rec = 2500, heat transfer was 500 W, 2000 W and 800 W for distilled water, R134a, and the hybrid respectively. Our work could potentially be useful in the designing and optimising of a thermosyphon heat exchanger for saving energy in air-water heat handling applications.
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- 2022
- Full Text
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17. Search for anomalous production of events with a photon, jet, b-quark jet, and missing transverse energy RID G-1087-2011 RID E-4473-2011
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Aaltonen, T, Adelman, J, Akimoto, T, Gonzalez, Ba, Amerio, S, Amidei, D, Anastassov, A, Annovi, A, Antos, J, Apollinari, G, Apresyan, A, Arisawa, T, Artikov, A, Ashmanskas, W, Attal, A, Aurisano, A, Azfar, F, Azzurri, P, Badgett, W, Barbaro Galtieri, A, Barnes, Ve, Barnett, Ba, Bartsch, V, Bauer, G, Beauchemin, Ph, Bedeschi, F, Beecher, D, Behari, S, Bellettini, G, Bellinger, J, Benjamin, D, Beretvas, A, Beringer, J, Bhatti, A, Binkley, M, Bisello, D, Bizjak, I, Blair, Re, Blocker, C, Blumenfeld, B, Bocci, A, Bodek, A, Boisvert, V, Bolla, G, Bortoletto, D, Boudreau, J, Boveia, A, Brau, B, Bridgeman, A, Brigliadori, L, Bromberg, C, Brubaker, E, Budagov, J, Budd, Hs, Budd, S, Burke, S, Burkett, K, Busetto, G, Bussey, P, Buzatu, A, Byrum, Kl, Cabrera, S, Calancha, C, Campanelli, M, Campbell, M, Canelli, F, Canepa, A, Carls, B, Carlsmith, D, Carosi, R, Carrillo, S, Carron, S, Casal, B, Casarsa, M, Castro, A, Catastini, P, Cauz, D, Cavaliere, V, Cavalli Sforza, M, Cerri, A, Cerrito, L, Chang, Sh, Chen, Yc, Chertok, M, Chiarelli, G, Chlachidze, G, Chlebana, F, Cho, K, Chokheli, D, Chou, Jp, Choudalakis, G, Chuang, Sh, Chung, K, Chung, Wh, Chung, Ys, Chwalek, T, Ciobanu, Ci, Ciocci, Ma, Clark, A, Clark, D, Compostella, G, Convery, Me, Conway, J, Cordelli, M, Cortiana, G, Cox, Ca, Cox, Dj, Crescioli, F, Almenar, Cc, Cuevas, J, Culbertson, R, Cully, Jc, Dagenhart, D, Datta, M, Davies, T, de Barbaro, P, De Cecco, S, Deisher, A, De Lorenzo, G, Dell'Orso, Mauro, Deluca, C, Demortier, L, Deng, J, Deninno, M, Derwent, Pf, di Giovanni GP, Dionisi, C, Di Ruzza, B, Dittmann, Jr, D'Onofrio, M, Donati, Simone, Dong, P, Donini, J, Dorigo, T, Dube, S, Efron, J, Elagin, A, Erbacher, R, Errede, D, Errede, S, Eusebi, R, Fang, Hc, Farrington, S, Fedorko, Wt, Feild, Rg, Feindt, M, Fernandez, Jp, Ferrazza, C, Field, R, Flanagan, G, Forrest, R, Frank, Mj, Franklin, M, Freeman, Jc, Frisch, Hj, Furic, I, Gallinaro, M, Galyardt, J, Garberson, F, Garcia, Je, Garfinkel, Af, Genser, K, Gerberich, H, Gerdes, D, Gessler, A, Giagu, S, Giakoumopoulou, V, Giannetti, P, Gibson, K, Gimmell, Jl, Ginsburg, Cm, Giokaris, N, Giordani, M, Giromini, P, Giunta, M, Giurgiu, G, Glagolev, V, Glenzinski, D, Gold, M, Goldschmidt, N, Golossanov, A, Gomez, G, Gomez Ceballos, G, Goncharov, M, Gonzalez, O, Gorelov, I, Goshaw, At, Goulianos, K, Gresele, A, Grinstein, S, Grosso Pilcher, C, Group, Rc, Grundler, U, da Costa JG, Gunay Unalan, Z, Haber, C, Hahn, K, Hahn, Sr, Halkiadakis, E, Han, By, Han, Jy, Happacher, F, Hara, K, Hare, D, Hare, M, Harper, S, Harr, Rf, Harris, Rm, Hartz, M, Hatakeyama, K, Hays, C, Heck, M, Heijboer, A, Heinrich, J, Henderson, C, Herndon, M, Heuser, J, Hewamanage, S, Hidas, D, Hill, Cs, Hirschbuehl, D, Hocker, A, Hou, S, Houlden, M, Hsu, Sc, Huffman, Bt, Hughes, Re, Husemann, U, Hussein, M, Huston, J, Incandela, J, Introzzi, G, Iori, M, Ivanov, A, James, E, Jang, D, Jayatilaka, B, Jeon, Ej, Jha, Mk, Jindariani, S, Johnson, W, Jones, M, Joo, Kk, Jun, Sy, Jung, Je, Junk, Tr, Kamon, T, Kar, D, Karchin, Pe, Kato, Y, Kephart, R, Keung, J, Khotilovich, V, Kilminster, B, Kim, Dh, Kim, Hs, Kim, Hw, Kim, Je, Kim, Mj, Kim, Sb, Kim, Sh, Kim, Yk, Kimura, N, Kirsch, L, Klimenko, S, Knuteson, B, Ko, Br, Kondo, K, Kong, Dj, Konigsberg, J, Korytov, A, Kotwal, Av, Kreps, M, Kroll, J, Krop, D, Krumnack, N, Kruse, M, Krutelyov, V, Kubo, T, Kuhr, T, Kulkarni, Np, Kurata, M, Kwang, S, Laasanen, At, Lami, S, Lammel, S, Lancaster, M, Lander, Rl, Lannon, K, Lath, A, Latino, G, Lazzizzera, I, Lecompte, T, Lee, E, Lee, Hs, Lee, Sw, Leone, S, Lewis, Jd, Lin, Cs, Linacre, J, Lindgren, M, Lipeles, E, Lister, A, Litvintsev, Do, Liu, C, Liu, T, Lockyer, Ns, Loginov, A, Loreti, M, Lovas, L, Lucchesi, D, Luci, C, Lueck, J, Lujan, P, Lukens, P, Lungu, G, Lyons, L, Lys, J, Lysak, R, Macqueen, D, Madrak, R, Maeshima, K, Makhoul, K, Maki, T, Maksimovic, P, Malde, S, Malik, S, Manca, G, Manousakis Katsikakis, A, Margaroli, F, Marino, C, Marino, Cp, Martin, A, Martin, V, Martinez, M, Martinez Ballarin, R, Maruyama, T, Mastrandrea, P, Masubuchi, T, Mathis, M, Mattson, Me, Mazzanti, P, Mcfarland, Ks, Mcintyre, P, Mcnulty, R, Mehta, A, Mehtala, P, Menzione, A, Merkel, P, Mesropian, C, Miao, T, Miladinovic, N, Miller, R, Mills, C, Milnik, M, Mitra, A, Mitselmakher, G, Miyake, H, Moggi, N, Moon, Cs, Moore, R, Morello, Mj, Morlock, J, Fernandez, Pm, Mulmenstadt, J, Mukherjee, A, Muller, T, Mumford, R, Murat, P, Mussini, M, Nachtman, J, Nagai, Y, Nagano, A, Naganoma, J, Nakamura, K, Nakano, I, Napier, A, Necula, V, Nett, J, Neu, C, Neubauer, Ms, Neubauer, S, Nielsen, J, Nodulman, L, Norman, M, Norniella, O, Nurse, E, Oakes, L, Oh, Sh, Oh, Yd, Oksuzian, I, Okusawa, T, Orava, R, Osterberg, K, Griso, Sp, Palencia, E, Papadimitriou, V, Papaikonomou, A, Paramonov, Aa, Parks, B, Pashapour, S, Patrick, J, Pauletta, G, Paulini, M, Paus, C, Peiffer, T, Pellett, De, Penzo, A, Phillips, Tj, Piacentino, G, Pianori, E, Pinera, L, Pitts, K, Plager, C, Pondrom, L, Poukhov, O, Pounder, N, Prakoshyn, F, Pronko, A, Proudfoot, J, Ptohos, F, Pueschel, E, Punzi, Giovanni, Pursley, J, Rademacker, J, Rahaman, A, Ramakrishnan, V, Ranjan, N, Redondo, I, Renton, P, Renz, M, Rescigno, M, Richter, S, Rimondi, F, Ristori, L, Robson, A, Rodrigo, T, Rodriguez, T, Rogers, E, Rolli, S, Roser, R, Rossi, M, Rossin, R, Roy, P, Ruiz, A, Russ, J, Rusu, V, Saarikko, H, Safonov, A, Sakumoto, Wk, Salto, O, Santi, L, Sarkar, S, Sartori, L, Sato, K, Savoy Navarro, A, Schlabach, P, Schmidt, A, Schmidt, Ee, Schmidt, Ma, Schmidt, Mp, Schmitt, M, Schwarz, T, Scodellaro, L, Scribano, A, Scuri, F, Sedov, A, Seidel, S, Seiya, Y, Semenov, A, Sexton Kennedy, L, Sforza, F, Sfyrla, A, Shalhout, Sz, Shears, T, Shepard, Pf, Shimojima, M, Shiraishi, S, Shochet, M, Shon, Y, Shreyber, I, Sidoti, A, Sinervo, P, Sisakyan, A, Slaughter, Aj, Slaunwhite, J, Sliwa, K, Smith, Jr, Snider, Fd, Snihur, R, Soha, A, Somalwar, S, Sorin, V, Spalding, J, Spreitzer, T, Squillacioti, P, Stanitzki, M, St Denis, R, Stelzer, B, Stelzer Chilton, O, Stentz, D, Strologas, J, Strycker, Gl, Stuart, D, Suh, Js, Sukhanov, A, Suslov, I, Suzuki, T, Taffard, A, Takashima, R, Takeuchi, Y, Tanaka, R, Tecchio, M, Teng, Pk, Terashi, K, Thom, J, Thompson, As, Thompson, Ga, Thomson, E, Tipton, P, Ttito Guzman, P, Tkaczyk, S, Toback, D, Tokar, S, Tollefson, K, Tomura, T, Tonelli, D, Torre, S, Torretta, D, Totaro, P, Tourneur, S, Trovato, M, Tsai, Sy, Tu, Y, Turini, N, Ukegawa, F, Vallecorsa, S, van Remortel, N, Varganov, A, Vataga, E, Vazquez, F, Velev, G, Vellidis, C, Vidal, M, Vidal, R, Vila, I, Vilar, R, Vine, T, Vogel, M, Volobouev, I, Volpi, G, Wagner, P, Wagner, Rg, Wagner, Rl, Wagner, W, Wagner Kuhr, J, Wakisaka, T, Wallny, R, Wang, Sm, Warburton, A, Waters, D, Weinberger, M, Weinelt, J, Wester, Wc, Whitehouse, B, Whiteson, D, Wicklund, Ab, Wicklund, E, Wilbur, S, Williams, G, Williams, Hh, Wilson, P, Winer, Bl, Wittich, P, Wolbers, S, Wolfe, C, Wright, T, Wu, X, Wurthwein, F, Xie, S, Yagil, A, Yamamoto, K, Yamaoka, J, Yang, Uk, Yang, Yc, Yao, Wm, Yeh, Gp, Yoh, J, Yorita, K, Yoshida, T, Yu, Gb, Yu, I, Yu, Ss, Yun, Jc, Zanello, L, Zanetti, A, Zhang, X, Zheng, Y, Zucchelli Sura, T., Tonelli, D., Torre, S., Torretta, D., Totaro, P., Tourneur, S., Tu, Y., Turini, N., Ukegawa, F., Vallecorsa, S., van Remortel, N., Varganov, A., Vataga, E., Vazquez, F., Velev, G., Vellidis, C., Veszpremi, V., Vidal, M., Vidal, R., Vila, I., Vilar, R., Vine, T., Vogel, M., Volobouev, I., Volpi, G., Wuerthwein, F., Wagner, P., Wagner, R. G., Wagner, R. L., Wagner Kuhr, J., Wagner, W., Wakisaka, T., Wallny, R., Wang, S. M., Warburton, A., Waters, D., Weinberger, M., Iii, Wester W. C., Whitehouse, B., Whiteson, D., Wicklund, A. B., Wicklund, E., Williams, G., Williams, H. H., Wilson, P., Winer, B. L., Wittich, P., Wolbers, S., Wolfe, C., Wright, T., Wu, X., Wynne, S. M., Yagil, A., Yamamoto, K., Yamaoka, J., Yang, U. K., Yang, Y. C., Yao, W. M., Yeh, G. P., Yoh, J., Yorita, K., Yoshida, T., G. B., Yu, Yu, I., S. S., Yu, Yun, J. C., Zanello, L., Zanetti, A., Zaw, I., Zhang, X., Zheng, Y., Zucchelli, S., Aaltonen, T, Adelman, J, Akimoto, T, Gonzalez, Ba, Amerio, S, Amidei, D, Anastassov, A, Annovi, A, Antos, J, Apollinari, G, Apresyan, A, Arisawa, T, Artikov, A, Ashmanskas, W, Attal, A, Aurisano, A, Azfar, F, Azzurri, P, Badgett, W, Barbaro Galtieri, A, Barnes, Ve, Barnett, Ba, Bartsch, V, Bauer, G, Beauchemin, Ph, Bedeschi, F, Beecher, D, Behari, S, Bellettini, G, Bellinger, J, Benjamin, D, Beretvas, A, Beringer, J, Bhatti, A, Binkley, M, Bisello, D, Bizjak, I, Blair, Re, Blocker, C, Blumenfeld, B, Bocci, A, Bodek, A, Boisvert, V, Bolla, G, Bortoletto, D, Boudreau, J, Boveia, A, Brau, B, Bridgeman, A, Brigliadori, L, Bromberg, C, Brubaker, E, Budagov, J, Budd, H, Budd, S, Burke, S, Burkett, K, Busetto, G, Bussey, P, Buzatu, A, Byrum, Kl, Cabrera, S, Calancha, C, Campanelli, M, Campbell, M, Canelli, F, Canepa, A, Carls, B, Carlsmith, D, Carosi, R, Carrillo, S, Carron, S, Casal, B, Casarsa, M, Castro, A, Catastini, P, Cauz, D, Cavaliere, V, Cavalli Sforza, M, Cerri, A, Cerrito, L, Chang, Sh, Chen, Yc, Chertok, M, Chiarelli, G, Chlachidze, G, Chlebana, F, Cho, K, Chokheli, D, Chou, Jp, Choudalakis, G, Chuang, Sh, Chung, K, Chung, Wh, Chung, Y, Chwalek, T, Ciobanu, Ci, Ciocci, Ma, Clark, A, Clark, D, Compostella, G, Convery, Me, Conway, J, Cordelli, M, Cortiana, G, Cox, Ca, Cox, Dj, Crescioli, F, Almenar, Cc, Cuevas, J, Culbertson, R, Cully, Jc, Dagenhart, D, Datta, M, Davies, T, de Barbaro, P, De Cecco, S, Deisher, A, De Lorenzo, G, Dell'Orso, M, Deluca, C, Demortier, L, Deng, J, Deninno, M, Derwent, Pf, di Giovanni, Gp, Dionisi, C, Di Ruzza, B, Dittmann, Jr, D'Onofrio, M, Donati, S, Dong, P, Donini, J, Dorigo, T, Dube, S, Efron, J, Elagin, A, Erbacher, R, Errede, D, Errede, S, Eusebi, R, Fang, Hc, Farrington, S, Fedorko, Wt, Feild, Rg, Feindt, M, Fernandez, Jp, Ferrazza, C, Field, R, Flanagan, G, Forrest, R, Frank, Mj, Franklin, M, Freeman, Jc, Frisch, Hj, Furic, I, Gallinaro, M, Galyardt, J, Garberson, F, Garcia, Je, Garfinkel, Af, Genser, K, Gerberich, H, Gerdes, D, Gessler, A, Giagu, S, Giakoumopoulou, V, Giannetti, P, Gibson, K, Gimmell, Jl, Ginsburg, Cm, Giokaris, N, Giordani, M, Giromini, P, Giunta, M, Giurgiu, G, Glagolev, V, Glenzinski, D, Gold, M, Goldschmidt, N, Golossanov, A, Gomez, G, Gomez Ceballos, G, Goncharov, M, Gonzalez, O, Gorelov, I, Goshaw, At, Goulianos, K, Gresele, A, Grinstein, S, Grosso Pilcher, C, Group, Rc, Grundler, U, da Costa, Jg, Gunay Unalan, Z, Haber, C, Hahn, K, Hahn, Sr, Halkiadakis, E, Han, By, Han, Jy, Happacher, F, Hara, K, Hare, D, Hare, M, Harper, S, Harr, Rf, Harris, Rm, Hartz, M, Hatakeyama, K, Hays, C, Heck, M, Heijboer, A, Heinrich, J, Henderson, C, Herndon, M, Heuser, J, Hewamanage, S, Hidas, D, Hill, C, Hirschbuehl, D, Hocker, A, Hou, S, Houlden, M, Hsu, Sc, Huffman, Bt, Hughes, Re, Husemann, U, Hussein, M, Huston, J, Incandela, J, Introzzi, G, Iori, M, Ivanov, A, James, E, Jang, D, Jayatilaka, B, Jeon, Ej, Jha, Mk, Jindariani, S, Johnson, W, Jones, M, Joo, Kk, Jun, Sy, Jung, Je, Junk, Tr, Kamon, T, Kar, D, Karchin, Pe, Kato, Y, Kephart, R, Keung, J, Khotilovich, V, Kilminster, B, Kim, Dh, Kim, H, Kim, Hw, Kim, Je, Kim, Mj, Kim, Sb, Kim, Sh, Kim, Yk, Kimura, N, Kirsch, L, Klimenko, S, Knuteson, B, Ko, Br, Kondo, K, Kong, Dj, Konigsberg, J, Korytov, A, Kotwal, Av, Kreps, M, Kroll, J, Krop, D, Krumnack, N, Kruse, M, Krutelyov, V, Kubo, T, Kuhr, T, Kulkarni, Np, Kurata, M, Kwang, S, Laasanen, At, Lami, S, Lammel, S, Lancaster, M, Lander, Rl, Lannon, K, Lath, A, Latino, G, Lazzizzera, I, Lecompte, T, Lee, E, Lee, H, Lee, Sw, Leone, S, Lewis, Jd, Lin, C, Linacre, J, Lindgren, M, Lipeles, E, Lister, A, Litvintsev, Do, Liu, C, Liu, T, Lockyer, N, Loginov, A, Loreti, M, Lovas, L, Lucchesi, D, Luci, C, Lueck, J, Lujan, P, Lukens, P, Lungu, G, Lyons, L, Lys, J, Lysak, R, Macqueen, D, Madrak, R, Maeshima, K, Makhoul, K, Maki, T, Maksimovic, P, Malde, S, Malik, S, Manca, G, Manousakis Katsikakis, A, Margaroli, F, Marino, C, Marino, Cp, Martin, A, Martin, V, Martinez, M, Martinez Ballarin, R, Maruyama, T, Mastrandrea, P, Masubuchi, T, Mathis, M, Mattson, Me, Mazzanti, P, Mcfarland, K, Mcintyre, P, Mcnulty, R, Mehta, A, Mehtala, P, Menzione, A, Merkel, P, Mesropian, C, Miao, T, Miladinovic, N, Miller, R, Mills, C, Milnik, M, Mitra, A, Mitselmakher, G, Miyake, H, Moggi, N, Moon, C, Moore, R, Morello, MICHAEL JOSEPH, Morlock, J, Fernandez, Pm, Mulmenstadt, J, Mukherjee, A, Muller, T, Mumford, R, Murat, P, Mussini, M, Nachtman, J, Nagai, Y, Nagano, A, Naganoma, J, Nakamura, K, Nakano, I, Napier, A, Necula, V, Nett, J, Neu, C, Neubauer, M, Neubauer, S, Nielsen, J, Nodulman, L, Norman, M, Norniella, O, Nurse, E, Oakes, L, Oh, Sh, Oh, Yd, Oksuzian, I, Okusawa, T, Orava, R, Osterberg, K, Griso, Sp, Palencia, E, Papadimitriou, V, Papaikonomou, A, Paramonov, Aa, Parks, B, Pashapour, S, Patrick, J, Pauletta, G, Paulini, M, Paus, C, Peiffer, T, Pellett, De, Penzo, A, Phillips, Tj, Piacentino, G, Pianori, E, Pinera, L, Pitts, K, Plager, C, Pondrom, L, Poukhov, O, Pounder, N, Prakoshyn, F, Pronko, A, Proudfoot, J, Ptohos, F, Pueschel, E, Punzi, G, Pursley, J, Rademacker, J, Rahaman, A, Ramakrishnan, V, Ranjan, N, Redondo, I, Renton, P, Renz, M, Rescigno, M, Richter, S, Rimondi, F, Ristori, L, Robson, A, Rodrigo, T, Rodriguez, T, Rogers, E, Rolli, S, Roser, R, Rossi, M, Rossin, R, Roy, P, Ruiz, A, Russ, J, Rusu, V, Saarikko, H, Safonov, A, Sakumoto, Wk, Salto, O, Santi, L, Sarkar, S, Sartori, L, Sato, K, Savoy Navarro, A, Schlabach, P, Schmidt, A, Schmidt, Ee, Schmidt, Ma, Schmidt, Mp, Schmitt, M, Schwarz, T, Scodellaro, L, Scribano, A, Scuri, F, Sedov, A, Seidel, S, Seiya, Y, Semenov, A, Sexton Kennedy, L, Sforza, F, Sfyrla, A, Shalhout, Sz, Shears, T, Shepard, Pf, Shimojima, M, Shiraishi, S, Shochet, M, Shon, Y, Shreyber, I, Sidoti, A, Sinervo, P, Sisakyan, A, Slaughter, Aj, Slaunwhite, J, Sliwa, K, Smith, Jr, Snider, Fd, Snihur, R, Soha, A, Somalwar, S, Sorin, V, Spalding, J, Spreitzer, T, Squillacioti, P, Stanitzki, M, St Denis, R, Stelzer, B, Stelzer Chilton, O, Stentz, D, Strologas, J, Strycker, Gl, Stuart, D, Suh, J, Sukhanov, A, Suslov, I, Suzuki, T, Taffard, A, Takashima, R, Takeuchi, Y, Tanaka, R, Tecchio, M, Teng, Pk, Terashi, K, Thom, J, Thompson, A, Thompson, Ga, Thomson, E, Tipton, P, Ttito Guzman, P, Tkaczyk, S, Toback, D, Tokar, S, Tollefson, K, Tomura, T, Tonelli, D, Torre, S, Torretta, D, Totaro, P, Tourneur, S, Trovato, M, Tsai, Sy, Tu, Y, Turini, N, Ukegawa, F, Vallecorsa, S, van Remortel, N, Varganov, A, Vataga, E, Vazquez, F, Velev, G, Vellidis, C, Vidal, M, Vidal, R, Vila, I, Vilar, R, Vine, T, Vogel, M, Volobouev, I, Volpi, G, Wagner, P, Wagner, Rg, Wagner, Rl, Wagner, W, Wagner Kuhr, J, Wakisaka, T, Wallny, R, Wang, Sm, Warburton, A, Waters, D, Weinberger, M, Weinelt, J, Wester, Wc, Whitehouse, B, Whiteson, D, Wicklund, Ab, Wicklund, E, Wilbur, S, Williams, G, Williams, Hh, Wilson, P, Winer, Bl, Wittich, P, Wolbers, S, Wolfe, C, Wright, T, Wu, X, Wurthwein, F, Xie, S, Yagil, A, Yamamoto, K, Yamaoka, J, Yang, Uk, Yang, Yc, Yao, Wm, Yeh, Gp, Yoh, J, Yorita, K, Yoshida, T, Yu, Gb, Yu, I, Yu, S, Yun, Jc, Zanello, L, Zanetti, A, Zhang, X, Zheng, Y, and Zucchelli, S.
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High Energy Physics::Experiment - Abstract
We present a signature-based search for the anomalous production of events containing a photon, two jets, of which at least one is identified as originating from a b quark, and missing transverse energy ((sic)(T)). The search uses data corresponding to 2.0 fb(-1) of integrated luminosity from p (p) over bar collisions at a center-of-mass energy of root s = 1.96 TeV, collected with the CDF II detector at the Fermilab Tevatron. From 6.697 47 x 10(6) events with a photon candidate with transverse energy E(T) > 25 GeV, we find 617 events with (sic)(T) > 25 GeV and two or more jets with E(T) > 15 GeV, at least one identified as originating from a b quark, versus an expectation of 607 +/- 113 events. Increasing the requirement on (sic)(T) to 50 GeV, we find 28 events versus an expectation of 30 +/- 11 events. We find no indications of non-standard-model phenomena.
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- 2009
18. Swimming Pool Water in Mafraq City in Northern Jordan: Quality Evaluation
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Sura Taha Al-Harahsheh
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swimming pools, water quality, residual chlorine, total organic carbon, trihalomethane, total coliforms ,Environmental effects of industries and plants ,TD194-195 ,Science (General) ,Q1-390 - Abstract
The objective of this study is to examine the physical, chemical and biological characteristics of swimming pool water in Mafraq city, north of Jordan and the overall quality of the used water. Three public swimming pools were selected from Mafraq city [Areef Pool (SW1), Teachers Club Pool (SW2) and Anakeel Pool (SW3)] to analyze the physical, chemical and biological properties of their water as well as determine their compliance with the Jordanian Standards for Swimming Pools Water. Sampling was carried out weekly for eight successive weeks between July and August 2019 before bathing (after disinfection) and after bathing and analysed in Al al-Bayt University and Ministry of Environment laboratories. The parameters used to evaluate the quality of water in swimming pools were temperature, pH, electrical conductivity (EC), dissolved oxygen (DO), residual chlorine (Cl2), total organic carbon (TOC), trihalomethanes (THM), major cations and anions, selected heavy metals, and total coliform bacteria, E. coli and Pseudomonas. Most of the physical and chemical parameters analysed were within the recommended limit except for pH and EC. Residual chlorine exceeded the permissible limits in SW3 before and after bathing, recording mean values of pH, EC (4.3 ± 0.25 - 4.33 ± 0.44), (2314 ± 343 - 2453 ± 460), respectively. The dissolved oxygen was less than the recommended limit. Total coliforms, E. coli and Pseudomonas counts were < 1 before and after bathing in all the samples.
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- 2021
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19. A clinical checklist for fragile X syndrome: screening of Thai boys with developmental delay of unknown cause
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Limprasert, P., Vasiknanonte, P., Jaruratanasirikul, S., Hutcha Sriplung, Ruangdaraganon, N., Sura, T., and Sriwongpanich, N.
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Male ,Adolescent ,Developmental Disabilities ,Incidence ,Infant ,RNA-Binding Proteins ,Nerve Tissue Proteins ,Thailand ,Polymerase Chain Reaction ,Risk Assessment ,Blotting, Southern ,Fragile X Mental Retardation Protein ,Logistic Models ,Fragile X Syndrome ,Humans ,Genetic Testing ,Child - Abstract
The aim of this study was to determine a cost-effective clinical checklist for fragile X syndrome (FXS) screening in a Thai male pediatric population with developmental delay of unknown cause. We studied 179 non-FXS male patients and 27 FXS patients from 18 families (ageor = 15 years). A six-item clinical checklist was used including family history (FH), long and narrow face (F), prominent and large ears (E), attention deficit/hyperactivity (AH), autistic-like behavior (AT) and testicular volume (T). These were scored as 0 if absent, 1 if borderline, and 2 if present. All patients were tested by using PCR and/or southern blot for the FMR1 gene. We used a logistic regression model from a computer program to analyze the data (Stata, version 5.0). We used logistic regression with cluster in the same family (average score) to eliminate bias from the related FXS cases. We found that a five-item checklist, 2FH + F + 0.5E + 2AH + T = total score, was the best model. When we used this clinical checklist with a threshold of total score of 4, 78.7 per cent of the screened cases with total scoresor = 4 could be eliminated as negative cases. In addition, all positive FXS cases had total scores4. We propose this five-item model for FXS screening in clinical pediatric practice, particularly from Asian population settings.
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- 2001
20. Prevalence and clinical characteristics of fragile X syndrome at child development clinic, Ramathibodi Hospital
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Ruangdaraganon N, Pornprot Limprasert, Sura T, Sombuntham T, Sriwongpanich N, and Kotchabhakdi N
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Male ,Adolescent ,Genetic Counseling ,Thailand ,Ambulatory Care Facilities ,Sampling Studies ,Age Distribution ,Hospitals, Urban ,Child, Preschool ,Fragile X Syndrome ,Intellectual Disability ,Prevalence ,Humans ,Mass Screening ,Female ,Sex Distribution ,Child - Abstract
Fragile X syndrome, the most common cause of inherited mental retardation, is an X-linked genetic disorder caused by an expanded CGG repeat in the fragile X mental retardation 1 gene. It is characterized by mental retardation, behavioral features, and physical features, such as a long face with large protruding ears and macro-orchidism. A screening for the syndrome was conducted in a representative sample of pediatric patients, who had developmental delay or mental retardation with unknown cause, at the Child Development Clinic, Ramathibodi Hospital. The DNA test was performed on all patients using PCR and southern blot techniques. Five positive cases were detected from 114 screened subjects, and more four cases confirmed among other family members. Two of five positive families initially denied a family history of mental retardation. Among 9 cases of fragile X syndrome, four had hyperactivity and two had autistic like behavior. More than half had rather a long face or prominent ears. Three boys had macro-orchidism.
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- 2000
21. P2-285 Environmental cadmium exposure and blood pressure in the general population
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Sirivarasai, J., primary, Kaojarern, S., additional, Chansirikarnjana, S., additional, Sura, T., additional, Krairit, O., additional, Chunhabundit, R., additional, Chanprasertyothin, S., additional, Chotvitayataragorn, S., additional, and Prasanatikom, W., additional
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- 2011
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22. ChemInform Abstract: Cope Rearrangements in the Benzo(b)thiophene Series.
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SURA, T. P., primary and MACDOWELL, D. W. H., additional
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- 2010
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23. ChemInform Abstract: An Improved Synthesis of 8-Bromo-2′-deoxyguanosine.
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GANNETT, P. M., primary and SURA, T. P., additional
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- 2010
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24. Abstract: P896 ASSOCIATION OF CHOLESTERYL ESTER TRANSFER PROTEIN TAQ1B POLYMORPHISM AND CORONARY ARTERY DISEASE IN THAIS
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Warodomwichit, D, primary, Ordovas, J, additional, Jongjirasiri, S, additional, Laothamatas, J, additional, Sura, T, additional, Yamwong, S, additional, Busabaratana, M, additional, Pingsuthiwong, S, additional, Yingchoncharoen, T, additional, Komindr, S, additional, and Sritara, P, additional
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- 2009
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25. Genome-wide SNP-based linkage analysis of tuberculosis in Thais
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Mahasirimongkol, S, primary, Yanai, H, additional, Nishida, N, additional, Ridruechai, C, additional, Matsushita, I, additional, Ohashi, J, additional, Summanapan, S, additional, Yamada, N, additional, Moolphate, S, additional, Chuchotaworn, C, additional, Chaiprasert, A, additional, Manosuthi, W, additional, Kantipong, P, additional, Kanitwittaya, S, additional, Sura, T, additional, Khusmith, S, additional, Tokunaga, K, additional, Sawanpanyalert, P, additional, and Keicho, N, additional
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- 2008
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26. A haplotype of the human CXCR1 gene protective against rapid disease progression in HIV-1 + patients
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Vasilescu, A., primary, Terashima, Y., additional, Enomoto, M., additional, Heath, S., additional, Poonpiriya, V., additional, Gatanaga, H., additional, Do, H., additional, Diop, G., additional, Hirtzig, T., additional, Auewarakul, P., additional, Lauhakirti, D., additional, Sura, T., additional, Charneau, P., additional, Marullo, S., additional, Therwath, A., additional, Oka, S., additional, Kanegasaki, S., additional, Lathrop, M., additional, Matsushima, K., additional, Zagury, J.-F., additional, and Matsuda, F., additional
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- 2007
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27. DETECTION OF SOME BIOFILM GENES RELATED WITH MULTIDRUG-RESISTANT IN ACINOBACTER BAUMANNII ISOLATED FROM CLINICAL ISOLATES
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Sura Talib, Thanaa Abdulrahman, and Shatha Ali
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Medicine - Abstract
Background: Acinetobacter baumannii (A. baumanii) has recently emerged as a major pathogen causing nosocomial infections in patients admitted to intensive care units with a surprisingly rapid acquisition of antibiotic resistance. Objective: To study the rate of occurrence of A. baumanii in different clinical samples and to investigate the association between biofilm formation and presence of ompA and bap genes in multi-drug resistance isolates. Methods: A total of 150 clinical samples were collected from (blood, sputum, urine, wound swab) during a period from the first of October 2017 to the end of March 2018 from Al-Imamein Al-Kadhimein City, Central Teaching Hospital of Pediatrics, Welfare Children Protection in Medical City and Al-Yarmouk Teaching Hospital and tested against 14 antibiotics by disc diffusion method. Quantitative microtiter plate assay was done for detection of biofilm formation. Polymerase chain reaction (PCR) was performed to detect ompA and bap genes. Results: There were 75 A. baumanii isolated from different clinical samples as follows: 41 from blood, 13 from wound, 12 from sputum and 9 from urine. The results of antimicrobial susceptibility test showed, high rate of resistance to Aztronem (94.7%) followed by Cefotaxime (89.3%), Cefepim (86.7%), Meropinem (86.7%), Ceftriaxone (86.7%), Ceftazidime (85%), Gentamicin (85%), and Piperacillin (82.7%) respectively. Moderate - to - low rate of resistance to Ciprofloxacin (78%), Impenim (46.7%), Levofloxacin (46%), Amikacin (44%), Tigacycline (42.3%) and Colistin (44%). The detection of biofilm formation showed that (52%) of isolate produce biofilm and the prevalence of ompA gene was 86.7% while the prevalence of Bap-gene was 34.7%. Conclusion: High frequency of A. baumannii infection was observed in different hospitals in Baghdad. More than half of the isolates were biofilm producer and there is highly significant association between the presence of bap gene and the biofilm formation but not with ompA gene. Keywords: Acinetobacter baumannii, ompA, Bap, MD Citation: Talib SS, Abdulrahman TR, Ali SH. Detection of some biofilm genes related with multidrug-resistant in Acinobacter baumannii isolated from clinical isolates. Iraqi JMS. 2018; 16(4): 430-438. doi: 10.22578/IJMS.16.4.11
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- 2018
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28. Fever in uncomplicated Plasmodium falciparum malaria: randomized double-‘blind’ comparison of ibuprofen and paracetamol treatment
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Krishna, S., primary, Pukrittayakamee, S., additional, Supanaranond, W., additional, ter Kuile, F., additional, Ruprah, M., additional, Sura, T., additional, and White, N.J., additional
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- 1995
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29. A NOVEL MUTATION (NONSENSE β 127) IN EXON 3 OF THE β GLOBIN GENE PRODUCES A VARIABLE THALASSAEMIC PHENOTYPE
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Hall, G. W., primary, Franklin, I. M., additional, Sura, T., additional, and Thein, S. L., additional
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- 1991
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30. A novel δº mutation in cis with Hb Knossos: a study of different genetic interactions in three Egyptian families
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Olds, R. J., primary, Sura, T., additional, Jackson, B., additional, Wonke, B., additional, Hoffbrand, A. V., additional, and Thein, S. L., additional
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- 1991
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31. Urea Nitrate : A Reagent for Regioselective Nitration of Aromatic Amines.
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Sura, T. P., Ramana, M. M. V., and Kudav, N. A.
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- 1988
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32. Leber's Hereditary Optic Neuropathy in Thailand
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Chuenkongkaew, W. L., Lertrit, P., Poonyathalang, A., Sura, T., Atchaneeyasakul, L. o., and Suphavilai, R.
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- 2001
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33. Polymerase Chain Reaction for the Detection of Burkholderia pseudomallei
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Sura, T., Smith, M. D., Cowan, G. M., Walsh, A. L., White, N. J., and Krishna, S.
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- 1997
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34. Induction of p53 by the Concerted Actions of Aziridine and Quinone Moieties of Diaziquone
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Ngo, E. O., Nutter, L. M., Sura, T., and Gutierrez, P. L.
- Abstract
The biologic functions attributed to the nucleophosphoprotein p53 have been increasing in recent years. Some studies suggested that wild type p53 is responsible for cell cycle arrest brought about as a response to exposure of mammalian cells to DNA-damaging agents. This cell cycle arrest occurs in order for cells to repair the damaged macromolecules. Extensively damaged cells are also thought to undergo apoptosis via the p53-dependent or -independent signal transduction pathways. In this study, we investigated the ability of diaziridinylbenzoquinones to increase p53 levels in the human breast cancer cell line MCF-7. Diaziquone (AZQ), an anticancer agent, and its derivatives, diaziridinequinone (DZQ) and methyldiaziridinequinone (MeDZQ), induced p53 in a dose- and time-dependent manner as measured by the electrophoretic mobility shift assay. Wild type p53 induction by AZQ was suppressed when DT-diaphorase activity was inhibited by pretreating the cells with dicumarol. Aside from their potent alkylating activity, these agents also undergo redox cycling as evidenced by oxygen consumption and the production of reactive oxygen species (ROS). Inhibition of ROS production by the antioxidant enzyme catalase reduced AZQ- and DZQ-mediated p53 induction by about 45%. Thiotepa, a non-quinone aziridine-containing agent, and 1,4-benzoquinone (p-BQ), a redox cycling quinone, increased p53 levels. The nonalkylator oxygen-radical-generating agent menadione (MD) caused p53 induction only when MCF-7 cells were allowed to recover in drug-free media. On the basis of these data, we propose that the bioreductive activation of AZQ is a prerequisite for p53 induction. Moreover, the induction of p53 by AZQ requires both the quinone and the aziridine moieties of the AZQ molecule. Although AZQ and its analogues increased p53 levels in MCF-7 cells, p53 induction in these cells may not be responsible for the apoptosis seen upon treatment of MCF-7 cells with these agents. The uncoupling of p53 induction and apoptosis is evidenced by the generation of nucleosomal DNA laddering in aziridinequinone-treated T47D cells, a breast cancer cell line bearing a p53 mutation.
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- 1998
35. Molecular screening for fragile X syndrome in Thailand
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Pornprot Limprasert, Ruangdaraganon N, Sura T, Vasiknanonte P, and Jinorose U
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Male ,Polymorphism, Genetic ,Adolescent ,Genetic Carrier Screening ,Infant ,Thailand ,Polymerase Chain Reaction ,Trinucleotide Repeats ,Child, Preschool ,Fragile X Syndrome ,Mutation ,Humans ,Female ,Genetic Testing ,Child - Abstract
Fragile X syndrome (FXS) is the most common form of inherited mental retardation. We screened for FXS in 237 Thai males (ageor = 15 years) with developmental delay of unknown cause. We found 16 (6.8%) to have FXS using standard molecular analysis. Wc then studied the extended families of these 16 FXS subjects and 4 other independently ascertained FXS cases. We found that there were at least 35 affected males and 8 affected females. In addition we found that there were at least 31 premutation carrier females and 4 premutation males. The CGG repeats numbers in these premutation individuals ranged from 60 to 125. By comparison, the normal CGG repeats were 19-50 with a heterozygosity of 67.2% in 337 randomly selected males. This study providcs insight into the high incidence of FXS in developmentally delayed Thai males and points the way toward the means of prevention of mental retardation by genetic counseling and prenatal diagnosis.
36. Association of estrogen receptor-alpha single-nucleotide polymorphism (codon 594 G-->A) and Thai patients affected by knee osteoarthritis
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Tawonsawatruk, T., Objoon Trachoo, Channoom, T., Sura, T., Eu-Ahsunthornwattana, J., Woratanarat, P., and Wajanavisit, W.
37. Noonan syndrome, metabolic syndrome and stroke-in-the-young: Coincidence, causal or contribution?
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Jakris Eu-ahsunthornwattana, Trachoo, O., Dejsuphong, D., Tunteeratum, A., Srichan, K., and Sura, T.
38. ChemInform Abstract: Urea Nitrate (II): A Reagent for Regioselective Nitration of Aromatic Amines (I), (IV).
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SURA, T. P., primary, RAMANA, M. M. V., additional, and KUDAV, N. A., additional
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- 1989
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39. A genetic association study between growth differentiation factor 5 (GDF 5) polymorphism and knee osteoarthritis in Thai population
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Sura Thanyachai, Trachoo Objoon, Pingsuthiwong Sarinee, Changthong Theeraroj, Tawonsawatruk Tulyapruek, and Wajanavisit Wiwat
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Osteoarthritis ,Growth Differentiation Factor 5 ,GDF5 ,SNP ,RFLP ,Thais ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Objective Osteoarthritis (OA) is a multi-factorial disease and genetic factor is one of the important etiologic risk factors. Various genetic polymorphisms have been elucidated that they might be associated with OA. Recently, several studies have shown an association between Growth Differentiation Factor 5(GDF5) polymorphism and knee OA. However, the role of genetic predisposing factor in each ethnic group cannot be replicated to all, with conflicting data in the literatures. Therefore, the aim of this study was to investigate the association between GDF5 polymorphism and knee OA in Thai population. Materials and Methods One hundred and ninety three patients aged 54-88 years who attended Ramathibodi Hospital were enrolled. Ninety cases with knee OA according to American College of Rheumatology criteria and one hundred and three cases in control group gave informed consent. Blood sample (5 ml) were collected for identification of GDF5 (rs143383) single nucleotide polymorphism by PCR/RFLP according to a standard protocol. This study protocol was approved by the Ethics Committee on human experimentation of Ramathibodi Hospital Faculty of Medicine, Mahidol University. Odds ratios (OR) and 95% confidence intervals were calculated for the risk of knee OA by genotype (TT, TC and CC) and allele (T/C) analyses. Results The baseline characteristics between two groups including job, smoking and activity were not different, except age and BMI. The entire cases and controls were in Hardy-Weinberg equilibrium (p > 0.05). The OA knee group (n = 90) had genotypic figure which has shown by TT 42.2% (n = 38), TC 45.6% (n = 41) and CC 12% (n = 11), whereas the control group (n = 103) revealed TT 32% (n = 33), TC 45.6% (n = 47), and CC 22.3% (n = 23), respectively. Genotypic TT increased risk of knee OA as compared to CC [OR = 2.41 (P = 0.04, 95%CI = 1.02-5.67)]. In the allele analysis, the T allele was found to be significantly associated with knee OA [OR = 1.53 (P = 0.043, 95%CI = 1.01-2.30)]. Conclusion These data suggested that GDF5 polymorphism has an association with knee OA in Thai ethnic. This finding also supports the hypothesis that OA has an important genetic component in its etiology, and GDF5 protein might play important role in the pathophysiology of the disease.
- Published
- 2011
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40. ChemInform Abstract: An Improved Synthesis of 8-Bromo-2′-deoxyguanosine.
- Author
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GANNETT, P. M. and SURA, T. P.
- Published
- 1994
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41. ChemInform Abstract: Cope Rearrangements in the Benzo(b)thiophene Series.
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SURA, T. P. and MACDOWELL, D. W. H.
- Published
- 1993
- Full Text
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42. Genetic Polymorphism of Zinc Transporter-8 Gene (SLC30A8), Serum Zinc Concentrations, and Proteome Profiles Related to Type 2 Diabetes in Elderly.
- Author
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Sirivarasai J, Tristitworn P, Shantavasinkul PC, Roytrakul S, Chansirikarnjana S, Ruangritchankul S, Chanprasertyothin S, Charernwat P, Panpunuan P, Sura T, and Sritara P
- Abstract
Background and Aims : Older adults are particularly susceptible to type 2 diabetes mellitus (T2DM) due to factors such as age-related insulin resistance, decreased physical activity, and deficiency of micronutrients, especially zinc. Studies have suggested that the risk allele of the zinc transporter 8 gene (SLC30A8) single-nucleotide poly-morphism (SNP) rs13266634 may contribute to T2DM susceptibility in addition to the complex protein interactions and alterations in the protein expressions and modifications associated with T2DM. This study was implemented to study the associations between SLC30A8 polymorphism, serum zinc levels, and the profiles of proteins differentially expressed in nondiabetic ( n = 116) and prediabetic/diabetic ( n = 149) subjects. Methods : SNP genotyping using TaqMan
® assay and proteomic analysis by LC-MS/MS were performed in each group. Results : The results showed a higher risk of diabetes in individuals with the risk genotype CC accompanied by a low serum zinc level than in those with other genotypes. Profiles of proteins differentially expressed between the groups were identified and shown to be particularly associated with zinc-related functions, zinc transporter 8, and glucose metabolism. Proteins exclusively expressed in prediabetes/diabetes were assigned to a Reactome pathway related to zinc transporter and insulin processing. Conclusions : Our findings suggest that individuals carrying at least one copy of SLC30A8 rs13266634 accompanied by a low serum zinc level might be susceptible to T2DM, which could be due to alterations in insulin signaling and zinc metabolism. Understanding this relationship deepens our understanding of the genetic and molecular mechanisms underlying T2DM risk, offering potential targets for therapeutic intervention and prevention strategies.- Published
- 2025
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43. Investigating common mutations in ATP7B gene and the prevalence of Wilson's disease in the Thai population using population-based genome-wide datasets.
- Author
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Own-Eium P, Dejsuphong D, Vathesatogkit P, Sritara P, Sura T, Aekplakorn W, Suktitipat B, and Eu-Ahsunthornwattana J
- Subjects
- Female, Humans, Male, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Polymorphism, Single Nucleotide, Prevalence, Southeast Asian People genetics, Thailand epidemiology, Copper-Transporting ATPases genetics, Gene Frequency, Hepatolenticular Degeneration genetics, Hepatolenticular Degeneration epidemiology, Mutation
- Abstract
Wilson's disease (WD) is a rare metabolic disorder caused by variations in the ATP7B gene. It usually manifests hepatic, neurologic, and psychiatric symptoms due to excessive copper accumulation. The prevalence of WD and its common variants differ across populations. This study aimed to examine these aspects of WD within the Thai population, where information has been limited. We reviewed ClinVar and the Wilson Disease Mutation Database, organizing variants classified as pathogenic or likely pathogenic in one or both databases as "relaxed" and "strict" lists. Allele frequencies were estimated from genotyping array data (Asian Screening Array: ASA; Illumina Corp, CA) of 6291 Thai subjects, which also underwent genotype imputation. The prevalence of WD in the Thai population was estimated assuming Hardy-Weinberg Equilibrium. The strict list yielded a prevalence of 1/24,128 (carrier frequency=1/78), while the relaxed list yielded a prevalence of 1/9971 (carrier frequency=1/50). The most common WD variants in Thai subjects were c.2333 G > T, c.3443 T > C, and c.813 C > A from the strict list, and c.3316 G > A and c.2605 G > A from the relaxed list. The ASA chip covered approximately 59 and 24% of WD variants from the strict and relaxed lists, respectively. Based on the estimated prevalence, a carrier screening program for WD is not currently required in Thailand. However, as genotyping services become more affordable and accessible, such a program would facilitate early identification, treatment, and prevention of WD., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to The Japan Society of Human Genetics.)
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- 2025
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44. Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals.
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Piriyapongsa J, Chumnumwat S, Kaewprommal P, Triparn K, Suvichapanich S, Udomsinprasert W, Jittikoon J, Shaw PJ, Nakhonsri V, Ngamphiw C, Wangkumhang P, Pithukpakorn M, Roothumnong E, Wiboonthanasarn S, Kuptanon C, Jinawath N, Porntaveetus T, Suriyaphol P, Viprakasit V, Pisitkun P, Kantaputra P, Tim-Aroon T, Wattanasirichaigoon D, Sura T, Suphapeetiporn K, Sripichai O, Khongphatthanayothin A, Fucharoen S, Ngamphaiboon N, Shotelersuk V, Mahasirimongkol S, and Tongsima S
- Subjects
- Female, Humans, Male, Alleles, Polymorphism, Single Nucleotide, Southeast Asian People, Thailand, Whole Genome Sequencing, Gene Frequency, HLA Antigens genetics, Pharmacogenetics methods
- Abstract
Inter-individual variability in drug responses is significantly influenced by genetic factors, underscoring the importance of population-specific pharmacogenomic studies to optimize clinical outcomes. In this study, we analyzed whole genome sequencing data from 949 unrelated Thai individuals and conducted an in-depth analysis of 3239 genes involved in drug pharmacokinetics, pharmacodynamics, or immune-mediated adverse drug reactions. We identified 43 single nucleotide polymorphisms (SNPs), 134 diplotypes, and 15 human leukocyte antigen (HLA) alleles, all with moderate to high clinical significance. On average, each Thai individual carried 14 SNPs, one to two HLA alleles, and six diplotypes with actionable phenotypic associations. Clinically important diplotypes were present in over 20% of individuals for seven genes (CYP2A6, CYP2B6, CYP2C19, CYP3A5, NAT2, SLCO1B1, and VKORC1). In addition, clinically significant SNPs with allele frequencies exceeding 20% were identified among 15 genes, including VKORC1, CYP4F2, and ABCG2. We also identified 21,211 potentially deleterious variants among 3239 genes. Of these variants, 3746 were novel. The comprehensive dataset from this study serves as a valuable resource of pharmacogenomic variants in the Thai population, which will facilitate the development of personalized drug therapies and enhance patient care in Thailand., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
- Published
- 2024
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45. MamF-like proteins are distant Tic20 homologs involved in organelle assembly in bacteria.
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Paulus A, Ahrens F, Schraut A, Hofmann H, Schiller T, Sura T, Becher D, and Uebe R
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- Organelles metabolism, Protein Transport, Organelle Biogenesis, Bacterial Proteins metabolism, Bacterial Proteins genetics, Phylogeny, Magnetosomes metabolism, Magnetosomes genetics, Magnetosomes ultrastructure, Magnetospirillum metabolism, Magnetospirillum genetics
- Abstract
Organelle-specific protein translocation systems are essential for organelle biogenesis and maintenance in eukaryotes but thought to be absent from prokaryotic organelles. Here, we demonstrate that MamF-like proteins are crucial for the formation and functionality of bacterial magnetosome organelles. Deletion of mamF-like genes in the Alphaproteobacterium Magnetospirillum gryphiswaldense results in severe defects in organelle positioning, biomineralization, and magnetic navigation. These phenotypic defects result from the disrupted targeting of a subset of magnetosomal proteins that contain C-terminal glycine-rich integral membrane domains. Phylogenetic analyses reveal an ancient evolutionary link between MamF-like proteins and plastidial Tic20. Our findings redefine the molecular roles of MamF-like proteins and suggest that organelle-specific protein targeting systems also play a role in bacterial organelle formation., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
- Published
- 2024
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46. Thai pharmacogenomics database -2 (TPGxD-2) sequel to TPGxD-1, analyzing genetic variants in 26 non-VIPGx genes within the Thai population.
- Author
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John S, Klumsathian S, Own-Eium P, Charoenyingwattana A, Eu-Ahsunthornwattana J, Sura T, Dejsuphong D, Sritara P, Vathesatogkit P, Thongchompoo N, Thabthimthong W, Teerakulkittipong N, Chantratita W, and Sukasem C
- Subjects
- Humans, Male, Alleles, Genetic Variation, High-Throughput Nucleotide Sequencing methods, Pharmacogenomic Variants, Southeast Asian People, Thailand, Databases, Genetic, Pharmacogenomic Testing methods
- Abstract
Next-generation sequencing (NGS) has transformed pharmacogenomics (PGx), enabling thorough profiling of pharmacogenes using computational methods and advancing personalized medicine. The Thai Pharmacogenomic Database-2 (TPGxD-2) analyzed 948 whole genome sequences, primarily from the Electricity Generating Authority of Thailand (EGAT) cohort. This study is an extension of the previous Thai Pharmacogenomic Database (TPGxD-1) and specifically focused on 26 non-very important pharmacogenes (VIPGx) genes. Variant calling was conducted using Sentieon (version 201808.08) following GATK's best workflow practices. We then annotated variant call format (VCF) files using Golden Helix VarSeq 2.5.0. Star allele analysis was performed with Stargazer v2.0.2, which called star alleles for 22 of 26 non-VIPGx genes. The variant analysis revealed a total of 14,529 variants in 26 non-VIPGx genes, with TBXAS1 had the highest number of variants (27%). Among the 14,529 variants, 2328 were novel (without rsID), with 87 identified as clinically relevant. We also found 56 known PGx variants among the known variants (n = 12,201), with UGT2B7 (19.64%), CYP1B1 (8.9%), SLCO2B1 (8.9%), and POR (8.9%) being the most common. We reported a high frequency of intermediate metabolizers (IMs) in CYP2F1 (34.6%) and CYP4A11 (8.6%), and a high frequency of decreased functional alleles in POR (53.9%) and SLCO1B3 (34.9%) genes. This study enhances our understanding of pharmacogenomic profiling of 26 non-VIPGx genes of notable clinical importance in the Thai population. However, further validation with additional computational and reference genotyping methods is necessary, and novel alleles identified in this study should undergo further orthogonal validation., (© 2024 The Author(s). Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)
- Published
- 2024
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47. A comprehensive Thai pharmacogenomics database (TPGxD-1): Phenotype prediction and variants identification in 942 whole-genome sequencing data.
- Author
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John S, Klumsathian S, Own-Eium P, Eu-Ahsunthornwattana J, Sura T, Dejsuphong D, Sritara P, Vathesatogkit P, Thongchompoo N, Thabthimthong W, Teerakulkittipong N, Chantratita W, and Sukasem C
- Subjects
- Humans, Thailand, Databases, Genetic, Pharmacogenomic Variants, Male, Female, Alleles, Southeast Asian People, Whole Genome Sequencing methods, Phenotype, Pharmacogenetics methods
- Abstract
Computational methods analyze genomic data to identify genetic variants linked to drug responses, thereby guiding personalized medicine. This study analyzed 942 whole-genome sequences from the Electricity Generating Authority of Thailand (EGAT) cohort to establish a population-specific pharmacogenomic database (TPGxD-1) in the Thai population. Sentieon (version 201808.08) implemented the GATK best workflow practice for variant calling. We then annotated variant call format (VCF) files using Golden Helix VarSeq 2.5.0 and employed Stargazer v2.0.2 for star allele analysis. The analysis of 63 very important pharmacogenes (VIPGx) reveals 85,566 variants, including 13,532 novel discoveries. Notably, we identified 464 known PGx variants and 275 clinically relevant novel variants. The phenotypic prediction of 15 VIPGx demonstrated a varied metabolic profile for the Thai population. Genes like CYP2C9 (9%), CYP3A5 (45.2%), CYP2B6 (9.4%), NUDT15 (15%), CYP2D6 (47%) and CYP2C19 (43%) showed a high number of intermediate metabolizers; CYP3A5 (41%), and CYP2C19 (9.9%) showed more poor metabolizers. CYP1A2 (52.7%) and CYP2B6 (7.6%) were found to have a higher number of ultra-metabolizers. The functional prediction of the remaining 10 VIPGx genes reveals a high frequency of decreased functional alleles in SULT1A1 (12%), NAT2 (84%), and G6PD (12%). SLCO1B1 reports 20% poor functional alleles, while PTGIS (42%), SLCO1B1 (4%), and TPMT (5.96%) showed increased functional alleles. This study discovered new variants and alleles in the 63 VIPGx genes among the Thai population, offering insights into advancing clinical pharmacogenomics (PGx). However, further validation is needed using other computational and genotyping methods., (© 2024 The Author(s). Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)
- Published
- 2024
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48. Alpha-glucans from bacterial necromass indicate an intra-population loop within the marine carbon cycle.
- Author
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Beidler I, Steinke N, Schulze T, Sidhu C, Bartosik D, Zühlke MK, Martin LT, Krull J, Dutschei T, Ferrero-Bordera B, Rielicke J, Kale V, Sura T, Trautwein-Schult A, Kirstein IV, Wiltshire KH, Teeling H, Becher D, Bengtsson MM, Hehemann JH, Bornscheuer UT, Amann RI, and Schweder T
- Subjects
- Phytoplankton metabolism, Biomass, Diatoms metabolism, Eutrophication, Carbon metabolism, Zooplankton metabolism, Polysaccharides, Bacterial metabolism, Polysaccharides, Bacterial chemistry, Bacterial Proteins metabolism, Carbon Cycle, Glucans metabolism, Bacteria metabolism, Bacteria classification, Bacteria genetics
- Abstract
Phytoplankton blooms provoke bacterioplankton blooms, from which bacterial biomass (necromass) is released via increased zooplankton grazing and viral lysis. While bacterial consumption of algal biomass during blooms is well-studied, little is known about the concurrent recycling of these substantial amounts of bacterial necromass. We demonstrate that bacterial biomass, such as bacterial alpha-glucan storage polysaccharides, generated from the consumption of algal organic matter, is reused and thus itself a major bacterial carbon source in vitro and during a diatom-dominated bloom. We highlight conserved enzymes and binding proteins of dominant bloom-responder clades that are presumably involved in the recycling of bacterial alpha-glucan by members of the bacterial community. We furthermore demonstrate that the corresponding protein machineries can be specifically induced by extracted alpha-glucan-rich bacterial polysaccharide extracts. This recycling of bacterial necromass likely constitutes a large-scale intra-population energy conservation mechanism that keeps substantial amounts of carbon in a dedicated part of the microbial loop., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
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49. Pressure injury treatment by intermittent electrical stimulation (PROTECT-2): protocol for a multicenter randomized clinical trial.
- Author
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Donaldson C, de Abreu MG, Mascha EJ, Rowbottom J, Harvester E, Khanna A, Sura T, Sessler DI, Patarroyo FR, Gulluoglu A, Zajic P, Chauhan U, Essber H, and Kurz A
- Subjects
- Humans, Treatment Outcome, Time Factors, Wound Healing, Pressure Ulcer therapy, Electric Stimulation Therapy methods, Multicenter Studies as Topic, Randomized Controlled Trials as Topic
- Abstract
Background: Pressure ulcers account for a substantial fraction of hospital-acquired pathology, with consequent morbidity and economic cost. Treatments are largely focused on preventing further injury, whereas interventions that facilitate healing remain limited. Intermittent electrical stimulation (IES) increases local blood flow and redistributes pressure from muscle-bone interfaces, thus potentially reducing ulcer progression and facilitating healing., Methods: The Pressure Injury Treatment by Intermittent Electrical Stimulation (PROTECT-2) trial will be a parallel-arm multicenter randomized trial to test the hypothesis that IES combined with routine care reduces sacral and ischial pressure injury over time compared to routine care alone. We plan to enroll 548 patients across various centers. Hospitalized patients with stage 1 or stage 2 sacral or ischial pressure injuries will be randomized to IES and routine care or routine care alone. Wound stage will be followed until death, discharge, or the development of an exclusion criteria for up to 3 months. The primary endpoint will be pressure injury score measured over time., Discussion: Sacral and ischial pressure injuries present a burden to hospitalized patients with both clinical and economic consequences. The PROTECT-2 trial will evaluate whether IES is an effective intervention and thus reduces progression of stage 1 and stage 2 sacral and ischial pressure injuries., Trial Registration: ClinicalTrials.gov NCT05085288 Registered October 20, 2021., (© 2024. The Author(s).)
- Published
- 2024
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50. MassSpecPreppy-An end-to-end solution for automated protein concentration determination and flexible sample digestion for proteomics applications.
- Author
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Reder A, Hentschker C, Steil L, Gesell Salazar M, Hammer E, Dhople VM, Sura T, Lissner U, Wolfgramm H, Dittmar D, Harms M, Surmann K, Völker U, and Michalik S
- Subjects
- Proteins analysis, Workflow, Software, Humans, Animals, Peptides analysis, Peptides chemistry, Proteomics methods
- Abstract
In proteomics, fast, efficient, and highly reproducible sample preparation is of utmost importance, particularly in view of fast scanning mass spectrometers enabling analyses of large sample series. To address this need, we have developed the web application MassSpecPreppy that operates on the open science OT-2 liquid handling robot from Opentrons. This platform can prepare up to 96 samples at once, performing tasks like BCA protein concentration determination, sample digestion with normalization, reduction/alkylation and peptide elution into vials or loading specified peptide amounts onto Evotips in an automated and flexible manner. The performance of the developed workflows using MassSpecPreppy was compared with standard manual sample preparation workflows. The BCA assay experiments revealed an average recovery of 101.3% (SD: ± 7.82%) for the MassSpecPreppy workflow, while the manual workflow had a recovery of 96.3% (SD: ± 9.73%). The species mix used in the evaluation experiments showed that 94.5% of protein groups for OT-2 digestion and 95% for manual digestion passed the significance thresholds with comparable peptide level coefficient of variations. These results demonstrate that MassSpecPreppy is a versatile and scalable platform for automated sample preparation, producing injection-ready samples for proteomics research., (© 2023 The Authors. PROTEOMICS published by Wiley‐VCH GmbH.)
- Published
- 2024
- Full Text
- View/download PDF
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