1,398 results on '"Yang L"'
Search Results
2. Integrated Impacts of Building Space Ratio and Wind Direction on Pedestrian-level Wind Environment around High-rise Buildings with Equilateral Triangle Arrangement.
- Author
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Cui, H., Ma, M., Li, J., Yang, L., Han, Z., and Liu, Q.
- Subjects
WIND speed ,BUILDING layout ,HUMAN settlements ,HUMAN comfort ,SPACE environment - Abstract
The issue of pedestrian-level wind environments around high-rise buildings is closely related to the comfort and safety of human settlements. In this paper, we study the effects of different wind direction angles and spacing ratios on the wind environment at pedestrian heights around buildings arranged in an equilateral triangle configuration. Three-dimensional steady-state numerical simulation was employed, with the standard k-ε model selected as the turbulence model. Wind speed ratios and different area ratio parameters are used to quantitatively express the degree and range of influence of wind speed by buildings. The results show that the maximum wind speed ratio at the corner of a building is greatly affected by the wind direction angle, with 45°, 135°, and 157.5° being the unfavorable wind direction angles. Conversely, the area ratio of different areas is greatly affected by the spacing ratio. As the spacing ratio increases, the mutual interference effect between buildings weakens, resulting in a better pedestrian wind environment. Owing to the unique layout of the building group, different degrees of ventilation corridors are formed among the three buildings. The wind speed amplification effect in the corridors is more significant, and the areas with poor wind environments are concentrated in these corridors. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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3. Adherence to guidelines and central-line-associated bloodstream infection occurrence during insertion and maintenance of intravascular catheters: evidence from 20 tertiary hospitals.
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Zang, F., Liu, J., Wen, Y., Jin, X., Yang, Y., Li, L., Di, J., Tang, H., Wu, J., Liu, H., Huang, J., Zhang, J., Li, S., Yang, L., Wang, X., Geng, S., Xing, H., Xie, J., Hua, J., and Xue, X.
- Abstract
To investigate adherence to intravascular catheter (IVC) insertion and maintenance guidelines in Chinese tertiary hospitals. A cross-sectional questionnaire survey of adult inpatients with IVC placements was conducted from July to September 2022 in 20 tertiary hospitals in China. One clinical staff member from each department in each hospital was assigned to participate in the survey. Questionnaires were uniformly collected and reviewed after three months. This study included 1815 cases (62.69%) of central venous catheter, 471 cases (16.27%) of peripherally inserted central catheter, 461 cases (15.92%) of PORT, and 147 cases (5.08%) of haemodialysis catheter insertions. Statistically significant differences in compliance were observed across the four IVC types, specifically in relation to the insertion checklist, standard operating procedure, and insertion environment (P <0.05). Practice adherence during IVC maintenance differed significantly across the four IVC types in aspects such as availability of IVC maintenance verification forms, daily scrubbing of the catheterized patients, and catheter connection methods (P <0.05). A total of 386 (13.34%) patients developed fever, 1086 (37.53%) were treated with therapeutic antibiotics, 16 (0.55%) developed central-line-associated bloodstream infections, two (0.07%) developed local skin infections, and six (0.21%) developed deep vein thrombosis. Adherence to guidelines regarding insertion and maintenance differed across the four IVC types; there is a gap between the recommended measures and the actual operation of the guidelines. Therefore, it is necessary to further enhance training and develop checklists to prevent central-line-associated bloodstream infections. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Meta-analysis Driven Strain Design for Mitigating Oxidative Stresses Important in Biomanufacturing.
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Phaneuf, PV, Kim, SH, Rychel, K, Rode, C, Beulig, F, Palsson, BO, and Yang, L
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- 2024
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5. Diamond-Like Carbon: A Surface for Extreme, High-Wear Environments.
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Sharifi, N., Smith, H., Madden, D., Kehoe, T., Wu, G., Yang, L., Welbourn, R. J. L., G Fernandez, E., and Clarke, S. M.
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- 2024
- Full Text
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6. TNFSF14 mediates the impact of docosahexaenoic acid on atopic dermatitis: a Mendelian randomization study.
- Author
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HUANG, X.-W., PANG, S.-W., YANG, L.-Z., HAN, T., CHEN, J.-M., HUANG, C.-W., LIAO, L., and XIE, P.-J.
- Abstract
OBJECTIVE: While current research suggests potential value for docosahexaenoic acid (DHA) in the prevention and management of atopic dermatitis (AD), the causal relationship between DHA and AD remains unclear, and the underlying mechanisms are not well understood. MATERIALS AND METHODS: To investigate the potential causal relationship between DHA and AD, as well as to explore potential mediating mechanisms, we employed the Mendelian randomization (MR) methods. To study these potential relationships, we conducted MR analysis using publicly available Genome-Wide Association Studies (GWAS) data. Effect estimates were computed using the random-effects inverse-variance weighted method. RESULTS: Our study demonstrates a negative correlation between DHA levels and AD risk (OR: 0.915, 95% CI: 0.858-0.975, p=0.007). Furthermore, in MR analysis using tumor necrosis factor ligand superfamily member 14 (TNFSF14) levels as an outcome, DHA levels also show a negative association with TNFSF14 levels (OR: 0.933, 95% CI: 0.879-0.990, p=0.022). Subsequently, we performed further analysis to explore the relationship between TNFSF14 and AD risk, revealing a positive correlation (OR: 1.069, 95% CI: 1.005-1.137, p=0.033). This suggests a potential mediating role of TNFSF14 in the impact of DHA on AD risk. CONCLUSIONS: In summary, our study employs MR analysis to offer genetic evidence indicating a potential role of DHA in reducing the risk of AD, as well as opening avenues for further in-depth investigation into potential mechanisms. These findings emphasize the importance of ongoing research in this field. [ABSTRACT FROM AUTHOR]
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- 2024
7. Diamond-Like Carbon: A Surface for Extreme, High-Wear Environments
- Author
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Sharifi, N., Smith, H., Madden, D., Kehoe, T., Wu, G., Yang, L., Welbourn, R. J. L., G Fernandez, E., and Clarke, S. M.
- Abstract
In this study, we present an in-depth characterization of a diamond-like carbon (DLC) film, using a range of techniques to understand the structure and chemistry of the film both in the interior and particularly at the DLC/air surface and DLC/liquid interface. The DLC film is found to be a combination of sp2and sp3carbon, with significant oxygen present at the surface. The oxygen seems to be present as OH groups, making the DLC somewhat hydrophilic. Quartz-Crystal Microbalance (QCM) isotherms and complementary neutron reflectivity data indicate significant adsorption of a model additive, bis(2-ethylhexyl) sulfosuccinate sodium salt (AOT) surfactant, onto the DLC from water solutions and indicate the adsorbed film is a bilayer. This initial study of the structure and composition of a model surfactant is intended to give a clearer insight into how DLC and additives function as antiwear systems.
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- 2024
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8. LHAASO-KM2A detector simulation using Geant4
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Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
- Abstract
KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for estimating detector performance and data analysis. It is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from a large number of detector units (>6000) with large altitude difference (30 m) and huge coverage (1.3 km2). In this paper, the design of the KM2A simulation code G4KM2A based on Geant4 is introduced. The process of G4KM2A is optimized mainly in memory consumption to avoid memory overflow. Some simplifications are used to significantly speed up the execution of G4KM2A. The running time is reduced by at least 30 times compared to full detector simulation. The particle distributions and the core/angle resolution comparison between simulation and experimental data of the full KM2A array are also presented, which show good agreement.
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- 2024
- Full Text
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9. Development of a novel score to predict probability of growth without growth hormone after resection of paediatric craniopharyngiomas: relative to tumour growth pattern
- Author
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Peng, J. X., Yang, L., Huang, G. L., Liu, Y., Zhang, S. C., Pan, J., and Qi, S. T.
- Abstract
Objective: Some patients with paediatric craniopharyngiomas (PCs) showed normal growth despite growth hormone deficiency, which is known as growth without GH (GWGH); however, its mechanism remains unclear. We aimed to develop a novel clinical score to predict the probability of GWGH in PCs. Methods: A total of 708 PC patients were prospectively enrolled from six hospitals, among which 431 patients were finally included. Data from four of the six hospitals (n= 325) were used to develop the innovative clinical score (ICS), which was further validated using the data from the other two hospitals (n= 106). To establish and validate the ICS, sequential logistic regression was used to analyse the clinical characteristics including tumour growth pattern and tumour size and so on. Furthermore, C-statistic was employed to calibrate the discriminatory ability of the established clinical score, while a calibration plot was adopted for further assessment. Results: The overall incidence of GWGH was 16.9% (73/431). The ICS ranged from 2 to 23, with an optimism-corrected C-statistic of 0.820, Furthermore, the optimism-corrected C-statistic of external validation was 0.835, indicating good discriminatory power and robustness of the clinical score. Additionally, no apparent overestimation or underestimation was observed in the calibration plots, which showed excellent calibration power of the clinical score. Conclusions: Based on tumour growth patterns and PC patients’ clinical characteristics, individualized surgical strategies were promising to achieve long-term effective management of PC patients. The ICS is valuable for the evaluation of probability of developing postoperative GWGH. Clinical trial registration: ClinicalTrials.gov ID: NCT00949156.
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- 2024
- Full Text
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10. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial
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Staplin, N, Haynes, R, Judge, PK, Wanner, C, Green, JB, Emberson, J, Preiss, D, Mayne, KJ, Ng, SYA, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Petrini, M, Seidi, S, Landray, MJ, Baigent, C, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Baigent, C, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brenner, S, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, Chamberlain, A, Chambers, J, Chan, CBT, Chan, JYM, Chan, YC, Chang, E, Chang, E, Chant, T, Chavagnon, T, Chellamuthu, P, Chen, F, Chen, J, Chen, P, Chen, TM, Chen, Y, Chen, Y, Cheng, C, Cheng, H, Cheng, MC, Cherney, D, Cheung, AK, Ching, CH, Chitalia, N, Choksi, R, Chukwu, C, Chung, K, Cianciolo, G, Cipressa, L, Clark, S, Clarke, H, Clarke, R, Clarke, S, Cleveland, B, Cole, E, Coles, H, Condurache, L, Connor, A, Convery, K, Cooper, A, Cooper, N, Cooper, Z, Cooperman, L, Cosgrove, L, Coutts, P, Cowley, A, Craik, R, Cui, G, Cummins, T, Dahl, N, Dai, H, Dajani, L, D'Amelio, A, Damian, E, Damianik, K, Danel, L, Daniels, C, Daniels, T, Darbeau, S, Darius, H, Dasgupta, T, Davies, J, Davies, L, Davis, A, Davis, J, Davis, L, Dayanandan, R, Dayi, S, Dayrell, R, De Nicola, L, Debnath, S, Deeb, W, Degenhardt, S, DeGoursey, K, Delaney, M, Deo, R, DeRaad, R, Derebail, V, Dev, D, Devaux, M, Dhall, P, Dhillon, G, Dienes, J, Dobre, M, Doctolero, E, Dodds, V, Domingo, D, Donaldson, D, Donaldson, P, Donhauser, C, Donley, V, Dorestin, S, Dorey, S, Doulton, T, Draganova, D, Draxlbauer, K, Driver, F, Du, H, Dube, F, Duck, T, Dugal, T, Dugas, J, Dukka, H, Dumann, H, Durham, W, Dursch, M, Dykas, R, Easow, R, Eckrich, E, Eden, G, Edmerson, E, Edwards, H, Ee, LW, Eguchi, J, Ehrl, Y, Eichstadt, K, Eid, W, Eilerman, B, Ejima, Y, Eldon, H, Ellam, T, Elliott, L, Ellison, R, Emberson, J, Epp, R, Er, A, Espino-Obrero, M, Estcourt, S, Estienne, L, Evans, G, Evans, J, Evans, S, Fabbri, G, Fajardo-Moser, M, Falcone, C, Fani, F, Faria-Shayler, P, Farnia, F, Farrugia, D, Fechter, M, Fellowes, D, Feng, F, Fernandez, J, Ferraro, P, Field, A, Fikry, S, Finch, J, Finn, H, Fioretto, P, Fish, R, Fleischer, A, Fleming-Brown, D, Fletcher, L, Flora, R, Foellinger, C, Foligno, N, Forest, S, Forghani, Z, Forsyth, K, Fottrell-Gould, D, Fox, P, Frankel, A, Fraser, D, Frazier, R, Frederick, K, Freking, N, French, H, Froment, A, Fuchs, B, Fuessl, L, Fujii, H, Fujimoto, A, Fujita, A, Fujita, K, Fujita, Y, Fukagawa, M, Fukao, Y, Fukasawa, A, Fuller, T, Funayama, T, Fung, E, Furukawa, M, Furukawa, Y, Furusho, M, Gabel, S, Gaidu, J, Gaiser, S, Gallo, K, Galloway, C, Gambaro, G, Gan, CC, Gangemi, C, Gao, M, Garcia, K, Garcia, M, Garofalo, C, Garrity, M, Garza, A, Gasko, S, Gavrila, M, Gebeyehu, B, Geddes, A, Gentile, G, George, A, George, J, Gesualdo, L, Ghalli, F, Ghanem, A, Ghate, T, Ghavampour, S, Ghazi, A, Gherman, A, Giebeln-Hudnell, U, Gill, B, Gillham, S, Girakossyan, I, Girndt, M, Giuffrida, A, Glenwright, M, Glider, T, Gloria, R, Glowski, D, Goh, BL, Goh, CB, Gohda, T, Goldenberg, R, Goldfaden, R, Goldsmith, C, Golson, B, Gonce, V, Gong, Q, Goodenough, B, Goodwin, N, Goonasekera, M, Gordon, A, Gordon, J, Gore, A, Goto, H, Goto, S, Goto, S, Gowen, D, Grace, A, Graham, J, Grandaliano, G, Gray, M, Green, JB, Greene, T, Greenwood, G, Grewal, B, Grifa, R, Griffin, D, Griffin, S, Grimmer, P, Grobovaite, E, Grotjahn, S, Guerini, A, Guest, C, Gunda, S, Guo, B, Guo, Q, Haack, S, Haase, M, Haaser, K, Habuki, K, Hadley, A, Hagan, S, Hagge, S, Haller, H, Ham, S, Hamal, S, Hamamoto, Y, Hamano, N, Hamm, M, Hanburry, A, Haneda, M, Hanf, C, Hanif, W, Hansen, J, Hanson, L, Hantel, S, Haraguchi, T, Harding, E, Harding, T, Hardy, C, Hartner, C, Harun, Z, Harvill, L, Hasan, A, Hase, H, Hasegawa, F, Hasegawa, T, Hashimoto, A, Hashimoto, C, Hashimoto, M, Hashimoto, S, Haskett, S, Hauske, SJ, Hawfield, A, Hayami, T, Hayashi, M, Hayashi, S, Haynes, R, Hazara, A, Healy, C, Hecktman, J, Heine, G, Henderson, H, Henschel, R, Hepditch, A, Herfurth, K, Hernandez, G, Hernandez Pena, A, Hernandez-Cassis, C, Herrington, WG, Herzog, C, Hewins, S, Hewitt, D, Hichkad, L, Higashi, S, Higuchi, C, Hill, C, Hill, L, Hill, M, Himeno, T, Hing, A, Hirakawa, Y, Hirata, K, Hirota, Y, Hisatake, T, Hitchcock, S, Hodakowski, A, Hodge, W, Hogan, R, Hohenstatt, U, Hohenstein, B, Hooi, L, Hope, S, Hopley, M, Horikawa, S, Hosein, D, Hosooka, T, Hou, L, Hou, W, Howie, L, Howson, A, Hozak, M, Htet, Z, Hu, X, Hu, Y, Huang, J, Huda, N, Hudig, L, Hudson, A, Hugo, C, Hull, R, Hume, L, Hundei, W, Hunt, N, Hunter, A, Hurley, S, Hurst, A, Hutchinson, C, Hyo, T, Ibrahim, FH, Ibrahim, S, Ihana, N, Ikeda, T, Imai, A, Imamine, R, Inamori, A, Inazawa, H, Ingell, J, Inomata, K, Inukai, Y, Ioka, M, Irtiza-Ali, A, Isakova, T, Isari, W, Iselt, M, Ishiguro, A, Ishihara, K, Ishikawa, T, Ishimoto, T, Ishizuka, K, Ismail, R, Itano, S, Ito, H, Ito, K, Ito, M, Ito, Y, Iwagaitsu, S, Iwaita, Y, Iwakura, T, Iwamoto, M, Iwasa, M, Iwasaki, H, Iwasaki, S, Izumi, K, Izumi, K, Izumi, T, Jaafar, SM, Jackson, C, Jackson, Y, Jafari, G, Jahangiriesmaili, M, Jain, N, Jansson, K, Jasim, H, Jeffers, L, Jenkins, A, Jesky, M, Jesus-Silva, J, Jeyarajah, D, Jiang, Y, Jiao, X, Jimenez, G, Jin, B, Jin, Q, Jochims, J, Johns, B, Johnson, C, Johnson, T, Jolly, S, Jones, L, Jones, L, Jones, S, Jones, T, Jones, V, Joseph, M, Joshi, S, Judge, P, Junejo, N, Junus, S, Kachele, M, Kadowaki, T, Kadoya, H, Kaga, H, Kai, H, Kajio, H, Kaluza-Schilling, W, Kamaruzaman, L, Kamarzarian, A, Kamimura, Y, Kamiya, H, Kamundi, C, Kan, T, Kanaguchi, Y, Kanazawa, A, Kanda, E, Kanegae, S, Kaneko, K, Kaneko, K, Kang, HY, Kano, T, Karim, M, Karounos, D, Karsan, W, Kasagi, R, Kashihara, N, Katagiri, H, Katanosaka, A, Katayama, A, Katayama, M, Katiman, E, Kato, K, Kato, M, Kato, N, Kato, S, Kato, T, Kato, Y, Katsuda, Y, Katsuno, T, Kaufeld, J, Kavak, Y, Kawai, I, Kawai, M, Kawai, M, Kawase, A, Kawashima, S, Kazory, A, Kearney, J, Keith, B, Kellett, J, Kelley, S, Kershaw, M, Ketteler, M, Khai, Q, Khairullah, Q, Khandwala, H, Khoo, KKL, Khwaja, A, Kidokoro, K, Kielstein, J, Kihara, M, Kimber, C, Kimura, S, Kinashi, H, Kingston, H, Kinomura, M, Kinsella-Perks, E, Kitagawa, M, Kitajima, M, Kitamura, S, Kiyosue, A, Kiyota, M, Klauser, F, Klausmann, G, Kmietschak, W, Knapp, K, Knight, C, Knoppe, A, Knott, C, Kobayashi, M, Kobayashi, R, Kobayashi, T, Koch, M, Kodama, S, Kodani, N, Kogure, E, Koizumi, M, Kojima, H, Kojo, T, Kolhe, N, Komaba, H, Komiya, T, Komori, H, Kon, SP, Kondo, M, Kondo, M, Kong, W, Konishi, M, Kono, K, Koshino, M, Kosugi, T, Kothapalli, B, Kozlowski, T, Kraemer, B, Kraemer-Guth, A, Krappe, J, Kraus, D, Kriatselis, C, Krieger, C, Krish, P, Kruger, B, Ku Md Razi, KR, Kuan, Y, Kubota, S, Kuhn, S, Kumar, P, Kume, S, Kummer, I, Kumuji, R, Küpper, A, Kuramae, T, Kurian, L, Kuribayashi, C, Kurien, R, Kuroda, E, Kurose, T, Kutschat, A, Kuwabara, N, Kuwata, H, La Manna, G, Lacey, M, Lafferty, K, LaFleur, P, Lai, V, Laity, E, Lambert, A, Landray, MJ, Langlois, M, Latif, F, Latore, E, Laundy, E, Laurienti, D, Lawson, A, Lay, M, Leal, I, Leal, I, Lee, AK, Lee, J, Lee, KQ, Lee, R, Lee, SA, Lee, YY, Lee-Barkey, Y, Leonard, N, Leoncini, G, Leong, CM, Lerario, S, Leslie, A, Levin, A, Lewington, A, Li, J, Li, N, Li, X, Li, Y, Liberti, L, Liberti, ME, Liew, A, Liew, YF, Lilavivat, U, Lim, SK, Lim, YS, Limon, E, Lin, H, Lioudaki, E, Liu, H, Liu, J, Liu, L, Liu, Q, Liu, WJ, Liu, X, Liu, Z, Loader, D, Lochhead, H, Loh, CL, Lorimer, A, Loudermilk, L, Loutan, J, Low, CK, Low, CL, Low, YM, Lozon, Z, Lu, Y, Lucci, D, Ludwig, U, Luker, N, Lund, D, Lustig, R, Lyle, S, Macdonald, C, MacDougall, I, Machicado, R, MacLean, D, Macleod, P, Madera, A, Madore, F, Maeda, K, Maegawa, H, Maeno, S, Mafham, M, Magee, J, Maggioni, AP, Mah, DY, Mahabadi, V, Maiguma, M, Makita, Y, Makos, G, Manco, L, Mangiacapra, R, Manley, J, Mann, P, Mano, S, Marcotte, G, Maris, J, Mark, P, Markau, S, Markovic, M, Marshall, C, Martin, M, Martinez, C, Martinez, S, Martins, G, Maruyama, K, Maruyama, S, Marx, K, Maselli, A, Masengu, A, Maskill, A, Masumoto, S, Masutani, K, Matsumoto, M, Matsunaga, T, Matsuoka, N, Matsushita, M, Matthews, M, Matthias, S, Matvienko, E, Maurer, M, Maxwell, P, Mayne, KJ, Mazlan, N, Mazlan, SA, Mbuyisa, A, McCafferty, K, McCarroll, F, McCarthy, T, McClary-Wright, C, McCray, K, McDermott, P, McDonald, C, McDougall, R, McHaffie, E, McIntosh, K, McKinley, T, McLaughlin, S, McLean, N, McNeil, L, Measor, A, Meek, J, Mehta, A, Mehta, R, Melandri, M, Mené, P, Meng, T, Menne, J, Merritt, K, Merscher, S, Meshykhi, C, Messa, P, Messinger, L, Miftari, N, Miller, R, Miller, Y, Miller-Hodges, E, Minatoguchi, M, Miners, M, Minutolo, R, Mita, T, Miura, Y, Miyaji, M, Miyamoto, S, Miyatsuka, T, Miyazaki, M, Miyazawa, I, Mizumachi, R, Mizuno, M, Moffat, S, Mohamad Nor, FS, Mohamad Zaini, SN, Mohamed Affandi, FA, Mohandas, C, Mohd, R, Mohd Fauzi, NA, Mohd Sharif, NH, Mohd Yusoff, Y, Moist, L, Moncada, A, Montasser, M, Moon, A, Moran, C, Morgan, N, Moriarty, J, Morig, G, Morinaga, H, Morino, K, Morisaki, T, Morishita, Y, Morlok, S, Morris, A, Morris, F, Mostafa, S, Mostefai, Y, Motegi, M, Motherwell, N, Motta, D, Mottl, A, Moys, R, Mozaffari, S, Muir, J, Mulhern, J, Mulligan, S, Munakata, Y, Murakami, C, Murakoshi, M, Murawska, A, Murphy, K, Murphy, L, Murray, S, Murtagh, H, Musa, MA, Mushahar, L, Mustafa, R, Mustafar, R, Muto, M, Nadar, E, Nagano, R, Nagasawa, T, Nagashima, E, Nagasu, H, Nagelberg, S, Nair, H, Nakagawa, Y, Nakahara, M, Nakamura, J, Nakamura, R, Nakamura, T, Nakaoka, M, Nakashima, E, Nakata, J, Nakata, M, Nakatani, S, Nakatsuka, A, Nakayama, Y, Nakhoul, G, Nangaku, M, Naverrete, G, Navivala, A, Nazeer, I, Negrea, L, Nethaji, C, Newman, E, Ng, SYA, Ng, TJ, Ngu, LLS, Nimbkar, T, Nishi, H, Nishi, M, Nishi, S, Nishida, Y, Nishiyama, A, Niu, J, Niu, P, Nobili, G, Nohara, N, Nojima, I, Nolan, J, Nosseir, H, Nozawa, M, Nunn, M, Nunokawa, S, Oda, M, Oe, M, Oe, Y, Ogane, K, Ogawa, W, Ogihara, T, Oguchi, G, Ohsugi, M, Oishi, K, Okada, Y, Okajyo, J, Okamoto, S, Okamura, K, Olufuwa, O, Oluyombo, R, Omata, A, Omori, Y, Ong, LM, Ong, YC, Onyema, J, Oomatia, A, Oommen, A, Oremus, R, Orimo, Y, Ortalda, V, Osaki, Y, Osawa, Y, Osmond Foster, J, O'Sullivan, A, Otani, T, Othman, N, Otomo, S, O'Toole, J, Owen, L, Ozawa, T, Padiyar, A, Page, N, Pajak, S, Paliege, A, Pandey, A, Pandey, R, Pariani, H, Park, J, Parrigon, M, Passauer, J, Patecki, M, Patel, M, Patel, R, Patel, T, Patel, Z, Paul, R, Paul, R, Paulsen, L, Pavone, L, Peixoto, A, Peji, J, Peng, BC, Peng, K, Pennino, L, Pereira, E, Perez, E, Pergola, P, Pesce, F, Pessolano, G, Petchey, W, Petr, EJ, Pfab, T, Phelan, P, Phillips, R, Phillips, T, Phipps, M, Piccinni, G, Pickett, T, Pickworth, S, Piemontese, M, Pinto, D, Piper, J, Plummer-Morgan, J, Poehler, D, Polese, L, Poma, V, Pontremoli, R, Postal, A, Pötz, C, Power, A, Pradhan, N, Pradhan, R, Preiss, D, Preiss, E, Preston, K, Prib, N, Price, L, Provenzano, C, Pugay, C, Pulido, R, Putz, F, Qiao, Y, Quartagno, R, Quashie-Akponeware, M, Rabara, R, Rabasa-Lhoret, R, Radhakrishnan, D, Radley, M, Raff, R, Raguwaran, S, Rahbari-Oskoui, F, Rahman, M, Rahmat, K, Ramadoss, S, Ramanaidu, S, Ramasamy, S, Ramli, R, Ramli, S, Ramsey, T, Rankin, A, Rashidi, A, Raymond, L, Razali, WAFA, Read, K, Reiner, H, Reisler, A, Reith, C, Renner, J, Rettenmaier, B, Richmond, L, Rijos, D, Rivera, R, Rivers, V, Robinson, H, Rocco, M, Rodriguez-Bachiller, I, Rodriquez, R, Roesch, C, Roesch, J, Rogers, J, Rohnstock, M, Rolfsmeier, S, Roman, M, Romo, A, Rosati, A, Rosenberg, S, Ross, T, Rossello, X, Roura, M, Roussel, M, Rovner, S, Roy, S, Rucker, S, Rump, L, Ruocco, M, Ruse, S, Russo, F, Russo, M, Ryder, M, Sabarai, A, Saccà, C, Sachson, R, Sadler, E, Safiee, NS, Sahani, M, Saillant, A, Saini, J, Saito, C, Saito, S, Sakaguchi, K, Sakai, M, Salim, H, Salviani, C, Sammons, E, Sampson, A, Samson, F, Sandercock, P, Sanguila, S, Santorelli, G, Santoro, D, Sarabu, N, Saram, T, Sardell, R, Sasajima, H, Sasaki, T, Satko, S, Sato, A, Sato, D, Sato, H, Sato, H, Sato, J, Sato, T, Sato, Y, Satoh, M, Sawada, K, Schanz, M, Scheidemantel, F, Schemmelmann, M, Schettler, E, Schettler, V, Schlieper, GR, Schmidt, C, Schmidt, G, Schmidt, U, Schmidt-Gurtler, H, Schmude, M, Schneider, A, Schneider, I, Schneider-Danwitz, C, Schomig, M, Schramm, T, Schreiber, A, Schricker, S, Schroppel, B, Schulte-Kemna, L, Schulz, E, Schumacher, B, Schuster, A, Schwab, A, Scolari, F, Scott, A, Seeger, W, Seeger, W, Segal, M, Seifert, L, Seifert, M, Sekiya, M, Sellars, R, Seman, MR, Shah, S, Shah, S, Shainberg, L, Shanmuganathan, M, Shao, F, Sharma, K, Sharpe, C, Sheikh-Ali, M, Sheldon, J, Shenton, C, Shepherd, A, Shepperd, M, Sheridan, R, Sheriff, Z, Shibata, Y, Shigehara, T, Shikata, K, Shimamura, K, Shimano, H, Shimizu, Y, Shimoda, H, Shin, K, Shivashankar, G, Shojima, N, Silva, R, Sim, CSB, Simmons, K, Sinha, S, Sitter, T, Sivanandam, S, Skipper, M, Sloan, K, Sloan, L, Smith, R, Smyth, J, Sobande, T, Sobata, M, Somalanka, S, Song, X, Sonntag, F, Sood, B, Sor, SY, Soufer, J, Sparks, H, Spatoliatore, G, Spinola, T, Squyres, S, Srivastava, A, Stanfield, J, Staplin, N, Staylor, K, Steele, A, Steen, O, Steffl, D, Stegbauer, J, Stellbrink, C, Stellbrink, E, Stevens, W, Stevenson, A, Stewart-Ray, V, Stickley, J, Stoffler, D, Stratmann, B, Streitenberger, S, Strutz, F, Stubbs, J, Stumpf, J, Suazo, N, Suchinda, P, Suckling, R, Sudin, A, Sugamori, K, Sugawara, H, Sugawara, K, Sugimoto, D, Sugiyama, H, Sugiyama, H, Sugiyama, T, Sullivan, M, Sumi, M, Suresh, N, Sutton, D, Suzuki, H, Suzuki, R, Suzuki, Y, Suzuki, Y, Suzuki, Y, Swanson, E, Swift, P, Syed, S, Szerlip, H, Taal, M, Taddeo, M, Tailor, C, Tajima, K, Takagi, M, Takahashi, K, Takahashi, K, Takahashi, M, Takahashi, T, Takahira, E, Takai, T, Takaoka, M, Takeoka, J, Takesada, A, Takezawa, M, Talbot, M, Taliercio, J, Talsania, T, Tamori, Y, Tamura, R, Tamura, Y, Tan, CHH, Tan, EZZ, Tanabe, A, Tanabe, K, Tanaka, A, Tanaka, A, Tanaka, N, Tang, S, Tang, Z, Tanigaki, K, Tarlac, M, Tatsuzawa, A, Tay, JF, Tay, LL, Taylor, J, Taylor, K, Taylor, K, Te, A, Tenbusch, L, Teng, KS, Terakawa, A, Terry, J, Tham, ZD, Tholl, S, Thomas, G, Thong, KM, Tietjen, D, Timadjer, A, Tindall, H, Tipper, S, Tobin, K, Toda, N, Tokuyama, A, Tolibas, M, Tomita, A, Tomita, T, Tomlinson, J, Tonks, L, Topf, J, Topping, S, Torp, A, Torres, A, Totaro, F, Toth, P, Toyonaga, Y, Tripodi, F, Trivedi, K, Tropman, E, Tschope, D, Tse, J, Tsuji, K, Tsunekawa, S, Tsunoda, R, Tucky, B, Tufail, S, Tuffaha, A, Turan, E, Turner, H, Turner, J, Turner, M, Tuttle, KR, Tye, YL, Tyler, A, Tyler, J, Uchi, H, Uchida, H, Uchida, T, Uchida, T, Udagawa, T, Ueda, S, Ueda, Y, Ueki, K, Ugni, S, Ugwu, E, Umeno, R, Unekawa, C, Uozumi, K, Urquia, K, Valleteau, A, Valletta, C, van Erp, R, Vanhoy, C, Varad, V, Varma, R, Varughese, A, Vasquez, P, Vasseur, A, Veelken, R, Velagapudi, C, Verdel, K, Vettoretti, S, Vezzoli, G, Vielhauer, V, Viera, R, Vilar, E, Villaruel, S, Vinall, L, Vinathan, J, Visnjic, M, Voigt, E, von-Eynatten, M, Vourvou, M, Wada, J, Wada, J, Wada, T, Wada, Y, Wakayama, K, Wakita, Y, Wallendszus, K, Walters, T, Wan Mohamad, WH, Wang, L, Wang, W, Wang, X, Wang, X, Wang, Y, Wanner, C, Wanninayake, S, Watada, H, Watanabe, K, Watanabe, K, Watanabe, M, Waterfall, H, Watkins, D, Watson, S, Weaving, L, Weber, B, Webley, Y, Webster, A, Webster, M, Weetman, M, Wei, W, Weihprecht, H, Weiland, L, Weinmann-Menke, J, Weinreich, T, Wendt, R, Weng, Y, Whalen, M, Whalley, G, Wheatley, R, Wheeler, A, Wheeler, J, Whelton, P, White, K, Whitmore, B, Whittaker, S, Wiebel, J, Wiley, J, Wilkinson, L, Willett, M, Williams, A, Williams, E, Williams, K, Williams, T, Wilson, A, Wilson, P, Wincott, L, Wines, E, Winkelmann, B, Winkler, M, Winter-Goodwin, B, Witczak, J, Wittes, J, Wittmann, M, Wolf, G, Wolf, L, Wolfling, R, Wong, C, Wong, E, Wong, HS, Wong, LW, Wong, YH, Wonnacott, A, Wood, A, Wood, L, Woodhouse, H, Wooding, N, Woodman, A, Wren, K, Wu, J, Wu, P, Xia, S, Xiao, H, Xiao, X, Xie, Y, Xu, C, Xu, Y, Xue, H, Yahaya, H, Yalamanchili, H, Yamada, A, Yamada, N, Yamagata, K, Yamaguchi, M, Yamaji, Y, Yamamoto, A, Yamamoto, S, Yamamoto, S, Yamamoto, T, Yamanaka, A, Yamano, T, Yamanouchi, Y, Yamasaki, N, Yamasaki, Y, Yamasaki, Y, Yamashita, C, Yamauchi, T, Yan, Q, Yanagisawa, E, Yang, F, Yang, L, Yano, S, Yao, S, Yao, Y, Yarlagadda, S, Yasuda, Y, Yiu, V, Yokoyama, T, Yoshida, S, Yoshidome, E, Yoshikawa, H, Young, A, Young, T, Yousif, V, Yu, H, Yu, Y, Yuasa, K, Yusof, N, Zalunardo, N, Zander, B, Zani, R, Zappulo, F, Zayed, M, Zemann, B, Zettergren, P, Zhang, H, Zhang, L, Zhang, L, Zhang, N, Zhang, X, Zhao, J, Zhao, L, Zhao, S, Zhao, Z, Zhong, H, Zhou, N, Zhou, S, Zhu, D, Zhu, L, Zhu, S, Zietz, M, Zippo, M, Zirino, F, and Zulkipli, FH
- Abstract
Sodium–glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial.
- Published
- 2024
- Full Text
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11. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial
- Author
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Judge, PK, Staplin, N, Mayne, KJ, Wanner, C, Green, JB, Hauske, SJ, Emberson, JR, Preiss, D, Ng, SYA, Roddick, AJ, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Massey, D, Landray, MJ, Baigent, C, Haynes, R, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Baigent, C, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brenner, S, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, Chamberlain, A, Chambers, J, Chan, CBT, Chan, JYM, Chan, YC, Chang, E, Chang, E, Chant, T, Chavagnon, T, Chellamuthu, P, Chen, F, Chen, J, Chen, P, Chen, TM, Chen, Y, Chen, Y, Cheng, C, Cheng, H, Cheng, MC, Cherney, D, Cheung, AK, Ching, CH, Chitalia, N, Choksi, R, Chukwu, C, Chung, K, Cianciolo, G, Cipressa, L, Clark, S, Clarke, H, Clarke, R, Clarke, S, Cleveland, B, Cole, E, Coles, H, Condurache, L, Connor, A, Convery, K, Cooper, A, Cooper, N, Cooper, Z, Cooperman, L, Cosgrove, L, Coutts, P, Cowley, A, Craik, R, Cui, G, Cummins, T, Dahl, N, Dai, H, Dajani, L, D'Amelio, A, Damian, E, Damianik, K, Danel, L, Daniels, C, Daniels, T, Darbeau, S, Darius, H, Dasgupta, T, Davies, J, Davies, L, Davis, A, Davis, J, Davis, L, Dayanandan, R, Dayi, S, Dayrell, R, De Nicola, L, Debnath, S, Deeb, W, Degenhardt, S, DeGoursey, K, Delaney, M, Deo, R, DeRaad, R, Derebail, V, Dev, D, Devaux, M, Dhall, P, Dhillon, G, Dienes, J, Dobre, M, Doctolero, E, Dodds, V, Domingo, D, Donaldson, D, Donaldson, P, Donhauser, C, Donley, V, Dorestin, S, Dorey, S, Doulton, T, Draganova, D, Draxlbauer, K, Driver, F, Du, H, Dube, F, Duck, T, Dugal, T, Dugas, J, Dukka, H, Dumann, H, Durham, W, Dursch, M, Dykas, R, Easow, R, Eckrich, E, Eden, G, Edmerson, E, Edwards, H, Ee, LW, Eguchi, J, Ehrl, Y, Eichstadt, K, Eid, W, Eilerman, B, Ejima, Y, Eldon, H, Ellam, T, Elliott, L, Ellison, R, Emberson, J, Epp, R, Er, A, Espino-Obrero, M, Estcourt, S, Estienne, L, Evans, G, Evans, J, Evans, S, Fabbri, G, Fajardo-Moser, M, Falcone, C, Fani, F, Faria-Shayler, P, Farnia, F, Farrugia, D, Fechter, M, Fellowes, D, Feng, F, Fernandez, J, Ferraro, P, Field, A, Fikry, S, Finch, J, Finn, H, Fioretto, P, Fish, R, Fleischer, A, Fleming-Brown, D, Fletcher, L, Flora, R, Foellinger, C, Foligno, N, Forest, S, Forghani, Z, Forsyth, K, Fottrell-Gould, D, Fox, P, Frankel, A, Fraser, D, Frazier, R, Frederick, K, Freking, N, French, H, Froment, A, Fuchs, B, Fuessl, L, Fujii, H, Fujimoto, A, Fujita, A, Fujita, K, Fujita, Y, Fukagawa, M, Fukao, Y, Fukasawa, A, Fuller, T, Funayama, T, Fung, E, Furukawa, M, Furukawa, Y, Furusho, M, Gabel, S, Gaidu, J, Gaiser, S, Gallo, K, Galloway, C, Gambaro, G, Gan, CC, Gangemi, C, Gao, M, Garcia, K, Garcia, M, Garofalo, C, Garrity, M, Garza, A, Gasko, S, Gavrila, M, Gebeyehu, B, Geddes, A, Gentile, G, George, A, George, J, Gesualdo, L, Ghalli, F, Ghanem, A, Ghate, T, Ghavampour, S, Ghazi, A, Gherman, A, Giebeln-Hudnell, U, Gill, B, Gillham, S, Girakossyan, I, Girndt, M, Giuffrida, A, Glenwright, M, Glider, T, Gloria, R, Glowski, D, Goh, BL, Goh, CB, Gohda, T, Goldenberg, R, Goldfaden, R, Goldsmith, C, Golson, B, Gonce, V, Gong, Q, Goodenough, B, Goodwin, N, Goonasekera, M, Gordon, A, Gordon, J, Gore, A, Goto, H, Goto, S, Goto, S, Gowen, D, Grace, A, Graham, J, Grandaliano, G, Gray, M, Green, JB, Greene, T, Greenwood, G, Grewal, B, Grifa, R, Griffin, D, Griffin, S, Grimmer, P, Grobovaite, E, Grotjahn, S, Guerini, A, Guest, C, Gunda, S, Guo, B, Guo, Q, Haack, S, Haase, M, Haaser, K, Habuki, K, Hadley, A, Hagan, S, Hagge, S, Haller, H, Ham, S, Hamal, S, Hamamoto, Y, Hamano, N, Hamm, M, Hanburry, A, Haneda, M, Hanf, C, Hanif, W, Hansen, J, Hanson, L, Hantel, S, Haraguchi, T, Harding, E, Harding, T, Hardy, C, Hartner, C, Harun, Z, Harvill, L, Hasan, A, Hase, H, Hasegawa, F, Hasegawa, T, Hashimoto, A, Hashimoto, C, Hashimoto, M, Hashimoto, S, Haskett, S, Hauske, SJ, Hawfield, A, Hayami, T, Hayashi, M, Hayashi, S, Haynes, R, Hazara, A, Healy, C, Hecktman, J, Heine, G, Henderson, H, Henschel, R, Hepditch, A, Herfurth, K, Hernandez, G, Hernandez Pena, A, Hernandez-Cassis, C, Herrington, WG, Herzog, C, Hewins, S, Hewitt, D, Hichkad, L, Higashi, S, Higuchi, C, Hill, C, Hill, L, Hill, M, Himeno, T, Hing, A, Hirakawa, Y, Hirata, K, Hirota, Y, Hisatake, T, Hitchcock, S, Hodakowski, A, Hodge, W, Hogan, R, Hohenstatt, U, Hohenstein, B, Hooi, L, Hope, S, Hopley, M, Horikawa, S, Hosein, D, Hosooka, T, Hou, L, Hou, W, Howie, L, Howson, A, Hozak, M, Htet, Z, Hu, X, Hu, Y, Huang, J, Huda, N, Hudig, L, Hudson, A, Hugo, C, Hull, R, Hume, L, Hundei, W, Hunt, N, Hunter, A, Hurley, S, Hurst, A, Hutchinson, C, Hyo, T, Ibrahim, FH, Ibrahim, S, Ihana, N, Ikeda, T, Imai, A, Imamine, R, Inamori, A, Inazawa, H, Ingell, J, Inomata, K, Inukai, Y, Ioka, M, Irtiza-Ali, A, Isakova, T, Isari, W, Iselt, M, Ishiguro, A, Ishihara, K, Ishikawa, T, Ishimoto, T, Ishizuka, K, Ismail, R, Itano, S, Ito, H, Ito, K, Ito, M, Ito, Y, Iwagaitsu, S, Iwaita, Y, Iwakura, T, Iwamoto, M, Iwasa, M, Iwasaki, H, Iwasaki, S, Izumi, K, Izumi, K, Izumi, T, Jaafar, SM, Jackson, C, Jackson, Y, Jafari, G, Jahangiriesmaili, M, Jain, N, Jansson, K, Jasim, H, Jeffers, L, Jenkins, A, Jesky, M, Jesus-Silva, J, Jeyarajah, D, Jiang, Y, Jiao, X, Jimenez, G, Jin, B, Jin, Q, Jochims, J, Johns, B, Johnson, C, Johnson, T, Jolly, S, Jones, L, Jones, L, Jones, S, Jones, T, Jones, V, Joseph, M, Joshi, S, Judge, P, Junejo, N, Junus, S, Kachele, M, Kadowaki, T, Kadoya, H, Kaga, H, Kai, H, Kajio, H, Kaluza-Schilling, W, Kamaruzaman, L, Kamarzarian, A, Kamimura, Y, Kamiya, H, Kamundi, C, Kan, T, Kanaguchi, Y, Kanazawa, A, Kanda, E, Kanegae, S, Kaneko, K, Kaneko, K, Kang, HY, Kano, T, Karim, M, Karounos, D, Karsan, W, Kasagi, R, Kashihara, N, Katagiri, H, Katanosaka, A, Katayama, A, Katayama, M, Katiman, E, Kato, K, Kato, M, Kato, N, Kato, S, Kato, T, Kato, Y, Katsuda, Y, Katsuno, T, Kaufeld, J, Kavak, Y, Kawai, I, Kawai, M, Kawai, M, Kawase, A, Kawashima, S, Kazory, A, Kearney, J, Keith, B, Kellett, J, Kelley, S, Kershaw, M, Ketteler, M, Khai, Q, Khairullah, Q, Khandwala, H, Khoo, KKL, Khwaja, A, Kidokoro, K, Kielstein, J, Kihara, M, Kimber, C, Kimura, S, Kinashi, H, Kingston, H, Kinomura, M, Kinsella-Perks, E, Kitagawa, M, Kitajima, M, Kitamura, S, Kiyosue, A, Kiyota, M, Klauser, F, Klausmann, G, Kmietschak, W, Knapp, K, Knight, C, Knoppe, A, Knott, C, Kobayashi, M, Kobayashi, R, Kobayashi, T, Koch, M, Kodama, S, Kodani, N, Kogure, E, Koizumi, M, Kojima, H, Kojo, T, Kolhe, N, Komaba, H, Komiya, T, Komori, H, Kon, SP, Kondo, M, Kondo, M, Kong, W, Konishi, M, Kono, K, Koshino, M, Kosugi, T, Kothapalli, B, Kozlowski, T, Kraemer, B, Kraemer-Guth, A, Krappe, J, Kraus, D, Kriatselis, C, Krieger, C, Krish, P, Kruger, B, Ku Md Razi, KR, Kuan, Y, Kubota, S, Kuhn, S, Kumar, P, Kume, S, Kummer, I, Kumuji, R, Küpper, A, Kuramae, T, Kurian, L, Kuribayashi, C, Kurien, R, Kuroda, E, Kurose, T, Kutschat, A, Kuwabara, N, Kuwata, H, La Manna, G, Lacey, M, Lafferty, K, LaFleur, P, Lai, V, Laity, E, Lambert, A, Landray, MJ, Langlois, M, Latif, F, Latore, E, Laundy, E, Laurienti, D, Lawson, A, Lay, M, Leal, I, Leal, I, Lee, AK, Lee, J, Lee, KQ, Lee, R, Lee, SA, Lee, YY, Lee-Barkey, Y, Leonard, N, Leoncini, G, Leong, CM, Lerario, S, Leslie, A, Levin, A, Lewington, A, Li, J, Li, N, Li, X, Li, Y, Liberti, L, Liberti, ME, Liew, A, Liew, YF, Lilavivat, U, Lim, SK, Lim, YS, Limon, E, Lin, H, Lioudaki, E, Liu, H, Liu, J, Liu, L, Liu, Q, Liu, WJ, Liu, X, Liu, Z, Loader, D, Lochhead, H, Loh, CL, Lorimer, A, Loudermilk, L, Loutan, J, Low, CK, Low, CL, Low, YM, Lozon, Z, Lu, Y, Lucci, D, Ludwig, U, Luker, N, Lund, D, Lustig, R, Lyle, S, Macdonald, C, MacDougall, I, Machicado, R, MacLean, D, Macleod, P, Madera, A, Madore, F, Maeda, K, Maegawa, H, Maeno, S, Mafham, M, Magee, J, Maggioni, AP, Mah, DY, Mahabadi, V, Maiguma, M, Makita, Y, Makos, G, Manco, L, Mangiacapra, R, Manley, J, Mann, P, Mano, S, Marcotte, G, Maris, J, Mark, P, Markau, S, Markovic, M, Marshall, C, Martin, M, Martinez, C, Martinez, S, Martins, G, Maruyama, K, Maruyama, S, Marx, K, Maselli, A, Masengu, A, Maskill, A, Masumoto, S, Masutani, K, Matsumoto, M, Matsunaga, T, Matsuoka, N, Matsushita, M, Matthews, M, Matthias, S, Matvienko, E, Maurer, M, Maxwell, P, Mayne, KJ, Mazlan, N, Mazlan, SA, Mbuyisa, A, McCafferty, K, McCarroll, F, McCarthy, T, McClary-Wright, C, McCray, K, McDermott, P, McDonald, C, McDougall, R, McHaffie, E, McIntosh, K, McKinley, T, McLaughlin, S, McLean, N, McNeil, L, Measor, A, Meek, J, Mehta, A, Mehta, R, Melandri, M, Mené, P, Meng, T, Menne, J, Merritt, K, Merscher, S, Meshykhi, C, Messa, P, Messinger, L, Miftari, N, Miller, R, Miller, Y, Miller-Hodges, E, Minatoguchi, M, Miners, M, Minutolo, R, Mita, T, Miura, Y, Miyaji, M, Miyamoto, S, Miyatsuka, T, Miyazaki, M, Miyazawa, I, Mizumachi, R, Mizuno, M, Moffat, S, Mohamad Nor, FS, Mohamad Zaini, SN, Mohamed Affandi, FA, Mohandas, C, Mohd, R, Mohd Fauzi, NA, Mohd Sharif, NH, Mohd Yusoff, Y, Moist, L, Moncada, A, Montasser, M, Moon, A, Moran, C, Morgan, N, Moriarty, J, Morig, G, Morinaga, H, Morino, K, Morisaki, T, Morishita, Y, Morlok, S, Morris, A, Morris, F, Mostafa, S, Mostefai, Y, Motegi, M, Motherwell, N, Motta, D, Mottl, A, Moys, R, Mozaffari, S, Muir, J, Mulhern, J, Mulligan, S, Munakata, Y, Murakami, C, Murakoshi, M, Murawska, A, Murphy, K, Murphy, L, Murray, S, Murtagh, H, Musa, MA, Mushahar, L, Mustafa, R, Mustafar, R, Muto, M, Nadar, E, Nagano, R, Nagasawa, T, Nagashima, E, Nagasu, H, Nagelberg, S, Nair, H, Nakagawa, Y, Nakahara, M, Nakamura, J, Nakamura, R, Nakamura, T, Nakaoka, M, Nakashima, E, Nakata, J, Nakata, M, Nakatani, S, Nakatsuka, A, Nakayama, Y, Nakhoul, G, Nangaku, M, Naverrete, G, Navivala, A, Nazeer, I, Negrea, L, Nethaji, C, Newman, E, Ng, SYA, Ng, TJ, Ngu, LLS, Nimbkar, T, Nishi, H, Nishi, M, Nishi, S, Nishida, Y, Nishiyama, A, Niu, J, Niu, P, Nobili, G, Nohara, N, Nojima, I, Nolan, J, Nosseir, H, Nozawa, M, Nunn, M, Nunokawa, S, Oda, M, Oe, M, Oe, Y, Ogane, K, Ogawa, W, Ogihara, T, Oguchi, G, Ohsugi, M, Oishi, K, Okada, Y, Okajyo, J, Okamoto, S, Okamura, K, Olufuwa, O, Oluyombo, R, Omata, A, Omori, Y, Ong, LM, Ong, YC, Onyema, J, Oomatia, A, Oommen, A, Oremus, R, Orimo, Y, Ortalda, V, Osaki, Y, Osawa, Y, Osmond Foster, J, O'Sullivan, A, Otani, T, Othman, N, Otomo, S, O'Toole, J, Owen, L, Ozawa, T, Padiyar, A, Page, N, Pajak, S, Paliege, A, Pandey, A, Pandey, R, Pariani, H, Park, J, Parrigon, M, Passauer, J, Patecki, M, Patel, M, Patel, R, Patel, T, Patel, Z, Paul, R, Paul, R, Paulsen, L, Pavone, L, Peixoto, A, Peji, J, Peng, BC, Peng, K, Pennino, L, Pereira, E, Perez, E, Pergola, P, Pesce, F, Pessolano, G, Petchey, W, Petr, EJ, Pfab, T, Phelan, P, Phillips, R, Phillips, T, Phipps, M, Piccinni, G, Pickett, T, Pickworth, S, Piemontese, M, Pinto, D, Piper, J, Plummer-Morgan, J, Poehler, D, Polese, L, Poma, V, Pontremoli, R, Postal, A, Pötz, C, Power, A, Pradhan, N, Pradhan, R, Preiss, D, Preiss, E, Preston, K, Prib, N, Price, L, Provenzano, C, Pugay, C, Pulido, R, Putz, F, Qiao, Y, Quartagno, R, Quashie-Akponeware, M, Rabara, R, Rabasa-Lhoret, R, Radhakrishnan, D, Radley, M, Raff, R, Raguwaran, S, Rahbari-Oskoui, F, Rahman, M, Rahmat, K, Ramadoss, S, Ramanaidu, S, Ramasamy, S, Ramli, R, Ramli, S, Ramsey, T, Rankin, A, Rashidi, A, Raymond, L, Razali, WAFA, Read, K, Reiner, H, Reisler, A, Reith, C, Renner, J, Rettenmaier, B, Richmond, L, Rijos, D, Rivera, R, Rivers, V, Robinson, H, Rocco, M, Rodriguez-Bachiller, I, Rodriquez, R, Roesch, C, Roesch, J, Rogers, J, Rohnstock, M, Rolfsmeier, S, Roman, M, Romo, A, Rosati, A, Rosenberg, S, Ross, T, Rossello, X, Roura, M, Roussel, M, Rovner, S, Roy, S, Rucker, S, Rump, L, Ruocco, M, Ruse, S, Russo, F, Russo, M, Ryder, M, Sabarai, A, Saccà, C, Sachson, R, Sadler, E, Safiee, NS, Sahani, M, Saillant, A, Saini, J, Saito, C, Saito, S, Sakaguchi, K, Sakai, M, Salim, H, Salviani, C, Sammons, E, Sampson, A, Samson, F, Sandercock, P, Sanguila, S, Santorelli, G, Santoro, D, Sarabu, N, Saram, T, Sardell, R, Sasajima, H, Sasaki, T, Satko, S, Sato, A, Sato, D, Sato, H, Sato, H, Sato, J, Sato, T, Sato, Y, Satoh, M, Sawada, K, Schanz, M, Scheidemantel, F, Schemmelmann, M, Schettler, E, Schettler, V, Schlieper, GR, Schmidt, C, Schmidt, G, Schmidt, U, Schmidt-Gurtler, H, Schmude, M, Schneider, A, Schneider, I, Schneider-Danwitz, C, Schomig, M, Schramm, T, Schreiber, A, Schricker, S, Schroppel, B, Schulte-Kemna, L, Schulz, E, Schumacher, B, Schuster, A, Schwab, A, Scolari, F, Scott, A, Seeger, W, Seeger, W, Segal, M, Seifert, L, Seifert, M, Sekiya, M, Sellars, R, Seman, MR, Shah, S, Shah, S, Shainberg, L, Shanmuganathan, M, Shao, F, Sharma, K, Sharpe, C, Sheikh-Ali, M, Sheldon, J, Shenton, C, Shepherd, A, Shepperd, M, Sheridan, R, Sheriff, Z, Shibata, Y, Shigehara, T, Shikata, K, Shimamura, K, Shimano, H, Shimizu, Y, Shimoda, H, Shin, K, Shivashankar, G, Shojima, N, Silva, R, Sim, CSB, Simmons, K, Sinha, S, Sitter, T, Sivanandam, S, Skipper, M, Sloan, K, Sloan, L, Smith, R, Smyth, J, Sobande, T, Sobata, M, Somalanka, S, Song, X, Sonntag, F, Sood, B, Sor, SY, Soufer, J, Sparks, H, Spatoliatore, G, Spinola, T, Squyres, S, Srivastava, A, Stanfield, J, Staplin, N, Staylor, K, Steele, A, Steen, O, Steffl, D, Stegbauer, J, Stellbrink, C, Stellbrink, E, Stevens, W, Stevenson, A, Stewart-Ray, V, Stickley, J, Stoffler, D, Stratmann, B, Streitenberger, S, Strutz, F, Stubbs, J, Stumpf, J, Suazo, N, Suchinda, P, Suckling, R, Sudin, A, Sugamori, K, Sugawara, H, Sugawara, K, Sugimoto, D, Sugiyama, H, Sugiyama, H, Sugiyama, T, Sullivan, M, Sumi, M, Suresh, N, Sutton, D, Suzuki, H, Suzuki, R, Suzuki, Y, Suzuki, Y, Suzuki, Y, Swanson, E, Swift, P, Syed, S, Szerlip, H, Taal, M, Taddeo, M, Tailor, C, Tajima, K, Takagi, M, Takahashi, K, Takahashi, K, Takahashi, M, Takahashi, T, Takahira, E, Takai, T, Takaoka, M, Takeoka, J, Takesada, A, Takezawa, M, Talbot, M, Taliercio, J, Talsania, T, Tamori, Y, Tamura, R, Tamura, Y, Tan, CHH, Tan, EZZ, Tanabe, A, Tanabe, K, Tanaka, A, Tanaka, A, Tanaka, N, Tang, S, Tang, Z, Tanigaki, K, Tarlac, M, Tatsuzawa, A, Tay, JF, Tay, LL, Taylor, J, Taylor, K, Taylor, K, Te, A, Tenbusch, L, Teng, KS, Terakawa, A, Terry, J, Tham, ZD, Tholl, S, Thomas, G, Thong, KM, Tietjen, D, Timadjer, A, Tindall, H, Tipper, S, Tobin, K, Toda, N, Tokuyama, A, Tolibas, M, Tomita, A, Tomita, T, Tomlinson, J, Tonks, L, Topf, J, Topping, S, Torp, A, Torres, A, Totaro, F, Toth, P, Toyonaga, Y, Tripodi, F, Trivedi, K, Tropman, E, Tschope, D, Tse, J, Tsuji, K, Tsunekawa, S, Tsunoda, R, Tucky, B, Tufail, S, Tuffaha, A, Turan, E, Turner, H, Turner, J, Turner, M, Tuttle, KR, Tye, YL, Tyler, A, Tyler, J, Uchi, H, Uchida, H, Uchida, T, Uchida, T, Udagawa, T, Ueda, S, Ueda, Y, Ueki, K, Ugni, S, Ugwu, E, Umeno, R, Unekawa, C, Uozumi, K, Urquia, K, Valleteau, A, Valletta, C, van Erp, R, Vanhoy, C, Varad, V, Varma, R, Varughese, A, Vasquez, P, Vasseur, A, Veelken, R, Velagapudi, C, Verdel, K, Vettoretti, S, Vezzoli, G, Vielhauer, V, Viera, R, Vilar, E, Villaruel, S, Vinall, L, Vinathan, J, Visnjic, M, Voigt, E, von-Eynatten, M, Vourvou, M, Wada, J, Wada, J, Wada, T, Wada, Y, Wakayama, K, Wakita, Y, Wallendszus, K, Walters, T, Wan Mohamad, WH, Wang, L, Wang, W, Wang, X, Wang, X, Wang, Y, Wanner, C, Wanninayake, S, Watada, H, Watanabe, K, Watanabe, K, Watanabe, M, Waterfall, H, Watkins, D, Watson, S, Weaving, L, Weber, B, Webley, Y, Webster, A, Webster, M, Weetman, M, Wei, W, Weihprecht, H, Weiland, L, Weinmann-Menke, J, Weinreich, T, Wendt, R, Weng, Y, Whalen, M, Whalley, G, Wheatley, R, Wheeler, A, Wheeler, J, Whelton, P, White, K, Whitmore, B, Whittaker, S, Wiebel, J, Wiley, J, Wilkinson, L, Willett, M, Williams, A, Williams, E, Williams, K, Williams, T, Wilson, A, Wilson, P, Wincott, L, Wines, E, Winkelmann, B, Winkler, M, Winter-Goodwin, B, Witczak, J, Wittes, J, Wittmann, M, Wolf, G, Wolf, L, Wolfling, R, Wong, C, Wong, E, Wong, HS, Wong, LW, Wong, YH, Wonnacott, A, Wood, A, Wood, L, Woodhouse, H, Wooding, N, Woodman, A, Wren, K, Wu, J, Wu, P, Xia, S, Xiao, H, Xiao, X, Xie, Y, Xu, C, Xu, Y, Xue, H, Yahaya, H, Yalamanchili, H, Yamada, A, Yamada, N, Yamagata, K, Yamaguchi, M, Yamaji, Y, Yamamoto, A, Yamamoto, S, Yamamoto, S, Yamamoto, T, Yamanaka, A, Yamano, T, Yamanouchi, Y, Yamasaki, N, Yamasaki, Y, Yamasaki, Y, Yamashita, C, Yamauchi, T, Yan, Q, Yanagisawa, E, Yang, F, Yang, L, Yano, S, Yao, S, Yao, Y, Yarlagadda, S, Yasuda, Y, Yiu, V, Yokoyama, T, Yoshida, S, Yoshidome, E, Yoshikawa, H, Young, A, Young, T, Yousif, V, Yu, H, Yu, Y, Yuasa, K, Yusof, N, Zalunardo, N, Zander, B, Zani, R, Zappulo, F, Zayed, M, Zemann, B, Zettergren, P, Zhang, H, Zhang, L, Zhang, L, Zhang, N, Zhang, X, Zhao, J, Zhao, L, Zhao, S, Zhao, Z, Zhong, H, Zhou, N, Zhou, S, Zhu, D, Zhu, L, Zhu, S, Zietz, M, Zippo, M, Zirino, F, and Zulkipli, FH
- Abstract
The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population.
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- 2024
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12. Information-based continuous nursing on pregnant women with gestational diabetes mellitus.
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ZENG, X., ZHOU, S., CHEN, Z.-Y., LI, Y.-N., SHI, H., JIA, X.-Z., YANG, L.-Q., LIU, J., LIU, L.-Y., ZOU, M., and ZHOU, X.-P.
- Abstract
OBJECTIVE: Gestational diabetes mellitus (GDM) is a serious pregnancy complication, and women with undiagnosed diabetes mellitus can develop chronic hyperglycemia during pregnancy. The purpose of this study is to investigate the impact of information-based continuity of care on glucose levels, health awareness, and maternal and infant outcomes in pregnant women with GDM, thereby providing a basis for the clinical implementation of effective interventions for GDM to reduce or avoid adverse outcomes due to GDM. PATIENTS AND METHODS: One hundred and sixty cases of pregnant women with GDM who underwent treatment in the obstetrics and gynecology department of our hospital from June 2019 to September 2021 were randomly selected as the study population and divided into the control group (n=80) and the study group (n=80). Women in the control group were received with conventional nursing intervention, and those in the study group were obtained with information-based continuity of care on the basis of the control group. Basic clinical data were collected. The levels of fasting blood glucose (FBG), 2h postprandial glucose (2hPG), knowledge of health education, treatment compliance scores, and changes in delivery outcomes were compared between the two groups. According to the maternal blood glucose control level, 160 pregnant women with GDM were divided into the better control group (143 cases) and the poor control group (17 cases). The risk factors affecting the level of maternal glycemic control in gestational diabetes were analyzed. RESULTS: After the intervention, the levels of FBG and 2hPG were significantly lower in both groups than those before the intervention, while the levels of FBG and 2hPG in the study group were notably lower than those in the control group. The health education knowledge score and treatment compliance score after the intervention were significantly higher than those before the intervention, and the health education knowledge score and treatment compliance score in the study group were observably higher than those in the control group (p<0.01). The adverse pregnancy outcomes of pregnant women in the study group were significantly reduced compared with those in the control group (p<0.05). Logistic regression analysis showed that body mass index (BMI), dietary control, literacy, and information-based continuity of care were all influential factors for maternal glycemic control level (p<0.05). Among the influencing factors, dietary control and continuity of care had clinical value in predicting maternal glycemic control levels in gestational diabetes. CONCLUSIONS: Continuous nursing based on informatization can effectively control the blood glucose level of pregnant women with GDM, improve the treatment compliance of pregnant women and the awareness rate of gestational diabetes knowledge so as to reduce the occurrence of adverse pregnancy outcomes and improve the health level. In addition, BMI and dietary control are independent risk factors that affect the blood glucose control level of pregnant women. Relevant intervention measures should be formulated according to the relevant influencing factors to effectively control the blood glucose level of pregnant women with GDM and improve maternal and infant outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2023
13. The value of multimodal magnetic resonance imaging in breast cancer and its correlation with pathological features and prognosis.
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LUO, Q., YANG, L., and ZHOU, X.
- Abstract
OBJECTIVE: This study aimed to explore the diagnostic value of multimodal magnetic resonance imaging (MRI) in breast cancer (BC) and its correlation with pathological features of the disease. PATIENTS AND METHODS: Clinical data of 85 BC patients (malignant group) and 85 patients with benign breast diseases (benign group), admitted to 3201 Hospital of Xi'an Jiaotong University Health Science Center from May 2020 to May 2022, were retrospectively collected. Both groups underwent multimodal MRI examinations. We compared the differences in multimodal MRI examination parameters between the groups, as well as between patients with different pathological characteristics and prognoses in the malignant group. The correlation between multimodal MRI examination parameters and pathological features of BC was analyzed. RESULTS: The apparent diffusion coefficient (ADC) of the malignant group was lower than that of the benign group, while the extravascular extracellular volume fraction (Ve), reaction rate constant (Kep), and volume transfer constant (Ktrans) of the malignant group were higher compared to the benign group (p<0.05). In the malignant group, patients with stage III+IV disease, lymph node metastases, and low differentiation had lower ADC values, and higher Ve, Ktrans, and Kep compared to patients with stage I+II disease, no lymph node metastasis, and medium to high differentiation (p<0.05). ADC value negatively correlated with the stage of the disease, lymph node metastases but positively correlated with the degree of differentiation (p<0.05). Ve, Ktrans, and Kep positively correlated with the stage of the disease and lymph node metastasis, and negatively correlated with the degree of differentiation (p<0.05). ADC value of patients with poor prognosis was lower, while Ve, Ktrans, and Kep were higher compared to patients with good prognosis (p<0.05). The Receiver operating characteristic (ROC) analysis showed that ADC, Ve, Ktrans, and Kep have certain predictive values for the poor prognosis of BC patients (p<0.05). CONCLUSIONS: Multimodal MRI examination detected obvious differences in the examination parameters of BC patients, and the increase or decrease in these parameters is closely correlated with the pathological characteristics and prognosis of the disease. Multimodal MRI examination can be used for pathological evaluation and prognosis prediction in BC patients. [ABSTRACT FROM AUTHOR]
- Published
- 2023
14. Identification of diagnostic biomarkers and immuno-infiltration analysis for rheumatoid arthritis based on biological information and WGCNA.
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ZHANG, Y., YANG, Q.-Y., YANG, L.-S., ZHANG, J., ZHANG, K., LIU, Y., XU, X.-D., YANG, X.-Y., WANG, J., and YAN, B.
- Abstract
OBJECTIVE: Rheumatoid arthritis (RA), as an autoimmune disease, poses a huge social and economic burden worldwide. Although the diagnosis of RA has been gradually improved, there is still a need to discover accurate and rapid biomarkers for diagnosis and therapy with a precise understanding of the disease. This study aimed to screen diagnostic biomarkers and analyze immune infiltration in RA based on weighted gene co-expression network analysis (WGCNA). MATERIALS AND METHODS: Firstly, we screened the experimental and validation sets associated with RA from the GEO database. Crossover genes were obtained using differential genes (DEGs) and key modules in WGCNA. Subsequently, the crossover genes were constructed into protein-protein interaction (PPI) networks and screened to obtain hub genes. The receiver operating characteristic (ROC) curve assessment was performed to identify diagnostic biomarkers. In addition, we used the Cibersort algorithm for immuno-infiltration analysis and the DGidb database to search for drugs associated with diagnostic biomarkers. RESULTS: In the end, 377 DEGs were identified, and the enrichment analysis revealed significant associations with the immune system. Blue modules in the WGCNA analysis were positively associated with the disease and were identified as key modules. ROC curves evaluated the four hub genes, which significantly differentiated RA from healthy controls and could be used as diagnostic biomarkers. In further analysis, we found that RA is closely related to immunity, and the search identified multiple drugs that hold promise for treating RA. CONCLUSIONS: BCL2A1, PTGS2, FAS, and LY96 may be used as diagnostic biomarkers, which is significant for diagnosing and treating RA. [ABSTRACT FROM AUTHOR]
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- 2023
15. Volumetric change of bony cavity and shrinkage speed after marsupialization for odontogenic keratocyst and unicystic ameloblastoma.
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Mohamed, A.A.S., Liang, Y.-j., Al-Shujaa, E.A., Yang, L., Luo, W.-h., and Liao, G.-q.
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CONE beam computed tomography ,AMELOBLASTOMA - Abstract
The aim of this study was to evaluate the efficacy of marsupialization treatment for odontogenic keratocyst (OKC) and unicystic ameloblastoma (UA) based on the three-dimensional volumetric change over time, and to determine the difference between OKC and UA in terms of the absolute volume reduction (AVR) and absolute shrinkage speed (ASS), and whether they are correlated with the preoperative volume, time after marsupialization (time between marsupialization and second treatment), and patient age. This was a retrospective cohort study with a sample size of 60 patients: 29 with OKC and 31 with UA. Pre- and post-marsupialization cone beam computed tomography images were analysed using Mimics software. The volume reduction and shrinkage speed were analysed and correlated with the preoperative volume, time after marsupialization, and demographic data. Descriptive univariable and multivariable statistics were computed; significance was set at P ≤ 0.05. The mean percentage volume reduction after marsupialization was 67.6 ± 9.6% for OKC and 63.3 ± 20.1% for UA. There was no significant difference in AVR or ASS between the OKC and UA groups. For OKC and UA, the preoperative volume (both P < 0.001) and time after marsupialization (P = 0.024 and P < 0.001, respectively) were associated with AVR. Moreover, for OKC and UA, the preoperative volume and time after marsupialization were also significantly associated with the ASS (all P < 0.001). For both lesions, patient age was not significantly related to AVR or ASS. Marsupialization appears to be a viable option to decrease the volume of OKC and UA. Age was found not to be associated with the volume reduction of either UA or OKC. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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16. Extracapsular dissection with a transparotid facial nerve dissection approach versus partial superficial parotidectomy for benign tumours in the tail of the parotid gland: a single-centre retrospective study of 89 patients.
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Liu, Z., Wang, B., and Yang, L.
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PAROTIDECTOMY ,PAROTID gland tumors ,BENIGN tumors ,FACIAL nerve ,FACIAL injuries ,NERVOUS system injuries - Abstract
The aims of this study were (1) to evaluate the transparotid facial nerve dissection approach (TFND), in which the intraparotid cervicofacial or temporofacial division is identified first through a superficial lobe incision; and (2) to compare extracapsular dissection with a TFND (ECD-TFND) with partial superficial parotidectomy with a retrograde approach (PSP) for benign tumours in the tail of the parotid gland with respect to surgical outcomes. Eighty-nine patients underwent PSP or ECD-TFND for benign tumours in the tail of the parotid gland: 49 were treated surgically with PSP and 40 with ECD-TFND. The mean (± standard deviation) surgical time did not differ significantly between the groups: 64 ± 22.4 min for PSP and 59 ± 19.8 min for ECD-TFND (P = 0.302). There was a significant difference in sialocele: 18 (36.7%) patients in the PSP group and four (10%) in the ECD-TFND group (P = 0.002). There was also a significant difference in facial nerve injuries: temporary paralysis was observed in 13 (26.5%) patients in the PSP group and two (5%) in the ECD-TFND group (P = 0.007). It appears that TFND is a viable and safe approach when performing ECD for benign tumours in the tail of the parotid gland. ECD-TFND should be preferred over PSP for benign tumours in the tail of the parotid gland. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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17. Comparison of effects of transversus abdominis plane block and thoracic epidural anesthesia mediated activation of inflammasome on postoperative medication, pain, and recovery in patients undergoing laparoscopic colorectal surgery.
- Author
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LIU, Y., SUN, Z.-R., LU, L.-H., ZHANG, X., GAO, L.-L., WU, J.-M., YANG, L., and XU, P.-B.
- Abstract
OBJECTIVE: This work was developed to compare the effects of transversus abdominis plane block (TAPB) and thoracic epidural anesthesia (TEA) mediated activation of inflammasome on postoperative medication, pain, and recovery in patients undergoing laparoscopic colorectal surgery. Then, the effects of two anesthesia methods on postoperative analgesia of patients were investigated and compared, aiming to provide reference for the selection of postoperative analgesia methods of laparoscopy. PATIENTS AND METHODS: In this work, patients undergoing laparoscopic colorectal surgery were rolled into a TAPB group (30 patients) and a TEA group (30 patients). The blood pressure and stress indexes of the patients at different time points were observed and compared, and the doses of anesthetic drugs were recorded. Postoperative pain scores were evaluated, and postoperative recovery of the two groups was compared. Meanwhile, the peripheral venous bloods were extracted from the two groups before and after surgery for the determination of inflammasome proteins, and the detection results were compared. RESULTS: Data showed that the dose of sufentanil in TEA group was notably inferior to that in TAPB group (p<0.05). The blood pressure indexes in the TEA group decreased remarkably (p<0.05), while their changes in the TAPB group were stable. The slower point heart rate (HR), lower mean arterial pressure (MAP), and lower levels of cortisol (Cor) and norepinephrine (NE) in the TEA group were found when compared with the TAPB group during the period from pneumoperitoneum establishment to post-ventilation. After pneumoperitoneum establishment, blood oxygen saturation (SpO2) in the TEA group was lower than that in the TAPB group at the same time point (p<0.05). The postoperative visual analog scales (VAS) score and numerical rating scale (NRS) score in TEA group were lower than those in TAPB group (p<0.05). After surgery, the protein level in TEA group was significantly lower than that in TAPB group (p<0.05). CONCLUSIONS: In short, the activation of inflammasome mediated by TEA could reduce the anesthetic agents used after laparoscopic colorectal cancer surgery and reduce the surgical stress response. In addition, TEA exerted a little effect on early immunity, which was safe and feasible, contributing to postoperative analgesia and recovery. In addition, its application value in laparoscopic postoperative analgesia was higher than TAPB. [ABSTRACT FROM AUTHOR]
- Published
- 2023
18. Allergen detection and logistic multifactor analysis of allergic rhinitis.
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LIU, Y.-L., HUO, Y.-T., PAN, X.-F., LIN, X.-H., YANG, L.-H., GAO, J., and ZHONG, W.-H.
- Abstract
OBJECTIVE: This study aims to investigate the allergens in children with allergic rhinitis (AR) and AR-related influencing factors. PATIENTS AND METHODS: The clinical data of 230 children with AR admitted to our hospital from June 2020 to June 2021 were retrospectively analyzed and included in the observation group. The clinical data of 230 healthy children during the same time period were included as the control group. All children had been tested for allergens using serum allergens, and the clinical data were collected by telephone questionnaires. Univariate and multivariate logistic regression were used to analyze the risk factors affecting AR. RESULTS: A total of 230 children with AR was included in this study, and some of them had two or more allergens. The proportion of house dust mite was the highest among the inhaled allergens, about 75.22%. Shrimp accounted for the highest proportion of food allergens, about 40.87%. Compared with the control group, the proportion of floating population, home heating, allergy history, asthma and other general information in the observation group was higher. At the same time, the proportion of environmental factors such as second-hand smoke, number of residents (= 3), daily ventilation and cleaning (no), domestic animals, domestic plants, decoration within 2 years, and living environment (rural) in the observation group was higher. In addition, the proportion of family factors such as delivery mode (cesarean section), family history of allergic rhinitis, parents' education level (middle school and above) in the observation group was higher (p < 0.05). Univariate logistic regression analysis showed that allergic history, asthma, second-hand smoke, floating population, number of residents, domestic animals, decoration within 2 years, delivery mode, and family history of allergic rhinitis were the risk factors affecting the incidence of AR in children (p < 0.05), and daily window ventilation and cleaning were the protective factors (p < 0.05). The multivariate logistic regression analysis showed that asthma, second-hand smoke, floating population, decoration within 2 years, family history of allergic rhinitis and domestic animals were independent risk factors for the occurrence of AR (p < 0.05), and daily ventilation and cleaning were protective factors for the occurrence of AR in children (p < 0.05). CONCLUSIONS: The proportion of house dust mite in inhalation allergens and shrimp in food allergens were the highest in AR children. The incidence of AR was closely related to asthma, second-hand smoke, floating population, decoration within 2 years, family history of AR and domestic animals, etc. Targeted measures could effectively prevent the occurrence and recurrence of AR. At the same time, daily ventilation and cleaning were the protective factors which could reduce the incidence and occurrence of AR in children. [ABSTRACT FROM AUTHOR]
- Published
- 2023
19. Transfer or blockage: Unraveling the interaction between deformation twinning and grain boundary in tantalum under shock loading with molecular dynamics.
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Meng, Z.C., Yang, M.M., Feng, A.H., Qu, S.J., Zhao, F., Yang, L., Yao, J.H., Yang, Y., Fan, Q.B., and Wang, H.
- Subjects
CRYSTAL grain boundaries ,TWIN boundaries ,MOLECULAR dynamics ,TANTALUM ,STRESS concentration ,DEFORMATIONS (Mechanics) - Abstract
• The interaction between deformation twinning and grain boundary (GB) is categorized as twin transfer (TT), twin-induced dislocation (TID) and twin block (TB). • Misorientation angles is crucial as it determines the overall structure and stress distribution, while the geometric compatibility factor and the Schmid factor are important as they determine whether there are suitable twin variants to be activated. • The twin morphology under TT and TB appears as ruler and lenticular shapes, respectively. The interaction between {112}<111> deformation twinning and grain boundary in coaxial polycrystalline tantalum under shock compression was studied with molecular dynamics simulation under different grain pair misorientation angles (MA) and geometric compatibility factor (m '). Generally, in the coaxial polycrystal, the value of MA determines the occurrence of twin transfer (TT) or twin blockage (TB), i.e., twin transfer occurs at MA ≤ 29° with twin blockage otherwise. Under TT, the value of m ' affects the selection of twin variants., i.e., the twin system with a larger m ' is easier to active. The morphology of twin pairs is ruler-shaped and lenticular under TT and TB, respectively, with different thickening mechanisms, including grain boundary dislocation emission. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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20. Association of non-alcoholic fatty liver disease with total testosterone in non-overweight/obese men with type 2 diabetes mellitus
- Author
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Yang, L. J., Zhou, J. Z., Zheng, Y. F., Hu, X., He, Z. Y., Du, L. J., Gu, X., Huang, X. Y., Li, J., Li, Y. Q., Pan, L. Y., Zhang, X. X., and Gu, X. J.
- Abstract
Purpose: Non-alcoholic fatty liver disease (NAFLD) is considered as both a vital risk factor and a consequence of type 2 diabetes mellitus (T2DM). Low total testosterone (TT) is common in men with T2DM, contributing to increased risks of metabolic diseases. This study aimed to investigate the association between TT levels and the prevalence of NAFLD in men with T2DM. Methods: In this cross-sectional study, 1005 men with T2DM were enrolled in National Metabolic Management Center (MMC) of First Affiliated Hospital of Wenzhou Medical University between January 2017 and August 2021. NAFLD was diagnosed using ultrasound as described by the Chinese Liver Disease Association. Overweight/obesity was defined as body mass index (BMI) ≥ 25 kg/m
2 according to WHO BMI classifications. Results: Individuals without NAFLD had higher serum TT levels than those with NAFLD. After adjustments for potential confounding factors, the top tertile was significantly associated with lower prevalence of NAFLD compared with the bottom tertile of TT level [odds ratio (OR) 0.303, 95% confidence interval (CI) 0.281–0.713; P< 0.001]. The association between TT with NAFLD in individuals with normal weight (OR 0.175, 95% CI 0.098–0.315; P< 0.001) was stronger than in individuals with overweight/obesity (OR 0.509, 95% CI 0.267–0.971; P= 0.040). There was a significant interaction of TT with overweight/obesity (Pfor interaction = 0.018 for NAFLD). Conclusion: Higher serum TT was significantly associated with a lower prevalence of NAFLD in men with T2DM. We found that the relationship of TT and NAFLD was stronger in individuals with non-overweight/obesity.- Published
- 2023
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21. Ferroptosis in neurodegenerative diseases: inhibitors as promising candidate mitigators.
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ZHANG, R.-F., ZENG, M., LV, N., WANG, L.-M., YANG, Q.-Y., GAN, J.-L., LI, H.-H., YU, B., JIANG, X.-J., and YANG, L.
- Abstract
Ferroptosis is a new form of iron-dependent programmed cell death, characterized by intracellular iron overload and lipid peroxidation. Several studies have revealed that ferroptosis is associated with the occurrence and development of various neurodegenerative diseases (NDs). Therefore, this paper reviews the mechanism and related genes of ferroptosis, focusing on the research of antiferroptosis drugs in NDs to provide theoretical support for future experimental research and clinical application. This work focuses on ferroptosis, and the authors searched the literature on PubMed related to ferroptosis using the keywords "neurodegenerative diseases" and 'neurons". All articles were from August 2022 and earlier, excluding irrelevant or retracted articles, and articles from the last five years were used as the main inclusion criteria. After collection and summary, it was found that ferroptosis in NDs was not only related to iron metabolism, lipid metabolism, and amino acid metabolism but also related to genes such as Nrf2, FSP1, VDACs, and p53. We also summarized drugs that inhibited ferroptosis in NDs and classified them according to their mechanism of action. Ferroptosis was involved in the progression of NDs through its production mechanism and related genes. Targeting ferroptosis might be a new strategy for treating NDs. [ABSTRACT FROM AUTHOR]
- Published
- 2023
22. Unlocking surgical success: the suprapubic port advantage.
- Author
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Voigt, P, Yu, L, and Yang, L
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SUCCESS - Published
- 2024
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23. Transparency and p‑Type Conductivity of BeSe Doped with Group VA Atoms: A Hybrid Functional Study.
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Fan, S. W., Chen, Yu, and Yang, L.
- Published
- 2022
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24. Magnetic-field-synchronized wireless modulation of neural activity by magnetoelectric nanoparticles.
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Zhang, E., Abdel-Mottaleb, M., Liang, P., Navarrete, B., Yildirim, Y. Akin, Campos, M. Alberteris, Smith, I.T., Wang, P., Yildirim, B., Yang, L., Chen, S., Smith, I., Lur, G., Nguyen, T., Jin, X., Noga, B.R., Ganzer, P., and Khizroev, S.
- Abstract
The in vitro study demonstrates wirelessly controlled modulation of neural activity using magnetoelectric nanoparticles (MENPs), synchronized to magnetic field application with a sub-25-msec temporal response. Herein, MENPs are sub-30-nm CoFe 2 O 4 @BaTiO 3 core-shell nanostructures. MENPs were added to E18 rat hippocampal cell cultures (0.5 μg of MENPs per 100,000 neurons) tagged with fluorescent Ca
2+ sensitive indicator cal520. MENPs were shown to wirelessly induce calcium transients which were synchronized with application of 1200-Oe bipolar 25-msec magnetic pulses at a rate of 20 pulses/sec. The observed calcium transients were similar, in shape and magnitude, to those generated through the control electric field stimulation with a 50-μA current, and they were inhibited by the sodium channel blocker tetrodotoxin. The observed MENP-based magnetic excitation of neural activity is in agreement with the non-linear M − H hysteresis loop of the MENPs, wherein the MENPs' coercivity value sets the threshold for the externally applied magnetic field. • A study through a reduced in vitro model (on E18 rat hippocampal cell cultures) for the first time demonstrates how 30-nm MENPs can be used to wirelessly induce neural activity via application of magnetic fields, with a sub-25-msec temporal response. • The property of the nanoparticles such as the magnetic coercivity is used as a wireless switch to activate action potential in selected regions. • The validity of MENPs-based neural firing approach is confirmed through different positive and negative control measurements. • The importance of having MENPs adequately dispersed to ensure the desired wireless neural firing control operation is being demonstrated. [ABSTRACT FROM AUTHOR]- Published
- 2022
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25. Crossed Luttinger liquid hidden in a quasi-two-dimensional material
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Du, X., Kang, L., Lv, Y. Y., Zhou, J. S., Gu, X., Xu, R. Z., Zhang, Q. Q., Yin, Z. X., Zhao, W. X., Li, Y. D., He, S. M., Pei, D., Chen, Y. B., Wang, M. X., Liu, Z. K., Chen, Y. L., and Yang, L. X.
- Abstract
Although the concept of the Luttinger liquid (LL) describing a one-dimensional (1D) interacting fermion system1,2collapses at higher dimensions, it has been proposed to be relevant to enigmatic problems in condensed matter physics including the normal state of cuprate superconductors3–5, unconventional metals6,7and quantum criticality8,9. Here we investigate the electronic structure of quasi-2D η-Mo4O11, a charge-density wave material, using high-resolution angle-resolved photoemission spectroscopy and ab initio calculations. We show a prototypical LL behaviour originating from the crossed quasi-1D chain arrays hidden in the quasi-2D crystal structure. Our results suggest that η-Mo4O11materializes the crossed LL phase10–12in its normal state, where the orthogonal orbital components substantially reduce the coupling between intersecting quasi-1D chains and therefore maintain the essential properties of the LL. Our finding not only presents a realization of a 2D LL, but also provides a new angle to understand non-Fermi liquid behaviour in other 2D and 3D quantum materials.
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- 2023
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26. Effect of SIRT1gene single-nucleotide polymorphisms on susceptibility to type 1 diabetes in a Han Chinese population
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Li, J., Yang, Y., Xia, Y., Luo, S., Lin, J., Xiao, Y., Li, X., Huang, G., Yang, L., Xie, Z., and Zhou, Z.
- Abstract
Aims: SIRT1 deficiency has been associated with diabetes, and a variant of the SIRT1gene has been found to be involved in human autoimmune diabetes; however, it is unclear whether this genetic variation exists in Han Chinese with type 1 diabetes (T1D) and whether it contributes to development of T1D. Therefore, we aimed to explore the association of the SIRT1gene single-nucleotide polymorphisms (SNPs) rs10997866 and rs3818292 in a Han Chinese population with T1D. Methods: This study recruited 2653 unrelated Han Chinese individuals, of whom 1289 had T1D and 1364 were healthy controls. Allelic and genotypic distributions of SIRT1polymorphisms (rs10997866 and rs3818292) were determined by MassARRAY. Basic characteristics, genotype and allele frequencies of selected SNPs were compared between the T1D patients and healthy controls. Further genotype–phenotype association analysis of the SNPs was performed on the T1D patients divided into three groups according to genotype. Statistical analyses included the chi-square test, Mann‒Whitney U test, Kruskal‒Wallis H test and logistic regression. Results: The allelic (G vs. A) and genotypic (GA vs. AA) distributions of SIRT1rs10997866 were significantly different in T1D patients and healthy controls (P= 0.039, P= 0.027), and rs10997866 was associated with T1D susceptibility under dominant, overdominant and additive models (P= 0.026, P= 0.030 and P= 0.027, respectively). Moreover, genotype–phenotype association analysis showed the GG genotype of rs10997866 and the GG genotype of rs3818292 to be associated with higher titers of IA-2A (P= 0.013 and P= 0.038, respectively). Conclusion: SIRT1rs10997866 is significantly associated with T1D susceptibility, with the minor allele G conferring a higher risk of T1D. Moreover, SIRT1gene rs10997866 and rs3818292 correlate with the titer of IA-2A in Han Chinese individuals with T1D.
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- 2023
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27. Honey combined with silver ion dressing in complicated chronic wound of the scalp: a case report.
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LIN, J.-Q., YANG, L.-L., YANG, X., ZENG, X.-H., ZHANG, Y., LI, Z.-P., and LIU, H.-Y.
- Abstract
OBJECTIVE: Scalp wound healing is a complex process. Nonhealing wounds can become chronic wounds, which increase the trauma and economic burden on a patient and may even cause death in severe cases. Thus, it can be difficult to find an effective treatment for chronic wounds of the scalp. CASE PRESENTATION: We present a case of a 13-year-old female patient with a chronic wound caused by a scalp incision infection 3 months after two operations for craniotomy for arachnoid cyst resection and cystic lesion-cisterna magna drainage. After repeated dressing changes and two debridement operations, the incision had still not healed during the following year. The wound finally healed after 6 months of dressing changes by combining honey with silver ion dressings, and the incision had not re-ruptured after 10 months of follow-up. CONCLUSIONS: Honey combined with silver may be an effective method for the treatment of chronic scalp wounds. [ABSTRACT FROM AUTHOR]
- Published
- 2022
28. Transparency and p-Type Conductivity of BeSe Doped with Group VA Atoms: A Hybrid Functional Study
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Fan, S. W., Chen, Yu, and Yang, L.
- Abstract
Utilizing a hybrid functional method, the transparency and p-type conductivity of BeSe are investigated. Our studies confirm that N- and P-substituted Se (labeled as NSeand PSe) are promising p-type defects due to their smaller ionization energy. BeN2and BeP2are efficient dopant sources for their moderate formation energy. Based on the thermodynamic equilibrium fabrication method together with the rapidly quenching scheme, we find the hole density, induced by NSe(PSe) defects, can reach 4.44 × 1018(3.83 × 1016) cm–3. A high density of holes, smaller hole effective mass (along the Γ-X and W-X directions, the hole effective masses are 0.466 and 0.759m0(m0is the electron’s static mass)), wide band gap, and weak plasmonic effect show that BeSe with NSedefects is an excellent transparent p-type semiconductor. These findings provide significant insight to explore a transparent p-type semiconductor.
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- 2022
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29. Inhibition of microRNA-543 alleviates sepsis-induced acute kidney injury via targeting Bcl-2.
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ZHANG, W.-Q., WANG, H.-J., LI, Y.-Z., DU, X.-F., HAO, X.-L., JIANG, H.-M., and YANG, L.-H.
- Abstract
OBJECTIVE: Sepsis has a high morbidity and mortality and is prone to cause acute kidney injury (AKI). Here, we aimed to demonstrate the function and molecular mechanism of microRNA-543 (miR-543) in septic AKI. MATERIALS AND METHODS: MiR-543 inhibitor or NC was transfected into LPS-treated HK-2 cells to observe lipopolysaccharide (LPS)-induced inflammation and apoptosis. The detection of inflammation and apoptosis of HK-2 cells relies on Western blot, quantitative Reverse-Transcription Polymerase Chain Reaction (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), Cell Counting Kit-8 (CCK-8) assay, flow cytometry, and terminal deoxynucleotidyl transferase (TdT)-mediated dUTP nick end labeling (TUNEL) staining. RESULTS: MiR-543 expression was increased in LPS-treated HK-2 cells. By transfecting miR-543 inhibitor into HK-2 cells, miR-543 expression was dramatically reduced. The downregulation of miR-543 remarkably inhibited the inflammation and apoptosis, which was manifested by the reduction of inflammatory cytokines (TNF-a, IL-6, IL-1ß), the reversal of apoptosis-related proteins expression (Bcl-1, Bax), the increase of cell viability and the decrease of the proportion of apoptotic cells. The result of Luciferase activity assay demonstrated that miR-543 directly targets Bcl-2. CONCLUSIONS: MiR-543 expression was increased in LPS-treated HK-2 cells, and silencing miR-543 could inhibit LPS-induced inflammation and apoptosis in HK-2 cells via targeting Bcl-2. [ABSTRACT FROM AUTHOR]
- Published
- 2022
30. LB918 Analysis of National Inpatient Sample to characterize admissions for pediatric patients with dystrophic epidermolysis bullosa
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Yang, L., Molnar, B. Abreu, Paller, A., and Ren, Z.
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- 2024
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31. 393 H3K9me3 methyltransferase SETDB1 controls retrotransposon silencing, constitutive heterochromatin maintenance and higher order-chromatin structure in epidermal keratinocytes
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Rozhkova, E., Chen, G., Yang, L., Fatima, I., Lau, N., Botchkarev, V.A., and Sharov, A.
- Published
- 2024
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32. 334 Psychosocial impact of aging skin: Exploring age-related differences
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Yang, L. and Kundu, R.V.
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- 2024
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33. Competing Influences of Earthward Convection and Azimuthal Drift Loss on the Pitch Angle Distribution of Energetic Electrons
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Yuan, H. C., Li, L. Y., Yang, L., and Cao, J. B.
- Abstract
Utilizing the multi‐point observations by Van Allen Probe A, GOES 13 and 15, we analyzed the competing influences of earthward convection and azimuthal drift loss on the pitch angle distributions of energetic electrons during the simultaneous increases in solar wind flow velocity and pressure. The increase in solar wind speed amplifies the dawn‐dusk convection electric field and causes the earthward transport of energetic electrons, and meanwhile the enhancement of solar wind dynamic pressure causes the inward displacement of dayside magnetopause and triggers the azimuthal drift loss of energetic electrons. The earthward convection of low‐energy electrons (<60 keV) is much faster than their azimuthal drift loss at most pitch angles, and the fast earthward convections make the butterfly‐like electron pitch angle distributions formed early become pancake‐like distributions. The 60–530 keV electrons maintain the butterfly‐like pitch angle distributions during the earthward convections, whereas the high‐energy electrons above 530 keV are not transported to the low‐L shells because of fast drift loss in the high‐L source region. The competition between the earthward convection and the azimuthal drift loss finally determines the pitch angle distributions of energetic electrons near the trapping boundary during the increases in solar wind flow speed and pressure. Previous studies mainly focus on the butterfly‐like electron pitch angle distributions caused by magnetopause shadowing (drift loss) during the enhancement of solar wind dynamic pressure. However, it is not clear how the electron pitch angle distributions respond to the simultaneous increases in solar wind flow speed and pressure. Here, we found that the pitch angle distributions of different‐energy electrons display different responses to the simultaneous increases in solar wind flow speed and density/pressure. The different electron pitch angle distributions are due to different competitions between the electron drift loss and earthward convection. These results improve our understanding to the formation mechanisms of different electron pitch angle distributions during the simultaneous increases in solar wind flow speed and pressure. Increases in solar wind flow speed and dynamic pressure cause the earthward convection and azimuthal drift loss of energetic electronsThe fast earthward convections of low‐energy electrons (<60 keV) flatten their butterfly‐like pitch angle distributions formed earlyThe energetic electrons above 60 keV maintain butterfly‐like distributions because of the fast azimuthal drift loss in high‐L source region Increases in solar wind flow speed and dynamic pressure cause the earthward convection and azimuthal drift loss of energetic electrons The fast earthward convections of low‐energy electrons (<60 keV) flatten their butterfly‐like pitch angle distributions formed early The energetic electrons above 60 keV maintain butterfly‐like distributions because of the fast azimuthal drift loss in high‐L source region
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- 2024
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34. Empirical Model of the Lowest Cutoff Altitude of Global Hiss Near Magnetic Equator
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Li, L. Y., Yang, L., Cheng, K. X., Cao, J. B., Yang, J. Y., and Berthelier, J. J.
- Abstract
Van Allen Probe observations indicate that whistler‐mode hiss waves below 1 kHz are absorbed at low altitudes near magnetic equator. The lowest cutoff frequency of equatorial hiss is close to the gyrofrequency of hydrogen ions. The lowest cutoff altitude of global hiss is extracted when its occurrence rate is equal to 0.005 on the plane of altitude (Lin RE) and magnetic local time (MLT). By fitting the lowest cutoff altitude of global hiss, we constructed the empirical model of the lowest cutoff altitude of equatorial hiss under geomagnetically quiet (AE < 200 nT) and active (AE ≥ 200 nT) conditions. The enhanced substorm activities reduce the lowest cutoff altitude of hiss waves on the dawnside (MLT ∼ 1–5 hr), whereas the lowest cutoff altitude of the dayside hiss is nearly fixed at ∼1.1 RE(MLT ∼ 6–20 hr). From the dayside to the nightside (MLT ∼ 0–6 hr and 20–24 hr), the lowest cutoff altitude of equatorial hiss raises gradually from 1.1 REto 1.4 RE. Plasmaspheric hiss can cause the scattering loss of Earth's radiation belt electrons via wave‐particle resonant interactions and creates a slot region relatively safe for satellites. Thus, their spatial distribution is a key parameter controlling the dynamics of radiation belts. Although the outer boundary of hiss waves can be estimated with the empirical plasmapause location, there is no any empirical model to quantificationally describe their inner boundary. Here, based on the Van Allen Probe observations, we constructed empirical models to estimate the lowest cutoff altitude of global hiss under different geomagnetic conditions. The new empirical models provide an inner boundary for simulating the resonant interactions between hiss waves and high‐energy electrons. The lowest cutoff altitude of global hiss is quantificationally examined with Van Allen Probes observations near the magnetic equatorThe lowest cutoff altitude of equatorial hiss is nearly fixed at L∼ 1.1 on the dayside, but changes between L∼ 1.1–1.4 on the nightsideNew empirical models are constructed to estimate the lowest cutoff altitude of global hiss under different geomagnetic conditions The lowest cutoff altitude of global hiss is quantificationally examined with Van Allen Probes observations near the magnetic equator The lowest cutoff altitude of equatorial hiss is nearly fixed at L∼ 1.1 on the dayside, but changes between L∼ 1.1–1.4 on the nightside New empirical models are constructed to estimate the lowest cutoff altitude of global hiss under different geomagnetic conditions
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- 2024
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35. First report of Diaporthe eres causing white spot of maize in China.
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Yang, L., Lei, R., Yang, X.L., Zhang, Y.J., and Wu, P.S.
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FOOD crops ,CORN ,MYCOSES ,RAW materials ,FARMS ,LEAF spots - Abstract
Maize (Zea Mays L.) is one of China's most widely grown cereals, a crucial food crop, and a vital source of feed and raw materials for various industries. In March 2023, a disease with typical white spot symptoms was observed on maize across 40% of the planted area in a farm field in Jiangcheng Hani and Yi Autonomous County, Yunnan Province, China. The disease initially showed water-soaked patches on leaves, which eventually faded to dark brown, forming irregular spots with yellow to brownish margins. The Dns14-1 strain, isolated from infected leaves, was identified as Diaporthe eres based on morphological and molecular identification. Pathogenicity tests found it to be one of the causal agents of white spots on maize leaves. To our knowledge, this is the first report of D. eres causing white spots on maize in China. • Diaporthe eres was firstly reported to cause white leaf spots on maize. • The white leaf spot of maize could cause by multiple fungal infections. • Environmental factors could be considered when formulating management measures. [ABSTRACT FROM AUTHOR]
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- 2024
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36. The role of gender bias in patient ratings of minimally invasive gynecologic surgeons.
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Urbina, P, Yang, L, Swartz, S, and Emeka, A
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SEX discrimination ,SURGEONS - Published
- 2024
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37. Effect of tirofiban in treating patients with progressive ischemic stroke.
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DU, N., WANG, L.-X., LIU, Y.-L., YIN, X.-L., ZHAO, J.-S., and YANG, L.
- Abstract
OBJECTIVE: Our aim is to investigate the efficacy and safety of tirofiban in the treatment of patients experiencing progressive ischemic stroke (PIS). PATIENTS AND METHODS: A retrospective analysis was performed on the clinical data of 150 patients with ischemic stroke admitted to our hospital from May 2018 to December 2019. All the patients were divided into two groups according to different treatment methods. In Control group, conventional comprehensive treatment and antiplatelet therapy with aspirin + clopidogrel were conducted, while tirofiban was administered in Tirofiban group in addition to the treatments in Control group. Neurological deficits were scored by means of the National Institutes of Health Stroke Scale (NIHSS) at the time of progression and 30 d after treatment, and the modified Rankin Scale (mRS) and Activity of Daily Living (ADL) scale were employed to assess prognosis at 90 d after treatment. Thereafter, the platelet aggregation rate, platelet adhesion rate, plateletcrit (PCT), platelet distribution width (PDW), and platelet inhibition rate were measured before and after treatment. Finally, the patients were followed up, and the occurrence of hemorrhage events during treatment and within 90 d after discharge was recorded. RESULTS: After treatment, all the patients had significantly lower NIHSS and mRS scores and a dramatically higher Barthel index (BI) than those before treatment (p<0.001). At 90 d after treatment, Tirofiban group exhibited significantly higher BI (p<0.001) and lower mRS score than Control group (p=0.011). In addition, at 14 d after treatment, the clinical efficacy was assessed for all the patients. It was found that the overall response rate in Tirofiban group was substantially higher than that in Control group [82.7% (62/75) vs. 64.0% (48/75), p=0.009]. At 7 d after treatment, the PCT and adenosine diphosphate (ADP) platelet inhibition rate in Tirofiban group were markedly higher than those in Control group (p=0.006, p<0.001), and Tirofiban group had remarkably lower measured values of platelet aggregation rate, platelet adhesion rate and PDW than Control group (p=0.007, p=0.021, p<0.001). After treatment, the levels of serum IL-6 and hs-CRP declined notably in the two groups of patients, and the differences in their levels at 2 and 14 d after treatment between the two groups were statistically significant (p<0.05). During treatment and within 90 d after discharge, both groups of patients had no cerebral hemorrhage, gastrointestinal hemorrhage, and severe hemorrhage adverse events requiring blood transfusion, but they experienced subcutaneous ecchymosis, epistaxis, gingival hemorrhage, and hemorrhage around the infarct, which were improved after symptomatic treatment. Moreover, the occurrence rate of hemorrhage in Tirofiban group was higher than that in Control group, showing no statistically significant difference (p>0.05). CONCLUSIONS: Tirofiban combined with conventional basic treatment can greatly improve neurological deficits and disease outcomes, alleviate platelet adhesion, and reduce platelet activation without increasing the risk of hemorrhage in PIS patients. [ABSTRACT FROM AUTHOR]
- Published
- 2022
38. Changes of brain-derived neurotrophic factors in rats with generalized anxiety disorder before and after treatment.
- Author
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YIN, X.-L., MA, Y.-Y., LIU, Y.-L., WANG, L.-X., DU, N., and YANG, L.
- Abstract
OBJECTIVE: The aim of the current study was to investigate the association between brain-derived neurotrophic factor (BDNF) and generalized anxiety disorder (GAD). MATERIALS AND METHODS: A total of sixty male adult Wistar rats with similar body weight and age were randomly divided into 3 groups the blank control group (CON, n=20), the saline control group (SAL, n=20), and the combined medication group (Deanxit +fluoxetine, DF, n=20), then rats in group SAL and group DF were prepared for model of anxiety disorder for 14 days. The body weight, center-retention time (CRT) and square-crossover number per unit time (SCN) were compared during modeling to define the anxiety of rats on day 1, day 7 and day 14; the BDNF mRNA in brain were detected by RT-PCR and the protein of BDNF in brain were detected by immunohistochemistry before and after intervention. The body weight, CRT and SCN in group SAL and DF after modeling were decreased with time compared with CON (p<0.05). The rats were taken euthanasia after 14 days, the BDNF mRNA showed significant decrease in SAL group (0.58±0.07) compared with group CON (2.87±0.23), while in DF group (1.76±0.21), the BDNF mRNA were higher than SAL group but lower than CON (p<0.05); the BDNF positive cells in group CON was highest (90%), then was group DF (75%) and group SAL was the lowest (35%). RESULTS: The changes in the indexes of the rats among different groups before and after modeling showed that after modeling, the body weights of the rats in group SAL and group DF were lower than group CON, the CRT decreased, and the SCN increased. The differences were statistically significant (p < 0.05), indicating that the combined medication (Qilixin + fluoxetine) can improve anxiety symptoms (body weight, CRT, and SCN). CONCLUSIONS: Anti-anxiety drugs (Deanxit+ fluoxetine) can improve anxiety symptoms of rats and increase the expressions of BDNF mRNA and protein in rat brain cells. Anxiolyt ic drugs (Deanxit+fluoxetine) may achieve the treatment of anxiety disorders through improving the 5-HT nervous system and the expressions of BDNF mRNA and protein. BDNF can be used as a biochemical indicator for the diagnosis and efficacy evaluation of GAD. [ABSTRACT FROM AUTHOR]
- Published
- 2022
39. Local anesthesia with sedation and general anesthesia for the treatment of chronic subdural hematoma: a systematic review and meta-analysis.
- Author
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LIU, H.-Y., YANG, L.-L., DAI, X.-Y., and LI, Z.-P.
- Abstract
OBJECTIVE: Drilling and drainage is the main treatment for chronic subdural hematoma (cSDH). However, anesthesia methods also have an important effect on patients' postoperative outcomes. The clinical effect of drainage of cSDH under local anesthesia with sedation (LAS) and general anesthesia (GA) was systematically evaluated. MATERIALS AND METHODS: A literature study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for studies that compare LAS and GA for cSDH. The following treatment outcomes were compared between LAS and GA: total duration of surgery, postoperative complications, mortality, recurrence rate, and hospital length of stay (LOS). RESULTS: Four papers (n = 391, LAS: 196, GA: 195) met the inclusion criteria. Although there was no statistically significant difference between the two groups in mortality (OR: 0.47, 95% CI: 0.06-3.84, p = 0.48; p = 0.2, I2 = 39%), recurrence rate (OR: 0.82, 95% CI: 0.33-2.04, p = 0.66; p = 0.69, I2 = 0%), LOS (ratio of means: 0.86, 95% CI: 0.71-1.05, p = 0.14; p = 0.02, I2 = 75%). The total duration of surgery (MD: -26.71 min, 95% CI: -37.29 to -16.13, p < 0.00001; p = 0.65, I2 = 0%) was significantly shorter and the number of postoperative complications was significantly lower in the LAS group compared with the GA group (OR: 0.25, 95% CI: 0.13-0.50, p < 0.0001; p= 0.62, I2 = 0%). CONCLUSIONS: A systematic review and meta-analysis of the existing literature showed that LAS reduces the total duration of surgery and postoperative complications compared to GA. No significant difference in mortality, recurrence rate, and LOS was observed between the two groups. [ABSTRACT FROM AUTHOR]
- Published
- 2022
40. Imaging-anatomic Measurements of Carotid Artery Bifurcation.
- Author
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Duan, S., Li, J., CHI, J., Yang, L., Lv, S., and Huang, Y.
- Abstract
Objective: To have anatomic measurements of carotid artery bifurcation (CAB) with 64-spiral computed tomography angiography (64-SCTA), and provide anatomic basis for related research. Methods: Imaging data of 92 subjects (45 males, 47 females, the age range 20-82 years and mean age 48.4 ± 6.1 years) without pathology of CAB, who underwent 64-SCTA in head and neck from June 1, 2008 to June 30, 2010, were selected from the Picture Archiving and Communication Systems in Zhongshan Hospital of Xiamen University, Fujian, China. On the 3D images, the angle and size of CAB were measured, and the statistical comparisons of measurements were made between the bilateral, sex and age groups. Results: The measurements of CAB were divided into young (= 40 years) and older (> 40 years) groups: bifurcation angle is 36.206° ± 10.210° and 49.343° ± 16.489°, respectively; the inner diameter of common carotid artery (CCA) is 6.820 ± 0.635 and 6.845 ± 0.838 mm, respectively; the proximal inner diameter of internal carotid artery (ICA) is 7.143 ± 0.992 and 7.476 ± 1.630 mm, of the enlargement is 7.568 ± 1.069 and 8.554 ± 1.733 mm, of the distal is 4.897 ± 0.508 and 5.123 ± 0.699 mm, respectively; the inner diameter of external carotid artery (ECA) is 4.324 ± 0.580 and 4.104 ± 0.638 mm, respectively. There were statistically significant differences in all the measurements between male and female groups, in the bifurcation angle, inner diameters of ICA and ECA between young and older groups, and in the bifurcation angle between the left and right (p < 0.05). Conclusion: A 64-SCTA with 3D image post-processing technique can clearly observe and show the CAB. All CAB measurements will provide the objective basis for applied anatomy, imaging diagnosis and surgery treatment. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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41. Observation of a correlated free four-neutron system
- Author
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Duer, M., Aumann, T., Gernhäuser, R., Panin, V., Paschalis, S., Rossi, D. M., Achouri, N. L., Ahn, D., Baba, H., Bertulani, C. A., Böhmer, M., Boretzky, K., Caesar, C., Chiga, N., Corsi, A., Cortina-Gil, D., Douma, C. A., Dufter, F., Elekes, Z., Feng, J., Fernández-Domínguez, B., Forsberg, U., Fukuda, N., Gasparic, I., Ge, Z., Gheller, J. M., Gibelin, J., Gillibert, A., Hahn, K. I., Halász, Z., Harakeh, M. N., Hirayama, A., Holl, M., Inabe, N., Isobe, T., Kahlbow, J., Kalantar-Nayestanaki, N., Kim, D., Kim, S., Kobayashi, T., Kondo, Y., Körper, D., Koseoglou, P., Kubota, Y., Kuti, I., Li, P. J., Lehr, C., Lindberg, S., Liu, Y., Marqués, F. M., Masuoka, S., Matsumoto, M., Mayer, J., Miki, K., Monteagudo, B., Nakamura, T., Nilsson, T., Obertelli, A., Orr, N. A., Otsu, H., Park, S. Y., Parlog, M., Potlog, P. M., Reichert, S., Revel, A., Saito, A. T., Sasano, M., Scheit, H., Schindler, F., Shimoura, S., Simon, H., Stuhl, L., Suzuki, H., Symochko, D., Takeda, H., Tanaka, J., Togano, Y., Tomai, T., Törnqvist, H. T., Tscheuschner, J., Uesaka, T., Wagner, V., Yamada, H., Yang, B., Yang, L., Yang, Z. H., Yasuda, M., Yoneda, K., Zanetti, L., Zenihiro, J., and Zhukov, M. V.
- Abstract
A long-standing question in nuclear physics is whether chargeless nuclear systems can exist. To our knowledge, only neutron stars represent near-pure neutron systems, where neutrons are squeezed together by the gravitational force to very high densities. The experimental search for isolated multi-neutron systems has been an ongoing quest for several decades1, with a particular focus on the four-neutron system called the tetraneutron, resulting in only a few indications of its existence so far2–4, leaving the tetraneutron an elusive nuclear system for six decades. Here we report on the observation of a resonance-like structure near threshold in the four-neutron system that is consistent with a quasi-bound tetraneutron state existing for a very short time. The measured energy and width of this state provide a key benchmark for our understanding of the nuclear force. The use of an experimental approach based on a knockout reaction at large momentum transfer with a radioactive high-energy 8He beam was key.
- Published
- 2022
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42. Common Fixed Point Theorems between Finite Families of Mappings in Intuitionistic Fuzzy Metric Spaces
- Author
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Wang, J. and Yang, L.
- Abstract
Abstract: In intuitionistic fuzzy metric spaces, under various compatible mapping conditions, we propose a common fixed point theorem for four mappings and generalize it to a common fixed point theorem for four finite families of mappings. On the basis of that, we can further extend theorems to the common fixed point theorems of six finite families of mappings.
- Published
- 2022
- Full Text
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43. Therapeutic effects of chimeric antigen receptor T cells (CAR-T) on relapse/refractory diffuse large B-cell lymphoma (R/R DLBCL): a meta-analysis.
- Author
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CAO, H.-H., WANG, L.-L., GENG, C.-K., MAO, W.-W., YANG, L.-L., MA, Y., HE, M., ZHANG, R., ZHOU, Y.-Y., LIU, L.-Q., HU, X.-J., YU, J.-X., YANG, L., SHEN, X.-F., YIN, L.-F., GU, X.-Z., and SHEN, Z.-L.
- Abstract
OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma (NHL). This study aimed to systematically evaluate the efficacy of chimeric antigen receptor T cells (CAR-T) in treating relapse/refractory DLBCL (R/R DLBCL) and associated complete-remission rate (CR). MATERIALS AND METHODS: PubMed, Cochrane Library, CNKI, VIP, CBM, and Wanfang databases were searched, and literature was collected up to January 2019. According to inclusion criteria and exclusion criteria, two researchers independently reviewed and screened literature, extracted required data and crossly checked them. This meta-analysis was conducted using RevMan 5.3 software. RESULTS: This study finally included 13 English literatures and 263 cases. There was no heterogeneity among all these studies, therefore, fixed effect model was used. Meta-analysis findings showed that total CR rate of R/R DLBCL treated with CAR-T was 46.8% (95% CI: 0.408-0.533). Subgroup analysis showed that CR rate of CD28 group was slightly higher [52.5%, with 95% confidence interval (CI): 0.441-0.602] compared to that of 4-1BB group (41.5%, with 95% CI: 0.324-0.510). CR rate of CD19 group was slightly higher (49.2%, with 95% CI: 0.429- 0.556) compared to that of CD20 group (42.2%, with 95% CI: 0.231-0.639). Funnel chart of total CR rate, co-stimulatory factor, and target antigen demonstrated fundamental symmetry. Moreover, age, HSCT administration, CAR-T cell counts, and drug pre-treatment also affected immunotherapy on CAR-T on R/R DLBCL. CONCLUSIONS: CAR-T treatment for R/R DLBCL demonstrated evident curative effect and high complete remission rate. CAR-T cell immunotherapy would be expected to become mainstream therapy for hematolymph system tumors. [ABSTRACT FROM AUTHOR]
- Published
- 2020
44. Flow and Heat Transfer Performance of Channels with 45 Degree Ribs in Staggered Array.
- Author
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Wang, Z., Yin, Y., Yang, L., Yan, L., and Luan, Y.
- Subjects
HEAT transfer ,KINETIC energy ,DISLOCATION structure ,GAS turbines ,COMPUTER simulation - Abstract
The cooling efficiency of blade is growing demand with increasing turbine inlet temperature in gas turbine development. Ribs used in cooling channels is a common cooling structure, therefore, many configurations were studied by previous literatures, including angle, spacing, shape etc. However, there are less research about the dislocation ribs structure. In this paper, the 45-deg parallel ribs, crossed ribs and dislocation ribs were investigated by numerical simulation, in order to reveal the heat transfer performance and flow mechanism. Refer to the experiment, SST k-ω model was applied in steady simulation, at Re from 20000 to 50000. Due to the angled ribs can induce the secondary flow and generate small helical vortices at front corner, heat transfer performance was elevated. The large rotating vortices influenced by the ribs arrangement occupy the center channel, thence the dislocation caused different flow and heat transfer results. The results shown that parallel rib has higher heat transfer enhancement than crossed ribs, but pressure loss possess considerable level. At Re=21587, the averaged turbulent kinetic energy of Case2.2 with dislocation ribs is 22.4% lower than parallel ribs. The all 45-deg crossed ribs present higher level of overall thermal performance, and Case2.2 is optimal for the range of Re investigated. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
45. A long non-coding RNA, ELFN1−AS1, sponges miR-1250 to upregulate MTA1 to promote cell proliferation, migration and invasion, and induce apoptosis in colorectal cancer.
- Author
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ZHAI, L.-Q., WANG, X.-X., QU, C.-X., YANG, L.-Z., JIA, C.-M., and SHI, X.-C.
- Abstract
OBJECTIVE: Long non-coding RNA (lncRNA), is essential for the development and progression of cancers. LncRNA regulates target gene expression by sponging the corresponding microRNA (miRNA) during tumorigenesis. This work aimed to explore the role of one lncRNA, ELFN1−AS1, in colorectal cancer (CRC) development and elucidate the pertinent signaling pathway. PATIENTS AND METHODS: First, we found that ELFN1−AS1 was highly abundant in the human CRC tissues and cell lines. Silence of ELFN1−AS1 expression reduced cell proliferation, colony formation, migration and invasion, while inducing apoptosis in vitro; moreover, knockdown of ELFN1−AS1 decreased the size and weight of tumor in vivo. RESULTS: Luciferase reporter assay revealed that ELFN1−AS1 interacted with miR-1205 and suppressed its expression. In addition, miR-1205 could bind to the 3ʹ untranslated region (3ʹ-UTR) of Metastasis Associated Protein1 (MTA1) and inhibited ELFN1−AS1 expression. More importantly, overexpression of MTA1 completely rescued the phenotype of ELFN1−AS1 knockdown. CONCLUSIONS: In sum, our study demonstrated that ELFN1−AS1 sponges miR-1205 to upregulate MTA1, which is essential for CRC cell proliferation, migration, and invasion as well as apoptosis induction. [ABSTRACT FROM AUTHOR]
- Published
- 2021
46. Exerimental method and preliminary studies of the passive containment water film evaporation mass transfer
- Author
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Li, C., Yang, L., Zhao, W., Zhou, S., Du, W., Gao, Z., and Li, H.
- Abstract
For larger containments and higher operation parameters, characteristics of the outside cooling of the PCCS are very important for the analysis on the containment integrity. A preliminary analysis was made and a four-step experimental method was used to numerically analyze the falling water film evaporation for the advanced passive containment. Then, the water flow stability along the outside wall of the containment was studied. The results fit well with those correlations without airflow when the air velocity is less than 5.0 m/s. However, when the air velocity is larger than 5.0 m/s, the influence of the air velocity on the water film will appear and the mean water film thickness will be thicker. Based on the prototype operation parameters, experimental studies were carried and the results were compared with the Dittus-Boelter correlation within the operation ranges. A modification factor was proposed for the conservative application of this correlation for nuclear safety analysis.
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- 2022
- Full Text
- View/download PDF
47. Reconstruction of Cherenkov image by multiple telescopes of LHAASO-WFCTA
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Aharonian, F., An, Q., Axikegu, Bai, L. X., Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Zhe, Cao, Zhen, Chang, J., Chang, J. F., Chen, E. S., Chen, Liang, Chen, Liang, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, H. L., Cheng, N., Cheng, Y. D., Cui, S. W., Cui, X. H., Cui, Y. D., D’Ettorre Piazzoli, B., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Duan, K. K., Fan, J. H., Fan, Y. Z., Fan, Z. X., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, J. G., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, S. L., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S., Hu, S. C., Hu, X. J., Huang, D. H., Huang, W. H., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Levochkin, K., Li, B. B., Li, Cheng, Li, Cong, Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. S., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Long, W. J., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Masood, A., Min, Z., Mitthumsiri, W., Nan, Y. C., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shi, J. Y., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Z. B., Tian, W. W., Wang, B. D., Wang, C., Wang, H., Wang, H. G., Wang, J. C., Wang, J. S., Wang, L. P., Wang, L. Y., Wang, R., Wang, R. N., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Y. P., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. X., Xue, L., Yan, D. H., Yan, J. Z., Yang, C. W., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zeng, Z. K., Zha, M., Zhai, X. X., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, Lu, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Y. L., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, Y., Zhou, B., Zhou, H., Zhou, J. N., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
- Abstract
Introduction: One of main scientific goals of the Large High Altitude Air Shower Observatory (LHAASO) is to accurately measure the energy spectra of different cosmic ray compositions around the ‘knee’ region. The Wide Field-of-View (FoV) Cherenkov Telescope Array (WFCTA), which is one of the main detectors of LHAASO and has 18 telescopes, is built to achieve this goal. Multiple telescopes are put together and point to connected directions for a larger FoV. Method: Telescopes are deployed spatially as close as possible, but due to their own size, the distance between two adjacent telescopes is about 10 m. Therefore, the Cherenkov lateral distribution and the parallax between the two telescopes should be considered in the event building process for images crossing over the boundaries of FoVs of the telescopes. An event building method for Cherenkov images measured by multiple telescopes of WFCTA is developed. The performance of the shower measurements using the combined images is evaluated by comparing with showers that are fully contained by a virtual telescope in simulation. Results and conclusion: It is proved that the developed event building process can help to increase the FoV of WFCTA by 30% while maintaining the same reconstruction quality, compared to the separate telescope reconstruction method.
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- 2022
- Full Text
- View/download PDF
48. Monetite, an important calcium phosphate compound–Its synthesis, properties and applications in orthopedics.
- Author
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Zhou, H., Yang, L., Gbureck, U., Bhaduri, S.B., and Sikder, P.
- Subjects
CALCIUM phosphate ,BONE growth ,BIOMATERIALS ,REGENERATIVE medicine ,ORTHOPEDICS ,VIBRATIONAL spectra ,BONE cements - Abstract
This review recognizes a unique calcium phosphate (CaP) phase known as monetite or dicalcium phosphate anhydrous (DCPA, CaHPO 4), and presents an overview of its properties, processing, and applications in orthopedics. The motivation for the present effort is to highlight the state-of-the-art research and development of monetite and propel the research community to explore more of its potentials in orthopedics. After a brief introduction of monetite, we provide a summary of its various synthesis routes like dehydration, solvent-based, energy-assisted processes and also discuss the formation of different crystal structures with respect to the synthesis conditions. Subsequently, we discuss the material's noteworthy physico-chemical properties including the crystal structure, vibrational spectra, solubility, thermal decomposition, and conversion to other phases. Of note, we focus on the biological (in vitro and in vivo) properties of monetite, given its ever-increasing popularity as a biomaterial for medical implants. Appropriately, we discuss various orthopedic applications of monetite as bone cement, implant coatings, granules for defect fillers, and scaffolds. Many in vitro and in vivo studies confirmed the favorable osteointegration and osteoconduction properties of monetite products, along with a better balance between implant resorption and new bone formation as compared to other CaP phases. The review ends with translational aspects of monetite and presents thoughts about its possible future research directions. Further research may explore but not limited to improvements in mechanical strength of monetite-based scaffolds, using monetite particles as a therapeutic agent delivery, and tissue engineering strategies where monetite serves as the biomaterial. This is the first review that focusses on the favorable potential of monetite for hard tissue repair and regeneration. The article accurately covers the "Synthesis-Structure-Property-Applications" correlations elaborating on monetite's diverse material properties. Special focus is put on the in vitro and in vivo properties of the material highlighting monetite as an orthopedic material-of-choice. The synthesis techniques are discussed which provide important information about the different fabrication routes for monetite. Most importantly, the review provides comprehensive knowledge about the diverse biomedical applications of monetite as granules, defect--specific scaffolds, bone cements and implant coatings. This review will help to highlight monetite's potential as an effective regenerative medicine and catalyze the continuing translation of this bioceramic from the laboratory to clinics. [Display omitted] [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
49. Clinicopathological and prognostic value of long noncoding RNA SNHG7 in cancer patients: a meta-analysis.
- Author
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ZHU, Y., QIAN, X.-H., JI, G.-Z., and YANG, L.-H.
- Abstract
OBJECTIVE: Recent studies have provided evidence that long noncoding RNA SNHG7 is highly expressed and associated with poor clinical outcomes in cancer patients. The meta-analysis is aimed to evaluate the prognostic value of SNHG7 across various cancers. MATERIALS AND METHODS: Eligible studies about prognosis and clinicopathological features of SNHG7 expression in all kinds of tumors were collected by searching the databases of PubMed, Web of Science, Embase, Cochrane Library from inception through August 13, 2020. Odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs) from eligible studies were extracted and pooled to investigate the association between SNHG7 and survival or clinicopathology by STATA 16.0 software. RESULTS: A total of 13 studies enrolling 1029 cancer patients met the inclusion criteria in this meta-analysis. Based on the results, over-expressed SNHG7 was associated with deeper tumor invasion (OR: 2.76; 95% CI: 1.98-3.86; p: 0.000), earlier lymphatic metastasis (OR: 4.22; 95% CI: 3.04-5.86; p: 0.000), more advanced tumor stage (OR: 3.49; 95% CI: 2.45-4.98; p: 0.000) and poor histologic grade (OR: 2.23; 95% CI: 1.33-3.74; p: 0.002), but not with sex, age, tumor size and distant metastasis. As for prognosis, patients with high expression of SNHG7 were more likely to have shorter overall survival (OS) (HR: 1.64; 95% CI: 1.38-1.94; p: 0.000) and disease- free survival (DFS) (HR: 1.37; 95% CI: 1.09- 1.71; p: 0.006). CONCLUSIONS: SNHG7 may serve as a novel biomarker in terms of predicting prognosis and clinicopathological characters in various human cancers. [ABSTRACT FROM AUTHOR]
- Published
- 2021
50. Line-of-shower trigger method to lower energy threshold for GRB detection using LHAASO-WCDA
- Author
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Aharonian, F., An, Q., Axikegu, Bai, L. X., Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, H., Cai, J. T., Cao, Z., Cao, Z., Chang, J., Chang, J. F., Chang, X. C., Chen, B. M., Chen, J., Chen, L., Chen, L., Chen, L., Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, X. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Volpe, D. della, Piazzoli, B. D’Ettorre, Dong, X. J., Fan, J. H., Fan, Y. Z., Fan, Z. X., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, Y. L., Gao, B., Gao, C. D., Gao, Q., Gao, W., Ge, M. M., Geng, L. S., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, J. G., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. C., He, S. L., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, C., Hou, X., Hu, H. B., Hu, S., Hu, S. C., Hu, X. J., Huang, D. H., Huang, Q. L., Huang, W. H., Huang, X. T., Huang, Z. C., Ji, F., Ji, X. L., Jia, H. Y., Jiang, K., Jiang, Z. J., Jin, C., Kuleshov, D., Levochkin, K., Li, B. B., Li, C., Li, C., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, K., Li, W. L., Li, X., Li, X., Li, X. R., Li, Y., Li, Y. Z., Li, Z., Li, Z., Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. S., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y. N., Liu, Z. X., Long, W. J., Lu, R., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Masood, A., Mitthumsiri, W., Montaruli, T., Nan, Y. C., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Ruffolo, D., Rulev, V., Sáiz, A., Shao, L., Shchegolev, O., Sheng, X. D., Shi, J. R., Song, H. C., Stenkin, Yu. V., Stepanov, V., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Z. B., Tian, W. W., Wang, B. D., Wang, C., Wang, H., Wang, H. G., Wang, J. C., Wang, J. S., Wang, L. P., Wang, L. Y., Wang, R. N., Wang, W., Wang, W., Wang, X. G., Wang, X. J., Wang, X. Y., Wang, Y. D., Wang, Y. J., Wang, Y. P., Wang, Z., Wang, Z., Wang, Z. H., Wang, Z. X., Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, W. X., Wu, X. F., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, G., Xiao, H. B., Xin, G. G., Xin, Y. L., Xing, Y., Xu, D. L., Xu, R. X., Xue, L., Yan, D. H., Yang, C. W., Yang, F. F., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Zeng, H. D., Zeng, T. X., Zeng, W., Zeng, Z. K., Zha, M., Zhai, X. X., Zhang, B. B., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, J. W., Zhang, L., Zhang, L., Zhang, L. X., Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y., Zhang, Y., Zhang, Y. F., Zhang, Y. L., Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, Y., Zhou, B., Zhou, H., Zhou, J. N., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
- Abstract
Purpose: Observation of high energy and very high emission from Gamma Ray Bursts (GRBs) is crucial to study the gigantic explosion and the underline processes. With a large field-of-view and almost full duty cycle, the Water Cherenkov Detector Array (WCDA), a sub-array of the Large High Altitude Air Shower Observatory (LHAASO), is appropriate to monitor the very high energy emission from unpredictable transients such as GRBs. Method: Nevertheless, the main issue for an extensive air shower array is the high energy threshold which limits the horizon of the detector. To address this issue a new trigger method is developed in this article to lower the energy threshold of WCDA for GRB observation. Result: The proposed method significantly improves the detection efficiency of WCDA for gamma-rays around the GRB direction at 10-300 GeV. The sensitivity of the WCDA for GRB detection with the new trigger method is estimated. The achieved sensitivity of the quarter WCDA array above 10 GeV is comparable with that of Fermi-LAT. The data analysis process and corresponding fluence upper limit for GRB 190719C is presented as an example.
- Published
- 2021
- Full Text
- View/download PDF
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