28 results on '"Su, Benli"'
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2. Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): a double-blind, randomised, placebo-controlled trial
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Elbert, Alicia, Vallejos, Augusto, Alvarisqueta, Andres, Maffei, Laura, Juncos, Luis, de Arteaga, Javier, Greloni, Gustavo, Farias, Eduardo, Zucchini, Alfredo, Vogel, Daniel, Cusumano, Ana, Santos, Juan, Fraenkel, Margaret, Gallagher, Martin, Davis, Tim, Acharya, Shamasunder, Cooke, Duncan, Suranyi, Michael, Roger, Simon, Toussaint, Nigel, Pollock, Carol, Chan, Doris, Stranks, Stephen, MacIsaac, Richard, Endre, Zoltan, Schmidt, Alice, Prager, Rudolf, Mayer, Gert, Warling, Xavier, Jadoul, Michel, Hougardy, Jean, Vercammen, Chris, Van Vlem, Bruno, Gillard, Pieter, Costa e Forti, Adriana, Borges, Joao Lindolfo, Santos Canani, Luis, Eliaschewitz, Freddy, Leite, Silmara, Fraige Filho, Fadlo, Paschoalin, Raphael, Moura Neto, Jose Andrade, Deboni, Luciane, de Lourdes Noronha, Irene, Cercato, Cintia, Prompt, Carlos Alberto, Zanella, Maria, Rassi, Nelson, D'Avila, Domingos, Milagres, Rosangela, Felicio, Joao, Pecoits Filho, Roberto, Riella, Miguel Carlos, Salles, Joao, Keitel, Elizete, Draibe, Sergio, Amodeo, Celso, Youmbissi, Joseph, Roy, Louise, Cournoyer, Serge, Jolly, Shivinder, Pichette, Vincent, Nesrallah, Gihad, Bajaj, Harpreet Singh, Khandwala, Hasnain, Aronson, Ronnie, Goluch, Richard, Tam, Paul, Rabbat, Christian, Tobe, Sheldon, Bailey, Gordon, Chow, Stephen, Castillo, Alvaro, Danin Vargas, Alfredo, Gonzalez, Fernando, Munoz, Rodrigo, Gutierrez, Vicente, Godoy, Gonzalo, Zhao, Hongwen, Liu, Zhangsuo, Zhao, Minghui, Guo, Xiaohui, Su, Benli, Fu, Shuxia, Xu, Yan, Yang, Jinkui, Shi, Bingyin, Xiao, Guanqing, Shi, Wei, Hao, Chuanming, Xing, Changying, Hou, Fanfan, Luo, Qun, Li, Yuxiu, Ji, Linong, Zuo, Li, Wang, Song, Ni, Zhaohui, Ding, Guohua, Chen, Nan, Zhao, Jiajun, Jia, Weiping, Yu, Shengqiang, Weng, Jian, Xu, Gang, Fu, Ping, Sun, Shiren, Liu, Bicheng, Ding, Xiaoqiang, Rychlik, Ivan, Oplustilova, Alexandra, Bartaskova, Dagmar, Honova, Vaclava, Chmelickova, Hana, Petr, Martin, Bucek, Petr, Tesar, Vladimir, Zahumensky, Emil, Povlsen, Johan, Egstrup, Kenneth, Oczachowska-Kulik, Anna, Rossing, Peter, Lahtela, Jorma, Strand, Jorma, Kantola, Ilkka, Petit, Catherine, Combe, Christian, Zaoui, Philippe, Esnault, Vincent, Urena Torres, Pablo, Halimi, Jean-Michel, Dussol, Bertrand, Bieler, Tasso, Budde, Klemens, Dellanna, Frank, Segiet, Thomas, Kosch, Christine, Schmidt-Guertler, Hans, Schenkenberger, Isabelle, Vielhauer, Volker, Pistrosch, Frank, Alscher, Mark, Hasslacher, Christoph, Hugo, Christian, Muehlfeld, Anja, Wanner, Christoph, Passadakis, Ploumis, Apostolou, Theofanis, Tentolouris, Nikolaos, Stefanidis, Ioannis, Mavromatidis, Konstantinos, Liakopoulos, Vasilios, Goumenos, Dimitrios, Siamopoulos, Konstantinos, Yeung, Vincent, Ozaki, Risa, Fung, Samuel, Tan, Kathryn, Tang, Sydney, Lui, Sing Leung, Cheung, Siu Fai, Sreenan, Seamus, Eustace, Joseph, O'Shea, Donal, Lavin, Peter, Stack, Austin, Yagil, Yoram, Wainstein, Julio, Knobler, Hilla, Cohen, Josef, Kenis, Irina, Daoud, Deeb, Bar-Dayan, Yosefa, Frajewicki, Victor, Adawi, Faiad, Gesualdo, Loreto, Santoro, Domenico, Marino, Francesco, Galfre, Andrea, Brunati, Chiara, Ruggenenti, Piero, Rombola, Giuseppe, Pugliese, Giuseppe, Ravera, Maura, Malberti, Fabio, Pontoriero, Giuseppe, Rampino, Teresa, De Cosmo, Salvatore, Esposito, Ciro, Nappi, Felice, Abaterusso, Cataldo, Conte, Giuseppe, Panichi, Vincenzo, Lauro, Davide, Capasso, Giovambattista, Russo, Domenico, Anzai, Jiichi, Naka, Motoji, Ato, Keita, Tsujimoto, Tetsuro, Nimura, Toshinori, Nakashima, Eitaro, Takeda, Tetsuro, Fujii, Shinya, Kobayashi, Kunihisa, Iwaoka, Hideaki, Nagayama, Koji, Harada, Hiroyuki, Maeda, Hajime, Kishimoto, Rui, Iitsuka, Tadashi, Itabashi, Naoki, Furuya, Ryuichi, Maeda, Yoshitaka, Yamada, Daishiro, Sasaki, Nobuhiro, Sasaki, Hiromitsu, Ueda, Shinichiro, Kashihara, Naoki, Watanabe, Shuichi, Nakamura, Takehiro, Kanai, Hidetoshi, Makita, Yuichiro, Ono, Keiko, Iehara, Noriyuki, Goto, Daisuke, Kosuge, Keiichiro, Tsuchida, Kenichi, Sato, Toshiaki, Sekikawa, Takashi, Okamoto, Hideki, Tanaka, Tsuyoshi, Ikeda, Naoko, Tadika, Takenobu, Mukasa, Koji, Osonoi, Takeshi, Hirano, Fuminori, Nishimura, Motonobu, Yambe, Yuko, Tanaka, Yukio, Ujihara, Makoto, Sakai, Takashi, Imura, Mitsuo, Umayahara, Yutaka, Makino, Shinya, Nakazawa, Jun, Yamaguchi, Yukinari, Kashine, Susumu, Miyaoka, Hiroaki, Suzuki, Katsunori, Inoue, Toshihiko, Nagai, Sou, Sato, Nobuyuki, Yamamoto, Masahiro, Taya, Noriyasu, Fujita, Akira, Matsutani, Akira, Shibagaki, Yugo, Sato, Yuichi, Yamauchi, Akira, Tsutsui, Masahiro, Ishiko, Tamayo, Kaneko, Shizuka, Azuma, Nobuyuki, Matsuda, Hirofumi, Hashiguchi, Yasuhiro, Onishi, Yukiko, Tokui, Mikiya, Matsuhisa, Munehide, Kiyosue, Arihiro, Shinoda, Junji, Ishikawa, Kazuo, Ahmad, Ghazali, Vijayasingham, Shalini, Aziz, Nor Azizah, Hussein, Zanariah, Fung, Yin Khet, Hassan, Wan Hasnul Halimi Wan, Wong, Hin Seng, Goh, Bak Leong, Ali, Norhaliza Mohd, Merican, Nor Shaffinaz Yusuf Azmi, Vaithilingam, Indralingam, Nik Ahmad, Nik Nur Fatnoon, Adam, Noor, Sukor, Norlela, Vengadasalam, V Paranthaman P, Abdul Kadir, Khalid, Mohamed, Mafauzy, Renoirte Lopez, Karina, Leguizamo-Dimas, Aniceto, Chew Wong, Alfredo, Chevaile-Ramos, Jose, Gonzalez Gonzalez, Jose, Rico Hernandez, Raul, Nino-Cruz, Jose, Sauque Reyna, Leobardo, Gonzalez-Galvez, Guillermo, Madero Rovalo, Magdalena, Bochicchio-Ricardelli, Tomasso, Aldrete, Jorge, Carranza-Madrigal, Jaime, Vogt, Liffert, Smak Gregoor, Peter, Barendregt, JNM, Luik, Peter, Gansevoort, Ronald, Laverman, Gozewijn, Pilmore, Helen, Lunt, Helen, Baker, John, Miller, Steven, Rabindranath, Kannaiyan, Zapata-Rincon, Luis, Vargas-Gonzales, Rolando, Calderon Ticona, Jorge, Dextre Espinoza, Augusto, Burga Nunez, Jose, Zea-Nunez, Carlos Antonio, Herrada Orue, Benjamin, Medina-Santander, Boris, Delgado-Butron, Cesar, Farfan-Aspilcueta, Julio, Mazur, Stanislaw, Necki, Miroslaw, Wruk, Michal, Klodawska, Katarzyna, Popenda, Grazyna, Skokowska, Ewa, Arciszewska, Malgorzata, Wiecek, Andrzej, Ciechanowski, Kazimierz, Nowicki, Michal, Birne, Rita, Cabrita, Antonio, Ramos, Aura, Antunes Ferreira, Manuel Anibal, Matta Fontanet, Evelyn, Alcantara-Gonzalez, Altagracia Aurora, Comulada-Rivera, Angel, Galindo Ramos, Eugenia, Cangiano, Jose, Quesada-Suarez, Luis, Calderon Ortiz, Ricardo, Vazquez-Tanus, Jose, Burgos-Calderon, Rafael, Rosado, Carlos, Hancu, Nicolae, Pintilei, Ella, Mistodie, Cristina, Bako, Gabriel, Ionutiu, Lavinia, Petrica, Ligia, Timar, Romulus, Tuta, Liliana, Duma, Livia, Tutescu, Adriana, Ivanova, Svetlana, Essaian, Ashot, Zrazhevskiy, Konstantin, Tomilina, Natalia, Smolyarchuk, Elena, Kuzin, Anatoly, Lantseva, Olga, Karpova, Irina, Shamkhalova, Minara, Liberanskaya, Natalia, Yavdosyuk, Andrey, Shvarts, Yuri, Bardymova, Tatiana, Blagoveshchenskaya, Olga, Solovev, Oleg, Rechkova, Elena, Pikalova, Natalia, Pavlova, Maria, Kolmakova, Elena, Sayfutdinov, Rustam, Villevalde, Svetlana, Koziolova, Natalya, Martynenko, Vladimir, Marasaev, Vyacheslav, Maksudova, Adelya, Sigitova, Olga, Mordovin, Viktor, Klimontov, Vadim, Samoylova, Yulia, Karonova, Tatiana, Yeoh, Lee Ying, Teo, Boon Wee, Foo, Marjorie Wai Yin, Liew, Adrian, Tkac, Ivan, Oroszova, Aniko, Fekete, Jozef, Rosenberger, Jaroslav, Obetkova, Ida, Fulopova, Alla, Kolesarova, Eva, Raslova, Katarina, Smolko, Peter, Oksa, Adrian, Distiller, Larry, Trokis, Julien, Adams, Luthando, Makan, Hemant, Ramlachan, Padaruth, Mitha, Essack, Coetzee, Kathleen, Punt, Zelda, Bhorat, Qasim, Naiker, Puvenesvari, Ellis, Graham, Van Zyl, Louis, Lee, Kwan Woo, Kim, Min Seon, Yoo, Soon-Jib, Yoon, Kun Ho, Cho, Yong-Wook, Park, Tae-Sun, Kim, Sang Yong, Choi, Moon-Gi, Oh, Tae Keun, Lee, Kang-Wook, Shon, Ho Sang, Suh, Sung Hwan, Kim, Byung-Joon, Doo-Man, Kim, Yi, Joo Hark, Lee, Sang Ah, Cho, Ho Chan, Kim, Sin-Gon, Cha, Dae-Ryong, Seo, Ji A, Choi, Kyung Mook, Woo, Jeong-Taek, Ahn, Kyu Jeung, Lee, Jae Hyuk, Kim, In-Joo, Lee, Moon-Kyu, Jang, Hak Chul, Park, Kyong-Soo, Kim, Beom Seok, Mok, Ji Oh, Shin, Mijung, Yoon, Sun Ae, Nam-Goong, Il-Seong, Chung, Choon Hee, Yu, Tae Yang, Lee, Hyoung Woo, Soto Gonzalez, Alfonso, Almirall, Jaume, Egido, Jesus, Calero Gonzalez, Francesca, Fernandez Fresnedo, Gema, Valera Cortes, Ildefonso, Praga Terente, Manuel, Garcia Mendez, Isabel, Navarro Gonzalez, Juan, Herrero Calvo, Jose, Cigarran Guldris, Secundino, Prieto Velasco, Mario, Minguela Pesquera, Jose Ignacio, Galan, Antonio, Pascual, Julio, Marques Vidas, Maria, Martins Munoz, Judith, Rodriguez-Perez, Jose, Castro-Alonso, Cristina, Bonet Sol, Josep, Seron, Daniel, Fernandez Giraldez, Elvira, Arrieta Lezama, Javier, Montero, Nuria, Hernandez-Jaras, Julio, Santamaria Olmo, Rafael, Molas Coten, Jose Ramon, Hellberg, Olof, Fellstrom, Bengt, Bock, Andreas, Pei, Dee, Lin, Ching-Ling, Tien, Kai-Jen, Chen, Ching-Chu, Huang, Chien-Ning, Jiang, Ju-Ying, Wu, Du-An, Chu, Chih-Hsun, Tseng, Shih-Ting, Chen, Jung-Fu, Bau, Cho-Tsan, Sheu, Wayne, Wu, Mai-Szu, Sari, Ramazan, Sezer, Siren, Yildiz, Alaattin, Satman, Ilhan, Kalender, Betul, Mankovskyy, Borys, Fushtey, Ivan, Stanislavchuk, Mykola, Kolenyk, Mykola, Dudar, Iryna, Zolotaikina, Viktoriia, Abrahamovych, Orest, Kostynenko, Tetyana, Petrosyan, Olena, Kuskalo, Petro, Galushchak, Olga, Legun, Oleg, Topchii, Ivan, Martynyuk, Liliya, Stryzhak, Vasyl, Panina, Svitlana, Tkach, Sergii, Korpachev, Vadym, Maxwell, Peter, Gnudi, Luigi, Kon, Sui Phin, Tindall, Hilary, Kalra, Phillip, Mark, Patrick, Patel, Dipesh, El-Shahawy, Mohamed, Bai, Liqun, Nica, Romanita, Lien, Yeong-Hau, Menefee, Judson, Busch, Robert, Miller, Alan, Ahmed, Azazuddin, Arif, Ahmed, Lee, Joseph, Desai, Sachin, Bansal, Shweta, Bentsianov, Marie, Belledonne, Mario, Jere, Charles, Gaona, Raul, Greenwood, Gregory, Brusco, Osvaldo, Boiskin, Mark, Belo, Diogo, Minasian, Raffi, Atray, Naveen, Lawrence, Mary, Taliercio, John, Pergola, Pablo, Scott, David, Alvarez, German, Marder, Bradley, Powell, Thomas, Bakdash, Wa'el, Stoica, George, McFadden, Christopher, Rendell, Marc, Wise, Jonathan, Jones, Audrey, Jardula, Michael, Madu, Ivy-Joan, Varghese, Freemu, Tulloch, Brian, Ahmed, Ziauddin, Hames, Melanie, Nazeer, Imran, Shahid, Newman, John, Rekha, Montero, Manuel, Fitz-Patrick, David, Phillips, Lawrence, Guasch, Antonio, Christofides, Elena, Gundroo, Aijaz, Amin, Mohammad, Bowman-Stroud, Cynthia, Link, Michael, Mulloy, Laura, Nammour, Michael, Lalwani, Tarik, Hanson, Lenita, Whaley-Connell, Adam, Herman, Lee, Chatha, Rupi, Osama, Sayed, Liss, Kenneth, Kayali, Zeid, Bhargava, Anuj, Israel, Ezra, Peguero-Rivera, Alfredo, Fang, Michael, Slover, Judith, Barengolts, Elena, Flores, Jose, Muoneke, Rosemary, Savin, Virginia, Awua-Larbi, Stella, Levine, Andrew, Newman, George, Golestaneh, Laden, Bohm, Guillermo, Reisin, Efrain, Cruz, Lucita, Weiss, Robert, Zieve, Franklin, Horwitz, Edward, Chuang, Peale, Mersey, James, Manley, John, Graf, Ronald, Bedros, Fadi, Joshi, Sudhir, Frias, Juan, Assefi, Ali, O'Shaughnessy, Andrew, Brantley, Roman, Minga, Todd, Tietjen, David, Kantor, Samuel, Jamal, Aamir, Guadiz, Ramon, Hershon, Kenneth, Bressler, Peter, Kopyt, Nelson, Cathcart, Harold, Bloom, Scott, Reichel, Ronald, Nakhle, Samer, Dulude, Emily, Tarkan, Joshua, Baker, Penelope, Zeig, Steven, Moya Hechevarria, Jaynier, Ropero-Cartier, Armando, De la Calle, Gilda, Doshi, Ankur, Saba, Fadi, Sligh, Teresa, Shaw, Sylvia, Kumar, Jayant, Szerlip, Harold, Bayliss, George, Perlman, Alan, Sakhrani, Lakhi, Gouge, Steven, Argoud, Georges, Acosta, Idalia, Elder, John, Joshi, Sucharit, Sensenbrenner, John, Vicks, Steven, Mangoo-Karim, Roberto, Galphin, Claude, Leon-Forero, Carlos, Gilbert, John, Brown, Eric, Ijaz, Adeel, Butt, Salman, Markell, Mariana, Arauz-Pacheco, Carlos, Sloan, Lance, Alvarado, Odilon, Jabbour, Serge, Simon, Eric, Rastogi, Anjay, James, Sam, Bakris, George, Hall, Karen, Melish, John, Dixon, Brad, Adolphe, Allen, Kovesdy, Csaba, Beddhu, Srinivasan, Solomon, Richard, Fernando, Ronald, Levin, Ellis, Thakar, Charuhas, Robey, Brooks, Goldfarb, David, Fried, Linda, Maddukuri, Geetha, Thomson, Stephen, Annand, Andrew, Kronfli, Saeed, Kalirao, Paramjit, Schmidt, Rebecca, Dahl, Neera, Blumenthal, Samuel, Weinstein, Debra, Ostergaard, Ove, Weinstein, Talia, Ono, Yasuhiro, Yalcin, Murat, Karim, Shahana, Heerspink, Hiddo J L, Parving, Hans-Henrik, Andress, Dennis L, Correa-Rotter, Ricardo, Hou, Fan-Fan, Kitzman, Dalane W, Kohan, Donald, Makino, Hirofumi, McMurray, John J V, Melnick, Joel Z, Miller, Michael G, Pergola, Pablo E, Perkovic, Vlado, Yi, Tingting, Wigderson, Melissa, and de Zeeuw, Dick
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- 2019
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3. Risk of non-fatal cardiovascular diseases in early-onset versus late-onset type 2 diabetes in China: a cross-sectional study
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Huo, Xiaoxu, Gao, Leili, Guo, Lixin, Xu, Wen, Wang, Wenbo, Zhi, Xinyue, Li, Ling, Ren, Yanfeng, Qi, Xiuying, Sun, Zhong, Li, Weidong, Ji, Qiuhe, Ran, Xingwu, Su, Benli, Hao, Chuanming, Lu, Juming, Guo, Xiaohui, Zhuo, Hanjing, Zhang, Danyi, Pan, Changyu, Weng, Jianping, Hu, Dayi, Yang, Xilin, and Ji, Linong
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- 2016
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4. The risk factors of glycemic control, blood pressure control, lipid control in Chinese patients with newly diagnosed type 2 diabetes _ A nationwide prospective cohort study
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Cai, Xiaoling, Hu, Dayi, Pan, Changyu, Li, Guangwei, Lu, Juming, Ji, Qiuhe, Su, Benli, Tian, Haoming, Qu, Shen, Weng, Jianping, Zhang, Danyi, Xu, Jie, and Ji, Linong
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- 2019
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5. Prevalence of microvascular diseases among tertiary care Chinese with early versus late onset of type 2 diabetes
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Li, Ling, Ji, Linong, Guo, Xiaohui, Ji, Qiuhe, Gu, Weijun, Zhi, Xinyue, Li, Xing, Kuang, Hongyu, Su, Benli, Yan, Jinhua, and Yang, Xilin
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- 2015
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6. shRNA-mediated knockdown of Bmi-1 inhibit lung adenocarcinoma cell migration and metastasis
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Meng, Xiuxiang, Wang, Yifang, Zheng, Xiangyu, Liu, Chunqing, Su, Benli, Nie, Huiling, Zhao, Baoxia, Zhao, Xinyu, and Yang, Hong
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- 2012
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7. Efficacy and safety of janagliflozin as add‐on therapy to metformin in Chinese patients with type 2 diabetes inadequately controlled with metformin alone: A multicentre, randomized, double‐blind, placebo‐controlled, phase 3 trial.
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Gao, Leili, Cheng, Zhifeng, Su, Benli, Su, Xiuhai, Song, Weihong, Guo, Yushan, Liao, Lin, Chen, Xiaowen, Li, Jiarui, Tan, Xingrong, Xu, Fangjiang, Pang, Shuguang, Wang, Kun, Ye, Jun, Wang, Yuan, Chen, Lili, Sun, Jingfang, and Ji, Linong
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DAPAGLIFLOZIN ,CLINICAL trials ,TYPE 2 diabetes ,CHINESE people ,HDL cholesterol ,SYSTOLIC blood pressure - Abstract
Aim: To evaluate the efficacy and safety of janagliflozin in Chinese patients with type 2 diabetes (T2D) inadequately controlled with metformin monotherapy. Materials and methods: This multicentre phase 3 trial included a 24‐week, randomized, double‐blind, placebo‐controlled period, followed by a 28‐week extension period. Patients (N = 421) with HbA1c of 7.0% or higher and 10.5% or less were randomized (1:1:1) to receive once‐daily placebo, janagliflozin 25 or 50 mg. After the 24‐week treatment period, patients on placebo were re‐randomized (1:1) to janagliflozin 25 or 50 mg for the additional 28‐week treatment, whereas patients on janagliflozin maintained the same therapy. The primary endpoint was the change from baseline in HbA1c to week 24. Results: At week 24, the placebo‐adjusted least squares mean changes of HbA1c were –0.58% and –0.58% with janagliflozin 25 and 50 mg, respectively (P <.0001 for both). The proportion of patients achieving HbA1c less than 7.0% was higher with janagliflozin 25 and 50 mg compared with placebo (41.8%, 41.7% and 28.0%, respectively). Both janagliflozin doses provided significant reductions in fasting plasma glucose, 2‐hour postprandial glucose, body weight and systolic blood pressure, and improvements in high‐density lipoprotein cholesterol and insulin sensitivity compared with placebo (P <.05 for all). The trends in improvement of these variables were retained during the 28‐week extension period. No severe hypoglycaemia occurred throughout the whole 52‐week treatment. Conclusions: Janagliflozin 25 or 50 mg once‐daily added to metformin therapy significantly improved glycaemic control, reduced body weight and systolic blood pressure, improved high‐density lipoprotein cholesterol and insulin sensitivity, and was generally well‐tolerated by Chinese T2D patients who had poor glycaemic control with metformin monotherapy. [ABSTRACT FROM AUTHOR]
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- 2023
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8. Clinical characteristics and cardiovascular disease risk in patients with diabetic painful neuropathy: an analysis from the 3B study: 778
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GAO, LEILI, JI, LINONG, JI, QIUHE, RAN, XINGWU, SU, BENLI, and WENG, JIANPING
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- 2015
9. Acarbose treatment affects the serum levels of inflammatory cytokines and the gut content of bifidobacteria in Chinese patients with type 2 diabetes mellitus
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Su, Benli, Liu, Haixia, Li, Jing, Sunli, Yongjuan, Liu, Ben, Liu, Dandan, Zhang, Ping, and Meng, Xiuxiang
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- 2015
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10. Weight-neutral effect of once-daily insulin detemir in Chinese type 2 diabetes patients: Subgroup analysis of the SOLVE study
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Pan, Changyu, Han, Ping, Ji, Linong, Ji, Qiuhe, Lu, Juming, Lin, Jing, Liu, Jie, Su, Benli, Shi, Jingmei, and Wang, Penghua
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- 2015
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11. Effectiveness of the Lilly Connected Care Program in Improving Glycemic Management Among Patients With Type 2 Diabetes in China: Retrospective Real-world Study.
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Su, Benli, Chen, Yu, Shen, Xingping, Guo, Jianchao, Ding, Yuchen, Ma, Xiao, Yang, Yuxin, and Liu, Dongfang
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TYPE 2 diabetes ,GLYCEMIC control ,PROPENSITY score matching ,MOBILE health ,CHINESE people - Abstract
Background: Type 2 diabetes mellitus (T2DM) is a worldwide public health concern. Mobile health management platforms could be a potential way to achieve effective glycemic control. Objective: This study aimed to evaluate the real-world effectiveness of the Lilly Connected Care Program (LCCP) platform in glycemic control among patients with T2DM in China. Methods: This retrospective study included Chinese patients with T2DM (aged ≥18 years) from April 1, 2017, to January 31, 2020, for the LCCP group and from January 1, 2015, to January 31, 2020, for the non-LCCP group. Propensity score matching was used to match the LCCP and non-LCCP groups to reduce confounding, with covariates including age, sex, the duration of diabetes, baseline hemoglobin A
1c (HbA1c ), and the number of oral antidiabetic medication classes. HbA1c reduction over 4 months, the proportions of patients achieving an HbA1c reduction of ≥0.5% or ≥1%, and the proportions of patients reaching to target HbA1c level of ≤6.5% or <7% were compared between the LCCP and non-LCCP groups. Multivariate linear regression was used to assess factors associated with HbA1c reduction. Results: A total of 923 patients were included, among whom 303 pairs of patients were well matched after propensity score matching. HbA1c reduction during the 4-month follow-up was significantly larger in the LCCP group than the non-LCCP group (mean 2.21%, SD 2.37% vs mean 1.65%, SD 2.29%; P =.003). The LCCP group had a higher proportion of patients with an HbA1c reduction of ≥1% (209/303, 69% vs 174/303, 57.4%; P =.003) and ≥0.5% (229/303, 75.6% vs 206/303, 68%; P =.04). The proportions of patients reaching the target HbA1c level of ≤6.5% were significantly different between the LCCP and non-LCCP groups (88/303, 29% vs 61/303, 20.1%; P =.01), whereas the difference in the proportions of patients reaching the target HbA1c level of <7% was not statistically significant (LCCP vs non-LCCP: 128/303, 42.2% vs 109/303, 36%; P =.11). LCCP participation and higher baseline HbA1c were associated with a larger HbA1c reduction, whereas older age, longer diabetes duration, and higher baseline dose of premixed insulin analogue were associated with a smaller HbA1c reduction. Conclusions: The LCCP mobile platform was effective in glycemic control among patients with T2DM in China in the real world. [ABSTRACT FROM AUTHOR]- Published
- 2023
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12. Lixisenatide treatment improves glycaemic control in Asian patients with type 2 diabetes mellitus inadequately controlled on metformin with or without sulfonylurea: a randomized, double-blind, placebo-controlled, 24-week trial (GetGoal-M-Asia)
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Pan, Chang Yu, Han, Ping, Liu, Xiaoming, Yan, Shengli, Feng, Ping, Zhou, Zhiguang, Lv, Xiaofeng, Tian, Hui, Kui, Yang Jin, Su, Benli, Shang, Shuhua, and Niemoeller, Elisabeth
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- 2014
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13. Fatty Acid Profiles and Their Association With Autoimmunity, Insulin Sensitivity and β Cell Function in Latent Autoimmune Diabetes in Adults.
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Tian, Huiqin, Wang, Shiqi, Deng, Yating, Xing, Yanke, Zhao, Lin, Zhang, Xia, Zhang, Ping, Liu, Nan, and Su, Benli
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INSULIN sensitivity ,CELL physiology ,FATTY acids ,OMEGA-3 fatty acids ,LIQUID chromatography-mass spectrometry ,AUTOIMMUNE diseases - Abstract
Background: The pathogenesis of the progressive loss of beta cell function latent autoimmune diabetes in adults (LADA) remains still elusive. We aim to study the fatty acid (FA) profile in LADA. Subjects and methods: Data from 116 patients with diabetes and GADA and 249 diabetes controls without GADA selected by Propensity Score Matching were collected. FA was analyzed with liquid chromatography-tandem mass spectrometry analysis. Results: Principal factor analysis found component 1 explains 82.6% of total variance contained fatty acids from a mixed of lard oil, seafood, and vegetable diet, followed by diet predominantly from vegetable oil, a diet of high fat diet, and a diet of seafood diet. The FA heatmap looked clearly different among the three groups with more similar type 1 (t1dm) and LADA fatty acid profile. n-3 α-linolenic acid (ALA), n-3 long chain polyunsaturated fatty acid (n-3 LC-PUFA), such as Eicosapentaenoic Acid and Docosapentaenoic Acid, n-3/n-6 ratio and triene/tetraene ratio were higher in patients with type 2 diabetes (t2dm) compared with LADA and t1dm. Saturated FAs were lower in t2dm than t1dm and LADA. Arachidic acid and n-6 LC-PUFAs were lower in t2dm than in t1dm and LADA. The characteristics of FAs in LADA were in between of classical t1dm and t2dm. Patients were classified into 6 clusters by FA clusters. Only cluster 2, 3, 5 contained enough patients to be analyzed. Cluster 5 showed an insulin deficient phenotype containing more than 60% of patients with t1dm and LADA and only 12.8% of t2dm. Cluster 2 and 3 were similar. β cell function and glycemic control was better in cluster 3 homing 25% of t2dm. Cluster 2 held 28% of t1dm and LADA, in this cluster more than 60% of patients was t2dm. n-3 linolenic acid, n-3 LC-PUFAs, some n-6 LC-PUFAs, n-3/n-6 ratio and triene/tetraene ratio were negatively associated with GADA positivity while n-6 Arachidonic Acid was associated positively with GADA. Similar findings were found for insulin sensitivity and beta cell function. Conclusion: PUFA are associated with insulin sensitivity and beta cell function, and like other clinical features, FA profile distributed differently, but could not be used as makers to differentiate LADA from t1dm and t2dm. Ethics and Dissemination: This study has been approved by the Ethical Review Committee of Second Hospital of Dalian Medical University (approval number: 2021–005). Clinical Trial Registration: none [ABSTRACT FROM AUTHOR]
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- 2022
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14. Intramuscular injection of soluble receptor for advanced glycation endproducts expression vector prevents the development of streptozotocin-induced diabetes mellitus in rats on high fat diet
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SU, Xudong, MENG, Xiuxiang, SUN, Changkai, LIU, Liping, and SU, Benli
- Published
- 2011
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15. Effect of siRNA-mediated silencing of Bmi-1 gene expression on HeLa cells
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Jiang, Yue, Su, Benli, Meng, Xiuxiang, Liu, Chunqing, Liu, Ben, Liu, Dandan, Fan, Ying, and Yang, Hong
- Published
- 2010
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16. Primacy of the 3B Approach to Control Risk Factors for Cardiovascular Disease in Type 2 Diabetes Patients
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Ji, Linong, Hu, Dayi, Pan, Changyu, Weng, Jianping, Huo, Yong, Ma, Changsheng, Mu, Yiming, Hao, Chuanming, Ji, Qiuhe, Ran, Xingwu, Su, Benli, Zhuo, Hanjing, Fox, Keith A.A., Weber, Michael, and Zhang, Danyi
- Published
- 2013
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17. Increased Fatty Acid Re-esterification by PEPCK Overexpression in Adipose Tissue Leads to Obesity Without Insulin Resistance
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Franckhauser, Sylvie, Muñoz, Sergio, Pujol, Anna, Casellas, Alba, Riu, Efren, Otaegui, Pedro, Su, Benli, and Bosch, Fatima
- Published
- 2002
18. Generation of an induced pluripotent stem cell (iPSC) line from a diabetic patient with glucagon receptor (GCGR) p.W83X mutation
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Liu, Yang, Jia, Yunbo, Lv, Jing, Sun, Dan, Yin, Yalei, Liu, Nan, Su, Benli, and Sun, Guangwei
- Published
- 2022
- Full Text
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19. Recent Advances in the Development of Vaccines for Diabetes, Hypertension, and Atherosclerosis
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Lu, Kongye, Su, Benli, and Meng, Xiuxiang
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Article Subject - Abstract
Vaccines are commonly used in the prevention of infectious diseases. The basic principle of vaccination is to use specific antigens, endogenous or exogenous to stimulate immunity against the specific antigens or cells producing them. Autoantigen or oligo vaccination has been used for disease animal models. More recently humanized monoclonal antibodies have been successfully used for the treatment of neoplastic disorders or familial hypercholesterolemia. Humanized monoclonal antibody therapy needs repeated injection, and the therapy is expensive. Therapeutic vaccination can lead to persistent immunized or immune tolerant against the therapeutic molecule(s) or site. However, immunization against those endogenous substances may also elicit persistent autoimmune reaction or destruction that do harm to health. Therefore, rigorous studies are needed before any clinical application. In this review, we briefly reviewed vaccines used in protection against common metabolic diseases including atherosclerosis, hypertension, and diabetes mellitus.
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- 2018
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20. Evaluation of effectiveness of treatment paradigm for newly diagnosed type 2 diabetes patients in Chin: A nationwide prospective cohort study.
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Cai, Xiaoling, Hu, Dayi, Pan, Changyu, Li, Guangwei, Lu, Juming, Ji, Qiuhe, Su, Benli, Tian, Haoming, Qu, Shen, Weng, Jianping, Zhang, Danyi, Xu, Jie, and Ji, Linong
- Subjects
TYPE 2 diabetes ,PEOPLE with diabetes ,TREATMENT effectiveness ,LONGITUDINAL method ,COHORT analysis - Abstract
Aims/Introduction: Data of nationwide glycemic control and hypoglycemic treatment patterns in newly diagnosed type 2 diabetes patients in China are absent. The aim of this study was to assess the evolution of treatment patterns for newly diagnosed type 2 diabetes patients and the clinical outcomes during 12‐month follow up. Materials and Methods: This is an observational prospective cohort study with 12 months of follow up. Patients with a diagnosis of type 2 diabetes for <6 months were enrolled. Glycated hemoglobin A1c (HbA1c) levels and hypoglycemic treatment patterns were collected at baseline and at every 3 months of follow up. Results: A total of 79 hospitals were recruited, consisting of 5,770 participants. The mean HbA1c was 8.4 ± 2.5% at baseline, and decreased to 6.7 ± 1.2% at 12 months with 68.5% of patients achieving HbA1c <7%. At baseline, 44.6% of the patients were without hypoglycemic medications, 37.7% had oral hypoglycemic agents and 17.7% received insulin treatment. Determinants of change in HbA1c were treatment patterns, comorbidities, baseline characteristics such as obesity and smoking, regions, and tiers of hospitals. Associated factors with treatment alterations were time of follow up, treatment patterns, patient‐reported reasons such as the economic factors and poor efficacy. Conclusions: In newly diagnosed type 2 diabetes patients, compared with patients without medications, patients with one oral hypoglycemic agent had higher possibilities of reaching glycemic control, whereas patients using insulin had lower possibilities of reaching the target. Factors associated with change in HbA1c and treatment alterations were also revealed. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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21. Prevalence of Obesity and Its Influence on Achievement of Cardiometabolic Therapeutic Goals in Chinese Type 2 Diabetes Patients: An Analysis of the Nationwide, Cross-Sectional 3B Study.
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Zhou, Xianghai, Ji, Linong, Ran, Xingwu, Su, Benli, Ji, Qiuhe, Pan, Changyu, Weng, Jianping, Ma, Changsheng, Hao, Chuanming, Zhang, Danyi, Hu, Dayi, and null, null
- Subjects
OBESITY ,PEOPLE with diabetes ,DISEASE prevalence ,HEALTH of Chinese people ,CROSS-sectional method ,BLOOD sugar - Abstract
Background: There are few data on the prevalence of obesity and its influence on achieving blood glucose, blood pressure, and blood lipid (3B) goals in Chinese type 2 diabetes outpatients. Methods: Patient demographic data, anthropometric measurements, medications, and blood glucose and lipid profiles of 24,512 type 2 diabetes patients from a large, geographically diverse study (CCMR-3B) were analyzed. Using cut-points for body mass index (BMI) and waist circumference (WC) recommended by the Working Group on Obesity in China, overweight and obesity were defined as BMIs of 24–27.9kg/m
2 and ≥28.0kg/m2 . Central obesity was defined as a waist circumference ≥80cm in women and ≥85cm in men. The 3B therapeutic goals were HbA1c<7.0%, BP<140/90mmHg and LDL-C<2.6mmol/L. Results: Overall, 43.0% of type 2 diabetes patients were overweight and 16.7% were obese; 13.3% of overweight and and10.1% of obese patients achieved all the 3B target goals. Overweight or obese patients were less likely to achieve 3B goals than those with normal BMIs. More than a half the overweight or obese patients (69.6%) were centrally obese. Patients with abdominal obesity were less likely to achieve cardiometabolic targets than those without abdominal obesity. In multivariate logistic regression analysis, female, higher BMI and waist circumference, smoking, drinking, sedentary lifestyle, and longer diabetes duration were significantly correlated with failure to achieve 3B control goals. Conclusions: Obesity is highly prevalent and associated with poor 3B control in Chinese type 2 diabetes patients. In clinical practice, more attention and resources should focus on weight loss for such patients. [ABSTRACT FROM AUTHOR]- Published
- 2016
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22. Positive hepatitis B surface antibody is associated with reduced risk of diabetes mellitus in retired female Chinese workers 中国女性退休职工的乙型肝炎表面抗体阳性与糖尿病风险降低相关
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Li, Ming, Zhou, Hui, Guan, Yufeng, Peng, Haiying, Wang, Shunyu, Zhang, Ping, and Su, Benli
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DIABETES risk factors ,HEPATITIS B ,IMMUNOGLOBULINS ,GLUCOSE tolerance tests ,BLOOD testing ,PHYSIOLOGY ,DISEASE risk factors - Abstract
Copyright of Journal of Diabetes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2016
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23. Plasma Metabolomic Profiling of Patients with Diabetes-Associated Cognitive Decline.
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Zhang, Lin, Li, Meng, Zhan, Libin, Lu, Xiaoguang, Liang, Lina, Su, Benli, Sui, Hua, Gao, Zhengnan, Li, Yuzhong, Liu, Ying, Wu, Benhui, and Liu, Qigui
- Subjects
METABOLOMICS ,COGNITION disorders ,DIABETES complications ,BURDEN of care ,METABOLIC disorders ,QUALITY of life - Abstract
Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes, seriously affect the quality of life in patients and increase family burden. Although the initial stage of DACD can lead to metabolic alterations or potential pathological changes, DACD is difficult to diagnose accurately. Moreover, the details of the molecular mechanism of DACD remain somewhat elusive. To understand the pathophysiological changes that underpin the development and progression of DACD, we carried out a global analysis of metabolic alterations in response to DACD. The metabolic alterations associated with DACD were first investigated in humans, using plasma metabonomics based on high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis. The related pathway of each metabolite of interest was searched in database online. The network diagrams were established KEGGSOAP software package. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic accuracy of metabolites. This is the first report of reliable biomarkers of DACD, which were identified using an integrated strategy. The identified biomarkers give new insights into the pathophysiological changes and molecular mechanisms of DACD. The disorders of sphingolipids metabolism, bile acids metabolism, and uric acid metabolism pathway were found in T2DM and DACD. On the other hand, differentially expressed plasma metabolites offer unique metabolic signatures for T2DM and DACD patients. These are potential biomarkers for disease monitoring and personalized medication complementary to the existing clinical modalities. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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24. Lixisenatide treatment improves glycaemic control in Asian patients with type 2 diabetes mellitus inadequately controlled on metformin with or without sulfonylurea: a randomized, double-blind, placebo-controlled, 24-week trial (GetGoal-M-Asia).
- Author
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Yu Pan, Chang, Han, Ping, Liu, Xiaoming, Yan, Shengli, Feng, Ping, Zhou, Zhiguang, Lv, Xiaofeng, Tian, Hui, Jin Kui, Yang, Su, Benli, Shang, Shuhua, and Niemoeller, Elisabeth
- Abstract
Background This study assessed the efficacy and safety of the once-daily glucagon-like peptide-1 receptor agonist, lixisenatide, in Asian patients with type 2 diabetes mellitus inadequately controlled on metformin ± sulfonylurea. Methods In this 24-week, double-blind, placebo-controlled, multinational study, patients were randomized to lixisenatide 20 µg once daily or placebo. The primary endpoint was absolute change in glycated haemoglobin (HbA
1c ) from baseline to week 24. Results A total of 391 patients were randomized. Lixisenatide significantly reduced HbA1c levels compared with placebo (LS mean difference: −0.36%, p = 0.0004). A significantly higher proportion of lixisenatide-treated patients achieved HbA1c targets of <7% ( p = 0.003) and ≤6.5% ( p = 0.001) versus placebo. Lixisenatide was associated with a statistically significant reduction in 2-h postprandial plasma glucose after a standardized breakfast versus placebo (LS mean difference: −4.28 mmol/L, p < 0.0001) and a significant reduction in fasting plasma glucose ( p = 0.0109). There was no difference in weight loss versus placebo, with a modest reduction in body weight reported for both groups (lixisenatide: −1.50 kg, placebo: −1.24 kg; p = 0.296). The incidence of treatment-emergent adverse events (TEAEs) was 64.3% with lixisenatide versus 47.4% with placebo, with serious TEAEs reported in 1.5% versus 2.1% of patients, respectively. The most common TEAE in the lixisenatide group was nausea (16.3% vs 2.6% with placebo). The incidence of symptomatic hypoglycaemia was 5.6% with lixisenatide treatment and 2.6% with placebo ( p = 0.1321), with no severe symptomatic hypoglycaemia events reported. Conclusions In Asian patients with type 2 diabetes mellitus insufficiently controlled on metformin ± sulfonylurea, lixisenatide significantly improved glycaemic control and was well tolerated during the 24-week study. © 2014 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]- Published
- 2014
- Full Text
- View/download PDF
25. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study.
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Zhang Y, Shi J, Peng Y, Zhao Z, Zheng Q, Wang Z, Liu K, Jiao S, Qiu K, Zhou Z, Yan L, Zhao D, Jiang H, Dai Y, Su B, Gu P, Su H, Wan Q, Peng Y, Liu J, Hu L, Ke T, Chen L, Xu F, Dong Q, Terzopoulos D, Ning G, Xu X, Ding X, and Wang W
- Subjects
- Adult, Aged, Artificial Intelligence, China epidemiology, Female, Humans, Mass Screening, Middle Aged, Prospective Studies, Diabetes Mellitus, Diabetic Retinopathy diagnosis, Diabetic Retinopathy epidemiology
- Abstract
Introduction: Early screening for diabetic retinopathy (DR) with an efficient and scalable method is highly needed to reduce blindness, due to the growing epidemic of diabetes. The aim of the study was to validate an artificial intelligence-enabled DR screening and to investigate the prevalence of DR in adult patients with diabetes in China., Research Design and Methods: The study was prospectively conducted at 155 diabetes centers in China. A non-mydriatic, macula-centered fundus photograph per eye was collected and graded through a deep learning (DL)-based, five-stage DR classification. Images from a randomly selected one-third of participants were used for the DL algorithm validation., Results: In total, 47 269 patients (mean (SD) age, 54.29 (11.60) years) were enrolled. 15 805 randomly selected participants were reviewed by a panel of specialists for DL algorithm validation. The DR grading algorithms had a 83.3% (95% CI: 81.9% to 84.6%) sensitivity and a 92.5% (95% CI: 92.1% to 92.9%) specificity to detect referable DR. The five-stage DR classification performance (concordance: 83.0%) is comparable to the interobserver variability of specialists (concordance: 84.3%). The estimated prevalence in patients with diabetes detected by DL algorithm for any DR, referable DR and vision-threatening DR were 28.8% (95% CI: 28.4% to 29.3%), 24.4% (95% CI: 24.0% to 24.8%) and 10.8% (95% CI: 10.5% to 11.1%), respectively. The prevalence was higher in female, elderly, longer diabetes duration and higher glycated hemoglobin groups., Conclusion: This study performed, a nationwide, multicenter, DL-based DR screening and the results indicated the importance and feasibility of DR screening in clinical practice with this system deployed at diabetes centers., Trial Registration Number: NCT04240652., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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26. Gender Disparities in Lipid Goal Attainment among Type 2 Diabetes Outpatients with Coronary Heart Disease: Results from the CCMR-3B Study.
- Author
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Zhang X, Ji L, Ran X, Su B, Ji Q, and Hu D
- Subjects
- Aged, Anticholesteremic Agents adverse effects, Cholesterol, HDL blood, Coronary Disease blood, Coronary Disease complications, Coronary Disease epidemiology, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Female, Glycated Hemoglobin metabolism, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors administration & dosage, Hydroxymethylglutaryl-CoA Reductase Inhibitors adverse effects, Lipids blood, Male, Middle Aged, Outpatients, Risk Factors, Sex Characteristics, Triglycerides blood, Anticholesteremic Agents administration & dosage, Cholesterol, LDL blood, Coronary Disease drug therapy, Diabetes Mellitus, Type 2 drug therapy
- Abstract
Our study was aimed to investigate the gender disparities in lipid goal attainment among type 2 diabetes outpatients with concomitant coronary heart disease (CHD) and explore potential risk factors. We performed the present analysis using data from a nationally representative epidemiologic study. The therapeutic goal was defined as achieving a low-density lipoprotein cholesterol (LDL-C) <1.8 mmol/L. A total of 1721 male and 2072 female type 2 diabetes outpatients with established CHD were identified. Compared with men, women had higher levels of total cholesterol (4.98 vs. 4.46 mmol/L; p < 0.001), LDL-C (2.82 vs. 2.54 mmol/L; p < 0.001), and triglycerides (2.02 vs. 1.79 mmol/L; p < 0.001), but not hemoglobin A1c (7.47% vs. 7.50%; p = 0.597). The proportion of women received lipid-lowering therapy was lower (38.1% vs. 48.2%; p < 0.001). The percentages of patients who achieved the LDL-C goal were higher among men. Multivariable regression analysis indicated that the odds ratio for lipid goal attainment due to the gender difference was 0.61 after adjusting confounders. The inability to achieve LDL-C goals in women with type 2 diabetes and CHD is apparently greater than that in men. This finding underscores the importance of initiatives to establish a more aggressive lipid management strategy for women to overcome gender imbalances.
- Published
- 2017
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27. Early detection of atrophy of foot muscles in Chinese patients of type 2 diabetes mellitus by high-frequency ultrasonography.
- Author
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Wang X, Chen L, Liu W, Su B, and Zhang Y
- Subjects
- Adult, Aged, Asian People, Case-Control Studies, China epidemiology, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 ethnology, Diabetic Nephropathies diagnosis, Diabetic Nephropathies ethnology, Early Diagnosis, Female, Foot, Humans, Male, Middle Aged, Muscular Atrophy ethnology, Muscular Atrophy etiology, Predictive Value of Tests, Ultrasonography, Diabetes Mellitus, Type 2 complications, Diabetic Nephropathies etiology, Muscle, Skeletal diagnostic imaging, Muscular Atrophy diagnostic imaging
- Abstract
The aim of this study was to evaluate the diagnostic value of high-frequency ultrasonography in detecting atrophy of foot muscles in Chinese patients of type 2 diabetes mellitus (T2DM). Chinese patients of T2DM with (n = 56) or without (n = 50) diabetic peripheral neuropathy (DPN) and the control subjects (n = 50) were enrolled. The nondominant foot of all subjects was examined with high-frequency ultrasonography. The transverse diameter, thickness, and cross-sectional area of the extensor digitorum brevis muscle (EDB) and the thickness of the muscles of the first interstitium (MILs) were measured. The results showed that the ultrasonographic transverse diameter, thickness, and cross-sectional area of EDB and the thickness of MILs in patients of T2DM with DPN were significantly smaller than those in patients of T2DM without DPN (all P < 0.01) and those in the control subjects (all P < 0.01). The transverse diameter and cross-sectional area of the EDB and thickness of MILs in patients of T2DM without DPN were significantly smaller than those of the control subjects (all P < 0.01). In conclusion, the atrophy of foot muscle in Chinese T2DM patients can be detected by high-frequency ultrasonography. Notably, ultrasonography may detect early atrophy of foot muscles in patients without DPN.
- Published
- 2014
- Full Text
- View/download PDF
28. Antisense RNA-mediated suppression of Bmi-1 gene expression inhibits the proliferation of lung cancer cell line A549.
- Author
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Yu Q, Su B, Liu D, Liu B, Fan Y, Wang Y, and Meng X
- Subjects
- Apoptosis drug effects, Carcinoma, Non-Small-Cell Lung genetics, Cell Line, Tumor, G1 Phase drug effects, Humans, Polycomb Repressive Complex 1, RNA, Antisense metabolism, Resting Phase, Cell Cycle drug effects, Carcinoma, Non-Small-Cell Lung pathology, Cell Proliferation drug effects, Gene Expression Regulation, Neoplastic drug effects, Nuclear Proteins genetics, Nuclear Proteins metabolism, Proto-Oncogene Proteins genetics, Proto-Oncogene Proteins metabolism, RNA, Antisense pharmacology, Repressor Proteins genetics, Repressor Proteins metabolism
- Abstract
The oncogene Bmi-1 regulates cell proliferation and senescence. It is reported that it controlled the self-renewal of leukemic and breast cancer stem cell and was overexpressed in some solid tumors and hematologic malignancies. In this study, the effects of inactivation of Bmi-1 mediated by a plasmid-expressing antisense Bmi-1 RNA on the proliferation of lung cancer cell line A549 were investigated. As a result, when the plasmid was stably introduced into the cell line, the Bmi-1 protein level was specifically downregulated, and the cell proliferation was significantly inhibited as shown by the cell growth curve and colony forming assay. The cells were found mostly in the phase of G(0)/G(1) and cells in S phase were significantly decreased. Our results suggest that targeting Bmi-1 might be a therapeutic potential for the treatment of non-small-cell lung cancer.
- Published
- 2007
- Full Text
- View/download PDF
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