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2. Cost-effective analysis focused on hypoglycemia of intermittent-scanning continuous glucose monitoring in type 1 diabetes adults: a ISCHIA randomized clinical trial

Author

Sakane, Naoki, Matsuhisa, Munehide, Kuroda, Akio, Miura, Junnosuke, Hirota, Yushi, Kato, Ken, Toyoda, Masao, Kouyama, Ryuji, Kouyama, Kunichi, Shimada, Akira, Kawashima, Satoshi, Matoba, Yuka, Meguro, Shu, Kusunoki, Yoshiki, Hida, Kazuyuki, Tanaka, Tsuyoshi, Domichi, Masayuki, Suganuma, Akiko, Suzuki, Shota, Tone, Atsuhito, Hosoda, Kiminori, and Murata, Takashi

Published
2024
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15. Phase angle and extracellular water-to-total body water ratio estimated by bioelectrical impedance analysis are associated with levels of hemoglobin and hematocrit in patients with diabetes

Author

Hori, Taiki, Nakamura, Shingen, Yamagami, Hiroki, Yasui, Saya, Hosoki, Minae, Hara, Tomoyo, Mitsui, Yukari, Masuda, Shiho, Kurahashi, Kiyoe, Yoshida, Sumiko, Harada, Takeshi, Kuroda, Akio, Otoda, Toshiki, Yuasa, Tomoyuki, Endo, Itsuro, Matsuhisa, Munehide, Abe, Masahiro, and Aihara, Ken-ichi

Published
2023
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16. Prevention of hypoglycemia by intermittent-scanning continuous glucose monitoring device combined with structured education in patients with type 1 diabetes mellitus: A randomized, crossover trial

Author

Murata, Takashi, Hosoda, Kiminori, Kunihiro Nishimura, Miyamoto, Yoshihiro, Sakane, Naoki, Satoh-Asahara, Noriko, Toyoda, Masao, Hirota, Yushi, Matsuhisa, Munehide, Kuroda, Akio, Kato, Ken, Kouyama, Ryuji, Miura, Junnosuke, Tone, Atsuhito, Kasahara, Masato, Kasama, Shu, Suzuki, Shota, Ito, Yukie, Watanabe, Tomokazu, Suganuma, Akiko, Shen, Zhuo, Kobayashi, Hiroko, Takagi, Satoshi, Hoshina, Sari, Shimura, Kanako, Tsuchida, Yukiko, Kimura, Moritsugu, Saito, Nobumichi, Shimada, Akira, Oikawa, Yoichi, Satomura, Atsushi, Haisa, Akifumi, Kawashima, Satoshi, Meguro, Shu, Itoh, Hiroshi, Saisho, Yoshifumi, Irie, Junichiro, Tanaka, Masami, Mitsuishi, Masanori, Nakajima, Yuya, Inaishi, Jun, Kinouchi, Kenichiro, Yamaguchi, Shintaro, Itoh, Arata, Sugiyama, Kazutoshi, Yagi, Kazuma, Tsuchiya, Tami, Kodani, Noriko, Shimizu, Ikki, Fukuda, Tetsuya, Kusunoki, Yoshiki, Katsuno, Tomoyuki, Matoba, Yuka, Hitaka, Yumi, Abe, Kentaro, Tanaka, Natsuko, Taniguchi, Ryoko, Nagao, Toshihiko, Hida, Kazuyuki, Iseda, Izumi, Takeda, Masaya, Matsushita, Yuichi, Tenta, Masafumi, Tanaka, Tsuyoshi, Kouyama, Kunichi, and Fukunaga, Michiru

Published
2023
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23. Development of Liver Fibrosis Represented by the Fibrosis-4 Index Is a Specific Risk Factor for Tubular Injury in Individuals with Type 2 Diabetes.

Author

Hara, Tomoyo, Watanabe, Takeshi, Yamagami, Hiroki, Miyataka, Kohsuke, Yasui, Saya, Asai, Takahito, Kaneko, Yousuke, Mitsui, Yukari, Masuda, Shiho, Kurahashi, Kiyoe, Otoda, Toshiki, Yuasa, Tomoyuki, Kuroda, Akio, Endo, Itsuro, Honda, Soichi, Kondo, Akira, Matsuhisa, Munehide, and Aihara, Ken-ichi

Subjects
INJURY risk factors, HEPATIC fibrosis, DIABETIC nephropathies, TYPE 2 diabetes, HYPERTENSION risk factors
Abstract

Although hyperglycemia and hypertension are well-known risk factors for glomerular injury in individuals with type 2 diabetes (T2D), specific risk factors for tubular injury remain unclear. We aimed to clarify the differences between risk factors for glomerular injury and risk factors for tubular injury in individuals with T2D. We categorized 1243 subjects into four groups based on urinary biomarkers, including the albumin-to-creatinine ratio (uACR) and L-type fatty acid-binding protein-to-creatinine ratio (uL-ABPCR) as a normal (N) group (uACR < 30 mg/gCr and uL-FABPCR < 5 μg/gCr; n = 637), a glomerular specific injury (G) group (uACR ≥ 30 mg/gCr and uL-FABPCR < 5 μg/gCr; n = 248), a tubular specific injury (T) group (uACR < 30 mg/gCr and uL-FABPCR ≥ 5 μg/gCr; n = 90), and a dual injury (D) group (uACR ≥ 30 mg/gCr and uL-FABPCR ≥ 5 μg/gCr; n = 268). Logistic regression analysis referencing the N group revealed that BMI, current smoking, and hypertension were risk factors for the G group, creatinine (Cr) and Fibrosis-4 (FIB-4) index were risk factors for the T group, and BMI, hypertension, HbA1c, Cr, and duration of diabetes were risk factors for the D group. While hypertension was a distinct specific risk factor for glomerular injury, the FIB-4 index was a specific contributor to the prevalence of tubular injury. On the other hand, the logistic regression analysis revealed that the hepatic steatosis index (HSI) did not show any significant association with the G group, T group, or D group. Taken together, the development of liver fibrosis rather than liver steatosis is an inherent threat relating to tubular injury in individuals with T2D. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Five percent weight loss is a significant 1-year predictor and an optimal 5-year cut-off for reducing the number of obesity-related cardiovascular disease risk components: the Japan Obesity and Metabolic Syndrome Study

Author

Yamakage, Hajime, primary, Jo, Takaaki, additional, Tanaka, Masashi, additional, Kato, Sayaka, additional, Hasegawa, Koji, additional, Masuda, Izuru, additional, Matsuhisa, Munehide, additional, Kotani, Kazuhiko, additional, Noda, Mitsuhiko, additional, and Satoh-Asahara, Noriko, additional

Published
2024
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26. Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): a double-blind, randomised, placebo-controlled trial

Author

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

Published
2019
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28. Effects of Xanthine Oxidase Inhibition by Febuxostat on Lipid Profiles of Patients with Hyperuricemia: Insights from Randomized PRIZE Study.

Author

Saito, Yuichi, Tanaka, Atsushi, Yoshida, Hisako, Nakashima, Hitoshi, Ban, Noriko, Matsuhisa, Munehide, Kobayashi, Yoshio, and Node, Koichi

Abstract

Although patients with hyperuricemia and gout often have dyslipidemia, the effects of febuxostat, a xanthine oxidase inhibitor, on their lipid profiles are unclear. Thus, we performed a sub-analysis of the randomized PRIZE study in which the effects of febuxostat on carotid atherosclerosis were investigated in patients with hyperuricemia. The participants were randomized to the febuxostat or control group. The primary endpoint of this sub-analysis was changes in the patients' non-high-density lipoprotein cholesterol (HDL-C) levels from baseline to 6-month follow-up. Correlations between the changes in lipid profiles and cardiometabolic parameters were also evaluated. In total, 456 patients were included. From baseline to 6 months, non-HDL-C levels were significantly reduced in the febuxostat group (−5.9 mg/dL, 95% confidence interval [CI]: −9.1 to −2.8 mg/dL, p < 0.001), but not in the control group (−1.3 mg/dL, 95% CI: −4.4 to 1.8, p = 0.348). The reduction in non-HDL-C levels was more pronounced in women and correlated with changes in serum uric acid and estimated glomerular filtration rate levels only in the febuxostat group. In patients with hyperuricemia, febuxostat treatment was associated with reduced non-HDL-C levels from baseline to the 6-month follow-up compared to the control treatment, suggesting that the lipid-lowering effect of febuxostat should be considered when targeting dyslipidemia. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Cross-Sectional and Longitudinal Associations between Skin Autofluorescence and Tubular Injury Defined by Urinary Excretion of Liver-Type Fatty Acid-Binding Protein in People with Type 2 Diabetes

Author

Yamagami, Hiroki, primary, Hara, Tomoyo, additional, Yasui, Saya, additional, Hosoki, Minae, additional, Hori, Taiki, additional, Kaneko, Yousuke, additional, Mitsui, Yukari, additional, Kurahashi, Kiyoe, additional, Harada, Takeshi, additional, Yoshida, Sumiko, additional, Nakamura, Shingen, additional, Otoda, Toshiki, additional, Yuasa, Tomoyuki, additional, Kuroda, Akio, additional, Endo, Itsuro, additional, Matsuhisa, Munehide, additional, Abe, Masahiro, additional, and Aihara, Ken-ichi, additional

Published
2023
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31. Dehydroepiandrosterone Sulfate, an Adrenal Androgen, Is Inversely Associated with Prevalence of Dynapenia in Male Individuals with Type 2 Diabetes

Author

Yasui, Saya, primary, Kaneko, Yousuke, additional, Yamagami, Hiroki, additional, Hosoki, Minae, additional, Hori, Taiki, additional, Tani, Akihiro, additional, Hara, Tomoyo, additional, Kurahashi, Kiyoe, additional, Harada, Takeshi, additional, Nakamura, Shingen, additional, Otoda, Toshiki, additional, Yuasa, Tomoyuki, additional, Mori, Hiroyasu, additional, Kuroda, Akio, additional, Endo, Itsuro, additional, Matsuhisa, Munehide, additional, Soeki, Takeshi, additional, and Aihara, Ken-ichi, additional

Published
2023
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34. 糖尿病患者におけるうま味味覚感度は食品摂取と口腔内環境に関連する

Author

Kawakami, Ayuka, Bando, Mika, Takashi, Tomoe, Sugiuchi, Mizuki, Hyodo, Mizusa, Mishima, Yuna, Kuroda, Masashi, Mori, Hiroyasu, Kuroda, Akio, Yumoto, Hiromichi, Matsuhisa, Munehide, Sakaue, Hiroshi, and Tsutsumi, Rie

Subjects
Oral environments, Umami, Food intake, Diabetes, taste sensitivity
Abstract

Objective : Dysgeusia is a serious problem in patients with diabetes because it often leads to overeating, which is associated with disease progression. This study aimed to investigate the association between taste sensitivity, eating habits, and the oral environment. Subjects and methods : In this cross-sectional study of 75 subjects with diabetes, gustatory function was assessed using the whole-mouth method, and lingual taste receptor gene expression was measured by real-time PCR. Food intake was evaluated using a food frequency questionnaire based on food groups. The oral environment was assessed using xerostomia and periodontal comprehensive examination. Results : In total, 45.3%, 28.0%, and 18.7% of subjects showed lower umami taste sensitivity, low sweet taste sensitivity, and low salt taste sensitivity, respectively. Lower umami sensitivity correlated with lower estimated glomerular filtration rate and higher energy-source food intake. Subjects with diabetes with higher plaque control record showed significantly higher T1R3 gene expression than those with lower plaque control record. Conclusion : Reduced umami taste sensitivity is associated with decreased renal function and high energy food intake in diabetes. Subjects with diabetes with higher plaque control record showed significantly higher T1R3 gene expression, suggesting that the oral environment affects taste gene expression.

Published
2023

38. Effect of an intensified multifactorial intervention on cardiovascular outcomes and mortality in type 2 diabetes (J-DOIT3): an open-label, randomised controlled trial

Author

Haneda, Masakazu, Iwashima, Yasunori, Suda, Toshihiro, Tamasawa, Naoki, Daimon, Makoto, Satoh, Jo, Takebe, Noriko, Ishigaki, Yasushi, Watanabe, Tsuyoshi, Satoh, Hiroaki, Kasai, Kikuo, Aso, Yoshimasa, Ishibashi, Shun, Katayama, Shigehiro, Ishikawa, San-e, Kakei, Masafumi, Namai, Kazuyuki, Hashimoto, Naotake, Suzuki, Yoshifumi, Onishi, Shunichiro, Yokote, Koutaro, Matsuda, Masafumi, Masuzawa, Masahiro, Hayashi, Yoichi, Saito, Satoshi, Ogihara, Norikazu, Ishihara, Hisamitsu, Tajima, Naoko, Utsunomiya, Kazunori, Shimada, Akira, Itoh, Hiroshi, Kawamori, Ryuzo, Watada, Hirotaka, Hayashi, Michio, Mori, Yasumichi, Shiba, Teruo, Isogawa, Akihiro, Sakura, Hiroshi, Odawara, Masato, Tobe, Kazuyuki, Tsukamoto, Kazuhisa, Yamauchi, Toshimasa, Teramoto, Tamio, Hirata, Yukio, Uchimura, Isao, Ogawa, Yoshihiro, Yoshino, Gen, Hirose, Takahisa, Kajio, Hiroshi, Atsumi, Yoshihito, Oikawa, Yoichi, Araki, Atsushi, Ueki, Akio, Ohno, Atsushi, Kitaoka, Masafumi, Fujita, Yoshikuni, Moriya, Tatsumi, Tojo, Taiki, Shichiri, Masayoshi, Suzuki, Daisuke, Toyoda, Masao, Hamano, Kumiko, Komi, Rieko, Terauchi, Yasuo, Kuzuya, Nobuaki, Yamada, Masayo, Takamura, Toshinari, Imura, Mitsuo, Tanaka, Hiroshi, Hayashi, Masayuki, Kato, Yasuhisa, Itoh, Mitsuyasu, Suzuki, Atsushi, Nakayama, Mikihiro, Sano, Takahisa, Nakashima, Eitaro, Sumida, Yasuhiro, Yano, Yutaka, Tanaka, Tsuyoshi, Murata, Kazuya, Kashiwagi, Atsunori, Maegawa, Hiroshi, Kono, Shigeo, Inagaki, Nobuya, Kosugi, Keisuke, Yasuda, Tetsuyuki, Yoshimasa, Yasunao, Kishimoto, Ichiro, Sato, Toshihiko, Hosoi, Masayuki, Yamasaki, Tomoyuki, Matsuhisa, Munehide, Shimomura, Iichiro, Taniguchi, Ataru, Kuroe, Akira, Kurose, Takeshi, Ohara, Takeshi, Sakaguchi, Kazuhiko, Namba, Mitsuyoshi, Kaku, Kohei, Fujiwara, Masazumi, Shimizu, Ikki, Ono, Keizo, Ebisui, Osamu, Tanizawa, Yukio, Okada, Yosuke, Natori, Shoichi, Kodera, Takehiko, Sato, Naoichi, Ide, Makoto, Yamada, Kentaro, Umeda, Fumio, Eto, Tomoaki, Mimura, Kazuo, Hiramatsu, Shinsuke, Inoue, Tomoaki, Takei, Ryoko, Ogo, Atsushi, Eguchi, Katsumi, Kawasaki, Eiji, Koide, Yuji, Araki, Eiichi, Jinnouchi, Hideaki, Yamamoto, Hiroaki, Motoyoshi, Mitsutaka, Hiyoshi, Toru, Tanaka, Yasushi, Momoki, Tadahisa, Sato, Koichiro, Yoneyama, Akihiko, Ito, Kenichi, Sobajima, Hiroshi, Ikegami, Hiroshi, Ikeda, Masaki, Ikeda, Hiroki, Takahashi, Kenji, Makino, Hirofumi, Ueda, Yasuo, Nakazato, Masamitsu, Ueki, Kohjiro, Sasako, Takayoshi, Okazaki, Yukiko, Kato, Masayuki, Okahata, Sumie, Katsuyama, Hisayuki, Haraguchi, Mikiko, Morita, Ai, Ohashi, Ken, Hara, Kazuo, Morise, Atsushi, Izumi, Kazuo, Ishizuka, Naoki, Ohashi, Yasuo, Noda, Mitsuhiko, and Kadowaki, Takashi

Published
2017
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40. Nasal Glucagon Reverses Insulin-induced Hypoglycemia With Less Rebound Hyperglycemia: Pooled Analysis of Clinical Trials.

Author

Seaquist, Elizabeth, Giménez, Marga, Yan, Yu, Matsuhisa, Munehide, Kao, Christi Yuting, Wadwa, R Paul, Nagai, Yukiko, and Khunti, Kamlesh

Subjects
HYPOGLYCEMIA, TYPE 1 diabetes, HYPERGLYCEMIA, GLUCAGON, TYPE 2 diabetes, INSULIN pumps, BLOOD sugar monitors
Abstract

Background Rebound hyperglycemia may occur following glucagon treatment for severe hypoglycemia. We assessed rebound hyperglycemia occurrence after nasal glucagon (NG) or injectable glucagon (IG) administration in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods This was a pooled analysis of 3 multicenter, randomized, open-label studies (NCT03339453, NCT03421379, NCT01994746) in patients ≥18 years with T1D or T2D with induced hypoglycemia. Proportions of patients achieving treatment success [blood glucose (BG) increase to ≥70 mg/dL or increase of ≥20 mg/dL from nadir within 15 and 30 minutes]; BG ≥70 mg/dL within 15 minutes; in-range BG (70-180 mg/dL) 1 to 2 and 1 to 4 hours postdose; and BG >180 mg/dL 1 to 2 and 1 to 4 hours postdose were compared. Incremental area under curve (iAUC) of BG >180 mg/dL and area under curve (AUC) of observed BG values postdose were analyzed. Safety was assessed in all studies. Results Higher proportions of patients had in-range BG with NG vs IG (1-2 hours: P =.0047; 1-4 hours: P =.0034). Lower proportions of patients had at least 1 BG value >180 mg/dL with NG vs IG (1-2 hours: P =.0034; 1-4 hours: P =.0068). iAUC and AUC were lower with NG vs IG (P =.025 and P <.0001). As expected, similar proportions of patients receiving NG or IG achieved treatment success at 15 and 30 minutes (97-100%). Most patients had BG ≥70 mg/dL within 15 minutes (93-96%). The safety profile was consistent with previous studies. Conclusion This study demonstrated lower rebound hyperglycemia risk after NG treatment compared with IG. Clinical Trial Registration NCT03421379, NCT03339453, NCT01994746 [ABSTRACT FROM AUTHOR]

Published
2024
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41. Causes of In-Hospital Death and Pharmaceutical Associations with Age of Death during a 10-Year Period (2011–2020) in Individuals with and without Diabetes at a Japanese Community General Hospital.

Author

Hosoki, Minae, Hori, Taiki, Kaneko, Yousuke, Mori, Kensuke, Yasui, Saya, Tsuji, Seijiro, Yamagami, Hiroki, Kawata, Saki, Hara, Tomoyo, Masuda, Shiho, Mitsui, Yukari, Kurahashi, Kiyoe, Harada, Takeshi, Nakamura, Shingen, Otoda, Toshiki, Yuasa, Tomoyuki, Kuroda, Akio, Endo, Itsuro, Matsuhisa, Munehide, and Aihara, Ken-ichi

Subjects
CAUSES of death, INSULIN secretagogues, DIABETES complications, DIABETES, LIFE spans
Abstract

Since diabetes and its complications have been thought to exaggerate cardiorenal disease, resulting in a short lifespan, we investigated causes of death and lifespans in individuals with and without diabetes at a Japanese community general hospital during the period from 2011 to 2020. Causes of death and age of death in individuals with and those without diabetes were compared, and associations between medications used and age of death were statistically analyzed. A total of 2326 deaths were recorded during the 10-year period. There was no significant difference between the mean ages of death in individuals with and those without diabetes. Diabetic individuals had higher rates of hepato-pancreatic cancer and cardio-renal failure as causes of death. The prescription rates of antihypertensives, antiplatelets, and statins in diabetic individuals were larger than those in non-diabetic individuals. Furthermore, the use of sulfonyl urea or glinides and insulin was independently and inversely associated with the age of death. In conclusion, individuals with diabetes were treated with comprehensive pharmaceutical interventions and had life spans comparable to those of individuals without diabetes. This study's discovery of an inverse relationship between the use of insulin secretagogues or insulin and the age of death suggests that the prevention of life-threatening hypoglycemia is crucial for individuals with diabetes. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Evaluation of changes in glycemic control and diabetic complications over time and factors associated with the progression of diabetic complications in Japanese patients with juvenile‐onset type 1 diabetes mellitus.

Author

Masuda, Takafumi, Katakami, Naoto, Watanabe, Hirotaka, Taya, Naohiro, Miyashita, Kazuyuki, Takahara, Mitsuyoshi, Kato, Ken, Kuroda, Akio, Matsuhisa, Munehide, and Shimomura, Iichiro

Subjects
DIABETIC nephropathies, TYPE 1 diabetes, GLYCEMIC control, JAPANESE people, INSULIN pumps, JUVENILE diseases, CAROTID intima-media thickness, SYSTOLIC blood pressure
Abstract

Background: This study aimed to evaluate the changes in glycemic control and diabetic complications over time in Japanese patients with juvenile‐onset type 1 diabetes mellitus and to clarify the factors associated with the progression of diabetic complications. Methods: We tracked 129 patients with type 1 diabetes mellitus (21.8 ± 4.1 years old [mean ± SD] with a diabetes duration of 12.6 ± 5.7 years) for up to 19 years and analyzed data on glycated hemoglobin (HbA1c) and indicators related to the severity of diabetic complications (estimated glomerular filtration rate [eGFR], urinary albumin excretion rate [UAE], carotid intima‐media thickness [CIMT], and brachial‐ankle pulse wave velocity [baPWV]) using linear mixed model and decision tree analysis. Results: Although the HbA1c and UAE levels improved over time, the eGFR, CIMT, and baPWV worsened. Decision tree analysis showed that HbA1c and the glycoalbumin/HbA1c ratio for eGFR; HbA1c and systolic blood pressure for UAE; low‐density lipoprotein cholesterol/high‐density lipoprotein cholesterol ratio, glycoalbumin/HbA1c ratio, and body mass index (BMI) for CIMT; and HbA1c for baPWV were associated factors. Conclusions: In this retrospective observational study, glycemic control and albuminuria improved; however, renal function and arteriosclerosis worsened over time. HbA1c levels, glycemic excursion, and blood pressure are associated with nephropathy progression. HbA1c levels, glycemic excursion, lipid levels, and BMI are associated with the progression of atherosclerosis. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Impact of COVID ‐19 pandemic on behavioral changes and glycemic control and a survey of telemedicine in patients with diabetes: A multicenter retrospective observational study

Author

Bouchi, Ryotaro, primary, Sugiyama, Takehiro, additional, Goto, Atsushi, additional, Ohsugi, Mitsuru, additional, Yoshioka, Narihito, additional, Katagiri, Hideki, additional, Mita, Tomoya, additional, Hirota, Yushi, additional, Ikegami, Hiroshi, additional, Matsuhisa, Munehide, additional, Araki, Eiichi, additional, Yokoyama, Hiroki, additional, Minami, Masae, additional, Yamazaki, Katsuya, additional, Jinnouchi, Hideaki, additional, Ikeda, Hiroki, additional, Fujii, Hitomi, additional, Nogawa, Miyuki, additional, Kaneshige, Masahiro, additional, Miyo, Kengo, additional, and Ueki, Kohjiro, additional

Published
2023
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50. Vascular Endothelial Function Is Associated with eGFR Slope in Female and Non-Smoking Male Individuals with Cardiovascular Risk Factors : A Pilot Study on the Predictive Value of FMD for Renal Prognosis

Author

Masuda, Shiho, Hara, Tomoyo, Yamagami, Hiroki, Mitsui, Yukari, Kurahashi, Kiyoe, Yoshida, Sumiko, Harada, Takeshi, Otoda, Toshiki, Yuasa, Tomoyuki, Nakamura, Shingen, Kuroda, Akio, Endo, Itsuro, Matsumoto, Toshio, Matsuhisa, Munehide, Abe, Masahiro, Aihara, Ken-ichi, Masuda, Shiho, Hara, Tomoyo, Yamagami, Hiroki, Mitsui, Yukari, Kurahashi, Kiyoe, Yoshida, Sumiko, Harada, Takeshi, Otoda, Toshiki, Yuasa, Tomoyuki, Nakamura, Shingen, Kuroda, Akio, Endo, Itsuro, Matsumoto, Toshio, Matsuhisa, Munehide, Abe, Masahiro, and Aihara, Ken-ichi

Abstract

Aims: It is known that there are sex differences in vascular endothelial function and the development of chronic kidney diseases; however, it remains unclear whether sex differences influence the association between vascular endothelial function and renal prognosis. Methods: To clarify the relationship between vascular endothelial function and longitudinal eGFR changes in male and female patients with cardiovascular risk factors, we retrospectively evaluated 341 patients (176 males and 165 females) with cardiovascular risk factors in whom vascular function was assessed by flow-mediated dilation (FMD) and brachial-ankle pulse wave velocity (baPWV) and in whom 24-month longitudinal eGFR values were recorded after the vascular function examinations. Associations of values of FMD and baPWV with values of eGFR slope were statistically analyzed. Results: Simple regression analysis showed that the value of FMD was positively associated with eGFR slope in females (p=0.001) and non-smoking males (p=0.033) but not in smoking males. Multiple regression analysis showed that the value of FMD remains a positive contributor for eGFR slope in females (p=0.001) and non-smoking males (p=0.045) but not in smoking males. In contrast, values of baPWV had no significant association with eGFR slope regardless of sex and cigarette smoking. Conclusions: In individuals with cardiovascular risk factors, evaluation of vascular endothelial function enables prediction of renal prognosis in females and non-smoking males.

Published
2023

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